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@ -1121,6 +1121,9 @@ def train_one_epoch(
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)
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if batch_idx % (params.log_interval*params.accum_grads) == 0:
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for n, p in model.named_parameters():
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if 'adapter' in n:
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print(p)
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if params.multi_optim:
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cur_enc_lr = scheduler_enc.get_last_lr()[0]
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cur_dec_lr = scheduler_dec.get_last_lr()[0]
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