--- metrics: - accuracy tags: - generated_from_trainer model-index: - name: prof_sent results: [] --- # prof_sent This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.3264 - Accuracy: 0.834 ## 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: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | No log | 1.0 | 63 | 1.5635 | 0.812 | | No log | 2.0 | 126 | 1.3264 | 0.834 | ### Framework versions - Transformers 4.42.4 - Pytorch 2.3.1+cu121 - Datasets 2.21.0 - Tokenizers 0.19.1