Shawon16 / videoMAE_base_wlasl_100_20ep_failureCase

huggingface.co
Total runs: 11
24-hour runs: 0
7-day runs: 1
30-day runs: 8
Model's Last Updated: December 08 2025
video-classification

Introduction of videoMAE_base_wlasl_100_20ep_failureCase

Model Details of videoMAE_base_wlasl_100_20ep_failureCase

videoMAE_base_wlasl_100_20ep_failureCase

This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3033
  • Accuracy: 0.5312
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: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • training_steps: 85
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Accuracy
9.557 0.2 17 2.2345 0.1875
8.0214 1.2059 35 1.9148 0.3125
6.1022 2.2 52 1.5669 0.5625
3.7933 3.2059 70 1.3570 0.5625
2.8819 4.1765 85 1.3033 0.5312
Framework versions
  • Transformers 4.46.1
  • Pytorch 2.5.1+cu124
  • Datasets 3.1.0
  • Tokenizers 0.20.1

Runs of Shawon16 videoMAE_base_wlasl_100_20ep_failureCase on huggingface.co

11
Total runs
0
24-hour runs
-2
3-day runs
1
7-day runs
8
30-day runs

More Information About videoMAE_base_wlasl_100_20ep_failureCase huggingface.co Model

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videoMAE_base_wlasl_100_20ep_failureCase huggingface.co

videoMAE_base_wlasl_100_20ep_failureCase huggingface.co is an AI model on huggingface.co that provides videoMAE_base_wlasl_100_20ep_failureCase's model effect (), which can be used instantly with this Shawon16 videoMAE_base_wlasl_100_20ep_failureCase model. huggingface.co supports a free trial of the videoMAE_base_wlasl_100_20ep_failureCase model, and also provides paid use of the videoMAE_base_wlasl_100_20ep_failureCase. Support call videoMAE_base_wlasl_100_20ep_failureCase model through api, including Node.js, Python, http.

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videoMAE_base_wlasl_100_20ep_failureCase install

videoMAE_base_wlasl_100_20ep_failureCase is an open source model from GitHub that offers a free installation service, and any user can find videoMAE_base_wlasl_100_20ep_failureCase on GitHub to install. At the same time, huggingface.co provides the effect of videoMAE_base_wlasl_100_20ep_failureCase install, users can directly use videoMAE_base_wlasl_100_20ep_failureCase installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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