---
license: cc-by-4.0
tags:
- generated_from_trainer
base_model: bertin-project/bertin-roberta-base-spanish
model-index:
- name: ClasificadorV4
  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. -->

# ClasificadorV4

This model is a fine-tuned version of [bertin-project/bertin-roberta-base-spanish](https://huggingface.co/bertin-project/bertin-roberta-base-spanish) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.1803
- eval_accuracy: 0.5668
- eval_off_by_one_accuracy: 0.949
- eval_f1: 0.5696
- eval_recall: 0.5668
- eval_runtime: 16.9577
- eval_samples_per_second: 294.851
- eval_steps_per_second: 11.794
- epoch: 2.2917
- step: 11000

## 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: 25
- eval_batch_size: 25
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1