I tried to finetune big transfer code for cifar 10 dataset using the colab provided in TF Blog
The dataset was split on 90% training and 10% validation.
The steps per epochs were modified as per dataset number of samples.
Bit hyper rule were kept as it is without any modification
Model used for finetuning was Resnet-m-50x1 and Resnet-m-101x3
Accuracy of model reached maximum of 94.3% for resnet-m-50x1 against the mentioned accuracy of 97.2
Accuracy for resnet-m-101x3 was reaching max of 93.2 against the mentioned accuracy of 98.5 and no further improvement was observed even running for some more epochs.
I tried to finetune big transfer code for cifar 10 dataset using the colab provided in TF Blog
The dataset was split on 90% training and 10% validation. The steps per epochs were modified as per dataset number of samples. Bit hyper rule were kept as it is without any modification Model used for finetuning was Resnet-m-50x1 and Resnet-m-101x3
Accuracy of model reached maximum of 94.3% for resnet-m-50x1 against the mentioned accuracy of 97.2 Accuracy for resnet-m-101x3 was reaching max of 93.2 against the mentioned accuracy of 98.5 and no further improvement was observed even running for some more epochs.
Accuracy source :- README.md