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From a small set of experiments (~10), I've found it hard to train in new concepts to the 1.3B model. It ultimately leads to model collapsing and performing bad with the lora. This is my best results so far:
output.mp4
Still not going for training the 14B variants because we need to make training significantly faster. The following are on my mind to support quickly: