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310b71f669
@ -298,7 +298,7 @@ def train_embedding(embedding_name, learn_rate, batch_size, gradient_step, data_
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torch.nn.utils.clip_grad_norm_ if clip_grad_mode == "norm" else \
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None
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if clip_grad:
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clip_grad_sched = LearnRateScheduler(clip_grad_value, steps, ititial_step, verbose=False)
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clip_grad_sched = LearnRateScheduler(clip_grad_value, steps, initial_step, verbose=False)
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# dataset loading may take a while, so input validations and early returns should be done before this
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shared.state.textinfo = f"Preparing dataset from {html.escape(data_root)}..."
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old_parallel_processing_allowed = shared.parallel_processing_allowed
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