Model save

README.md

@@ -3,7 +3,6 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -17,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-beans-demo-v18Set
 
-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: 0.0183
-- Accuracy: 0.9925
+- Loss: 0.0673
+- Accuracy: 0.9850
 
 ## Model description
 
@@ -52,8 +51,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.078         | 1.5385 | 100  | 0.2393          | 0.9023   |
-| 0.0146        | 3.0769 | 200  | 0.0183          | 0.9925   |
+| 0.0625        | 1.5385 | 100  | 0.1025          | 0.9774   |
+| 0.0119        | 3.0769 | 200  | 0.0673          | 0.9850   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dc1c34f306686c6a2550bb2f04dc8b442ae2ee328f66a178104c8299fbd229ba
+oid sha256:27bd7f6208fcb9c2202470e06720bbfb6b4b5d9c19281f8c7d7187f1c2df887c
 size 343227052