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Update training.py - correct use of lora_names (#2988)
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@ -283,7 +283,7 @@ def do_train(lora_name: str, always_override: bool, save_steps: int, micro_batch
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else:
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model_id = "llama"
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if model_type == "PeftModelForCausalLM":
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if len(shared.args.lora_names) > 0:
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if len(shared.lora_names) > 0:
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yield "You are trying to train a LoRA while you already have another LoRA loaded. This will work, but may have unexpected effects. *(Will continue anyway in 5 seconds, press `Interrupt` to stop.)*"
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logger.warning("Training LoRA over top of another LoRA. May have unexpected effects.")
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else:
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