Model save

README.md

@@ -2,8 +2,6 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
-- vision
 - generated_from_trainer
 metrics:
 - accuracy
@@ -17,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-beans
 
-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 beans dataset.
+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: 0.2272
+- Loss: 0.2269
 - Accuracy: 0.9699
 
 ## Model description
@@ -52,12 +50,12 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
 | 0.9859        | 1.0   | 17   | 0.7492          | 0.9323   |
-| 0.6764        | 2.0   | 34   | 0.5274          | 0.9624   |
-| 0.4601        | 3.0   | 51   | 0.3714          | 0.9624   |
-| 0.4047        | 4.0   | 68   | 0.2976          | 0.9699   |
-| 0.3172        | 5.0   | 85   | 0.2534          | 0.9699   |
-| 0.2545        | 6.0   | 102  | 0.2284          | 0.9774   |
-| 0.2632        | 7.0   | 119  | 0.2272          | 0.9699   |
+| 0.6759        | 2.0   | 34   | 0.5282          | 0.9624   |
+| 0.461         | 3.0   | 51   | 0.3734          | 0.9624   |
+| 0.4048        | 4.0   | 68   | 0.2987          | 0.9699   |
+| 0.3174        | 5.0   | 85   | 0.2543          | 0.9699   |
+| 0.2542        | 6.0   | 102  | 0.2282          | 0.9774   |
+| 0.2627        | 7.0   | 119  | 0.2269          | 0.9699   |
 
 
 ### Framework versions