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-tutorial
 
-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: 0.5143
-- Accuracy: 0.9609
+- Loss: 0.2125
+- Accuracy: 0.9850
 
 ## Model description
 
@@ -51,9 +50,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0           | 1.54  | 100  | 0.1658          | 0.9850   |
-| 0.0           | 3.08  | 200  | 0.1742          | 0.9850   |
-| 0.0           | 4.62  | 300  | 0.1777          | 0.9850   |
+| 0.0           | 1.54  | 100  | 0.2011          | 0.9850   |
+| 0.0           | 3.08  | 200  | 0.2093          | 0.9850   |
+| 0.0           | 4.62  | 300  | 0.2125          | 0.9850   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:303112797de7be182c2934f4e65c7e7900526a2989042de53b089d976d9214b6
 size 343227052

runs/Jan24_02-46-57_579caf070ae1/events.out.tfevents.1706064423.579caf070ae1.3225.13

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 10028
+oid sha256:876d07ce3efdffabed297c5f6d90f96502565f3d90d93d8e21b702d85902cf02
+size 10696