End of training

README.md

@@ -1,6 +1,6 @@
 ---
-license: other
-base_model: apple/mobilevit-small
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
 tags:
 - generated_from_trainer
 datasets:
@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5693311582381729
+      value: 0.7803571428571429
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ARSL_letters_model
 
-This model is a fine-tuned version of [apple/mobilevit-small](https://huggingface.co/apple/mobilevit-small) 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: 2.7064
-- Accuracy: 0.5693
+- Loss: 2.3695
+- Accuracy: 0.7804
 
 ## Model description
 
@@ -65,11 +65,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
-|:-------------:|:------:|:----:|:---------------:|:--------:|
-| 3.2199        | 0.9902 | 76   | 3.1533          | 0.3613   |
-| 2.9611        | 1.9935 | 153  | 2.8133          | 0.5473   |
-| 2.8481        | 2.9707 | 228  | 2.7064          | 0.5693   |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 3.0992        | 1.0   | 35   | 2.9555          | 0.5036   |
+| 2.5809        | 2.0   | 70   | 2.5300          | 0.7054   |
+| 2.357         | 3.0   | 105  | 2.3695          | 0.7804   |
 
 
 ### Framework versions