--- tags: - generated_from_trainer model-index: - name: Electra-qa results: [] --- # Electra-qa This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0769 ## 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: 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: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 52 | 0.1546 | | No log | 2.0 | 104 | 0.0867 | | No log | 3.0 | 156 | 0.0769 | ### Framework versions - Transformers 4.26.0 - Pytorch 1.13.1+cu116 - Datasets 2.9.0 - Tokenizers 0.13.2