use DataCollatorWithFlattening when not sample packing (#2167)
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@@ -245,6 +245,9 @@ sample_packing_group_size: 100000
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# The number of samples which can be packed into one sequence. Increase if using a large sequence_len with many short samples.
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sample_packing_bin_size: 200
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# Use batch flattening for speedups when not using sample_packing
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batch_flattening:
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# Passed through to transformers when loading the model when launched without accelerate
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# Use `sequential` when training w/ model parallelism to limit memory
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device_map:
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