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: 3.9756
-- Accuracy: 0.3004
+- Loss: 3.9603
+- Accuracy: 0.3089
 
 ## Model description
 
@@ -52,14 +52,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 4.5745        | 0.9996 | 662  | 4.5617          | 0.2469   |
-| 4.0811        | 1.9992 | 1324 | 4.1151          | 0.2900   |
-| 3.9045        | 2.9989 | 1986 | 3.9756          | 0.3004   |
+| 4.57          | 0.9996 | 662  | 4.5644          | 0.2471   |
+| 4.0777        | 1.9992 | 1324 | 4.1017          | 0.2979   |
+| 3.8833        | 2.9989 | 1986 | 3.9603          | 0.3089   |
 
 
 ### Framework versions
 
-- Transformers 4.43.3
-- Pytorch 2.4.0+cu121
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
 - Datasets 2.20.0
 - Tokenizers 0.19.1