update model card README.md

README.md

@@ -13,8 +13,8 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: blurryimages
-      type: blurryimages
+      name: imagefolder
+      type: imagefolder
       config: default
       split: train
       args: default
@@ -29,9 +29,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-blur
 
-This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on a blurry images 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: 0.0007
+- Loss: 0.0008
 - Accuracy: 1.0
 
 ## Model description
@@ -51,22 +51,29 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0002
+- learning_rate: 0.0001
 - train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 12
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0027        | 2.27  | 100  | 0.0565          | 0.9870   |
-| 0.0013        | 4.55  | 200  | 0.0012          | 1.0      |
-| 0.0008        | 6.82  | 300  | 0.0008          | 1.0      |
-| 0.0007        | 9.09  | 400  | 0.0007          | 1.0      |
+| 0.0082        | 1.02  | 100  | 0.0107          | 1.0      |
+| 0.0079        | 2.04  | 200  | 0.0052          | 1.0      |
+| 0.0029        | 3.06  | 300  | 0.0028          | 1.0      |
+| 0.002         | 4.08  | 400  | 0.0020          | 1.0      |
+| 0.0016        | 5.1   | 500  | 0.0015          | 1.0      |
+| 0.0013        | 6.12  | 600  | 0.0013          | 1.0      |
+| 0.0011        | 7.14  | 700  | 0.0011          | 1.0      |
+| 0.001         | 8.16  | 800  | 0.0010          | 1.0      |
+| 0.0009        | 9.18  | 900  | 0.0009          | 1.0      |
+| 0.0008        | 10.2  | 1000 | 0.0008          | 1.0      |
+| 0.0008        | 11.22 | 1100 | 0.0008          | 1.0      |
 
 
 ### Framework versions