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make mid_train script work even with a tiny number of iterations
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@ -139,7 +139,7 @@ def mid_data_generator(split):
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last_step = True # toggle last_step to True, which will terminate the training loop
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last_step = True # toggle last_step to True, which will terminate the training loop
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# Stopping condition to respect num_iterations, if given
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# Stopping condition to respect num_iterations, if given
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it += 1
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it += 1
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if num_iterations > 0 and it >= num_iterations:
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if num_iterations > 0 and it >= num_iterations and split == "train":
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last_step = True # toggle last_step to True, which will terminate the training loop
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last_step = True # toggle last_step to True, which will terminate the training loop
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# Build up inputs/targets and yield
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# Build up inputs/targets and yield
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for i in range(needed_tokens):
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for i in range(needed_tokens):
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