| | --- |
| | 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: get_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. --> |
| |
|
| | # get_python |
| | |
| | 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 | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 0.8326 | 0.09 | 50 | 0.7046 | |
| | | 0.6404 | 0.18 | 100 | 0.6080 | |
| | | 0.5771 | 0.27 | 150 | 0.5701 | |
| | | 0.5637 | 0.36 | 200 | 0.5662 | |
| | | 0.552 | 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 |
