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slight tweak compressing LOC
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7
train.py
7
train.py
@ -233,13 +233,10 @@ X, Y = get_batch('train') # fetch the very first batch
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t0 = time.time()
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while True:
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# determine the learning rate for this iteration
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if decay_lr:
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lr = get_lr(iter_num)
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# determine and set the learning rate for this iteration
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lr = get_lr(iter_num) if decay_lr else learning_rate
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for param_group in optimizer.param_groups:
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param_group['lr'] = lr
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else:
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lr = learning_rate
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# evaluate the loss on train/val sets and write checkpoints
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if iter_num % eval_interval == 0 and master_process:
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