diff --git a/ucsinfer/__main__.py b/ucsinfer/__main__.py
index 1ea7215..1b5fab6 100644
--- a/ucsinfer/__main__.py
+++ b/ucsinfer/__main__.py
@@ -77,13 +77,17 @@ def finetune():
 
 
 @ucsinfer.command('evaluate')
-@click.option('--offset', type=int, default=0)
-@click.option('--limit', type=int, default=-1)
+@click.option('--offset', type=int, default=0, metavar="<int>", 
+              help='Skip this many records in the dataset before processing')
+@click.option('--limit', type=int, default=-1, metavar="<int>",
+              help='Process this many records and then exit')
 @click.option('--no-foley', 'no_foley', flag_value=True, default=False, 
               help="Ignore any data in the set with FOLYProp or FOLYFeet "
               "category")
-@click.option('--model', type=str, 
-              default="paraphrase-multilingual-mpnet-base-v2")
+@click.option('--model', type=str, metavar="<model-name>", 
+              default="paraphrase-multilingual-mpnet-base-v2",
+              show_default=True, 
+              help="Select the sentence_transformer model to use")
 @click.argument('dataset', type=click.File('r', encoding='utf8'),
                 default='dataset.csv')
 def evaluate(dataset, offset, limit, model, no_foley):
@@ -110,8 +114,17 @@ def evaluate(dataset, offset, limit, model, no_foley):
     ctx = InferenceContext(m, model)
     reader = csv.reader(dataset)
 
+    print(f"Evaluating model {model}...")
     results = []
-    for i, row in enumerate(tqdm.tqdm(reader)):
+    
+    if offset > 0:
+        print(f"Skipping {offset} records...")
+
+    if limit > 0:
+        print(f"Will only evaluate {limit} records...")
+
+    progress_bar = tqdm.tqdm(total=limit)
+    for i, row in enumerate(reader):
         if i < offset:
             continue
 
@@ -131,6 +144,8 @@ def evaluate(dataset, offset, limit, model, no_foley):
             results.append({'catid': cat_id, 'result': "TOP_10"})
         else:
             results.append({'catid': cat_id, 'result': "MISS"})
+        
+        progress_bar.update(1)
 
     total = len(results)
     total_top = len([x for x in results if x['result'] == 'TOP'])