Model save

README.md

@@ -2,8 +2,6 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
-- vision
 - generated_from_trainer
 metrics:
 - accuracy
@@ -17,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-beans
 
-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 beans 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5644
+- Loss: 0.5647
 - Accuracy: 0.9699
 
 ## Model description
@@ -52,13 +50,13 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
 | 0.9886        | 1.0   | 17   | 0.7760          | 0.9248   |
-| 0.7227        | 2.0   | 34   | 0.6195          | 0.9549   |
-| 0.6037        | 3.0   | 51   | 0.5644          | 0.9699   |
+| 0.7229        | 2.0   | 34   | 0.6196          | 0.9549   |
+| 0.6042        | 3.0   | 51   | 0.5647          | 0.9699   |
 
 
 ### Framework versions
 
-- Transformers 4.42.0.dev0
-- Pytorch 2.3.0+cu121
+- Transformers 4.43.0.dev0
+- Pytorch 2.3.1+cu121
 - Datasets 2.20.0
 - Tokenizers 0.19.1