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

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# bert-base-spanish-wwm-cased-finetuned-literature-pro

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: 1.9425

## 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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.2669        | 1.0   | 9787  | 2.0414          |
| 2.111         | 2.0   | 19574 | 1.9735          |
| 2.0512        | 3.0   | 29361 | 1.9413          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2