| --- |
| 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: [] |
| --- |
| |
| <!-- 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-06_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: 0.4372 |
| - F1 Micro: 0.5905 |
| - F1 Macro: 0.1210 |
| - Exact Match: 0.6496 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
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| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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| 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 | |
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| ### Framework versions |
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|
| - Transformers 5.6.2 |
| - Pytorch 2.11.0+cu130 |
| - Datasets 4.8.4 |
| - Tokenizers 0.22.2 |
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|
