--- license: apache-2.0 base_model: ThomasSimonini/t5-end2end-question-generation tags: - generated_from_trainer model-index: - name: t52 results: [] --- # t52 This model is a fine-tuned version of [ThomasSimonini/t5-end2end-question-generation](https://huggingface.co/ThomasSimonini/t5-end2end-question-generation) on the None dataset. It achieves the following results on the evaluation set: - Loss: 2.6967 ## 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 | |:-------------:|:-----:|:----:|:---------------:| | 3.1749 | 0.65 | 100 | 2.9029 | | 2.9717 | 1.3 | 200 | 2.8314 | | 2.8949 | 1.95 | 300 | 2.7876 | | 2.7999 | 2.59 | 400 | 2.7635 | | 2.7549 | 3.24 | 500 | 2.7407 | | 2.6961 | 3.89 | 600 | 2.7225 | | 2.6497 | 4.54 | 700 | 2.7164 | | 2.6302 | 5.19 | 800 | 2.7081 | | 2.6166 | 5.84 | 900 | 2.6984 | | 2.5617 | 6.49 | 1000 | 2.6967 | ### Framework versions - Transformers 4.31.0 - Pytorch 2.0.1+cu118 - Datasets 2.14.3 - Tokenizers 0.13.3