| --- |
| library_name: transformers |
| base_model: dccuchile/bert-base-spanish-wwm-cased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: bank-categorizer |
| 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. --> |
|
|
| # bank-categorizer |
|
|
| 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: 1.6305 |
| - Accuracy: 0.5 |
|
|
| ## 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: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - 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 |
| - lr_scheduler_warmup_steps: 0.1 |
| - num_epochs: 15 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 15 | 2.7929 | 0.1724 | |
| | No log | 2.0 | 30 | 2.4526 | 0.3448 | |
| | No log | 3.0 | 45 | 2.1792 | 0.3621 | |
| | No log | 4.0 | 60 | 2.0229 | 0.4310 | |
| | No log | 5.0 | 75 | 1.9259 | 0.4483 | |
| | No log | 6.0 | 90 | 1.8270 | 0.4655 | |
| | No log | 7.0 | 105 | 1.8080 | 0.4655 | |
| | No log | 8.0 | 120 | 1.7047 | 0.5 | |
| | No log | 9.0 | 135 | 1.6910 | 0.5172 | |
| | No log | 10.0 | 150 | 1.6723 | 0.5 | |
| | No log | 11.0 | 165 | 1.7065 | 0.4828 | |
| | No log | 12.0 | 180 | 1.6203 | 0.5 | |
| | No log | 13.0 | 195 | 1.6266 | 0.5 | |
| | No log | 14.0 | 210 | 1.6286 | 0.5 | |
| | No log | 15.0 | 225 | 1.6305 | 0.5 | |
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|
| ### Framework versions |
|
|
| - Transformers 5.10.2 |
| - Pytorch 2.11.0+cu128 |
| - Datasets 2.20.0 |
| - Tokenizers 0.22.2 |
|
|
