--- library_name: transformers base_model: SI2M-Lab/DarijaBERT tags: - generated_from_trainer metrics: - accuracy model-index: - name: question_classification results: [] --- # question_classification This model is a fine-tuned version of [SI2M-Lab/DarijaBERT](https://huggingface.co/SI2M-Lab/DarijaBERT) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0000 - Accuracy: 1.0 ## 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: 5e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Use 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: 6 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | No log | 1.0 | 80 | 0.0001 | 1.0 | | No log | 2.0 | 160 | 0.0000 | 1.0 | | No log | 3.0 | 240 | 0.0000 | 1.0 | | No log | 4.0 | 320 | 0.0000 | 1.0 | | No log | 5.0 | 400 | 0.0000 | 1.0 | | No log | 6.0 | 480 | 0.0000 | 1.0 | ### Framework versions - Transformers 4.47.1 - Pytorch 2.5.1+cu121 - Datasets 2.21.0 - Tokenizers 0.21.0