| --- |
| base_model: meta-llama/Llama-2-7b-chat-hf |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: Llama2_7B_chat_LR |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # Llama2_7B_chat_LR |
| |
| This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.2693 |
| |
| ## Model description |
| |
| More information needed |
| |
| ## Intended uses & limitations |
| |
| More information needed |
| |
| ## Training and evaluation data |
| |
| More information needed |
| |
| ## Training procedure |
| |
| ### Training hyperparameters |
| |
| The following hyperparameters were used during training: |
| - learning_rate: 0.0002 |
| - train_batch_size: 6 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 6 |
| - total_train_batch_size: 36 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.05 |
| - num_epochs: 1 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 2.5075 | 0.21 | 6 | 2.4168 | |
| | 2.29 | 0.42 | 12 | 2.3278 | |
| | 2.2582 | 0.62 | 18 | 2.2871 | |
| | 2.3052 | 0.83 | 24 | 2.2693 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.35.2 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
| |
