| license: llama2 | |
| library_name: peft | |
| tags: | |
| - trl | |
| - sft | |
| - generated_from_trainer | |
| base_model: TheBloke/CodeLlama-7B-Instruct-AWQ | |
| model-index: | |
| - name: CodeLlama-7B-Instruct-AWQ-FaVe-rank16-1epochs | |
| 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. --> | |
| # CodeLlama-7B-Instruct-AWQ-FaVe-rank16-1epochs | |
| This model is a fine-tuned version of [TheBloke/CodeLlama-7B-Instruct-AWQ](https://huggingface.co/TheBloke/CodeLlama-7B-Instruct-AWQ) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.6654 | |
| ## 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: 0.001 | |
| - train_batch_size: 1 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 4 | |
| - total_train_batch_size: 4 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 10 | |
| - num_epochs: 1 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:------:|:----:|:---------------:| | |
| | No log | 0.2685 | 10 | 1.2101 | | |
| | 1.5041 | 0.5369 | 20 | 0.7715 | | |
| | 1.5041 | 0.8054 | 30 | 0.6654 | | |
| ### Framework versions | |
| - PEFT 0.10.0 | |
| - Transformers 4.40.2 | |
| - Pytorch 2.2.1+cu121 | |
| - Datasets 2.19.1 | |
| - Tokenizers 0.19.1 |