---
license: apache-2.0
base_model: PlanTL-GOB-ES/RoBERTalex
tags:
- generated_from_trainer
model-index:
- name: bert-leg-al-perplexity
  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. -->

# bert-leg-al-perplexity

This model is a fine-tuned version of [PlanTL-GOB-ES/RoBERTalex](https://huggingface.co/PlanTL-GOB-ES/RoBERTalex) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2238

## 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-06
- train_batch_size: 16
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 63   | 2.3119          |
| No log        | 2.0   | 126  | 2.1746          |
| No log        | 3.0   | 189  | 2.1621          |
| No log        | 4.0   | 252  | 2.2585          |
| No log        | 5.0   | 315  | 2.2080          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2