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ta1c-Clickbait-Detector-es – AI Model by dcere | AlphaNeural AI
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dcere
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ta1c-Clickbait-Detector-es
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transformers
safetensors
roberta
text-classification
generated_from_trainer
PlanTL-GOB-ES/roberta-base-bne
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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ta1c-Clickbait-Detector-es
This model is a fine-tuned version of
PlanTL-GOB-ES/roberta-base-bne
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3394
Macro F1: 0.8871
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
0.3188
1.0
140
0.2825
0.8760
0.1868
2.0
280
0.3394
0.8871
Framework versions
Transformers 4.52.2
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
