---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: CTEBMSP_bsc_test
  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. -->

# CTEBMSP_bsc_test

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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0557
- Diso Precision: 0.8917
- Diso Recall: 0.8968
- Diso F1: 0.8943
- Diso Number: 2645
- Overall Precision: 0.8917
- Overall Recall: 0.8968
- Overall F1: 0.8943
- Overall Accuracy: 0.9898

## 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: 4e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Diso Precision | Diso Recall | Diso F1 | Diso Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:-----------:|:-------:|:-----------:|:-----------------:|:--------------:|:----------:|:----------------:|
| 0.0382        | 1.0   | 1570 | 0.0421          | 0.8610         | 0.8922      | 0.8763  | 2645        | 0.8610            | 0.8922         | 0.8763     | 0.9880           |
| 0.016         | 2.0   | 3140 | 0.0407          | 0.8767         | 0.9009      | 0.8887  | 2645        | 0.8767            | 0.9009         | 0.8887     | 0.9896           |
| 0.0066        | 3.0   | 4710 | 0.0485          | 0.8962         | 0.8941      | 0.8952  | 2645        | 0.8962            | 0.8941         | 0.8952     | 0.9900           |
| 0.0023        | 4.0   | 6280 | 0.0557          | 0.8917         | 0.8968      | 0.8943  | 2645        | 0.8917            | 0.8968         | 0.8943     | 0.9898           |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2