metadata
tags:
- generated_from_trainer
datasets:
- sqac
model-index:
- name: bert-base-spanish-wwm-cased-finetuned-spa-squad2-es-finetuned-sqac-v2
results: []
language:
- es
bert-base-spanish-wwm-cased-finetuned-spa-squad2-es-finetuned-sqac-v2
This model is a fine-tuned version of mrm8488/bert-base-spanish-wwm-cased-finetuned-spa-squad2-es on the sqac dataset. It achieves the following results on the evaluation set:
- {'exact_match': 65.02145922746782, 'f1': 81.6651482773275}
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9417 | 1.0 | 1277 | 0.7903 |
| 0.5002 | 2.0 | 2554 | 0.8459 |
| 0.2895 | 3.0 | 3831 | 0.9482 |
Framework versions
- Transformers 4.12.5
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3