Model save

README.md

@@ -3,7 +3,6 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -17,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # finetuned-bangladeshi-traditional-food
 
-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: 0.3867
-- Accuracy: 0.9190
+- Loss: 0.3410
+- Accuracy: 0.9218
 
 ## Model description
 
@@ -50,10 +49,12 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
-|:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.703         | 1.5625 | 100  | 0.6128          | 0.9022   |
-| 0.252         | 3.125  | 200  | 0.3867          | 0.9190   |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.0623        | 1.0   | 64   | 0.8796          | 0.8575   |
+| 0.5222        | 2.0   | 128  | 0.5890          | 0.8743   |
+| 0.3346        | 3.0   | 192  | 0.4126          | 0.9078   |
+| 0.2814        | 4.0   | 256  | 0.3410          | 0.9218   |
 
 
 ### Framework versions

model.safetensors

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runs/Dec09_08-56-04_5a1a3bda5bad/events.out.tfevents.1733734662.5a1a3bda5bad.23.0

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training_args.bin

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