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12 lines
1.1 KiB
Markdown
12 lines
1.1 KiB
Markdown
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This is an expanded Training tab
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- Chunking: precise raw text slicer (PRTS) uses sentence slicing and making sure things are clean on all ends
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- overlap chunking - this special overlapping will make additional overlap block based on logical rules (aka no overlap block on hard cut)
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- custom scheduler (follow the code to make your own) In LR Scheduler select FP_low_epoch_annealing - this scheduler will keep the LR constant for first epoch then use cosine for the rest - this part would be best to spawn into a new py file
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- save loss threshold - will not save the "Save every n steps" checkpoints until this threshold is reached (I definitely don't need multiple checkpoints that are 2.5 loss - I'm usually interested in checkpoints between say 1.5 and 1.9 loss)
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- saves graph png file at the end with learning rate and loss per epoch
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- adding EOS to each block or to hard cut only
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- automatically lowers gradient accumulation if you go overboard and set gradient accumulation that will be higher than actual data - transformers would then throw error (or they used to, not sure if still true) but in any way, it will fix bad data
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- turn BOS on and OFF
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