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Arunavaonly/Bangla_YouTube_Clickbait_Detection_model

🤗 Hugging Face 来源text-classificationmit278M 参数1.1 GBsafetensors✓ 6 个校验和今天更新
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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