yehiawp4/vivit-b-16x2-collected-dataset

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vivit-b-16x2-collected-dataset

This model is a fine-tuned version of google/vivit-b-16x2-kinetics400 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2578
• —Accuracy: 0.9610

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
• —trainbatchsize: 2
• —evalbatchsize: 2
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —training_steps: 14020

Training results

Framework versions

• —Transformers 4.39.0
• —Pytorch 2.1.0
• —Datasets 2.18.0
• —Tokenizers 0.15.2