---
license: cc-by-4.0
base_model: bertin-project/bertin-roberta-base-spanish
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my-model-Bertin-Area
  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. -->

# my-model-Bertin-Area

This model is a fine-tuned version of [bertin-project/bertin-roberta-base-spanish](https://huggingface.co/bertin-project/bertin-roberta-base-spanish) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5347
- Accuracy: 0.3885

## 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: 100
- eval_batch_size: 100
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.8826        | 1.0   | 7    | 1.7742          | 0.2590   |
| 1.6982        | 2.0   | 14   | 1.7521          | 0.2806   |
| 1.6317        | 3.0   | 21   | 1.6768          | 0.3022   |
| 1.5322        | 4.0   | 28   | 1.6329          | 0.3597   |
| 1.3803        | 5.0   | 35   | 1.6064          | 0.3597   |
| 1.2126        | 6.0   | 42   | 1.5785          | 0.3813   |
| 1.072         | 7.0   | 49   | 1.5532          | 0.3885   |
| 0.9604        | 8.0   | 56   | 1.5330          | 0.3885   |
| 0.876         | 9.0   | 63   | 1.5345          | 0.3957   |
| 0.8119        | 10.0  | 70   | 1.5347          | 0.3885   |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1