Update README.md

README.md

@@ -1,11 +1,25 @@
 ---
+license: apache-2.0
 tags:
 - generated_from_trainer
 datasets:
 - cifar100
+metrics:
+- accuracy
 model-index:
 - name: swin-tiny-finetuned-cifar100
-  results: []
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: cifar100
+      type: cifar100
+      args: cifar100
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8735
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -13,7 +27,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # swin-tiny-finetuned-cifar100
 
-This model was trained from scratch on the cifar100 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 cifar100 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4223
+- Accuracy: 0.8735
 
 ## Model description
 
@@ -41,7 +58,21 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 20
+- num_epochs: 20 (with early stopping)
+
+### Training results
+
+| Training Loss | Epoch | Step | Accuracy | Validation Loss |
+|:-------------:|:-----:|:----:|:--------:|:---------------:|
+| 0.6439        | 1.0   | 781  | 0.8138   | 0.6126          |
+| 0.6222        | 2.0   | 1562 | 0.8393   | 0.5094          |
+| 0.2912        | 3.0   | 2343 | 0.861    | 0.4452          |
+| 0.2234        | 4.0   | 3124 | 0.8679   | 0.4330          |
+| 0.121         | 5.0   | 3905 | 0.8735   | 0.4223          |
+| 0.2589        | 6.0   | 4686 | 0.8622   | 0.4775          |
+| 0.1419        | 7.0   | 5467 | 0.8642   | 0.4900          |
+| 0.1513        | 8.0   | 6248 | 0.8667   | 0.4956          |
+
 
 ### Framework versions