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- Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/README.md +58 -0
- Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/all_results.json +8 -0
- Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/checkpoint-13881/adapter_model/README.md +204 -0
- Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/checkpoint-13881/adapter_model/adapter_config.json +32 -0
- Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/checkpoint-13881/adapter_model/adapter_model.safetensors +3 -0
- Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/config.json +28 -0
- Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/generation_config.json +10 -0
- Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/model-00001-of-00003.safetensors +3 -0
- Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/model-00002-of-00003.safetensors +3 -0
- Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/model-00003-of-00003.safetensors +3 -0
- Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/model.safetensors.index.json +298 -0
- Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/special_tokens_map.json +24 -0
- Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/tokenizer.json +0 -0
- Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/tokenizer.model +3 -0
- Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/tokenizer_config.json +41 -0
- Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/train_results.json +8 -0
- Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/trainer_state.json +0 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_2/README.md +58 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_2/all_results.json +8 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_2/config.json +28 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_2/generation_config.json +10 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_2/model-00001-of-00003.safetensors +3 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_2/model-00002-of-00003.safetensors +3 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_2/model-00003-of-00003.safetensors +3 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_2/model.safetensors.index.json +298 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_2/special_tokens_map.json +30 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_2/tokenizer.json +0 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_2/tokenizer.model +3 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_2/tokenizer_config.json +41 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_2/train_results.json +8 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_2/trainer_state.json +276 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_2/training_args.bin +3 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/README.md +58 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/all_results.json +8 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/checkpoint-123/adapter_model/README.md +204 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/checkpoint-123/adapter_model/adapter_config.json +31 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/checkpoint-123/adapter_model/adapter_model.safetensors +3 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/config.json +28 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/generation_config.json +10 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/model-00001-of-00003.safetensors +3 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/model-00002-of-00003.safetensors +3 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/model-00003-of-00003.safetensors +3 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/model.safetensors.index.json +298 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/special_tokens_map.json +24 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/tokenizer.json +0 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/tokenizer.model +3 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/tokenizer_config.json +41 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/train_results.json +8 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/trainer_state.json +768 -0
- Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_5e-5_activate_random*2_k3_warm0.06_openheadAndemb_2/README.md +58 -0
Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/README.md
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---
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base_model: /hpc2hdd/home/xliu886/workspace/models/llama-2-7b
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tags:
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- generated_from_trainer
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datasets:
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- customized
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model-index:
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- name: ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0
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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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# ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0
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This model is a fine-tuned version of [/hpc2hdd/home/xliu886/workspace/models/llama-2-7b](https://huggingface.co//hpc2hdd/home/xliu886/workspace/models/llama-2-7b) on the customized dataset.
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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: 5e-05
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- train_batch_size: 50
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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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- num_devices: 8
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- total_train_batch_size: 400
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- total_eval_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: linear
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- lr_scheduler_warmup_ratio: 0.01
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- num_epochs: 1.0
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### Training results
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### Framework versions
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- Transformers 4.37.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/all_results.json
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{
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"epoch": 1.0,
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"train_loss": 2.0616613649925197,
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"train_runtime": 126100.0596,
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"train_samples": 5552078,
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"train_samples_per_second": 44.029,
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"train_steps_per_second": 0.11
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}
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Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/checkpoint-13881/adapter_model/README.md
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| 1 |
+
---
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| 2 |
+
library_name: peft
|
| 3 |
+
base_model: /hpc2hdd/home/xliu886/workspace/models/llama-2-7b
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
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|
| 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 |
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- **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 |
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|
| 30 |
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<!-- Provide the basic links for the model. -->
|
| 31 |
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|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
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- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
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|
| 36 |
+
## Uses
|
| 37 |
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|
| 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 |
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|
| 40 |
+
### Direct Use
|
| 41 |
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|
| 42 |
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
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|
| 44 |
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[More Information Needed]
|
| 45 |
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|
| 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 |
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|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
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|
| 54 |
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
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|
| 56 |
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[More Information Needed]
|
| 57 |
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|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
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|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
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[More Information Needed]
|
| 63 |
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|
| 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 |
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|
| 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 |
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[More Information Needed]
|
| 114 |
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|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
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<!-- 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 |
+
|
| 201 |
+
|
| 202 |
+
### Framework versions
|
| 203 |
+
|
| 204 |
+
- PEFT 0.7.2.dev0
|
Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/checkpoint-13881/adapter_model/adapter_config.json
ADDED
|
@@ -0,0 +1,32 @@
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|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
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"base_model_name_or_path": "/hpc2hdd/home/xliu886/workspace/models/llama-2-7b",
|
| 5 |
+
"bias": "none",
|
| 6 |
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"fan_in_fan_out": false,
|
| 7 |
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"inference_mode": true,
|
| 8 |
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"init_lora_weights": true,
|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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"lora_dropout": 0.1,
|
| 14 |
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"megatron_config": null,
|
| 15 |
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"megatron_core": "megatron.core",
|
| 16 |
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"modules_to_save": null,
|
| 17 |
+
"peft_type": "LORA",
|
| 18 |
+
"r": 128,
|
| 19 |
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"rank_pattern": {},
|
| 20 |
+
"revision": null,
|
| 21 |
+
"target_modules": [
|
| 22 |
+
"o_proj",
|
| 23 |
+
"q_proj",
|
| 24 |
+
"gate_proj",
|
| 25 |
+
"up_proj",
|
| 26 |
+
"down_proj",
|
| 27 |
+
"k_proj",
|
| 28 |
+
"v_proj"
|
| 29 |
+
],
|
| 30 |
+
"task_type": "CAUSAL_LM",
|
| 31 |
+
"use_rslora": false
|
| 32 |
+
}
|
Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/checkpoint-13881/adapter_model/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:5949658386e08f9ab65e1c274b9351747547d4700fbd5d4c93e3e1813088689f
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| 3 |
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size 639692768
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Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/config.json
ADDED
|
@@ -0,0 +1,28 @@
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|
| 1 |
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{
|
| 2 |
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"_name_or_path": "/hpc2hdd/home/xliu886/workspace/models/llama-2-7b",
|
| 3 |
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"architectures": [
|
| 4 |
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"LlamaForCausalLM"
|
| 5 |
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],
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"intermediate_size": 11008,
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"max_position_embeddings": 4096,
|
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"model_type": "llama",
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| 16 |
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"num_attention_heads": 32,
|
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"num_hidden_layers": 32,
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| 18 |
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"num_key_value_heads": 32,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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|
| 26 |
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"use_cache": true,
|
| 27 |
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"vocab_size": 32000
|
| 28 |
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|
Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/generation_config.json
ADDED
|
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| 1 |
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{
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| 10 |
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}
|
Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/model-00001-of-00003.safetensors
ADDED
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| 1 |
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version https://git-lfs.github.com/spec/v1
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size 4938985352
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Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/model-00002-of-00003.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/model-00003-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/model.safetensors.index.json
ADDED
|
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Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/tokenizer.model
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ADDED
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|
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"bos_token": "<s>",
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
|
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+
"unk_token": "<unk>",
|
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"use_default_system_prompt": false
|
| 41 |
+
}
|
Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/train_results.json
ADDED
|
@@ -0,0 +1,8 @@
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{
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"epoch": 1.0,
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"train_runtime": 126100.0596,
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"train_samples": 5552078,
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|
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|
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}
|
Llama-2-7b-hf/c4/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_c4_10G_5e-5_lora_rank128_0/trainer_state.json
ADDED
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The diff for this file is too large to render.
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|
Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_2/README.md
ADDED
|
@@ -0,0 +1,58 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: ./output_models/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_1
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
datasets:
|
| 6 |
+
- customized
|
| 7 |
+
model-index:
|
| 8 |
+
- name: ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_2
|
| 9 |
+
results: []
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
|
| 15 |
+
# ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_2
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [./output_models/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_1](https://huggingface.co/./output_models/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_1) on the customized dataset.
|
| 18 |
+
|
| 19 |
+
## Model description
|
| 20 |
+
|
| 21 |
+
More information needed
|
| 22 |
+
|
| 23 |
+
## Intended uses & limitations
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Training and evaluation data
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training procedure
|
| 32 |
+
|
| 33 |
+
### Training hyperparameters
|
| 34 |
+
|
| 35 |
+
The following hyperparameters were used during training:
|
| 36 |
+
- learning_rate: 1e-05
|
| 37 |
+
- train_batch_size: 50
|
| 38 |
+
- eval_batch_size: 1
|
| 39 |
+
- seed: 42
|
| 40 |
+
- distributed_type: multi-GPU
|
| 41 |
+
- num_devices: 8
|
| 42 |
+
- total_train_batch_size: 400
|
| 43 |
+
- total_eval_batch_size: 8
|
| 44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 45 |
+
- lr_scheduler_type: linear
|
| 46 |
+
- lr_scheduler_warmup_ratio: 0.06
|
| 47 |
+
- num_epochs: 1.0
|
| 48 |
+
|
| 49 |
+
### Training results
|
| 50 |
+
|
| 51 |
+
|
| 52 |
+
|
| 53 |
+
### Framework versions
|
| 54 |
+
|
| 55 |
+
- Transformers 4.37.0.dev0
|
| 56 |
+
- Pytorch 2.0.0+cu117
|
| 57 |
+
- Datasets 2.16.1
|
| 58 |
+
- Tokenizers 0.15.0
|
Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_2/all_results.json
ADDED
|
@@ -0,0 +1,8 @@
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| 1 |
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{
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"epoch": 1.0,
|
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"train_runtime": 306.5634,
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"train_samples": 16323,
|
| 6 |
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"train_samples_per_second": 53.245,
|
| 7 |
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"train_steps_per_second": 0.134
|
| 8 |
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}
|
Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_2/config.json
ADDED
|
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| 1 |
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{
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"_name_or_path": "./output_models/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_1",
|
| 3 |
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"architectures": [
|
| 4 |
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"LlamaForCausalLM"
|
| 5 |
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],
|
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|
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"attention_dropout": 0.0,
|
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
|
| 11 |
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"hidden_size": 4096,
|
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"initializer_range": 0.02,
|
| 13 |
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"intermediate_size": 11008,
|
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"max_position_embeddings": 4096,
|
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"model_type": "llama",
|
| 16 |
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"num_attention_heads": 32,
|
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"num_hidden_layers": 32,
|
| 18 |
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"num_key_value_heads": 32,
|
| 19 |
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"pretraining_tp": 1,
|
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"rms_norm_eps": 1e-05,
|
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"rope_scaling": null,
|
| 22 |
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"rope_theta": 10000.0,
|
| 23 |
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"tie_word_embeddings": false,
|
| 24 |
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"torch_dtype": "bfloat16",
|
| 25 |
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"transformers_version": "4.37.0.dev0",
|
| 26 |
+
"use_cache": true,
|
| 27 |
+
"vocab_size": 32000
|
| 28 |
+
}
|
Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_2/generation_config.json
ADDED
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"temperature": 0.6,
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|
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}
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Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_2/model-00001-of-00003.safetensors
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size 4938985352
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"learning_rate": 5.859788109825737e-08,
|
| 242 |
+
"loss": 1.0991,
|
| 243 |
+
"step": 39
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 0.98,
|
| 247 |
+
"learning_rate": 4.071732272613149e-08,
|
| 248 |
+
"loss": 1.0897,
|
| 249 |
+
"step": 40
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 1.0,
|
| 253 |
+
"learning_rate": 2.6071842502326526e-08,
|
| 254 |
+
"loss": 1.0863,
|
| 255 |
+
"step": 41
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 1.0,
|
| 259 |
+
"step": 41,
|
| 260 |
+
"total_flos": 3.328832489945825e+17,
|
| 261 |
+
"train_loss": 1.087660987202714,
|
| 262 |
+
"train_runtime": 306.5634,
|
| 263 |
+
"train_samples_per_second": 53.245,
|
| 264 |
+
"train_steps_per_second": 0.134
|
| 265 |
+
}
|
| 266 |
+
],
|
| 267 |
+
"logging_steps": 1.0,
|
| 268 |
+
"max_steps": 41,
|
| 269 |
+
"num_input_tokens_seen": 0,
|
| 270 |
+
"num_train_epochs": 1,
|
| 271 |
+
"save_steps": 500,
|
| 272 |
+
"total_flos": 3.328832489945825e+17,
|
| 273 |
+
"train_batch_size": 50,
|
| 274 |
+
"trial_name": null,
|
| 275 |
+
"trial_params": null
|
| 276 |
+
}
|
Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_activate_random*2_k3_warm0.06_openheadAndemb_2/training_args.bin
ADDED
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ba6643b518e313964ab66544ce93d12a43e14242ecfcb4c50ff4aa8d624c2477
|
| 3 |
+
size 6139
|
Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/README.md
ADDED
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|
| 1 |
+
---
|
| 2 |
+
base_model: /hpc2hdd/JH_DATA/share/xliu886/xliu886_xliu886_share_models/Llama-2-7b-hf
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
datasets:
|
| 6 |
+
- customized
|
| 7 |
+
model-index:
|
| 8 |
+
- name: ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0
|
| 9 |
+
results: []
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
|
| 15 |
+
# ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [/hpc2hdd/JH_DATA/share/xliu886/xliu886_xliu886_share_models/Llama-2-7b-hf](https://huggingface.co//hpc2hdd/JH_DATA/share/xliu886/xliu886_xliu886_share_models/Llama-2-7b-hf) on the customized dataset.
|
| 18 |
+
|
| 19 |
+
## Model description
|
| 20 |
+
|
| 21 |
+
More information needed
|
| 22 |
+
|
| 23 |
+
## Intended uses & limitations
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Training and evaluation data
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training procedure
|
| 32 |
+
|
| 33 |
+
### Training hyperparameters
|
| 34 |
+
|
| 35 |
+
The following hyperparameters were used during training:
|
| 36 |
+
- learning_rate: 1e-05
|
| 37 |
+
- train_batch_size: 50
|
| 38 |
+
- eval_batch_size: 1
|
| 39 |
+
- seed: 42
|
| 40 |
+
- distributed_type: multi-GPU
|
| 41 |
+
- num_devices: 8
|
| 42 |
+
- total_train_batch_size: 400
|
| 43 |
+
- total_eval_batch_size: 8
|
| 44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 45 |
+
- lr_scheduler_type: linear
|
| 46 |
+
- lr_scheduler_warmup_ratio: 0.01
|
| 47 |
+
- num_epochs: 1.0
|
| 48 |
+
|
| 49 |
+
### Training results
|
| 50 |
+
|
| 51 |
+
|
| 52 |
+
|
| 53 |
+
### Framework versions
|
| 54 |
+
|
| 55 |
+
- Transformers 4.37.0.dev0
|
| 56 |
+
- Pytorch 2.0.0+cu117
|
| 57 |
+
- Datasets 2.16.1
|
| 58 |
+
- Tokenizers 0.15.0
|
Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/all_results.json
ADDED
|
@@ -0,0 +1,8 @@
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| 1 |
+
{
|
| 2 |
+
"epoch": 1.0,
|
| 3 |
+
"train_loss": 1.3257994971624234,
|
| 4 |
+
"train_runtime": 982.6299,
|
| 5 |
+
"train_samples": 48917,
|
| 6 |
+
"train_samples_per_second": 49.782,
|
| 7 |
+
"train_steps_per_second": 0.125
|
| 8 |
+
}
|
Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/checkpoint-123/adapter_model/README.md
ADDED
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@@ -0,0 +1,204 @@
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|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
base_model: /hpc2hdd/JH_DATA/share/xliu886/xliu886_xliu886_share_models/Llama-2-7b-hf
|
| 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 |
+
|
| 201 |
+
|
| 202 |
+
### Framework versions
|
| 203 |
+
|
| 204 |
+
- PEFT 0.7.2.dev0
|
Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/checkpoint-123/adapter_model/adapter_config.json
ADDED
|
@@ -0,0 +1,31 @@
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|
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|
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|
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|
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|
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|
| 14 |
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|
| 16 |
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|
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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"dense",
|
| 25 |
+
"q_proj",
|
| 26 |
+
"v_proj",
|
| 27 |
+
"fc2"
|
| 28 |
+
],
|
| 29 |
+
"task_type": "CAUSAL_LM",
|
| 30 |
+
"use_rslora": false
|
| 31 |
+
}
|
Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/checkpoint-123/adapter_model/adapter_model.safetensors
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Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/generation_config.json
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Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/ft_Llama-2-7b-hf_adamw_gpt4_v2_1e-5_lora_rank128_0/model-00001-of-00003.safetensors
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|
Llama-2-7b-hf/ft_Llama-2-7b-hf_adamw_gpt4_v2_5e-5_activate_random*2_k3_warm0.06_openheadAndemb_2/README.md
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| 1 |
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---
|
| 2 |
+
base_model: ./output_models/ft_Llama-2-7b-hf_adamw_gpt4_v2_5e-5_activate_random*2_k3_warm0.06_openheadAndemb_1
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
datasets:
|
| 6 |
+
- customized
|
| 7 |
+
model-index:
|
| 8 |
+
- name: ft_Llama-2-7b-hf_adamw_gpt4_v2_5e-5_activate_random*2_k3_warm0.06_openheadAndemb_2
|
| 9 |
+
results: []
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
|
| 15 |
+
# ft_Llama-2-7b-hf_adamw_gpt4_v2_5e-5_activate_random*2_k3_warm0.06_openheadAndemb_2
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| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [./output_models/ft_Llama-2-7b-hf_adamw_gpt4_v2_5e-5_activate_random*2_k3_warm0.06_openheadAndemb_1](https://huggingface.co/./output_models/ft_Llama-2-7b-hf_adamw_gpt4_v2_5e-5_activate_random*2_k3_warm0.06_openheadAndemb_1) on the customized dataset.
|
| 18 |
+
|
| 19 |
+
## Model description
|
| 20 |
+
|
| 21 |
+
More information needed
|
| 22 |
+
|
| 23 |
+
## Intended uses & limitations
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Training and evaluation data
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training procedure
|
| 32 |
+
|
| 33 |
+
### Training hyperparameters
|
| 34 |
+
|
| 35 |
+
The following hyperparameters were used during training:
|
| 36 |
+
- learning_rate: 5e-05
|
| 37 |
+
- train_batch_size: 50
|
| 38 |
+
- eval_batch_size: 1
|
| 39 |
+
- seed: 42
|
| 40 |
+
- distributed_type: multi-GPU
|
| 41 |
+
- num_devices: 8
|
| 42 |
+
- total_train_batch_size: 400
|
| 43 |
+
- total_eval_batch_size: 8
|
| 44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 45 |
+
- lr_scheduler_type: linear
|
| 46 |
+
- lr_scheduler_warmup_ratio: 0.06
|
| 47 |
+
- num_epochs: 1.0
|
| 48 |
+
|
| 49 |
+
### Training results
|
| 50 |
+
|
| 51 |
+
|
| 52 |
+
|
| 53 |
+
### Framework versions
|
| 54 |
+
|
| 55 |
+
- Transformers 4.37.0.dev0
|
| 56 |
+
- Pytorch 2.0.0+cu117
|
| 57 |
+
- Datasets 2.16.1
|
| 58 |
+
- Tokenizers 0.15.0
|