---
license: cc-by-4.0
tags:
- generated_from_trainer
model-index:
- name: CTEBMSP_ner_test2
  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_ner_test2

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: 0.0586
- Diso Precision: 0.8836
- Diso Recall: 0.8902
- Diso F1: 0.8869
- Diso Number: 4052
- Overall Precision: 0.8836
- Overall Recall: 0.8902
- Overall F1: 0.8869
- Overall Accuracy: 0.9885

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------------:|:-----------:|:-------:|:-----------:|:-----------------:|:--------------:|:----------:|:----------------:|
| 0.0463        | 1.0   | 2566  | 0.0512          | 0.8791         | 0.8384      | 0.8583  | 4052        | 0.8791            | 0.8384         | 0.8583     | 0.9859           |
| 0.0204        | 2.0   | 5132  | 0.0615          | 0.8942         | 0.8655      | 0.8796  | 4052        | 0.8942            | 0.8655         | 0.8796     | 0.9875           |
| 0.0095        | 3.0   | 7698  | 0.0545          | 0.8877         | 0.8776      | 0.8826  | 4052        | 0.8877            | 0.8776         | 0.8826     | 0.9881           |
| 0.0045        | 4.0   | 10264 | 0.0586          | 0.8836         | 0.8902      | 0.8869  | 4052        | 0.8836            | 0.8902         | 0.8869     | 0.9885           |


### Framework versions

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