--- tags: - generated_from_trainer model-index: - name: albert-base-v2 results: [] --- # albert-base-v2 This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0075 ## 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: 4 - eval_batch_size: 4 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 0.024 | 1.0 | 4000 | 0.0300 | | 0.0049 | 2.0 | 8000 | 0.0075 | | 0.0 | 3.0 | 12000 | 0.0125 | | 0.0 | 4.0 | 16000 | 0.0101 | | 0.0056 | 5.0 | 20000 | 0.0104 | ### Framework versions - Transformers 4.18.0 - Pytorch 1.9.0 - Datasets 2.1.0 - Tokenizers 0.12.1