---
library_name: transformers
license: apache-2.0
base_model: PlanTL-GOB-ES/roberta-base-bne-sqac
tags:
- generated_from_trainer
datasets:
- sqac
model-index:
- name: Mi-roberta-QA
  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. -->

# Mi-roberta-QA

This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne-sqac](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne-sqac) on the sqac dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2207

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0567        | 1.0   | 940  | 2.4296          |
| 0.0309        | 2.0   | 1880 | 2.6465          |
| 0.0198        | 3.0   | 2820 | 2.5772          |
| 0.0084        | 4.0   | 3760 | 2.9885          |
| 0.0081        | 5.0   | 4700 | 3.0342          |
| 0.0028        | 6.0   | 5640 | 3.1098          |
| 0.0004        | 7.0   | 6580 | 3.1946          |
| 0.0001        | 8.0   | 7520 | 3.2207          |


### Framework versions

- Transformers 4.47.0.dev0
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.20.3