@@ -103,6 +103,8 @@ def train(model, train_dataloader,eval_dataloader, tokenizer, optimizer, lr_sche
val_loss =[]
if train_config.save_metrics:
+ if not os.path.exists(train_config.output_dir):
+ os.makedirs(train_config.output_dir, exist_ok=True)
metrics_filename = f"{train_config.output_dir}/metrics_data_{local_rank}-{datetime.now().strftime('%Y-%m-%d_%H-%M-%S')}.json"
train_step_perplexity = []
train_step_loss = []