| --- |
| base_model: mistralai/Mistral-7B-v0.1 |
| library_name: peft |
| license: apache-2.0 |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| model-index: |
| - name: lc_v3 |
| 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. --> |
|
|
| # lc_v3 |
| |
| This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.2901 |
| |
| ## 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: 1 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - num_epochs: 9 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.3446 | 1.0 | 90 | 1.3456 | |
| | 1.2406 | 2.0 | 180 | 1.3101 | |
| | 1.2645 | 3.0 | 270 | 1.2944 | |
| | 1.3111 | 4.0 | 360 | 1.2891 | |
| | 1.2212 | 5.0 | 450 | 1.2879 | |
| | 1.2865 | 6.0 | 540 | 1.2887 | |
| | 1.1752 | 7.0 | 630 | 1.2897 | |
| | 1.163 | 8.0 | 720 | 1.2901 | |
| | 1.2103 | 9.0 | 810 | 1.2901 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.11.1 |
| - Transformers 4.41.2 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
