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update paths
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@@ -266,7 +266,7 @@ def train_embedding(embedding_name, learn_rate, batch_size, gradient_step, data_
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filename = os.path.join(shared.cmd_opts.embeddings_dir, f'{embedding_name}.pt')
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log_directory = os.path.join(log_directory, datetime.datetime.now().strftime("%Y-%m-%d"), embedding_name)
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log_directory = os.path.join(log_directory, embedding_name)
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unload = shared.opts.unload_models_when_training
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if save_embedding_every > 0:
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@@ -421,7 +421,7 @@ def train_embedding(embedding_name, learn_rate, batch_size, gradient_step, data_
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save_embedding(embedding, optimizer, checkpoint, embedding_name_every, last_saved_file, remove_cached_checksum=True)
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embedding_yet_to_be_embedded = True
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write_loss(log_directory, "textual_inversion_loss.csv", embedding.step, steps_per_epoch, {
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write_loss(log_directory, "train.csv", embedding.step, steps_per_epoch, {
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"loss": f"{loss_step:.7f}",
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"learn_rate": scheduler.learn_rate
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})
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