Hemg / Wound-Image-classification

huggingface.co
Total runs: 240
24-hour runs: 0
7-day runs: -14
30-day runs: 162
Model's Last Updated: March 12 2024
image-classification

Introduction of Wound-Image-classification

Model Details of Wound-Image-classification

Wound-Image-classification

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1209
  • Accuracy: 0.965
Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure
Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0002
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.01
  • num_epochs: 16
Training results
Training Loss Epoch Step Validation Loss Accuracy
1.0919 1.0 200 0.7780 0.76
0.6157 2.0 400 0.5695 0.7925
0.4894 3.0 600 0.3667 0.8775
0.3786 4.0 800 0.4436 0.8625
0.3142 5.0 1000 0.4412 0.8625
0.2636 6.0 1200 0.4430 0.86
0.198 7.0 1400 0.2760 0.9175
0.1456 8.0 1600 0.2211 0.93
0.1586 9.0 1800 0.3520 0.905
0.1307 10.0 2000 0.3188 0.9175
0.106 11.0 2200 0.3167 0.925
0.0975 12.0 2400 0.2633 0.92
0.0734 13.0 2600 0.1813 0.9525
0.0994 14.0 2800 0.2150 0.945
0.0622 15.0 3000 0.1757 0.955
0.0609 16.0 3200 0.1209 0.965
Framework versions
  • Transformers 4.38.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2

Runs of Hemg Wound-Image-classification on huggingface.co

240
Total runs
0
24-hour runs
-6
3-day runs
-14
7-day runs
162
30-day runs

More Information About Wound-Image-classification huggingface.co Model

More Wound-Image-classification license Visit here:

https://choosealicense.com/licenses/apache-2.0

Wound-Image-classification huggingface.co

Wound-Image-classification huggingface.co is an AI model on huggingface.co that provides Wound-Image-classification's model effect (), which can be used instantly with this Hemg Wound-Image-classification model. huggingface.co supports a free trial of the Wound-Image-classification model, and also provides paid use of the Wound-Image-classification. Support call Wound-Image-classification model through api, including Node.js, Python, http.

Wound-Image-classification huggingface.co Url

https://huggingface.co/Hemg/Wound-Image-classification

Hemg Wound-Image-classification online free

Wound-Image-classification huggingface.co is an online trial and call api platform, which integrates Wound-Image-classification's modeling effects, including api services, and provides a free online trial of Wound-Image-classification, you can try Wound-Image-classification online for free by clicking the link below.

Hemg Wound-Image-classification online free url in huggingface.co:

https://huggingface.co/Hemg/Wound-Image-classification

Wound-Image-classification install

Wound-Image-classification is an open source model from GitHub that offers a free installation service, and any user can find Wound-Image-classification on GitHub to install. At the same time, huggingface.co provides the effect of Wound-Image-classification install, users can directly use Wound-Image-classification installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Wound-Image-classification install url in huggingface.co:

https://huggingface.co/Hemg/Wound-Image-classification

Url of Wound-Image-classification

Wound-Image-classification huggingface.co Url

Provider of Wound-Image-classification huggingface.co

Hemg
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