Batched loading and chunking of text datasets;
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@@ -25,9 +25,9 @@ locCustomPromptTemplate=./testProject/llama3_prompt_min.txt
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# vInplace true: Validation will run after each batch of training epochs until vExpected has been reached, otherwise the next training batch starts
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# vInplace false: Training is executed once for trEpochs epochs
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# Optimizer schedule_free_*: Leave trEpochs blank
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trEpochs=10
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# optional int, maximum length of training sequence
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trMaxSeqLength=
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trEpochs=1
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# int, maximum length of training sequence
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trMaxSeqLength=2000
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# optional scheduler type: linear, constant, cosine, polynomial, inverse_sqrt
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trSchedulerType=
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# optional optimizer; grokadamw, schedule_free_adamw, schedule_free_sgd
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@@ -63,7 +63,7 @@ loraLayers=q_proj,k_proj
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[Validation]
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# enable validation
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validate=true
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validate=false
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# Validate in place during training.
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# In place validation: Validation will run after each batch of training epochs until vExpected has been reached. Requires more memory (both training and grader model are in memory at the same time)
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# Normal validation: Validation is done once after the traning epochs have been finished
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