---
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: []
---

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# 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

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|:-----------:|
| 0.5336        | 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      |


### Framework versions

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