End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: microsoft/swin-tiny-patch4-window7-224
+base_model: google/vit-base-patch16-224-in21k
 tags:
 - generated_from_trainer
 datasets:
@@ -8,7 +8,7 @@ datasets:
 metrics:
 - accuracy
 model-index:
-- name: attraction-classifier-swin
+- name: attraction-classifier
   results:
   - task:
       name: Image Classification
@@ -22,18 +22,18 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.739010989010989
+      value: 0.7465940054495913
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# attraction-classifier-swin
+# attraction-classifier
 
-This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder 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 the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5367
-- Accuracy: 0.7390
+- Loss: 0.5204
+- Accuracy: 0.7466
 
 ## Model description
 
@@ -65,15 +65,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6207        | 0.49  | 100  | 0.5599          | 0.7115   |
-| 0.6256        | 0.98  | 200  | 0.5238          | 0.7225   |
-| 0.597         | 1.46  | 300  | 0.5003          | 0.7418   |
-| 0.6121        | 1.95  | 400  | 0.5409          | 0.7610   |
-| 0.5457        | 2.44  | 500  | 0.5123          | 0.7555   |
-| 0.5258        | 2.93  | 600  | 0.4792          | 0.7637   |
-| 0.504         | 3.41  | 700  | 0.5169          | 0.7390   |
-| 0.541         | 3.9   | 800  | 0.4858          | 0.7582   |
-| 0.5704        | 4.39  | 900  | 0.5367          | 0.7390   |
+| 0.6401        | 0.48  | 100  | 0.6248          | 0.6512   |
+| 0.5832        | 0.97  | 200  | 0.5530          | 0.7493   |
+| 0.6077        | 1.45  | 300  | 0.5085          | 0.7466   |
+| 0.5551        | 1.93  | 400  | 0.5322          | 0.7357   |
+| 0.4431        | 2.42  | 500  | 0.5745          | 0.7084   |
+| 0.4644        | 2.9   | 600  | 0.5204          | 0.7466   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:25caecbe8599a5555d469a5f10c749a88fe731f7b6582c76fb3ec08645db10dc
+oid sha256:45bf045aa8052fd9032819e6ef2c813b8dd5642787d16d53512c4f12f68bc479
 size 343223968