finetune

游雁

2024-03-24 16a976a01d110d3969759be7720cae2b6b0664f7

 funasr/bin/train.py

@@ -128,7 +128,8 @@
    else:
        model = model.to(device=kwargs.get("device", "cuda"))

    logging.info(f"{model}")
    if local_rank == 0:
        logging.info(f"{model}")
    kwargs["device"] = next(model.parameters()).device
        
    # optim
@@ -148,9 +149,9 @@

    # dataset
    logging.info("Build dataloader")
    dataloader_class = tables.dataloader_classes.get( kwargs["dataset_conf"].get("dataloader", "DataloaderMapStyle"))
    dataloader_class = tables.dataloader_classes.get(kwargs["dataset_conf"].get("dataloader", "DataloaderMapStyle"))
    # dataloader = dataloader_class(**kwargs)
    dataloader_tr, dataloader_val = dataloader_class(**kwargs)

    trainer = Trainer(local_rank=local_rank,
                      use_ddp=use_ddp,
                      use_fsdp=use_fsdp,
@@ -172,15 +173,15 @@
    except:
        writer = None

    if use_ddp or use_fsdp:
        context = Join([model])
    else:
        context = nullcontext()
    # if use_ddp or use_fsdp:
    #     context = Join([model])
    # else:
    context = nullcontext()

    for epoch in range(trainer.start_epoch, trainer.max_epoch + 1):
        time1 = time.perf_counter()
        with context:
            
            # dataloader_tr, dataloader_val = dataloader.build_iter(epoch)
            trainer.train_epoch(
                                model=model,
                                optim=optim,