--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad model-index: - name: t5-end2end-questions-generation results: [] --- # t5-end2end-questions-generation This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the squad dataset. It achieves the following results on the evaluation set: - Loss: 1.6940 ## 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: 0.0001 - train_batch_size: 4 - eval_batch_size: 4 - seed: 42 - gradient_accumulation_steps: 16 - total_train_batch_size: 64 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 0.1 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.0297 | 0.07 | 100 | 1.6940 | ### Framework versions - Transformers 4.18.0 - Pytorch 1.11.0+cu113 - Datasets 2.1.0 - Tokenizers 0.12.1