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bert-finetuned-ner-clinical-trials-2
This model is a fine-tuned version of lcampillos/roberta-es-clinical-trials-ner on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3516
- Precision: 0.7329
- Recall: 0.7755
- F1: 0.7536
- Accuracy: 0.9141
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: 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: 4
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
0.158 | 1.0 | 502 | 0.3028 | 0.7104 | 0.7700 | 0.7390 | 0.9144 |
0.1061 | 2.0 | 1004 | 0.3578 | 0.7020 | 0.7772 | 0.7377 | 0.9094 |
0.123 | 3.0 | 1506 | 0.3296 | 0.7237 | 0.7750 | 0.7485 | 0.9139 |
0.1007 | 4.0 | 2008 | 0.3516 | 0.7329 | 0.7755 | 0.7536 | 0.9141 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3