Upload folder using huggingface_hub
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/README.md +202 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/adapter_config.json +29 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/adapter_model.safetensors +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1298/README.md +202 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1298/adapter_config.json +29 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1298/adapter_model.safetensors +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1298/optimizer.pt +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1298/rng_state.pth +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1298/scheduler.pt +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1298/special_tokens_map.json +24 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1298/tokenizer.json +0 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1298/tokenizer.model +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1298/tokenizer_config.json +0 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1298/trainer_state.json +952 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1298/training_args.bin +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1947/README.md +202 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1947/adapter_config.json +29 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1947/adapter_model.safetensors +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1947/optimizer.pt +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1947/rng_state.pth +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1947/scheduler.pt +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1947/special_tokens_map.json +24 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1947/tokenizer.json +0 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1947/tokenizer.model +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1947/tokenizer_config.json +0 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1947/trainer_state.json +1415 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1947/training_args.bin +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-2596/README.md +202 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-2596/adapter_config.json +29 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-2596/adapter_model.safetensors +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-2596/optimizer.pt +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-2596/rng_state.pth +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-2596/scheduler.pt +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-2596/special_tokens_map.json +24 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-2596/tokenizer.json +0 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-2596/tokenizer.model +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-2596/tokenizer_config.json +0 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-2596/trainer_state.json +1878 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-2596/training_args.bin +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-3245/README.md +202 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-3245/adapter_config.json +29 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-3245/adapter_model.safetensors +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-3245/optimizer.pt +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-3245/rng_state.pth +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-3245/scheduler.pt +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-3245/special_tokens_map.json +24 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-3245/tokenizer.json +0 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-3245/tokenizer.model +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-3245/tokenizer_config.json +0 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-3245/trainer_state.json +2341 -0
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.3
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.13.1
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/adapter_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 32,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 64,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"v_proj",
|
| 24 |
+
"q_proj"
|
| 25 |
+
],
|
| 26 |
+
"task_type": "CAUSAL_LM",
|
| 27 |
+
"use_dora": false,
|
| 28 |
+
"use_rslora": false
|
| 29 |
+
}
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a44c433d1d2471c754528eab3ff9a4024e4275cb205d77e15461656b50f32278
|
| 3 |
+
size 109069176
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1298/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.3
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.13.1
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1298/adapter_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 32,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 64,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"v_proj",
|
| 24 |
+
"q_proj"
|
| 25 |
+
],
|
| 26 |
+
"task_type": "CAUSAL_LM",
|
| 27 |
+
"use_dora": false,
|
| 28 |
+
"use_rslora": false
|
| 29 |
+
}
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1298/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:18b6554ea4ef6bac2efc86df4685882fdd102ee951a06f539e71f1f62df0309a
|
| 3 |
+
size 109069176
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1298/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d015481056925fc897a30c15ff6112485e76723a4612ab8b52e6f299169afd1e
|
| 3 |
+
size 55532666
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1298/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3fc5c74ab5028964ebe81887d5bab96bc9b52cbefa368c9bbe87daa5d227f840
|
| 3 |
+
size 14244
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1298/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e7d569e82154ffde0850754b22a8d297db4e4ea0b3a3e5316f520a7417a43812
|
| 3 |
+
size 1064
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1298/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1298/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1298/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
| 3 |
+
size 587404
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1298/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1298/trainer_state.json
ADDED
|
@@ -0,0 +1,952 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 1.212496042251587,
|
| 3 |
+
"best_model_checkpoint": "outputs-001/Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-649",
|
| 4 |
+
"epoch": 2.0,
|
| 5 |
+
"eval_steps": 10,
|
| 6 |
+
"global_step": 1298,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.015408320493066256,
|
| 13 |
+
"grad_norm": 0.939333975315094,
|
| 14 |
+
"learning_rate": 0.0002,
|
| 15 |
+
"loss": 1.9609,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.030816640986132512,
|
| 20 |
+
"grad_norm": 0.9446700215339661,
|
| 21 |
+
"learning_rate": 0.0002,
|
| 22 |
+
"loss": 1.5975,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.046224961479198766,
|
| 27 |
+
"grad_norm": 0.7268466353416443,
|
| 28 |
+
"learning_rate": 0.0002,
|
| 29 |
+
"loss": 1.5196,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.061633281972265024,
|
| 34 |
+
"grad_norm": 0.8900066018104553,
|
| 35 |
+
"learning_rate": 0.0002,
|
| 36 |
+
"loss": 1.5021,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.07704160246533127,
|
| 41 |
+
"grad_norm": 4.246077060699463,
|
| 42 |
+
"learning_rate": 0.0002,
|
| 43 |
+
"loss": 1.4155,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.09244992295839753,
|
| 48 |
+
"grad_norm": 0.7887561321258545,
|
| 49 |
+
"learning_rate": 0.0002,
|
| 50 |
+
"loss": 1.4052,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.10785824345146379,
|
| 55 |
+
"grad_norm": 0.6822794675827026,
|
| 56 |
+
"learning_rate": 0.0002,
|
| 57 |
+
"loss": 1.215,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.12326656394453005,
|
| 62 |
+
"grad_norm": 0.8871720433235168,
|
| 63 |
+
"learning_rate": 0.0002,
|
| 64 |
+
"loss": 1.2524,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.1386748844375963,
|
| 69 |
+
"grad_norm": 0.6524078249931335,
|
| 70 |
+
"learning_rate": 0.0002,
|
| 71 |
+
"loss": 1.191,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.15408320493066255,
|
| 76 |
+
"grad_norm": 0.5519863367080688,
|
| 77 |
+
"learning_rate": 0.0002,
|
| 78 |
+
"loss": 1.2455,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.1694915254237288,
|
| 83 |
+
"grad_norm": 0.6716212630271912,
|
| 84 |
+
"learning_rate": 0.0002,
|
| 85 |
+
"loss": 1.2515,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.18489984591679506,
|
| 90 |
+
"grad_norm": 1.527921199798584,
|
| 91 |
+
"learning_rate": 0.0002,
|
| 92 |
+
"loss": 1.2239,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.20030816640986132,
|
| 97 |
+
"grad_norm": 0.6893861293792725,
|
| 98 |
+
"learning_rate": 0.0002,
|
| 99 |
+
"loss": 1.2887,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.21571648690292758,
|
| 104 |
+
"grad_norm": 0.5514246821403503,
|
| 105 |
+
"learning_rate": 0.0002,
|
| 106 |
+
"loss": 1.1722,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.23112480739599384,
|
| 111 |
+
"grad_norm": 0.5830065608024597,
|
| 112 |
+
"learning_rate": 0.0002,
|
| 113 |
+
"loss": 1.1946,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.2465331278890601,
|
| 118 |
+
"grad_norm": 0.7411216497421265,
|
| 119 |
+
"learning_rate": 0.0002,
|
| 120 |
+
"loss": 1.3105,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.26194144838212635,
|
| 125 |
+
"grad_norm": 0.7470705509185791,
|
| 126 |
+
"learning_rate": 0.0002,
|
| 127 |
+
"loss": 1.2008,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.2773497688751926,
|
| 132 |
+
"grad_norm": 0.6140725016593933,
|
| 133 |
+
"learning_rate": 0.0002,
|
| 134 |
+
"loss": 1.2497,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.29275808936825887,
|
| 139 |
+
"grad_norm": 0.7563071250915527,
|
| 140 |
+
"learning_rate": 0.0002,
|
| 141 |
+
"loss": 1.1514,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.3081664098613251,
|
| 146 |
+
"grad_norm": 0.5491266250610352,
|
| 147 |
+
"learning_rate": 0.0002,
|
| 148 |
+
"loss": 1.2703,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.3235747303543914,
|
| 153 |
+
"grad_norm": 0.5403220057487488,
|
| 154 |
+
"learning_rate": 0.0002,
|
| 155 |
+
"loss": 1.2168,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.3389830508474576,
|
| 160 |
+
"grad_norm": 0.9616869688034058,
|
| 161 |
+
"learning_rate": 0.0002,
|
| 162 |
+
"loss": 1.2409,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.3543913713405239,
|
| 167 |
+
"grad_norm": 0.5448639988899231,
|
| 168 |
+
"learning_rate": 0.0002,
|
| 169 |
+
"loss": 1.3112,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.3697996918335901,
|
| 174 |
+
"grad_norm": 0.6322043538093567,
|
| 175 |
+
"learning_rate": 0.0002,
|
| 176 |
+
"loss": 1.3023,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.3852080123266564,
|
| 181 |
+
"grad_norm": 0.5178093314170837,
|
| 182 |
+
"learning_rate": 0.0002,
|
| 183 |
+
"loss": 1.2382,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.40061633281972264,
|
| 188 |
+
"grad_norm": 0.6274669766426086,
|
| 189 |
+
"learning_rate": 0.0002,
|
| 190 |
+
"loss": 1.2755,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.41602465331278893,
|
| 195 |
+
"grad_norm": 1.1093109846115112,
|
| 196 |
+
"learning_rate": 0.0002,
|
| 197 |
+
"loss": 1.3263,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.43143297380585516,
|
| 202 |
+
"grad_norm": 1.8002032041549683,
|
| 203 |
+
"learning_rate": 0.0002,
|
| 204 |
+
"loss": 1.2201,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.44684129429892144,
|
| 209 |
+
"grad_norm": 0.5977614521980286,
|
| 210 |
+
"learning_rate": 0.0002,
|
| 211 |
+
"loss": 1.2335,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.4622496147919877,
|
| 216 |
+
"grad_norm": 0.5583769083023071,
|
| 217 |
+
"learning_rate": 0.0002,
|
| 218 |
+
"loss": 1.2076,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.4776579352850539,
|
| 223 |
+
"grad_norm": 0.5563502311706543,
|
| 224 |
+
"learning_rate": 0.0002,
|
| 225 |
+
"loss": 1.197,
|
| 226 |
+
"step": 310
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.4930662557781202,
|
| 230 |
+
"grad_norm": 0.9157887101173401,
|
| 231 |
+
"learning_rate": 0.0002,
|
| 232 |
+
"loss": 1.164,
|
| 233 |
+
"step": 320
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.5084745762711864,
|
| 237 |
+
"grad_norm": 0.551705539226532,
|
| 238 |
+
"learning_rate": 0.0002,
|
| 239 |
+
"loss": 1.1266,
|
| 240 |
+
"step": 330
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.5238828967642527,
|
| 244 |
+
"grad_norm": 9.011388778686523,
|
| 245 |
+
"learning_rate": 0.0002,
|
| 246 |
+
"loss": 1.2801,
|
| 247 |
+
"step": 340
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.539291217257319,
|
| 251 |
+
"grad_norm": 0.6527810096740723,
|
| 252 |
+
"learning_rate": 0.0002,
|
| 253 |
+
"loss": 1.2024,
|
| 254 |
+
"step": 350
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.5546995377503852,
|
| 258 |
+
"grad_norm": 1.3121646642684937,
|
| 259 |
+
"learning_rate": 0.0002,
|
| 260 |
+
"loss": 1.1424,
|
| 261 |
+
"step": 360
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.5701078582434514,
|
| 265 |
+
"grad_norm": 0.7247968316078186,
|
| 266 |
+
"learning_rate": 0.0002,
|
| 267 |
+
"loss": 1.2555,
|
| 268 |
+
"step": 370
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.5855161787365177,
|
| 272 |
+
"grad_norm": 0.5430527925491333,
|
| 273 |
+
"learning_rate": 0.0002,
|
| 274 |
+
"loss": 1.196,
|
| 275 |
+
"step": 380
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.600924499229584,
|
| 279 |
+
"grad_norm": 0.6050328612327576,
|
| 280 |
+
"learning_rate": 0.0002,
|
| 281 |
+
"loss": 1.1822,
|
| 282 |
+
"step": 390
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.6163328197226502,
|
| 286 |
+
"grad_norm": 0.49382615089416504,
|
| 287 |
+
"learning_rate": 0.0002,
|
| 288 |
+
"loss": 1.2754,
|
| 289 |
+
"step": 400
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.6317411402157165,
|
| 293 |
+
"grad_norm": 0.5804041624069214,
|
| 294 |
+
"learning_rate": 0.0002,
|
| 295 |
+
"loss": 1.2595,
|
| 296 |
+
"step": 410
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.6471494607087828,
|
| 300 |
+
"grad_norm": 0.524357259273529,
|
| 301 |
+
"learning_rate": 0.0002,
|
| 302 |
+
"loss": 1.2926,
|
| 303 |
+
"step": 420
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.662557781201849,
|
| 307 |
+
"grad_norm": 1.8817486763000488,
|
| 308 |
+
"learning_rate": 0.0002,
|
| 309 |
+
"loss": 1.1928,
|
| 310 |
+
"step": 430
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.6779661016949152,
|
| 314 |
+
"grad_norm": 0.6104950308799744,
|
| 315 |
+
"learning_rate": 0.0002,
|
| 316 |
+
"loss": 1.2103,
|
| 317 |
+
"step": 440
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.6933744221879815,
|
| 321 |
+
"grad_norm": 0.631179928779602,
|
| 322 |
+
"learning_rate": 0.0002,
|
| 323 |
+
"loss": 1.2296,
|
| 324 |
+
"step": 450
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.7087827426810478,
|
| 328 |
+
"grad_norm": 0.6562483310699463,
|
| 329 |
+
"learning_rate": 0.0002,
|
| 330 |
+
"loss": 1.1843,
|
| 331 |
+
"step": 460
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.724191063174114,
|
| 335 |
+
"grad_norm": 0.578336775302887,
|
| 336 |
+
"learning_rate": 0.0002,
|
| 337 |
+
"loss": 1.2424,
|
| 338 |
+
"step": 470
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.7395993836671803,
|
| 342 |
+
"grad_norm": 0.8468874096870422,
|
| 343 |
+
"learning_rate": 0.0002,
|
| 344 |
+
"loss": 1.192,
|
| 345 |
+
"step": 480
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.7550077041602465,
|
| 349 |
+
"grad_norm": 0.7162539958953857,
|
| 350 |
+
"learning_rate": 0.0002,
|
| 351 |
+
"loss": 1.2913,
|
| 352 |
+
"step": 490
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.7704160246533128,
|
| 356 |
+
"grad_norm": 0.7655543684959412,
|
| 357 |
+
"learning_rate": 0.0002,
|
| 358 |
+
"loss": 1.2158,
|
| 359 |
+
"step": 500
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.785824345146379,
|
| 363 |
+
"grad_norm": 0.5711562037467957,
|
| 364 |
+
"learning_rate": 0.0002,
|
| 365 |
+
"loss": 1.2637,
|
| 366 |
+
"step": 510
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.8012326656394453,
|
| 370 |
+
"grad_norm": 0.7273485660552979,
|
| 371 |
+
"learning_rate": 0.0002,
|
| 372 |
+
"loss": 1.1277,
|
| 373 |
+
"step": 520
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.8166409861325116,
|
| 377 |
+
"grad_norm": 0.47050145268440247,
|
| 378 |
+
"learning_rate": 0.0002,
|
| 379 |
+
"loss": 1.188,
|
| 380 |
+
"step": 530
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.8320493066255779,
|
| 384 |
+
"grad_norm": 0.4930959939956665,
|
| 385 |
+
"learning_rate": 0.0002,
|
| 386 |
+
"loss": 1.1462,
|
| 387 |
+
"step": 540
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.847457627118644,
|
| 391 |
+
"grad_norm": 0.553955614566803,
|
| 392 |
+
"learning_rate": 0.0002,
|
| 393 |
+
"loss": 1.167,
|
| 394 |
+
"step": 550
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.8628659476117103,
|
| 398 |
+
"grad_norm": 0.6495056748390198,
|
| 399 |
+
"learning_rate": 0.0002,
|
| 400 |
+
"loss": 1.1831,
|
| 401 |
+
"step": 560
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.8782742681047766,
|
| 405 |
+
"grad_norm": 0.4586578905582428,
|
| 406 |
+
"learning_rate": 0.0002,
|
| 407 |
+
"loss": 1.0984,
|
| 408 |
+
"step": 570
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.8936825885978429,
|
| 412 |
+
"grad_norm": 0.4870392680168152,
|
| 413 |
+
"learning_rate": 0.0002,
|
| 414 |
+
"loss": 1.2415,
|
| 415 |
+
"step": 580
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.9090909090909091,
|
| 419 |
+
"grad_norm": 0.6337013244628906,
|
| 420 |
+
"learning_rate": 0.0002,
|
| 421 |
+
"loss": 1.1735,
|
| 422 |
+
"step": 590
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.9244992295839753,
|
| 426 |
+
"grad_norm": 0.7260186672210693,
|
| 427 |
+
"learning_rate": 0.0002,
|
| 428 |
+
"loss": 1.1781,
|
| 429 |
+
"step": 600
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.9399075500770416,
|
| 433 |
+
"grad_norm": 1.4133737087249756,
|
| 434 |
+
"learning_rate": 0.0002,
|
| 435 |
+
"loss": 1.2536,
|
| 436 |
+
"step": 610
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.9553158705701078,
|
| 440 |
+
"grad_norm": 0.573525071144104,
|
| 441 |
+
"learning_rate": 0.0002,
|
| 442 |
+
"loss": 1.2211,
|
| 443 |
+
"step": 620
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.9707241910631741,
|
| 447 |
+
"grad_norm": 0.8403644561767578,
|
| 448 |
+
"learning_rate": 0.0002,
|
| 449 |
+
"loss": 1.11,
|
| 450 |
+
"step": 630
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.9861325115562404,
|
| 454 |
+
"grad_norm": 0.7665438055992126,
|
| 455 |
+
"learning_rate": 0.0002,
|
| 456 |
+
"loss": 1.2932,
|
| 457 |
+
"step": 640
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 1.0,
|
| 461 |
+
"eval_loss": 1.212496042251587,
|
| 462 |
+
"eval_runtime": 120.3264,
|
| 463 |
+
"eval_samples_per_second": 3.79,
|
| 464 |
+
"eval_steps_per_second": 0.474,
|
| 465 |
+
"step": 649
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 1.0015408320493067,
|
| 469 |
+
"grad_norm": 0.6874801516532898,
|
| 470 |
+
"learning_rate": 0.0002,
|
| 471 |
+
"loss": 1.176,
|
| 472 |
+
"step": 650
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 1.0169491525423728,
|
| 476 |
+
"grad_norm": 0.6675221920013428,
|
| 477 |
+
"learning_rate": 0.0002,
|
| 478 |
+
"loss": 1.0957,
|
| 479 |
+
"step": 660
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 1.0323574730354392,
|
| 483 |
+
"grad_norm": 0.6837265491485596,
|
| 484 |
+
"learning_rate": 0.0002,
|
| 485 |
+
"loss": 1.1616,
|
| 486 |
+
"step": 670
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 1.0477657935285054,
|
| 490 |
+
"grad_norm": 0.6796931028366089,
|
| 491 |
+
"learning_rate": 0.0002,
|
| 492 |
+
"loss": 1.045,
|
| 493 |
+
"step": 680
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 1.0631741140215716,
|
| 497 |
+
"grad_norm": 0.6596675515174866,
|
| 498 |
+
"learning_rate": 0.0002,
|
| 499 |
+
"loss": 1.0889,
|
| 500 |
+
"step": 690
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 1.078582434514638,
|
| 504 |
+
"grad_norm": 0.6630653142929077,
|
| 505 |
+
"learning_rate": 0.0002,
|
| 506 |
+
"loss": 1.067,
|
| 507 |
+
"step": 700
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 1.0939907550077042,
|
| 511 |
+
"grad_norm": 0.7065498232841492,
|
| 512 |
+
"learning_rate": 0.0002,
|
| 513 |
+
"loss": 1.0222,
|
| 514 |
+
"step": 710
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 1.1093990755007703,
|
| 518 |
+
"grad_norm": 0.694682240486145,
|
| 519 |
+
"learning_rate": 0.0002,
|
| 520 |
+
"loss": 1.081,
|
| 521 |
+
"step": 720
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 1.1248073959938367,
|
| 525 |
+
"grad_norm": 0.8984217047691345,
|
| 526 |
+
"learning_rate": 0.0002,
|
| 527 |
+
"loss": 1.1019,
|
| 528 |
+
"step": 730
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 1.140215716486903,
|
| 532 |
+
"grad_norm": 1.0035051107406616,
|
| 533 |
+
"learning_rate": 0.0002,
|
| 534 |
+
"loss": 1.0506,
|
| 535 |
+
"step": 740
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 1.1556240369799693,
|
| 539 |
+
"grad_norm": 0.8646948933601379,
|
| 540 |
+
"learning_rate": 0.0002,
|
| 541 |
+
"loss": 1.0502,
|
| 542 |
+
"step": 750
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 1.1710323574730355,
|
| 546 |
+
"grad_norm": 0.6287558674812317,
|
| 547 |
+
"learning_rate": 0.0002,
|
| 548 |
+
"loss": 1.0256,
|
| 549 |
+
"step": 760
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 1.1864406779661016,
|
| 553 |
+
"grad_norm": 0.6975560784339905,
|
| 554 |
+
"learning_rate": 0.0002,
|
| 555 |
+
"loss": 1.051,
|
| 556 |
+
"step": 770
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 1.201848998459168,
|
| 560 |
+
"grad_norm": 0.5972192883491516,
|
| 561 |
+
"learning_rate": 0.0002,
|
| 562 |
+
"loss": 1.0409,
|
| 563 |
+
"step": 780
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 1.2172573189522342,
|
| 567 |
+
"grad_norm": 0.7299932241439819,
|
| 568 |
+
"learning_rate": 0.0002,
|
| 569 |
+
"loss": 1.0837,
|
| 570 |
+
"step": 790
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 1.2326656394453004,
|
| 574 |
+
"grad_norm": 0.8376814126968384,
|
| 575 |
+
"learning_rate": 0.0002,
|
| 576 |
+
"loss": 1.1291,
|
| 577 |
+
"step": 800
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 1.2480739599383668,
|
| 581 |
+
"grad_norm": 1.117690086364746,
|
| 582 |
+
"learning_rate": 0.0002,
|
| 583 |
+
"loss": 1.0809,
|
| 584 |
+
"step": 810
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 1.263482280431433,
|
| 588 |
+
"grad_norm": 0.7850839495658875,
|
| 589 |
+
"learning_rate": 0.0002,
|
| 590 |
+
"loss": 1.0762,
|
| 591 |
+
"step": 820
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 1.2788906009244991,
|
| 595 |
+
"grad_norm": 0.7941734790802002,
|
| 596 |
+
"learning_rate": 0.0002,
|
| 597 |
+
"loss": 1.2278,
|
| 598 |
+
"step": 830
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 1.2942989214175655,
|
| 602 |
+
"grad_norm": 0.5682743787765503,
|
| 603 |
+
"learning_rate": 0.0002,
|
| 604 |
+
"loss": 0.9723,
|
| 605 |
+
"step": 840
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 1.3097072419106317,
|
| 609 |
+
"grad_norm": 0.7182576060295105,
|
| 610 |
+
"learning_rate": 0.0002,
|
| 611 |
+
"loss": 1.0262,
|
| 612 |
+
"step": 850
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 1.325115562403698,
|
| 616 |
+
"grad_norm": 0.7436819672584534,
|
| 617 |
+
"learning_rate": 0.0002,
|
| 618 |
+
"loss": 1.0801,
|
| 619 |
+
"step": 860
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 1.3405238828967643,
|
| 623 |
+
"grad_norm": 0.7665132880210876,
|
| 624 |
+
"learning_rate": 0.0002,
|
| 625 |
+
"loss": 1.0705,
|
| 626 |
+
"step": 870
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 1.3559322033898304,
|
| 630 |
+
"grad_norm": 1.060669183731079,
|
| 631 |
+
"learning_rate": 0.0002,
|
| 632 |
+
"loss": 1.1925,
|
| 633 |
+
"step": 880
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 1.3713405238828968,
|
| 637 |
+
"grad_norm": 0.6262772083282471,
|
| 638 |
+
"learning_rate": 0.0002,
|
| 639 |
+
"loss": 1.0581,
|
| 640 |
+
"step": 890
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 1.386748844375963,
|
| 644 |
+
"grad_norm": 1.010703682899475,
|
| 645 |
+
"learning_rate": 0.0002,
|
| 646 |
+
"loss": 1.0934,
|
| 647 |
+
"step": 900
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 1.4021571648690292,
|
| 651 |
+
"grad_norm": 0.5669811367988586,
|
| 652 |
+
"learning_rate": 0.0002,
|
| 653 |
+
"loss": 1.111,
|
| 654 |
+
"step": 910
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 1.4175654853620956,
|
| 658 |
+
"grad_norm": 0.8644649386405945,
|
| 659 |
+
"learning_rate": 0.0002,
|
| 660 |
+
"loss": 1.0638,
|
| 661 |
+
"step": 920
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 1.4329738058551618,
|
| 665 |
+
"grad_norm": 0.6250067949295044,
|
| 666 |
+
"learning_rate": 0.0002,
|
| 667 |
+
"loss": 1.1973,
|
| 668 |
+
"step": 930
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 1.448382126348228,
|
| 672 |
+
"grad_norm": 0.6507946848869324,
|
| 673 |
+
"learning_rate": 0.0002,
|
| 674 |
+
"loss": 1.0592,
|
| 675 |
+
"step": 940
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 1.4637904468412943,
|
| 679 |
+
"grad_norm": 0.9305022954940796,
|
| 680 |
+
"learning_rate": 0.0002,
|
| 681 |
+
"loss": 1.0306,
|
| 682 |
+
"step": 950
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 1.4791987673343605,
|
| 686 |
+
"grad_norm": 0.86021888256073,
|
| 687 |
+
"learning_rate": 0.0002,
|
| 688 |
+
"loss": 0.9792,
|
| 689 |
+
"step": 960
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 1.494607087827427,
|
| 693 |
+
"grad_norm": 1.1122219562530518,
|
| 694 |
+
"learning_rate": 0.0002,
|
| 695 |
+
"loss": 1.0656,
|
| 696 |
+
"step": 970
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 1.510015408320493,
|
| 700 |
+
"grad_norm": 0.7431066036224365,
|
| 701 |
+
"learning_rate": 0.0002,
|
| 702 |
+
"loss": 1.0745,
|
| 703 |
+
"step": 980
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 1.5254237288135593,
|
| 707 |
+
"grad_norm": 1.022744059562683,
|
| 708 |
+
"learning_rate": 0.0002,
|
| 709 |
+
"loss": 1.0822,
|
| 710 |
+
"step": 990
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 1.5408320493066254,
|
| 714 |
+
"grad_norm": 0.6638363599777222,
|
| 715 |
+
"learning_rate": 0.0002,
|
| 716 |
+
"loss": 1.0689,
|
| 717 |
+
"step": 1000
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 1.5562403697996918,
|
| 721 |
+
"grad_norm": 0.6290505528450012,
|
| 722 |
+
"learning_rate": 0.0002,
|
| 723 |
+
"loss": 1.1032,
|
| 724 |
+
"step": 1010
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 1.5716486902927582,
|
| 728 |
+
"grad_norm": 0.6446037888526917,
|
| 729 |
+
"learning_rate": 0.0002,
|
| 730 |
+
"loss": 1.0572,
|
| 731 |
+
"step": 1020
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 1.5870570107858244,
|
| 735 |
+
"grad_norm": 0.7383618354797363,
|
| 736 |
+
"learning_rate": 0.0002,
|
| 737 |
+
"loss": 1.0814,
|
| 738 |
+
"step": 1030
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 1.6024653312788906,
|
| 742 |
+
"grad_norm": 3.5893094539642334,
|
| 743 |
+
"learning_rate": 0.0002,
|
| 744 |
+
"loss": 1.0643,
|
| 745 |
+
"step": 1040
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 1.6178736517719567,
|
| 749 |
+
"grad_norm": 0.7388538718223572,
|
| 750 |
+
"learning_rate": 0.0002,
|
| 751 |
+
"loss": 0.9806,
|
| 752 |
+
"step": 1050
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 1.6332819722650231,
|
| 756 |
+
"grad_norm": 0.7813242077827454,
|
| 757 |
+
"learning_rate": 0.0002,
|
| 758 |
+
"loss": 1.1,
|
| 759 |
+
"step": 1060
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 1.6486902927580893,
|
| 763 |
+
"grad_norm": 0.6643418669700623,
|
| 764 |
+
"learning_rate": 0.0002,
|
| 765 |
+
"loss": 1.0463,
|
| 766 |
+
"step": 1070
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 1.6640986132511557,
|
| 770 |
+
"grad_norm": 0.7817712426185608,
|
| 771 |
+
"learning_rate": 0.0002,
|
| 772 |
+
"loss": 1.0344,
|
| 773 |
+
"step": 1080
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 1.6795069337442219,
|
| 777 |
+
"grad_norm": 0.8741177916526794,
|
| 778 |
+
"learning_rate": 0.0002,
|
| 779 |
+
"loss": 1.0447,
|
| 780 |
+
"step": 1090
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 1.694915254237288,
|
| 784 |
+
"grad_norm": 0.969813883304596,
|
| 785 |
+
"learning_rate": 0.0002,
|
| 786 |
+
"loss": 1.0724,
|
| 787 |
+
"step": 1100
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 1.7103235747303542,
|
| 791 |
+
"grad_norm": 0.7666333913803101,
|
| 792 |
+
"learning_rate": 0.0002,
|
| 793 |
+
"loss": 0.9887,
|
| 794 |
+
"step": 1110
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 1.7257318952234206,
|
| 798 |
+
"grad_norm": 0.789859414100647,
|
| 799 |
+
"learning_rate": 0.0002,
|
| 800 |
+
"loss": 0.9159,
|
| 801 |
+
"step": 1120
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 1.741140215716487,
|
| 805 |
+
"grad_norm": 0.7018347382545471,
|
| 806 |
+
"learning_rate": 0.0002,
|
| 807 |
+
"loss": 1.0679,
|
| 808 |
+
"step": 1130
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 1.7565485362095532,
|
| 812 |
+
"grad_norm": 0.8899882435798645,
|
| 813 |
+
"learning_rate": 0.0002,
|
| 814 |
+
"loss": 1.1429,
|
| 815 |
+
"step": 1140
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 1.7719568567026194,
|
| 819 |
+
"grad_norm": 0.7738426923751831,
|
| 820 |
+
"learning_rate": 0.0002,
|
| 821 |
+
"loss": 0.9214,
|
| 822 |
+
"step": 1150
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 1.7873651771956856,
|
| 826 |
+
"grad_norm": 1.032209873199463,
|
| 827 |
+
"learning_rate": 0.0002,
|
| 828 |
+
"loss": 1.0733,
|
| 829 |
+
"step": 1160
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 1.802773497688752,
|
| 833 |
+
"grad_norm": 0.7310711741447449,
|
| 834 |
+
"learning_rate": 0.0002,
|
| 835 |
+
"loss": 1.0522,
|
| 836 |
+
"step": 1170
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 1.8181818181818183,
|
| 840 |
+
"grad_norm": 0.8506733775138855,
|
| 841 |
+
"learning_rate": 0.0002,
|
| 842 |
+
"loss": 1.0943,
|
| 843 |
+
"step": 1180
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 1.8335901386748845,
|
| 847 |
+
"grad_norm": 116.00221252441406,
|
| 848 |
+
"learning_rate": 0.0002,
|
| 849 |
+
"loss": 1.1349,
|
| 850 |
+
"step": 1190
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 1.8489984591679507,
|
| 854 |
+
"grad_norm": 0.8819684982299805,
|
| 855 |
+
"learning_rate": 0.0002,
|
| 856 |
+
"loss": 1.0595,
|
| 857 |
+
"step": 1200
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 1.8644067796610169,
|
| 861 |
+
"grad_norm": 0.8846774697303772,
|
| 862 |
+
"learning_rate": 0.0002,
|
| 863 |
+
"loss": 0.995,
|
| 864 |
+
"step": 1210
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 1.879815100154083,
|
| 868 |
+
"grad_norm": 1.6417866945266724,
|
| 869 |
+
"learning_rate": 0.0002,
|
| 870 |
+
"loss": 1.116,
|
| 871 |
+
"step": 1220
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 1.8952234206471494,
|
| 875 |
+
"grad_norm": 1.1875122785568237,
|
| 876 |
+
"learning_rate": 0.0002,
|
| 877 |
+
"loss": 1.044,
|
| 878 |
+
"step": 1230
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 1.9106317411402158,
|
| 882 |
+
"grad_norm": 0.6520240306854248,
|
| 883 |
+
"learning_rate": 0.0002,
|
| 884 |
+
"loss": 1.0322,
|
| 885 |
+
"step": 1240
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 1.926040061633282,
|
| 889 |
+
"grad_norm": 0.9059738516807556,
|
| 890 |
+
"learning_rate": 0.0002,
|
| 891 |
+
"loss": 1.0175,
|
| 892 |
+
"step": 1250
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 1.9414483821263482,
|
| 896 |
+
"grad_norm": 0.7950983643531799,
|
| 897 |
+
"learning_rate": 0.0002,
|
| 898 |
+
"loss": 1.1097,
|
| 899 |
+
"step": 1260
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 1.9568567026194144,
|
| 903 |
+
"grad_norm": 0.6911653280258179,
|
| 904 |
+
"learning_rate": 0.0002,
|
| 905 |
+
"loss": 1.0313,
|
| 906 |
+
"step": 1270
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 1.9722650231124808,
|
| 910 |
+
"grad_norm": 0.9487978219985962,
|
| 911 |
+
"learning_rate": 0.0002,
|
| 912 |
+
"loss": 1.0762,
|
| 913 |
+
"step": 1280
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 1.9876733436055471,
|
| 917 |
+
"grad_norm": 0.716439425945282,
|
| 918 |
+
"learning_rate": 0.0002,
|
| 919 |
+
"loss": 1.1608,
|
| 920 |
+
"step": 1290
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 2.0,
|
| 924 |
+
"eval_loss": 1.215390682220459,
|
| 925 |
+
"eval_runtime": 120.3893,
|
| 926 |
+
"eval_samples_per_second": 3.788,
|
| 927 |
+
"eval_steps_per_second": 0.473,
|
| 928 |
+
"step": 1298
|
| 929 |
+
}
|
| 930 |
+
],
|
| 931 |
+
"logging_steps": 10,
|
| 932 |
+
"max_steps": 5192,
|
| 933 |
+
"num_input_tokens_seen": 0,
|
| 934 |
+
"num_train_epochs": 8,
|
| 935 |
+
"save_steps": 200,
|
| 936 |
+
"stateful_callbacks": {
|
| 937 |
+
"TrainerControl": {
|
| 938 |
+
"args": {
|
| 939 |
+
"should_epoch_stop": false,
|
| 940 |
+
"should_evaluate": false,
|
| 941 |
+
"should_log": false,
|
| 942 |
+
"should_save": true,
|
| 943 |
+
"should_training_stop": false
|
| 944 |
+
},
|
| 945 |
+
"attributes": {}
|
| 946 |
+
}
|
| 947 |
+
},
|
| 948 |
+
"total_flos": 5.69493952659456e+16,
|
| 949 |
+
"train_batch_size": 1,
|
| 950 |
+
"trial_name": null,
|
| 951 |
+
"trial_params": null
|
| 952 |
+
}
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1298/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7da6f114429a9a993fcd6ed877a996e6a07ac3f427895c4f50ec6990a9e85e69
|
| 3 |
+
size 5560
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1947/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.3
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.13.1
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1947/adapter_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 32,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 64,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"v_proj",
|
| 24 |
+
"q_proj"
|
| 25 |
+
],
|
| 26 |
+
"task_type": "CAUSAL_LM",
|
| 27 |
+
"use_dora": false,
|
| 28 |
+
"use_rslora": false
|
| 29 |
+
}
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1947/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ede62a76c14ef2734653f04a750f957a6502bcbd37a3e9a3def7b7feabd17df8
|
| 3 |
+
size 109069176
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1947/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:057d41dd8028c5a7d0a1e2154619d82b686b9ba9a88e1b7dec00d79eeb369fe8
|
| 3 |
+
size 55532666
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1947/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c004990006f909f350874d51b5b3526213b505cbff24cc2a360d1ec7328a44d7
|
| 3 |
+
size 14244
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1947/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:84c8aac6917b5c47a13dcb9e0693d6d51edc67202804dc7ba98b606799a8bfab
|
| 3 |
+
size 1064
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1947/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1947/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1947/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
| 3 |
+
size 587404
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1947/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1947/trainer_state.json
ADDED
|
@@ -0,0 +1,1415 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 1.212496042251587,
|
| 3 |
+
"best_model_checkpoint": "outputs-001/Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-649",
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 10,
|
| 6 |
+
"global_step": 1947,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.015408320493066256,
|
| 13 |
+
"grad_norm": 0.939333975315094,
|
| 14 |
+
"learning_rate": 0.0002,
|
| 15 |
+
"loss": 1.9609,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.030816640986132512,
|
| 20 |
+
"grad_norm": 0.9446700215339661,
|
| 21 |
+
"learning_rate": 0.0002,
|
| 22 |
+
"loss": 1.5975,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.046224961479198766,
|
| 27 |
+
"grad_norm": 0.7268466353416443,
|
| 28 |
+
"learning_rate": 0.0002,
|
| 29 |
+
"loss": 1.5196,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.061633281972265024,
|
| 34 |
+
"grad_norm": 0.8900066018104553,
|
| 35 |
+
"learning_rate": 0.0002,
|
| 36 |
+
"loss": 1.5021,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.07704160246533127,
|
| 41 |
+
"grad_norm": 4.246077060699463,
|
| 42 |
+
"learning_rate": 0.0002,
|
| 43 |
+
"loss": 1.4155,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.09244992295839753,
|
| 48 |
+
"grad_norm": 0.7887561321258545,
|
| 49 |
+
"learning_rate": 0.0002,
|
| 50 |
+
"loss": 1.4052,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.10785824345146379,
|
| 55 |
+
"grad_norm": 0.6822794675827026,
|
| 56 |
+
"learning_rate": 0.0002,
|
| 57 |
+
"loss": 1.215,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.12326656394453005,
|
| 62 |
+
"grad_norm": 0.8871720433235168,
|
| 63 |
+
"learning_rate": 0.0002,
|
| 64 |
+
"loss": 1.2524,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.1386748844375963,
|
| 69 |
+
"grad_norm": 0.6524078249931335,
|
| 70 |
+
"learning_rate": 0.0002,
|
| 71 |
+
"loss": 1.191,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.15408320493066255,
|
| 76 |
+
"grad_norm": 0.5519863367080688,
|
| 77 |
+
"learning_rate": 0.0002,
|
| 78 |
+
"loss": 1.2455,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.1694915254237288,
|
| 83 |
+
"grad_norm": 0.6716212630271912,
|
| 84 |
+
"learning_rate": 0.0002,
|
| 85 |
+
"loss": 1.2515,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.18489984591679506,
|
| 90 |
+
"grad_norm": 1.527921199798584,
|
| 91 |
+
"learning_rate": 0.0002,
|
| 92 |
+
"loss": 1.2239,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.20030816640986132,
|
| 97 |
+
"grad_norm": 0.6893861293792725,
|
| 98 |
+
"learning_rate": 0.0002,
|
| 99 |
+
"loss": 1.2887,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.21571648690292758,
|
| 104 |
+
"grad_norm": 0.5514246821403503,
|
| 105 |
+
"learning_rate": 0.0002,
|
| 106 |
+
"loss": 1.1722,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.23112480739599384,
|
| 111 |
+
"grad_norm": 0.5830065608024597,
|
| 112 |
+
"learning_rate": 0.0002,
|
| 113 |
+
"loss": 1.1946,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.2465331278890601,
|
| 118 |
+
"grad_norm": 0.7411216497421265,
|
| 119 |
+
"learning_rate": 0.0002,
|
| 120 |
+
"loss": 1.3105,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.26194144838212635,
|
| 125 |
+
"grad_norm": 0.7470705509185791,
|
| 126 |
+
"learning_rate": 0.0002,
|
| 127 |
+
"loss": 1.2008,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.2773497688751926,
|
| 132 |
+
"grad_norm": 0.6140725016593933,
|
| 133 |
+
"learning_rate": 0.0002,
|
| 134 |
+
"loss": 1.2497,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.29275808936825887,
|
| 139 |
+
"grad_norm": 0.7563071250915527,
|
| 140 |
+
"learning_rate": 0.0002,
|
| 141 |
+
"loss": 1.1514,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.3081664098613251,
|
| 146 |
+
"grad_norm": 0.5491266250610352,
|
| 147 |
+
"learning_rate": 0.0002,
|
| 148 |
+
"loss": 1.2703,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.3235747303543914,
|
| 153 |
+
"grad_norm": 0.5403220057487488,
|
| 154 |
+
"learning_rate": 0.0002,
|
| 155 |
+
"loss": 1.2168,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.3389830508474576,
|
| 160 |
+
"grad_norm": 0.9616869688034058,
|
| 161 |
+
"learning_rate": 0.0002,
|
| 162 |
+
"loss": 1.2409,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.3543913713405239,
|
| 167 |
+
"grad_norm": 0.5448639988899231,
|
| 168 |
+
"learning_rate": 0.0002,
|
| 169 |
+
"loss": 1.3112,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.3697996918335901,
|
| 174 |
+
"grad_norm": 0.6322043538093567,
|
| 175 |
+
"learning_rate": 0.0002,
|
| 176 |
+
"loss": 1.3023,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.3852080123266564,
|
| 181 |
+
"grad_norm": 0.5178093314170837,
|
| 182 |
+
"learning_rate": 0.0002,
|
| 183 |
+
"loss": 1.2382,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.40061633281972264,
|
| 188 |
+
"grad_norm": 0.6274669766426086,
|
| 189 |
+
"learning_rate": 0.0002,
|
| 190 |
+
"loss": 1.2755,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.41602465331278893,
|
| 195 |
+
"grad_norm": 1.1093109846115112,
|
| 196 |
+
"learning_rate": 0.0002,
|
| 197 |
+
"loss": 1.3263,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.43143297380585516,
|
| 202 |
+
"grad_norm": 1.8002032041549683,
|
| 203 |
+
"learning_rate": 0.0002,
|
| 204 |
+
"loss": 1.2201,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.44684129429892144,
|
| 209 |
+
"grad_norm": 0.5977614521980286,
|
| 210 |
+
"learning_rate": 0.0002,
|
| 211 |
+
"loss": 1.2335,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.4622496147919877,
|
| 216 |
+
"grad_norm": 0.5583769083023071,
|
| 217 |
+
"learning_rate": 0.0002,
|
| 218 |
+
"loss": 1.2076,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.4776579352850539,
|
| 223 |
+
"grad_norm": 0.5563502311706543,
|
| 224 |
+
"learning_rate": 0.0002,
|
| 225 |
+
"loss": 1.197,
|
| 226 |
+
"step": 310
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.4930662557781202,
|
| 230 |
+
"grad_norm": 0.9157887101173401,
|
| 231 |
+
"learning_rate": 0.0002,
|
| 232 |
+
"loss": 1.164,
|
| 233 |
+
"step": 320
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.5084745762711864,
|
| 237 |
+
"grad_norm": 0.551705539226532,
|
| 238 |
+
"learning_rate": 0.0002,
|
| 239 |
+
"loss": 1.1266,
|
| 240 |
+
"step": 330
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.5238828967642527,
|
| 244 |
+
"grad_norm": 9.011388778686523,
|
| 245 |
+
"learning_rate": 0.0002,
|
| 246 |
+
"loss": 1.2801,
|
| 247 |
+
"step": 340
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.539291217257319,
|
| 251 |
+
"grad_norm": 0.6527810096740723,
|
| 252 |
+
"learning_rate": 0.0002,
|
| 253 |
+
"loss": 1.2024,
|
| 254 |
+
"step": 350
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.5546995377503852,
|
| 258 |
+
"grad_norm": 1.3121646642684937,
|
| 259 |
+
"learning_rate": 0.0002,
|
| 260 |
+
"loss": 1.1424,
|
| 261 |
+
"step": 360
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.5701078582434514,
|
| 265 |
+
"grad_norm": 0.7247968316078186,
|
| 266 |
+
"learning_rate": 0.0002,
|
| 267 |
+
"loss": 1.2555,
|
| 268 |
+
"step": 370
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.5855161787365177,
|
| 272 |
+
"grad_norm": 0.5430527925491333,
|
| 273 |
+
"learning_rate": 0.0002,
|
| 274 |
+
"loss": 1.196,
|
| 275 |
+
"step": 380
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.600924499229584,
|
| 279 |
+
"grad_norm": 0.6050328612327576,
|
| 280 |
+
"learning_rate": 0.0002,
|
| 281 |
+
"loss": 1.1822,
|
| 282 |
+
"step": 390
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.6163328197226502,
|
| 286 |
+
"grad_norm": 0.49382615089416504,
|
| 287 |
+
"learning_rate": 0.0002,
|
| 288 |
+
"loss": 1.2754,
|
| 289 |
+
"step": 400
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.6317411402157165,
|
| 293 |
+
"grad_norm": 0.5804041624069214,
|
| 294 |
+
"learning_rate": 0.0002,
|
| 295 |
+
"loss": 1.2595,
|
| 296 |
+
"step": 410
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.6471494607087828,
|
| 300 |
+
"grad_norm": 0.524357259273529,
|
| 301 |
+
"learning_rate": 0.0002,
|
| 302 |
+
"loss": 1.2926,
|
| 303 |
+
"step": 420
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.662557781201849,
|
| 307 |
+
"grad_norm": 1.8817486763000488,
|
| 308 |
+
"learning_rate": 0.0002,
|
| 309 |
+
"loss": 1.1928,
|
| 310 |
+
"step": 430
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.6779661016949152,
|
| 314 |
+
"grad_norm": 0.6104950308799744,
|
| 315 |
+
"learning_rate": 0.0002,
|
| 316 |
+
"loss": 1.2103,
|
| 317 |
+
"step": 440
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.6933744221879815,
|
| 321 |
+
"grad_norm": 0.631179928779602,
|
| 322 |
+
"learning_rate": 0.0002,
|
| 323 |
+
"loss": 1.2296,
|
| 324 |
+
"step": 450
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.7087827426810478,
|
| 328 |
+
"grad_norm": 0.6562483310699463,
|
| 329 |
+
"learning_rate": 0.0002,
|
| 330 |
+
"loss": 1.1843,
|
| 331 |
+
"step": 460
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.724191063174114,
|
| 335 |
+
"grad_norm": 0.578336775302887,
|
| 336 |
+
"learning_rate": 0.0002,
|
| 337 |
+
"loss": 1.2424,
|
| 338 |
+
"step": 470
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.7395993836671803,
|
| 342 |
+
"grad_norm": 0.8468874096870422,
|
| 343 |
+
"learning_rate": 0.0002,
|
| 344 |
+
"loss": 1.192,
|
| 345 |
+
"step": 480
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.7550077041602465,
|
| 349 |
+
"grad_norm": 0.7162539958953857,
|
| 350 |
+
"learning_rate": 0.0002,
|
| 351 |
+
"loss": 1.2913,
|
| 352 |
+
"step": 490
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.7704160246533128,
|
| 356 |
+
"grad_norm": 0.7655543684959412,
|
| 357 |
+
"learning_rate": 0.0002,
|
| 358 |
+
"loss": 1.2158,
|
| 359 |
+
"step": 500
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.785824345146379,
|
| 363 |
+
"grad_norm": 0.5711562037467957,
|
| 364 |
+
"learning_rate": 0.0002,
|
| 365 |
+
"loss": 1.2637,
|
| 366 |
+
"step": 510
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.8012326656394453,
|
| 370 |
+
"grad_norm": 0.7273485660552979,
|
| 371 |
+
"learning_rate": 0.0002,
|
| 372 |
+
"loss": 1.1277,
|
| 373 |
+
"step": 520
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.8166409861325116,
|
| 377 |
+
"grad_norm": 0.47050145268440247,
|
| 378 |
+
"learning_rate": 0.0002,
|
| 379 |
+
"loss": 1.188,
|
| 380 |
+
"step": 530
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.8320493066255779,
|
| 384 |
+
"grad_norm": 0.4930959939956665,
|
| 385 |
+
"learning_rate": 0.0002,
|
| 386 |
+
"loss": 1.1462,
|
| 387 |
+
"step": 540
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.847457627118644,
|
| 391 |
+
"grad_norm": 0.553955614566803,
|
| 392 |
+
"learning_rate": 0.0002,
|
| 393 |
+
"loss": 1.167,
|
| 394 |
+
"step": 550
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.8628659476117103,
|
| 398 |
+
"grad_norm": 0.6495056748390198,
|
| 399 |
+
"learning_rate": 0.0002,
|
| 400 |
+
"loss": 1.1831,
|
| 401 |
+
"step": 560
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.8782742681047766,
|
| 405 |
+
"grad_norm": 0.4586578905582428,
|
| 406 |
+
"learning_rate": 0.0002,
|
| 407 |
+
"loss": 1.0984,
|
| 408 |
+
"step": 570
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.8936825885978429,
|
| 412 |
+
"grad_norm": 0.4870392680168152,
|
| 413 |
+
"learning_rate": 0.0002,
|
| 414 |
+
"loss": 1.2415,
|
| 415 |
+
"step": 580
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.9090909090909091,
|
| 419 |
+
"grad_norm": 0.6337013244628906,
|
| 420 |
+
"learning_rate": 0.0002,
|
| 421 |
+
"loss": 1.1735,
|
| 422 |
+
"step": 590
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.9244992295839753,
|
| 426 |
+
"grad_norm": 0.7260186672210693,
|
| 427 |
+
"learning_rate": 0.0002,
|
| 428 |
+
"loss": 1.1781,
|
| 429 |
+
"step": 600
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.9399075500770416,
|
| 433 |
+
"grad_norm": 1.4133737087249756,
|
| 434 |
+
"learning_rate": 0.0002,
|
| 435 |
+
"loss": 1.2536,
|
| 436 |
+
"step": 610
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.9553158705701078,
|
| 440 |
+
"grad_norm": 0.573525071144104,
|
| 441 |
+
"learning_rate": 0.0002,
|
| 442 |
+
"loss": 1.2211,
|
| 443 |
+
"step": 620
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.9707241910631741,
|
| 447 |
+
"grad_norm": 0.8403644561767578,
|
| 448 |
+
"learning_rate": 0.0002,
|
| 449 |
+
"loss": 1.11,
|
| 450 |
+
"step": 630
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.9861325115562404,
|
| 454 |
+
"grad_norm": 0.7665438055992126,
|
| 455 |
+
"learning_rate": 0.0002,
|
| 456 |
+
"loss": 1.2932,
|
| 457 |
+
"step": 640
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 1.0,
|
| 461 |
+
"eval_loss": 1.212496042251587,
|
| 462 |
+
"eval_runtime": 120.3264,
|
| 463 |
+
"eval_samples_per_second": 3.79,
|
| 464 |
+
"eval_steps_per_second": 0.474,
|
| 465 |
+
"step": 649
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 1.0015408320493067,
|
| 469 |
+
"grad_norm": 0.6874801516532898,
|
| 470 |
+
"learning_rate": 0.0002,
|
| 471 |
+
"loss": 1.176,
|
| 472 |
+
"step": 650
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 1.0169491525423728,
|
| 476 |
+
"grad_norm": 0.6675221920013428,
|
| 477 |
+
"learning_rate": 0.0002,
|
| 478 |
+
"loss": 1.0957,
|
| 479 |
+
"step": 660
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 1.0323574730354392,
|
| 483 |
+
"grad_norm": 0.6837265491485596,
|
| 484 |
+
"learning_rate": 0.0002,
|
| 485 |
+
"loss": 1.1616,
|
| 486 |
+
"step": 670
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 1.0477657935285054,
|
| 490 |
+
"grad_norm": 0.6796931028366089,
|
| 491 |
+
"learning_rate": 0.0002,
|
| 492 |
+
"loss": 1.045,
|
| 493 |
+
"step": 680
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 1.0631741140215716,
|
| 497 |
+
"grad_norm": 0.6596675515174866,
|
| 498 |
+
"learning_rate": 0.0002,
|
| 499 |
+
"loss": 1.0889,
|
| 500 |
+
"step": 690
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 1.078582434514638,
|
| 504 |
+
"grad_norm": 0.6630653142929077,
|
| 505 |
+
"learning_rate": 0.0002,
|
| 506 |
+
"loss": 1.067,
|
| 507 |
+
"step": 700
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 1.0939907550077042,
|
| 511 |
+
"grad_norm": 0.7065498232841492,
|
| 512 |
+
"learning_rate": 0.0002,
|
| 513 |
+
"loss": 1.0222,
|
| 514 |
+
"step": 710
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 1.1093990755007703,
|
| 518 |
+
"grad_norm": 0.694682240486145,
|
| 519 |
+
"learning_rate": 0.0002,
|
| 520 |
+
"loss": 1.081,
|
| 521 |
+
"step": 720
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 1.1248073959938367,
|
| 525 |
+
"grad_norm": 0.8984217047691345,
|
| 526 |
+
"learning_rate": 0.0002,
|
| 527 |
+
"loss": 1.1019,
|
| 528 |
+
"step": 730
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 1.140215716486903,
|
| 532 |
+
"grad_norm": 1.0035051107406616,
|
| 533 |
+
"learning_rate": 0.0002,
|
| 534 |
+
"loss": 1.0506,
|
| 535 |
+
"step": 740
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 1.1556240369799693,
|
| 539 |
+
"grad_norm": 0.8646948933601379,
|
| 540 |
+
"learning_rate": 0.0002,
|
| 541 |
+
"loss": 1.0502,
|
| 542 |
+
"step": 750
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 1.1710323574730355,
|
| 546 |
+
"grad_norm": 0.6287558674812317,
|
| 547 |
+
"learning_rate": 0.0002,
|
| 548 |
+
"loss": 1.0256,
|
| 549 |
+
"step": 760
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 1.1864406779661016,
|
| 553 |
+
"grad_norm": 0.6975560784339905,
|
| 554 |
+
"learning_rate": 0.0002,
|
| 555 |
+
"loss": 1.051,
|
| 556 |
+
"step": 770
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 1.201848998459168,
|
| 560 |
+
"grad_norm": 0.5972192883491516,
|
| 561 |
+
"learning_rate": 0.0002,
|
| 562 |
+
"loss": 1.0409,
|
| 563 |
+
"step": 780
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 1.2172573189522342,
|
| 567 |
+
"grad_norm": 0.7299932241439819,
|
| 568 |
+
"learning_rate": 0.0002,
|
| 569 |
+
"loss": 1.0837,
|
| 570 |
+
"step": 790
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 1.2326656394453004,
|
| 574 |
+
"grad_norm": 0.8376814126968384,
|
| 575 |
+
"learning_rate": 0.0002,
|
| 576 |
+
"loss": 1.1291,
|
| 577 |
+
"step": 800
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 1.2480739599383668,
|
| 581 |
+
"grad_norm": 1.117690086364746,
|
| 582 |
+
"learning_rate": 0.0002,
|
| 583 |
+
"loss": 1.0809,
|
| 584 |
+
"step": 810
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 1.263482280431433,
|
| 588 |
+
"grad_norm": 0.7850839495658875,
|
| 589 |
+
"learning_rate": 0.0002,
|
| 590 |
+
"loss": 1.0762,
|
| 591 |
+
"step": 820
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 1.2788906009244991,
|
| 595 |
+
"grad_norm": 0.7941734790802002,
|
| 596 |
+
"learning_rate": 0.0002,
|
| 597 |
+
"loss": 1.2278,
|
| 598 |
+
"step": 830
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 1.2942989214175655,
|
| 602 |
+
"grad_norm": 0.5682743787765503,
|
| 603 |
+
"learning_rate": 0.0002,
|
| 604 |
+
"loss": 0.9723,
|
| 605 |
+
"step": 840
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 1.3097072419106317,
|
| 609 |
+
"grad_norm": 0.7182576060295105,
|
| 610 |
+
"learning_rate": 0.0002,
|
| 611 |
+
"loss": 1.0262,
|
| 612 |
+
"step": 850
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 1.325115562403698,
|
| 616 |
+
"grad_norm": 0.7436819672584534,
|
| 617 |
+
"learning_rate": 0.0002,
|
| 618 |
+
"loss": 1.0801,
|
| 619 |
+
"step": 860
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 1.3405238828967643,
|
| 623 |
+
"grad_norm": 0.7665132880210876,
|
| 624 |
+
"learning_rate": 0.0002,
|
| 625 |
+
"loss": 1.0705,
|
| 626 |
+
"step": 870
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 1.3559322033898304,
|
| 630 |
+
"grad_norm": 1.060669183731079,
|
| 631 |
+
"learning_rate": 0.0002,
|
| 632 |
+
"loss": 1.1925,
|
| 633 |
+
"step": 880
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 1.3713405238828968,
|
| 637 |
+
"grad_norm": 0.6262772083282471,
|
| 638 |
+
"learning_rate": 0.0002,
|
| 639 |
+
"loss": 1.0581,
|
| 640 |
+
"step": 890
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 1.386748844375963,
|
| 644 |
+
"grad_norm": 1.010703682899475,
|
| 645 |
+
"learning_rate": 0.0002,
|
| 646 |
+
"loss": 1.0934,
|
| 647 |
+
"step": 900
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 1.4021571648690292,
|
| 651 |
+
"grad_norm": 0.5669811367988586,
|
| 652 |
+
"learning_rate": 0.0002,
|
| 653 |
+
"loss": 1.111,
|
| 654 |
+
"step": 910
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 1.4175654853620956,
|
| 658 |
+
"grad_norm": 0.8644649386405945,
|
| 659 |
+
"learning_rate": 0.0002,
|
| 660 |
+
"loss": 1.0638,
|
| 661 |
+
"step": 920
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 1.4329738058551618,
|
| 665 |
+
"grad_norm": 0.6250067949295044,
|
| 666 |
+
"learning_rate": 0.0002,
|
| 667 |
+
"loss": 1.1973,
|
| 668 |
+
"step": 930
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 1.448382126348228,
|
| 672 |
+
"grad_norm": 0.6507946848869324,
|
| 673 |
+
"learning_rate": 0.0002,
|
| 674 |
+
"loss": 1.0592,
|
| 675 |
+
"step": 940
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 1.4637904468412943,
|
| 679 |
+
"grad_norm": 0.9305022954940796,
|
| 680 |
+
"learning_rate": 0.0002,
|
| 681 |
+
"loss": 1.0306,
|
| 682 |
+
"step": 950
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 1.4791987673343605,
|
| 686 |
+
"grad_norm": 0.86021888256073,
|
| 687 |
+
"learning_rate": 0.0002,
|
| 688 |
+
"loss": 0.9792,
|
| 689 |
+
"step": 960
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 1.494607087827427,
|
| 693 |
+
"grad_norm": 1.1122219562530518,
|
| 694 |
+
"learning_rate": 0.0002,
|
| 695 |
+
"loss": 1.0656,
|
| 696 |
+
"step": 970
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 1.510015408320493,
|
| 700 |
+
"grad_norm": 0.7431066036224365,
|
| 701 |
+
"learning_rate": 0.0002,
|
| 702 |
+
"loss": 1.0745,
|
| 703 |
+
"step": 980
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 1.5254237288135593,
|
| 707 |
+
"grad_norm": 1.022744059562683,
|
| 708 |
+
"learning_rate": 0.0002,
|
| 709 |
+
"loss": 1.0822,
|
| 710 |
+
"step": 990
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 1.5408320493066254,
|
| 714 |
+
"grad_norm": 0.6638363599777222,
|
| 715 |
+
"learning_rate": 0.0002,
|
| 716 |
+
"loss": 1.0689,
|
| 717 |
+
"step": 1000
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 1.5562403697996918,
|
| 721 |
+
"grad_norm": 0.6290505528450012,
|
| 722 |
+
"learning_rate": 0.0002,
|
| 723 |
+
"loss": 1.1032,
|
| 724 |
+
"step": 1010
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 1.5716486902927582,
|
| 728 |
+
"grad_norm": 0.6446037888526917,
|
| 729 |
+
"learning_rate": 0.0002,
|
| 730 |
+
"loss": 1.0572,
|
| 731 |
+
"step": 1020
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 1.5870570107858244,
|
| 735 |
+
"grad_norm": 0.7383618354797363,
|
| 736 |
+
"learning_rate": 0.0002,
|
| 737 |
+
"loss": 1.0814,
|
| 738 |
+
"step": 1030
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 1.6024653312788906,
|
| 742 |
+
"grad_norm": 3.5893094539642334,
|
| 743 |
+
"learning_rate": 0.0002,
|
| 744 |
+
"loss": 1.0643,
|
| 745 |
+
"step": 1040
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 1.6178736517719567,
|
| 749 |
+
"grad_norm": 0.7388538718223572,
|
| 750 |
+
"learning_rate": 0.0002,
|
| 751 |
+
"loss": 0.9806,
|
| 752 |
+
"step": 1050
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 1.6332819722650231,
|
| 756 |
+
"grad_norm": 0.7813242077827454,
|
| 757 |
+
"learning_rate": 0.0002,
|
| 758 |
+
"loss": 1.1,
|
| 759 |
+
"step": 1060
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 1.6486902927580893,
|
| 763 |
+
"grad_norm": 0.6643418669700623,
|
| 764 |
+
"learning_rate": 0.0002,
|
| 765 |
+
"loss": 1.0463,
|
| 766 |
+
"step": 1070
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 1.6640986132511557,
|
| 770 |
+
"grad_norm": 0.7817712426185608,
|
| 771 |
+
"learning_rate": 0.0002,
|
| 772 |
+
"loss": 1.0344,
|
| 773 |
+
"step": 1080
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 1.6795069337442219,
|
| 777 |
+
"grad_norm": 0.8741177916526794,
|
| 778 |
+
"learning_rate": 0.0002,
|
| 779 |
+
"loss": 1.0447,
|
| 780 |
+
"step": 1090
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 1.694915254237288,
|
| 784 |
+
"grad_norm": 0.969813883304596,
|
| 785 |
+
"learning_rate": 0.0002,
|
| 786 |
+
"loss": 1.0724,
|
| 787 |
+
"step": 1100
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 1.7103235747303542,
|
| 791 |
+
"grad_norm": 0.7666333913803101,
|
| 792 |
+
"learning_rate": 0.0002,
|
| 793 |
+
"loss": 0.9887,
|
| 794 |
+
"step": 1110
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 1.7257318952234206,
|
| 798 |
+
"grad_norm": 0.789859414100647,
|
| 799 |
+
"learning_rate": 0.0002,
|
| 800 |
+
"loss": 0.9159,
|
| 801 |
+
"step": 1120
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 1.741140215716487,
|
| 805 |
+
"grad_norm": 0.7018347382545471,
|
| 806 |
+
"learning_rate": 0.0002,
|
| 807 |
+
"loss": 1.0679,
|
| 808 |
+
"step": 1130
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 1.7565485362095532,
|
| 812 |
+
"grad_norm": 0.8899882435798645,
|
| 813 |
+
"learning_rate": 0.0002,
|
| 814 |
+
"loss": 1.1429,
|
| 815 |
+
"step": 1140
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 1.7719568567026194,
|
| 819 |
+
"grad_norm": 0.7738426923751831,
|
| 820 |
+
"learning_rate": 0.0002,
|
| 821 |
+
"loss": 0.9214,
|
| 822 |
+
"step": 1150
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 1.7873651771956856,
|
| 826 |
+
"grad_norm": 1.032209873199463,
|
| 827 |
+
"learning_rate": 0.0002,
|
| 828 |
+
"loss": 1.0733,
|
| 829 |
+
"step": 1160
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 1.802773497688752,
|
| 833 |
+
"grad_norm": 0.7310711741447449,
|
| 834 |
+
"learning_rate": 0.0002,
|
| 835 |
+
"loss": 1.0522,
|
| 836 |
+
"step": 1170
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 1.8181818181818183,
|
| 840 |
+
"grad_norm": 0.8506733775138855,
|
| 841 |
+
"learning_rate": 0.0002,
|
| 842 |
+
"loss": 1.0943,
|
| 843 |
+
"step": 1180
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 1.8335901386748845,
|
| 847 |
+
"grad_norm": 116.00221252441406,
|
| 848 |
+
"learning_rate": 0.0002,
|
| 849 |
+
"loss": 1.1349,
|
| 850 |
+
"step": 1190
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 1.8489984591679507,
|
| 854 |
+
"grad_norm": 0.8819684982299805,
|
| 855 |
+
"learning_rate": 0.0002,
|
| 856 |
+
"loss": 1.0595,
|
| 857 |
+
"step": 1200
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 1.8644067796610169,
|
| 861 |
+
"grad_norm": 0.8846774697303772,
|
| 862 |
+
"learning_rate": 0.0002,
|
| 863 |
+
"loss": 0.995,
|
| 864 |
+
"step": 1210
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 1.879815100154083,
|
| 868 |
+
"grad_norm": 1.6417866945266724,
|
| 869 |
+
"learning_rate": 0.0002,
|
| 870 |
+
"loss": 1.116,
|
| 871 |
+
"step": 1220
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 1.8952234206471494,
|
| 875 |
+
"grad_norm": 1.1875122785568237,
|
| 876 |
+
"learning_rate": 0.0002,
|
| 877 |
+
"loss": 1.044,
|
| 878 |
+
"step": 1230
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 1.9106317411402158,
|
| 882 |
+
"grad_norm": 0.6520240306854248,
|
| 883 |
+
"learning_rate": 0.0002,
|
| 884 |
+
"loss": 1.0322,
|
| 885 |
+
"step": 1240
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 1.926040061633282,
|
| 889 |
+
"grad_norm": 0.9059738516807556,
|
| 890 |
+
"learning_rate": 0.0002,
|
| 891 |
+
"loss": 1.0175,
|
| 892 |
+
"step": 1250
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 1.9414483821263482,
|
| 896 |
+
"grad_norm": 0.7950983643531799,
|
| 897 |
+
"learning_rate": 0.0002,
|
| 898 |
+
"loss": 1.1097,
|
| 899 |
+
"step": 1260
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 1.9568567026194144,
|
| 903 |
+
"grad_norm": 0.6911653280258179,
|
| 904 |
+
"learning_rate": 0.0002,
|
| 905 |
+
"loss": 1.0313,
|
| 906 |
+
"step": 1270
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 1.9722650231124808,
|
| 910 |
+
"grad_norm": 0.9487978219985962,
|
| 911 |
+
"learning_rate": 0.0002,
|
| 912 |
+
"loss": 1.0762,
|
| 913 |
+
"step": 1280
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 1.9876733436055471,
|
| 917 |
+
"grad_norm": 0.716439425945282,
|
| 918 |
+
"learning_rate": 0.0002,
|
| 919 |
+
"loss": 1.1608,
|
| 920 |
+
"step": 1290
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 2.0,
|
| 924 |
+
"eval_loss": 1.215390682220459,
|
| 925 |
+
"eval_runtime": 120.3893,
|
| 926 |
+
"eval_samples_per_second": 3.788,
|
| 927 |
+
"eval_steps_per_second": 0.473,
|
| 928 |
+
"step": 1298
|
| 929 |
+
},
|
| 930 |
+
{
|
| 931 |
+
"epoch": 2.0030816640986133,
|
| 932 |
+
"grad_norm": 0.7292942404747009,
|
| 933 |
+
"learning_rate": 0.0002,
|
| 934 |
+
"loss": 1.0205,
|
| 935 |
+
"step": 1300
|
| 936 |
+
},
|
| 937 |
+
{
|
| 938 |
+
"epoch": 2.0184899845916795,
|
| 939 |
+
"grad_norm": 0.8386905789375305,
|
| 940 |
+
"learning_rate": 0.0002,
|
| 941 |
+
"loss": 0.8264,
|
| 942 |
+
"step": 1310
|
| 943 |
+
},
|
| 944 |
+
{
|
| 945 |
+
"epoch": 2.0338983050847457,
|
| 946 |
+
"grad_norm": 1.114105224609375,
|
| 947 |
+
"learning_rate": 0.0002,
|
| 948 |
+
"loss": 0.7925,
|
| 949 |
+
"step": 1320
|
| 950 |
+
},
|
| 951 |
+
{
|
| 952 |
+
"epoch": 2.049306625577812,
|
| 953 |
+
"grad_norm": 1.068211317062378,
|
| 954 |
+
"learning_rate": 0.0002,
|
| 955 |
+
"loss": 0.8673,
|
| 956 |
+
"step": 1330
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 2.0647149460708785,
|
| 960 |
+
"grad_norm": 0.8620569109916687,
|
| 961 |
+
"learning_rate": 0.0002,
|
| 962 |
+
"loss": 0.8883,
|
| 963 |
+
"step": 1340
|
| 964 |
+
},
|
| 965 |
+
{
|
| 966 |
+
"epoch": 2.0801232665639446,
|
| 967 |
+
"grad_norm": 0.8984315991401672,
|
| 968 |
+
"learning_rate": 0.0002,
|
| 969 |
+
"loss": 0.8949,
|
| 970 |
+
"step": 1350
|
| 971 |
+
},
|
| 972 |
+
{
|
| 973 |
+
"epoch": 2.095531587057011,
|
| 974 |
+
"grad_norm": 1.0469365119934082,
|
| 975 |
+
"learning_rate": 0.0002,
|
| 976 |
+
"loss": 0.8992,
|
| 977 |
+
"step": 1360
|
| 978 |
+
},
|
| 979 |
+
{
|
| 980 |
+
"epoch": 2.110939907550077,
|
| 981 |
+
"grad_norm": 0.9392943978309631,
|
| 982 |
+
"learning_rate": 0.0002,
|
| 983 |
+
"loss": 0.8053,
|
| 984 |
+
"step": 1370
|
| 985 |
+
},
|
| 986 |
+
{
|
| 987 |
+
"epoch": 2.126348228043143,
|
| 988 |
+
"grad_norm": 1.2067331075668335,
|
| 989 |
+
"learning_rate": 0.0002,
|
| 990 |
+
"loss": 0.8791,
|
| 991 |
+
"step": 1380
|
| 992 |
+
},
|
| 993 |
+
{
|
| 994 |
+
"epoch": 2.1417565485362093,
|
| 995 |
+
"grad_norm": 0.8019351363182068,
|
| 996 |
+
"learning_rate": 0.0002,
|
| 997 |
+
"loss": 0.7925,
|
| 998 |
+
"step": 1390
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 2.157164869029276,
|
| 1002 |
+
"grad_norm": 0.9445130228996277,
|
| 1003 |
+
"learning_rate": 0.0002,
|
| 1004 |
+
"loss": 0.8669,
|
| 1005 |
+
"step": 1400
|
| 1006 |
+
},
|
| 1007 |
+
{
|
| 1008 |
+
"epoch": 2.172573189522342,
|
| 1009 |
+
"grad_norm": 0.9806232452392578,
|
| 1010 |
+
"learning_rate": 0.0002,
|
| 1011 |
+
"loss": 0.8293,
|
| 1012 |
+
"step": 1410
|
| 1013 |
+
},
|
| 1014 |
+
{
|
| 1015 |
+
"epoch": 2.1879815100154083,
|
| 1016 |
+
"grad_norm": 1.2135679721832275,
|
| 1017 |
+
"learning_rate": 0.0002,
|
| 1018 |
+
"loss": 0.8499,
|
| 1019 |
+
"step": 1420
|
| 1020 |
+
},
|
| 1021 |
+
{
|
| 1022 |
+
"epoch": 2.2033898305084745,
|
| 1023 |
+
"grad_norm": 1.1036803722381592,
|
| 1024 |
+
"learning_rate": 0.0002,
|
| 1025 |
+
"loss": 0.8908,
|
| 1026 |
+
"step": 1430
|
| 1027 |
+
},
|
| 1028 |
+
{
|
| 1029 |
+
"epoch": 2.2187981510015407,
|
| 1030 |
+
"grad_norm": 0.9235773086547852,
|
| 1031 |
+
"learning_rate": 0.0002,
|
| 1032 |
+
"loss": 0.9725,
|
| 1033 |
+
"step": 1440
|
| 1034 |
+
},
|
| 1035 |
+
{
|
| 1036 |
+
"epoch": 2.2342064714946073,
|
| 1037 |
+
"grad_norm": 1.0520254373550415,
|
| 1038 |
+
"learning_rate": 0.0002,
|
| 1039 |
+
"loss": 0.8176,
|
| 1040 |
+
"step": 1450
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 2.2496147919876734,
|
| 1044 |
+
"grad_norm": 1.0121252536773682,
|
| 1045 |
+
"learning_rate": 0.0002,
|
| 1046 |
+
"loss": 0.9138,
|
| 1047 |
+
"step": 1460
|
| 1048 |
+
},
|
| 1049 |
+
{
|
| 1050 |
+
"epoch": 2.2650231124807396,
|
| 1051 |
+
"grad_norm": 1.0718834400177002,
|
| 1052 |
+
"learning_rate": 0.0002,
|
| 1053 |
+
"loss": 0.8722,
|
| 1054 |
+
"step": 1470
|
| 1055 |
+
},
|
| 1056 |
+
{
|
| 1057 |
+
"epoch": 2.280431432973806,
|
| 1058 |
+
"grad_norm": 1.1842551231384277,
|
| 1059 |
+
"learning_rate": 0.0002,
|
| 1060 |
+
"loss": 0.8295,
|
| 1061 |
+
"step": 1480
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 2.295839753466872,
|
| 1065 |
+
"grad_norm": 1.2985937595367432,
|
| 1066 |
+
"learning_rate": 0.0002,
|
| 1067 |
+
"loss": 0.8706,
|
| 1068 |
+
"step": 1490
|
| 1069 |
+
},
|
| 1070 |
+
{
|
| 1071 |
+
"epoch": 2.3112480739599386,
|
| 1072 |
+
"grad_norm": 2.0254523754119873,
|
| 1073 |
+
"learning_rate": 0.0002,
|
| 1074 |
+
"loss": 0.873,
|
| 1075 |
+
"step": 1500
|
| 1076 |
+
},
|
| 1077 |
+
{
|
| 1078 |
+
"epoch": 2.3266563944530048,
|
| 1079 |
+
"grad_norm": 1.1501885652542114,
|
| 1080 |
+
"learning_rate": 0.0002,
|
| 1081 |
+
"loss": 0.8569,
|
| 1082 |
+
"step": 1510
|
| 1083 |
+
},
|
| 1084 |
+
{
|
| 1085 |
+
"epoch": 2.342064714946071,
|
| 1086 |
+
"grad_norm": 1.1277996301651,
|
| 1087 |
+
"learning_rate": 0.0002,
|
| 1088 |
+
"loss": 0.9394,
|
| 1089 |
+
"step": 1520
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"epoch": 2.357473035439137,
|
| 1093 |
+
"grad_norm": 0.9330579042434692,
|
| 1094 |
+
"learning_rate": 0.0002,
|
| 1095 |
+
"loss": 0.8856,
|
| 1096 |
+
"step": 1530
|
| 1097 |
+
},
|
| 1098 |
+
{
|
| 1099 |
+
"epoch": 2.3728813559322033,
|
| 1100 |
+
"grad_norm": 1.3631645441055298,
|
| 1101 |
+
"learning_rate": 0.0002,
|
| 1102 |
+
"loss": 0.8679,
|
| 1103 |
+
"step": 1540
|
| 1104 |
+
},
|
| 1105 |
+
{
|
| 1106 |
+
"epoch": 2.3882896764252695,
|
| 1107 |
+
"grad_norm": 1.070383071899414,
|
| 1108 |
+
"learning_rate": 0.0002,
|
| 1109 |
+
"loss": 0.8644,
|
| 1110 |
+
"step": 1550
|
| 1111 |
+
},
|
| 1112 |
+
{
|
| 1113 |
+
"epoch": 2.403697996918336,
|
| 1114 |
+
"grad_norm": 1.5154823064804077,
|
| 1115 |
+
"learning_rate": 0.0002,
|
| 1116 |
+
"loss": 0.9235,
|
| 1117 |
+
"step": 1560
|
| 1118 |
+
},
|
| 1119 |
+
{
|
| 1120 |
+
"epoch": 2.4191063174114023,
|
| 1121 |
+
"grad_norm": 0.8797892332077026,
|
| 1122 |
+
"learning_rate": 0.0002,
|
| 1123 |
+
"loss": 0.9778,
|
| 1124 |
+
"step": 1570
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 2.4345146379044684,
|
| 1128 |
+
"grad_norm": 1.0940500497817993,
|
| 1129 |
+
"learning_rate": 0.0002,
|
| 1130 |
+
"loss": 0.8952,
|
| 1131 |
+
"step": 1580
|
| 1132 |
+
},
|
| 1133 |
+
{
|
| 1134 |
+
"epoch": 2.4499229583975346,
|
| 1135 |
+
"grad_norm": 1.6111960411071777,
|
| 1136 |
+
"learning_rate": 0.0002,
|
| 1137 |
+
"loss": 0.9352,
|
| 1138 |
+
"step": 1590
|
| 1139 |
+
},
|
| 1140 |
+
{
|
| 1141 |
+
"epoch": 2.4653312788906008,
|
| 1142 |
+
"grad_norm": 0.9618533849716187,
|
| 1143 |
+
"learning_rate": 0.0002,
|
| 1144 |
+
"loss": 0.8462,
|
| 1145 |
+
"step": 1600
|
| 1146 |
+
},
|
| 1147 |
+
{
|
| 1148 |
+
"epoch": 2.480739599383667,
|
| 1149 |
+
"grad_norm": 1.3644909858703613,
|
| 1150 |
+
"learning_rate": 0.0002,
|
| 1151 |
+
"loss": 0.7929,
|
| 1152 |
+
"step": 1610
|
| 1153 |
+
},
|
| 1154 |
+
{
|
| 1155 |
+
"epoch": 2.4961479198767336,
|
| 1156 |
+
"grad_norm": 0.9000744223594666,
|
| 1157 |
+
"learning_rate": 0.0002,
|
| 1158 |
+
"loss": 0.8482,
|
| 1159 |
+
"step": 1620
|
| 1160 |
+
},
|
| 1161 |
+
{
|
| 1162 |
+
"epoch": 2.5115562403697997,
|
| 1163 |
+
"grad_norm": 1.2393828630447388,
|
| 1164 |
+
"learning_rate": 0.0002,
|
| 1165 |
+
"loss": 0.9031,
|
| 1166 |
+
"step": 1630
|
| 1167 |
+
},
|
| 1168 |
+
{
|
| 1169 |
+
"epoch": 2.526964560862866,
|
| 1170 |
+
"grad_norm": 1.231459617614746,
|
| 1171 |
+
"learning_rate": 0.0002,
|
| 1172 |
+
"loss": 0.8986,
|
| 1173 |
+
"step": 1640
|
| 1174 |
+
},
|
| 1175 |
+
{
|
| 1176 |
+
"epoch": 2.542372881355932,
|
| 1177 |
+
"grad_norm": 1.605279564857483,
|
| 1178 |
+
"learning_rate": 0.0002,
|
| 1179 |
+
"loss": 0.8904,
|
| 1180 |
+
"step": 1650
|
| 1181 |
+
},
|
| 1182 |
+
{
|
| 1183 |
+
"epoch": 2.5577812018489983,
|
| 1184 |
+
"grad_norm": 0.9993997812271118,
|
| 1185 |
+
"learning_rate": 0.0002,
|
| 1186 |
+
"loss": 0.9044,
|
| 1187 |
+
"step": 1660
|
| 1188 |
+
},
|
| 1189 |
+
{
|
| 1190 |
+
"epoch": 2.573189522342065,
|
| 1191 |
+
"grad_norm": 0.8446758985519409,
|
| 1192 |
+
"learning_rate": 0.0002,
|
| 1193 |
+
"loss": 0.8079,
|
| 1194 |
+
"step": 1670
|
| 1195 |
+
},
|
| 1196 |
+
{
|
| 1197 |
+
"epoch": 2.588597842835131,
|
| 1198 |
+
"grad_norm": 0.9734597206115723,
|
| 1199 |
+
"learning_rate": 0.0002,
|
| 1200 |
+
"loss": 0.8295,
|
| 1201 |
+
"step": 1680
|
| 1202 |
+
},
|
| 1203 |
+
{
|
| 1204 |
+
"epoch": 2.6040061633281972,
|
| 1205 |
+
"grad_norm": 0.9620639681816101,
|
| 1206 |
+
"learning_rate": 0.0002,
|
| 1207 |
+
"loss": 0.8905,
|
| 1208 |
+
"step": 1690
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 2.6194144838212634,
|
| 1212 |
+
"grad_norm": 1.2597887516021729,
|
| 1213 |
+
"learning_rate": 0.0002,
|
| 1214 |
+
"loss": 0.893,
|
| 1215 |
+
"step": 1700
|
| 1216 |
+
},
|
| 1217 |
+
{
|
| 1218 |
+
"epoch": 2.6348228043143296,
|
| 1219 |
+
"grad_norm": 0.9959160685539246,
|
| 1220 |
+
"learning_rate": 0.0002,
|
| 1221 |
+
"loss": 0.8567,
|
| 1222 |
+
"step": 1710
|
| 1223 |
+
},
|
| 1224 |
+
{
|
| 1225 |
+
"epoch": 2.650231124807396,
|
| 1226 |
+
"grad_norm": 1.729129672050476,
|
| 1227 |
+
"learning_rate": 0.0002,
|
| 1228 |
+
"loss": 0.7528,
|
| 1229 |
+
"step": 1720
|
| 1230 |
+
},
|
| 1231 |
+
{
|
| 1232 |
+
"epoch": 2.6656394453004624,
|
| 1233 |
+
"grad_norm": 0.8466572761535645,
|
| 1234 |
+
"learning_rate": 0.0002,
|
| 1235 |
+
"loss": 0.8859,
|
| 1236 |
+
"step": 1730
|
| 1237 |
+
},
|
| 1238 |
+
{
|
| 1239 |
+
"epoch": 2.6810477657935285,
|
| 1240 |
+
"grad_norm": 0.9277077913284302,
|
| 1241 |
+
"learning_rate": 0.0002,
|
| 1242 |
+
"loss": 0.9075,
|
| 1243 |
+
"step": 1740
|
| 1244 |
+
},
|
| 1245 |
+
{
|
| 1246 |
+
"epoch": 2.6964560862865947,
|
| 1247 |
+
"grad_norm": 1.1184828281402588,
|
| 1248 |
+
"learning_rate": 0.0002,
|
| 1249 |
+
"loss": 0.8168,
|
| 1250 |
+
"step": 1750
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 2.711864406779661,
|
| 1254 |
+
"grad_norm": 1.0716012716293335,
|
| 1255 |
+
"learning_rate": 0.0002,
|
| 1256 |
+
"loss": 0.9063,
|
| 1257 |
+
"step": 1760
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"epoch": 2.7272727272727275,
|
| 1261 |
+
"grad_norm": 1.8334401845932007,
|
| 1262 |
+
"learning_rate": 0.0002,
|
| 1263 |
+
"loss": 0.9066,
|
| 1264 |
+
"step": 1770
|
| 1265 |
+
},
|
| 1266 |
+
{
|
| 1267 |
+
"epoch": 2.7426810477657937,
|
| 1268 |
+
"grad_norm": 1.032091736793518,
|
| 1269 |
+
"learning_rate": 0.0002,
|
| 1270 |
+
"loss": 0.8721,
|
| 1271 |
+
"step": 1780
|
| 1272 |
+
},
|
| 1273 |
+
{
|
| 1274 |
+
"epoch": 2.75808936825886,
|
| 1275 |
+
"grad_norm": 1.0596864223480225,
|
| 1276 |
+
"learning_rate": 0.0002,
|
| 1277 |
+
"loss": 0.9065,
|
| 1278 |
+
"step": 1790
|
| 1279 |
+
},
|
| 1280 |
+
{
|
| 1281 |
+
"epoch": 2.773497688751926,
|
| 1282 |
+
"grad_norm": 0.9625331163406372,
|
| 1283 |
+
"learning_rate": 0.0002,
|
| 1284 |
+
"loss": 0.8729,
|
| 1285 |
+
"step": 1800
|
| 1286 |
+
},
|
| 1287 |
+
{
|
| 1288 |
+
"epoch": 2.788906009244992,
|
| 1289 |
+
"grad_norm": 1.1381267309188843,
|
| 1290 |
+
"learning_rate": 0.0002,
|
| 1291 |
+
"loss": 0.8942,
|
| 1292 |
+
"step": 1810
|
| 1293 |
+
},
|
| 1294 |
+
{
|
| 1295 |
+
"epoch": 2.8043143297380584,
|
| 1296 |
+
"grad_norm": 1.0851205587387085,
|
| 1297 |
+
"learning_rate": 0.0002,
|
| 1298 |
+
"loss": 0.8753,
|
| 1299 |
+
"step": 1820
|
| 1300 |
+
},
|
| 1301 |
+
{
|
| 1302 |
+
"epoch": 2.8197226502311246,
|
| 1303 |
+
"grad_norm": 0.9770793914794922,
|
| 1304 |
+
"learning_rate": 0.0002,
|
| 1305 |
+
"loss": 0.8532,
|
| 1306 |
+
"step": 1830
|
| 1307 |
+
},
|
| 1308 |
+
{
|
| 1309 |
+
"epoch": 2.835130970724191,
|
| 1310 |
+
"grad_norm": 1.067268967628479,
|
| 1311 |
+
"learning_rate": 0.0002,
|
| 1312 |
+
"loss": 0.8686,
|
| 1313 |
+
"step": 1840
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"epoch": 2.8505392912172574,
|
| 1317 |
+
"grad_norm": 1.0252294540405273,
|
| 1318 |
+
"learning_rate": 0.0002,
|
| 1319 |
+
"loss": 0.8931,
|
| 1320 |
+
"step": 1850
|
| 1321 |
+
},
|
| 1322 |
+
{
|
| 1323 |
+
"epoch": 2.8659476117103235,
|
| 1324 |
+
"grad_norm": 1.442360281944275,
|
| 1325 |
+
"learning_rate": 0.0002,
|
| 1326 |
+
"loss": 0.9265,
|
| 1327 |
+
"step": 1860
|
| 1328 |
+
},
|
| 1329 |
+
{
|
| 1330 |
+
"epoch": 2.8813559322033897,
|
| 1331 |
+
"grad_norm": 0.8977653384208679,
|
| 1332 |
+
"learning_rate": 0.0002,
|
| 1333 |
+
"loss": 0.8893,
|
| 1334 |
+
"step": 1870
|
| 1335 |
+
},
|
| 1336 |
+
{
|
| 1337 |
+
"epoch": 2.896764252696456,
|
| 1338 |
+
"grad_norm": 1.0946455001831055,
|
| 1339 |
+
"learning_rate": 0.0002,
|
| 1340 |
+
"loss": 0.8779,
|
| 1341 |
+
"step": 1880
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"epoch": 2.9121725731895225,
|
| 1345 |
+
"grad_norm": 0.9993954300880432,
|
| 1346 |
+
"learning_rate": 0.0002,
|
| 1347 |
+
"loss": 0.8775,
|
| 1348 |
+
"step": 1890
|
| 1349 |
+
},
|
| 1350 |
+
{
|
| 1351 |
+
"epoch": 2.9275808936825887,
|
| 1352 |
+
"grad_norm": 1.1941032409667969,
|
| 1353 |
+
"learning_rate": 0.0002,
|
| 1354 |
+
"loss": 0.8004,
|
| 1355 |
+
"step": 1900
|
| 1356 |
+
},
|
| 1357 |
+
{
|
| 1358 |
+
"epoch": 2.942989214175655,
|
| 1359 |
+
"grad_norm": 1.5158019065856934,
|
| 1360 |
+
"learning_rate": 0.0002,
|
| 1361 |
+
"loss": 0.8862,
|
| 1362 |
+
"step": 1910
|
| 1363 |
+
},
|
| 1364 |
+
{
|
| 1365 |
+
"epoch": 2.958397534668721,
|
| 1366 |
+
"grad_norm": 1.4000548124313354,
|
| 1367 |
+
"learning_rate": 0.0002,
|
| 1368 |
+
"loss": 0.9363,
|
| 1369 |
+
"step": 1920
|
| 1370 |
+
},
|
| 1371 |
+
{
|
| 1372 |
+
"epoch": 2.973805855161787,
|
| 1373 |
+
"grad_norm": 0.9906305074691772,
|
| 1374 |
+
"learning_rate": 0.0002,
|
| 1375 |
+
"loss": 0.8666,
|
| 1376 |
+
"step": 1930
|
| 1377 |
+
},
|
| 1378 |
+
{
|
| 1379 |
+
"epoch": 2.989214175654854,
|
| 1380 |
+
"grad_norm": 1.7382938861846924,
|
| 1381 |
+
"learning_rate": 0.0002,
|
| 1382 |
+
"loss": 0.8434,
|
| 1383 |
+
"step": 1940
|
| 1384 |
+
},
|
| 1385 |
+
{
|
| 1386 |
+
"epoch": 3.0,
|
| 1387 |
+
"eval_loss": 1.2514833211898804,
|
| 1388 |
+
"eval_runtime": 119.8709,
|
| 1389 |
+
"eval_samples_per_second": 3.804,
|
| 1390 |
+
"eval_steps_per_second": 0.476,
|
| 1391 |
+
"step": 1947
|
| 1392 |
+
}
|
| 1393 |
+
],
|
| 1394 |
+
"logging_steps": 10,
|
| 1395 |
+
"max_steps": 5192,
|
| 1396 |
+
"num_input_tokens_seen": 0,
|
| 1397 |
+
"num_train_epochs": 8,
|
| 1398 |
+
"save_steps": 200,
|
| 1399 |
+
"stateful_callbacks": {
|
| 1400 |
+
"TrainerControl": {
|
| 1401 |
+
"args": {
|
| 1402 |
+
"should_epoch_stop": false,
|
| 1403 |
+
"should_evaluate": false,
|
| 1404 |
+
"should_log": false,
|
| 1405 |
+
"should_save": true,
|
| 1406 |
+
"should_training_stop": false
|
| 1407 |
+
},
|
| 1408 |
+
"attributes": {}
|
| 1409 |
+
}
|
| 1410 |
+
},
|
| 1411 |
+
"total_flos": 8.54240928989184e+16,
|
| 1412 |
+
"train_batch_size": 1,
|
| 1413 |
+
"trial_name": null,
|
| 1414 |
+
"trial_params": null
|
| 1415 |
+
}
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-1947/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7da6f114429a9a993fcd6ed877a996e6a07ac3f427895c4f50ec6990a9e85e69
|
| 3 |
+
size 5560
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-2596/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.3
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.13.1
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-2596/adapter_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 32,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 64,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"v_proj",
|
| 24 |
+
"q_proj"
|
| 25 |
+
],
|
| 26 |
+
"task_type": "CAUSAL_LM",
|
| 27 |
+
"use_dora": false,
|
| 28 |
+
"use_rslora": false
|
| 29 |
+
}
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-2596/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fdfd727c0fdda5e35ef04166620a4ae2e1e0ee99c352b3802122990177ab3f6f
|
| 3 |
+
size 109069176
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-2596/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d4fa6fe25b3b146361946d8a416b27b7c69623b52190c1afbb42f0c3f195cb67
|
| 3 |
+
size 55532666
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-2596/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d3cd4d7b01ac2d9db58f0da5efa0ca40fad30eed1aa4628a83d2f6f773589ef7
|
| 3 |
+
size 14244
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-2596/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:30efe1d0afc5640279320794cade4d996759e229c72d2184c501c3f8130e7fa7
|
| 3 |
+
size 1064
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-2596/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-2596/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-2596/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
| 3 |
+
size 587404
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-2596/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-2596/trainer_state.json
ADDED
|
@@ -0,0 +1,1878 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 1.212496042251587,
|
| 3 |
+
"best_model_checkpoint": "outputs-001/Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-649",
|
| 4 |
+
"epoch": 4.0,
|
| 5 |
+
"eval_steps": 10,
|
| 6 |
+
"global_step": 2596,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.015408320493066256,
|
| 13 |
+
"grad_norm": 0.939333975315094,
|
| 14 |
+
"learning_rate": 0.0002,
|
| 15 |
+
"loss": 1.9609,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.030816640986132512,
|
| 20 |
+
"grad_norm": 0.9446700215339661,
|
| 21 |
+
"learning_rate": 0.0002,
|
| 22 |
+
"loss": 1.5975,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.046224961479198766,
|
| 27 |
+
"grad_norm": 0.7268466353416443,
|
| 28 |
+
"learning_rate": 0.0002,
|
| 29 |
+
"loss": 1.5196,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.061633281972265024,
|
| 34 |
+
"grad_norm": 0.8900066018104553,
|
| 35 |
+
"learning_rate": 0.0002,
|
| 36 |
+
"loss": 1.5021,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.07704160246533127,
|
| 41 |
+
"grad_norm": 4.246077060699463,
|
| 42 |
+
"learning_rate": 0.0002,
|
| 43 |
+
"loss": 1.4155,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.09244992295839753,
|
| 48 |
+
"grad_norm": 0.7887561321258545,
|
| 49 |
+
"learning_rate": 0.0002,
|
| 50 |
+
"loss": 1.4052,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.10785824345146379,
|
| 55 |
+
"grad_norm": 0.6822794675827026,
|
| 56 |
+
"learning_rate": 0.0002,
|
| 57 |
+
"loss": 1.215,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.12326656394453005,
|
| 62 |
+
"grad_norm": 0.8871720433235168,
|
| 63 |
+
"learning_rate": 0.0002,
|
| 64 |
+
"loss": 1.2524,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.1386748844375963,
|
| 69 |
+
"grad_norm": 0.6524078249931335,
|
| 70 |
+
"learning_rate": 0.0002,
|
| 71 |
+
"loss": 1.191,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.15408320493066255,
|
| 76 |
+
"grad_norm": 0.5519863367080688,
|
| 77 |
+
"learning_rate": 0.0002,
|
| 78 |
+
"loss": 1.2455,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.1694915254237288,
|
| 83 |
+
"grad_norm": 0.6716212630271912,
|
| 84 |
+
"learning_rate": 0.0002,
|
| 85 |
+
"loss": 1.2515,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.18489984591679506,
|
| 90 |
+
"grad_norm": 1.527921199798584,
|
| 91 |
+
"learning_rate": 0.0002,
|
| 92 |
+
"loss": 1.2239,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.20030816640986132,
|
| 97 |
+
"grad_norm": 0.6893861293792725,
|
| 98 |
+
"learning_rate": 0.0002,
|
| 99 |
+
"loss": 1.2887,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.21571648690292758,
|
| 104 |
+
"grad_norm": 0.5514246821403503,
|
| 105 |
+
"learning_rate": 0.0002,
|
| 106 |
+
"loss": 1.1722,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.23112480739599384,
|
| 111 |
+
"grad_norm": 0.5830065608024597,
|
| 112 |
+
"learning_rate": 0.0002,
|
| 113 |
+
"loss": 1.1946,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.2465331278890601,
|
| 118 |
+
"grad_norm": 0.7411216497421265,
|
| 119 |
+
"learning_rate": 0.0002,
|
| 120 |
+
"loss": 1.3105,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.26194144838212635,
|
| 125 |
+
"grad_norm": 0.7470705509185791,
|
| 126 |
+
"learning_rate": 0.0002,
|
| 127 |
+
"loss": 1.2008,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.2773497688751926,
|
| 132 |
+
"grad_norm": 0.6140725016593933,
|
| 133 |
+
"learning_rate": 0.0002,
|
| 134 |
+
"loss": 1.2497,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.29275808936825887,
|
| 139 |
+
"grad_norm": 0.7563071250915527,
|
| 140 |
+
"learning_rate": 0.0002,
|
| 141 |
+
"loss": 1.1514,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.3081664098613251,
|
| 146 |
+
"grad_norm": 0.5491266250610352,
|
| 147 |
+
"learning_rate": 0.0002,
|
| 148 |
+
"loss": 1.2703,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.3235747303543914,
|
| 153 |
+
"grad_norm": 0.5403220057487488,
|
| 154 |
+
"learning_rate": 0.0002,
|
| 155 |
+
"loss": 1.2168,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.3389830508474576,
|
| 160 |
+
"grad_norm": 0.9616869688034058,
|
| 161 |
+
"learning_rate": 0.0002,
|
| 162 |
+
"loss": 1.2409,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.3543913713405239,
|
| 167 |
+
"grad_norm": 0.5448639988899231,
|
| 168 |
+
"learning_rate": 0.0002,
|
| 169 |
+
"loss": 1.3112,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.3697996918335901,
|
| 174 |
+
"grad_norm": 0.6322043538093567,
|
| 175 |
+
"learning_rate": 0.0002,
|
| 176 |
+
"loss": 1.3023,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.3852080123266564,
|
| 181 |
+
"grad_norm": 0.5178093314170837,
|
| 182 |
+
"learning_rate": 0.0002,
|
| 183 |
+
"loss": 1.2382,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.40061633281972264,
|
| 188 |
+
"grad_norm": 0.6274669766426086,
|
| 189 |
+
"learning_rate": 0.0002,
|
| 190 |
+
"loss": 1.2755,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.41602465331278893,
|
| 195 |
+
"grad_norm": 1.1093109846115112,
|
| 196 |
+
"learning_rate": 0.0002,
|
| 197 |
+
"loss": 1.3263,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.43143297380585516,
|
| 202 |
+
"grad_norm": 1.8002032041549683,
|
| 203 |
+
"learning_rate": 0.0002,
|
| 204 |
+
"loss": 1.2201,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.44684129429892144,
|
| 209 |
+
"grad_norm": 0.5977614521980286,
|
| 210 |
+
"learning_rate": 0.0002,
|
| 211 |
+
"loss": 1.2335,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.4622496147919877,
|
| 216 |
+
"grad_norm": 0.5583769083023071,
|
| 217 |
+
"learning_rate": 0.0002,
|
| 218 |
+
"loss": 1.2076,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.4776579352850539,
|
| 223 |
+
"grad_norm": 0.5563502311706543,
|
| 224 |
+
"learning_rate": 0.0002,
|
| 225 |
+
"loss": 1.197,
|
| 226 |
+
"step": 310
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.4930662557781202,
|
| 230 |
+
"grad_norm": 0.9157887101173401,
|
| 231 |
+
"learning_rate": 0.0002,
|
| 232 |
+
"loss": 1.164,
|
| 233 |
+
"step": 320
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.5084745762711864,
|
| 237 |
+
"grad_norm": 0.551705539226532,
|
| 238 |
+
"learning_rate": 0.0002,
|
| 239 |
+
"loss": 1.1266,
|
| 240 |
+
"step": 330
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.5238828967642527,
|
| 244 |
+
"grad_norm": 9.011388778686523,
|
| 245 |
+
"learning_rate": 0.0002,
|
| 246 |
+
"loss": 1.2801,
|
| 247 |
+
"step": 340
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.539291217257319,
|
| 251 |
+
"grad_norm": 0.6527810096740723,
|
| 252 |
+
"learning_rate": 0.0002,
|
| 253 |
+
"loss": 1.2024,
|
| 254 |
+
"step": 350
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.5546995377503852,
|
| 258 |
+
"grad_norm": 1.3121646642684937,
|
| 259 |
+
"learning_rate": 0.0002,
|
| 260 |
+
"loss": 1.1424,
|
| 261 |
+
"step": 360
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.5701078582434514,
|
| 265 |
+
"grad_norm": 0.7247968316078186,
|
| 266 |
+
"learning_rate": 0.0002,
|
| 267 |
+
"loss": 1.2555,
|
| 268 |
+
"step": 370
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.5855161787365177,
|
| 272 |
+
"grad_norm": 0.5430527925491333,
|
| 273 |
+
"learning_rate": 0.0002,
|
| 274 |
+
"loss": 1.196,
|
| 275 |
+
"step": 380
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.600924499229584,
|
| 279 |
+
"grad_norm": 0.6050328612327576,
|
| 280 |
+
"learning_rate": 0.0002,
|
| 281 |
+
"loss": 1.1822,
|
| 282 |
+
"step": 390
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.6163328197226502,
|
| 286 |
+
"grad_norm": 0.49382615089416504,
|
| 287 |
+
"learning_rate": 0.0002,
|
| 288 |
+
"loss": 1.2754,
|
| 289 |
+
"step": 400
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.6317411402157165,
|
| 293 |
+
"grad_norm": 0.5804041624069214,
|
| 294 |
+
"learning_rate": 0.0002,
|
| 295 |
+
"loss": 1.2595,
|
| 296 |
+
"step": 410
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.6471494607087828,
|
| 300 |
+
"grad_norm": 0.524357259273529,
|
| 301 |
+
"learning_rate": 0.0002,
|
| 302 |
+
"loss": 1.2926,
|
| 303 |
+
"step": 420
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.662557781201849,
|
| 307 |
+
"grad_norm": 1.8817486763000488,
|
| 308 |
+
"learning_rate": 0.0002,
|
| 309 |
+
"loss": 1.1928,
|
| 310 |
+
"step": 430
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.6779661016949152,
|
| 314 |
+
"grad_norm": 0.6104950308799744,
|
| 315 |
+
"learning_rate": 0.0002,
|
| 316 |
+
"loss": 1.2103,
|
| 317 |
+
"step": 440
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.6933744221879815,
|
| 321 |
+
"grad_norm": 0.631179928779602,
|
| 322 |
+
"learning_rate": 0.0002,
|
| 323 |
+
"loss": 1.2296,
|
| 324 |
+
"step": 450
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.7087827426810478,
|
| 328 |
+
"grad_norm": 0.6562483310699463,
|
| 329 |
+
"learning_rate": 0.0002,
|
| 330 |
+
"loss": 1.1843,
|
| 331 |
+
"step": 460
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.724191063174114,
|
| 335 |
+
"grad_norm": 0.578336775302887,
|
| 336 |
+
"learning_rate": 0.0002,
|
| 337 |
+
"loss": 1.2424,
|
| 338 |
+
"step": 470
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.7395993836671803,
|
| 342 |
+
"grad_norm": 0.8468874096870422,
|
| 343 |
+
"learning_rate": 0.0002,
|
| 344 |
+
"loss": 1.192,
|
| 345 |
+
"step": 480
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.7550077041602465,
|
| 349 |
+
"grad_norm": 0.7162539958953857,
|
| 350 |
+
"learning_rate": 0.0002,
|
| 351 |
+
"loss": 1.2913,
|
| 352 |
+
"step": 490
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.7704160246533128,
|
| 356 |
+
"grad_norm": 0.7655543684959412,
|
| 357 |
+
"learning_rate": 0.0002,
|
| 358 |
+
"loss": 1.2158,
|
| 359 |
+
"step": 500
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.785824345146379,
|
| 363 |
+
"grad_norm": 0.5711562037467957,
|
| 364 |
+
"learning_rate": 0.0002,
|
| 365 |
+
"loss": 1.2637,
|
| 366 |
+
"step": 510
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.8012326656394453,
|
| 370 |
+
"grad_norm": 0.7273485660552979,
|
| 371 |
+
"learning_rate": 0.0002,
|
| 372 |
+
"loss": 1.1277,
|
| 373 |
+
"step": 520
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.8166409861325116,
|
| 377 |
+
"grad_norm": 0.47050145268440247,
|
| 378 |
+
"learning_rate": 0.0002,
|
| 379 |
+
"loss": 1.188,
|
| 380 |
+
"step": 530
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.8320493066255779,
|
| 384 |
+
"grad_norm": 0.4930959939956665,
|
| 385 |
+
"learning_rate": 0.0002,
|
| 386 |
+
"loss": 1.1462,
|
| 387 |
+
"step": 540
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.847457627118644,
|
| 391 |
+
"grad_norm": 0.553955614566803,
|
| 392 |
+
"learning_rate": 0.0002,
|
| 393 |
+
"loss": 1.167,
|
| 394 |
+
"step": 550
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.8628659476117103,
|
| 398 |
+
"grad_norm": 0.6495056748390198,
|
| 399 |
+
"learning_rate": 0.0002,
|
| 400 |
+
"loss": 1.1831,
|
| 401 |
+
"step": 560
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.8782742681047766,
|
| 405 |
+
"grad_norm": 0.4586578905582428,
|
| 406 |
+
"learning_rate": 0.0002,
|
| 407 |
+
"loss": 1.0984,
|
| 408 |
+
"step": 570
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.8936825885978429,
|
| 412 |
+
"grad_norm": 0.4870392680168152,
|
| 413 |
+
"learning_rate": 0.0002,
|
| 414 |
+
"loss": 1.2415,
|
| 415 |
+
"step": 580
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.9090909090909091,
|
| 419 |
+
"grad_norm": 0.6337013244628906,
|
| 420 |
+
"learning_rate": 0.0002,
|
| 421 |
+
"loss": 1.1735,
|
| 422 |
+
"step": 590
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.9244992295839753,
|
| 426 |
+
"grad_norm": 0.7260186672210693,
|
| 427 |
+
"learning_rate": 0.0002,
|
| 428 |
+
"loss": 1.1781,
|
| 429 |
+
"step": 600
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.9399075500770416,
|
| 433 |
+
"grad_norm": 1.4133737087249756,
|
| 434 |
+
"learning_rate": 0.0002,
|
| 435 |
+
"loss": 1.2536,
|
| 436 |
+
"step": 610
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.9553158705701078,
|
| 440 |
+
"grad_norm": 0.573525071144104,
|
| 441 |
+
"learning_rate": 0.0002,
|
| 442 |
+
"loss": 1.2211,
|
| 443 |
+
"step": 620
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.9707241910631741,
|
| 447 |
+
"grad_norm": 0.8403644561767578,
|
| 448 |
+
"learning_rate": 0.0002,
|
| 449 |
+
"loss": 1.11,
|
| 450 |
+
"step": 630
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.9861325115562404,
|
| 454 |
+
"grad_norm": 0.7665438055992126,
|
| 455 |
+
"learning_rate": 0.0002,
|
| 456 |
+
"loss": 1.2932,
|
| 457 |
+
"step": 640
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 1.0,
|
| 461 |
+
"eval_loss": 1.212496042251587,
|
| 462 |
+
"eval_runtime": 120.3264,
|
| 463 |
+
"eval_samples_per_second": 3.79,
|
| 464 |
+
"eval_steps_per_second": 0.474,
|
| 465 |
+
"step": 649
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 1.0015408320493067,
|
| 469 |
+
"grad_norm": 0.6874801516532898,
|
| 470 |
+
"learning_rate": 0.0002,
|
| 471 |
+
"loss": 1.176,
|
| 472 |
+
"step": 650
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 1.0169491525423728,
|
| 476 |
+
"grad_norm": 0.6675221920013428,
|
| 477 |
+
"learning_rate": 0.0002,
|
| 478 |
+
"loss": 1.0957,
|
| 479 |
+
"step": 660
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 1.0323574730354392,
|
| 483 |
+
"grad_norm": 0.6837265491485596,
|
| 484 |
+
"learning_rate": 0.0002,
|
| 485 |
+
"loss": 1.1616,
|
| 486 |
+
"step": 670
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 1.0477657935285054,
|
| 490 |
+
"grad_norm": 0.6796931028366089,
|
| 491 |
+
"learning_rate": 0.0002,
|
| 492 |
+
"loss": 1.045,
|
| 493 |
+
"step": 680
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 1.0631741140215716,
|
| 497 |
+
"grad_norm": 0.6596675515174866,
|
| 498 |
+
"learning_rate": 0.0002,
|
| 499 |
+
"loss": 1.0889,
|
| 500 |
+
"step": 690
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 1.078582434514638,
|
| 504 |
+
"grad_norm": 0.6630653142929077,
|
| 505 |
+
"learning_rate": 0.0002,
|
| 506 |
+
"loss": 1.067,
|
| 507 |
+
"step": 700
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 1.0939907550077042,
|
| 511 |
+
"grad_norm": 0.7065498232841492,
|
| 512 |
+
"learning_rate": 0.0002,
|
| 513 |
+
"loss": 1.0222,
|
| 514 |
+
"step": 710
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 1.1093990755007703,
|
| 518 |
+
"grad_norm": 0.694682240486145,
|
| 519 |
+
"learning_rate": 0.0002,
|
| 520 |
+
"loss": 1.081,
|
| 521 |
+
"step": 720
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 1.1248073959938367,
|
| 525 |
+
"grad_norm": 0.8984217047691345,
|
| 526 |
+
"learning_rate": 0.0002,
|
| 527 |
+
"loss": 1.1019,
|
| 528 |
+
"step": 730
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 1.140215716486903,
|
| 532 |
+
"grad_norm": 1.0035051107406616,
|
| 533 |
+
"learning_rate": 0.0002,
|
| 534 |
+
"loss": 1.0506,
|
| 535 |
+
"step": 740
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 1.1556240369799693,
|
| 539 |
+
"grad_norm": 0.8646948933601379,
|
| 540 |
+
"learning_rate": 0.0002,
|
| 541 |
+
"loss": 1.0502,
|
| 542 |
+
"step": 750
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 1.1710323574730355,
|
| 546 |
+
"grad_norm": 0.6287558674812317,
|
| 547 |
+
"learning_rate": 0.0002,
|
| 548 |
+
"loss": 1.0256,
|
| 549 |
+
"step": 760
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 1.1864406779661016,
|
| 553 |
+
"grad_norm": 0.6975560784339905,
|
| 554 |
+
"learning_rate": 0.0002,
|
| 555 |
+
"loss": 1.051,
|
| 556 |
+
"step": 770
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 1.201848998459168,
|
| 560 |
+
"grad_norm": 0.5972192883491516,
|
| 561 |
+
"learning_rate": 0.0002,
|
| 562 |
+
"loss": 1.0409,
|
| 563 |
+
"step": 780
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 1.2172573189522342,
|
| 567 |
+
"grad_norm": 0.7299932241439819,
|
| 568 |
+
"learning_rate": 0.0002,
|
| 569 |
+
"loss": 1.0837,
|
| 570 |
+
"step": 790
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 1.2326656394453004,
|
| 574 |
+
"grad_norm": 0.8376814126968384,
|
| 575 |
+
"learning_rate": 0.0002,
|
| 576 |
+
"loss": 1.1291,
|
| 577 |
+
"step": 800
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 1.2480739599383668,
|
| 581 |
+
"grad_norm": 1.117690086364746,
|
| 582 |
+
"learning_rate": 0.0002,
|
| 583 |
+
"loss": 1.0809,
|
| 584 |
+
"step": 810
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 1.263482280431433,
|
| 588 |
+
"grad_norm": 0.7850839495658875,
|
| 589 |
+
"learning_rate": 0.0002,
|
| 590 |
+
"loss": 1.0762,
|
| 591 |
+
"step": 820
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 1.2788906009244991,
|
| 595 |
+
"grad_norm": 0.7941734790802002,
|
| 596 |
+
"learning_rate": 0.0002,
|
| 597 |
+
"loss": 1.2278,
|
| 598 |
+
"step": 830
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 1.2942989214175655,
|
| 602 |
+
"grad_norm": 0.5682743787765503,
|
| 603 |
+
"learning_rate": 0.0002,
|
| 604 |
+
"loss": 0.9723,
|
| 605 |
+
"step": 840
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 1.3097072419106317,
|
| 609 |
+
"grad_norm": 0.7182576060295105,
|
| 610 |
+
"learning_rate": 0.0002,
|
| 611 |
+
"loss": 1.0262,
|
| 612 |
+
"step": 850
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 1.325115562403698,
|
| 616 |
+
"grad_norm": 0.7436819672584534,
|
| 617 |
+
"learning_rate": 0.0002,
|
| 618 |
+
"loss": 1.0801,
|
| 619 |
+
"step": 860
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 1.3405238828967643,
|
| 623 |
+
"grad_norm": 0.7665132880210876,
|
| 624 |
+
"learning_rate": 0.0002,
|
| 625 |
+
"loss": 1.0705,
|
| 626 |
+
"step": 870
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 1.3559322033898304,
|
| 630 |
+
"grad_norm": 1.060669183731079,
|
| 631 |
+
"learning_rate": 0.0002,
|
| 632 |
+
"loss": 1.1925,
|
| 633 |
+
"step": 880
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 1.3713405238828968,
|
| 637 |
+
"grad_norm": 0.6262772083282471,
|
| 638 |
+
"learning_rate": 0.0002,
|
| 639 |
+
"loss": 1.0581,
|
| 640 |
+
"step": 890
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 1.386748844375963,
|
| 644 |
+
"grad_norm": 1.010703682899475,
|
| 645 |
+
"learning_rate": 0.0002,
|
| 646 |
+
"loss": 1.0934,
|
| 647 |
+
"step": 900
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 1.4021571648690292,
|
| 651 |
+
"grad_norm": 0.5669811367988586,
|
| 652 |
+
"learning_rate": 0.0002,
|
| 653 |
+
"loss": 1.111,
|
| 654 |
+
"step": 910
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 1.4175654853620956,
|
| 658 |
+
"grad_norm": 0.8644649386405945,
|
| 659 |
+
"learning_rate": 0.0002,
|
| 660 |
+
"loss": 1.0638,
|
| 661 |
+
"step": 920
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 1.4329738058551618,
|
| 665 |
+
"grad_norm": 0.6250067949295044,
|
| 666 |
+
"learning_rate": 0.0002,
|
| 667 |
+
"loss": 1.1973,
|
| 668 |
+
"step": 930
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 1.448382126348228,
|
| 672 |
+
"grad_norm": 0.6507946848869324,
|
| 673 |
+
"learning_rate": 0.0002,
|
| 674 |
+
"loss": 1.0592,
|
| 675 |
+
"step": 940
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 1.4637904468412943,
|
| 679 |
+
"grad_norm": 0.9305022954940796,
|
| 680 |
+
"learning_rate": 0.0002,
|
| 681 |
+
"loss": 1.0306,
|
| 682 |
+
"step": 950
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 1.4791987673343605,
|
| 686 |
+
"grad_norm": 0.86021888256073,
|
| 687 |
+
"learning_rate": 0.0002,
|
| 688 |
+
"loss": 0.9792,
|
| 689 |
+
"step": 960
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 1.494607087827427,
|
| 693 |
+
"grad_norm": 1.1122219562530518,
|
| 694 |
+
"learning_rate": 0.0002,
|
| 695 |
+
"loss": 1.0656,
|
| 696 |
+
"step": 970
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 1.510015408320493,
|
| 700 |
+
"grad_norm": 0.7431066036224365,
|
| 701 |
+
"learning_rate": 0.0002,
|
| 702 |
+
"loss": 1.0745,
|
| 703 |
+
"step": 980
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 1.5254237288135593,
|
| 707 |
+
"grad_norm": 1.022744059562683,
|
| 708 |
+
"learning_rate": 0.0002,
|
| 709 |
+
"loss": 1.0822,
|
| 710 |
+
"step": 990
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 1.5408320493066254,
|
| 714 |
+
"grad_norm": 0.6638363599777222,
|
| 715 |
+
"learning_rate": 0.0002,
|
| 716 |
+
"loss": 1.0689,
|
| 717 |
+
"step": 1000
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 1.5562403697996918,
|
| 721 |
+
"grad_norm": 0.6290505528450012,
|
| 722 |
+
"learning_rate": 0.0002,
|
| 723 |
+
"loss": 1.1032,
|
| 724 |
+
"step": 1010
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 1.5716486902927582,
|
| 728 |
+
"grad_norm": 0.6446037888526917,
|
| 729 |
+
"learning_rate": 0.0002,
|
| 730 |
+
"loss": 1.0572,
|
| 731 |
+
"step": 1020
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 1.5870570107858244,
|
| 735 |
+
"grad_norm": 0.7383618354797363,
|
| 736 |
+
"learning_rate": 0.0002,
|
| 737 |
+
"loss": 1.0814,
|
| 738 |
+
"step": 1030
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 1.6024653312788906,
|
| 742 |
+
"grad_norm": 3.5893094539642334,
|
| 743 |
+
"learning_rate": 0.0002,
|
| 744 |
+
"loss": 1.0643,
|
| 745 |
+
"step": 1040
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 1.6178736517719567,
|
| 749 |
+
"grad_norm": 0.7388538718223572,
|
| 750 |
+
"learning_rate": 0.0002,
|
| 751 |
+
"loss": 0.9806,
|
| 752 |
+
"step": 1050
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 1.6332819722650231,
|
| 756 |
+
"grad_norm": 0.7813242077827454,
|
| 757 |
+
"learning_rate": 0.0002,
|
| 758 |
+
"loss": 1.1,
|
| 759 |
+
"step": 1060
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 1.6486902927580893,
|
| 763 |
+
"grad_norm": 0.6643418669700623,
|
| 764 |
+
"learning_rate": 0.0002,
|
| 765 |
+
"loss": 1.0463,
|
| 766 |
+
"step": 1070
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 1.6640986132511557,
|
| 770 |
+
"grad_norm": 0.7817712426185608,
|
| 771 |
+
"learning_rate": 0.0002,
|
| 772 |
+
"loss": 1.0344,
|
| 773 |
+
"step": 1080
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 1.6795069337442219,
|
| 777 |
+
"grad_norm": 0.8741177916526794,
|
| 778 |
+
"learning_rate": 0.0002,
|
| 779 |
+
"loss": 1.0447,
|
| 780 |
+
"step": 1090
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 1.694915254237288,
|
| 784 |
+
"grad_norm": 0.969813883304596,
|
| 785 |
+
"learning_rate": 0.0002,
|
| 786 |
+
"loss": 1.0724,
|
| 787 |
+
"step": 1100
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 1.7103235747303542,
|
| 791 |
+
"grad_norm": 0.7666333913803101,
|
| 792 |
+
"learning_rate": 0.0002,
|
| 793 |
+
"loss": 0.9887,
|
| 794 |
+
"step": 1110
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 1.7257318952234206,
|
| 798 |
+
"grad_norm": 0.789859414100647,
|
| 799 |
+
"learning_rate": 0.0002,
|
| 800 |
+
"loss": 0.9159,
|
| 801 |
+
"step": 1120
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 1.741140215716487,
|
| 805 |
+
"grad_norm": 0.7018347382545471,
|
| 806 |
+
"learning_rate": 0.0002,
|
| 807 |
+
"loss": 1.0679,
|
| 808 |
+
"step": 1130
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 1.7565485362095532,
|
| 812 |
+
"grad_norm": 0.8899882435798645,
|
| 813 |
+
"learning_rate": 0.0002,
|
| 814 |
+
"loss": 1.1429,
|
| 815 |
+
"step": 1140
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 1.7719568567026194,
|
| 819 |
+
"grad_norm": 0.7738426923751831,
|
| 820 |
+
"learning_rate": 0.0002,
|
| 821 |
+
"loss": 0.9214,
|
| 822 |
+
"step": 1150
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 1.7873651771956856,
|
| 826 |
+
"grad_norm": 1.032209873199463,
|
| 827 |
+
"learning_rate": 0.0002,
|
| 828 |
+
"loss": 1.0733,
|
| 829 |
+
"step": 1160
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 1.802773497688752,
|
| 833 |
+
"grad_norm": 0.7310711741447449,
|
| 834 |
+
"learning_rate": 0.0002,
|
| 835 |
+
"loss": 1.0522,
|
| 836 |
+
"step": 1170
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 1.8181818181818183,
|
| 840 |
+
"grad_norm": 0.8506733775138855,
|
| 841 |
+
"learning_rate": 0.0002,
|
| 842 |
+
"loss": 1.0943,
|
| 843 |
+
"step": 1180
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 1.8335901386748845,
|
| 847 |
+
"grad_norm": 116.00221252441406,
|
| 848 |
+
"learning_rate": 0.0002,
|
| 849 |
+
"loss": 1.1349,
|
| 850 |
+
"step": 1190
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 1.8489984591679507,
|
| 854 |
+
"grad_norm": 0.8819684982299805,
|
| 855 |
+
"learning_rate": 0.0002,
|
| 856 |
+
"loss": 1.0595,
|
| 857 |
+
"step": 1200
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 1.8644067796610169,
|
| 861 |
+
"grad_norm": 0.8846774697303772,
|
| 862 |
+
"learning_rate": 0.0002,
|
| 863 |
+
"loss": 0.995,
|
| 864 |
+
"step": 1210
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 1.879815100154083,
|
| 868 |
+
"grad_norm": 1.6417866945266724,
|
| 869 |
+
"learning_rate": 0.0002,
|
| 870 |
+
"loss": 1.116,
|
| 871 |
+
"step": 1220
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 1.8952234206471494,
|
| 875 |
+
"grad_norm": 1.1875122785568237,
|
| 876 |
+
"learning_rate": 0.0002,
|
| 877 |
+
"loss": 1.044,
|
| 878 |
+
"step": 1230
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 1.9106317411402158,
|
| 882 |
+
"grad_norm": 0.6520240306854248,
|
| 883 |
+
"learning_rate": 0.0002,
|
| 884 |
+
"loss": 1.0322,
|
| 885 |
+
"step": 1240
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 1.926040061633282,
|
| 889 |
+
"grad_norm": 0.9059738516807556,
|
| 890 |
+
"learning_rate": 0.0002,
|
| 891 |
+
"loss": 1.0175,
|
| 892 |
+
"step": 1250
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 1.9414483821263482,
|
| 896 |
+
"grad_norm": 0.7950983643531799,
|
| 897 |
+
"learning_rate": 0.0002,
|
| 898 |
+
"loss": 1.1097,
|
| 899 |
+
"step": 1260
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 1.9568567026194144,
|
| 903 |
+
"grad_norm": 0.6911653280258179,
|
| 904 |
+
"learning_rate": 0.0002,
|
| 905 |
+
"loss": 1.0313,
|
| 906 |
+
"step": 1270
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 1.9722650231124808,
|
| 910 |
+
"grad_norm": 0.9487978219985962,
|
| 911 |
+
"learning_rate": 0.0002,
|
| 912 |
+
"loss": 1.0762,
|
| 913 |
+
"step": 1280
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 1.9876733436055471,
|
| 917 |
+
"grad_norm": 0.716439425945282,
|
| 918 |
+
"learning_rate": 0.0002,
|
| 919 |
+
"loss": 1.1608,
|
| 920 |
+
"step": 1290
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 2.0,
|
| 924 |
+
"eval_loss": 1.215390682220459,
|
| 925 |
+
"eval_runtime": 120.3893,
|
| 926 |
+
"eval_samples_per_second": 3.788,
|
| 927 |
+
"eval_steps_per_second": 0.473,
|
| 928 |
+
"step": 1298
|
| 929 |
+
},
|
| 930 |
+
{
|
| 931 |
+
"epoch": 2.0030816640986133,
|
| 932 |
+
"grad_norm": 0.7292942404747009,
|
| 933 |
+
"learning_rate": 0.0002,
|
| 934 |
+
"loss": 1.0205,
|
| 935 |
+
"step": 1300
|
| 936 |
+
},
|
| 937 |
+
{
|
| 938 |
+
"epoch": 2.0184899845916795,
|
| 939 |
+
"grad_norm": 0.8386905789375305,
|
| 940 |
+
"learning_rate": 0.0002,
|
| 941 |
+
"loss": 0.8264,
|
| 942 |
+
"step": 1310
|
| 943 |
+
},
|
| 944 |
+
{
|
| 945 |
+
"epoch": 2.0338983050847457,
|
| 946 |
+
"grad_norm": 1.114105224609375,
|
| 947 |
+
"learning_rate": 0.0002,
|
| 948 |
+
"loss": 0.7925,
|
| 949 |
+
"step": 1320
|
| 950 |
+
},
|
| 951 |
+
{
|
| 952 |
+
"epoch": 2.049306625577812,
|
| 953 |
+
"grad_norm": 1.068211317062378,
|
| 954 |
+
"learning_rate": 0.0002,
|
| 955 |
+
"loss": 0.8673,
|
| 956 |
+
"step": 1330
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 2.0647149460708785,
|
| 960 |
+
"grad_norm": 0.8620569109916687,
|
| 961 |
+
"learning_rate": 0.0002,
|
| 962 |
+
"loss": 0.8883,
|
| 963 |
+
"step": 1340
|
| 964 |
+
},
|
| 965 |
+
{
|
| 966 |
+
"epoch": 2.0801232665639446,
|
| 967 |
+
"grad_norm": 0.8984315991401672,
|
| 968 |
+
"learning_rate": 0.0002,
|
| 969 |
+
"loss": 0.8949,
|
| 970 |
+
"step": 1350
|
| 971 |
+
},
|
| 972 |
+
{
|
| 973 |
+
"epoch": 2.095531587057011,
|
| 974 |
+
"grad_norm": 1.0469365119934082,
|
| 975 |
+
"learning_rate": 0.0002,
|
| 976 |
+
"loss": 0.8992,
|
| 977 |
+
"step": 1360
|
| 978 |
+
},
|
| 979 |
+
{
|
| 980 |
+
"epoch": 2.110939907550077,
|
| 981 |
+
"grad_norm": 0.9392943978309631,
|
| 982 |
+
"learning_rate": 0.0002,
|
| 983 |
+
"loss": 0.8053,
|
| 984 |
+
"step": 1370
|
| 985 |
+
},
|
| 986 |
+
{
|
| 987 |
+
"epoch": 2.126348228043143,
|
| 988 |
+
"grad_norm": 1.2067331075668335,
|
| 989 |
+
"learning_rate": 0.0002,
|
| 990 |
+
"loss": 0.8791,
|
| 991 |
+
"step": 1380
|
| 992 |
+
},
|
| 993 |
+
{
|
| 994 |
+
"epoch": 2.1417565485362093,
|
| 995 |
+
"grad_norm": 0.8019351363182068,
|
| 996 |
+
"learning_rate": 0.0002,
|
| 997 |
+
"loss": 0.7925,
|
| 998 |
+
"step": 1390
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 2.157164869029276,
|
| 1002 |
+
"grad_norm": 0.9445130228996277,
|
| 1003 |
+
"learning_rate": 0.0002,
|
| 1004 |
+
"loss": 0.8669,
|
| 1005 |
+
"step": 1400
|
| 1006 |
+
},
|
| 1007 |
+
{
|
| 1008 |
+
"epoch": 2.172573189522342,
|
| 1009 |
+
"grad_norm": 0.9806232452392578,
|
| 1010 |
+
"learning_rate": 0.0002,
|
| 1011 |
+
"loss": 0.8293,
|
| 1012 |
+
"step": 1410
|
| 1013 |
+
},
|
| 1014 |
+
{
|
| 1015 |
+
"epoch": 2.1879815100154083,
|
| 1016 |
+
"grad_norm": 1.2135679721832275,
|
| 1017 |
+
"learning_rate": 0.0002,
|
| 1018 |
+
"loss": 0.8499,
|
| 1019 |
+
"step": 1420
|
| 1020 |
+
},
|
| 1021 |
+
{
|
| 1022 |
+
"epoch": 2.2033898305084745,
|
| 1023 |
+
"grad_norm": 1.1036803722381592,
|
| 1024 |
+
"learning_rate": 0.0002,
|
| 1025 |
+
"loss": 0.8908,
|
| 1026 |
+
"step": 1430
|
| 1027 |
+
},
|
| 1028 |
+
{
|
| 1029 |
+
"epoch": 2.2187981510015407,
|
| 1030 |
+
"grad_norm": 0.9235773086547852,
|
| 1031 |
+
"learning_rate": 0.0002,
|
| 1032 |
+
"loss": 0.9725,
|
| 1033 |
+
"step": 1440
|
| 1034 |
+
},
|
| 1035 |
+
{
|
| 1036 |
+
"epoch": 2.2342064714946073,
|
| 1037 |
+
"grad_norm": 1.0520254373550415,
|
| 1038 |
+
"learning_rate": 0.0002,
|
| 1039 |
+
"loss": 0.8176,
|
| 1040 |
+
"step": 1450
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 2.2496147919876734,
|
| 1044 |
+
"grad_norm": 1.0121252536773682,
|
| 1045 |
+
"learning_rate": 0.0002,
|
| 1046 |
+
"loss": 0.9138,
|
| 1047 |
+
"step": 1460
|
| 1048 |
+
},
|
| 1049 |
+
{
|
| 1050 |
+
"epoch": 2.2650231124807396,
|
| 1051 |
+
"grad_norm": 1.0718834400177002,
|
| 1052 |
+
"learning_rate": 0.0002,
|
| 1053 |
+
"loss": 0.8722,
|
| 1054 |
+
"step": 1470
|
| 1055 |
+
},
|
| 1056 |
+
{
|
| 1057 |
+
"epoch": 2.280431432973806,
|
| 1058 |
+
"grad_norm": 1.1842551231384277,
|
| 1059 |
+
"learning_rate": 0.0002,
|
| 1060 |
+
"loss": 0.8295,
|
| 1061 |
+
"step": 1480
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 2.295839753466872,
|
| 1065 |
+
"grad_norm": 1.2985937595367432,
|
| 1066 |
+
"learning_rate": 0.0002,
|
| 1067 |
+
"loss": 0.8706,
|
| 1068 |
+
"step": 1490
|
| 1069 |
+
},
|
| 1070 |
+
{
|
| 1071 |
+
"epoch": 2.3112480739599386,
|
| 1072 |
+
"grad_norm": 2.0254523754119873,
|
| 1073 |
+
"learning_rate": 0.0002,
|
| 1074 |
+
"loss": 0.873,
|
| 1075 |
+
"step": 1500
|
| 1076 |
+
},
|
| 1077 |
+
{
|
| 1078 |
+
"epoch": 2.3266563944530048,
|
| 1079 |
+
"grad_norm": 1.1501885652542114,
|
| 1080 |
+
"learning_rate": 0.0002,
|
| 1081 |
+
"loss": 0.8569,
|
| 1082 |
+
"step": 1510
|
| 1083 |
+
},
|
| 1084 |
+
{
|
| 1085 |
+
"epoch": 2.342064714946071,
|
| 1086 |
+
"grad_norm": 1.1277996301651,
|
| 1087 |
+
"learning_rate": 0.0002,
|
| 1088 |
+
"loss": 0.9394,
|
| 1089 |
+
"step": 1520
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"epoch": 2.357473035439137,
|
| 1093 |
+
"grad_norm": 0.9330579042434692,
|
| 1094 |
+
"learning_rate": 0.0002,
|
| 1095 |
+
"loss": 0.8856,
|
| 1096 |
+
"step": 1530
|
| 1097 |
+
},
|
| 1098 |
+
{
|
| 1099 |
+
"epoch": 2.3728813559322033,
|
| 1100 |
+
"grad_norm": 1.3631645441055298,
|
| 1101 |
+
"learning_rate": 0.0002,
|
| 1102 |
+
"loss": 0.8679,
|
| 1103 |
+
"step": 1540
|
| 1104 |
+
},
|
| 1105 |
+
{
|
| 1106 |
+
"epoch": 2.3882896764252695,
|
| 1107 |
+
"grad_norm": 1.070383071899414,
|
| 1108 |
+
"learning_rate": 0.0002,
|
| 1109 |
+
"loss": 0.8644,
|
| 1110 |
+
"step": 1550
|
| 1111 |
+
},
|
| 1112 |
+
{
|
| 1113 |
+
"epoch": 2.403697996918336,
|
| 1114 |
+
"grad_norm": 1.5154823064804077,
|
| 1115 |
+
"learning_rate": 0.0002,
|
| 1116 |
+
"loss": 0.9235,
|
| 1117 |
+
"step": 1560
|
| 1118 |
+
},
|
| 1119 |
+
{
|
| 1120 |
+
"epoch": 2.4191063174114023,
|
| 1121 |
+
"grad_norm": 0.8797892332077026,
|
| 1122 |
+
"learning_rate": 0.0002,
|
| 1123 |
+
"loss": 0.9778,
|
| 1124 |
+
"step": 1570
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 2.4345146379044684,
|
| 1128 |
+
"grad_norm": 1.0940500497817993,
|
| 1129 |
+
"learning_rate": 0.0002,
|
| 1130 |
+
"loss": 0.8952,
|
| 1131 |
+
"step": 1580
|
| 1132 |
+
},
|
| 1133 |
+
{
|
| 1134 |
+
"epoch": 2.4499229583975346,
|
| 1135 |
+
"grad_norm": 1.6111960411071777,
|
| 1136 |
+
"learning_rate": 0.0002,
|
| 1137 |
+
"loss": 0.9352,
|
| 1138 |
+
"step": 1590
|
| 1139 |
+
},
|
| 1140 |
+
{
|
| 1141 |
+
"epoch": 2.4653312788906008,
|
| 1142 |
+
"grad_norm": 0.9618533849716187,
|
| 1143 |
+
"learning_rate": 0.0002,
|
| 1144 |
+
"loss": 0.8462,
|
| 1145 |
+
"step": 1600
|
| 1146 |
+
},
|
| 1147 |
+
{
|
| 1148 |
+
"epoch": 2.480739599383667,
|
| 1149 |
+
"grad_norm": 1.3644909858703613,
|
| 1150 |
+
"learning_rate": 0.0002,
|
| 1151 |
+
"loss": 0.7929,
|
| 1152 |
+
"step": 1610
|
| 1153 |
+
},
|
| 1154 |
+
{
|
| 1155 |
+
"epoch": 2.4961479198767336,
|
| 1156 |
+
"grad_norm": 0.9000744223594666,
|
| 1157 |
+
"learning_rate": 0.0002,
|
| 1158 |
+
"loss": 0.8482,
|
| 1159 |
+
"step": 1620
|
| 1160 |
+
},
|
| 1161 |
+
{
|
| 1162 |
+
"epoch": 2.5115562403697997,
|
| 1163 |
+
"grad_norm": 1.2393828630447388,
|
| 1164 |
+
"learning_rate": 0.0002,
|
| 1165 |
+
"loss": 0.9031,
|
| 1166 |
+
"step": 1630
|
| 1167 |
+
},
|
| 1168 |
+
{
|
| 1169 |
+
"epoch": 2.526964560862866,
|
| 1170 |
+
"grad_norm": 1.231459617614746,
|
| 1171 |
+
"learning_rate": 0.0002,
|
| 1172 |
+
"loss": 0.8986,
|
| 1173 |
+
"step": 1640
|
| 1174 |
+
},
|
| 1175 |
+
{
|
| 1176 |
+
"epoch": 2.542372881355932,
|
| 1177 |
+
"grad_norm": 1.605279564857483,
|
| 1178 |
+
"learning_rate": 0.0002,
|
| 1179 |
+
"loss": 0.8904,
|
| 1180 |
+
"step": 1650
|
| 1181 |
+
},
|
| 1182 |
+
{
|
| 1183 |
+
"epoch": 2.5577812018489983,
|
| 1184 |
+
"grad_norm": 0.9993997812271118,
|
| 1185 |
+
"learning_rate": 0.0002,
|
| 1186 |
+
"loss": 0.9044,
|
| 1187 |
+
"step": 1660
|
| 1188 |
+
},
|
| 1189 |
+
{
|
| 1190 |
+
"epoch": 2.573189522342065,
|
| 1191 |
+
"grad_norm": 0.8446758985519409,
|
| 1192 |
+
"learning_rate": 0.0002,
|
| 1193 |
+
"loss": 0.8079,
|
| 1194 |
+
"step": 1670
|
| 1195 |
+
},
|
| 1196 |
+
{
|
| 1197 |
+
"epoch": 2.588597842835131,
|
| 1198 |
+
"grad_norm": 0.9734597206115723,
|
| 1199 |
+
"learning_rate": 0.0002,
|
| 1200 |
+
"loss": 0.8295,
|
| 1201 |
+
"step": 1680
|
| 1202 |
+
},
|
| 1203 |
+
{
|
| 1204 |
+
"epoch": 2.6040061633281972,
|
| 1205 |
+
"grad_norm": 0.9620639681816101,
|
| 1206 |
+
"learning_rate": 0.0002,
|
| 1207 |
+
"loss": 0.8905,
|
| 1208 |
+
"step": 1690
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 2.6194144838212634,
|
| 1212 |
+
"grad_norm": 1.2597887516021729,
|
| 1213 |
+
"learning_rate": 0.0002,
|
| 1214 |
+
"loss": 0.893,
|
| 1215 |
+
"step": 1700
|
| 1216 |
+
},
|
| 1217 |
+
{
|
| 1218 |
+
"epoch": 2.6348228043143296,
|
| 1219 |
+
"grad_norm": 0.9959160685539246,
|
| 1220 |
+
"learning_rate": 0.0002,
|
| 1221 |
+
"loss": 0.8567,
|
| 1222 |
+
"step": 1710
|
| 1223 |
+
},
|
| 1224 |
+
{
|
| 1225 |
+
"epoch": 2.650231124807396,
|
| 1226 |
+
"grad_norm": 1.729129672050476,
|
| 1227 |
+
"learning_rate": 0.0002,
|
| 1228 |
+
"loss": 0.7528,
|
| 1229 |
+
"step": 1720
|
| 1230 |
+
},
|
| 1231 |
+
{
|
| 1232 |
+
"epoch": 2.6656394453004624,
|
| 1233 |
+
"grad_norm": 0.8466572761535645,
|
| 1234 |
+
"learning_rate": 0.0002,
|
| 1235 |
+
"loss": 0.8859,
|
| 1236 |
+
"step": 1730
|
| 1237 |
+
},
|
| 1238 |
+
{
|
| 1239 |
+
"epoch": 2.6810477657935285,
|
| 1240 |
+
"grad_norm": 0.9277077913284302,
|
| 1241 |
+
"learning_rate": 0.0002,
|
| 1242 |
+
"loss": 0.9075,
|
| 1243 |
+
"step": 1740
|
| 1244 |
+
},
|
| 1245 |
+
{
|
| 1246 |
+
"epoch": 2.6964560862865947,
|
| 1247 |
+
"grad_norm": 1.1184828281402588,
|
| 1248 |
+
"learning_rate": 0.0002,
|
| 1249 |
+
"loss": 0.8168,
|
| 1250 |
+
"step": 1750
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 2.711864406779661,
|
| 1254 |
+
"grad_norm": 1.0716012716293335,
|
| 1255 |
+
"learning_rate": 0.0002,
|
| 1256 |
+
"loss": 0.9063,
|
| 1257 |
+
"step": 1760
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"epoch": 2.7272727272727275,
|
| 1261 |
+
"grad_norm": 1.8334401845932007,
|
| 1262 |
+
"learning_rate": 0.0002,
|
| 1263 |
+
"loss": 0.9066,
|
| 1264 |
+
"step": 1770
|
| 1265 |
+
},
|
| 1266 |
+
{
|
| 1267 |
+
"epoch": 2.7426810477657937,
|
| 1268 |
+
"grad_norm": 1.032091736793518,
|
| 1269 |
+
"learning_rate": 0.0002,
|
| 1270 |
+
"loss": 0.8721,
|
| 1271 |
+
"step": 1780
|
| 1272 |
+
},
|
| 1273 |
+
{
|
| 1274 |
+
"epoch": 2.75808936825886,
|
| 1275 |
+
"grad_norm": 1.0596864223480225,
|
| 1276 |
+
"learning_rate": 0.0002,
|
| 1277 |
+
"loss": 0.9065,
|
| 1278 |
+
"step": 1790
|
| 1279 |
+
},
|
| 1280 |
+
{
|
| 1281 |
+
"epoch": 2.773497688751926,
|
| 1282 |
+
"grad_norm": 0.9625331163406372,
|
| 1283 |
+
"learning_rate": 0.0002,
|
| 1284 |
+
"loss": 0.8729,
|
| 1285 |
+
"step": 1800
|
| 1286 |
+
},
|
| 1287 |
+
{
|
| 1288 |
+
"epoch": 2.788906009244992,
|
| 1289 |
+
"grad_norm": 1.1381267309188843,
|
| 1290 |
+
"learning_rate": 0.0002,
|
| 1291 |
+
"loss": 0.8942,
|
| 1292 |
+
"step": 1810
|
| 1293 |
+
},
|
| 1294 |
+
{
|
| 1295 |
+
"epoch": 2.8043143297380584,
|
| 1296 |
+
"grad_norm": 1.0851205587387085,
|
| 1297 |
+
"learning_rate": 0.0002,
|
| 1298 |
+
"loss": 0.8753,
|
| 1299 |
+
"step": 1820
|
| 1300 |
+
},
|
| 1301 |
+
{
|
| 1302 |
+
"epoch": 2.8197226502311246,
|
| 1303 |
+
"grad_norm": 0.9770793914794922,
|
| 1304 |
+
"learning_rate": 0.0002,
|
| 1305 |
+
"loss": 0.8532,
|
| 1306 |
+
"step": 1830
|
| 1307 |
+
},
|
| 1308 |
+
{
|
| 1309 |
+
"epoch": 2.835130970724191,
|
| 1310 |
+
"grad_norm": 1.067268967628479,
|
| 1311 |
+
"learning_rate": 0.0002,
|
| 1312 |
+
"loss": 0.8686,
|
| 1313 |
+
"step": 1840
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"epoch": 2.8505392912172574,
|
| 1317 |
+
"grad_norm": 1.0252294540405273,
|
| 1318 |
+
"learning_rate": 0.0002,
|
| 1319 |
+
"loss": 0.8931,
|
| 1320 |
+
"step": 1850
|
| 1321 |
+
},
|
| 1322 |
+
{
|
| 1323 |
+
"epoch": 2.8659476117103235,
|
| 1324 |
+
"grad_norm": 1.442360281944275,
|
| 1325 |
+
"learning_rate": 0.0002,
|
| 1326 |
+
"loss": 0.9265,
|
| 1327 |
+
"step": 1860
|
| 1328 |
+
},
|
| 1329 |
+
{
|
| 1330 |
+
"epoch": 2.8813559322033897,
|
| 1331 |
+
"grad_norm": 0.8977653384208679,
|
| 1332 |
+
"learning_rate": 0.0002,
|
| 1333 |
+
"loss": 0.8893,
|
| 1334 |
+
"step": 1870
|
| 1335 |
+
},
|
| 1336 |
+
{
|
| 1337 |
+
"epoch": 2.896764252696456,
|
| 1338 |
+
"grad_norm": 1.0946455001831055,
|
| 1339 |
+
"learning_rate": 0.0002,
|
| 1340 |
+
"loss": 0.8779,
|
| 1341 |
+
"step": 1880
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"epoch": 2.9121725731895225,
|
| 1345 |
+
"grad_norm": 0.9993954300880432,
|
| 1346 |
+
"learning_rate": 0.0002,
|
| 1347 |
+
"loss": 0.8775,
|
| 1348 |
+
"step": 1890
|
| 1349 |
+
},
|
| 1350 |
+
{
|
| 1351 |
+
"epoch": 2.9275808936825887,
|
| 1352 |
+
"grad_norm": 1.1941032409667969,
|
| 1353 |
+
"learning_rate": 0.0002,
|
| 1354 |
+
"loss": 0.8004,
|
| 1355 |
+
"step": 1900
|
| 1356 |
+
},
|
| 1357 |
+
{
|
| 1358 |
+
"epoch": 2.942989214175655,
|
| 1359 |
+
"grad_norm": 1.5158019065856934,
|
| 1360 |
+
"learning_rate": 0.0002,
|
| 1361 |
+
"loss": 0.8862,
|
| 1362 |
+
"step": 1910
|
| 1363 |
+
},
|
| 1364 |
+
{
|
| 1365 |
+
"epoch": 2.958397534668721,
|
| 1366 |
+
"grad_norm": 1.4000548124313354,
|
| 1367 |
+
"learning_rate": 0.0002,
|
| 1368 |
+
"loss": 0.9363,
|
| 1369 |
+
"step": 1920
|
| 1370 |
+
},
|
| 1371 |
+
{
|
| 1372 |
+
"epoch": 2.973805855161787,
|
| 1373 |
+
"grad_norm": 0.9906305074691772,
|
| 1374 |
+
"learning_rate": 0.0002,
|
| 1375 |
+
"loss": 0.8666,
|
| 1376 |
+
"step": 1930
|
| 1377 |
+
},
|
| 1378 |
+
{
|
| 1379 |
+
"epoch": 2.989214175654854,
|
| 1380 |
+
"grad_norm": 1.7382938861846924,
|
| 1381 |
+
"learning_rate": 0.0002,
|
| 1382 |
+
"loss": 0.8434,
|
| 1383 |
+
"step": 1940
|
| 1384 |
+
},
|
| 1385 |
+
{
|
| 1386 |
+
"epoch": 3.0,
|
| 1387 |
+
"eval_loss": 1.2514833211898804,
|
| 1388 |
+
"eval_runtime": 119.8709,
|
| 1389 |
+
"eval_samples_per_second": 3.804,
|
| 1390 |
+
"eval_steps_per_second": 0.476,
|
| 1391 |
+
"step": 1947
|
| 1392 |
+
},
|
| 1393 |
+
{
|
| 1394 |
+
"epoch": 3.00462249614792,
|
| 1395 |
+
"grad_norm": 0.9265438318252563,
|
| 1396 |
+
"learning_rate": 0.0002,
|
| 1397 |
+
"loss": 0.8099,
|
| 1398 |
+
"step": 1950
|
| 1399 |
+
},
|
| 1400 |
+
{
|
| 1401 |
+
"epoch": 3.020030816640986,
|
| 1402 |
+
"grad_norm": 1.2885810136795044,
|
| 1403 |
+
"learning_rate": 0.0002,
|
| 1404 |
+
"loss": 0.6058,
|
| 1405 |
+
"step": 1960
|
| 1406 |
+
},
|
| 1407 |
+
{
|
| 1408 |
+
"epoch": 3.0354391371340523,
|
| 1409 |
+
"grad_norm": 1.150202751159668,
|
| 1410 |
+
"learning_rate": 0.0002,
|
| 1411 |
+
"loss": 0.6065,
|
| 1412 |
+
"step": 1970
|
| 1413 |
+
},
|
| 1414 |
+
{
|
| 1415 |
+
"epoch": 3.0508474576271185,
|
| 1416 |
+
"grad_norm": 1.4145002365112305,
|
| 1417 |
+
"learning_rate": 0.0002,
|
| 1418 |
+
"loss": 0.7225,
|
| 1419 |
+
"step": 1980
|
| 1420 |
+
},
|
| 1421 |
+
{
|
| 1422 |
+
"epoch": 3.066255778120185,
|
| 1423 |
+
"grad_norm": 1.3523074388504028,
|
| 1424 |
+
"learning_rate": 0.0002,
|
| 1425 |
+
"loss": 0.6403,
|
| 1426 |
+
"step": 1990
|
| 1427 |
+
},
|
| 1428 |
+
{
|
| 1429 |
+
"epoch": 3.0816640986132513,
|
| 1430 |
+
"grad_norm": 1.4055354595184326,
|
| 1431 |
+
"learning_rate": 0.0002,
|
| 1432 |
+
"loss": 0.6784,
|
| 1433 |
+
"step": 2000
|
| 1434 |
+
},
|
| 1435 |
+
{
|
| 1436 |
+
"epoch": 3.0970724191063175,
|
| 1437 |
+
"grad_norm": 1.3167393207550049,
|
| 1438 |
+
"learning_rate": 0.0002,
|
| 1439 |
+
"loss": 0.617,
|
| 1440 |
+
"step": 2010
|
| 1441 |
+
},
|
| 1442 |
+
{
|
| 1443 |
+
"epoch": 3.1124807395993837,
|
| 1444 |
+
"grad_norm": 0.8515956997871399,
|
| 1445 |
+
"learning_rate": 0.0002,
|
| 1446 |
+
"loss": 0.6228,
|
| 1447 |
+
"step": 2020
|
| 1448 |
+
},
|
| 1449 |
+
{
|
| 1450 |
+
"epoch": 3.12788906009245,
|
| 1451 |
+
"grad_norm": 1.596145510673523,
|
| 1452 |
+
"learning_rate": 0.0002,
|
| 1453 |
+
"loss": 0.722,
|
| 1454 |
+
"step": 2030
|
| 1455 |
+
},
|
| 1456 |
+
{
|
| 1457 |
+
"epoch": 3.143297380585516,
|
| 1458 |
+
"grad_norm": 1.3406099081039429,
|
| 1459 |
+
"learning_rate": 0.0002,
|
| 1460 |
+
"loss": 0.6582,
|
| 1461 |
+
"step": 2040
|
| 1462 |
+
},
|
| 1463 |
+
{
|
| 1464 |
+
"epoch": 3.1587057010785826,
|
| 1465 |
+
"grad_norm": 1.5566312074661255,
|
| 1466 |
+
"learning_rate": 0.0002,
|
| 1467 |
+
"loss": 0.661,
|
| 1468 |
+
"step": 2050
|
| 1469 |
+
},
|
| 1470 |
+
{
|
| 1471 |
+
"epoch": 3.174114021571649,
|
| 1472 |
+
"grad_norm": 1.060834288597107,
|
| 1473 |
+
"learning_rate": 0.0002,
|
| 1474 |
+
"loss": 0.648,
|
| 1475 |
+
"step": 2060
|
| 1476 |
+
},
|
| 1477 |
+
{
|
| 1478 |
+
"epoch": 3.189522342064715,
|
| 1479 |
+
"grad_norm": 1.534487247467041,
|
| 1480 |
+
"learning_rate": 0.0002,
|
| 1481 |
+
"loss": 0.7131,
|
| 1482 |
+
"step": 2070
|
| 1483 |
+
},
|
| 1484 |
+
{
|
| 1485 |
+
"epoch": 3.204930662557781,
|
| 1486 |
+
"grad_norm": 1.4387457370758057,
|
| 1487 |
+
"learning_rate": 0.0002,
|
| 1488 |
+
"loss": 0.6465,
|
| 1489 |
+
"step": 2080
|
| 1490 |
+
},
|
| 1491 |
+
{
|
| 1492 |
+
"epoch": 3.2203389830508473,
|
| 1493 |
+
"grad_norm": 1.6553950309753418,
|
| 1494 |
+
"learning_rate": 0.0002,
|
| 1495 |
+
"loss": 0.651,
|
| 1496 |
+
"step": 2090
|
| 1497 |
+
},
|
| 1498 |
+
{
|
| 1499 |
+
"epoch": 3.2357473035439135,
|
| 1500 |
+
"grad_norm": 1.4905112981796265,
|
| 1501 |
+
"learning_rate": 0.0002,
|
| 1502 |
+
"loss": 0.6329,
|
| 1503 |
+
"step": 2100
|
| 1504 |
+
},
|
| 1505 |
+
{
|
| 1506 |
+
"epoch": 3.25115562403698,
|
| 1507 |
+
"grad_norm": 1.5865840911865234,
|
| 1508 |
+
"learning_rate": 0.0002,
|
| 1509 |
+
"loss": 0.6835,
|
| 1510 |
+
"step": 2110
|
| 1511 |
+
},
|
| 1512 |
+
{
|
| 1513 |
+
"epoch": 3.2665639445300463,
|
| 1514 |
+
"grad_norm": 1.7313302755355835,
|
| 1515 |
+
"learning_rate": 0.0002,
|
| 1516 |
+
"loss": 0.65,
|
| 1517 |
+
"step": 2120
|
| 1518 |
+
},
|
| 1519 |
+
{
|
| 1520 |
+
"epoch": 3.2819722650231125,
|
| 1521 |
+
"grad_norm": 1.3718984127044678,
|
| 1522 |
+
"learning_rate": 0.0002,
|
| 1523 |
+
"loss": 0.6401,
|
| 1524 |
+
"step": 2130
|
| 1525 |
+
},
|
| 1526 |
+
{
|
| 1527 |
+
"epoch": 3.2973805855161786,
|
| 1528 |
+
"grad_norm": 1.4081032276153564,
|
| 1529 |
+
"learning_rate": 0.0002,
|
| 1530 |
+
"loss": 0.6794,
|
| 1531 |
+
"step": 2140
|
| 1532 |
+
},
|
| 1533 |
+
{
|
| 1534 |
+
"epoch": 3.312788906009245,
|
| 1535 |
+
"grad_norm": 1.2884169816970825,
|
| 1536 |
+
"learning_rate": 0.0002,
|
| 1537 |
+
"loss": 0.7119,
|
| 1538 |
+
"step": 2150
|
| 1539 |
+
},
|
| 1540 |
+
{
|
| 1541 |
+
"epoch": 3.3281972265023114,
|
| 1542 |
+
"grad_norm": 1.0338295698165894,
|
| 1543 |
+
"learning_rate": 0.0002,
|
| 1544 |
+
"loss": 0.6476,
|
| 1545 |
+
"step": 2160
|
| 1546 |
+
},
|
| 1547 |
+
{
|
| 1548 |
+
"epoch": 3.3436055469953776,
|
| 1549 |
+
"grad_norm": 1.5023012161254883,
|
| 1550 |
+
"learning_rate": 0.0002,
|
| 1551 |
+
"loss": 0.6544,
|
| 1552 |
+
"step": 2170
|
| 1553 |
+
},
|
| 1554 |
+
{
|
| 1555 |
+
"epoch": 3.3590138674884438,
|
| 1556 |
+
"grad_norm": 1.1718626022338867,
|
| 1557 |
+
"learning_rate": 0.0002,
|
| 1558 |
+
"loss": 0.6606,
|
| 1559 |
+
"step": 2180
|
| 1560 |
+
},
|
| 1561 |
+
{
|
| 1562 |
+
"epoch": 3.37442218798151,
|
| 1563 |
+
"grad_norm": 1.1776877641677856,
|
| 1564 |
+
"learning_rate": 0.0002,
|
| 1565 |
+
"loss": 0.6734,
|
| 1566 |
+
"step": 2190
|
| 1567 |
+
},
|
| 1568 |
+
{
|
| 1569 |
+
"epoch": 3.389830508474576,
|
| 1570 |
+
"grad_norm": 1.1330585479736328,
|
| 1571 |
+
"learning_rate": 0.0002,
|
| 1572 |
+
"loss": 0.6301,
|
| 1573 |
+
"step": 2200
|
| 1574 |
+
},
|
| 1575 |
+
{
|
| 1576 |
+
"epoch": 3.4052388289676427,
|
| 1577 |
+
"grad_norm": 2.024857997894287,
|
| 1578 |
+
"learning_rate": 0.0002,
|
| 1579 |
+
"loss": 0.7051,
|
| 1580 |
+
"step": 2210
|
| 1581 |
+
},
|
| 1582 |
+
{
|
| 1583 |
+
"epoch": 3.420647149460709,
|
| 1584 |
+
"grad_norm": 1.3598058223724365,
|
| 1585 |
+
"learning_rate": 0.0002,
|
| 1586 |
+
"loss": 0.7233,
|
| 1587 |
+
"step": 2220
|
| 1588 |
+
},
|
| 1589 |
+
{
|
| 1590 |
+
"epoch": 3.436055469953775,
|
| 1591 |
+
"grad_norm": 1.3725299835205078,
|
| 1592 |
+
"learning_rate": 0.0002,
|
| 1593 |
+
"loss": 0.6943,
|
| 1594 |
+
"step": 2230
|
| 1595 |
+
},
|
| 1596 |
+
{
|
| 1597 |
+
"epoch": 3.4514637904468413,
|
| 1598 |
+
"grad_norm": 1.1065977811813354,
|
| 1599 |
+
"learning_rate": 0.0002,
|
| 1600 |
+
"loss": 0.6871,
|
| 1601 |
+
"step": 2240
|
| 1602 |
+
},
|
| 1603 |
+
{
|
| 1604 |
+
"epoch": 3.4668721109399074,
|
| 1605 |
+
"grad_norm": 1.5074089765548706,
|
| 1606 |
+
"learning_rate": 0.0002,
|
| 1607 |
+
"loss": 0.6628,
|
| 1608 |
+
"step": 2250
|
| 1609 |
+
},
|
| 1610 |
+
{
|
| 1611 |
+
"epoch": 3.482280431432974,
|
| 1612 |
+
"grad_norm": 1.114187479019165,
|
| 1613 |
+
"learning_rate": 0.0002,
|
| 1614 |
+
"loss": 0.6847,
|
| 1615 |
+
"step": 2260
|
| 1616 |
+
},
|
| 1617 |
+
{
|
| 1618 |
+
"epoch": 3.4976887519260402,
|
| 1619 |
+
"grad_norm": 1.5719729661941528,
|
| 1620 |
+
"learning_rate": 0.0002,
|
| 1621 |
+
"loss": 0.6934,
|
| 1622 |
+
"step": 2270
|
| 1623 |
+
},
|
| 1624 |
+
{
|
| 1625 |
+
"epoch": 3.5130970724191064,
|
| 1626 |
+
"grad_norm": 1.2377736568450928,
|
| 1627 |
+
"learning_rate": 0.0002,
|
| 1628 |
+
"loss": 0.7264,
|
| 1629 |
+
"step": 2280
|
| 1630 |
+
},
|
| 1631 |
+
{
|
| 1632 |
+
"epoch": 3.5285053929121726,
|
| 1633 |
+
"grad_norm": 1.4295454025268555,
|
| 1634 |
+
"learning_rate": 0.0002,
|
| 1635 |
+
"loss": 0.6777,
|
| 1636 |
+
"step": 2290
|
| 1637 |
+
},
|
| 1638 |
+
{
|
| 1639 |
+
"epoch": 3.5439137134052388,
|
| 1640 |
+
"grad_norm": 0.9240845441818237,
|
| 1641 |
+
"learning_rate": 0.0002,
|
| 1642 |
+
"loss": 0.6465,
|
| 1643 |
+
"step": 2300
|
| 1644 |
+
},
|
| 1645 |
+
{
|
| 1646 |
+
"epoch": 3.559322033898305,
|
| 1647 |
+
"grad_norm": 1.5270299911499023,
|
| 1648 |
+
"learning_rate": 0.0002,
|
| 1649 |
+
"loss": 0.6627,
|
| 1650 |
+
"step": 2310
|
| 1651 |
+
},
|
| 1652 |
+
{
|
| 1653 |
+
"epoch": 3.574730354391371,
|
| 1654 |
+
"grad_norm": 1.2820508480072021,
|
| 1655 |
+
"learning_rate": 0.0002,
|
| 1656 |
+
"loss": 0.7018,
|
| 1657 |
+
"step": 2320
|
| 1658 |
+
},
|
| 1659 |
+
{
|
| 1660 |
+
"epoch": 3.5901386748844377,
|
| 1661 |
+
"grad_norm": 1.2932546138763428,
|
| 1662 |
+
"learning_rate": 0.0002,
|
| 1663 |
+
"loss": 0.7225,
|
| 1664 |
+
"step": 2330
|
| 1665 |
+
},
|
| 1666 |
+
{
|
| 1667 |
+
"epoch": 3.605546995377504,
|
| 1668 |
+
"grad_norm": 1.3201853036880493,
|
| 1669 |
+
"learning_rate": 0.0002,
|
| 1670 |
+
"loss": 0.6815,
|
| 1671 |
+
"step": 2340
|
| 1672 |
+
},
|
| 1673 |
+
{
|
| 1674 |
+
"epoch": 3.62095531587057,
|
| 1675 |
+
"grad_norm": 1.7489187717437744,
|
| 1676 |
+
"learning_rate": 0.0002,
|
| 1677 |
+
"loss": 0.6842,
|
| 1678 |
+
"step": 2350
|
| 1679 |
+
},
|
| 1680 |
+
{
|
| 1681 |
+
"epoch": 3.6363636363636362,
|
| 1682 |
+
"grad_norm": 1.2384065389633179,
|
| 1683 |
+
"learning_rate": 0.0002,
|
| 1684 |
+
"loss": 0.7468,
|
| 1685 |
+
"step": 2360
|
| 1686 |
+
},
|
| 1687 |
+
{
|
| 1688 |
+
"epoch": 3.6517719568567024,
|
| 1689 |
+
"grad_norm": 1.0870963335037231,
|
| 1690 |
+
"learning_rate": 0.0002,
|
| 1691 |
+
"loss": 0.6978,
|
| 1692 |
+
"step": 2370
|
| 1693 |
+
},
|
| 1694 |
+
{
|
| 1695 |
+
"epoch": 3.667180277349769,
|
| 1696 |
+
"grad_norm": 1.4325937032699585,
|
| 1697 |
+
"learning_rate": 0.0002,
|
| 1698 |
+
"loss": 0.6214,
|
| 1699 |
+
"step": 2380
|
| 1700 |
+
},
|
| 1701 |
+
{
|
| 1702 |
+
"epoch": 3.682588597842835,
|
| 1703 |
+
"grad_norm": 1.3232696056365967,
|
| 1704 |
+
"learning_rate": 0.0002,
|
| 1705 |
+
"loss": 0.6737,
|
| 1706 |
+
"step": 2390
|
| 1707 |
+
},
|
| 1708 |
+
{
|
| 1709 |
+
"epoch": 3.6979969183359014,
|
| 1710 |
+
"grad_norm": 1.409141182899475,
|
| 1711 |
+
"learning_rate": 0.0002,
|
| 1712 |
+
"loss": 0.6643,
|
| 1713 |
+
"step": 2400
|
| 1714 |
+
},
|
| 1715 |
+
{
|
| 1716 |
+
"epoch": 3.7134052388289676,
|
| 1717 |
+
"grad_norm": 1.4707226753234863,
|
| 1718 |
+
"learning_rate": 0.0002,
|
| 1719 |
+
"loss": 0.7069,
|
| 1720 |
+
"step": 2410
|
| 1721 |
+
},
|
| 1722 |
+
{
|
| 1723 |
+
"epoch": 3.7288135593220337,
|
| 1724 |
+
"grad_norm": 1.3888318538665771,
|
| 1725 |
+
"learning_rate": 0.0002,
|
| 1726 |
+
"loss": 0.678,
|
| 1727 |
+
"step": 2420
|
| 1728 |
+
},
|
| 1729 |
+
{
|
| 1730 |
+
"epoch": 3.7442218798151004,
|
| 1731 |
+
"grad_norm": 1.4682821035385132,
|
| 1732 |
+
"learning_rate": 0.0002,
|
| 1733 |
+
"loss": 0.6718,
|
| 1734 |
+
"step": 2430
|
| 1735 |
+
},
|
| 1736 |
+
{
|
| 1737 |
+
"epoch": 3.7596302003081665,
|
| 1738 |
+
"grad_norm": 1.2217520475387573,
|
| 1739 |
+
"learning_rate": 0.0002,
|
| 1740 |
+
"loss": 0.7593,
|
| 1741 |
+
"step": 2440
|
| 1742 |
+
},
|
| 1743 |
+
{
|
| 1744 |
+
"epoch": 3.7750385208012327,
|
| 1745 |
+
"grad_norm": 1.3346893787384033,
|
| 1746 |
+
"learning_rate": 0.0002,
|
| 1747 |
+
"loss": 0.6912,
|
| 1748 |
+
"step": 2450
|
| 1749 |
+
},
|
| 1750 |
+
{
|
| 1751 |
+
"epoch": 3.790446841294299,
|
| 1752 |
+
"grad_norm": 1.4342081546783447,
|
| 1753 |
+
"learning_rate": 0.0002,
|
| 1754 |
+
"loss": 0.609,
|
| 1755 |
+
"step": 2460
|
| 1756 |
+
},
|
| 1757 |
+
{
|
| 1758 |
+
"epoch": 3.805855161787365,
|
| 1759 |
+
"grad_norm": 1.5921152830123901,
|
| 1760 |
+
"learning_rate": 0.0002,
|
| 1761 |
+
"loss": 0.6985,
|
| 1762 |
+
"step": 2470
|
| 1763 |
+
},
|
| 1764 |
+
{
|
| 1765 |
+
"epoch": 3.8212634822804317,
|
| 1766 |
+
"grad_norm": 1.7322826385498047,
|
| 1767 |
+
"learning_rate": 0.0002,
|
| 1768 |
+
"loss": 0.6751,
|
| 1769 |
+
"step": 2480
|
| 1770 |
+
},
|
| 1771 |
+
{
|
| 1772 |
+
"epoch": 3.836671802773498,
|
| 1773 |
+
"grad_norm": 1.478434681892395,
|
| 1774 |
+
"learning_rate": 0.0002,
|
| 1775 |
+
"loss": 0.6862,
|
| 1776 |
+
"step": 2490
|
| 1777 |
+
},
|
| 1778 |
+
{
|
| 1779 |
+
"epoch": 3.852080123266564,
|
| 1780 |
+
"grad_norm": 1.3945757150650024,
|
| 1781 |
+
"learning_rate": 0.0002,
|
| 1782 |
+
"loss": 0.6983,
|
| 1783 |
+
"step": 2500
|
| 1784 |
+
},
|
| 1785 |
+
{
|
| 1786 |
+
"epoch": 3.86748844375963,
|
| 1787 |
+
"grad_norm": 1.584877848625183,
|
| 1788 |
+
"learning_rate": 0.0002,
|
| 1789 |
+
"loss": 0.7439,
|
| 1790 |
+
"step": 2510
|
| 1791 |
+
},
|
| 1792 |
+
{
|
| 1793 |
+
"epoch": 3.8828967642526964,
|
| 1794 |
+
"grad_norm": 1.6307404041290283,
|
| 1795 |
+
"learning_rate": 0.0002,
|
| 1796 |
+
"loss": 0.7049,
|
| 1797 |
+
"step": 2520
|
| 1798 |
+
},
|
| 1799 |
+
{
|
| 1800 |
+
"epoch": 3.898305084745763,
|
| 1801 |
+
"grad_norm": 1.4129183292388916,
|
| 1802 |
+
"learning_rate": 0.0002,
|
| 1803 |
+
"loss": 0.6823,
|
| 1804 |
+
"step": 2530
|
| 1805 |
+
},
|
| 1806 |
+
{
|
| 1807 |
+
"epoch": 3.9137134052388287,
|
| 1808 |
+
"grad_norm": 1.7380712032318115,
|
| 1809 |
+
"learning_rate": 0.0002,
|
| 1810 |
+
"loss": 0.7092,
|
| 1811 |
+
"step": 2540
|
| 1812 |
+
},
|
| 1813 |
+
{
|
| 1814 |
+
"epoch": 3.9291217257318953,
|
| 1815 |
+
"grad_norm": 1.4169772863388062,
|
| 1816 |
+
"learning_rate": 0.0002,
|
| 1817 |
+
"loss": 0.7277,
|
| 1818 |
+
"step": 2550
|
| 1819 |
+
},
|
| 1820 |
+
{
|
| 1821 |
+
"epoch": 3.9445300462249615,
|
| 1822 |
+
"grad_norm": 2.520665168762207,
|
| 1823 |
+
"learning_rate": 0.0002,
|
| 1824 |
+
"loss": 0.7369,
|
| 1825 |
+
"step": 2560
|
| 1826 |
+
},
|
| 1827 |
+
{
|
| 1828 |
+
"epoch": 3.9599383667180277,
|
| 1829 |
+
"grad_norm": 1.2402763366699219,
|
| 1830 |
+
"learning_rate": 0.0002,
|
| 1831 |
+
"loss": 0.7815,
|
| 1832 |
+
"step": 2570
|
| 1833 |
+
},
|
| 1834 |
+
{
|
| 1835 |
+
"epoch": 3.975346687211094,
|
| 1836 |
+
"grad_norm": 1.5902904272079468,
|
| 1837 |
+
"learning_rate": 0.0002,
|
| 1838 |
+
"loss": 0.8077,
|
| 1839 |
+
"step": 2580
|
| 1840 |
+
},
|
| 1841 |
+
{
|
| 1842 |
+
"epoch": 3.99075500770416,
|
| 1843 |
+
"grad_norm": 2.2361271381378174,
|
| 1844 |
+
"learning_rate": 0.0002,
|
| 1845 |
+
"loss": 0.7272,
|
| 1846 |
+
"step": 2590
|
| 1847 |
+
},
|
| 1848 |
+
{
|
| 1849 |
+
"epoch": 4.0,
|
| 1850 |
+
"eval_loss": 1.324176549911499,
|
| 1851 |
+
"eval_runtime": 119.304,
|
| 1852 |
+
"eval_samples_per_second": 3.822,
|
| 1853 |
+
"eval_steps_per_second": 0.478,
|
| 1854 |
+
"step": 2596
|
| 1855 |
+
}
|
| 1856 |
+
],
|
| 1857 |
+
"logging_steps": 10,
|
| 1858 |
+
"max_steps": 5192,
|
| 1859 |
+
"num_input_tokens_seen": 0,
|
| 1860 |
+
"num_train_epochs": 8,
|
| 1861 |
+
"save_steps": 200,
|
| 1862 |
+
"stateful_callbacks": {
|
| 1863 |
+
"TrainerControl": {
|
| 1864 |
+
"args": {
|
| 1865 |
+
"should_epoch_stop": false,
|
| 1866 |
+
"should_evaluate": false,
|
| 1867 |
+
"should_log": false,
|
| 1868 |
+
"should_save": true,
|
| 1869 |
+
"should_training_stop": false
|
| 1870 |
+
},
|
| 1871 |
+
"attributes": {}
|
| 1872 |
+
}
|
| 1873 |
+
},
|
| 1874 |
+
"total_flos": 1.138987905318912e+17,
|
| 1875 |
+
"train_batch_size": 1,
|
| 1876 |
+
"trial_name": null,
|
| 1877 |
+
"trial_params": null
|
| 1878 |
+
}
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-2596/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7da6f114429a9a993fcd6ed877a996e6a07ac3f427895c4f50ec6990a9e85e69
|
| 3 |
+
size 5560
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-3245/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.3
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.13.1
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-3245/adapter_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 32,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 64,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"v_proj",
|
| 24 |
+
"q_proj"
|
| 25 |
+
],
|
| 26 |
+
"task_type": "CAUSAL_LM",
|
| 27 |
+
"use_dora": false,
|
| 28 |
+
"use_rslora": false
|
| 29 |
+
}
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-3245/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a8376e6e852b7a35775bba9f9cd253c6c6f96a59156be0bf4c000538317cc0f1
|
| 3 |
+
size 109069176
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-3245/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2715435ab6c945a12d58e85524c47e8057658981a8747ff049d1d279f6e69bb4
|
| 3 |
+
size 55532666
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-3245/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8807b75eef001623ea445effcb3a4d71a34cccbc985a8af64b260a098158c92f
|
| 3 |
+
size 14244
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-3245/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:43c37addf4b9e6833afbd9789c9c585b9832ff3d163740236c8ce47c5bdb61ee
|
| 3 |
+
size 1064
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-3245/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-3245/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-3245/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
| 3 |
+
size 587404
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-3245/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-3245/trainer_state.json
ADDED
|
@@ -0,0 +1,2341 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 1.212496042251587,
|
| 3 |
+
"best_model_checkpoint": "outputs-001/Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.4-num-3923-sd-1/checkpoint-649",
|
| 4 |
+
"epoch": 5.0,
|
| 5 |
+
"eval_steps": 10,
|
| 6 |
+
"global_step": 3245,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.015408320493066256,
|
| 13 |
+
"grad_norm": 0.939333975315094,
|
| 14 |
+
"learning_rate": 0.0002,
|
| 15 |
+
"loss": 1.9609,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.030816640986132512,
|
| 20 |
+
"grad_norm": 0.9446700215339661,
|
| 21 |
+
"learning_rate": 0.0002,
|
| 22 |
+
"loss": 1.5975,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.046224961479198766,
|
| 27 |
+
"grad_norm": 0.7268466353416443,
|
| 28 |
+
"learning_rate": 0.0002,
|
| 29 |
+
"loss": 1.5196,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.061633281972265024,
|
| 34 |
+
"grad_norm": 0.8900066018104553,
|
| 35 |
+
"learning_rate": 0.0002,
|
| 36 |
+
"loss": 1.5021,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.07704160246533127,
|
| 41 |
+
"grad_norm": 4.246077060699463,
|
| 42 |
+
"learning_rate": 0.0002,
|
| 43 |
+
"loss": 1.4155,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.09244992295839753,
|
| 48 |
+
"grad_norm": 0.7887561321258545,
|
| 49 |
+
"learning_rate": 0.0002,
|
| 50 |
+
"loss": 1.4052,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.10785824345146379,
|
| 55 |
+
"grad_norm": 0.6822794675827026,
|
| 56 |
+
"learning_rate": 0.0002,
|
| 57 |
+
"loss": 1.215,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.12326656394453005,
|
| 62 |
+
"grad_norm": 0.8871720433235168,
|
| 63 |
+
"learning_rate": 0.0002,
|
| 64 |
+
"loss": 1.2524,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.1386748844375963,
|
| 69 |
+
"grad_norm": 0.6524078249931335,
|
| 70 |
+
"learning_rate": 0.0002,
|
| 71 |
+
"loss": 1.191,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.15408320493066255,
|
| 76 |
+
"grad_norm": 0.5519863367080688,
|
| 77 |
+
"learning_rate": 0.0002,
|
| 78 |
+
"loss": 1.2455,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.1694915254237288,
|
| 83 |
+
"grad_norm": 0.6716212630271912,
|
| 84 |
+
"learning_rate": 0.0002,
|
| 85 |
+
"loss": 1.2515,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.18489984591679506,
|
| 90 |
+
"grad_norm": 1.527921199798584,
|
| 91 |
+
"learning_rate": 0.0002,
|
| 92 |
+
"loss": 1.2239,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.20030816640986132,
|
| 97 |
+
"grad_norm": 0.6893861293792725,
|
| 98 |
+
"learning_rate": 0.0002,
|
| 99 |
+
"loss": 1.2887,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.21571648690292758,
|
| 104 |
+
"grad_norm": 0.5514246821403503,
|
| 105 |
+
"learning_rate": 0.0002,
|
| 106 |
+
"loss": 1.1722,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.23112480739599384,
|
| 111 |
+
"grad_norm": 0.5830065608024597,
|
| 112 |
+
"learning_rate": 0.0002,
|
| 113 |
+
"loss": 1.1946,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.2465331278890601,
|
| 118 |
+
"grad_norm": 0.7411216497421265,
|
| 119 |
+
"learning_rate": 0.0002,
|
| 120 |
+
"loss": 1.3105,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.26194144838212635,
|
| 125 |
+
"grad_norm": 0.7470705509185791,
|
| 126 |
+
"learning_rate": 0.0002,
|
| 127 |
+
"loss": 1.2008,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.2773497688751926,
|
| 132 |
+
"grad_norm": 0.6140725016593933,
|
| 133 |
+
"learning_rate": 0.0002,
|
| 134 |
+
"loss": 1.2497,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.29275808936825887,
|
| 139 |
+
"grad_norm": 0.7563071250915527,
|
| 140 |
+
"learning_rate": 0.0002,
|
| 141 |
+
"loss": 1.1514,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.3081664098613251,
|
| 146 |
+
"grad_norm": 0.5491266250610352,
|
| 147 |
+
"learning_rate": 0.0002,
|
| 148 |
+
"loss": 1.2703,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.3235747303543914,
|
| 153 |
+
"grad_norm": 0.5403220057487488,
|
| 154 |
+
"learning_rate": 0.0002,
|
| 155 |
+
"loss": 1.2168,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.3389830508474576,
|
| 160 |
+
"grad_norm": 0.9616869688034058,
|
| 161 |
+
"learning_rate": 0.0002,
|
| 162 |
+
"loss": 1.2409,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.3543913713405239,
|
| 167 |
+
"grad_norm": 0.5448639988899231,
|
| 168 |
+
"learning_rate": 0.0002,
|
| 169 |
+
"loss": 1.3112,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.3697996918335901,
|
| 174 |
+
"grad_norm": 0.6322043538093567,
|
| 175 |
+
"learning_rate": 0.0002,
|
| 176 |
+
"loss": 1.3023,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.3852080123266564,
|
| 181 |
+
"grad_norm": 0.5178093314170837,
|
| 182 |
+
"learning_rate": 0.0002,
|
| 183 |
+
"loss": 1.2382,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.40061633281972264,
|
| 188 |
+
"grad_norm": 0.6274669766426086,
|
| 189 |
+
"learning_rate": 0.0002,
|
| 190 |
+
"loss": 1.2755,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.41602465331278893,
|
| 195 |
+
"grad_norm": 1.1093109846115112,
|
| 196 |
+
"learning_rate": 0.0002,
|
| 197 |
+
"loss": 1.3263,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.43143297380585516,
|
| 202 |
+
"grad_norm": 1.8002032041549683,
|
| 203 |
+
"learning_rate": 0.0002,
|
| 204 |
+
"loss": 1.2201,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.44684129429892144,
|
| 209 |
+
"grad_norm": 0.5977614521980286,
|
| 210 |
+
"learning_rate": 0.0002,
|
| 211 |
+
"loss": 1.2335,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.4622496147919877,
|
| 216 |
+
"grad_norm": 0.5583769083023071,
|
| 217 |
+
"learning_rate": 0.0002,
|
| 218 |
+
"loss": 1.2076,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.4776579352850539,
|
| 223 |
+
"grad_norm": 0.5563502311706543,
|
| 224 |
+
"learning_rate": 0.0002,
|
| 225 |
+
"loss": 1.197,
|
| 226 |
+
"step": 310
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.4930662557781202,
|
| 230 |
+
"grad_norm": 0.9157887101173401,
|
| 231 |
+
"learning_rate": 0.0002,
|
| 232 |
+
"loss": 1.164,
|
| 233 |
+
"step": 320
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.5084745762711864,
|
| 237 |
+
"grad_norm": 0.551705539226532,
|
| 238 |
+
"learning_rate": 0.0002,
|
| 239 |
+
"loss": 1.1266,
|
| 240 |
+
"step": 330
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.5238828967642527,
|
| 244 |
+
"grad_norm": 9.011388778686523,
|
| 245 |
+
"learning_rate": 0.0002,
|
| 246 |
+
"loss": 1.2801,
|
| 247 |
+
"step": 340
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.539291217257319,
|
| 251 |
+
"grad_norm": 0.6527810096740723,
|
| 252 |
+
"learning_rate": 0.0002,
|
| 253 |
+
"loss": 1.2024,
|
| 254 |
+
"step": 350
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.5546995377503852,
|
| 258 |
+
"grad_norm": 1.3121646642684937,
|
| 259 |
+
"learning_rate": 0.0002,
|
| 260 |
+
"loss": 1.1424,
|
| 261 |
+
"step": 360
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.5701078582434514,
|
| 265 |
+
"grad_norm": 0.7247968316078186,
|
| 266 |
+
"learning_rate": 0.0002,
|
| 267 |
+
"loss": 1.2555,
|
| 268 |
+
"step": 370
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.5855161787365177,
|
| 272 |
+
"grad_norm": 0.5430527925491333,
|
| 273 |
+
"learning_rate": 0.0002,
|
| 274 |
+
"loss": 1.196,
|
| 275 |
+
"step": 380
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.600924499229584,
|
| 279 |
+
"grad_norm": 0.6050328612327576,
|
| 280 |
+
"learning_rate": 0.0002,
|
| 281 |
+
"loss": 1.1822,
|
| 282 |
+
"step": 390
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.6163328197226502,
|
| 286 |
+
"grad_norm": 0.49382615089416504,
|
| 287 |
+
"learning_rate": 0.0002,
|
| 288 |
+
"loss": 1.2754,
|
| 289 |
+
"step": 400
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.6317411402157165,
|
| 293 |
+
"grad_norm": 0.5804041624069214,
|
| 294 |
+
"learning_rate": 0.0002,
|
| 295 |
+
"loss": 1.2595,
|
| 296 |
+
"step": 410
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.6471494607087828,
|
| 300 |
+
"grad_norm": 0.524357259273529,
|
| 301 |
+
"learning_rate": 0.0002,
|
| 302 |
+
"loss": 1.2926,
|
| 303 |
+
"step": 420
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.662557781201849,
|
| 307 |
+
"grad_norm": 1.8817486763000488,
|
| 308 |
+
"learning_rate": 0.0002,
|
| 309 |
+
"loss": 1.1928,
|
| 310 |
+
"step": 430
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.6779661016949152,
|
| 314 |
+
"grad_norm": 0.6104950308799744,
|
| 315 |
+
"learning_rate": 0.0002,
|
| 316 |
+
"loss": 1.2103,
|
| 317 |
+
"step": 440
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.6933744221879815,
|
| 321 |
+
"grad_norm": 0.631179928779602,
|
| 322 |
+
"learning_rate": 0.0002,
|
| 323 |
+
"loss": 1.2296,
|
| 324 |
+
"step": 450
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.7087827426810478,
|
| 328 |
+
"grad_norm": 0.6562483310699463,
|
| 329 |
+
"learning_rate": 0.0002,
|
| 330 |
+
"loss": 1.1843,
|
| 331 |
+
"step": 460
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.724191063174114,
|
| 335 |
+
"grad_norm": 0.578336775302887,
|
| 336 |
+
"learning_rate": 0.0002,
|
| 337 |
+
"loss": 1.2424,
|
| 338 |
+
"step": 470
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.7395993836671803,
|
| 342 |
+
"grad_norm": 0.8468874096870422,
|
| 343 |
+
"learning_rate": 0.0002,
|
| 344 |
+
"loss": 1.192,
|
| 345 |
+
"step": 480
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.7550077041602465,
|
| 349 |
+
"grad_norm": 0.7162539958953857,
|
| 350 |
+
"learning_rate": 0.0002,
|
| 351 |
+
"loss": 1.2913,
|
| 352 |
+
"step": 490
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.7704160246533128,
|
| 356 |
+
"grad_norm": 0.7655543684959412,
|
| 357 |
+
"learning_rate": 0.0002,
|
| 358 |
+
"loss": 1.2158,
|
| 359 |
+
"step": 500
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.785824345146379,
|
| 363 |
+
"grad_norm": 0.5711562037467957,
|
| 364 |
+
"learning_rate": 0.0002,
|
| 365 |
+
"loss": 1.2637,
|
| 366 |
+
"step": 510
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.8012326656394453,
|
| 370 |
+
"grad_norm": 0.7273485660552979,
|
| 371 |
+
"learning_rate": 0.0002,
|
| 372 |
+
"loss": 1.1277,
|
| 373 |
+
"step": 520
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.8166409861325116,
|
| 377 |
+
"grad_norm": 0.47050145268440247,
|
| 378 |
+
"learning_rate": 0.0002,
|
| 379 |
+
"loss": 1.188,
|
| 380 |
+
"step": 530
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.8320493066255779,
|
| 384 |
+
"grad_norm": 0.4930959939956665,
|
| 385 |
+
"learning_rate": 0.0002,
|
| 386 |
+
"loss": 1.1462,
|
| 387 |
+
"step": 540
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.847457627118644,
|
| 391 |
+
"grad_norm": 0.553955614566803,
|
| 392 |
+
"learning_rate": 0.0002,
|
| 393 |
+
"loss": 1.167,
|
| 394 |
+
"step": 550
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.8628659476117103,
|
| 398 |
+
"grad_norm": 0.6495056748390198,
|
| 399 |
+
"learning_rate": 0.0002,
|
| 400 |
+
"loss": 1.1831,
|
| 401 |
+
"step": 560
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.8782742681047766,
|
| 405 |
+
"grad_norm": 0.4586578905582428,
|
| 406 |
+
"learning_rate": 0.0002,
|
| 407 |
+
"loss": 1.0984,
|
| 408 |
+
"step": 570
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.8936825885978429,
|
| 412 |
+
"grad_norm": 0.4870392680168152,
|
| 413 |
+
"learning_rate": 0.0002,
|
| 414 |
+
"loss": 1.2415,
|
| 415 |
+
"step": 580
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.9090909090909091,
|
| 419 |
+
"grad_norm": 0.6337013244628906,
|
| 420 |
+
"learning_rate": 0.0002,
|
| 421 |
+
"loss": 1.1735,
|
| 422 |
+
"step": 590
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.9244992295839753,
|
| 426 |
+
"grad_norm": 0.7260186672210693,
|
| 427 |
+
"learning_rate": 0.0002,
|
| 428 |
+
"loss": 1.1781,
|
| 429 |
+
"step": 600
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.9399075500770416,
|
| 433 |
+
"grad_norm": 1.4133737087249756,
|
| 434 |
+
"learning_rate": 0.0002,
|
| 435 |
+
"loss": 1.2536,
|
| 436 |
+
"step": 610
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.9553158705701078,
|
| 440 |
+
"grad_norm": 0.573525071144104,
|
| 441 |
+
"learning_rate": 0.0002,
|
| 442 |
+
"loss": 1.2211,
|
| 443 |
+
"step": 620
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.9707241910631741,
|
| 447 |
+
"grad_norm": 0.8403644561767578,
|
| 448 |
+
"learning_rate": 0.0002,
|
| 449 |
+
"loss": 1.11,
|
| 450 |
+
"step": 630
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.9861325115562404,
|
| 454 |
+
"grad_norm": 0.7665438055992126,
|
| 455 |
+
"learning_rate": 0.0002,
|
| 456 |
+
"loss": 1.2932,
|
| 457 |
+
"step": 640
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 1.0,
|
| 461 |
+
"eval_loss": 1.212496042251587,
|
| 462 |
+
"eval_runtime": 120.3264,
|
| 463 |
+
"eval_samples_per_second": 3.79,
|
| 464 |
+
"eval_steps_per_second": 0.474,
|
| 465 |
+
"step": 649
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 1.0015408320493067,
|
| 469 |
+
"grad_norm": 0.6874801516532898,
|
| 470 |
+
"learning_rate": 0.0002,
|
| 471 |
+
"loss": 1.176,
|
| 472 |
+
"step": 650
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 1.0169491525423728,
|
| 476 |
+
"grad_norm": 0.6675221920013428,
|
| 477 |
+
"learning_rate": 0.0002,
|
| 478 |
+
"loss": 1.0957,
|
| 479 |
+
"step": 660
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 1.0323574730354392,
|
| 483 |
+
"grad_norm": 0.6837265491485596,
|
| 484 |
+
"learning_rate": 0.0002,
|
| 485 |
+
"loss": 1.1616,
|
| 486 |
+
"step": 670
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 1.0477657935285054,
|
| 490 |
+
"grad_norm": 0.6796931028366089,
|
| 491 |
+
"learning_rate": 0.0002,
|
| 492 |
+
"loss": 1.045,
|
| 493 |
+
"step": 680
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 1.0631741140215716,
|
| 497 |
+
"grad_norm": 0.6596675515174866,
|
| 498 |
+
"learning_rate": 0.0002,
|
| 499 |
+
"loss": 1.0889,
|
| 500 |
+
"step": 690
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 1.078582434514638,
|
| 504 |
+
"grad_norm": 0.6630653142929077,
|
| 505 |
+
"learning_rate": 0.0002,
|
| 506 |
+
"loss": 1.067,
|
| 507 |
+
"step": 700
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 1.0939907550077042,
|
| 511 |
+
"grad_norm": 0.7065498232841492,
|
| 512 |
+
"learning_rate": 0.0002,
|
| 513 |
+
"loss": 1.0222,
|
| 514 |
+
"step": 710
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 1.1093990755007703,
|
| 518 |
+
"grad_norm": 0.694682240486145,
|
| 519 |
+
"learning_rate": 0.0002,
|
| 520 |
+
"loss": 1.081,
|
| 521 |
+
"step": 720
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 1.1248073959938367,
|
| 525 |
+
"grad_norm": 0.8984217047691345,
|
| 526 |
+
"learning_rate": 0.0002,
|
| 527 |
+
"loss": 1.1019,
|
| 528 |
+
"step": 730
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 1.140215716486903,
|
| 532 |
+
"grad_norm": 1.0035051107406616,
|
| 533 |
+
"learning_rate": 0.0002,
|
| 534 |
+
"loss": 1.0506,
|
| 535 |
+
"step": 740
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 1.1556240369799693,
|
| 539 |
+
"grad_norm": 0.8646948933601379,
|
| 540 |
+
"learning_rate": 0.0002,
|
| 541 |
+
"loss": 1.0502,
|
| 542 |
+
"step": 750
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 1.1710323574730355,
|
| 546 |
+
"grad_norm": 0.6287558674812317,
|
| 547 |
+
"learning_rate": 0.0002,
|
| 548 |
+
"loss": 1.0256,
|
| 549 |
+
"step": 760
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 1.1864406779661016,
|
| 553 |
+
"grad_norm": 0.6975560784339905,
|
| 554 |
+
"learning_rate": 0.0002,
|
| 555 |
+
"loss": 1.051,
|
| 556 |
+
"step": 770
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 1.201848998459168,
|
| 560 |
+
"grad_norm": 0.5972192883491516,
|
| 561 |
+
"learning_rate": 0.0002,
|
| 562 |
+
"loss": 1.0409,
|
| 563 |
+
"step": 780
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 1.2172573189522342,
|
| 567 |
+
"grad_norm": 0.7299932241439819,
|
| 568 |
+
"learning_rate": 0.0002,
|
| 569 |
+
"loss": 1.0837,
|
| 570 |
+
"step": 790
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 1.2326656394453004,
|
| 574 |
+
"grad_norm": 0.8376814126968384,
|
| 575 |
+
"learning_rate": 0.0002,
|
| 576 |
+
"loss": 1.1291,
|
| 577 |
+
"step": 800
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 1.2480739599383668,
|
| 581 |
+
"grad_norm": 1.117690086364746,
|
| 582 |
+
"learning_rate": 0.0002,
|
| 583 |
+
"loss": 1.0809,
|
| 584 |
+
"step": 810
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 1.263482280431433,
|
| 588 |
+
"grad_norm": 0.7850839495658875,
|
| 589 |
+
"learning_rate": 0.0002,
|
| 590 |
+
"loss": 1.0762,
|
| 591 |
+
"step": 820
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 1.2788906009244991,
|
| 595 |
+
"grad_norm": 0.7941734790802002,
|
| 596 |
+
"learning_rate": 0.0002,
|
| 597 |
+
"loss": 1.2278,
|
| 598 |
+
"step": 830
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 1.2942989214175655,
|
| 602 |
+
"grad_norm": 0.5682743787765503,
|
| 603 |
+
"learning_rate": 0.0002,
|
| 604 |
+
"loss": 0.9723,
|
| 605 |
+
"step": 840
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 1.3097072419106317,
|
| 609 |
+
"grad_norm": 0.7182576060295105,
|
| 610 |
+
"learning_rate": 0.0002,
|
| 611 |
+
"loss": 1.0262,
|
| 612 |
+
"step": 850
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 1.325115562403698,
|
| 616 |
+
"grad_norm": 0.7436819672584534,
|
| 617 |
+
"learning_rate": 0.0002,
|
| 618 |
+
"loss": 1.0801,
|
| 619 |
+
"step": 860
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 1.3405238828967643,
|
| 623 |
+
"grad_norm": 0.7665132880210876,
|
| 624 |
+
"learning_rate": 0.0002,
|
| 625 |
+
"loss": 1.0705,
|
| 626 |
+
"step": 870
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 1.3559322033898304,
|
| 630 |
+
"grad_norm": 1.060669183731079,
|
| 631 |
+
"learning_rate": 0.0002,
|
| 632 |
+
"loss": 1.1925,
|
| 633 |
+
"step": 880
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 1.3713405238828968,
|
| 637 |
+
"grad_norm": 0.6262772083282471,
|
| 638 |
+
"learning_rate": 0.0002,
|
| 639 |
+
"loss": 1.0581,
|
| 640 |
+
"step": 890
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 1.386748844375963,
|
| 644 |
+
"grad_norm": 1.010703682899475,
|
| 645 |
+
"learning_rate": 0.0002,
|
| 646 |
+
"loss": 1.0934,
|
| 647 |
+
"step": 900
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 1.4021571648690292,
|
| 651 |
+
"grad_norm": 0.5669811367988586,
|
| 652 |
+
"learning_rate": 0.0002,
|
| 653 |
+
"loss": 1.111,
|
| 654 |
+
"step": 910
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 1.4175654853620956,
|
| 658 |
+
"grad_norm": 0.8644649386405945,
|
| 659 |
+
"learning_rate": 0.0002,
|
| 660 |
+
"loss": 1.0638,
|
| 661 |
+
"step": 920
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 1.4329738058551618,
|
| 665 |
+
"grad_norm": 0.6250067949295044,
|
| 666 |
+
"learning_rate": 0.0002,
|
| 667 |
+
"loss": 1.1973,
|
| 668 |
+
"step": 930
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 1.448382126348228,
|
| 672 |
+
"grad_norm": 0.6507946848869324,
|
| 673 |
+
"learning_rate": 0.0002,
|
| 674 |
+
"loss": 1.0592,
|
| 675 |
+
"step": 940
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 1.4637904468412943,
|
| 679 |
+
"grad_norm": 0.9305022954940796,
|
| 680 |
+
"learning_rate": 0.0002,
|
| 681 |
+
"loss": 1.0306,
|
| 682 |
+
"step": 950
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 1.4791987673343605,
|
| 686 |
+
"grad_norm": 0.86021888256073,
|
| 687 |
+
"learning_rate": 0.0002,
|
| 688 |
+
"loss": 0.9792,
|
| 689 |
+
"step": 960
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 1.494607087827427,
|
| 693 |
+
"grad_norm": 1.1122219562530518,
|
| 694 |
+
"learning_rate": 0.0002,
|
| 695 |
+
"loss": 1.0656,
|
| 696 |
+
"step": 970
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 1.510015408320493,
|
| 700 |
+
"grad_norm": 0.7431066036224365,
|
| 701 |
+
"learning_rate": 0.0002,
|
| 702 |
+
"loss": 1.0745,
|
| 703 |
+
"step": 980
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 1.5254237288135593,
|
| 707 |
+
"grad_norm": 1.022744059562683,
|
| 708 |
+
"learning_rate": 0.0002,
|
| 709 |
+
"loss": 1.0822,
|
| 710 |
+
"step": 990
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 1.5408320493066254,
|
| 714 |
+
"grad_norm": 0.6638363599777222,
|
| 715 |
+
"learning_rate": 0.0002,
|
| 716 |
+
"loss": 1.0689,
|
| 717 |
+
"step": 1000
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 1.5562403697996918,
|
| 721 |
+
"grad_norm": 0.6290505528450012,
|
| 722 |
+
"learning_rate": 0.0002,
|
| 723 |
+
"loss": 1.1032,
|
| 724 |
+
"step": 1010
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 1.5716486902927582,
|
| 728 |
+
"grad_norm": 0.6446037888526917,
|
| 729 |
+
"learning_rate": 0.0002,
|
| 730 |
+
"loss": 1.0572,
|
| 731 |
+
"step": 1020
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 1.5870570107858244,
|
| 735 |
+
"grad_norm": 0.7383618354797363,
|
| 736 |
+
"learning_rate": 0.0002,
|
| 737 |
+
"loss": 1.0814,
|
| 738 |
+
"step": 1030
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 1.6024653312788906,
|
| 742 |
+
"grad_norm": 3.5893094539642334,
|
| 743 |
+
"learning_rate": 0.0002,
|
| 744 |
+
"loss": 1.0643,
|
| 745 |
+
"step": 1040
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 1.6178736517719567,
|
| 749 |
+
"grad_norm": 0.7388538718223572,
|
| 750 |
+
"learning_rate": 0.0002,
|
| 751 |
+
"loss": 0.9806,
|
| 752 |
+
"step": 1050
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 1.6332819722650231,
|
| 756 |
+
"grad_norm": 0.7813242077827454,
|
| 757 |
+
"learning_rate": 0.0002,
|
| 758 |
+
"loss": 1.1,
|
| 759 |
+
"step": 1060
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 1.6486902927580893,
|
| 763 |
+
"grad_norm": 0.6643418669700623,
|
| 764 |
+
"learning_rate": 0.0002,
|
| 765 |
+
"loss": 1.0463,
|
| 766 |
+
"step": 1070
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 1.6640986132511557,
|
| 770 |
+
"grad_norm": 0.7817712426185608,
|
| 771 |
+
"learning_rate": 0.0002,
|
| 772 |
+
"loss": 1.0344,
|
| 773 |
+
"step": 1080
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 1.6795069337442219,
|
| 777 |
+
"grad_norm": 0.8741177916526794,
|
| 778 |
+
"learning_rate": 0.0002,
|
| 779 |
+
"loss": 1.0447,
|
| 780 |
+
"step": 1090
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 1.694915254237288,
|
| 784 |
+
"grad_norm": 0.969813883304596,
|
| 785 |
+
"learning_rate": 0.0002,
|
| 786 |
+
"loss": 1.0724,
|
| 787 |
+
"step": 1100
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 1.7103235747303542,
|
| 791 |
+
"grad_norm": 0.7666333913803101,
|
| 792 |
+
"learning_rate": 0.0002,
|
| 793 |
+
"loss": 0.9887,
|
| 794 |
+
"step": 1110
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 1.7257318952234206,
|
| 798 |
+
"grad_norm": 0.789859414100647,
|
| 799 |
+
"learning_rate": 0.0002,
|
| 800 |
+
"loss": 0.9159,
|
| 801 |
+
"step": 1120
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 1.741140215716487,
|
| 805 |
+
"grad_norm": 0.7018347382545471,
|
| 806 |
+
"learning_rate": 0.0002,
|
| 807 |
+
"loss": 1.0679,
|
| 808 |
+
"step": 1130
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 1.7565485362095532,
|
| 812 |
+
"grad_norm": 0.8899882435798645,
|
| 813 |
+
"learning_rate": 0.0002,
|
| 814 |
+
"loss": 1.1429,
|
| 815 |
+
"step": 1140
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 1.7719568567026194,
|
| 819 |
+
"grad_norm": 0.7738426923751831,
|
| 820 |
+
"learning_rate": 0.0002,
|
| 821 |
+
"loss": 0.9214,
|
| 822 |
+
"step": 1150
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 1.7873651771956856,
|
| 826 |
+
"grad_norm": 1.032209873199463,
|
| 827 |
+
"learning_rate": 0.0002,
|
| 828 |
+
"loss": 1.0733,
|
| 829 |
+
"step": 1160
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 1.802773497688752,
|
| 833 |
+
"grad_norm": 0.7310711741447449,
|
| 834 |
+
"learning_rate": 0.0002,
|
| 835 |
+
"loss": 1.0522,
|
| 836 |
+
"step": 1170
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 1.8181818181818183,
|
| 840 |
+
"grad_norm": 0.8506733775138855,
|
| 841 |
+
"learning_rate": 0.0002,
|
| 842 |
+
"loss": 1.0943,
|
| 843 |
+
"step": 1180
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 1.8335901386748845,
|
| 847 |
+
"grad_norm": 116.00221252441406,
|
| 848 |
+
"learning_rate": 0.0002,
|
| 849 |
+
"loss": 1.1349,
|
| 850 |
+
"step": 1190
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 1.8489984591679507,
|
| 854 |
+
"grad_norm": 0.8819684982299805,
|
| 855 |
+
"learning_rate": 0.0002,
|
| 856 |
+
"loss": 1.0595,
|
| 857 |
+
"step": 1200
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 1.8644067796610169,
|
| 861 |
+
"grad_norm": 0.8846774697303772,
|
| 862 |
+
"learning_rate": 0.0002,
|
| 863 |
+
"loss": 0.995,
|
| 864 |
+
"step": 1210
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 1.879815100154083,
|
| 868 |
+
"grad_norm": 1.6417866945266724,
|
| 869 |
+
"learning_rate": 0.0002,
|
| 870 |
+
"loss": 1.116,
|
| 871 |
+
"step": 1220
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 1.8952234206471494,
|
| 875 |
+
"grad_norm": 1.1875122785568237,
|
| 876 |
+
"learning_rate": 0.0002,
|
| 877 |
+
"loss": 1.044,
|
| 878 |
+
"step": 1230
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 1.9106317411402158,
|
| 882 |
+
"grad_norm": 0.6520240306854248,
|
| 883 |
+
"learning_rate": 0.0002,
|
| 884 |
+
"loss": 1.0322,
|
| 885 |
+
"step": 1240
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 1.926040061633282,
|
| 889 |
+
"grad_norm": 0.9059738516807556,
|
| 890 |
+
"learning_rate": 0.0002,
|
| 891 |
+
"loss": 1.0175,
|
| 892 |
+
"step": 1250
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 1.9414483821263482,
|
| 896 |
+
"grad_norm": 0.7950983643531799,
|
| 897 |
+
"learning_rate": 0.0002,
|
| 898 |
+
"loss": 1.1097,
|
| 899 |
+
"step": 1260
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 1.9568567026194144,
|
| 903 |
+
"grad_norm": 0.6911653280258179,
|
| 904 |
+
"learning_rate": 0.0002,
|
| 905 |
+
"loss": 1.0313,
|
| 906 |
+
"step": 1270
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 1.9722650231124808,
|
| 910 |
+
"grad_norm": 0.9487978219985962,
|
| 911 |
+
"learning_rate": 0.0002,
|
| 912 |
+
"loss": 1.0762,
|
| 913 |
+
"step": 1280
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 1.9876733436055471,
|
| 917 |
+
"grad_norm": 0.716439425945282,
|
| 918 |
+
"learning_rate": 0.0002,
|
| 919 |
+
"loss": 1.1608,
|
| 920 |
+
"step": 1290
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 2.0,
|
| 924 |
+
"eval_loss": 1.215390682220459,
|
| 925 |
+
"eval_runtime": 120.3893,
|
| 926 |
+
"eval_samples_per_second": 3.788,
|
| 927 |
+
"eval_steps_per_second": 0.473,
|
| 928 |
+
"step": 1298
|
| 929 |
+
},
|
| 930 |
+
{
|
| 931 |
+
"epoch": 2.0030816640986133,
|
| 932 |
+
"grad_norm": 0.7292942404747009,
|
| 933 |
+
"learning_rate": 0.0002,
|
| 934 |
+
"loss": 1.0205,
|
| 935 |
+
"step": 1300
|
| 936 |
+
},
|
| 937 |
+
{
|
| 938 |
+
"epoch": 2.0184899845916795,
|
| 939 |
+
"grad_norm": 0.8386905789375305,
|
| 940 |
+
"learning_rate": 0.0002,
|
| 941 |
+
"loss": 0.8264,
|
| 942 |
+
"step": 1310
|
| 943 |
+
},
|
| 944 |
+
{
|
| 945 |
+
"epoch": 2.0338983050847457,
|
| 946 |
+
"grad_norm": 1.114105224609375,
|
| 947 |
+
"learning_rate": 0.0002,
|
| 948 |
+
"loss": 0.7925,
|
| 949 |
+
"step": 1320
|
| 950 |
+
},
|
| 951 |
+
{
|
| 952 |
+
"epoch": 2.049306625577812,
|
| 953 |
+
"grad_norm": 1.068211317062378,
|
| 954 |
+
"learning_rate": 0.0002,
|
| 955 |
+
"loss": 0.8673,
|
| 956 |
+
"step": 1330
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 2.0647149460708785,
|
| 960 |
+
"grad_norm": 0.8620569109916687,
|
| 961 |
+
"learning_rate": 0.0002,
|
| 962 |
+
"loss": 0.8883,
|
| 963 |
+
"step": 1340
|
| 964 |
+
},
|
| 965 |
+
{
|
| 966 |
+
"epoch": 2.0801232665639446,
|
| 967 |
+
"grad_norm": 0.8984315991401672,
|
| 968 |
+
"learning_rate": 0.0002,
|
| 969 |
+
"loss": 0.8949,
|
| 970 |
+
"step": 1350
|
| 971 |
+
},
|
| 972 |
+
{
|
| 973 |
+
"epoch": 2.095531587057011,
|
| 974 |
+
"grad_norm": 1.0469365119934082,
|
| 975 |
+
"learning_rate": 0.0002,
|
| 976 |
+
"loss": 0.8992,
|
| 977 |
+
"step": 1360
|
| 978 |
+
},
|
| 979 |
+
{
|
| 980 |
+
"epoch": 2.110939907550077,
|
| 981 |
+
"grad_norm": 0.9392943978309631,
|
| 982 |
+
"learning_rate": 0.0002,
|
| 983 |
+
"loss": 0.8053,
|
| 984 |
+
"step": 1370
|
| 985 |
+
},
|
| 986 |
+
{
|
| 987 |
+
"epoch": 2.126348228043143,
|
| 988 |
+
"grad_norm": 1.2067331075668335,
|
| 989 |
+
"learning_rate": 0.0002,
|
| 990 |
+
"loss": 0.8791,
|
| 991 |
+
"step": 1380
|
| 992 |
+
},
|
| 993 |
+
{
|
| 994 |
+
"epoch": 2.1417565485362093,
|
| 995 |
+
"grad_norm": 0.8019351363182068,
|
| 996 |
+
"learning_rate": 0.0002,
|
| 997 |
+
"loss": 0.7925,
|
| 998 |
+
"step": 1390
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 2.157164869029276,
|
| 1002 |
+
"grad_norm": 0.9445130228996277,
|
| 1003 |
+
"learning_rate": 0.0002,
|
| 1004 |
+
"loss": 0.8669,
|
| 1005 |
+
"step": 1400
|
| 1006 |
+
},
|
| 1007 |
+
{
|
| 1008 |
+
"epoch": 2.172573189522342,
|
| 1009 |
+
"grad_norm": 0.9806232452392578,
|
| 1010 |
+
"learning_rate": 0.0002,
|
| 1011 |
+
"loss": 0.8293,
|
| 1012 |
+
"step": 1410
|
| 1013 |
+
},
|
| 1014 |
+
{
|
| 1015 |
+
"epoch": 2.1879815100154083,
|
| 1016 |
+
"grad_norm": 1.2135679721832275,
|
| 1017 |
+
"learning_rate": 0.0002,
|
| 1018 |
+
"loss": 0.8499,
|
| 1019 |
+
"step": 1420
|
| 1020 |
+
},
|
| 1021 |
+
{
|
| 1022 |
+
"epoch": 2.2033898305084745,
|
| 1023 |
+
"grad_norm": 1.1036803722381592,
|
| 1024 |
+
"learning_rate": 0.0002,
|
| 1025 |
+
"loss": 0.8908,
|
| 1026 |
+
"step": 1430
|
| 1027 |
+
},
|
| 1028 |
+
{
|
| 1029 |
+
"epoch": 2.2187981510015407,
|
| 1030 |
+
"grad_norm": 0.9235773086547852,
|
| 1031 |
+
"learning_rate": 0.0002,
|
| 1032 |
+
"loss": 0.9725,
|
| 1033 |
+
"step": 1440
|
| 1034 |
+
},
|
| 1035 |
+
{
|
| 1036 |
+
"epoch": 2.2342064714946073,
|
| 1037 |
+
"grad_norm": 1.0520254373550415,
|
| 1038 |
+
"learning_rate": 0.0002,
|
| 1039 |
+
"loss": 0.8176,
|
| 1040 |
+
"step": 1450
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 2.2496147919876734,
|
| 1044 |
+
"grad_norm": 1.0121252536773682,
|
| 1045 |
+
"learning_rate": 0.0002,
|
| 1046 |
+
"loss": 0.9138,
|
| 1047 |
+
"step": 1460
|
| 1048 |
+
},
|
| 1049 |
+
{
|
| 1050 |
+
"epoch": 2.2650231124807396,
|
| 1051 |
+
"grad_norm": 1.0718834400177002,
|
| 1052 |
+
"learning_rate": 0.0002,
|
| 1053 |
+
"loss": 0.8722,
|
| 1054 |
+
"step": 1470
|
| 1055 |
+
},
|
| 1056 |
+
{
|
| 1057 |
+
"epoch": 2.280431432973806,
|
| 1058 |
+
"grad_norm": 1.1842551231384277,
|
| 1059 |
+
"learning_rate": 0.0002,
|
| 1060 |
+
"loss": 0.8295,
|
| 1061 |
+
"step": 1480
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 2.295839753466872,
|
| 1065 |
+
"grad_norm": 1.2985937595367432,
|
| 1066 |
+
"learning_rate": 0.0002,
|
| 1067 |
+
"loss": 0.8706,
|
| 1068 |
+
"step": 1490
|
| 1069 |
+
},
|
| 1070 |
+
{
|
| 1071 |
+
"epoch": 2.3112480739599386,
|
| 1072 |
+
"grad_norm": 2.0254523754119873,
|
| 1073 |
+
"learning_rate": 0.0002,
|
| 1074 |
+
"loss": 0.873,
|
| 1075 |
+
"step": 1500
|
| 1076 |
+
},
|
| 1077 |
+
{
|
| 1078 |
+
"epoch": 2.3266563944530048,
|
| 1079 |
+
"grad_norm": 1.1501885652542114,
|
| 1080 |
+
"learning_rate": 0.0002,
|
| 1081 |
+
"loss": 0.8569,
|
| 1082 |
+
"step": 1510
|
| 1083 |
+
},
|
| 1084 |
+
{
|
| 1085 |
+
"epoch": 2.342064714946071,
|
| 1086 |
+
"grad_norm": 1.1277996301651,
|
| 1087 |
+
"learning_rate": 0.0002,
|
| 1088 |
+
"loss": 0.9394,
|
| 1089 |
+
"step": 1520
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"epoch": 2.357473035439137,
|
| 1093 |
+
"grad_norm": 0.9330579042434692,
|
| 1094 |
+
"learning_rate": 0.0002,
|
| 1095 |
+
"loss": 0.8856,
|
| 1096 |
+
"step": 1530
|
| 1097 |
+
},
|
| 1098 |
+
{
|
| 1099 |
+
"epoch": 2.3728813559322033,
|
| 1100 |
+
"grad_norm": 1.3631645441055298,
|
| 1101 |
+
"learning_rate": 0.0002,
|
| 1102 |
+
"loss": 0.8679,
|
| 1103 |
+
"step": 1540
|
| 1104 |
+
},
|
| 1105 |
+
{
|
| 1106 |
+
"epoch": 2.3882896764252695,
|
| 1107 |
+
"grad_norm": 1.070383071899414,
|
| 1108 |
+
"learning_rate": 0.0002,
|
| 1109 |
+
"loss": 0.8644,
|
| 1110 |
+
"step": 1550
|
| 1111 |
+
},
|
| 1112 |
+
{
|
| 1113 |
+
"epoch": 2.403697996918336,
|
| 1114 |
+
"grad_norm": 1.5154823064804077,
|
| 1115 |
+
"learning_rate": 0.0002,
|
| 1116 |
+
"loss": 0.9235,
|
| 1117 |
+
"step": 1560
|
| 1118 |
+
},
|
| 1119 |
+
{
|
| 1120 |
+
"epoch": 2.4191063174114023,
|
| 1121 |
+
"grad_norm": 0.8797892332077026,
|
| 1122 |
+
"learning_rate": 0.0002,
|
| 1123 |
+
"loss": 0.9778,
|
| 1124 |
+
"step": 1570
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 2.4345146379044684,
|
| 1128 |
+
"grad_norm": 1.0940500497817993,
|
| 1129 |
+
"learning_rate": 0.0002,
|
| 1130 |
+
"loss": 0.8952,
|
| 1131 |
+
"step": 1580
|
| 1132 |
+
},
|
| 1133 |
+
{
|
| 1134 |
+
"epoch": 2.4499229583975346,
|
| 1135 |
+
"grad_norm": 1.6111960411071777,
|
| 1136 |
+
"learning_rate": 0.0002,
|
| 1137 |
+
"loss": 0.9352,
|
| 1138 |
+
"step": 1590
|
| 1139 |
+
},
|
| 1140 |
+
{
|
| 1141 |
+
"epoch": 2.4653312788906008,
|
| 1142 |
+
"grad_norm": 0.9618533849716187,
|
| 1143 |
+
"learning_rate": 0.0002,
|
| 1144 |
+
"loss": 0.8462,
|
| 1145 |
+
"step": 1600
|
| 1146 |
+
},
|
| 1147 |
+
{
|
| 1148 |
+
"epoch": 2.480739599383667,
|
| 1149 |
+
"grad_norm": 1.3644909858703613,
|
| 1150 |
+
"learning_rate": 0.0002,
|
| 1151 |
+
"loss": 0.7929,
|
| 1152 |
+
"step": 1610
|
| 1153 |
+
},
|
| 1154 |
+
{
|
| 1155 |
+
"epoch": 2.4961479198767336,
|
| 1156 |
+
"grad_norm": 0.9000744223594666,
|
| 1157 |
+
"learning_rate": 0.0002,
|
| 1158 |
+
"loss": 0.8482,
|
| 1159 |
+
"step": 1620
|
| 1160 |
+
},
|
| 1161 |
+
{
|
| 1162 |
+
"epoch": 2.5115562403697997,
|
| 1163 |
+
"grad_norm": 1.2393828630447388,
|
| 1164 |
+
"learning_rate": 0.0002,
|
| 1165 |
+
"loss": 0.9031,
|
| 1166 |
+
"step": 1630
|
| 1167 |
+
},
|
| 1168 |
+
{
|
| 1169 |
+
"epoch": 2.526964560862866,
|
| 1170 |
+
"grad_norm": 1.231459617614746,
|
| 1171 |
+
"learning_rate": 0.0002,
|
| 1172 |
+
"loss": 0.8986,
|
| 1173 |
+
"step": 1640
|
| 1174 |
+
},
|
| 1175 |
+
{
|
| 1176 |
+
"epoch": 2.542372881355932,
|
| 1177 |
+
"grad_norm": 1.605279564857483,
|
| 1178 |
+
"learning_rate": 0.0002,
|
| 1179 |
+
"loss": 0.8904,
|
| 1180 |
+
"step": 1650
|
| 1181 |
+
},
|
| 1182 |
+
{
|
| 1183 |
+
"epoch": 2.5577812018489983,
|
| 1184 |
+
"grad_norm": 0.9993997812271118,
|
| 1185 |
+
"learning_rate": 0.0002,
|
| 1186 |
+
"loss": 0.9044,
|
| 1187 |
+
"step": 1660
|
| 1188 |
+
},
|
| 1189 |
+
{
|
| 1190 |
+
"epoch": 2.573189522342065,
|
| 1191 |
+
"grad_norm": 0.8446758985519409,
|
| 1192 |
+
"learning_rate": 0.0002,
|
| 1193 |
+
"loss": 0.8079,
|
| 1194 |
+
"step": 1670
|
| 1195 |
+
},
|
| 1196 |
+
{
|
| 1197 |
+
"epoch": 2.588597842835131,
|
| 1198 |
+
"grad_norm": 0.9734597206115723,
|
| 1199 |
+
"learning_rate": 0.0002,
|
| 1200 |
+
"loss": 0.8295,
|
| 1201 |
+
"step": 1680
|
| 1202 |
+
},
|
| 1203 |
+
{
|
| 1204 |
+
"epoch": 2.6040061633281972,
|
| 1205 |
+
"grad_norm": 0.9620639681816101,
|
| 1206 |
+
"learning_rate": 0.0002,
|
| 1207 |
+
"loss": 0.8905,
|
| 1208 |
+
"step": 1690
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 2.6194144838212634,
|
| 1212 |
+
"grad_norm": 1.2597887516021729,
|
| 1213 |
+
"learning_rate": 0.0002,
|
| 1214 |
+
"loss": 0.893,
|
| 1215 |
+
"step": 1700
|
| 1216 |
+
},
|
| 1217 |
+
{
|
| 1218 |
+
"epoch": 2.6348228043143296,
|
| 1219 |
+
"grad_norm": 0.9959160685539246,
|
| 1220 |
+
"learning_rate": 0.0002,
|
| 1221 |
+
"loss": 0.8567,
|
| 1222 |
+
"step": 1710
|
| 1223 |
+
},
|
| 1224 |
+
{
|
| 1225 |
+
"epoch": 2.650231124807396,
|
| 1226 |
+
"grad_norm": 1.729129672050476,
|
| 1227 |
+
"learning_rate": 0.0002,
|
| 1228 |
+
"loss": 0.7528,
|
| 1229 |
+
"step": 1720
|
| 1230 |
+
},
|
| 1231 |
+
{
|
| 1232 |
+
"epoch": 2.6656394453004624,
|
| 1233 |
+
"grad_norm": 0.8466572761535645,
|
| 1234 |
+
"learning_rate": 0.0002,
|
| 1235 |
+
"loss": 0.8859,
|
| 1236 |
+
"step": 1730
|
| 1237 |
+
},
|
| 1238 |
+
{
|
| 1239 |
+
"epoch": 2.6810477657935285,
|
| 1240 |
+
"grad_norm": 0.9277077913284302,
|
| 1241 |
+
"learning_rate": 0.0002,
|
| 1242 |
+
"loss": 0.9075,
|
| 1243 |
+
"step": 1740
|
| 1244 |
+
},
|
| 1245 |
+
{
|
| 1246 |
+
"epoch": 2.6964560862865947,
|
| 1247 |
+
"grad_norm": 1.1184828281402588,
|
| 1248 |
+
"learning_rate": 0.0002,
|
| 1249 |
+
"loss": 0.8168,
|
| 1250 |
+
"step": 1750
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 2.711864406779661,
|
| 1254 |
+
"grad_norm": 1.0716012716293335,
|
| 1255 |
+
"learning_rate": 0.0002,
|
| 1256 |
+
"loss": 0.9063,
|
| 1257 |
+
"step": 1760
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"epoch": 2.7272727272727275,
|
| 1261 |
+
"grad_norm": 1.8334401845932007,
|
| 1262 |
+
"learning_rate": 0.0002,
|
| 1263 |
+
"loss": 0.9066,
|
| 1264 |
+
"step": 1770
|
| 1265 |
+
},
|
| 1266 |
+
{
|
| 1267 |
+
"epoch": 2.7426810477657937,
|
| 1268 |
+
"grad_norm": 1.032091736793518,
|
| 1269 |
+
"learning_rate": 0.0002,
|
| 1270 |
+
"loss": 0.8721,
|
| 1271 |
+
"step": 1780
|
| 1272 |
+
},
|
| 1273 |
+
{
|
| 1274 |
+
"epoch": 2.75808936825886,
|
| 1275 |
+
"grad_norm": 1.0596864223480225,
|
| 1276 |
+
"learning_rate": 0.0002,
|
| 1277 |
+
"loss": 0.9065,
|
| 1278 |
+
"step": 1790
|
| 1279 |
+
},
|
| 1280 |
+
{
|
| 1281 |
+
"epoch": 2.773497688751926,
|
| 1282 |
+
"grad_norm": 0.9625331163406372,
|
| 1283 |
+
"learning_rate": 0.0002,
|
| 1284 |
+
"loss": 0.8729,
|
| 1285 |
+
"step": 1800
|
| 1286 |
+
},
|
| 1287 |
+
{
|
| 1288 |
+
"epoch": 2.788906009244992,
|
| 1289 |
+
"grad_norm": 1.1381267309188843,
|
| 1290 |
+
"learning_rate": 0.0002,
|
| 1291 |
+
"loss": 0.8942,
|
| 1292 |
+
"step": 1810
|
| 1293 |
+
},
|
| 1294 |
+
{
|
| 1295 |
+
"epoch": 2.8043143297380584,
|
| 1296 |
+
"grad_norm": 1.0851205587387085,
|
| 1297 |
+
"learning_rate": 0.0002,
|
| 1298 |
+
"loss": 0.8753,
|
| 1299 |
+
"step": 1820
|
| 1300 |
+
},
|
| 1301 |
+
{
|
| 1302 |
+
"epoch": 2.8197226502311246,
|
| 1303 |
+
"grad_norm": 0.9770793914794922,
|
| 1304 |
+
"learning_rate": 0.0002,
|
| 1305 |
+
"loss": 0.8532,
|
| 1306 |
+
"step": 1830
|
| 1307 |
+
},
|
| 1308 |
+
{
|
| 1309 |
+
"epoch": 2.835130970724191,
|
| 1310 |
+
"grad_norm": 1.067268967628479,
|
| 1311 |
+
"learning_rate": 0.0002,
|
| 1312 |
+
"loss": 0.8686,
|
| 1313 |
+
"step": 1840
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"epoch": 2.8505392912172574,
|
| 1317 |
+
"grad_norm": 1.0252294540405273,
|
| 1318 |
+
"learning_rate": 0.0002,
|
| 1319 |
+
"loss": 0.8931,
|
| 1320 |
+
"step": 1850
|
| 1321 |
+
},
|
| 1322 |
+
{
|
| 1323 |
+
"epoch": 2.8659476117103235,
|
| 1324 |
+
"grad_norm": 1.442360281944275,
|
| 1325 |
+
"learning_rate": 0.0002,
|
| 1326 |
+
"loss": 0.9265,
|
| 1327 |
+
"step": 1860
|
| 1328 |
+
},
|
| 1329 |
+
{
|
| 1330 |
+
"epoch": 2.8813559322033897,
|
| 1331 |
+
"grad_norm": 0.8977653384208679,
|
| 1332 |
+
"learning_rate": 0.0002,
|
| 1333 |
+
"loss": 0.8893,
|
| 1334 |
+
"step": 1870
|
| 1335 |
+
},
|
| 1336 |
+
{
|
| 1337 |
+
"epoch": 2.896764252696456,
|
| 1338 |
+
"grad_norm": 1.0946455001831055,
|
| 1339 |
+
"learning_rate": 0.0002,
|
| 1340 |
+
"loss": 0.8779,
|
| 1341 |
+
"step": 1880
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"epoch": 2.9121725731895225,
|
| 1345 |
+
"grad_norm": 0.9993954300880432,
|
| 1346 |
+
"learning_rate": 0.0002,
|
| 1347 |
+
"loss": 0.8775,
|
| 1348 |
+
"step": 1890
|
| 1349 |
+
},
|
| 1350 |
+
{
|
| 1351 |
+
"epoch": 2.9275808936825887,
|
| 1352 |
+
"grad_norm": 1.1941032409667969,
|
| 1353 |
+
"learning_rate": 0.0002,
|
| 1354 |
+
"loss": 0.8004,
|
| 1355 |
+
"step": 1900
|
| 1356 |
+
},
|
| 1357 |
+
{
|
| 1358 |
+
"epoch": 2.942989214175655,
|
| 1359 |
+
"grad_norm": 1.5158019065856934,
|
| 1360 |
+
"learning_rate": 0.0002,
|
| 1361 |
+
"loss": 0.8862,
|
| 1362 |
+
"step": 1910
|
| 1363 |
+
},
|
| 1364 |
+
{
|
| 1365 |
+
"epoch": 2.958397534668721,
|
| 1366 |
+
"grad_norm": 1.4000548124313354,
|
| 1367 |
+
"learning_rate": 0.0002,
|
| 1368 |
+
"loss": 0.9363,
|
| 1369 |
+
"step": 1920
|
| 1370 |
+
},
|
| 1371 |
+
{
|
| 1372 |
+
"epoch": 2.973805855161787,
|
| 1373 |
+
"grad_norm": 0.9906305074691772,
|
| 1374 |
+
"learning_rate": 0.0002,
|
| 1375 |
+
"loss": 0.8666,
|
| 1376 |
+
"step": 1930
|
| 1377 |
+
},
|
| 1378 |
+
{
|
| 1379 |
+
"epoch": 2.989214175654854,
|
| 1380 |
+
"grad_norm": 1.7382938861846924,
|
| 1381 |
+
"learning_rate": 0.0002,
|
| 1382 |
+
"loss": 0.8434,
|
| 1383 |
+
"step": 1940
|
| 1384 |
+
},
|
| 1385 |
+
{
|
| 1386 |
+
"epoch": 3.0,
|
| 1387 |
+
"eval_loss": 1.2514833211898804,
|
| 1388 |
+
"eval_runtime": 119.8709,
|
| 1389 |
+
"eval_samples_per_second": 3.804,
|
| 1390 |
+
"eval_steps_per_second": 0.476,
|
| 1391 |
+
"step": 1947
|
| 1392 |
+
},
|
| 1393 |
+
{
|
| 1394 |
+
"epoch": 3.00462249614792,
|
| 1395 |
+
"grad_norm": 0.9265438318252563,
|
| 1396 |
+
"learning_rate": 0.0002,
|
| 1397 |
+
"loss": 0.8099,
|
| 1398 |
+
"step": 1950
|
| 1399 |
+
},
|
| 1400 |
+
{
|
| 1401 |
+
"epoch": 3.020030816640986,
|
| 1402 |
+
"grad_norm": 1.2885810136795044,
|
| 1403 |
+
"learning_rate": 0.0002,
|
| 1404 |
+
"loss": 0.6058,
|
| 1405 |
+
"step": 1960
|
| 1406 |
+
},
|
| 1407 |
+
{
|
| 1408 |
+
"epoch": 3.0354391371340523,
|
| 1409 |
+
"grad_norm": 1.150202751159668,
|
| 1410 |
+
"learning_rate": 0.0002,
|
| 1411 |
+
"loss": 0.6065,
|
| 1412 |
+
"step": 1970
|
| 1413 |
+
},
|
| 1414 |
+
{
|
| 1415 |
+
"epoch": 3.0508474576271185,
|
| 1416 |
+
"grad_norm": 1.4145002365112305,
|
| 1417 |
+
"learning_rate": 0.0002,
|
| 1418 |
+
"loss": 0.7225,
|
| 1419 |
+
"step": 1980
|
| 1420 |
+
},
|
| 1421 |
+
{
|
| 1422 |
+
"epoch": 3.066255778120185,
|
| 1423 |
+
"grad_norm": 1.3523074388504028,
|
| 1424 |
+
"learning_rate": 0.0002,
|
| 1425 |
+
"loss": 0.6403,
|
| 1426 |
+
"step": 1990
|
| 1427 |
+
},
|
| 1428 |
+
{
|
| 1429 |
+
"epoch": 3.0816640986132513,
|
| 1430 |
+
"grad_norm": 1.4055354595184326,
|
| 1431 |
+
"learning_rate": 0.0002,
|
| 1432 |
+
"loss": 0.6784,
|
| 1433 |
+
"step": 2000
|
| 1434 |
+
},
|
| 1435 |
+
{
|
| 1436 |
+
"epoch": 3.0970724191063175,
|
| 1437 |
+
"grad_norm": 1.3167393207550049,
|
| 1438 |
+
"learning_rate": 0.0002,
|
| 1439 |
+
"loss": 0.617,
|
| 1440 |
+
"step": 2010
|
| 1441 |
+
},
|
| 1442 |
+
{
|
| 1443 |
+
"epoch": 3.1124807395993837,
|
| 1444 |
+
"grad_norm": 0.8515956997871399,
|
| 1445 |
+
"learning_rate": 0.0002,
|
| 1446 |
+
"loss": 0.6228,
|
| 1447 |
+
"step": 2020
|
| 1448 |
+
},
|
| 1449 |
+
{
|
| 1450 |
+
"epoch": 3.12788906009245,
|
| 1451 |
+
"grad_norm": 1.596145510673523,
|
| 1452 |
+
"learning_rate": 0.0002,
|
| 1453 |
+
"loss": 0.722,
|
| 1454 |
+
"step": 2030
|
| 1455 |
+
},
|
| 1456 |
+
{
|
| 1457 |
+
"epoch": 3.143297380585516,
|
| 1458 |
+
"grad_norm": 1.3406099081039429,
|
| 1459 |
+
"learning_rate": 0.0002,
|
| 1460 |
+
"loss": 0.6582,
|
| 1461 |
+
"step": 2040
|
| 1462 |
+
},
|
| 1463 |
+
{
|
| 1464 |
+
"epoch": 3.1587057010785826,
|
| 1465 |
+
"grad_norm": 1.5566312074661255,
|
| 1466 |
+
"learning_rate": 0.0002,
|
| 1467 |
+
"loss": 0.661,
|
| 1468 |
+
"step": 2050
|
| 1469 |
+
},
|
| 1470 |
+
{
|
| 1471 |
+
"epoch": 3.174114021571649,
|
| 1472 |
+
"grad_norm": 1.060834288597107,
|
| 1473 |
+
"learning_rate": 0.0002,
|
| 1474 |
+
"loss": 0.648,
|
| 1475 |
+
"step": 2060
|
| 1476 |
+
},
|
| 1477 |
+
{
|
| 1478 |
+
"epoch": 3.189522342064715,
|
| 1479 |
+
"grad_norm": 1.534487247467041,
|
| 1480 |
+
"learning_rate": 0.0002,
|
| 1481 |
+
"loss": 0.7131,
|
| 1482 |
+
"step": 2070
|
| 1483 |
+
},
|
| 1484 |
+
{
|
| 1485 |
+
"epoch": 3.204930662557781,
|
| 1486 |
+
"grad_norm": 1.4387457370758057,
|
| 1487 |
+
"learning_rate": 0.0002,
|
| 1488 |
+
"loss": 0.6465,
|
| 1489 |
+
"step": 2080
|
| 1490 |
+
},
|
| 1491 |
+
{
|
| 1492 |
+
"epoch": 3.2203389830508473,
|
| 1493 |
+
"grad_norm": 1.6553950309753418,
|
| 1494 |
+
"learning_rate": 0.0002,
|
| 1495 |
+
"loss": 0.651,
|
| 1496 |
+
"step": 2090
|
| 1497 |
+
},
|
| 1498 |
+
{
|
| 1499 |
+
"epoch": 3.2357473035439135,
|
| 1500 |
+
"grad_norm": 1.4905112981796265,
|
| 1501 |
+
"learning_rate": 0.0002,
|
| 1502 |
+
"loss": 0.6329,
|
| 1503 |
+
"step": 2100
|
| 1504 |
+
},
|
| 1505 |
+
{
|
| 1506 |
+
"epoch": 3.25115562403698,
|
| 1507 |
+
"grad_norm": 1.5865840911865234,
|
| 1508 |
+
"learning_rate": 0.0002,
|
| 1509 |
+
"loss": 0.6835,
|
| 1510 |
+
"step": 2110
|
| 1511 |
+
},
|
| 1512 |
+
{
|
| 1513 |
+
"epoch": 3.2665639445300463,
|
| 1514 |
+
"grad_norm": 1.7313302755355835,
|
| 1515 |
+
"learning_rate": 0.0002,
|
| 1516 |
+
"loss": 0.65,
|
| 1517 |
+
"step": 2120
|
| 1518 |
+
},
|
| 1519 |
+
{
|
| 1520 |
+
"epoch": 3.2819722650231125,
|
| 1521 |
+
"grad_norm": 1.3718984127044678,
|
| 1522 |
+
"learning_rate": 0.0002,
|
| 1523 |
+
"loss": 0.6401,
|
| 1524 |
+
"step": 2130
|
| 1525 |
+
},
|
| 1526 |
+
{
|
| 1527 |
+
"epoch": 3.2973805855161786,
|
| 1528 |
+
"grad_norm": 1.4081032276153564,
|
| 1529 |
+
"learning_rate": 0.0002,
|
| 1530 |
+
"loss": 0.6794,
|
| 1531 |
+
"step": 2140
|
| 1532 |
+
},
|
| 1533 |
+
{
|
| 1534 |
+
"epoch": 3.312788906009245,
|
| 1535 |
+
"grad_norm": 1.2884169816970825,
|
| 1536 |
+
"learning_rate": 0.0002,
|
| 1537 |
+
"loss": 0.7119,
|
| 1538 |
+
"step": 2150
|
| 1539 |
+
},
|
| 1540 |
+
{
|
| 1541 |
+
"epoch": 3.3281972265023114,
|
| 1542 |
+
"grad_norm": 1.0338295698165894,
|
| 1543 |
+
"learning_rate": 0.0002,
|
| 1544 |
+
"loss": 0.6476,
|
| 1545 |
+
"step": 2160
|
| 1546 |
+
},
|
| 1547 |
+
{
|
| 1548 |
+
"epoch": 3.3436055469953776,
|
| 1549 |
+
"grad_norm": 1.5023012161254883,
|
| 1550 |
+
"learning_rate": 0.0002,
|
| 1551 |
+
"loss": 0.6544,
|
| 1552 |
+
"step": 2170
|
| 1553 |
+
},
|
| 1554 |
+
{
|
| 1555 |
+
"epoch": 3.3590138674884438,
|
| 1556 |
+
"grad_norm": 1.1718626022338867,
|
| 1557 |
+
"learning_rate": 0.0002,
|
| 1558 |
+
"loss": 0.6606,
|
| 1559 |
+
"step": 2180
|
| 1560 |
+
},
|
| 1561 |
+
{
|
| 1562 |
+
"epoch": 3.37442218798151,
|
| 1563 |
+
"grad_norm": 1.1776877641677856,
|
| 1564 |
+
"learning_rate": 0.0002,
|
| 1565 |
+
"loss": 0.6734,
|
| 1566 |
+
"step": 2190
|
| 1567 |
+
},
|
| 1568 |
+
{
|
| 1569 |
+
"epoch": 3.389830508474576,
|
| 1570 |
+
"grad_norm": 1.1330585479736328,
|
| 1571 |
+
"learning_rate": 0.0002,
|
| 1572 |
+
"loss": 0.6301,
|
| 1573 |
+
"step": 2200
|
| 1574 |
+
},
|
| 1575 |
+
{
|
| 1576 |
+
"epoch": 3.4052388289676427,
|
| 1577 |
+
"grad_norm": 2.024857997894287,
|
| 1578 |
+
"learning_rate": 0.0002,
|
| 1579 |
+
"loss": 0.7051,
|
| 1580 |
+
"step": 2210
|
| 1581 |
+
},
|
| 1582 |
+
{
|
| 1583 |
+
"epoch": 3.420647149460709,
|
| 1584 |
+
"grad_norm": 1.3598058223724365,
|
| 1585 |
+
"learning_rate": 0.0002,
|
| 1586 |
+
"loss": 0.7233,
|
| 1587 |
+
"step": 2220
|
| 1588 |
+
},
|
| 1589 |
+
{
|
| 1590 |
+
"epoch": 3.436055469953775,
|
| 1591 |
+
"grad_norm": 1.3725299835205078,
|
| 1592 |
+
"learning_rate": 0.0002,
|
| 1593 |
+
"loss": 0.6943,
|
| 1594 |
+
"step": 2230
|
| 1595 |
+
},
|
| 1596 |
+
{
|
| 1597 |
+
"epoch": 3.4514637904468413,
|
| 1598 |
+
"grad_norm": 1.1065977811813354,
|
| 1599 |
+
"learning_rate": 0.0002,
|
| 1600 |
+
"loss": 0.6871,
|
| 1601 |
+
"step": 2240
|
| 1602 |
+
},
|
| 1603 |
+
{
|
| 1604 |
+
"epoch": 3.4668721109399074,
|
| 1605 |
+
"grad_norm": 1.5074089765548706,
|
| 1606 |
+
"learning_rate": 0.0002,
|
| 1607 |
+
"loss": 0.6628,
|
| 1608 |
+
"step": 2250
|
| 1609 |
+
},
|
| 1610 |
+
{
|
| 1611 |
+
"epoch": 3.482280431432974,
|
| 1612 |
+
"grad_norm": 1.114187479019165,
|
| 1613 |
+
"learning_rate": 0.0002,
|
| 1614 |
+
"loss": 0.6847,
|
| 1615 |
+
"step": 2260
|
| 1616 |
+
},
|
| 1617 |
+
{
|
| 1618 |
+
"epoch": 3.4976887519260402,
|
| 1619 |
+
"grad_norm": 1.5719729661941528,
|
| 1620 |
+
"learning_rate": 0.0002,
|
| 1621 |
+
"loss": 0.6934,
|
| 1622 |
+
"step": 2270
|
| 1623 |
+
},
|
| 1624 |
+
{
|
| 1625 |
+
"epoch": 3.5130970724191064,
|
| 1626 |
+
"grad_norm": 1.2377736568450928,
|
| 1627 |
+
"learning_rate": 0.0002,
|
| 1628 |
+
"loss": 0.7264,
|
| 1629 |
+
"step": 2280
|
| 1630 |
+
},
|
| 1631 |
+
{
|
| 1632 |
+
"epoch": 3.5285053929121726,
|
| 1633 |
+
"grad_norm": 1.4295454025268555,
|
| 1634 |
+
"learning_rate": 0.0002,
|
| 1635 |
+
"loss": 0.6777,
|
| 1636 |
+
"step": 2290
|
| 1637 |
+
},
|
| 1638 |
+
{
|
| 1639 |
+
"epoch": 3.5439137134052388,
|
| 1640 |
+
"grad_norm": 0.9240845441818237,
|
| 1641 |
+
"learning_rate": 0.0002,
|
| 1642 |
+
"loss": 0.6465,
|
| 1643 |
+
"step": 2300
|
| 1644 |
+
},
|
| 1645 |
+
{
|
| 1646 |
+
"epoch": 3.559322033898305,
|
| 1647 |
+
"grad_norm": 1.5270299911499023,
|
| 1648 |
+
"learning_rate": 0.0002,
|
| 1649 |
+
"loss": 0.6627,
|
| 1650 |
+
"step": 2310
|
| 1651 |
+
},
|
| 1652 |
+
{
|
| 1653 |
+
"epoch": 3.574730354391371,
|
| 1654 |
+
"grad_norm": 1.2820508480072021,
|
| 1655 |
+
"learning_rate": 0.0002,
|
| 1656 |
+
"loss": 0.7018,
|
| 1657 |
+
"step": 2320
|
| 1658 |
+
},
|
| 1659 |
+
{
|
| 1660 |
+
"epoch": 3.5901386748844377,
|
| 1661 |
+
"grad_norm": 1.2932546138763428,
|
| 1662 |
+
"learning_rate": 0.0002,
|
| 1663 |
+
"loss": 0.7225,
|
| 1664 |
+
"step": 2330
|
| 1665 |
+
},
|
| 1666 |
+
{
|
| 1667 |
+
"epoch": 3.605546995377504,
|
| 1668 |
+
"grad_norm": 1.3201853036880493,
|
| 1669 |
+
"learning_rate": 0.0002,
|
| 1670 |
+
"loss": 0.6815,
|
| 1671 |
+
"step": 2340
|
| 1672 |
+
},
|
| 1673 |
+
{
|
| 1674 |
+
"epoch": 3.62095531587057,
|
| 1675 |
+
"grad_norm": 1.7489187717437744,
|
| 1676 |
+
"learning_rate": 0.0002,
|
| 1677 |
+
"loss": 0.6842,
|
| 1678 |
+
"step": 2350
|
| 1679 |
+
},
|
| 1680 |
+
{
|
| 1681 |
+
"epoch": 3.6363636363636362,
|
| 1682 |
+
"grad_norm": 1.2384065389633179,
|
| 1683 |
+
"learning_rate": 0.0002,
|
| 1684 |
+
"loss": 0.7468,
|
| 1685 |
+
"step": 2360
|
| 1686 |
+
},
|
| 1687 |
+
{
|
| 1688 |
+
"epoch": 3.6517719568567024,
|
| 1689 |
+
"grad_norm": 1.0870963335037231,
|
| 1690 |
+
"learning_rate": 0.0002,
|
| 1691 |
+
"loss": 0.6978,
|
| 1692 |
+
"step": 2370
|
| 1693 |
+
},
|
| 1694 |
+
{
|
| 1695 |
+
"epoch": 3.667180277349769,
|
| 1696 |
+
"grad_norm": 1.4325937032699585,
|
| 1697 |
+
"learning_rate": 0.0002,
|
| 1698 |
+
"loss": 0.6214,
|
| 1699 |
+
"step": 2380
|
| 1700 |
+
},
|
| 1701 |
+
{
|
| 1702 |
+
"epoch": 3.682588597842835,
|
| 1703 |
+
"grad_norm": 1.3232696056365967,
|
| 1704 |
+
"learning_rate": 0.0002,
|
| 1705 |
+
"loss": 0.6737,
|
| 1706 |
+
"step": 2390
|
| 1707 |
+
},
|
| 1708 |
+
{
|
| 1709 |
+
"epoch": 3.6979969183359014,
|
| 1710 |
+
"grad_norm": 1.409141182899475,
|
| 1711 |
+
"learning_rate": 0.0002,
|
| 1712 |
+
"loss": 0.6643,
|
| 1713 |
+
"step": 2400
|
| 1714 |
+
},
|
| 1715 |
+
{
|
| 1716 |
+
"epoch": 3.7134052388289676,
|
| 1717 |
+
"grad_norm": 1.4707226753234863,
|
| 1718 |
+
"learning_rate": 0.0002,
|
| 1719 |
+
"loss": 0.7069,
|
| 1720 |
+
"step": 2410
|
| 1721 |
+
},
|
| 1722 |
+
{
|
| 1723 |
+
"epoch": 3.7288135593220337,
|
| 1724 |
+
"grad_norm": 1.3888318538665771,
|
| 1725 |
+
"learning_rate": 0.0002,
|
| 1726 |
+
"loss": 0.678,
|
| 1727 |
+
"step": 2420
|
| 1728 |
+
},
|
| 1729 |
+
{
|
| 1730 |
+
"epoch": 3.7442218798151004,
|
| 1731 |
+
"grad_norm": 1.4682821035385132,
|
| 1732 |
+
"learning_rate": 0.0002,
|
| 1733 |
+
"loss": 0.6718,
|
| 1734 |
+
"step": 2430
|
| 1735 |
+
},
|
| 1736 |
+
{
|
| 1737 |
+
"epoch": 3.7596302003081665,
|
| 1738 |
+
"grad_norm": 1.2217520475387573,
|
| 1739 |
+
"learning_rate": 0.0002,
|
| 1740 |
+
"loss": 0.7593,
|
| 1741 |
+
"step": 2440
|
| 1742 |
+
},
|
| 1743 |
+
{
|
| 1744 |
+
"epoch": 3.7750385208012327,
|
| 1745 |
+
"grad_norm": 1.3346893787384033,
|
| 1746 |
+
"learning_rate": 0.0002,
|
| 1747 |
+
"loss": 0.6912,
|
| 1748 |
+
"step": 2450
|
| 1749 |
+
},
|
| 1750 |
+
{
|
| 1751 |
+
"epoch": 3.790446841294299,
|
| 1752 |
+
"grad_norm": 1.4342081546783447,
|
| 1753 |
+
"learning_rate": 0.0002,
|
| 1754 |
+
"loss": 0.609,
|
| 1755 |
+
"step": 2460
|
| 1756 |
+
},
|
| 1757 |
+
{
|
| 1758 |
+
"epoch": 3.805855161787365,
|
| 1759 |
+
"grad_norm": 1.5921152830123901,
|
| 1760 |
+
"learning_rate": 0.0002,
|
| 1761 |
+
"loss": 0.6985,
|
| 1762 |
+
"step": 2470
|
| 1763 |
+
},
|
| 1764 |
+
{
|
| 1765 |
+
"epoch": 3.8212634822804317,
|
| 1766 |
+
"grad_norm": 1.7322826385498047,
|
| 1767 |
+
"learning_rate": 0.0002,
|
| 1768 |
+
"loss": 0.6751,
|
| 1769 |
+
"step": 2480
|
| 1770 |
+
},
|
| 1771 |
+
{
|
| 1772 |
+
"epoch": 3.836671802773498,
|
| 1773 |
+
"grad_norm": 1.478434681892395,
|
| 1774 |
+
"learning_rate": 0.0002,
|
| 1775 |
+
"loss": 0.6862,
|
| 1776 |
+
"step": 2490
|
| 1777 |
+
},
|
| 1778 |
+
{
|
| 1779 |
+
"epoch": 3.852080123266564,
|
| 1780 |
+
"grad_norm": 1.3945757150650024,
|
| 1781 |
+
"learning_rate": 0.0002,
|
| 1782 |
+
"loss": 0.6983,
|
| 1783 |
+
"step": 2500
|
| 1784 |
+
},
|
| 1785 |
+
{
|
| 1786 |
+
"epoch": 3.86748844375963,
|
| 1787 |
+
"grad_norm": 1.584877848625183,
|
| 1788 |
+
"learning_rate": 0.0002,
|
| 1789 |
+
"loss": 0.7439,
|
| 1790 |
+
"step": 2510
|
| 1791 |
+
},
|
| 1792 |
+
{
|
| 1793 |
+
"epoch": 3.8828967642526964,
|
| 1794 |
+
"grad_norm": 1.6307404041290283,
|
| 1795 |
+
"learning_rate": 0.0002,
|
| 1796 |
+
"loss": 0.7049,
|
| 1797 |
+
"step": 2520
|
| 1798 |
+
},
|
| 1799 |
+
{
|
| 1800 |
+
"epoch": 3.898305084745763,
|
| 1801 |
+
"grad_norm": 1.4129183292388916,
|
| 1802 |
+
"learning_rate": 0.0002,
|
| 1803 |
+
"loss": 0.6823,
|
| 1804 |
+
"step": 2530
|
| 1805 |
+
},
|
| 1806 |
+
{
|
| 1807 |
+
"epoch": 3.9137134052388287,
|
| 1808 |
+
"grad_norm": 1.7380712032318115,
|
| 1809 |
+
"learning_rate": 0.0002,
|
| 1810 |
+
"loss": 0.7092,
|
| 1811 |
+
"step": 2540
|
| 1812 |
+
},
|
| 1813 |
+
{
|
| 1814 |
+
"epoch": 3.9291217257318953,
|
| 1815 |
+
"grad_norm": 1.4169772863388062,
|
| 1816 |
+
"learning_rate": 0.0002,
|
| 1817 |
+
"loss": 0.7277,
|
| 1818 |
+
"step": 2550
|
| 1819 |
+
},
|
| 1820 |
+
{
|
| 1821 |
+
"epoch": 3.9445300462249615,
|
| 1822 |
+
"grad_norm": 2.520665168762207,
|
| 1823 |
+
"learning_rate": 0.0002,
|
| 1824 |
+
"loss": 0.7369,
|
| 1825 |
+
"step": 2560
|
| 1826 |
+
},
|
| 1827 |
+
{
|
| 1828 |
+
"epoch": 3.9599383667180277,
|
| 1829 |
+
"grad_norm": 1.2402763366699219,
|
| 1830 |
+
"learning_rate": 0.0002,
|
| 1831 |
+
"loss": 0.7815,
|
| 1832 |
+
"step": 2570
|
| 1833 |
+
},
|
| 1834 |
+
{
|
| 1835 |
+
"epoch": 3.975346687211094,
|
| 1836 |
+
"grad_norm": 1.5902904272079468,
|
| 1837 |
+
"learning_rate": 0.0002,
|
| 1838 |
+
"loss": 0.8077,
|
| 1839 |
+
"step": 2580
|
| 1840 |
+
},
|
| 1841 |
+
{
|
| 1842 |
+
"epoch": 3.99075500770416,
|
| 1843 |
+
"grad_norm": 2.2361271381378174,
|
| 1844 |
+
"learning_rate": 0.0002,
|
| 1845 |
+
"loss": 0.7272,
|
| 1846 |
+
"step": 2590
|
| 1847 |
+
},
|
| 1848 |
+
{
|
| 1849 |
+
"epoch": 4.0,
|
| 1850 |
+
"eval_loss": 1.324176549911499,
|
| 1851 |
+
"eval_runtime": 119.304,
|
| 1852 |
+
"eval_samples_per_second": 3.822,
|
| 1853 |
+
"eval_steps_per_second": 0.478,
|
| 1854 |
+
"step": 2596
|
| 1855 |
+
},
|
| 1856 |
+
{
|
| 1857 |
+
"epoch": 4.006163328197227,
|
| 1858 |
+
"grad_norm": 0.8134178519248962,
|
| 1859 |
+
"learning_rate": 0.0002,
|
| 1860 |
+
"loss": 0.6403,
|
| 1861 |
+
"step": 2600
|
| 1862 |
+
},
|
| 1863 |
+
{
|
| 1864 |
+
"epoch": 4.021571648690292,
|
| 1865 |
+
"grad_norm": 20.112083435058594,
|
| 1866 |
+
"learning_rate": 0.0002,
|
| 1867 |
+
"loss": 0.4955,
|
| 1868 |
+
"step": 2610
|
| 1869 |
+
},
|
| 1870 |
+
{
|
| 1871 |
+
"epoch": 4.036979969183359,
|
| 1872 |
+
"grad_norm": 18.01171875,
|
| 1873 |
+
"learning_rate": 0.0002,
|
| 1874 |
+
"loss": 0.5607,
|
| 1875 |
+
"step": 2620
|
| 1876 |
+
},
|
| 1877 |
+
{
|
| 1878 |
+
"epoch": 4.052388289676426,
|
| 1879 |
+
"grad_norm": 1.770273208618164,
|
| 1880 |
+
"learning_rate": 0.0002,
|
| 1881 |
+
"loss": 0.4889,
|
| 1882 |
+
"step": 2630
|
| 1883 |
+
},
|
| 1884 |
+
{
|
| 1885 |
+
"epoch": 4.067796610169491,
|
| 1886 |
+
"grad_norm": 1.943787932395935,
|
| 1887 |
+
"learning_rate": 0.0002,
|
| 1888 |
+
"loss": 0.5359,
|
| 1889 |
+
"step": 2640
|
| 1890 |
+
},
|
| 1891 |
+
{
|
| 1892 |
+
"epoch": 4.083204930662558,
|
| 1893 |
+
"grad_norm": 1.9997365474700928,
|
| 1894 |
+
"learning_rate": 0.0002,
|
| 1895 |
+
"loss": 0.5,
|
| 1896 |
+
"step": 2650
|
| 1897 |
+
},
|
| 1898 |
+
{
|
| 1899 |
+
"epoch": 4.098613251155624,
|
| 1900 |
+
"grad_norm": 1.3823848962783813,
|
| 1901 |
+
"learning_rate": 0.0002,
|
| 1902 |
+
"loss": 0.5365,
|
| 1903 |
+
"step": 2660
|
| 1904 |
+
},
|
| 1905 |
+
{
|
| 1906 |
+
"epoch": 4.11402157164869,
|
| 1907 |
+
"grad_norm": 1.4237934350967407,
|
| 1908 |
+
"learning_rate": 0.0002,
|
| 1909 |
+
"loss": 0.5,
|
| 1910 |
+
"step": 2670
|
| 1911 |
+
},
|
| 1912 |
+
{
|
| 1913 |
+
"epoch": 4.129429892141757,
|
| 1914 |
+
"grad_norm": 1.6521705389022827,
|
| 1915 |
+
"learning_rate": 0.0002,
|
| 1916 |
+
"loss": 0.5579,
|
| 1917 |
+
"step": 2680
|
| 1918 |
+
},
|
| 1919 |
+
{
|
| 1920 |
+
"epoch": 4.144838212634823,
|
| 1921 |
+
"grad_norm": 1.2283433675765991,
|
| 1922 |
+
"learning_rate": 0.0002,
|
| 1923 |
+
"loss": 0.5014,
|
| 1924 |
+
"step": 2690
|
| 1925 |
+
},
|
| 1926 |
+
{
|
| 1927 |
+
"epoch": 4.160246533127889,
|
| 1928 |
+
"grad_norm": 1.6849380731582642,
|
| 1929 |
+
"learning_rate": 0.0002,
|
| 1930 |
+
"loss": 0.4952,
|
| 1931 |
+
"step": 2700
|
| 1932 |
+
},
|
| 1933 |
+
{
|
| 1934 |
+
"epoch": 4.175654853620955,
|
| 1935 |
+
"grad_norm": 2.493161678314209,
|
| 1936 |
+
"learning_rate": 0.0002,
|
| 1937 |
+
"loss": 0.4974,
|
| 1938 |
+
"step": 2710
|
| 1939 |
+
},
|
| 1940 |
+
{
|
| 1941 |
+
"epoch": 4.191063174114022,
|
| 1942 |
+
"grad_norm": 1.4243499040603638,
|
| 1943 |
+
"learning_rate": 0.0002,
|
| 1944 |
+
"loss": 0.502,
|
| 1945 |
+
"step": 2720
|
| 1946 |
+
},
|
| 1947 |
+
{
|
| 1948 |
+
"epoch": 4.206471494607088,
|
| 1949 |
+
"grad_norm": 2.471060037612915,
|
| 1950 |
+
"learning_rate": 0.0002,
|
| 1951 |
+
"loss": 0.5069,
|
| 1952 |
+
"step": 2730
|
| 1953 |
+
},
|
| 1954 |
+
{
|
| 1955 |
+
"epoch": 4.221879815100154,
|
| 1956 |
+
"grad_norm": 1.5935828685760498,
|
| 1957 |
+
"learning_rate": 0.0002,
|
| 1958 |
+
"loss": 0.4757,
|
| 1959 |
+
"step": 2740
|
| 1960 |
+
},
|
| 1961 |
+
{
|
| 1962 |
+
"epoch": 4.237288135593221,
|
| 1963 |
+
"grad_norm": 2.989623785018921,
|
| 1964 |
+
"learning_rate": 0.0002,
|
| 1965 |
+
"loss": 0.5223,
|
| 1966 |
+
"step": 2750
|
| 1967 |
+
},
|
| 1968 |
+
{
|
| 1969 |
+
"epoch": 4.252696456086286,
|
| 1970 |
+
"grad_norm": 1.7323458194732666,
|
| 1971 |
+
"learning_rate": 0.0002,
|
| 1972 |
+
"loss": 0.5262,
|
| 1973 |
+
"step": 2760
|
| 1974 |
+
},
|
| 1975 |
+
{
|
| 1976 |
+
"epoch": 4.268104776579353,
|
| 1977 |
+
"grad_norm": 1.6325395107269287,
|
| 1978 |
+
"learning_rate": 0.0002,
|
| 1979 |
+
"loss": 0.4389,
|
| 1980 |
+
"step": 2770
|
| 1981 |
+
},
|
| 1982 |
+
{
|
| 1983 |
+
"epoch": 4.283513097072419,
|
| 1984 |
+
"grad_norm": 2.0011212825775146,
|
| 1985 |
+
"learning_rate": 0.0002,
|
| 1986 |
+
"loss": 0.5205,
|
| 1987 |
+
"step": 2780
|
| 1988 |
+
},
|
| 1989 |
+
{
|
| 1990 |
+
"epoch": 4.298921417565485,
|
| 1991 |
+
"grad_norm": 2.3058269023895264,
|
| 1992 |
+
"learning_rate": 0.0002,
|
| 1993 |
+
"loss": 0.5638,
|
| 1994 |
+
"step": 2790
|
| 1995 |
+
},
|
| 1996 |
+
{
|
| 1997 |
+
"epoch": 4.314329738058552,
|
| 1998 |
+
"grad_norm": 1.360182762145996,
|
| 1999 |
+
"learning_rate": 0.0002,
|
| 2000 |
+
"loss": 0.5479,
|
| 2001 |
+
"step": 2800
|
| 2002 |
+
},
|
| 2003 |
+
{
|
| 2004 |
+
"epoch": 4.329738058551618,
|
| 2005 |
+
"grad_norm": 1.7124749422073364,
|
| 2006 |
+
"learning_rate": 0.0002,
|
| 2007 |
+
"loss": 0.4765,
|
| 2008 |
+
"step": 2810
|
| 2009 |
+
},
|
| 2010 |
+
{
|
| 2011 |
+
"epoch": 4.345146379044684,
|
| 2012 |
+
"grad_norm": 1.439314603805542,
|
| 2013 |
+
"learning_rate": 0.0002,
|
| 2014 |
+
"loss": 0.5113,
|
| 2015 |
+
"step": 2820
|
| 2016 |
+
},
|
| 2017 |
+
{
|
| 2018 |
+
"epoch": 4.36055469953775,
|
| 2019 |
+
"grad_norm": 1.5941680669784546,
|
| 2020 |
+
"learning_rate": 0.0002,
|
| 2021 |
+
"loss": 0.502,
|
| 2022 |
+
"step": 2830
|
| 2023 |
+
},
|
| 2024 |
+
{
|
| 2025 |
+
"epoch": 4.375963020030817,
|
| 2026 |
+
"grad_norm": 1.8157657384872437,
|
| 2027 |
+
"learning_rate": 0.0002,
|
| 2028 |
+
"loss": 0.5283,
|
| 2029 |
+
"step": 2840
|
| 2030 |
+
},
|
| 2031 |
+
{
|
| 2032 |
+
"epoch": 4.391371340523883,
|
| 2033 |
+
"grad_norm": 1.754032015800476,
|
| 2034 |
+
"learning_rate": 0.0002,
|
| 2035 |
+
"loss": 0.5379,
|
| 2036 |
+
"step": 2850
|
| 2037 |
+
},
|
| 2038 |
+
{
|
| 2039 |
+
"epoch": 4.406779661016949,
|
| 2040 |
+
"grad_norm": 2.0685315132141113,
|
| 2041 |
+
"learning_rate": 0.0002,
|
| 2042 |
+
"loss": 0.539,
|
| 2043 |
+
"step": 2860
|
| 2044 |
+
},
|
| 2045 |
+
{
|
| 2046 |
+
"epoch": 4.422187981510016,
|
| 2047 |
+
"grad_norm": 1.605820655822754,
|
| 2048 |
+
"learning_rate": 0.0002,
|
| 2049 |
+
"loss": 0.525,
|
| 2050 |
+
"step": 2870
|
| 2051 |
+
},
|
| 2052 |
+
{
|
| 2053 |
+
"epoch": 4.437596302003081,
|
| 2054 |
+
"grad_norm": 1.7439035177230835,
|
| 2055 |
+
"learning_rate": 0.0002,
|
| 2056 |
+
"loss": 0.5254,
|
| 2057 |
+
"step": 2880
|
| 2058 |
+
},
|
| 2059 |
+
{
|
| 2060 |
+
"epoch": 4.453004622496148,
|
| 2061 |
+
"grad_norm": 2.0108375549316406,
|
| 2062 |
+
"learning_rate": 0.0002,
|
| 2063 |
+
"loss": 0.5594,
|
| 2064 |
+
"step": 2890
|
| 2065 |
+
},
|
| 2066 |
+
{
|
| 2067 |
+
"epoch": 4.4684129429892145,
|
| 2068 |
+
"grad_norm": 1.7569063901901245,
|
| 2069 |
+
"learning_rate": 0.0002,
|
| 2070 |
+
"loss": 0.5695,
|
| 2071 |
+
"step": 2900
|
| 2072 |
+
},
|
| 2073 |
+
{
|
| 2074 |
+
"epoch": 4.48382126348228,
|
| 2075 |
+
"grad_norm": 1.544561743736267,
|
| 2076 |
+
"learning_rate": 0.0002,
|
| 2077 |
+
"loss": 0.566,
|
| 2078 |
+
"step": 2910
|
| 2079 |
+
},
|
| 2080 |
+
{
|
| 2081 |
+
"epoch": 4.499229583975347,
|
| 2082 |
+
"grad_norm": 1.3701506853103638,
|
| 2083 |
+
"learning_rate": 0.0002,
|
| 2084 |
+
"loss": 0.4984,
|
| 2085 |
+
"step": 2920
|
| 2086 |
+
},
|
| 2087 |
+
{
|
| 2088 |
+
"epoch": 4.514637904468413,
|
| 2089 |
+
"grad_norm": 1.2095595598220825,
|
| 2090 |
+
"learning_rate": 0.0002,
|
| 2091 |
+
"loss": 0.5695,
|
| 2092 |
+
"step": 2930
|
| 2093 |
+
},
|
| 2094 |
+
{
|
| 2095 |
+
"epoch": 4.530046224961479,
|
| 2096 |
+
"grad_norm": 1.7037502527236938,
|
| 2097 |
+
"learning_rate": 0.0002,
|
| 2098 |
+
"loss": 0.5415,
|
| 2099 |
+
"step": 2940
|
| 2100 |
+
},
|
| 2101 |
+
{
|
| 2102 |
+
"epoch": 4.545454545454545,
|
| 2103 |
+
"grad_norm": 2.8776841163635254,
|
| 2104 |
+
"learning_rate": 0.0002,
|
| 2105 |
+
"loss": 0.5179,
|
| 2106 |
+
"step": 2950
|
| 2107 |
+
},
|
| 2108 |
+
{
|
| 2109 |
+
"epoch": 4.560862865947612,
|
| 2110 |
+
"grad_norm": 1.360141634941101,
|
| 2111 |
+
"learning_rate": 0.0002,
|
| 2112 |
+
"loss": 0.5832,
|
| 2113 |
+
"step": 2960
|
| 2114 |
+
},
|
| 2115 |
+
{
|
| 2116 |
+
"epoch": 4.576271186440678,
|
| 2117 |
+
"grad_norm": 1.6299976110458374,
|
| 2118 |
+
"learning_rate": 0.0002,
|
| 2119 |
+
"loss": 0.5515,
|
| 2120 |
+
"step": 2970
|
| 2121 |
+
},
|
| 2122 |
+
{
|
| 2123 |
+
"epoch": 4.591679506933744,
|
| 2124 |
+
"grad_norm": 2.0980679988861084,
|
| 2125 |
+
"learning_rate": 0.0002,
|
| 2126 |
+
"loss": 0.5466,
|
| 2127 |
+
"step": 2980
|
| 2128 |
+
},
|
| 2129 |
+
{
|
| 2130 |
+
"epoch": 4.6070878274268106,
|
| 2131 |
+
"grad_norm": 1.5481915473937988,
|
| 2132 |
+
"learning_rate": 0.0002,
|
| 2133 |
+
"loss": 0.5325,
|
| 2134 |
+
"step": 2990
|
| 2135 |
+
},
|
| 2136 |
+
{
|
| 2137 |
+
"epoch": 4.622496147919877,
|
| 2138 |
+
"grad_norm": 1.1016762256622314,
|
| 2139 |
+
"learning_rate": 0.0002,
|
| 2140 |
+
"loss": 0.5168,
|
| 2141 |
+
"step": 3000
|
| 2142 |
+
},
|
| 2143 |
+
{
|
| 2144 |
+
"epoch": 4.637904468412943,
|
| 2145 |
+
"grad_norm": 1.8467375040054321,
|
| 2146 |
+
"learning_rate": 0.0002,
|
| 2147 |
+
"loss": 0.5374,
|
| 2148 |
+
"step": 3010
|
| 2149 |
+
},
|
| 2150 |
+
{
|
| 2151 |
+
"epoch": 4.6533127889060095,
|
| 2152 |
+
"grad_norm": 1.7077717781066895,
|
| 2153 |
+
"learning_rate": 0.0002,
|
| 2154 |
+
"loss": 0.5274,
|
| 2155 |
+
"step": 3020
|
| 2156 |
+
},
|
| 2157 |
+
{
|
| 2158 |
+
"epoch": 4.668721109399075,
|
| 2159 |
+
"grad_norm": 1.6364675760269165,
|
| 2160 |
+
"learning_rate": 0.0002,
|
| 2161 |
+
"loss": 0.5666,
|
| 2162 |
+
"step": 3030
|
| 2163 |
+
},
|
| 2164 |
+
{
|
| 2165 |
+
"epoch": 4.684129429892142,
|
| 2166 |
+
"grad_norm": 1.3262457847595215,
|
| 2167 |
+
"learning_rate": 0.0002,
|
| 2168 |
+
"loss": 0.5072,
|
| 2169 |
+
"step": 3040
|
| 2170 |
+
},
|
| 2171 |
+
{
|
| 2172 |
+
"epoch": 4.699537750385208,
|
| 2173 |
+
"grad_norm": 1.6521623134613037,
|
| 2174 |
+
"learning_rate": 0.0002,
|
| 2175 |
+
"loss": 0.5281,
|
| 2176 |
+
"step": 3050
|
| 2177 |
+
},
|
| 2178 |
+
{
|
| 2179 |
+
"epoch": 4.714946070878274,
|
| 2180 |
+
"grad_norm": 1.1765156984329224,
|
| 2181 |
+
"learning_rate": 0.0002,
|
| 2182 |
+
"loss": 0.5036,
|
| 2183 |
+
"step": 3060
|
| 2184 |
+
},
|
| 2185 |
+
{
|
| 2186 |
+
"epoch": 4.730354391371341,
|
| 2187 |
+
"grad_norm": 1.4242093563079834,
|
| 2188 |
+
"learning_rate": 0.0002,
|
| 2189 |
+
"loss": 0.5251,
|
| 2190 |
+
"step": 3070
|
| 2191 |
+
},
|
| 2192 |
+
{
|
| 2193 |
+
"epoch": 4.745762711864407,
|
| 2194 |
+
"grad_norm": 1.9651737213134766,
|
| 2195 |
+
"learning_rate": 0.0002,
|
| 2196 |
+
"loss": 0.5471,
|
| 2197 |
+
"step": 3080
|
| 2198 |
+
},
|
| 2199 |
+
{
|
| 2200 |
+
"epoch": 4.761171032357473,
|
| 2201 |
+
"grad_norm": 1.9256596565246582,
|
| 2202 |
+
"learning_rate": 0.0002,
|
| 2203 |
+
"loss": 0.5504,
|
| 2204 |
+
"step": 3090
|
| 2205 |
+
},
|
| 2206 |
+
{
|
| 2207 |
+
"epoch": 4.776579352850539,
|
| 2208 |
+
"grad_norm": 1.4493910074234009,
|
| 2209 |
+
"learning_rate": 0.0002,
|
| 2210 |
+
"loss": 0.5452,
|
| 2211 |
+
"step": 3100
|
| 2212 |
+
},
|
| 2213 |
+
{
|
| 2214 |
+
"epoch": 4.7919876733436055,
|
| 2215 |
+
"grad_norm": 1.9169608354568481,
|
| 2216 |
+
"learning_rate": 0.0002,
|
| 2217 |
+
"loss": 0.559,
|
| 2218 |
+
"step": 3110
|
| 2219 |
+
},
|
| 2220 |
+
{
|
| 2221 |
+
"epoch": 4.807395993836672,
|
| 2222 |
+
"grad_norm": 1.585694670677185,
|
| 2223 |
+
"learning_rate": 0.0002,
|
| 2224 |
+
"loss": 0.5357,
|
| 2225 |
+
"step": 3120
|
| 2226 |
+
},
|
| 2227 |
+
{
|
| 2228 |
+
"epoch": 4.822804314329738,
|
| 2229 |
+
"grad_norm": 1.8497015237808228,
|
| 2230 |
+
"learning_rate": 0.0002,
|
| 2231 |
+
"loss": 0.5627,
|
| 2232 |
+
"step": 3130
|
| 2233 |
+
},
|
| 2234 |
+
{
|
| 2235 |
+
"epoch": 4.8382126348228045,
|
| 2236 |
+
"grad_norm": 1.4345619678497314,
|
| 2237 |
+
"learning_rate": 0.0002,
|
| 2238 |
+
"loss": 0.5604,
|
| 2239 |
+
"step": 3140
|
| 2240 |
+
},
|
| 2241 |
+
{
|
| 2242 |
+
"epoch": 4.85362095531587,
|
| 2243 |
+
"grad_norm": 1.3929195404052734,
|
| 2244 |
+
"learning_rate": 0.0002,
|
| 2245 |
+
"loss": 0.5771,
|
| 2246 |
+
"step": 3150
|
| 2247 |
+
},
|
| 2248 |
+
{
|
| 2249 |
+
"epoch": 4.869029275808937,
|
| 2250 |
+
"grad_norm": 1.9688060283660889,
|
| 2251 |
+
"learning_rate": 0.0002,
|
| 2252 |
+
"loss": 0.6083,
|
| 2253 |
+
"step": 3160
|
| 2254 |
+
},
|
| 2255 |
+
{
|
| 2256 |
+
"epoch": 4.8844375963020035,
|
| 2257 |
+
"grad_norm": 1.7507604360580444,
|
| 2258 |
+
"learning_rate": 0.0002,
|
| 2259 |
+
"loss": 0.5391,
|
| 2260 |
+
"step": 3170
|
| 2261 |
+
},
|
| 2262 |
+
{
|
| 2263 |
+
"epoch": 4.899845916795069,
|
| 2264 |
+
"grad_norm": 2.4209811687469482,
|
| 2265 |
+
"learning_rate": 0.0002,
|
| 2266 |
+
"loss": 0.5527,
|
| 2267 |
+
"step": 3180
|
| 2268 |
+
},
|
| 2269 |
+
{
|
| 2270 |
+
"epoch": 4.915254237288136,
|
| 2271 |
+
"grad_norm": 2.582061529159546,
|
| 2272 |
+
"learning_rate": 0.0002,
|
| 2273 |
+
"loss": 0.5557,
|
| 2274 |
+
"step": 3190
|
| 2275 |
+
},
|
| 2276 |
+
{
|
| 2277 |
+
"epoch": 4.9306625577812015,
|
| 2278 |
+
"grad_norm": 1.6832361221313477,
|
| 2279 |
+
"learning_rate": 0.0002,
|
| 2280 |
+
"loss": 0.559,
|
| 2281 |
+
"step": 3200
|
| 2282 |
+
},
|
| 2283 |
+
{
|
| 2284 |
+
"epoch": 4.946070878274268,
|
| 2285 |
+
"grad_norm": 1.2785899639129639,
|
| 2286 |
+
"learning_rate": 0.0002,
|
| 2287 |
+
"loss": 0.5078,
|
| 2288 |
+
"step": 3210
|
| 2289 |
+
},
|
| 2290 |
+
{
|
| 2291 |
+
"epoch": 4.961479198767334,
|
| 2292 |
+
"grad_norm": 1.4990512132644653,
|
| 2293 |
+
"learning_rate": 0.0002,
|
| 2294 |
+
"loss": 0.5644,
|
| 2295 |
+
"step": 3220
|
| 2296 |
+
},
|
| 2297 |
+
{
|
| 2298 |
+
"epoch": 4.9768875192604005,
|
| 2299 |
+
"grad_norm": 1.751932978630066,
|
| 2300 |
+
"learning_rate": 0.0002,
|
| 2301 |
+
"loss": 0.5827,
|
| 2302 |
+
"step": 3230
|
| 2303 |
+
},
|
| 2304 |
+
{
|
| 2305 |
+
"epoch": 4.992295839753467,
|
| 2306 |
+
"grad_norm": 1.843894124031067,
|
| 2307 |
+
"learning_rate": 0.0002,
|
| 2308 |
+
"loss": 0.6049,
|
| 2309 |
+
"step": 3240
|
| 2310 |
+
},
|
| 2311 |
+
{
|
| 2312 |
+
"epoch": 5.0,
|
| 2313 |
+
"eval_loss": 1.4627584218978882,
|
| 2314 |
+
"eval_runtime": 119.266,
|
| 2315 |
+
"eval_samples_per_second": 3.823,
|
| 2316 |
+
"eval_steps_per_second": 0.478,
|
| 2317 |
+
"step": 3245
|
| 2318 |
+
}
|
| 2319 |
+
],
|
| 2320 |
+
"logging_steps": 10,
|
| 2321 |
+
"max_steps": 5192,
|
| 2322 |
+
"num_input_tokens_seen": 0,
|
| 2323 |
+
"num_train_epochs": 8,
|
| 2324 |
+
"save_steps": 200,
|
| 2325 |
+
"stateful_callbacks": {
|
| 2326 |
+
"TrainerControl": {
|
| 2327 |
+
"args": {
|
| 2328 |
+
"should_epoch_stop": false,
|
| 2329 |
+
"should_evaluate": false,
|
| 2330 |
+
"should_log": false,
|
| 2331 |
+
"should_save": true,
|
| 2332 |
+
"should_training_stop": false
|
| 2333 |
+
},
|
| 2334 |
+
"attributes": {}
|
| 2335 |
+
}
|
| 2336 |
+
},
|
| 2337 |
+
"total_flos": 1.42373488164864e+17,
|
| 2338 |
+
"train_batch_size": 1,
|
| 2339 |
+
"trial_name": null,
|
| 2340 |
+
"trial_params": null
|
| 2341 |
+
}
|