metadata
tags:
- generated_from_trainer
datasets:
- squad_es
model-index:
- name: bert-base-spanish-wwm-cased-finetuned-sqac-finetuned-squad
results: []
bert-base-spanish-wwm-cased-finetuned-sqac-finetuned-squad
This model is a fine-tuned version of MMG/bert-base-spanish-wwm-cased-finetuned-sqac on the squad_es dataset. It achieves the following results on the evaluation set:
- Loss: 1.5325
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.4496 | 1.0 | 11134 | 1.5325 |
Framework versions
- Transformers 4.13.0
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3