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change grad accum to default off because i think it just confuses everyone
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train.py
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train.py
@ -45,7 +45,7 @@ wandb_project = 'owt'
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wandb_run_name = 'gpt2' # 'run' + str(time.time())
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wandb_run_name = 'gpt2' # 'run' + str(time.time())
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# data
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# data
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dataset = 'openwebtext'
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dataset = 'openwebtext'
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gradient_accumulation_steps = 5 # used to simulate larger batch sizes
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gradient_accumulation_steps = 1 # used to simulate larger batch sizes
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batch_size = 12 # if gradient_accumulation_steps > 1, this is the micro-batch size
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batch_size = 12 # if gradient_accumulation_steps > 1, this is the micro-batch size
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block_size = 1024
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block_size = 1024
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# model
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# model
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