--- base_model: apanc/russian-inappropriate-messages tags: - generated_from_trainer metrics: - accuracy model-index: - name: dnd2 results: [] --- # dnd2 This model is a fine-tuned version of [apanc/russian-inappropriate-messages](https://huggingface.co/apanc/russian-inappropriate-messages) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.1599 - Accuracy: 0.9298 ## 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-06 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 12 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | No log | 1.0 | 15 | 0.9829 | 0.6316 | | No log | 2.0 | 30 | 0.5511 | 0.7193 | | No log | 3.0 | 45 | 0.3689 | 0.8421 | | No log | 4.0 | 60 | 0.2890 | 0.9123 | | No log | 5.0 | 75 | 0.2439 | 0.8947 | | No log | 6.0 | 90 | 0.2130 | 0.8947 | | No log | 7.0 | 105 | 0.1932 | 0.8947 | | No log | 8.0 | 120 | 0.1789 | 0.9123 | | No log | 9.0 | 135 | 0.1702 | 0.9123 | | No log | 10.0 | 150 | 0.1643 | 0.9123 | | No log | 11.0 | 165 | 0.1610 | 0.9123 | | No log | 12.0 | 180 | 0.1599 | 0.9298 | ### Framework versions - Transformers 4.32.1 - Pytorch 2.3.0+cu121 - Datasets 2.20.0 - Tokenizers 0.13.2