---
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-05_batchpergpu16_gpu1
  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. -->

# dccuchile_bert-base-spanish-wwm-cased_ep10_lr1e-05_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: 0.1756
- F1 Micro: 0.7011
- F1 Macro: 0.3457
- Exact Match: 0.6951

## 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-05
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|:-----------:|
| 0.1868        | 0.9924 | 131  | 0.1927          | 0.5934   | 0.1227   | 0.6610      |
| 0.1735        | 1.9848 | 262  | 0.1710          | 0.6306   | 0.1930   | 0.6761      |
| 0.1444        | 2.9773 | 393  | 0.1603          | 0.6493   | 0.2080   | 0.6818      |
| 0.1296        | 3.9697 | 524  | 0.1595          | 0.6701   | 0.3347   | 0.6894      |
| 0.0904        | 4.9621 | 655  | 0.1648          | 0.6778   | 0.3392   | 0.6913      |
| 0.0765        | 5.9545 | 786  | 0.1673          | 0.7050   | 0.3494   | 0.6989      |
| 0.0749        | 6.9470 | 917  | 0.1737          | 0.6833   | 0.3425   | 0.6894      |
| 0.0628        | 7.9394 | 1048 | 0.1756          | 0.7011   | 0.3457   | 0.6951      |


### Framework versions

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