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add save_last_n_epochs_state to train_network
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@@ -367,9 +367,9 @@ def train(args):
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print(f"removing old checkpoint: {old_ckpt_file}")
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os.remove(old_ckpt_file)
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saving, remove_epoch_no = train_util.save_on_epoch_end(args, save_func, remove_old_func, epoch + 1, num_train_epochs)
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saving = train_util.save_on_epoch_end(args, save_func, remove_old_func, epoch + 1, num_train_epochs)
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if saving and args.save_state:
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train_util.save_state_on_epoch_end(args, accelerator, model_name, epoch + 1, remove_epoch_no)
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train_util.save_state_on_epoch_end(args, accelerator, model_name, epoch + 1)
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# end of epoch
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