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minang_food_classification

Image Classification
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  1. README.md +24 -26
  2. model.safetensors +1 -1
  3. runs/May16_06-23-34_ace45c84f0d7/events.out.tfevents.1715841465.ace45c84f0d7.1140.8 +3 -0
README.md CHANGED
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  ---
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- license: apache-2.0
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- base_model: google/vit-base-patch16-224
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  tags:
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  - generated_from_trainer
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  datasets:
@@ -22,7 +20,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.7388888888888889
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +28,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # minang_food_classification
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- This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4322
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- - Accuracy: 0.7389
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 2.1765 | 1.0 | 45 | 2.1135 | 0.1944 |
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- | 2.0794 | 2.0 | 90 | 2.0191 | 0.3056 |
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- | 2.014 | 3.0 | 135 | 2.0172 | 0.2722 |
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- | 1.9374 | 4.0 | 180 | 1.8951 | 0.3722 |
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- | 1.8757 | 5.0 | 225 | 1.7853 | 0.5 |
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- | 1.7953 | 6.0 | 270 | 1.7469 | 0.4944 |
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- | 1.7265 | 7.0 | 315 | 1.6992 | 0.5722 |
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- | 1.6665 | 8.0 | 360 | 1.6337 | 0.6 |
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- | 1.6208 | 9.0 | 405 | 1.5924 | 0.6611 |
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- | 1.557 | 10.0 | 450 | 1.5561 | 0.6667 |
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- | 1.5172 | 11.0 | 495 | 1.4839 | 0.7167 |
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- | 1.4805 | 12.0 | 540 | 1.4971 | 0.7278 |
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- | 1.4655 | 13.0 | 585 | 1.4299 | 0.75 |
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- | 1.4332 | 14.0 | 630 | 1.4313 | 0.7111 |
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- | 1.4312 | 15.0 | 675 | 1.4258 | 0.7278 |
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- | 1.3964 | 16.0 | 720 | 1.4136 | 0.7333 |
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- | 1.3765 | 17.0 | 765 | 1.3875 | 0.8056 |
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- | 1.3719 | 18.0 | 810 | 1.4031 | 0.7389 |
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- | 1.3857 | 19.0 | 855 | 1.4242 | 0.7389 |
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- | 1.3845 | 20.0 | 900 | 1.4025 | 0.75 |
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  ### Framework versions
 
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  ---
 
 
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  tags:
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  - generated_from_trainer
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  datasets:
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9277777777777778
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # minang_food_classification
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+ This model was trained from scratch on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7860
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+ - Accuracy: 0.9278
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.3423 | 1.0 | 45 | 1.3263 | 0.7889 |
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+ | 1.2638 | 2.0 | 90 | 1.2436 | 0.8278 |
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+ | 1.2055 | 3.0 | 135 | 1.2503 | 0.8 |
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+ | 1.14 | 4.0 | 180 | 1.1486 | 0.85 |
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+ | 1.0908 | 5.0 | 225 | 1.0427 | 0.8778 |
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+ | 1.0258 | 6.0 | 270 | 1.0210 | 0.8333 |
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+ | 0.9776 | 7.0 | 315 | 0.9694 | 0.8722 |
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+ | 0.9306 | 8.0 | 360 | 0.9379 | 0.8833 |
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+ | 0.8985 | 9.0 | 405 | 0.9150 | 0.8778 |
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+ | 0.8624 | 10.0 | 450 | 0.8884 | 0.8611 |
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+ | 0.8243 | 11.0 | 495 | 0.8118 | 0.9222 |
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+ | 0.8017 | 12.0 | 540 | 0.8394 | 0.8833 |
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+ | 0.797 | 13.0 | 585 | 0.7761 | 0.9056 |
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+ | 0.7765 | 14.0 | 630 | 0.7891 | 0.9111 |
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+ | 0.7834 | 15.0 | 675 | 0.7945 | 0.8889 |
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+ | 0.7483 | 16.0 | 720 | 0.7801 | 0.9 |
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+ | 0.74 | 17.0 | 765 | 0.7524 | 0.9167 |
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+ | 0.7315 | 18.0 | 810 | 0.7655 | 0.9111 |
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+ | 0.7468 | 19.0 | 855 | 0.7860 | 0.8833 |
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+ | 0.7393 | 20.0 | 900 | 0.7900 | 0.9056 |
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  ### Framework versions
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