sano90/videomae-large-finetuned-kinetics-finetuned-ucf101-subset

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videomae-large-finetuned-kinetics-finetuned-ucf101-subset

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

• —eval_loss: 0.0805
• —eval_accuracy: 0.9924
• —eval_runtime: 36.136
• —evalsamplesper_second: 28.946
• —evalstepsper_second: 0.249
• —epoch: 37.0225
• —step: 342

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: 1e-05
• —trainbatchsize: 16
• —evalbatchsize: 128
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 128
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —lrschedulerwarmup_steps: 100
• —training_steps: 400
• —mixedprecisiontraining: Native AMP

Framework versions

• —Transformers 4.57.3
• —Pytorch 2.9.0+cu126
• —Datasets 4.0.0
• —Tokenizers 0.22.2