--- license: apache-2.0 base_model: google/bert_uncased_L-2_H-128_A-2 tags: - generated_from_trainer metrics: - accuracy model-index: - name: myTinyBertSST2Distilled results: [] --- # myTinyBertSST2Distilled This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.4454 - Accuracy: 0.8028 ## 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: 1e-05 - train_batch_size: 256 - eval_batch_size: 256 - seed: 33 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.3503 | 1.0 | 264 | 0.4493 | 0.7982 | | 0.3463 | 2.0 | 528 | 0.4454 | 0.8028 | ### Framework versions - Transformers 4.41.0 - Pytorch 2.1.2 - Datasets 2.19.1 - Tokenizers 0.19.1