T5_FineTuning

This model is a fine-tuned version of 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 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