dev

app.py

@@ -72,7 +72,8 @@ def fine_tune_model(model, dataset_name, hub_id, api_key, num_epochs, batch_size
             print("Loading model from checkpoint...")
             model = AutoModelForSeq2SeqLM.from_pretrained(training_args.output_dir)        
     
-        max_length = 128
+        #max_length = 128
+        max_length = model.get_input_embeddings().weight.shape[0]
         try:
             tokenized_train_dataset = load_from_disk(f'/data/{hub_id.strip()}_train_dataset')
             tokenized_test_dataset = load_from_disk(f'/data/{hub_id.strip()}_test_dataset')