---
library_name: transformers
base_model: dccuchile/bert-base-spanish-wwm-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: beto-sarcasmo-bs32-ep10
  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. -->

# beto-sarcasmo-bs32-ep10

This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6352
- F1 Macro: 0.9149
- F1 Weighted: 0.9191
- Accuracy: 0.9194

## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 Weighted | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:--------:|
| 0.6760        | 1.0   | 478  | 0.3306          | 0.8599   | 0.8644      | 0.8631   |
| 0.4085        | 2.0   | 956  | 0.2336          | 0.9046   | 0.9097      | 0.9105   |
| 0.2910        | 3.0   | 1434 | 0.2845          | 0.9059   | 0.9106      | 0.9110   |
| 0.2298        | 4.0   | 1912 | 0.3658          | 0.9133   | 0.9173      | 0.9173   |
| 0.1261        | 5.0   | 2390 | 0.4713          | 0.9121   | 0.9168      | 0.9175   |
| 0.1084        | 6.0   | 2868 | 0.4984          | 0.9177   | 0.9216      | 0.9217   |
| 0.0407        | 7.0   | 3346 | 0.5894          | 0.9136   | 0.9173      | 0.9170   |
| 0.0075        | 8.0   | 3824 | 0.6167          | 0.9150   | 0.9190      | 0.9191   |
| 0.0145        | 9.0   | 4302 | 0.6352          | 0.9149   | 0.9191      | 0.9194   |


### Framework versions

- Transformers 5.12.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2