| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| datasets: |
| - generator |
| base_model: mistralai/Mistral-7B-Instruct-v0.2 |
| model-index: |
| - name: mistral_instruct_generation |
| 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. --> |
|
|
| # mistral_instruct_generation |
|
|
| This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4281 |
|
|
| ## 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: 0.0003 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.8896 | 1.0 | 17 | 0.6754 | |
| | 0.5429 | 2.0 | 34 | 0.4964 | |
| | 0.4271 | 3.0 | 51 | 0.4475 | |
| | 0.386 | 4.0 | 68 | 0.4246 | |
| | 0.3377 | 5.0 | 85 | 0.4118 | |
| | 0.3068 | 6.0 | 102 | 0.4102 | |
| | 0.29 | 7.0 | 119 | 0.4088 | |
| | 0.2638 | 8.0 | 136 | 0.4112 | |
| | 0.2424 | 9.0 | 153 | 0.4268 | |
| | 0.2317 | 10.0 | 170 | 0.4281 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.10.0 |
| - Transformers 4.39.3 |
| - Pytorch 2.2.2+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
