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Bangla_YouTube_Clickbait_Detection_model – AI Model by Arunavaonly | AlphaNeural AI

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Arunavaonly/
Bangla_YouTube_Clickbait_Detection_model

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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Bangla_YouTube_Clickbait_Detection_model

This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.1606
eval_f1: 0.9625
eval_runtime: 14.8992
eval_samples_per_second: 1006.764
eval_steps_per_second: 62.956
epoch: 2.4680
step: 5400

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: 3e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
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
num_epochs: 3
mixed_precision_training: Native AMP

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.3.2
Tokenizers 0.21.0