Difference in Result
Opened this issue · 2 comments
Thanks for nice work . I have trained a model on my own dataset which have three classes and every class have 20 videos each . I have formated the dataset in the somehting-something-v1 format and start the training. Durning training I have got testing accuracy as follow
After completing the training, I have tested the model on the same data, it giving me as follow
Class Accuracy 36.67%
Overall Prec@1 36.67% Prec@5 100.00%
can you explain the result ,is it ok or something wrong ?
Please make sure you are using the right model during inference. It looks like you are loading the something-v1 trained model during inference.
Yes this is my model,which is trained using the something-something-v1 dataset format, Althought model name is ""something-v1_BNInception_avg_segment8_checkpoint.pth.tar"" but actually it is the model which is trained my me on my own data set.