---
base_model: dccuchile/bert-base-spanish-wwm-uncased
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: beto_lectura_facil_clasif
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# beto_lectura_facil_clasif

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: 0.2389
- Accuracy: 0.9637

## 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: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 331  | 0.1670          | 0.9667   |
| 0.1878        | 2.0   | 662  | 0.1269          | 0.9773   |
| 0.1878        | 3.0   | 993  | 0.1452          | 0.9773   |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1