| license: apache-2.0 | |
| base_model: mistralai/Mistral-7B-Instruct-v0.1 | |
| tags: | |
| - generated_from_trainer | |
| 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: 1.3096 | |
| ## 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: 4 | |
| - 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 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | 1.5234 | 0.02 | 20 | 1.3713 | | |
| | 1.4518 | 0.03 | 40 | 1.3347 | | |
| | 1.4292 | 0.05 | 60 | 1.3225 | | |
| | 1.4286 | 0.06 | 80 | 1.3142 | | |
| | 1.4276 | 0.08 | 100 | 1.3096 | | |
| ### Framework versions | |
| - Transformers 4.35.0 | |
| - Pytorch 2.1.0+cu118 | |
| - Datasets 2.14.6 | |
| - Tokenizers 0.14.1 | |