---
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      |


### Framework versions

- Transformers 5.10.2
- Pytorch 2.11.0+cu128
- Datasets 2.20.0
- Tokenizers 0.22.2