🍻 cheers
Browse files- README.md +4 -3
- all_results.json +11 -11
- eval_results.json +6 -6
- runs/Oct02_17-11-29_593ca4d065ee/events.out.tfevents.1727890083.593ca4d065ee.197.1 +3 -0
- train_results.json +6 -6
README.md
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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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# finetuned-fake-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.
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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-fake-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: 0.4855
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- Accuracy: 0.8548
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## Model description
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all_results.json
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{
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"epoch":
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"eval_accuracy": 0.
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"eval_loss": 0.
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"eval_runtime":
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"eval_samples_per_second":
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"eval_steps_per_second":
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"total_flos":
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"train_loss": 0.
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"train_runtime":
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"train_samples_per_second":
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"train_steps_per_second": 2.
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}
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{
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"epoch": 15.0,
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"eval_accuracy": 0.8548387096774194,
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"eval_loss": 0.48552611470222473,
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"eval_runtime": 4.5987,
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"eval_samples_per_second": 26.964,
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"eval_steps_per_second": 3.479,
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"total_flos": 8.159906506416538e+17,
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"train_loss": 0.4054281697128758,
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"train_runtime": 963.2295,
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"train_samples_per_second": 10.932,
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"train_steps_per_second": 2.741
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}
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eval_results.json
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{
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"epoch":
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"eval_accuracy": 0.
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"eval_loss": 0.
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"eval_runtime":
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"eval_samples_per_second":
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"eval_steps_per_second":
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}
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{
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"epoch": 15.0,
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"eval_accuracy": 0.8548387096774194,
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"eval_loss": 0.48552611470222473,
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"eval_runtime": 4.5987,
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"eval_samples_per_second": 26.964,
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"eval_steps_per_second": 3.479
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}
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runs/Oct02_17-11-29_593ca4d065ee/events.out.tfevents.1727890083.593ca4d065ee.197.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:83908525505808f68d0ab62cba086ca3c91c7d928f8f7c3934056bb6aa433eab
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size 411
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train_results.json
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{
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"epoch":
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"total_flos":
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"train_loss": 0.
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"train_runtime":
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"train_samples_per_second":
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"train_steps_per_second": 2.
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}
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{
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"epoch": 15.0,
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"total_flos": 8.159906506416538e+17,
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"train_loss": 0.4054281697128758,
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"train_runtime": 963.2295,
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"train_samples_per_second": 10.932,
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"train_steps_per_second": 2.741
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}
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