---
tags:
- generated_from_trainer
model-index:
- name: ner-bert-base-spanish-wwm-uncased
  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. -->

# ner-bert-base-spanish-wwm-uncased

This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0598
- Body Part Precision: 0.0
- Body Part Recall: 0.0
- Body Part F1: 0.0
- Body Part Number: 0
- Disease Precision: 0.0
- Disease Recall: 0.0
- Disease F1: 0.0
- Disease Number: 0
- Medication Precision: 0.0
- Medication Recall: 0.0
- Medication F1: 0.0
- Medication Number: 0
- Procedure Precision: 0.0
- Procedure Recall: 0.0
- Procedure F1: 0.0
- Procedure Number: 0
- Overall Precision: 0.0
- Overall Recall: 0.0
- Overall F1: 0.0
- Overall Accuracy: 0.7077

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 13
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Body Part Precision | Body Part Recall | Body Part F1 | Body Part Number | Disease Precision | Disease Recall | Disease F1 | Disease Number | Medication Precision | Medication Recall | Medication F1 | Medication Number | Procedure Precision | Procedure Recall | Procedure F1 | Procedure Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:-------------------:|:----------------:|:------------:|:----------------:|:-----------------:|:--------------:|:----------:|:--------------:|:--------------------:|:-----------------:|:-------------:|:-----------------:|:-------------------:|:----------------:|:------------:|:----------------:|:-----------------:|:--------------:|:----------:|:----------------:|
| 0.6071        | 1.0   | 125  | 1.0598          | 0.0                 | 0.0              | 0.0          | 0                | 0.0               | 0.0            | 0.0        | 0              | 0.0                  | 0.0               | 0.0           | 0                 | 0.0                 | 0.0              | 0.0          | 0                | 0.0               | 0.0            | 0.0        | 0.7077           |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3