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bert-finetuned-ner-clinical-plncmm-7
This model is a fine-tuned version of plncmm/beto-clinical-wl-es on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2617
- Precision: 0.7412
- Recall: 0.8019
- F1: 0.7704
- Accuracy: 0.9267
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
0.3637 | 1.0 | 502 | 0.2448 | 0.6896 | 0.7925 | 0.7375 | 0.9170 |
0.1764 | 2.0 | 1004 | 0.2372 | 0.7328 | 0.8008 | 0.7653 | 0.9246 |
0.1169 | 3.0 | 1506 | 0.2617 | 0.7412 | 0.8019 | 0.7704 | 0.9267 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3