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ta1c-Clickbait-Detector-es-large
dcere/ta1c-Clickbait-Detector-es-large
ta1c-Clickbait-Detector-es-large is a text classification model from dcere. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Jun 2, 2025
- Updated
- Jun 2, 2025
- SHA
- 25e713a0
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Base models
Model card
From the Hugging Face model README
<!-- 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. -->
ta1c-Clickbait-Detector-es-large
This model is a fine-tuned version of 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
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Jun 2, 2025
- Updated
- Jun 2, 2025