Tharun124/Helpdeskemail-ModernBERT-classifier

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Helpdeskemail-ModernBERT-classifier

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

• —Loss: 1.3753
• —Accuracy: 0.4118
• —F1 Macro: 0.2364
• —Precision Macro: 0.2178
• —Recall Macro: 0.2667

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: 2e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 0.1
• —num_epochs: 5

Training results

Framework versions

• —Transformers 5.6.2
• —Pytorch 2.11.0+cu130
• —Datasets 4.8.4
• —Tokenizers 0.22.2