---
tags:
- generated_from_trainer
model-index:
- name: nominal-groups-recognition-bert-base-spanish-wwm-cased
  results: []
---

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# nominal-groups-recognition-bert-base-spanish-wwm-cased

This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co./dccuchile/bert-base-spanish-wwm-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2837
- Ng Precision: 0.7207
- Ng Recall: 0.7761
- Ng F1: 0.7474
- Ng Number: 3198
- Overall Precision: 0.7207
- Overall Recall: 0.7761
- Overall F1: 0.7474
- Overall Accuracy: 0.8982

## 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: 16
- eval_batch_size: 16
- seed: 13
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Ng Precision | Ng Recall | Ng F1  | Ng Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------------:|:---------:|:------:|:---------:|:-----------------:|:--------------:|:----------:|:----------------:|
| No log        | 1.0   | 114  | 0.2899          | 0.6950       | 0.7473    | 0.7202 | 3198      | 0.6950            | 0.7473         | 0.7202     | 0.8889           |
| No log        | 2.0   | 228  | 0.2792          | 0.7171       | 0.7674    | 0.7414 | 3198      | 0.7171            | 0.7674         | 0.7414     | 0.8969           |
| No log        | 3.0   | 342  | 0.2837          | 0.7207       | 0.7761    | 0.7474 | 3198      | 0.7207            | 0.7761         | 0.7474     | 0.8982           |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3