--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: ndaclassifier results: [] --- # ndaclassifier This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.5165 - Accuracy: 0.6601 ## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | No log | 1.0 | 77 | 2.3181 | 0.4379 | | No log | 2.0 | 154 | 1.7065 | 0.6405 | | No log | 3.0 | 231 | 1.5165 | 0.6601 | ### Framework versions - Transformers 4.36.2 - Pytorch 2.0.0 - Datasets 2.16.0 - Tokenizers 0.15.0