minor tweaks to simplify #597
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NanoCode012
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Sep 18, 2023
| @@ -489,6 +489,8 @@ def calculate_total_num_steps(cfg, train_dataset, tokenizer): | |||
| data_loader_len = data_loader.len_w_stats() | |||
| actual_eff = data_loader.efficiency() | |||
| LOG.info(f"data_loader_len: {data_loader_len}") | |||
| # FIXME: is there a bug here somewhere? the total num steps depends | |||
| # on the agreed on value for sample_packing_eff_est | |||
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what does this mean? Do you mean the total num steps should be affected by sample efficiency or some other var?
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exactly. because if the various processes have different calculations, we choose the max value to find the smallest steps that they all share. It doesn't seem to be a major issue atm, but should get addressed.
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don't debug the attention mask value since that is almost always exclusively
1for all cases.simplify config by not asking users to update the total_num_tokens and sample_packing_eff_est since that computation has been optimized and the optimization to set that ahead of time can cause headaches