--- language: - en license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - accuracy model-index: - name: mobilebert_sa_GLUE_Experiment_data_aug_sst2_256 results: - task: name: Text Classification type: text-classification dataset: name: GLUE SST2 type: glue args: sst2 metrics: - name: Accuracy type: accuracy value: 0.786697247706422 --- # mobilebert_sa_GLUE_Experiment_data_aug_sst2_256 This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the GLUE SST2 dataset. It achieves the following results on the evaluation set: - Loss: 0.5172 - Accuracy: 0.7867 ## 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: 128 - eval_batch_size: 128 - seed: 10 - distributed_type: multi-GPU - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 50 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:-----:|:---------------:|:--------:| | 0.3529 | 1.0 | 8748 | 0.5172 | 0.7867 | | 0.2729 | 2.0 | 17496 | 0.5752 | 0.7695 | | 0.2317 | 3.0 | 26244 | 0.6663 | 0.7718 | | 0.2039 | 4.0 | 34992 | 0.6987 | 0.7729 | | 0.183 | 5.0 | 43740 | 0.9113 | 0.7810 | | 0.1664 | 6.0 | 52488 | 0.8460 | 0.7844 | ### Framework versions - Transformers 4.26.0 - Pytorch 1.14.0a0+410ce96 - Datasets 2.9.0 - Tokenizers 0.13.2