---
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
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# dccuchile_bert-base-spanish-wwm-cased_ep10_lr1e-06_batchpergpu16_gpu1

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: 0.2126
- F1 Micro: 0.5709
- F1 Macro: 0.1179
- Exact Match: 0.6420

## 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-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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|:-----------:|
| 0.3615        | 0.9924 | 131  | 0.3363          | 0.5615   | 0.1115   | 0.5455      |
| 0.2800        | 1.9848 | 262  | 0.2688          | 0.5585   | 0.1142   | 0.6155      |
| 0.2643        | 2.9773 | 393  | 0.2498          | 0.5650   | 0.1154   | 0.6193      |
| 0.2613        | 3.9697 | 524  | 0.2370          | 0.5546   | 0.1141   | 0.6212      |
| 0.2266        | 4.9621 | 655  | 0.2272          | 0.5799   | 0.1184   | 0.6345      |
| 0.2249        | 5.9545 | 786  | 0.2203          | 0.5945   | 0.1211   | 0.6439      |
| 0.2237        | 6.9470 | 917  | 0.2155          | 0.5870   | 0.1202   | 0.6420      |
| 0.2209        | 7.9394 | 1048 | 0.2126          | 0.5709   | 0.1179   | 0.6420      |


### Framework versions

- Transformers 5.6.2
- Pytorch 2.11.0+cu130
- Datasets 4.8.4
- Tokenizers 0.22.2