End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.4388888888888889
+      value: 0.9388888888888889
 ---
 
 <!-- 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](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8248
-- Accuracy: 0.4389
+- Loss: 0.7593
+- Accuracy: 0.9389
 
 ## Model description
 
@@ -58,23 +58,33 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine_with_restarts
-- num_epochs: 10
+- num_epochs: 20
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.2338        | 1.0   | 45   | 2.1647          | 0.1944   |
-| 2.1439        | 2.0   | 90   | 2.0883          | 0.2389   |
-| 2.0449        | 3.0   | 135  | 2.0265          | 0.2667   |
-| 1.9851        | 4.0   | 180  | 1.9385          | 0.3444   |
-| 1.9242        | 5.0   | 225  | 1.8869          | 0.3944   |
-| 1.8745        | 6.0   | 270  | 1.8432          | 0.4444   |
-| 1.831         | 7.0   | 315  | 1.8211          | 0.4556   |
-| 1.8017        | 8.0   | 360  | 1.8302          | 0.45     |
-| 1.8078        | 9.0   | 405  | 1.8164          | 0.45     |
-| 1.7895        | 10.0  | 450  | 1.7973          | 0.4556   |
+| 1.3787        | 1.0   | 45   | 1.3959          | 0.75     |
+| 1.283         | 2.0   | 90   | 1.2962          | 0.7889   |
+| 1.1978        | 3.0   | 135  | 1.2320          | 0.8056   |
+| 1.1274        | 4.0   | 180  | 1.1618          | 0.8333   |
+| 1.0807        | 5.0   | 225  | 1.0641          | 0.8556   |
+| 1.0178        | 6.0   | 270  | 1.0442          | 0.8333   |
+| 0.9573        | 7.0   | 315  | 0.9657          | 0.8889   |
+| 0.9072        | 8.0   | 360  | 0.9505          | 0.8833   |
+| 0.872         | 9.0   | 405  | 0.9192          | 0.8944   |
+| 0.8334        | 10.0  | 450  | 0.9023          | 0.8722   |
+| 0.814         | 11.0  | 495  | 0.8054          | 0.9278   |
+| 0.7668        | 12.0  | 540  | 0.8127          | 0.9444   |
+| 0.7569        | 13.0  | 585  | 0.7832          | 0.9167   |
+| 0.7483        | 14.0  | 630  | 0.8084          | 0.8833   |
+| 0.7548        | 15.0  | 675  | 0.7762          | 0.8833   |
+| 0.7258        | 16.0  | 720  | 0.7698          | 0.8889   |
+| 0.7149        | 17.0  | 765  | 0.7466          | 0.9111   |
+| 0.7001        | 18.0  | 810  | 0.7655          | 0.9222   |
+| 0.7159        | 19.0  | 855  | 0.7529          | 0.9      |
+| 0.7073        | 20.0  | 900  | 0.8048          | 0.8889   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:6eb90cf97c9d62174b8ebebce9dd08f174f3d0aa28e1f3cdb6098e1c54162d01
 size 343245508

runs/Mar17_11-53-42_3136dc9f316a/events.out.tfevents.1710677040.3136dc9f316a.256.5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1a30a1d7a22d1816b032416ccb06c2660b396b4ac47a07cc815ad912f2d638ed
+size 411