🍻 cheers
Browse files- README.md +6 -5
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Mar24_20-47-53_b7cac2bb04d7/events.out.tfevents.1711323922.b7cac2bb04d7.525.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +0 -0
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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datasets:
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- renovation
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name: Image Classification
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type: image-classification
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dataset:
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name:
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type: renovation
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config: default
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split: validation
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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# renovation
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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
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It achieves the following results on the evaluation set:
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- Loss:
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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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datasets:
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- renovation
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name: Image Classification
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type: image-classification
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dataset:
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name: beans
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type: renovation
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config: default
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split: validation
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.7219562243502052
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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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# renovation
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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 beans dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6830
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- Accuracy: 0.7220
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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": 0.7219562243502052,
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"eval_loss": 0.6829969882965088,
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"eval_runtime": 97.786,
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"eval_samples_per_second": 29.902,
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"eval_steps_per_second": 3.743,
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"total_flos": 7.243900911073935e+18,
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"train_loss": 0.43194858603623126,
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"train_runtime": 10540.446,
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"train_samples_per_second": 8.868,
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"train_steps_per_second": 0.554
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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": 0.7219562243502052,
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"eval_loss": 0.6829969882965088,
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"eval_runtime": 97.786,
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"eval_samples_per_second": 29.902,
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"eval_steps_per_second": 3.743
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}
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runs/Mar24_20-47-53_b7cac2bb04d7/events.out.tfevents.1711323922.b7cac2bb04d7.525.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:f1a351b2b7f0fdf2c1583efd83b0f5f4a9f706f32a19c4c609b7446071109a6a
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size 411
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train_results.json
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{
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"epoch": 4.0,
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"total_flos": 7.243900911073935e+18,
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"train_loss": 0.43194858603623126,
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"train_runtime": 10540.446,
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"train_samples_per_second": 8.868,
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"train_steps_per_second": 0.554
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}
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trainer_state.json
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