End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8008474576271186
+      value: 0.8050847457627118
 ---
 
 <!-- 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: 0.5119
-- Accuracy: 0.8008
+- Loss: 0.4771
+- Accuracy: 0.8051
 
 ## Model description
 
@@ -68,12 +68,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4843        | 3.01  | 50   | 0.4898          | 0.7797   |
-| 0.3675        | 6.02  | 100  | 0.4464          | 0.7945   |
-| 0.3007        | 9.02  | 150  | 0.4727          | 0.7818   |
-| 0.2485        | 12.03 | 200  | 0.4357          | 0.8093   |
-| 0.2029        | 15.04 | 250  | 0.4820          | 0.8072   |
-| 0.1872        | 18.05 | 300  | 0.5119          | 0.8008   |
+| 0.4945        | 3.01  | 50   | 0.4621          | 0.7669   |
+| 0.3739        | 6.02  | 100  | 0.4412          | 0.8072   |
+| 0.3005        | 9.02  | 150  | 0.4343          | 0.8008   |
+| 0.2583        | 12.03 | 200  | 0.4364          | 0.8157   |
+| 0.2166        | 15.04 | 250  | 0.4975          | 0.8093   |
+| 0.1874        | 18.05 | 300  | 0.4771          | 0.8051   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:04cbc8024fe44d26aa56ed9e6985903a46efc78a2835c0707096b57e982cf07f
+oid sha256:388c5de3fe98b203d85a889f66072c4423a997224074517ff8acd65093727b35
 size 343223968