| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| datasets: |
| - generator |
| base_model: mistralai/Mixtral-8x7B-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-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) on the generator dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.6342 |
|
|
| ## 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: 100 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.8073 | 0.05 | 10 | 1.9071 | |
| | 1.7475 | 0.1 | 20 | 1.8399 | |
| | 1.7063 | 0.15 | 30 | 1.7673 | |
| | 1.6365 | 0.2 | 40 | 1.7175 | |
| | 1.6161 | 0.25 | 50 | 1.6894 | |
| | 1.6024 | 0.3 | 60 | 1.6687 | |
| | 1.6022 | 0.35 | 70 | 1.6535 | |
| | 1.5431 | 0.4 | 80 | 1.6428 | |
| | 1.5343 | 0.45 | 90 | 1.6364 | |
| | 1.5398 | 0.5 | 100 | 1.6342 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.7.1 |
| - Transformers 4.36.2 |
| - Pytorch 2.1.2+cu121 |
| - Datasets 2.16.0 |
| - Tokenizers 0.15.0 |
