Model save

README.md

@@ -2,7 +2,6 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -16,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # food-recognition
 
-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 indian_food_images 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: 3.4839
-- Accuracy: 1.0
+- Loss: 4.6230
+- Accuracy: 0.4518
 
 ## Model description
 
@@ -48,6 +47,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1598        | 1.45  | 100  | 4.0433          | 0.4436   |
+| 0.038         | 2.9   | 200  | 4.6230          | 0.4518   |
 
 
 ### Framework versions

model.safetensors

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runs/Dec04_13-31-59_LAPTOP-PH299HA6/events.out.tfevents.1701671528.LAPTOP-PH299HA6.21992.3

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training_args.bin

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