fix: eval func

train.py

@@ -169,7 +169,7 @@ def train(accelerator, config):
                 accelerator.save_state(f"{config['output_dir']}/step_{curr_step}")
 
             if step > 0 and (step % config["eval_every"] == 0 or step == len(train_dataloader) - 1):
-                val_loss = evaluate(config, model, val_dataloader)
+                val_loss = evaluate(model, val_dataloader)
 
                 log_train = {
                         "train_loss": train_loss.compute()