End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9929
-- Accuracy: 0.913
+- Loss: 0.5686
+- Accuracy: 0.927
 
 ## Model description
 
@@ -38,8 +38,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 125  | 1.6819          | 0.885    |
-| No log        | 2.0   | 250  | 1.1371          | 0.905    |
-| No log        | 3.0   | 375  | 0.9942          | 0.914    |
+| No log        | 1.0   | 250  | 1.0221          | 0.904    |
+| 1.4226        | 2.0   | 500  | 0.5814          | 0.929    |
+| 1.4226        | 3.0   | 750  | 0.4850          | 0.927    |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:62862a1c06391293548c9446a05c2fc63c2982b271d4930401fd5cf87d3802cd
+oid sha256:eb0bd42645ce75f8edd2b3aa131273f7ea1378c2c460fe74dc48ba1bd0727f25
 size 343528508