Model save
Browse files- README.md +79 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +479 -0
README.md
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+
---
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base_model: google/gemma-2-2b-it
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library_name: peft
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license: gemma
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: Gemma-2-2B_task-1_60-samples_config-1_full_auto
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Gemma-2-2B_task-1_60-samples_config-1_full_auto
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This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9697
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-------:|:----:|:---------------:|
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| 2.3284 | 0.8696 | 5 | 2.1983 |
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| 2.161 | 1.9130 | 11 | 1.9087 |
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| 1.6845 | 2.9565 | 17 | 1.4876 |
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| 1.2931 | 4.0 | 23 | 1.1763 |
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| 0.989 | 4.8696 | 28 | 1.0414 |
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| 0.8809 | 5.9130 | 34 | 0.9824 |
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| 0.7819 | 6.9565 | 40 | 0.9496 |
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| 0.7199 | 8.0 | 46 | 0.9457 |
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| 0.654 | 8.8696 | 51 | 0.9812 |
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| 0.5351 | 9.9130 | 57 | 1.0529 |
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| 0.4639 | 10.9565 | 63 | 1.1717 |
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| 0.3218 | 12.0 | 69 | 1.4098 |
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| 0.2169 | 12.8696 | 74 | 1.5839 |
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| 0.1623 | 13.9130 | 80 | 1.8132 |
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| 0.1304 | 14.9565 | 86 | 1.9697 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.0
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- Pytorch 2.1.2+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 83115256
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:bfafee81b3689606804f0407edbce36d195e3ad4f68aa514c6a46f7f42fedb6d
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size 83115256
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all_results.json
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{
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"epoch": 14.956521739130435,
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"total_flos": 2945762073772032.0,
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"train_loss": 0.9078863977866117,
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"train_runtime": 312.4754,
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"train_samples": 46,
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"train_samples_per_second": 7.361,
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"train_steps_per_second": 0.8
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}
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train_results.json
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{
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"epoch": 14.956521739130435,
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"total_flos": 2945762073772032.0,
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"train_loss": 0.9078863977866117,
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"train_runtime": 312.4754,
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"train_samples": 46,
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"train_samples_per_second": 7.361,
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"train_steps_per_second": 0.8
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}
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trainer_state.json
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.9456735253334045,
|
| 3 |
+
"best_model_checkpoint": "data/Gemma-2-2B_task-1_60-samples_config-1_full_auto/checkpoint-46",
|
| 4 |
+
"epoch": 14.956521739130435,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 86,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
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"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.17391304347826086,
|
| 13 |
+
"grad_norm": 1.3397960662841797,
|
| 14 |
+
"learning_rate": 4.000000000000001e-06,
|
| 15 |
+
"loss": 2.2159,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.34782608695652173,
|
| 20 |
+
"grad_norm": 1.3249859809875488,
|
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