metadata
library_name: transformers
base_model: dccuchile/bert-base-spanish-wwm-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: results_bert-base-spanish-wwm-cased
results: []
results_bert-base-spanish-wwm-cased
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: 0.3337
- Accuracy: 0.9209
- F1: 0.8454
- Precision: 0.7912
- Recall: 0.9076
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 88 | 0.3111 | 0.8849 | 0.7935 | 0.6928 | 0.9286 |
| No log | 2.0 | 176 | 0.3687 | 0.8809 | 0.7909 | 0.6798 | 0.9454 |
| No log | 3.0 | 264 | 0.4563 | 0.8899 | 0.8029 | 0.7 | 0.9412 |
| No log | 4.0 | 352 | 0.3337 | 0.9209 | 0.8454 | 0.7912 | 0.9076 |
| No log | 5.0 | 440 | 0.4174 | 0.9039 | 0.8216 | 0.7367 | 0.9286 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0