| --- |
| license: apache-2.0 |
| base_model: PlanTL-GOB-ES/bsc-bio-ehr-es |
| tags: |
| - generated_from_trainer |
| metrics: |
| - precision |
| - f1 |
| model-index: |
| - name: finetuning-0 |
| results: [] |
| --- |
| |
| <!-- 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. --> |
|
|
| # finetuning-0 |
|
|
| This model is a fine-tuned version of [PlanTL-GOB-ES/bsc-bio-ehr-es](https://huggingface.co/PlanTL-GOB-ES/bsc-bio-ehr-es) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2446 |
| - Precision: 0.9615 |
| - Sensitivity: 0.8065 |
| - F1: 0.8772 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 8 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Precision | Sensitivity | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:-----------:|:------:| |
| | 0.3577 | 1.27 | 150 | 0.2695 | 0.9615 | 0.5376 | 0.6897 | |
| | 0.1836 | 2.54 | 300 | 0.2239 | 0.9545 | 0.6774 | 0.7925 | |
| | 0.1518 | 3.81 | 450 | 0.1970 | 0.9481 | 0.7849 | 0.8588 | |
| | 0.1129 | 5.08 | 600 | 0.2098 | 0.9620 | 0.8172 | 0.8837 | |
| | 0.0688 | 6.36 | 750 | 0.2758 | 0.9853 | 0.7204 | 0.8323 | |
| | 0.0592 | 7.63 | 900 | 0.2446 | 0.9615 | 0.8065 | 0.8772 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.38.2 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
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|
