End of training

README.md

@@ -5,9 +5,24 @@ tags:
 - generated_from_trainer
 datasets:
 - imagefolder
+metrics:
+- accuracy
 model-index:
 - name: emikes-classifier
-  results: []
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 1.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
 # 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: 0.0253
+- Accuracy: 1.0
 
 ## Model description
 
@@ -45,6 +63,16 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 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
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+oid sha256:4e546a004d095c4c7cf75cc432d65d845d4c0fa099c82f6e215d3ff1bf08dce5
 size 343223968