Vishnu-add
commited on
Commit
·
333cd73
1
Parent(s):
a0b363c
🍻 cheers
Browse files- README.md +2 -1
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Dec05_16-19-19_22fa0422bd56/events.out.tfevents.1701794206.22fa0422bd56.11071.2 +3 -0
- train_results.json +8 -0
- trainer_state.json +478 -0
README.md
CHANGED
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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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@@ -15,7 +16,7 @@ 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: 0.2249
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- Accuracy: 0.9416
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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: 0.2249
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- Accuracy: 0.9416
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all_results.json
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{
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"epoch": 4.0,
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"eval_accuracy": 0.9415515409139213,
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"eval_loss": 0.22492648661136627,
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"eval_runtime": 33.7365,
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"eval_samples_per_second": 27.893,
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"eval_steps_per_second": 3.498,
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"total_flos": 1.651775717862015e+18,
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"train_samples_per_second": 22.446,
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"train_steps_per_second": 0.704
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}
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eval_results.json
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"epoch": 4.0,
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"eval_accuracy": 0.9415515409139213,
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"eval_loss": 0.22492648661136627,
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"eval_runtime": 33.7365,
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"eval_samples_per_second": 27.893,
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"eval_steps_per_second": 3.498
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}
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runs/Dec05_16-19-19_22fa0422bd56/events.out.tfevents.1701794206.22fa0422bd56.11071.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:cdb85ca25f88b46a4c06f8c8a88e3ab24e4364135e8cb4fbfb6c594cab9904a5
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size 411
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train_results.json
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trainer_state.json
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