metadata
library_name: transformers
base_model: dccuchile/bert-base-spanish-wwm-cased
tags:
- generated_from_trainer
model-index:
- name: fge-robos-qa-model
results: []
fge-robos-qa-model
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8956
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 OptimizerNames.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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 229 | 1.0382 |
| No log | 2.0 | 458 | 1.0590 |
| 0.6421 | 3.0 | 687 | 1.1701 |
| 0.6421 | 4.0 | 916 | 1.3936 |
| 0.4066 | 5.0 | 1145 | 1.5411 |
| 0.4066 | 6.0 | 1374 | 1.5978 |
| 0.2398 | 7.0 | 1603 | 1.7463 |
| 0.2398 | 8.0 | 1832 | 1.8142 |
| 0.1561 | 9.0 | 2061 | 1.8658 |
| 0.1561 | 10.0 | 2290 | 1.8956 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0