gagan3012 / swinv2-base-512

huggingface.co
Total runs: 9
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: January 25 2023
image-classification

Introduction of swinv2-base-512

Model Details of swinv2-base-512

swinv2-base-512

This model was trained from scratch on the /lustre07/scratch/gagan30/arocr/Shamila dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0139
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: 2
  • eval_batch_size: 2
  • seed: 1337
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • total_eval_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1.0
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss
0.9887 1.0 139819 1.0138
Framework versions
  • Transformers 4.26.0.dev0
  • Pytorch 1.13.1
  • Datasets 2.7.1
  • Tokenizers 0.11.6

Runs of gagan3012 swinv2-base-512 on huggingface.co

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More Information About swinv2-base-512 huggingface.co Model

swinv2-base-512 huggingface.co

swinv2-base-512 huggingface.co is an AI model on huggingface.co that provides swinv2-base-512's model effect (), which can be used instantly with this gagan3012 swinv2-base-512 model. huggingface.co supports a free trial of the swinv2-base-512 model, and also provides paid use of the swinv2-base-512. Support call swinv2-base-512 model through api, including Node.js, Python, http.

swinv2-base-512 huggingface.co Url

https://huggingface.co/gagan3012/swinv2-base-512

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gagan3012 swinv2-base-512 online free url in huggingface.co:

https://huggingface.co/gagan3012/swinv2-base-512

swinv2-base-512 install

swinv2-base-512 is an open source model from GitHub that offers a free installation service, and any user can find swinv2-base-512 on GitHub to install. At the same time, huggingface.co provides the effect of swinv2-base-512 install, users can directly use swinv2-base-512 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

swinv2-base-512 install url in huggingface.co:

https://huggingface.co/gagan3012/swinv2-base-512

Url of swinv2-base-512

swinv2-base-512 huggingface.co Url

Provider of swinv2-base-512 huggingface.co

gagan3012
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