| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: DisTEMIST_bsc_test1 |
| | 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. --> |
| |
|
| | # DisTEMIST_bsc_test1 |
| |
|
| | 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: 0.1876 |
| | - Diso Precision: 0.7529 |
| | - Diso Recall: 0.7818 |
| | - Diso F1: 0.7671 |
| | - Diso Number: 1407 |
| | - Overall Precision: 0.7529 |
| | - Overall Recall: 0.7818 |
| | - Overall F1: 0.7671 |
| | - Overall Accuracy: 0.9744 |
| |
|
| | ## 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: 4e-05 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=2.6e-09 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 73 |
| | - num_epochs: 10 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Diso Precision | Diso Recall | Diso F1 | Diso Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------------:|:-----------:|:-------:|:-----------:|:-----------------:|:--------------:|:----------:|:----------------:| |
| | | 0.1734 | 1.0 | 997 | 0.1084 | 0.7166 | 0.6397 | 0.6759 | 1407 | 0.7166 | 0.6397 | 0.6759 | 0.9656 | |
| | | 0.0589 | 2.0 | 1994 | 0.0896 | 0.7249 | 0.7662 | 0.7450 | 1407 | 0.7249 | 0.7662 | 0.7450 | 0.9725 | |
| | | 0.0288 | 3.0 | 2991 | 0.1162 | 0.7199 | 0.7910 | 0.7538 | 1407 | 0.7199 | 0.7910 | 0.7538 | 0.9725 | |
| | | 0.0163 | 4.0 | 3988 | 0.1267 | 0.7434 | 0.7783 | 0.7604 | 1407 | 0.7434 | 0.7783 | 0.7604 | 0.9731 | |
| | | 0.0096 | 5.0 | 4985 | 0.1362 | 0.7406 | 0.7832 | 0.7613 | 1407 | 0.7406 | 0.7832 | 0.7613 | 0.9748 | |
| | | 0.0047 | 6.0 | 5982 | 0.1573 | 0.7619 | 0.7711 | 0.7665 | 1407 | 0.7619 | 0.7711 | 0.7665 | 0.9745 | |
| | | 0.0041 | 7.0 | 6979 | 0.1773 | 0.7083 | 0.7939 | 0.7487 | 1407 | 0.7083 | 0.7939 | 0.7487 | 0.9691 | |
| | | 0.0019 | 8.0 | 7976 | 0.1682 | 0.7441 | 0.7811 | 0.7621 | 1407 | 0.7441 | 0.7811 | 0.7621 | 0.9741 | |
| | | 0.0012 | 9.0 | 8973 | 0.1823 | 0.7507 | 0.7811 | 0.7656 | 1407 | 0.7507 | 0.7811 | 0.7656 | 0.9743 | |
| | | 0.0004 | 10.0 | 9970 | 0.1876 | 0.7529 | 0.7818 | 0.7671 | 1407 | 0.7529 | 0.7818 | 0.7671 | 0.9744 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.25.1 |
| | - Pytorch 1.13.0+cu116 |
| | - Datasets 2.8.0 |
| | - Tokenizers 0.13.2 |
| | |
