Model save

README.md

@@ -18,7 +18,7 @@ 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: 0.0185
+- Loss: 0.0248
 - Accuracy: 0.9925
 
 ## Model description
@@ -50,12 +50,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.0023        | 3.8462 | 500  | 0.0185          | 0.9925   |
+| 0.1387        | 3.8462 | 500  | 0.0248          | 0.9925   |
 
 
 ### Framework versions
 
-- Transformers 4.47.1
-- Pytorch 2.5.1+cu121
-- Datasets 3.2.0
-- Tokenizers 0.21.0
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.1

runs/May08_21-42-46_2d9cd119d5a2/events.out.tfevents.1746740839.2d9cd119d5a2.395.0

@@ -1,3 +1,3 @@
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+size 5973