End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: google/vit-base-patch16-224-in21k
+base_model: Treelar/vit-b16-plant_village
 tags:
 - image-classification
 - generated_from_trainer
@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-b16-plant_village
 
-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 Treelar/plant_village dataset.
+This model is a fine-tuned version of [Treelar/vit-b16-plant_village](https://huggingface.co/Treelar/vit-b16-plant_village) on the Treelar/plant_village dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0173
-- Accuracy: 0.9966
+- Loss: 0.0100
+- Accuracy: 0.9973
 
 ## Model description
 
@@ -44,16 +44,14 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 4
+- num_epochs: 2
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.2048        | 1.0   | 3119  | 0.0559          | 0.9798   |
-| 0.0639        | 2.0   | 6238  | 0.0475          | 0.9879   |
-| 0.0004        | 3.0   | 9357  | 0.0241          | 0.9957   |
-| 0.01          | 4.0   | 12476 | 0.0173          | 0.9966   |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1747        | 1.0   | 3119 | 0.0364          | 0.9885   |
+| 0.0031        | 2.0   | 6238 | 0.0100          | 0.9973   |
 
 
 ### Framework versions