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modernbert-spam-classifier

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modernbert
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metadata
library_name: transformers
license: apache-2.0
base_model: deepvk/RuModernBERT-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: modernbert-spam-classifier
    results: []

modernbert-spam-classifier

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

  • Loss: 0.0249
  • Accuracy: 0.9924
  • F1: 0.9923

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: 900
  • eval_batch_size: 900
  • 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 F1
0.0472 1.0 407 0.0277 0.9914 0.9913
0.0255 2.0 814 0.0250 0.9923 0.9922
0.0239 3.0 1221 0.0249 0.9924 0.9923

Framework versions

  • Transformers 4.53.0
  • Pytorch 2.7.1+cu126
  • Datasets 3.6.0
  • Tokenizers 0.21.2