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