metadata
library_name: transformers
base_model: dccuchile/bert-base-spanish-wwm-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bank-categorizer
results: []
bank-categorizer
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: 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 |
Framework versions
- Transformers 5.10.2
- Pytorch 2.11.0+cu128
- Datasets 2.20.0
- Tokenizers 0.22.2