defaults changed

scripts/metric_calculation/peft_metric_calc.py

@@ -21,26 +21,18 @@
 
 
 """
-This script can be used to calcualte exact match and F1 scores for many different tasks, not just squad. 
-
-Example command for T5 Preds
-
-    ```
-    python squad_metric_calc.py \
-        --ground-truth squad_test_gt.jsonl \
-        --preds squad_preds_t5.txt
-    ```
+This script can be used to calcualte exact match and F1 scores for many different tasks. 
+The file "squad_test_predictions.jsonl" is assumed to be generated by the 
+`examples/nlp/language_modeling/tuning/megatron_gpt_peft_eval.py` script
 
 Example command for GPT Preds
 
     ```
-    python squad_metric_calc.py \
-        --ground-truth squad_test_gt.jsonl \
-        --preds squad_preds_gpt.txt \
-        --split-string "answer:"
+    python peft_metric_calc.py \
+        --pred_file squad_test_predictions.jsonl \
+        --label_field "original_answers" \
     ```
 
-    In this case, the prediction file will be split on "answer: " when looking for the LM's predicted answer. 
 
 """
 
@@ -92,21 +84,21 @@ def metric_max_over_ground_truths(metric_fn, prediction, ground_truths):
 def main():
     parser = argparse.ArgumentParser(description='Process some integers.')
     parser.add_argument(
-        '--pred-file',
+        '--pred_file',
         type=str,
         help="Text file with test set prompts + model predictions. Prediction file can be made by running NeMo/examples/nlp/language_modeling/megatron_gpt_prompt_learning_eval.py",
     )
     parser.add_argument(
-        '--pred-field',
+        '--pred_field',
         type=str,
         help="The field in the json file that contains the prediction tokens",
         default="pred",
     )
     parser.add_argument(
-        '--ground-truth-field',
+        '--label_field',
         type=str,
         help="The field in the json file that contains the ground truth tokens",
-        default="original_answers",
+        default="label",
     )
 
     args = parser.parse_args()
@@ -120,7 +112,7 @@ def main():
         pred_line = json.loads(preds[i])
 
         pred_answer = pred_line[args.pred_field]
-        true_answers = pred_line[args.ground_truth_field]
+        true_answers = pred_line[args.label_field]
         if not isinstance(true_answers, list):
             true_answers = [true_answers]