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TELUSKUNTA
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modernbert-twitter-hate

Text Classification
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modernbert
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text-embeddings-inference
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modernbert-twitter-hate

This model is a fine-tuned version of answerdotai/ModernBERT-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5090
  • Accuracy: 0.757
  • Precision: 0.7026
  • Recall: 0.7471
  • F1: 0.7242

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
  • train_batch_size: 32
  • eval_batch_size: 32
  • 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

Training results

Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1
No log 1.0 282 0.5309 0.719 0.6834 0.6370 0.6594
0.4367 2.0 564 0.5090 0.757 0.7026 0.7471 0.7242
0.4367 3.0 846 0.6269 0.741 0.6900 0.7143 0.7020

Framework versions

  • Transformers 4.57.6
  • Pytorch 2.7.1+cu126
  • Datasets 2.19.1
  • Tokenizers 0.22.2
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