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CTEBMSP_ner_test2
This model is a fine-tuned version of chizhikchi/Spanish_disease_finder on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0586
- Diso Precision: 0.8836
- Diso Recall: 0.8902
- Diso F1: 0.8869
- Diso Number: 4052
- Overall Precision: 0.8836
- Overall Recall: 0.8902
- Overall F1: 0.8869
- Overall Accuracy: 0.9885
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: 4e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 | Diso Precision | Diso Recall | Diso F1 | Diso Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
---|---|---|---|---|---|---|---|---|---|---|---|
0.0463 | 1.0 | 2566 | 0.0512 | 0.8791 | 0.8384 | 0.8583 | 4052 | 0.8791 | 0.8384 | 0.8583 | 0.9859 |
0.0204 | 2.0 | 5132 | 0.0615 | 0.8942 | 0.8655 | 0.8796 | 4052 | 0.8942 | 0.8655 | 0.8796 | 0.9875 |
0.0095 | 3.0 | 7698 | 0.0545 | 0.8877 | 0.8776 | 0.8826 | 4052 | 0.8877 | 0.8776 | 0.8826 | 0.9881 |
0.0045 | 4.0 | 10264 | 0.0586 | 0.8836 | 0.8902 | 0.8869 | 4052 | 0.8836 | 0.8902 | 0.8869 | 0.9885 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2