---
library_name: transformers
license: apache-2.0
base_model: PlanTL-GOB-ES/roberta-large-bne
tags:
- generated_from_trainer
model-index:
- name: ta1c-Clickbait-Detector-es-large
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ta1c-Clickbait-Detector-es-large

This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-large-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-large-bne) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2719
- Macro F1: 0.8756

## 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: 32
- seed: 428
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Macro F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2024        | 1.0   | 175  | 0.2124          | 0.8776   |
| 0.0955        | 2.0   | 350  | 0.2719          | 0.8756   |


### Framework versions

- Transformers 4.52.2
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1