--- base_model: moro01525/T5_FineTuning tags: - generated_from_trainer model-index: - name: T5_FineTuning results: [] --- # T5_FineTuning This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) It achieves the following results on the evaluation set: - Loss: 0.8659 ## Model description The model is specialized on Text2Text Generation, in particular the model receives an input like "Ingredients: ingredient1, ingredient2, ..." (containing a list of ingredients) and generates a recipe ## Training and evaluation data This model is trained using [**these**](https://www.kaggle.com/datasets/shuyangli94/food-com-recipes-and-user-interactions) datasets ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 4 - eval_batch_size: 8 - seed: 55 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 0.9318 | 0.1818 | 1500 | 0.8757 | | 0.9498 | 0.3636 | 3000 | 0.8712 | | 0.9157 | 0.5455 | 4500 | 0.8683 | | 0.9177 | 0.7273 | 6000 | 0.8672 | | 0.9295 | 0.9091 | 7500 | 0.8659 | ### Framework versions - Transformers 4.42.4 - Pytorch 2.3.1+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1