Model save

README.md

@@ -2,7 +2,6 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -16,10 +15,10 @@ 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: 0.0221
-- Accuracy: 0.9925
+- Loss: 0.0127
+- Accuracy: 1.0
 
 ## Model description
 
@@ -51,8 +50,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0717        | 1.54  | 100  | 0.0341          | 1.0      |
-| 0.038         | 3.08  | 200  | 0.0221          | 0.9925   |
+| 0.0666        | 1.54  | 100  | 0.0324          | 0.9925   |
+| 0.0164        | 3.08  | 200  | 0.0127          | 1.0      |
 
 
 ### Framework versions