Model save

README.md

@@ -3,8 +3,6 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
-- vision
 - generated_from_trainer
 metrics:
 - accuracy
@@ -18,10 +16,10 @@ 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: 0.0650
-- Accuracy: 0.9925
+- Loss: 0.0817
+- Accuracy: 0.9774
 
 ## Model description
 
@@ -52,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2815        | 1.0   | 130  | 0.2165          | 0.9624   |
-| 0.1287        | 2.0   | 260  | 0.1313          | 0.9699   |
-| 0.1408        | 3.0   | 390  | 0.0998          | 0.9699   |
-| 0.0846        | 4.0   | 520  | 0.0650          | 0.9925   |
-| 0.1105        | 5.0   | 650  | 0.0837          | 0.9774   |
+| 0.2859        | 1.0   | 130  | 0.2189          | 0.9624   |
+| 0.1316        | 2.0   | 260  | 0.1334          | 0.9699   |
+| 0.1438        | 3.0   | 390  | 0.0981          | 0.9699   |
+| 0.0833        | 4.0   | 520  | 0.0656          | 0.9925   |
+| 0.1107        | 5.0   | 650  | 0.0817          | 0.9774   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cd307f1a8e2afbdd6c7a4f8ce2c3259d00a3208bc60f075e0da496bc99a5b271
+oid sha256:9642438303d2b063dc124d1182a3b2a785cd9f704a965ed7052fc72f1c60318d
 size 343227052