Ygr avsr #16
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Ygr avsr #16
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ddlBoJack
reviewed
Dec 18, 2023
| @@ -103,6 +136,8 @@ def main(**kwargs): | |||
| model.to("cuda") | |||
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| dataset_config = generate_dataset_config(train_config, kwargs) | |||
| logger.info("dataset_config: {}".format(dataset_config)) | |||
| wandb.config.update( {"dataset_config": vars(dataset_config)} ) | |||
ddlBoJack
reviewed
Dec 18, 2023
| [print(f'Key: {k}, Value: {v}') for k, v in results.items()] | ||
| [logger.info(f'Key: {k}, Value: {v}') for k, v in results.items()] | ||
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| wandb.finish() |
ddlBoJack
reviewed
Dec 18, 2023
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| def main(**kwargs): | ||
| # Update the configuration for the training and sharding process | ||
| train_config, fsdp_config, model_config = TRAIN_CONFIG(), FSDP_CONFIG(), MODEL_CONFIG() | ||
| update_config((train_config, fsdp_config, model_config), **kwargs) | ||
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| # Set wandb | ||
| wandb_config={"train_config":vars(train_config), "fsdp_config":vars(fsdp_config), "model_config":vars(model_config)} |
ddlBoJack
reviewed
Dec 18, 2023
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| def main(**kwargs): | ||
| # Update the configuration for the training and sharding process | ||
| train_config, fsdp_config, model_config = TRAIN_CONFIG(), FSDP_CONFIG(), MODEL_CONFIG() | ||
| update_config((train_config, fsdp_config, model_config), **kwargs) | ||
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| # Set wandb | ||
| wandb_config={"train_config":vars(train_config), "fsdp_config":vars(fsdp_config), "model_config":vars(model_config)} | ||
| wandb.init(project="project_name",name="exp_name",config=wandb_config) #记录参数 |
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set name and local path
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wandb.init(dir="/root/SLAM-LLM/test_wandb/",project="project_name",name="exp_name",config=wandb_config) #
ddlBoJack
reviewed
Dec 18, 2023
| @@ -95,6 +101,10 @@ def train(model, train_dataloader,eval_dataloader, tokenizer, optimizer, lr_sche | |||
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| loss = loss / gradient_accumulation_steps | |||
| acc = acc / gradient_accumulation_steps | |||
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| if step % train_config.log_interval == 0: | |||
| wandb.log({"train_inner/train_inner_loss":loss, "train_inner/train_inner_accuracy":acc}) | |||
ddlBoJack
reviewed
Dec 18, 2023
| @@ -133,19 +143,21 @@ def train(model, train_dataloader,eval_dataloader, tokenizer, optimizer, lr_sche | |||
| train_loss.append(train_epoch_loss) | |||
| train_acc.append(train_epoch_acc) | |||
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| wandb.log({"train/train_perplexity":train_perplexity, "train/train_epoch_loss":train_epoch_loss, "train/train_epoch_acc":train_epoch_acc}) | |||
ddlBoJack
reviewed
Dec 18, 2023
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| save_model_and_optimizer_sharded(model, rank, train_config) | ||
| j(model, rank, train_config) |
ddlBoJack
reviewed
Dec 18, 2023
| val_loss.append(eval_epoch_loss) | ||
| val_prep.append(eval_ppl) | ||
| if rest: | ||
| val_acc.append(rest[0]) | ||
| else: | ||
| val_acc.append(-1) | ||
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| wandb.log({"valid/val_epoch_loss":eval_epoch_loss, "valid/val_perplexity":eval_ppl, "valid/best_val_loss":best_val_loss, "valid/val_accuracy":val_acc[-1]}) |
ddlBoJack
approved these changes
Dec 18, 2023
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wandb log