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Delete trainer to freeze memory
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@ -162,7 +162,9 @@ def train_gpt(language, num_epochs, batch_size, grad_acumm, train_csv, eval_csv,
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longest_text_idx = samples_len.index(max(samples_len))
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speaker_ref = train_samples[longest_text_idx]["audio_file"]
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# deallocate VRAM
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del model
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trainer_out_path = trainer.output_path
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return XTTS_CONFIG_FILE, XTTS_CHECKPOINT, TOKENIZER_FILE, trainer.output_path, speaker_ref
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# deallocate VRAM
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del model, trainer
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return XTTS_CONFIG_FILE, XTTS_CHECKPOINT, TOKENIZER_FILE, trainer_out_path, speaker_ref
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