🍻 cheers
Browse files- README.md +3 -2
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +2662 -0
README.md
CHANGED
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@@ -2,6 +2,7 @@
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license: apache-2.0
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base_model: google/vit-base-patch16-224-in21k
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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@@ -15,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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# finetuned-indian-food
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-
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on
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It achieves the following results on the evaluation set:
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-
- Loss: 0.
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- Accuracy: 0.9996
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## Model description
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license: apache-2.0
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base_model: google/vit-base-patch16-224-in21k
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tags:
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+
- image-classification
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- generated_from_trainer
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metrics:
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- accuracy
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# finetuned-indian-food
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+
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.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.0026
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- Accuracy: 0.9996
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## Model description
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all_results.json
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{
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"epoch": 4.0,
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"eval_accuracy": 0.9996296296296296,
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"eval_loss": 0.002558160340413451,
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"eval_runtime": 16.1541,
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"eval_samples_per_second": 167.14,
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"eval_steps_per_second": 20.923,
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"total_flos": 4.742807303717683e+18,
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"train_loss": 0.13919885493931725,
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"train_runtime": 1939.8119,
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"train_samples_per_second": 31.549,
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"train_steps_per_second": 1.973
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}
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eval_results.json
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{
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"epoch": 4.0,
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"eval_accuracy": 0.9996296296296296,
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"eval_loss": 0.002558160340413451,
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"eval_runtime": 16.1541,
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"eval_samples_per_second": 167.14,
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"eval_steps_per_second": 20.923
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}
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train_results.json
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{
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"epoch": 4.0,
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"total_flos": 4.742807303717683e+18,
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"train_loss": 0.13919885493931725,
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"train_runtime": 1939.8119,
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"train_samples_per_second": 31.549,
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"train_steps_per_second": 1.973
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}
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trainer_state.json
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