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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
-# launch as the following (e.g. in a screen session) and wait ~5 days:
-# $ torchrun --standalone --nproc_per_node=8 train.py config/train_gpt2.py
-
-wandb_log = True
-wandb_project = 'owt'
-wandb_run_name='gpt2-124M'
-
-# 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 * 8
-
-# this makes total number of tokens be 300B
-max_iters = 600000
-lr_decay_iters = 600000
-
-# eval stuff
-eval_interval = 1000
-eval_iters = 200
-log_interval = 10
-
-# weight decay
-weight_decay = 1e-1