<!-- 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. -->
bert-finetuned-ner-clinical-trials-1
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: 0.2968
- Precision: 0.7244
- Recall: 0.7673
- F1: 0.7452
- Accuracy: 0.9151
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 |
|---|---|---|---|---|---|---|---|
| 0.4642 | 1.0 | 502 | 0.3147 | 0.6348 | 0.7316 | 0.6798 | 0.8977 |
| 0.248 | 2.0 | 1004 | 0.2774 | 0.7073 | 0.7667 | 0.7358 | 0.9142 |
| 0.1922 | 3.0 | 1506 | 0.2844 | 0.7127 | 0.7678 | 0.7392 | 0.9132 |
| 0.1588 | 4.0 | 2008 | 0.2968 | 0.7244 | 0.7673 | 0.7452 | 0.9151 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
