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bsc-bio-ehr-es-vih
Wariano/bsc-bio-ehr-es-vih
bsc-bio-ehr-es-vih is a text classification model from Wariano. Use it when you need a label for a piece of text. 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
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Jul 17, 2023
- Updated
- Sep 6, 2023
- SHA
- 43c4e9c0
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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. -->
bsc-bio-ehr-es-vih
This model is a fine-tuned version of PlanTL-GOB-ES/bsc-bio-ehr-es on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7596
- Accuracy: 0.7973
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: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4114 | 1.0 | 750 | 0.4680 | 0.7607 |
| 0.3066 | 2.0 | 1500 | 0.4893 | 0.764 |
| 0.2207 | 3.0 | 2250 | 0.5063 | 0.789 |
| 0.1477 | 4.0 | 3000 | 0.6689 | 0.7837 |
| 0.1051 | 5.0 | 3750 | 0.7596 | 0.7973 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Jul 17, 2023
- Updated
- Sep 6, 2023