hug-mono/checkworthy-binary-classification-training-1755585731

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checkworthy-binary-classification-training-1755585731

This model is a fine-tuned version of google-bert/bert-base-uncased on the None dataset.

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: 2.1106713456200193e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —optimizer: Use OptimizerNames.PAGEDADAMW with betas=(0.9348819720458172,0.9285998615546803) and epsilon=1.9972958061508847e-07 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: polynomial
• —lrschedulerwarmup_ratio: 0.12890328790683203
• —lrschedulerwarmup_steps: 488
• —num_epochs: 40

Training results

Framework versions

• —PEFT 0.17.0
• —Transformers 4.55.2
• —Pytorch 2.6.0+cu124
• —Datasets 4.0.0
• —Tokenizers 0.21.4