metadata
library_name: transformers
base_model: dccuchile/bert-base-spanish-wwm-cased
tags:
- generated_from_trainer
model-index:
- name: >-
dccuchile_bert-base-spanish-wwm-cased_ep10_lr1e-06_batchpergpu16_gpu1_weighted
results: []
dccuchile_bert-base-spanish-wwm-cased_ep10_lr1e-06_batchpergpu16_gpu1_weighted
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: 0.4372
- F1 Micro: 0.5905
- F1 Macro: 0.1210
- Exact Match: 0.6496
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: 1e-06
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | Exact Match |
|---|---|---|---|---|---|---|
| 0.5336 | 0.9924 | 131 | 0.5409 | 0.5828 | 0.1152 | 0.5644 |
| 0.5046 | 1.9848 | 262 | 0.4838 | 0.5705 | 0.1159 | 0.6155 |
| 0.4865 | 2.9773 | 393 | 0.4652 | 0.6129 | 0.1232 | 0.6420 |
| 0.5026 | 3.9697 | 524 | 0.4510 | 0.5809 | 0.1187 | 0.6345 |
| 0.4061 | 4.9621 | 655 | 0.4372 | 0.5905 | 0.1210 | 0.6496 |
Framework versions
- Transformers 5.6.2
- Pytorch 2.11.0+cu130
- Datasets 4.8.4
- Tokenizers 0.22.2