metadata
library_name: transformers
base_model: dccuchile/bert-base-spanish-wwm-cased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-spanish-wwm-cased_bs4
results: []
bert-base-spanish-wwm-cased_bs4
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0244
- Precision: 0.9739
- Recall: 0.9733
- F1: 0.9736
- Accuracy: 0.9950
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1217 | 0.6435 | 500 | 0.0684 | 0.9133 | 0.9323 | 0.9227 | 0.9856 |
| 0.0496 | 1.2870 | 1000 | 0.0466 | 0.9410 | 0.9551 | 0.9480 | 0.9902 |
| 0.0601 | 1.9305 | 1500 | 0.0327 | 0.9660 | 0.9622 | 0.9641 | 0.9929 |
| 0.0144 | 2.5740 | 2000 | 0.0244 | 0.9739 | 0.9733 | 0.9736 | 0.9950 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1