Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.14285714285714285
+      value: 0.21428571428571427
 ---
 
 <!-- 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: 2.0641
-- Accuracy: 0.1429
+- Loss: 2.0500
+- Accuracy: 0.2143
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 1    | 2.0776          | 0.0      |
-| No log        | 2.0   | 2    | 2.0694          | 0.0714   |
-| No log        | 3.0   | 3    | 2.0641          | 0.1429   |
+| No log        | 1.0   | 1    | 2.0641          | 0.1429   |
+| No log        | 2.0   | 2    | 2.0558          | 0.2857   |
+| No log        | 3.0   | 3    | 2.0500          | 0.2143   |
 
 
 ### Framework versions

runs/Dec29_02-23-25_3a4c0f957909/events.out.tfevents.1703816608.3a4c0f957909.40100.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c9cc302d1332b1f001a231776397e2d8624d4668700fbdb5f789ff7ebc3c5784
-size 5292
+oid sha256:c2f644f79784d21d5bbb6dcf8b5380c763feabbed219bd7bc9fa09505db9cd39
+size 5957