| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - precision | |
| - recall | |
| - f1 | |
| - accuracy | |
| model-index: | |
| - name: nubes_test | |
| 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. --> | |
| # nubes_test | |
| This model is a fine-tuned version of [PlanTL-GOB-ES/bsc-bio-ehr-es](https://huggingface.co/PlanTL-GOB-ES/bsc-bio-ehr-es) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.1333 | |
| - Precision: 0.8783 | |
| - Recall: 0.9154 | |
| - F1: 0.8965 | |
| - Accuracy: 0.9717 | |
| ## 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: 2e-05 | |
| - 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: linear | |
| - num_epochs: 4 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| | |
| | 0.1266 | 1.0 | 1726 | 0.1112 | 0.8348 | 0.8856 | 0.8594 | 0.9676 | | |
| | 0.0731 | 2.0 | 3452 | 0.1175 | 0.8766 | 0.9008 | 0.8885 | 0.9716 | | |
| | 0.0443 | 3.0 | 5178 | 0.1218 | 0.8829 | 0.9076 | 0.8951 | 0.9717 | | |
| | 0.0289 | 4.0 | 6904 | 0.1333 | 0.8783 | 0.9154 | 0.8965 | 0.9717 | | |
| ### Framework versions | |
| - Transformers 4.26.0 | |
| - Pytorch 1.13.1+cu116 | |
| - Datasets 2.9.0 | |
| - Tokenizers 0.13.2 | |