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 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: 64 seed: 42 optimizer: Adam with betas=(0.9,0.999) and epsilon=1e 08 lr scheduler type: linear num epochs: 10 Training results Training Loss Epoch Step Validation Loss Precision Macro Recall Macro F1 Macro F1 Neutral F1 Toxic : : : : : : : : : : : : : : : : : : 0.6127 0.23 100 0.4477 0.8252 0.825 0.8250 0.8274 0.8226 0.3728 0.46 200 0.2852 0.8877 0.8875 0.8875 0.8886 0.8864 0.2888 0.69 300 0.2405 0.9039 0.9038 0.9037 0.9047 0.9028 0.2724 0.92 400 0.2288 0.9110 0.9094 0.9093 0.9122 0.9064 0.2387 1.15 500 0.2161 0.9132 0.9125 0.9125 0.9143 0.9106 0.2189 1.38 600 0.2098 0.9206 0.9206 0.9206 0.9208 0.9205 0.1…
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