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clinico-bsc-bio-ehr-es-longformer
This model is a fine-tuned version of PlanTL-GOB-ES/longformer-base-4096-bne-es on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6428
- Precision: 0.3546
- Recall: 0.5613
- F1: 0.4346
- Accuracy: 0.8453
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 196 | 0.6951 | 0.1691 | 0.2915 | 0.2141 | 0.7928 |
| No log | 2.0 | 392 | 0.5699 | 0.2181 | 0.3708 | 0.2746 | 0.8210 |
| 0.7641 | 3.0 | 588 | 0.5545 | 0.2822 | 0.4736 | 0.3536 | 0.8287 |
| 0.7641 | 4.0 | 784 | 0.5516 | 0.2947 | 0.4915 | 0.3685 | 0.8421 |
| 0.7641 | 5.0 | 980 | 0.6118 | 0.3314 | 0.5368 | 0.4098 | 0.8338 |
| 0.3503 | 6.0 | 1176 | 0.6115 | 0.3391 | 0.5396 | 0.4165 | 0.8389 |
| 0.3503 | 7.0 | 1372 | 0.6407 | 0.3362 | 0.5509 | 0.4176 | 0.8377 |
| 0.2184 | 8.0 | 1568 | 0.6300 | 0.3312 | 0.55 | 0.4135 | 0.8380 |
| 0.2184 | 9.0 | 1764 | 0.6393 | 0.3646 | 0.5566 | 0.4406 | 0.8451 |
| 0.2184 | 10.0 | 1960 | 0.6428 | 0.3546 | 0.5613 | 0.4346 | 0.8453 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
