End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.1
+      value: 0.15
 ---
 
 <!-- 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-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.0861
-- Accuracy: 0.1
+- Loss: 2.0756
+- Accuracy: 0.15
 
 ## Model description
 
@@ -52,7 +52,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.001
+- learning_rate: 0.01
 - train_batch_size: 64
 - eval_batch_size: 64
 - seed: 42
@@ -64,11 +64,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 10   | 2.0852          | 0.1      |
-| No log        | 2.0   | 20   | 2.0891          | 0.1      |
-| No log        | 3.0   | 30   | 2.0863          | 0.1125   |
-| No log        | 4.0   | 40   | 2.0878          | 0.1125   |
-| No log        | 5.0   | 50   | 2.0878          | 0.1062   |
+| No log        | 1.0   | 10   | 2.1036          | 0.1187   |
+| No log        | 2.0   | 20   | 2.0755          | 0.15     |
+| No log        | 3.0   | 30   | 2.0863          | 0.1062   |
+| No log        | 4.0   | 40   | 2.0900          | 0.1062   |
+| No log        | 5.0   | 50   | 2.0880          | 0.1062   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
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 size 343287149