| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| base_model: mistralai/Mistral-7B-v0.1 |
| model-index: |
| - name: multilabel_classification |
| 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. --> |
|
|
| # multilabel_classification |
| |
| This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1275 |
| - F1 Micro: 0.8546 |
| - F1 Macro: 0.5865 |
| - Accuracy: 0.9780 |
| |
| ## 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: cosine |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 3 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:| |
| | No log | 1.0 | 255 | 0.2939 | 0.8282 | 0.5696 | 0.9604 | |
| | 0.7587 | 2.0 | 510 | 0.1965 | 0.8546 | 0.5865 | 0.9780 | |
| | 0.7587 | 3.0 | 765 | 0.1275 | 0.8546 | 0.5865 | 0.9780 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.8.2 |
| - Transformers 4.37.2 |
| - Pytorch 2.2.0+cu121 |
| - Datasets 2.17.0 |
| - Tokenizers 0.15.2 |
