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The trend of the loss curve in the BYOL method is always decreasing, or does it decrease first and then increase? Because as I understand it, initially the target_network and online_network are closer, so the exported features are also closer. I looked at some blogs, and some losses do indeed decrease and then increase. However, when I train it myself, the loss keeps decreasing, reaching around 0.003, and it converges very quickly. I'm not sure if my model has collapsed.
The text was updated successfully, but these errors were encountered:
The trend of the loss curve in the BYOL method is always decreasing, or does it decrease first and then increase? Because as I understand it, initially the target_network and online_network are closer, so the exported features are also closer. I looked at some blogs, and some losses do indeed decrease and then increase. However, when I train it myself, the loss keeps decreasing, reaching around 0.003, and it converges very quickly. I'm not sure if my model has collapsed.
The text was updated successfully, but these errors were encountered: