updated the evaluation script for retriver

examples/evaluate_ict_zeroshot_nq.sh → examples/evaluate_retriever_nq.sh

 #!/bin/bash
 
 # Evaluate natural question test data given Wikipedia embeddings and pretrained
-# ICT model
+# ICT model or a finetuned model for Natural Question task
 
 # Datasets can be downloaded from the following link:
 # https://github.com/facebookresearch/DPR/blob/master/data/download_data.py
 
 EVIDENCE_DATA_DIR=<Specify path of Wikipedia dataset>
 EMBEDDING_PATH=<Specify path of the embeddings>
-CHECKPOINT_PATH=<Specify path of pretrained ICT model>
+CHECKPOINT_PATH=<Specify path of pretrained ICT model or finetuned model>
 
-QA_FILE=<Path of the natural question test dataset>
+QA_FILE=<Path of the natural question dev or test dataset>
 
 python tasks/main.py \
-    --task ICT-ZEROSHOT-NQ \
+    --task RETRIEVER-EVAL \
     --tokenizer-type BertWordPieceLowerCase \
     --num-layers 12 \
     --hidden-size 768 \