--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: distilbert-base-uncased results: [] datasets: - imdb pipeline_tag: text-classification --- # distilbert-base-uncased This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.2250 - Accuracy: 0.9322 ## 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: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.2256 | 1.0 | 1563 | 0.2599 | 0.9039 | | 0.1528 | 2.0 | 3126 | 0.2250 | 0.9322 | ### Framework versions - Transformers 4.37.2 - Pytorch 2.1.0+cu121 - Datasets 2.16.1 - Tokenizers 0.15.1