End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6527777777777778
+      value: 0.75
 ---
 
 <!-- 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](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6279
-- Accuracy: 0.6528
+- Loss: 0.5012
+- Accuracy: 0.75
 
 ## Model description
 
@@ -62,17 +62,22 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 5
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 4    | 0.8011          | 0.5741   |
-| No log        | 2.0   | 8    | 0.6474          | 0.6759   |
-| 0.7485        | 3.0   | 12   | 0.6923          | 0.5463   |
-| 0.7485        | 4.0   | 16   | 0.6292          | 0.6713   |
-| 0.6057        | 5.0   | 20   | 0.6279          | 0.6528   |
+| 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     |
 
 
 ### Framework versions

model.safetensors

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 size 343223968

runs/Nov07_16-52-38_62e4925951f1/events.out.tfevents.1730998360.62e4925951f1.77.0

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