| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - cantemist-ner |
| metrics: |
| - f1 |
| model-index: |
| - name: biomedical-roberta-finetuned-cantemist-test |
| results: |
| - task: |
| name: Token Classification |
| type: token-classification |
| dataset: |
| name: cantemist-ner |
| type: cantemist-ner |
| config: CantemistNer |
| split: train |
| args: CantemistNer |
| metrics: |
| - name: F1 |
| type: f1 |
| value: 0.8379235519946587 |
| --- |
| |
| <!-- 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. --> |
|
|
| # biomedical-roberta-finetuned-cantemist-test |
|
|
| This model is a fine-tuned version of [PlanTL-GOB-ES/bsc-bio-ehr-es-cantemist](https://huggingface.co/PlanTL-GOB-ES/bsc-bio-ehr-es-cantemist) on the cantemist-ner dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0597 |
| - F1: 0.8379 |
|
|
| ## 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: 32 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 1 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 0.0015 | 1.0 | 607 | 0.0597 | 0.8379 | |
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|
|
| ### Framework versions |
|
|
| - Transformers 4.25.1 |
| - Pytorch 1.13.0+cu116 |
| - Datasets 2.7.1 |
| - Tokenizers 0.13.2 |
|
|
