--- tags: - generated_from_trainer datasets: - sst2 model-index: - name: TinyBERT_SST2 results: [] --- # TinyBERT_SST2 This model was trained from scratch on the sst2 dataset. It achieves the following results on the evaluation set: Loss: 0.1369 Accuracy: 0.8682 ## 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 ### Framework versions - Transformers 4.35.2 - Pytorch 2.1.0+cu118 - Datasets 2.14.7 - Tokenizers 0.15.0