| | --- |
| | license: llama2 |
| | library_name: peft |
| | tags: |
| | - trl |
| | - sft |
| | - generated_from_trainer |
| | base_model: meta-llama/Llama-2-7b-chat-hf |
| | model-index: |
| | - name: Llama-2-code-python |
| | 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. --> |
| |
|
| | # Llama-2-code-python |
| |
|
| | 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: 1.0589 |
| |
|
| | ## 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: 2e-05 |
| | - train_batch_size: 6 |
| | - eval_batch_size: 6 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 24 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - num_epochs: 3 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 1.612 | 0.3183 | 30 | 1.6686 | |
| | | 1.4094 | 0.6366 | 60 | 1.4388 | |
| | | 1.2172 | 0.9549 | 90 | 1.2583 | |
| | | 1.0647 | 1.2732 | 120 | 1.1357 | |
| | | 1.0144 | 1.5915 | 150 | 1.0771 | |
| | | 1.0622 | 1.9098 | 180 | 1.0643 | |
| | | 1.045 | 2.2281 | 210 | 1.0599 | |
| | | 1.0739 | 2.5464 | 240 | 1.0588 | |
| | | 1.0306 | 2.8647 | 270 | 1.0589 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.11.1 |
| | - Transformers 4.41.0 |
| | - Pytorch 2.3.0+cu121 |
| | - Datasets 2.19.1 |
| | - Tokenizers 0.19.1 |
