Model save

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9694238815577728
+      value: 0.9485530546623794
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [d071696/vit-finetune-scrap](https://huggingface.co/d071696/vit-finetune-scrap) on the arrow dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1116
-- Accuracy: 0.9694
+- Loss: 0.2143
+- Accuracy: 0.9486
 
 ## Model description
 
@@ -63,7 +63,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1326        | 2.57  | 1000 | 0.1116          | 0.9694   |
+| 0.0035        | 3.22  | 1000 | 0.2143          | 0.9486   |
 
 
 ### Framework versions

runs/Mar29_16-45-17_X5C922065N/events.out.tfevents.1711728701.X5C922065N.53009.4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 26498
+oid sha256:a77d2e70784e7e62c23df7ede4412a9452cf5bef556097cdfa8d20e2d658f19a
+size 31916