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🚀 Feature
Temperature scaled sampling for multi dataset
Motivation
In multitask training involving multiple datasets, it is often desirable to be able to control the sampling ratios for different datasets. Currently mmf provides either equal or size proportional sampling. In order to have more control over the sampling we should add temperature scaled sampling.
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Curr
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I'm playing around with this wonderful code but I'm running into a curious issue when I try to train the model with my own data.
I replicated the personachat_self_original.json file structure and added my own data. I deleted dataset_cache_OpenAIGPTTokenizer file but when I try to train, I get this error:
INFO:train.py:Pad inputs and convert to Tensor
Traceback (most recent call last)
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