--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad model-index: - name: t5-e2e-questions-generation results: [] --- # t5-e2e-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: 1.5678 ## 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: 7 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 295 | 1.6685 | | 1.974 | 2.0 | 590 | 1.6058 | | 1.974 | 3.0 | 885 | 1.5856 | | 1.6324 | 4.0 | 1180 | 1.5748 | | 1.6324 | 5.0 | 1475 | 1.5726 | | 1.5458 | 6.0 | 1770 | 1.5652 | | 1.4949 | 7.0 | 2065 | 1.5678 | ### Framework versions - Transformers 4.20.1 - Pytorch 1.11.0 - Datasets 2.1.0 - Tokenizers 0.12.1