TypeError: unsupported operand type(s) for -: 'float' and 'NoneType' about litgpt HOT 7 CLOSED

--data.val_split_fraction 0.1

fixed issue.

@carmocca

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I even updated the dataset to have one more indent for the {} to match litgpt's given .json object formatting:

From this:

To this:

And I still get the same error.

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Running a test load of the default Alpaca dataset with the command litgpt finetune lora --data Alpaca --checkpoint_dir checkpoints/mobiuslabsgmbh/aanaphi2-v0.1 runs fine, so I think it's my dataset. I can't find any formatting differences between the default dataset and mine, so kind of at a loss here.

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I would like to add that my dataset does exponentially grow in size because it is based around a speaker diarization type of dataset. To keep all the context of the conversation, each time the Speaker 0 and Speaker 1 nametags change in the dataset, the output is loaded back into the "input" format and the text continues until Speakers change, for example:

As you can imagine, it grows very exponentially. This makes me wonder if the error earlier has to do with context length limits or anything like that when initially loading the dataset: as the finetuning scripts work bydetermining the size of the longest tokenized sample in the dataset to determine the block size.and the files do get quite long. I also did try to truncate the dataset earlier with --train.max_seq_length 256 to no difference.

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Same for me, I don't think size matters as it failed with really small dataset with few records.

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@rasbt can you check this out? There might be a bug in the json datamodule

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#1241 improves the messaging

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