| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ |
| datasets: |
| - conala |
| model-index: |
| - name: pythonexcel |
| 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. --> |
|
|
| # pythonexcel |
|
|
| This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on the conala dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.8689 |
|
|
| ## 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: 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: linear |
| - lr_scheduler_warmup_steps: 2 |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 2.5879 | 0.99 | 148 | 2.2851 | |
| | 2.1391 | 2.0 | 297 | 2.2367 | |
| | 1.965 | 3.0 | 446 | 2.2578 | |
| | 1.8145 | 4.0 | 595 | 2.3154 | |
| | 1.6989 | 4.99 | 743 | 2.3626 | |
| | 1.5826 | 6.0 | 892 | 2.4436 | |
| | 1.4981 | 7.0 | 1041 | 2.5986 | |
| | 1.4253 | 8.0 | 1190 | 2.6764 | |
| | 1.3716 | 8.99 | 1338 | 2.7948 | |
| | 1.3224 | 9.95 | 1480 | 2.8689 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.10.0 |
| - Transformers 4.39.3 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
