End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5
+      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: 1.4478
-- Accuracy: 0.5
+- Loss: 1.5566
+- Accuracy: 0.4375
 
 ## Model description
 
@@ -64,21 +64,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 43   | 1.7346          | 0.4313   |
-| No log        | 2.0   | 86   | 1.6677          | 0.45     |
-| No log        | 3.0   | 129  | 1.6176          | 0.4437   |
-| No log        | 4.0   | 172  | 1.5770          | 0.45     |
-| No log        | 5.0   | 215  | 1.5422          | 0.5125   |
-| No log        | 6.0   | 258  | 1.4992          | 0.5      |
-| No log        | 7.0   | 301  | 1.4668          | 0.5188   |
-| No log        | 8.0   | 344  | 1.4827          | 0.5188   |
-| No log        | 9.0   | 387  | 1.4713          | 0.4562   |
-| No log        | 10.0  | 430  | 1.4485          | 0.525    |
-| No log        | 11.0  | 473  | 1.4462          | 0.5312   |
-| 1.4483        | 12.0  | 516  | 1.4416          | 0.4938   |
-| 1.4483        | 13.0  | 559  | 1.4164          | 0.5125   |
-| 1.4483        | 14.0  | 602  | 1.4330          | 0.4875   |
-| 1.4483        | 15.0  | 645  | 1.4070          | 0.5188   |
+| No log        | 1.0   | 43   | 2.0423          | 0.2562   |
+| No log        | 2.0   | 86   | 1.9764          | 0.2812   |
+| No log        | 3.0   | 129  | 1.8803          | 0.3125   |
+| No log        | 4.0   | 172  | 1.7690          | 0.3187   |
+| No log        | 5.0   | 215  | 1.6910          | 0.375    |
+| No log        | 6.0   | 258  | 1.6397          | 0.3688   |
+| No log        | 7.0   | 301  | 1.6053          | 0.4688   |
+| No log        | 8.0   | 344  | 1.5674          | 0.4875   |
+| No log        | 9.0   | 387  | 1.5714          | 0.4625   |
+| No log        | 10.0  | 430  | 1.5394          | 0.4938   |
+| No log        | 11.0  | 473  | 1.5183          | 0.4375   |
+| 1.6941        | 12.0  | 516  | 1.5211          | 0.4938   |
+| 1.6941        | 13.0  | 559  | 1.4997          | 0.4562   |
+| 1.6941        | 14.0  | 602  | 1.5191          | 0.4375   |
+| 1.6941        | 15.0  | 645  | 1.4892          | 0.4875   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6ec7ae1f7c3f31951a7b0046f4598163060f79199fb389438c925397986f6c10
+oid sha256:8ca1ba59eba4ebed53c838f76965f7db91d79ff05fda79231d69e4225ad67b5d
 size 343287149