2023-02-03 22:14:37 +00:00
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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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2023-02-03 22:17:05 +00:00
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# launch as the following (e.g. in a screen session) and wait ~5 days:
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# $ torchrun --standalone --nproc_per_node=8 train.py config/train_gpt2.py
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2023-02-03 22:14:37 +00:00
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2024-06-24 19:10:15 +00:00
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wandb_log = False
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2023-02-03 22:14:37 +00:00
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wandb_project = 'owt'
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wandb_run_name='gpt2-124M'
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# these make the total batch size be ~0.5M
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# 12 batch size * 1024 block size * 5 gradaccum * 8 GPUs = 491,520
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batch_size = 12
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block_size = 1024
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2023-03-25 07:04:45 +00:00
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gradient_accumulation_steps = 5 * 8
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2023-02-03 22:14:37 +00:00
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# this makes total number of tokens be 300B
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max_iters = 600000
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lr_decay_iters = 600000
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# eval stuff
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eval_interval = 1000
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eval_iters = 200
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log_interval = 10
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# weight decay
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weight_decay = 1e-1
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