underscore2/modernbert_large_slop_classifier_v3

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modernbertlargeslopclassifierv3

This model is a fine-tuned version of answerdotai/ModernBERT-large on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1670
• —Accuracy: 0.9413

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: 6.6666666666666675e-06
• —trainbatchsize: 2
• —evalbatchsize: 1
• —seed: 42
• —gradientaccumulationsteps: 12
• —totaltrainbatch_size: 24
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.15
• —num_epochs: 1

Training results

Framework versions

• —Transformers 4.52.4
• —Pytorch 2.6.0+cu124
• —Datasets 3.6.0
• —Tokenizers 0.21.1