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bert-finetuned-ner-clinical-plncmm-large-5
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: 0.1711
- Precision: 0.7424
- Recall: 0.8317
- F1: 0.7845
- Accuracy: 0.9419
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: 32
- 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 |
---|---|---|---|---|---|---|---|
No log | 1.0 | 429 | 0.2356 | 0.7 | 0.8106 | 0.7513 | 0.9230 |
0.319 | 2.0 | 858 | 0.2420 | 0.7454 | 0.8310 | 0.7859 | 0.9289 |
0.1627 | 3.0 | 1287 | 0.2382 | 0.7544 | 0.8244 | 0.7878 | 0.9321 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3