--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: masked-question-generation-t5-base results: [] --- # masked-question-generation-t5-base This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.8055 ## 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: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.2126 | 0.45 | 80 | 0.9040 | | 0.9754 | 0.89 | 160 | 0.8565 | | 0.8818 | 1.34 | 240 | 0.8393 | | 0.8645 | 1.78 | 320 | 0.8234 | | 0.8079 | 2.23 | 400 | 0.8177 | | 0.7862 | 2.67 | 480 | 0.8081 | | 0.7636 | 3.12 | 560 | 0.8101 | | 0.7377 | 3.56 | 640 | 0.8074 | | 0.7259 | 4.01 | 720 | 0.8052 | | 0.7014 | 4.45 | 800 | 0.8051 | | 0.7042 | 4.9 | 880 | 0.8055 | ### Framework versions - Transformers 4.28.1 - Pytorch 2.0.0 - Datasets 2.12.0 - Tokenizers 0.11.0