pavitemple/finetuned-Accident-MultipleLabels-Others

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finetuned-Accident-MultipleLabels-Others

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

• —Loss: 1.8870
• —Accuracy: 0.2

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: 4
• —evalbatchsize: 4
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —training_steps: 20

Training results

Framework versions

• —Transformers 4.35.2
• —Pytorch 2.2.0.dev20231202+cu121
• —Datasets 2.15.0
• —Tokenizers 0.15.0