| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| datasets: |
| - generator |
| base_model: mistralai/Mixtral-8x7B-Instruct-v0.1 |
| model-index: |
| - name: Mixtral_Alpace_v2 |
| 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. --> |
|
|
| # Mixtral_Alpace_v2 |
|
|
| This model is a fine-tuned version of [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) on the generator dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.4981 |
|
|
| ## 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: 2.5e-05 |
| - train_batch_size: 32 |
| - 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_steps: 0.03 |
| - training_steps: 200 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 3.9673 | 0.83 | 10 | 3.6269 | |
| | 3.4669 | 1.67 | 20 | 3.0746 | |
| | 2.9203 | 2.5 | 30 | 2.5429 | |
| | 2.4531 | 3.33 | 40 | 2.2297 | |
| | 2.2242 | 4.17 | 50 | 2.1009 | |
| | 2.1178 | 5.0 | 60 | 2.0032 | |
| | 2.0242 | 5.83 | 70 | 1.9231 | |
| | 1.9462 | 6.67 | 80 | 1.8525 | |
| | 1.8682 | 7.5 | 90 | 1.7921 | |
| | 1.8218 | 8.33 | 100 | 1.7383 | |
| | 1.754 | 9.17 | 110 | 1.6900 | |
| | 1.7197 | 10.0 | 120 | 1.6468 | |
| | 1.672 | 10.83 | 130 | 1.6101 | |
| | 1.6248 | 11.67 | 140 | 1.5791 | |
| | 1.5936 | 12.5 | 150 | 1.5526 | |
| | 1.581 | 13.33 | 160 | 1.5324 | |
| | 1.5688 | 14.17 | 170 | 1.5168 | |
| | 1.5307 | 15.0 | 180 | 1.5066 | |
| | 1.532 | 15.83 | 190 | 1.5001 | |
| | 1.5254 | 16.67 | 200 | 1.4981 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.7.1 |
| - Transformers 4.36.2 |
| - Pytorch 2.1.2+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.0 |
