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CTEBMSP_bsc_test
This model is a fine-tuned version of PlanTL-GOB-ES/bsc-bio-ehr-es on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0557
- Diso Precision: 0.8917
- Diso Recall: 0.8968
- Diso F1: 0.8943
- Diso Number: 2645
- Overall Precision: 0.8917
- Overall Recall: 0.8968
- Overall F1: 0.8943
- Overall Accuracy: 0.9898
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=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Diso Precision | Diso Recall | Diso F1 | Diso Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0382 | 1.0 | 1570 | 0.0421 | 0.8610 | 0.8922 | 0.8763 | 2645 | 0.8610 | 0.8922 | 0.8763 | 0.9880 |
| 0.016 | 2.0 | 3140 | 0.0407 | 0.8767 | 0.9009 | 0.8887 | 2645 | 0.8767 | 0.9009 | 0.8887 | 0.9896 |
| 0.0066 | 3.0 | 4710 | 0.0485 | 0.8962 | 0.8941 | 0.8952 | 2645 | 0.8962 | 0.8941 | 0.8952 | 0.9900 |
| 0.0023 | 4.0 | 6280 | 0.0557 | 0.8917 | 0.8968 | 0.8943 | 2645 | 0.8917 | 0.8968 | 0.8943 | 0.9898 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
