date3k2 / vit-real-fake-classification-v1

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Total runs: 35
24-hour runs: 0
7-day runs: -19
30-day runs: -3
Model's Last Updated: May 21 2024
image-classification

Introduction of vit-real-fake-classification-v1

Model Details of vit-real-fake-classification-v1

vit-real-fake-classification

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

  • eval_loss: 0.1798
  • eval_accuracy: 0.9275
  • eval_f1: 0.9362
  • eval_recall: 0.9649
  • eval_precision: 0.9092
  • eval_runtime: 110.2958
  • eval_samples_per_second: 16.882
  • eval_steps_per_second: 0.136
  • epoch: 1.9492
  • step: 28
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: 5e-05
  • train_batch_size: 128
  • eval_batch_size: 128
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 512
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 5
Framework versions
  • Transformers 4.40.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1

Runs of date3k2 vit-real-fake-classification-v1 on huggingface.co

35
Total runs
0
24-hour runs
-12
3-day runs
-19
7-day runs
-3
30-day runs

More Information About vit-real-fake-classification-v1 huggingface.co Model

More vit-real-fake-classification-v1 license Visit here:

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

vit-real-fake-classification-v1 huggingface.co

vit-real-fake-classification-v1 huggingface.co is an AI model on huggingface.co that provides vit-real-fake-classification-v1's model effect (), which can be used instantly with this date3k2 vit-real-fake-classification-v1 model. huggingface.co supports a free trial of the vit-real-fake-classification-v1 model, and also provides paid use of the vit-real-fake-classification-v1. Support call vit-real-fake-classification-v1 model through api, including Node.js, Python, http.

vit-real-fake-classification-v1 huggingface.co Url

https://huggingface.co/date3k2/vit-real-fake-classification-v1

date3k2 vit-real-fake-classification-v1 online free

vit-real-fake-classification-v1 huggingface.co is an online trial and call api platform, which integrates vit-real-fake-classification-v1's modeling effects, including api services, and provides a free online trial of vit-real-fake-classification-v1, you can try vit-real-fake-classification-v1 online for free by clicking the link below.

date3k2 vit-real-fake-classification-v1 online free url in huggingface.co:

https://huggingface.co/date3k2/vit-real-fake-classification-v1

vit-real-fake-classification-v1 install

vit-real-fake-classification-v1 is an open source model from GitHub that offers a free installation service, and any user can find vit-real-fake-classification-v1 on GitHub to install. At the same time, huggingface.co provides the effect of vit-real-fake-classification-v1 install, users can directly use vit-real-fake-classification-v1 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

vit-real-fake-classification-v1 install url in huggingface.co:

https://huggingface.co/date3k2/vit-real-fake-classification-v1

Url of vit-real-fake-classification-v1

vit-real-fake-classification-v1 huggingface.co Url

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