---
license: cc-by-4.0
tags:
- generated_from_trainer
model-index:
- name: CTEBMSP_ner_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_ner_test

This model is a fine-tuned version of [chizhikchi/Spanish_disease_finder](https://huggingface.co/chizhikchi/Spanish_disease_finder) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0560
- Diso Precision: 0.8925
- Diso Recall: 0.8945
- Diso F1: 0.8935
- Diso Number: 2645
- Overall Precision: 0.8925
- Overall Recall: 0.8945
- Overall F1: 0.8935
- Overall Accuracy: 0.9899

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:-----------:|:-------:|:-----------:|:-----------------:|:--------------:|:----------:|:----------------:|
| 0.04          | 1.0   | 1570 | 0.0439          | 0.8410         | 0.8858      | 0.8628  | 2645        | 0.8410            | 0.8858         | 0.8628     | 0.9877           |
| 0.0173        | 2.0   | 3140 | 0.0487          | 0.8728         | 0.8843      | 0.8785  | 2645        | 0.8728            | 0.8843         | 0.8785     | 0.9885           |
| 0.0071        | 3.0   | 4710 | 0.0496          | 0.8911         | 0.8945      | 0.8928  | 2645        | 0.8911            | 0.8945         | 0.8928     | 0.9898           |
| 0.0025        | 4.0   | 6280 | 0.0560          | 0.8925         | 0.8945      | 0.8935  | 2645        | 0.8925            | 0.8945         | 0.8935     | 0.9899           |


### Framework versions

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