---
license: cc-by-4.0
tags:
- generated_from_trainer
model-index:
- name: DISO_SINAI_test1
  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. -->

# DISO_SINAI_test1

This model is a fine-tuned version of [chizhikchi/Spanish_disease_finder](https://huggingface.co/chizhikchi/Spanish_disease_finder) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0807
- Diso Precision: 0.8260
- Diso Recall: 0.8247
- Diso F1: 0.8253
- Diso Number: 4552
- Overall Precision: 0.8260
- Overall Recall: 0.8247
- Overall F1: 0.8253
- Overall Accuracy: 0.9815

## 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: 2e-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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------------:|:-----------:|:-------:|:-----------:|:-----------------:|:--------------:|:----------:|:----------------:|
| 0.0629        | 1.0   | 2799  | 0.0573          | 0.8315         | 0.8014      | 0.8162  | 4552        | 0.8315            | 0.8014         | 0.8162     | 0.9813           |
| 0.0429        | 2.0   | 5598  | 0.0622          | 0.8228         | 0.8264      | 0.8246  | 4552        | 0.8228            | 0.8264         | 0.8246     | 0.9815           |
| 0.0299        | 3.0   | 8397  | 0.0689          | 0.8217         | 0.8251      | 0.8234  | 4552        | 0.8217            | 0.8251         | 0.8234     | 0.9814           |
| 0.0214        | 4.0   | 11196 | 0.0807          | 0.8260         | 0.8247      | 0.8253  | 4552        | 0.8260            | 0.8247         | 0.8253     | 0.9815           |


### Framework versions

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