---
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: 0.5936
- F1 Macro: 0.9183
- F1 Weighted: 0.9220
- Accuracy: 0.9220

## 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: 2e-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
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 Weighted | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:--------:|
| 0.5422        | 1.0   | 478  | 0.2359          | 0.9047   | 0.9091      | 0.9092   |
| 0.3034        | 2.0   | 956  | 0.2450          | 0.9124   | 0.9165      | 0.9165   |
| 0.2124        | 3.0   | 1434 | 0.3679          | 0.9193   | 0.9232      | 0.9233   |
| 0.1062        | 4.0   | 1912 | 0.4428          | 0.9206   | 0.9244      | 0.9246   |
| 0.0373        | 5.0   | 2390 | 0.5984          | 0.9152   | 0.9190      | 0.9188   |
| 0.0181        | 6.0   | 2868 | 0.5936          | 0.9183   | 0.9220      | 0.9220   |


### Framework versions

- Transformers 5.12.1
- Pytorch 2.11.0+cu128
- Datasets 2.18.0
- Tokenizers 0.22.2