---
base_model: dccuchile/bert-base-spanish-wwm-cased
tags:
- generated_from_trainer
model-index:
- name: bert-base-spanish-wwm-cased-finetuned-peppa-pig
  results: []
---

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# bert-base-spanish-wwm-cased-finetuned-peppa-pig

This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4794

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6662        | 1.0   | 4    | 1.4686          |
| 1.4925        | 2.0   | 8    | 1.6261          |
| 1.3818        | 3.0   | 12   | 1.6258          |
| 1.4205        | 4.0   | 16   | 1.4041          |
| 1.3356        | 5.0   | 20   | 1.5202          |
| 1.3471        | 6.0   | 24   | 1.2713          |
| 1.304         | 7.0   | 28   | 1.3747          |
| 1.2367        | 8.0   | 32   | 1.0912          |
| 1.3582        | 9.0   | 36   | 1.3397          |
| 1.2332        | 10.0  | 40   | 1.3367          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3