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---
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
|