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moro01525/
T5_FineTuning

Name: T5_FineTuning
Rating: 2.5 (8 reviews)

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moro01525/T5_FineTuning

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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