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metadata
library_name: transformers
base_model: Tochka-AI/ruRoPEBert-classic-base-2k
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: toxic_generation_classifier
    results: []

toxic_generation_classifier

This model is a fine-tuned version of Tochka-AI/ruRoPEBert-classic-base-2k on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1611
  • Accuracy: 0.9536
  • F1: 0.9537

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: 0.0002
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
No log 1.0 149 0.1758 0.9460 0.9457
No log 2.0 298 0.1611 0.9536 0.9537

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.0
  • Tokenizers 0.19.1