End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.48125
+      value: 0.525
 ---
 
 <!-- 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: 1.3130
-- Accuracy: 0.4813
+- Loss: 1.4004
+- Accuracy: 0.525
 
 ## Model description
 
@@ -64,11 +64,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 20   | 1.5227          | 0.3875   |
-| No log        | 2.0   | 40   | 1.4089          | 0.4813   |
-| No log        | 3.0   | 60   | 1.3629          | 0.4375   |
-| No log        | 4.0   | 80   | 1.3489          | 0.4813   |
-| No log        | 5.0   | 100  | 1.2853          | 0.5188   |
+| No log        | 1.0   | 20   | 1.8521          | 0.325    |
+| No log        | 2.0   | 40   | 1.5887          | 0.4188   |
+| No log        | 3.0   | 60   | 1.4761          | 0.4625   |
+| No log        | 4.0   | 80   | 1.4089          | 0.5      |
+| No log        | 5.0   | 100  | 1.3928          | 0.4688   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:26f251f16ec6c60c724eb1d3d61ac15b8791c42b8ba5c4cffa2f5617200a8226
+oid sha256:8973ebf7bf4b6aa156d25f0509d96157658fac314af00030ffa6d7fbba3d1a73
 size 343287149