Training in progress, step 100

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: google/vit-base-patch16-224-in21k
+base_model: microsoft/swin-tiny-patch4-window7-224
 tags:
 - generated_from_trainer
 datasets:
@@ -8,7 +8,7 @@ datasets:
 metrics:
 - accuracy
 model-index:
-- name: attraction-classifier
+- name: attraction-classifier-swin
   results:
   - task:
       name: Image Classification
@@ -22,18 +22,18 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7939560439560439
+      value: 0.739010989010989
 ---
 
 <!-- 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
+# attraction-classifier-swin
 
-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.
+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.
 It achieves the following results on the evaluation set:
-- Loss: 0.4941
-- Accuracy: 0.7940
+- Loss: 0.5367
+- Accuracy: 0.7390
 
 ## Model description
 
@@ -65,20 +65,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5815        | 0.49  | 100  | 0.5738          | 0.7005   |
-| 0.528         | 0.98  | 200  | 0.5228          | 0.7335   |
-| 0.5096        | 1.46  | 300  | 0.5215          | 0.7418   |
-| 0.5381        | 1.95  | 400  | 0.5050          | 0.7720   |
-| 0.4269        | 2.44  | 500  | 0.4880          | 0.7665   |
-| 0.4428        | 2.93  | 600  | 0.4789          | 0.7720   |
-| 0.4307        | 3.41  | 700  | 0.5406          | 0.7363   |
-| 0.4185        | 3.9   | 800  | 0.5124          | 0.7473   |
-| 0.3094        | 4.39  | 900  | 0.4787          | 0.8022   |
-| 0.3041        | 4.88  | 1000 | 0.5230          | 0.7527   |
-| 0.2979        | 5.37  | 1100 | 0.4568          | 0.8242   |
-| 0.2193        | 5.85  | 1200 | 0.5367          | 0.7857   |
-| 0.2113        | 6.34  | 1300 | 0.5418          | 0.7967   |
-| 0.1916        | 6.83  | 1400 | 0.4941          | 0.7940   |
+| 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   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:6b1c1915425e62ca41f94b9e9d7176bcf3efbd02119383484138a7b9ec14508f
 size 343223968

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d53ca0735e5e81463a9a1adc8c61f0301e3d924cc9e7d09ca6b6b31752cb4f39
+oid sha256:cfdbc16ef845592d5d3e7b1c43c9871154a6773c8f8f3bfa72f7a0f5d71af093
 size 4155