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# config for training GPT-2 (124M) down to very nice loss of ~2.85 on 1 node of 8X A100 40GB | ||
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wandb_log = True | ||
wandb_project = 'owt' | ||
wandb_run_name='gpt2-124M' | ||
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# these make the total batch size be ~0.5M | ||
# 12 batch size * 1024 block size * 5 gradaccum * 8 GPUs = 491,520 | ||
batch_size = 12 | ||
block_size = 1024 | ||
gradient_accumulation_steps = 5 | ||
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# this makes total number of tokens be 300B | ||
max_iters = 600000 | ||
lr_decay_iters = 600000 | ||
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# eval stuff | ||
eval_interval = 1000 | ||
eval_iters = 200 | ||
log_interval = 10 | ||
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# weight decay | ||
weight_decay = 1e-1 |