| license: apache-2.0 | |
| library_name: peft | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - precision | |
| - recall | |
| - accuracy | |
| base_model: mistralai/Mistral-7B-v0.1 | |
| model-index: | |
| - name: one_half_data_high_rank_even_more_params | |
| 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. --> | |
| # one_half_data_high_rank_even_more_params | |
| 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: 0.7115 | |
| - Precision: 0.8275 | |
| - Recall: 0.9492 | |
| - F1-score: 0.8842 | |
| - Accuracy: 0.8394 | |
| ## 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: 0.0001 | |
| - train_batch_size: 8 | |
| - 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_ratio: 0.1 | |
| - num_epochs: 1 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1-score | Accuracy | | |
| |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:--------:|:--------:| | |
| | 0.5522 | 1.0 | 24544 | 0.7115 | 0.8275 | 0.9492 | 0.8842 | 0.8394 | | |
| ### Framework versions | |
| - PEFT 0.9.0 | |
| - Transformers 4.38.2 | |
| - Pytorch 2.1.0+cu121 | |
| - Datasets 2.18.0 | |
| - Tokenizers 0.15.2 |