[Add] LoRA support #10
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sergiopaniego
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| lora_model = get_peft_model(model=model, peft_config=lora_config).to(cfg.device) | ||
| lora_model.print_trainable_parameters() | ||
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| model.train() |
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I think we're mixing here the adapter and the baseline models.
lora_train.train()?
| params_to_train = list(filter(lambda x: x.requires_grad, model.parameters())) | ||
| optimizer = torch.optim.AdamW(params_to_train, lr=cfg.learning_rate) | ||
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| train_model(model, optimizer, cfg, train_dataloader) |
10 tasks
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@ariG23498 is this complete? or needs some refinements as @sergiopaniego mentioned |
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CC: @sergiopaniego