Closed christk1 closed 5 years ago
hi, @christk1, Have you solved the first problem?
hi, @christk1, Have you solved the first problem?
hello, sorry for the late reply, after searching the official implementation on mxnet i found that you must first train with softmax and then finetune with arcloss
Hello @luckycallor and thanks for your implementation, i am trying to apply arc loss in my own dataset but loss drops from around 57 to around 20 and then it stops converging. Furthermore the training accuracy stays at 0.0. I am using a batch size of 448, any tips for this? And the other question is: for validation, if i measure the accuracy by the traditional way with tf.reduce_mean(tf.cast(tf.equal(pred, self.train_labels), tf.float32)), without comparing 2 embeddings at a time, it would be a false prediction? if yes, can you explain me the reason?