init

training_scripts/finetune_t5.py

@@ -163,8 +163,8 @@ def validate(
     data = [i[dataset_column_text] for i in dataset_instance]
     model_score = []
     for model_path in glob(f"{output_dir}/*/*"):
-        prediction_file = f"{model_path}/prediction.validate.{dataset}.{dataset_name}.txt"
-        metric_file = f"{model_path}/metric.validate.{dataset}.{dataset_name}.json"
+        prediction_file = f"{model_path}/prediction.validate.{os.path.basename(dataset)}.{dataset_name}.txt"
+        metric_file = f"{model_path}/metric.validate.{os.path.basename(dataset)}.{dataset_name}.json"
         metric = get_metric(
             prediction_file=prediction_file,
             metric_file=metric_file,
@@ -195,8 +195,8 @@ def test(
     label = [i[dataset_column_label] for i in dataset_instance]
     data = [i[dataset_column_text] for i in dataset_instance]
     model_path = f'{output_dir}/best_model'
-    prediction_file = f"{model_path}/prediction.{dataset}.{dataset_name}.txt"
-    metric_file = f"{model_path}/metric.{dataset}.{dataset_name}.json"
+    prediction_file = f"{model_path}/prediction.{os.path.basename(dataset)}.{dataset_name}.txt"
+    metric_file = f"{model_path}/metric.{os.path.basename(dataset)}.{dataset_name}.json"
     metric = get_metric(
         prediction_file=prediction_file,
         metric_file=metric_file,