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
@@ -17,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # beans_model
 
-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: 0.0630
-- Model Preparation Time: 0.006
-- Accuracy: 0.9774
+- Loss: 0.0264
+- Model Preparation Time: 0.0048
+- Accuracy: 0.9925
 
 ## Model description
 
@@ -53,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Model Preparation Time | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:----------------------:|:--------:|
-| 0.0983        | 1.5385 | 100  | 0.1126          | 0.006                  | 0.9624   |
-| 0.0283        | 3.0769 | 200  | 0.0630          | 0.006                  | 0.9774   |
+| 0.1068        | 1.5385 | 100  | 0.0307          | 0.0048                 | 1.0      |
+| 0.0316        | 3.0769 | 200  | 0.0264          | 0.0048                 | 0.9925   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c738a56da0f6e28356fd15fbacc0d9eba823527f1cd8634cb141421dd8700b6c
+oid sha256:2c4045b3e4f4ea0f0b8639474cc413015614252aeeeb6409213c3f2612227869
 size 343227052