---
license: cc-by-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bertin-roberta-base-spanish-finetuned-recores
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bertin-roberta-base-spanish-finetuned-recores

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:
- Loss: 4.2985
- Accuracy: 0.3581

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.6065        | 1.0   | 1047 | 1.5944          | 0.2948   |
| 1.4913        | 2.0   | 2094 | 2.4456          | 0.3581   |
| 0.7893        | 3.0   | 3141 | 3.4247          | 0.3691   |
| 0.2117        | 4.0   | 4188 | 3.9878          | 0.3526   |
| 0.0509        | 5.0   | 5235 | 4.2985          | 0.3581   |


### Framework versions

- Transformers 4.19.0
- Pytorch 1.11.0+cu113
- Datasets 2.2.1
- Tokenizers 0.12.1