End of training

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: google/vit-base-patch16-224
+base_model: microsoft/beit-base-patch16-224-pt22k-ft22k
 tags:
 - generated_from_trainer
 datasets:
@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.75
+      value: 0.9259259259259259
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,10 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # CIDAUTv2
 
-This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
+This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5012
-- Accuracy: 0.75
+- Loss: 0.2719
+- Accuracy: 0.9259
 
 ## Model description
 
@@ -68,16 +68,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 4    | 0.7104          | 0.5139   |
-| No log        | 2.0   | 8    | 0.6436          | 0.6065   |
-| 0.685         | 3.0   | 12   | 0.6004          | 0.6944   |
-| 0.685         | 4.0   | 16   | 0.5978          | 0.6759   |
-| 0.5422        | 5.0   | 20   | 0.5582          | 0.7222   |
-| 0.5422        | 6.0   | 24   | 0.5222          | 0.7361   |
-| 0.5422        | 7.0   | 28   | 0.5060          | 0.7222   |
-| 0.4521        | 8.0   | 32   | 0.4957          | 0.7269   |
-| 0.4521        | 9.0   | 36   | 0.4781          | 0.75     |
-| 0.3741        | 10.0  | 40   | 0.5012          | 0.75     |
+| No log        | 1.0   | 4    | 0.7322          | 0.5880   |
+| No log        | 2.0   | 8    | 0.6585          | 0.5972   |
+| 0.7438        | 3.0   | 12   | 0.6115          | 0.7222   |
+| 0.7438        | 4.0   | 16   | 0.5726          | 0.7546   |
+| 0.5781        | 5.0   | 20   | 0.4803          | 0.7824   |
+| 0.5781        | 6.0   | 24   | 0.4627          | 0.8333   |
+| 0.5781        | 7.0   | 28   | 0.4060          | 0.8056   |
+| 0.4511        | 8.0   | 32   | 0.3512          | 0.8796   |
+| 0.4511        | 9.0   | 36   | 0.2725          | 0.9028   |
+| 0.296         | 10.0  | 40   | 0.2719          | 0.9259   |
 
 
 ### Framework versions

runs/Nov07_17-00-10_62065dcb3e0c/events.out.tfevents.1730998812.62065dcb3e0c.30.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 9444
+oid sha256:bad062ede9356b1a95ec4f9f87bbced7686904ca014c5a6297a8fa159bbaefbc
+size 10109