Model save

README.md

@@ -17,8 +17,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4970
-- Accuracy: 0.5402
+- Loss: 1.7213
+- Accuracy: 0.4483
 
 ## Model description
 
@@ -37,7 +37,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 1e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -52,14 +52,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.0669        | 0.93  | 10   | 1.8739          | 0.4483   |
-| 1.7779        | 1.95  | 21   | 1.7844          | 0.4253   |
-| 1.6468        | 2.98  | 32   | 1.6641          | 0.5172   |
-| 1.5619        | 4.0   | 43   | 1.6033          | 0.5517   |
-| 1.6159        | 4.93  | 53   | 1.5406          | 0.5402   |
-| 1.4169        | 5.95  | 64   | 1.5055          | 0.5517   |
-| 1.3861        | 6.98  | 75   | 1.4805          | 0.5632   |
-| 1.3713        | 7.44  | 80   | 1.4970          | 0.5402   |
+| 2.0681        | 0.93  | 10   | 1.9095          | 0.2874   |
+| 1.831         | 1.95  | 21   | 1.8602          | 0.3793   |
+| 1.7667        | 2.98  | 32   | 1.8181          | 0.4023   |
+| 1.7262        | 4.0   | 43   | 1.7910          | 0.4598   |
+| 1.8574        | 4.93  | 53   | 1.7632          | 0.4598   |
+| 1.6504        | 5.95  | 64   | 1.7332          | 0.4828   |
+| 1.6352        | 6.98  | 75   | 1.7169          | 0.4828   |
+| 1.5997        | 7.44  | 80   | 1.7213          | 0.4483   |
 
 
 ### Framework versions

runs/Mar11_09-29-27_33467ebf2898/events.out.tfevents.1710149369.33467ebf2898.370.4

@@ -1,3 +1,3 @@
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+size 9345