---
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_weighted
  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-05_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: 0.2989
- F1 Micro: 0.6953
- F1 Macro: 0.3893
- Exact Match: 0.6723

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|:-----------:|
| 0.3646        | 0.9924 | 131  | 0.4025          | 0.6082   | 0.1974   | 0.6307      |
| 0.3934        | 1.9848 | 262  | 0.3667          | 0.6261   | 0.2793   | 0.6420      |
| 0.3214        | 2.9773 | 393  | 0.3171          | 0.6577   | 0.3390   | 0.6572      |
| 0.2660        | 3.9697 | 524  | 0.2899          | 0.6656   | 0.3862   | 0.6686      |
| 0.1906        | 4.9621 | 655  | 0.2866          | 0.6783   | 0.3740   | 0.6705      |
| 0.1556        | 5.9545 | 786  | 0.2913          | 0.6907   | 0.3917   | 0.6345      |
| 0.1517        | 6.9470 | 917  | 0.2880          | 0.7009   | 0.4060   | 0.6913      |
| 0.1313        | 7.9394 | 1048 | 0.3007          | 0.6867   | 0.3850   | 0.6780      |
| 0.1124        | 8.9318 | 1179 | 0.2989          | 0.6953   | 0.3893   | 0.6723      |


### Framework versions

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