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spanish-disease-tagger
mrojas/spanish-disease-tagger
spanish-disease-tagger is a token classification model from mrojas. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Jan 11, 2023
- Updated
- Jan 11, 2023
- SHA
- e24e0208
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Datasets
Model card
From the Hugging Face model README
<!-- 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. -->
spanish-disease-tagger
This model is a fine-tuned version of plncmm/roberta-clinical-wl-es on the disease dataset. It achieves the following results on the evaluation set:
- Loss: 0.1786
- Precision: 0.8385
- Recall: 0.8711
- F1: 0.8545
- Accuracy: 0.9488
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.2217 | 1.0 | 502 | 0.1698 | 0.8142 | 0.8587 | 0.8359 | 0.9437 |
| 0.1203 | 2.0 | 1004 | 0.1735 | 0.8513 | 0.8528 | 0.8520 | 0.9473 |
| 0.093 | 3.0 | 1506 | 0.1786 | 0.8385 | 0.8711 | 0.8545 | 0.9488 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
- Task
- Token Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Jan 11, 2023
- Updated
- Jan 11, 2023