End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.1875
+      value: 0.4375
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.0460
-- Accuracy: 0.1875
+- Loss: 1.6601
+- Accuracy: 0.4375
 
 ## Model description
 
@@ -52,7 +52,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-06
+- learning_rate: 5e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -67,11 +67,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.0766        | 1.0   | 10   | 2.0678          | 0.175    |
-| 2.067         | 2.0   | 20   | 2.0648          | 0.1437   |
-| 2.0586        | 3.0   | 30   | 2.0609          | 0.1375   |
-| 2.0519        | 4.0   | 40   | 2.0593          | 0.15     |
-| 2.0557        | 5.0   | 50   | 2.0519          | 0.2      |
+| 2.0289        | 1.0   | 10   | 1.9865          | 0.2812   |
+| 1.9055        | 2.0   | 20   | 1.8493          | 0.3875   |
+| 1.7613        | 3.0   | 30   | 1.7289          | 0.4625   |
+| 1.6622        | 4.0   | 40   | 1.6590          | 0.4688   |
+| 1.6224        | 5.0   | 50   | 1.6339          | 0.4688   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d89665726d0e0ab061bdac7122a1deeca1ef8e0a30ba4c4fc95b66a29a8d3ab7
+oid sha256:1227614eb30937847e53e2048416e57278453b1a38f2fae834f40d432bc71b4d
 size 343287149