End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5125
+      value: 0.48125
 ---
 
 <!-- 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: 1.4561
-- Accuracy: 0.5125
+- Loss: 1.4776
+- Accuracy: 0.4813
 
 ## Model description
 
@@ -65,22 +65,22 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 10   | 1.9952          | 0.2562   |
-| No log        | 2.0   | 20   | 1.8898          | 0.3312   |
-| No log        | 3.0   | 30   | 1.7876          | 0.3875   |
-| No log        | 4.0   | 40   | 1.7055          | 0.375    |
-| No log        | 5.0   | 50   | 1.6422          | 0.4437   |
-| No log        | 6.0   | 60   | 1.5976          | 0.4688   |
-| No log        | 7.0   | 70   | 1.5605          | 0.4688   |
-| No log        | 8.0   | 80   | 1.5305          | 0.5      |
-| No log        | 9.0   | 90   | 1.5002          | 0.4938   |
-| No log        | 10.0  | 100  | 1.4880          | 0.4938   |
-| No log        | 11.0  | 110  | 1.4728          | 0.4625   |
-| No log        | 12.0  | 120  | 1.4561          | 0.5125   |
-| No log        | 13.0  | 130  | 1.4592          | 0.475    |
-| No log        | 14.0  | 140  | 1.4568          | 0.475    |
-| No log        | 15.0  | 150  | 1.4480          | 0.4813   |
-| No log        | 16.0  | 160  | 1.4512          | 0.475    |
+| No log        | 1.0   | 10   | 2.0310          | 0.2562   |
+| No log        | 2.0   | 20   | 1.9290          | 0.35     |
+| No log        | 3.0   | 30   | 1.8243          | 0.425    |
+| No log        | 4.0   | 40   | 1.7218          | 0.4562   |
+| No log        | 5.0   | 50   | 1.6600          | 0.4437   |
+| No log        | 6.0   | 60   | 1.6212          | 0.45     |
+| No log        | 7.0   | 70   | 1.5844          | 0.425    |
+| No log        | 8.0   | 80   | 1.5498          | 0.4437   |
+| No log        | 9.0   | 90   | 1.5272          | 0.4688   |
+| No log        | 10.0  | 100  | 1.5168          | 0.4562   |
+| No log        | 11.0  | 110  | 1.5019          | 0.4562   |
+| No log        | 12.0  | 120  | 1.4895          | 0.4562   |
+| No log        | 13.0  | 130  | 1.4857          | 0.475    |
+| No log        | 14.0  | 140  | 1.4810          | 0.4688   |
+| No log        | 15.0  | 150  | 1.4786          | 0.4688   |
+| No log        | 16.0  | 160  | 1.4776          | 0.4813   |
 
 
 ### Framework versions

runs/Jul20_11-08-33_697ab1f3dc43/events.out.tfevents.1721475546.697ab1f3dc43.2145.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6694e370775b8fa07c22fc66fb3836f53e467dc3aa1ba493442ee7c64f8d6e19
+size 411