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--- |
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license: apache-2.0 |
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base_model: PlanTL-GOB-ES/bsc-bio-ehr-es |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- f1 |
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model-index: |
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- name: finetuning-0 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# finetuning-0 |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2446 |
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- Precision: 0.9615 |
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- Sensitivity: 0.8065 |
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- F1: 0.8772 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Sensitivity | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:-----------:|:------:| |
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| 0.3577 | 1.27 | 150 | 0.2695 | 0.9615 | 0.5376 | 0.6897 | |
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| 0.1836 | 2.54 | 300 | 0.2239 | 0.9545 | 0.6774 | 0.7925 | |
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| 0.1518 | 3.81 | 450 | 0.1970 | 0.9481 | 0.7849 | 0.8588 | |
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| 0.1129 | 5.08 | 600 | 0.2098 | 0.9620 | 0.8172 | 0.8837 | |
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| 0.0688 | 6.36 | 750 | 0.2758 | 0.9853 | 0.7204 | 0.8323 | |
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| 0.0592 | 7.63 | 900 | 0.2446 | 0.9615 | 0.8065 | 0.8772 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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