| --- |
| 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-05_batchpergpu16_gpu1_weighted |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # dccuchile_bert-base-spanish-wwm-cased_ep10_lr1e-05_batchpergpu16_gpu1_weighted |
|
|
| This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2989 |
| - F1 Micro: 0.6953 |
| - F1 Macro: 0.3893 |
| - Exact Match: 0.6723 |
|
|
| ## 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-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 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | Exact Match | |
| |:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|:-----------:| |
| | 0.3646 | 0.9924 | 131 | 0.4025 | 0.6082 | 0.1974 | 0.6307 | |
| | 0.3934 | 1.9848 | 262 | 0.3667 | 0.6261 | 0.2793 | 0.6420 | |
| | 0.3214 | 2.9773 | 393 | 0.3171 | 0.6577 | 0.3390 | 0.6572 | |
| | 0.2660 | 3.9697 | 524 | 0.2899 | 0.6656 | 0.3862 | 0.6686 | |
| | 0.1906 | 4.9621 | 655 | 0.2866 | 0.6783 | 0.3740 | 0.6705 | |
| | 0.1556 | 5.9545 | 786 | 0.2913 | 0.6907 | 0.3917 | 0.6345 | |
| | 0.1517 | 6.9470 | 917 | 0.2880 | 0.7009 | 0.4060 | 0.6913 | |
| | 0.1313 | 7.9394 | 1048 | 0.3007 | 0.6867 | 0.3850 | 0.6780 | |
| | 0.1124 | 8.9318 | 1179 | 0.2989 | 0.6953 | 0.3893 | 0.6723 | |
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|
| ### Framework versions |
|
|
| - Transformers 5.6.2 |
| - Pytorch 2.11.0+cu130 |
| - Datasets 4.8.4 |
| - Tokenizers 0.22.2 |
|
|
