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bsc-bio-ehr-es-symptemist-fasttext-9-ner
Rodrigo1771/bsc-bio-ehr-es-symptemist-fasttext-9-ner
bsc-bio-ehr-es-symptemist-fasttext-9-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
- b0362e33
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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-9-ner dataset. It achieves the following results on the evaluation set:
- Loss: 0.2450
- Precision: 0.6660
- Recall: 0.7258
- F1: 0.6946
- Accuracy: 0.9497
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 | 0.9968 | 155 | 0.1485 | 0.5669 | 0.6218 | 0.5931 | 0.9436 |
| No log | 2.0 | 311 | 0.1609 | 0.5623 | 0.7159 | 0.6299 | 0.9409 |
| No log | 2.9968 | 466 | 0.1635 | 0.6210 | 0.7219 | 0.6677 | 0.9487 |
| 0.1246 | 4.0 | 622 | 0.2047 | 0.6659 | 0.6765 | 0.6712 | 0.9493 |
| 0.1246 | 4.9968 | 777 | 0.2134 | 0.6562 | 0.7115 | 0.6828 | 0.9480 |
| 0.1246 | 6.0 | 933 | 0.2259 | 0.6518 | 0.7099 | 0.6796 | 0.9494 |
| 0.0242 | 6.9968 | 1088 | 0.2450 | 0.6660 | 0.7258 | 0.6946 | 0.9497 |
| 0.0242 | 8.0 | 1244 | 0.2650 | 0.6491 | 0.7230 | 0.6841 | 0.9491 |
| 0.0242 | 8.9968 | 1399 | 0.2745 | 0.6646 | 0.7126 | 0.6878 | 0.9498 |
| 0.0083 | 9.9678 | 1550 | 0.2774 | 0.6628 | 0.7187 | 0.6896 | 0.9503 |
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