@@ -255,7 +255,7 @@ def train(model, train_dataloader,eval_dataloader, tokenizer, optimizer, lr_sche
results["metrics_filename"] = metrics_filename
#saving the training params including fsdp setting for reference.
- if train_config.enable_fsdp and not train_config.use_peft:
+ if train_config.enable_fsdp and not train_config.use_peft and rank==0:
save_train_params(train_config, fsdp_config, rank)
return results