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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: CTEBMSP_bsc_test
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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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# CTEBMSP_bsc_test
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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: 0.1283
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- Diso Precision: 0.7592
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- Diso Recall: 0.7889
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- Diso F1: 0.7738
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- Diso Number: 1407
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- Overall Precision: 0.7592
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- Overall Recall: 0.7889
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- Overall F1: 0.7738
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- Overall Accuracy: 0.9744
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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: 4e-05
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- train_batch_size: 8
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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: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Diso Precision | Diso Recall | Diso F1 | Diso Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:-----------:|:-------:|:-----------:|:-----------------:|:--------------:|:----------:|:----------------:|
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| 0.1383 | 1.0 | 997 | 0.0983 | 0.7184 | 0.6780 | 0.6976 | 1407 | 0.7184 | 0.6780 | 0.6976 | 0.9679 |
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| 0.0538 | 2.0 | 1994 | 0.0970 | 0.7231 | 0.7498 | 0.7362 | 1407 | 0.7231 | 0.7498 | 0.7362 | 0.9714 |
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| 0.0273 | 3.0 | 2991 | 0.1060 | 0.7456 | 0.7896 | 0.7670 | 1407 | 0.7456 | 0.7896 | 0.7670 | 0.9742 |
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| 0.0121 | 4.0 | 3988 | 0.1283 | 0.7592 | 0.7889 | 0.7738 | 1407 | 0.7592 | 0.7889 | 0.7738 | 0.9744 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.0+cu116
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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