init

experiments/model_finetuning_ner.py

@@ -131,7 +131,7 @@ def main(
             prediction = [p for la, p in zip(label, prediction) if la != -100]
             labels_new.append([ID2LABEL[la] for la in label])
             predictions_new.append([ID2LABEL[p] for p in prediction])
-        return seqeval.compute(predictions=predictions, references=labels)
+        return seqeval.compute(predictions=predictions_new, references=labels_new)
 
 
     def compute_metric_search(eval_pred):

experiments/requirements.txt

@@ -9,4 +9,5 @@ optuna==3.4.0
 accelerate==0.23.0
 evaluate==0.4.1
 sentencepiece==0.1.99
-protobuf==4.24.4
+protobuf==4.24.4
+seqeval==1.2.2