videomae-base-finetuned-kinetics-finetuned-custom-subset

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videomae-base-finetuned-kinetics-finetuned-custom-subset

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: 0.9783
• Accuracy: 0.7564

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• training_steps: 710

Training results

Framework versions

• Transformers 4.42.0.dev0
• Pytorch 2.1.1
• Datasets 2.13.2
• Tokenizers 0.19.1