Hi,
I'm wondering the training speed of transformer using new-self-critical or SCST. Because during training the model should be inferenced and the inference speed of transformers are much slower than training. In RNN this should not be a problem, but I think that using the transformer the training would be much slower (I implemented a version my self and the training using RL was about 20x slower).
I'm curious about the training speed in your experiment. Do you have any suggestions?
Hi, I'm wondering the training speed of transformer using new-self-critical or SCST. Because during training the model should be inferenced and the inference speed of transformers are much slower than training. In RNN this should not be a problem, but I think that using the transformer the training would be much slower (I implemented a version my self and the training using RL was about 20x slower). I'm curious about the training speed in your experiment. Do you have any suggestions?