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bsc-bio-ehr-es-symptemist-fasttext-8-ner
Rodrigo1771/bsc-bio-ehr-es-symptemist-fasttext-8-ner
bsc-bio-ehr-es-symptemist-fasttext-8-ner is a token classification model from Rodrigo1771. 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
- Sep 9, 2024
- Updated
- Sep 9, 2024
- SHA
- 8a12c6ed
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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. -->
output
This model is a fine-tuned version of PlanTL-GOB-ES/bsc-bio-ehr-es on the Rodrigo1771/symptemist-fasttext-8-ner dataset. It achieves the following results on the evaluation set:
- Loss: 0.3073
- Precision: 0.6764
- Recall: 0.7219
- F1: 0.6984
- Accuracy: 0.9500
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 0.9975 | 203 | 0.1501 | 0.5960 | 0.6338 | 0.6143 | 0.9468 |
| No log | 2.0 | 407 | 0.1761 | 0.6529 | 0.6940 | 0.6729 | 0.9492 |
| 0.1312 | 2.9975 | 610 | 0.1995 | 0.6322 | 0.7170 | 0.6720 | 0.9470 |
| 0.1312 | 4.0 | 814 | 0.2182 | 0.6446 | 0.7137 | 0.6774 | 0.9483 |
| 0.0248 | 4.9975 | 1017 | 0.2461 | 0.6251 | 0.7219 | 0.6701 | 0.9449 |
| 0.0248 | 6.0 | 1221 | 0.2695 | 0.6410 | 0.7302 | 0.6827 | 0.9469 |
| 0.0248 | 6.9975 | 1424 | 0.2829 | 0.6529 | 0.7340 | 0.6911 | 0.9470 |
| 0.0081 | 8.0 | 1628 | 0.2982 | 0.6711 | 0.7181 | 0.6938 | 0.9494 |
| 0.0081 | 8.9975 | 1831 | 0.3073 | 0.6764 | 0.7219 | 0.6984 | 0.9500 |
| 0.0038 | 9.9754 | 2030 | 0.3079 | 0.6713 | 0.7165 | 0.6931 | 0.9500 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Sep 9, 2024
- Updated
- Sep 9, 2024