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: 0.5671
+- Loss: 0.5642
 - Accuracy: 0.9699
 
 ## Model description
@@ -51,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.9886        | 1.0   | 17   | 0.7763          | 0.9248   |
-| 0.7243        | 2.0   | 34   | 0.6225          | 0.9549   |
-| 0.6062        | 3.0   | 51   | 0.5671          | 0.9699   |
+| 0.9886        | 1.0   | 17   | 0.7757          | 0.9248   |
+| 0.7223        | 2.0   | 34   | 0.6194          | 0.9549   |
+| 0.6036        | 3.0   | 51   | 0.5642          | 0.9699   |
 
 
 ### Framework versions