rubert-tiny2-russe-toxicity

This model is a fine-tuned version of cointegrated/rubert-tiny2 on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.2087 - Precision Macro: 0.9395 - Recall Macro: 0.9394 - F1 Macro: 0.9394 - F1 Neutral: 0.9398 - F1 Toxic: 0.9390 The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 32 - eval_batch_size: 64 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10

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