Model save

README.md

@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit_models
 
-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 None 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: 0.0475
-- Accuracy: 0.9925
+- Loss: 0.0299
+- Accuracy: 0.9774
 
 ## Model description
 
@@ -49,12 +49,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.1317        | 3.8462 | 500  | 0.0475          | 0.9925   |
+| 0.1297        | 3.8462 | 500  | 0.0299          | 0.9774   |
 
 
 ### Framework versions
 
 - Transformers 4.43.3
 - Pytorch 2.3.1
-- Datasets 2.12.0
+- Datasets 2.20.0
 - Tokenizers 0.19.1