Model save

README.md

@@ -3,7 +3,6 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-base-patch16-224
 tags:
-- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -17,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-oxford-iiit-pets
 
-This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the pcuenq/oxford-pets dataset.
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2031
-- Accuracy: 0.9459
+- Loss: 0.2043
+- Accuracy: 0.9418
 
 ## Model description
 
@@ -51,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3727        | 1.0   | 370  | 0.2756          | 0.9337   |
-| 0.2145        | 2.0   | 740  | 0.2168          | 0.9378   |
-| 0.1835        | 3.0   | 1110 | 0.1918          | 0.9459   |
-| 0.147         | 4.0   | 1480 | 0.1857          | 0.9472   |
-| 0.1315        | 5.0   | 1850 | 0.1818          | 0.9472   |
+| 0.3734        | 1.0   | 370  | 0.2734          | 0.9337   |
+| 0.213         | 2.0   | 740  | 0.2147          | 0.9418   |
+| 0.1806        | 3.0   | 1110 | 0.1920          | 0.9445   |
+| 0.1449        | 4.0   | 1480 | 0.1859          | 0.9472   |
+| 0.131         | 5.0   | 1850 | 0.1815          | 0.9445   |
 
 
 ### Framework versions

runs/Apr17_19-12-57_ip-10-192-11-137/events.out.tfevents.1744917684.ip-10-192-11-137.146704.2

@@ -0,0 +1,3 @@
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+oid sha256:eebdc9eec8e653049ed58aac86278fc63bf9cfb1bf0b67d92dca6a32f473dedc
+size 411