End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8072033898305084
+      value: 0.8008474576271186
 ---
 
 <!-- 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: 0.5097
-- Accuracy: 0.8072
+- Loss: 0.5119
+- Accuracy: 0.8008
 
 ## Model description
 
@@ -68,12 +68,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4782        | 3.01  | 50   | 0.4715          | 0.7712   |
-| 0.3701        | 6.02  | 100  | 0.4314          | 0.8093   |
-| 0.2965        | 9.02  | 150  | 0.4668          | 0.7818   |
-| 0.2518        | 12.03 | 200  | 0.4341          | 0.8178   |
-| 0.2121        | 15.04 | 250  | 0.4847          | 0.8008   |
-| 0.1899        | 18.05 | 300  | 0.5097          | 0.8072   |
+| 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   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b974356731c696c9ba873eebdbd17bade4e8d6ffdd8728fb88fd1d740242c489
+oid sha256:1429d063e7f9dab4ee860923ca714d1634fee3be3a653b939515067f8196671e
 size 343223968