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bsc-bio-ehr-es-symptemist-fasttext-75-ner
Rodrigo1771/bsc-bio-ehr-es-symptemist-fasttext-75-ner
bsc-bio-ehr-es-symptemist-fasttext-75-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
- 2450f41c
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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-75-ner dataset. It achieves the following results on the evaluation set:
- Loss: 0.3374
- Precision: 0.6784
- Recall: 0.7159
- F1: 0.6967
- Accuracy: 0.9490
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 | 1.0 | 258 | 0.1517 | 0.6354 | 0.6448 | 0.6400 | 0.9488 |
| 0.1357 | 2.0 | 516 | 0.2025 | 0.6306 | 0.7137 | 0.6696 | 0.9460 |
| 0.1357 | 3.0 | 774 | 0.2294 | 0.6649 | 0.7039 | 0.6839 | 0.9496 |
| 0.0238 | 4.0 | 1032 | 0.2818 | 0.6689 | 0.7066 | 0.6873 | 0.9492 |
| 0.0238 | 5.0 | 1290 | 0.2762 | 0.6528 | 0.7039 | 0.6774 | 0.9487 |
| 0.0081 | 6.0 | 1548 | 0.2938 | 0.6663 | 0.7203 | 0.6923 | 0.9484 |
| 0.0081 | 7.0 | 1806 | 0.3145 | 0.6789 | 0.7001 | 0.6893 | 0.9499 |
| 0.0039 | 8.0 | 2064 | 0.3267 | 0.6686 | 0.7055 | 0.6866 | 0.9491 |
| 0.0039 | 9.0 | 2322 | 0.3374 | 0.6784 | 0.7159 | 0.6967 | 0.9490 |
| 0.0021 | 10.0 | 2580 | 0.3400 | 0.6827 | 0.7077 | 0.6950 | 0.9495 |
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