| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| datasets: |
| - generator |
| base_model: TheBloke/Mistral-7B-Instruct-v0.1-GPTQ |
| model-index: |
| - name: python_code_from_algo |
| 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. --> |
|
|
| # python_code_from_algo |
| |
| This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.1-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.1-GPTQ) on the generator dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5718 |
| |
| ## 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: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 16 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: constant |
| - lr_scheduler_warmup_ratio: 0.03 |
| - training_steps: 250 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.8344 | 0.09 | 50 | 0.7093 | |
| | 0.6462 | 0.18 | 100 | 0.6182 | |
| | 0.5822 | 0.27 | 150 | 0.5691 | |
| | 0.5625 | 0.36 | 200 | 0.5667 | |
| | 0.5498 | 0.44 | 250 | 0.5718 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.8.2 |
| - Transformers 4.37.2 |
| - Pytorch 2.2.0 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.1 |
