Training in progress, step 100

README.md

@@ -8,7 +8,7 @@ datasets:
 metrics:
 - accuracy
 model-index:
-- name: attraction-classifier
+- name: emikes-classifier
   results:
   - task:
       name: Image Classification
@@ -22,18 +22,18 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7663043478260869
+      value: 1.0
 ---
 
 <!-- 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
+# emikes-classifier
 
 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: 0.5153
-- Accuracy: 0.7663
+- Loss: 0.0253
+- Accuracy: 1.0
 
 ## Model description
 
@@ -65,16 +65,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6128        | 0.48  | 100  | 0.5946          | 0.6875   |
-| 0.6173        | 0.97  | 200  | 0.6213          | 0.6766   |
-| 0.5345        | 1.45  | 300  | 0.5468          | 0.7174   |
-| 0.512         | 1.93  | 400  | 0.6496          | 0.6929   |
-| 0.4906        | 2.42  | 500  | 0.5912          | 0.6658   |
-| 0.4952        | 2.9   | 600  | 0.4968          | 0.7663   |
-| 0.404         | 3.38  | 700  | 0.4775          | 0.7418   |
-| 0.4944        | 3.86  | 800  | 0.4939          | 0.7717   |
-| 0.3404        | 4.35  | 900  | 0.5335          | 0.7772   |
-| 0.3732        | 4.83  | 1000 | 0.5153          | 0.7663   |
+| 0.3954        | 1.25  | 10   | 0.3092          | 0.8571   |
+| 0.1249        | 2.5   | 20   | 0.1407          | 1.0      |
+| 0.046         | 3.75  | 30   | 0.0666          | 1.0      |
+| 0.034         | 5.0   | 40   | 0.1060          | 0.9286   |
+| 0.0255        | 6.25  | 50   | 0.0295          | 1.0      |
+| 0.0198        | 7.5   | 60   | 0.0274          | 1.0      |
+| 0.0209        | 8.75  | 70   | 0.1060          | 0.9286   |
+| 0.02          | 10.0  | 80   | 0.0253          | 1.0      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:df40470b23b9a7cecfc716bb06062cd7fb28ea5fe92a4d6b4e2ce5456d62a5f6
+oid sha256:80d9b05dc491726f7b285350591e516e0ce93f14a0f72308aee6b60e30a3a2d6
 size 343223968