---
base_model: MMG/bert-base-spanish-wwm-cased-finetuned-spa-squad2-es-finetuned-sqac
tags:
- generated_from_trainer
model-index:
- name: uda_rules_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. -->

# uda_rules_qa

This model is a fine-tuned version of [MMG/bert-base-spanish-wwm-cased-finetuned-spa-squad2-es-finetuned-sqac](https://huggingface.co/MMG/bert-base-spanish-wwm-cased-finetuned-spa-squad2-es-finetuned-sqac) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7942

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.5869        | 1.0   | 12   | 1.6284          |
| 1.2133        | 2.0   | 24   | 1.0875          |
| 0.7389        | 3.0   | 36   | 0.9449          |
| 0.4553        | 4.0   | 48   | 0.8414          |
| 0.2936        | 5.0   | 60   | 0.8983          |
| 0.1767        | 6.0   | 72   | 0.9017          |
| 0.1476        | 7.0   | 84   | 0.7747          |
| 0.088         | 8.0   | 96   | 0.8623          |
| 0.0663        | 9.0   | 108  | 0.8629          |
| 0.0624        | 10.0  | 120  | 0.7942          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0