| --- |
| 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 |
| 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](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 |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| 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 |
| |
