Update README.md


README.md

@@ -1,40 +1,14 @@
 ---
 tags:
 - biology
+- pytorch
 metrics:
 - accuracy
 pipeline_tag: image-classification
+library_name: adapter-transformers
 ---
 Butterfly image classification model that use pre-trained cnn model resnet18 and fine-tuned the last fully connected layer to classify 75 categories of butterfly species.
 The model used the best checkpoint with 90% test accuracy. The model constructed on Pytorch environment.
 
-Epoch: 0 Train Loss: 3.00 Train Accuracy: 0.37 Test Accuracy: 0.70
-Epoch: 1 Train Loss: 1.18 Train Accuracy: 0.76 Test Accuracy: 0.78
-Epoch: 2 Train Loss: 0.75 Train Accuracy: 0.83 Test Accuracy: 0.83
-Epoch: 3 Train Loss: 0.60 Train Accuracy: 0.86 Test Accuracy: 0.85
-Epoch: 4 Train Loss: 0.51 Train Accuracy: 0.88 Test Accuracy: 0.85
-Epoch: 5 Train Loss: 0.43 Train Accuracy: 0.90 Test Accuracy: 0.86
-Epoch: 6 Train Loss: 0.39 Train Accuracy: 0.90 Test Accuracy: 0.87
-Epoch: 7 Train Loss: 0.35 Train Accuracy: 0.91 Test Accuracy: 0.87
-Epoch: 8 Train Loss: 0.32 Train Accuracy: 0.92 Test Accuracy: 0.88
-Epoch: 9 Train Loss: 0.32 Train Accuracy: 0.92 Test Accuracy: 0.89
-Epoch: 10 Train Loss: 0.28 Train Accuracy: 0.93 Test Accuracy: 0.89
-Epoch: 11 Train Loss: 0.28 Train Accuracy: 0.93 Test Accuracy: 0.88
-Epoch: 12 Train Loss: 0.26 Train Accuracy: 0.94 Test Accuracy: 0.89
-Epoch: 13 Train Loss: 0.25 Train Accuracy: 0.94 Test Accuracy: 0.89
-Epoch: 14 Train Loss: 0.23 Train Accuracy: 0.94 Test Accuracy: 0.89
-Epoch: 15 Train Loss: 0.23 Train Accuracy: 0.94 Test Accuracy: 0.89
-Epoch: 16 Train Loss: 0.22 Train Accuracy: 0.94 Test Accuracy: 0.89
-Epoch: 17 Train Loss: 0.21 Train Accuracy: 0.95 Test Accuracy: 0.89
-Epoch: 18 Train Loss: 0.20 Train Accuracy: 0.95 Test Accuracy: 0.90
-Epoch: 19 Train Loss: 0.20 Train Accuracy: 0.95 Test Accuracy: 0.90
-Epoch: 20 Train Loss: 0.20 Train Accuracy: 0.95 Test Accuracy: 0.89
-Epoch: 21 Train Loss: 0.19 Train Accuracy: 0.95 Test Accuracy: 0.90
-Epoch: 22 Train Loss: 0.19 Train Accuracy: 0.95 Test Accuracy: 0.90
-Epoch: 23 Train Loss: 0.19 Train Accuracy: 0.95 Test Accuracy: 0.89
-Epoch: 24 Train Loss: 0.18 Train Accuracy: 0.95 Test Accuracy: 0.90
-...
-Epoch: 26 Train Loss: 0.17 Train Accuracy: 0.96 Test Accuracy: 0.90
-Epoch: 27 Train Loss: 0.18 Train Accuracy: 0.95 Test Accuracy: 0.90
-Epoch: 28 Train Loss: 0.17 Train Accuracy: 0.96 Test Accuracy: 0.90
-Epoch: 29 Train Loss: 0.16 Train Accuracy: 0.96 Test Accuracy: 0.89
+training and testing result:
+Epoch: 28 Train Loss: 0.17 Train Accuracy: 0.96 Test Accuracy: 0.90