--- license: mit base_model: csarron/mobilebert-uncased-squad-v1 tags: - generated_from_trainer model-index: - name: MobileBERT-uncased-squad-v1-BiLSTM-finetuned-squad-fc1-fullunfreeze-dropout02 results: [] --- # MobileBERT-uncased-squad-v1-BiLSTM-finetuned-squad-fc1-fullunfreeze-dropout02 This model is a fine-tuned version of [csarron/mobilebert-uncased-squad-v1](https://huggingface.co/csarron/mobilebert-uncased-squad-v1) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.0898 ## 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: 3e-05 - train_batch_size: 6 - eval_batch_size: 60 - 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 | |:-------------:|:-----:|:-----:|:---------------:| | 0.6956 | 1.0 | 14619 | 1.0271 | | 0.5183 | 2.0 | 29238 | 1.0898 | ### Framework versions - Transformers 4.40.0 - Pytorch 2.4.0+cu121 - Datasets 2.21.0 - Tokenizers 0.19.1