| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| base_model: mistralai/Mistral-7B-Instruct-v0.1 |
| 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-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.4259 |
|
|
| ## 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: 1 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: constant |
| - lr_scheduler_warmup_steps: 0.03 |
| - training_steps: 100 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.7768 | 0.02 | 20 | 1.5506 | |
| | 1.5974 | 0.04 | 40 | 1.4599 | |
| | 1.5168 | 0.06 | 60 | 1.4403 | |
| | 1.5212 | 0.08 | 80 | 1.4321 | |
| | 1.3018 | 0.1 | 100 | 1.4259 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.7.1 |
| - Transformers 4.36.2 |
| - Pytorch 2.1.2+cu121 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
