End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.54375
+      value: 0.6
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ 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: 1.3286
-- Accuracy: 0.5437
+- Loss: 1.2399
+- Accuracy: 0.6
 
 ## Model description
 
@@ -65,26 +65,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.8692        | 1.0   | 40   | 1.7901          | 0.3375   |
-| 1.5028        | 2.0   | 80   | 1.5291          | 0.4313   |
-| 1.208         | 3.0   | 120  | 1.3968          | 0.5      |
-| 0.8793        | 4.0   | 160  | 1.3444          | 0.525    |
-| 0.6117        | 5.0   | 200  | 1.3084          | 0.4938   |
-| 0.3938        | 6.0   | 240  | 1.3860          | 0.4562   |
-| 0.2463        | 7.0   | 280  | 1.3927          | 0.4688   |
-| 0.1599        | 8.0   | 320  | 1.3286          | 0.5437   |
-| 0.1221        | 9.0   | 360  | 1.4008          | 0.525    |
-| 0.104         | 10.0  | 400  | 1.4020          | 0.525    |
-| 0.0922        | 11.0  | 440  | 1.4170          | 0.5312   |
-| 0.0835        | 12.0  | 480  | 1.4330          | 0.525    |
-| 0.0768        | 13.0  | 520  | 1.4395          | 0.525    |
-| 0.0718        | 14.0  | 560  | 1.4485          | 0.525    |
-| 0.068         | 15.0  | 600  | 1.4676          | 0.525    |
-| 0.0649        | 16.0  | 640  | 1.4724          | 0.525    |
-| 0.0629        | 17.0  | 680  | 1.4756          | 0.525    |
-| 0.0614        | 18.0  | 720  | 1.4814          | 0.525    |
-| 0.0603        | 19.0  | 760  | 1.4857          | 0.525    |
-| 0.06          | 20.0  | 800  | 1.4844          | 0.525    |
+| 1.9118        | 1.0   | 40   | 1.8032          | 0.4      |
+| 1.5331        | 2.0   | 80   | 1.5209          | 0.4813   |
+| 1.2503        | 3.0   | 120  | 1.4198          | 0.5      |
+| 0.9242        | 4.0   | 160  | 1.3261          | 0.5625   |
+| 0.6821        | 5.0   | 200  | 1.2891          | 0.5625   |
+| 0.4062        | 6.0   | 240  | 1.2399          | 0.6      |
+| 0.2304        | 7.0   | 280  | 1.2819          | 0.5563   |
+| 0.1572        | 8.0   | 320  | 1.2891          | 0.5625   |
+| 0.1205        | 9.0   | 360  | 1.3398          | 0.5563   |
 
 
 ### Framework versions

model.safetensors

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runs/Feb24_11-16-08_b997ef59dd0f/events.out.tfevents.1740395844.b997ef59dd0f.7820.0

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training_args.bin

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