Model save

README.md

@@ -3,8 +3,6 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
-- vision
 - generated_from_trainer
 metrics:
 - accuracy
@@ -18,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-cifar100-cifar100
 
-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 cifar100 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: 0.2955
-- Accuracy: 0.9241
+- Loss: 0.2851
+- Accuracy: 0.9252
 
 ## Model description
 
@@ -50,13 +48,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Accuracy | Validation Loss |
-|:-------------:|:-----:|:-----:|:--------:|:---------------:|
-| 1.4469        | 1.0   | 5313  | 0.8716   | 1.1871          |
-| 0.7861        | 2.0   | 10626 | 0.9056   | 0.4685          |
-| 0.732         | 3.0   | 15939 | 0.9139   | 0.3551          |
-| 0.3327        | 4.0   | 21252 | 0.9199   | 0.3090          |
-| 0.4886        | 5.0   | 26565 | 0.9241   | 0.2955          |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 1.0634        | 1.0   | 5313  | 0.7235          | 0.8777   |
+| 0.7839        | 2.0   | 10626 | 0.3731          | 0.9056   |
+| 0.5749        | 3.0   | 15939 | 0.3214          | 0.9153   |
+| 0.3432        | 4.0   | 21252 | 0.2990          | 0.9209   |
+| 0.4763        | 5.0   | 26565 | 0.2851          | 0.9252   |
 
 
 ### Framework versions