--- license: apache-2.0 base_model: google/mobilebert-uncased tags: - generated_from_trainer metrics: - accuracy model-index: - name: google-mobilebert-uncased results: [] --- # google-mobilebert-uncased This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.3573 - Accuracy: 0.3335 ## 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: 64 - eval_batch_size: 64 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 3.8107 | 1.0 | 2857 | 1.3585 | 0.3082 | | 1.3233 | 2.0 | 5714 | 1.3452 | 0.3297 | | 1.2776 | 3.0 | 8571 | 1.3573 | 0.3335 | ### Framework versions - Transformers 4.39.0.dev0 - Pytorch 2.2.0+cu121 - Datasets 2.18.0 - Tokenizers 0.15.0