gagan3012 / ViTGPT2_vizwiz

huggingface.co
Total runs: 19
24-hour runs: 0
7-day runs: -2
30-day runs: -136
Model's Last Updated: February 07 2022
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Introduction of ViTGPT2_vizwiz

Model Details of ViTGPT2_vizwiz

ViTGPT2_vizwiz

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0719
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: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss
0.1207 0.07 1000 0.0906
0.0916 0.14 2000 0.0861
0.0879 0.2 3000 0.0840
0.0856 0.27 4000 0.0822
0.0834 0.34 5000 0.0806
0.0817 0.41 6000 0.0795
0.0812 0.48 7000 0.0785
0.0808 0.55 8000 0.0779
0.0796 0.61 9000 0.0771
0.0786 0.68 10000 0.0767
0.0774 0.75 11000 0.0762
0.0772 0.82 12000 0.0758
0.0756 0.89 13000 0.0754
0.0759 0.96 14000 0.0750
0.0756 1.02 15000 0.0748
0.0726 1.09 16000 0.0745
0.0727 1.16 17000 0.0745
0.0715 1.23 18000 0.0742
0.0726 1.3 19000 0.0741
0.072 1.37 20000 0.0738
0.0723 1.43 21000 0.0735
0.0715 1.5 22000 0.0734
0.0724 1.57 23000 0.0732
0.0723 1.64 24000 0.0730
0.0718 1.71 25000 0.0729
0.07 1.78 26000 0.0728
0.0702 1.84 27000 0.0726
0.0704 1.91 28000 0.0725
0.0703 1.98 29000 0.0725
0.0686 2.05 30000 0.0726
0.0687 2.12 31000 0.0726
0.0688 2.19 32000 0.0724
0.0677 2.25 33000 0.0724
0.0665 2.32 34000 0.0725
0.0684 2.39 35000 0.0723
0.0678 2.46 36000 0.0722
0.0686 2.53 37000 0.0722
0.067 2.59 38000 0.0721
0.0669 2.66 39000 0.0721
0.0673 2.73 40000 0.0721
0.0673 2.8 41000 0.0720
0.0662 2.87 42000 0.0720
0.0681 2.94 43000 0.0719
Framework versions
  • Transformers 4.17.0.dev0
  • Pytorch 1.10.2+cu102
  • Datasets 1.18.2.dev0
  • Tokenizers 0.11.0

Runs of gagan3012 ViTGPT2_vizwiz on huggingface.co

19
Total runs
0
24-hour runs
-2
3-day runs
-2
7-day runs
-136
30-day runs

More Information About ViTGPT2_vizwiz huggingface.co Model

ViTGPT2_vizwiz huggingface.co

ViTGPT2_vizwiz huggingface.co is an AI model on huggingface.co that provides ViTGPT2_vizwiz's model effect (), which can be used instantly with this gagan3012 ViTGPT2_vizwiz model. huggingface.co supports a free trial of the ViTGPT2_vizwiz model, and also provides paid use of the ViTGPT2_vizwiz. Support call ViTGPT2_vizwiz model through api, including Node.js, Python, http.

ViTGPT2_vizwiz huggingface.co Url

https://huggingface.co/gagan3012/ViTGPT2_vizwiz

gagan3012 ViTGPT2_vizwiz online free

ViTGPT2_vizwiz huggingface.co is an online trial and call api platform, which integrates ViTGPT2_vizwiz's modeling effects, including api services, and provides a free online trial of ViTGPT2_vizwiz, you can try ViTGPT2_vizwiz online for free by clicking the link below.

gagan3012 ViTGPT2_vizwiz online free url in huggingface.co:

https://huggingface.co/gagan3012/ViTGPT2_vizwiz

ViTGPT2_vizwiz install

ViTGPT2_vizwiz is an open source model from GitHub that offers a free installation service, and any user can find ViTGPT2_vizwiz on GitHub to install. At the same time, huggingface.co provides the effect of ViTGPT2_vizwiz install, users can directly use ViTGPT2_vizwiz installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

ViTGPT2_vizwiz install url in huggingface.co:

https://huggingface.co/gagan3012/ViTGPT2_vizwiz

Url of ViTGPT2_vizwiz

ViTGPT2_vizwiz huggingface.co Url

Provider of ViTGPT2_vizwiz huggingface.co

gagan3012
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