commit files to HF hub

README.md

@@ -15,7 +15,7 @@ model-index:
     metrics:
       - name: Accuracy
         type: accuracy
-        value: 0.8866666555404663
+        value: 0.9196428656578064
 ---
 
 # krenzcolor_chkpt_classifier

pair_classification_pipeline.py

@@ -52,5 +52,5 @@ class PairClassificationPipeline(ImageClassificationPipeline):
     def extract_split_feature(self, left_image, right_image):
         model_inputs = self.feature_extractor(images=left_image, return_tensors=self.framework)
         right_inputs = self.feature_extractor(images=right_image, return_tensors=self.framework)
-        model_inputs['pixel_values'] = torch.cat([model_inputs['pixel_values'],right_inputs['pixel_values']], dim=1)
+        model_inputs['pixel_values'] = torch.cat([right_inputs['pixel_values'], model_inputs['pixel_values']], dim=1)
         return model_inputs

pipeline.py

@@ -52,5 +52,5 @@ class PairClassificationPipeline(ImageClassificationPipeline):
     def extract_split_feature(self, left_image, right_image):
         model_inputs = self.feature_extractor(images=left_image, return_tensors=self.framework)
         right_inputs = self.feature_extractor(images=right_image, return_tensors=self.framework)
-        model_inputs['pixel_values'] = torch.cat([model_inputs['pixel_values'],right_inputs['pixel_values']], dim=1)
+        model_inputs['pixel_values'] = torch.cat([right_inputs['pixel_values'], model_inputs['pixel_values']], dim=1)
         return model_inputs

pytorch_model.bin

@@ -1,3 +1,3 @@
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-oid sha256:ca3079bf8792c93f629db09fda958a7facd2440eefeb187fcb39cafa96cf661d
+oid sha256:b6abc36104093d15f2ff2ceddd0dab10748660cce399abaecd10097400464a3b
 size 345635761

runs/events.out.tfevents.1667234221.sa103.14351.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3acca13a82ad16456be038d21ef79542772dc06fda03610593019310260404f7
+size 1981