---
library_name: transformers
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
model-index:
- name: modelo_clasificacion_violencia
  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. -->

# modelo_clasificacion_violencia

This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2464

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 6    | 0.6229          |
| No log        | 2.0   | 12   | 0.4628          |
| No log        | 3.0   | 18   | 0.4669          |
| No log        | 4.0   | 24   | 0.4111          |
| No log        | 5.0   | 30   | 0.2842          |
| No log        | 6.0   | 36   | 0.2585          |
| No log        | 7.0   | 42   | 0.4619          |
| No log        | 8.0   | 48   | 0.1994          |
| No log        | 9.0   | 54   | 0.2443          |
| No log        | 10.0  | 60   | 0.2464          |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0