vivit-b-16x2-kinetics400-finetuned-ucf101-subset

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: 0.0122
• Accuracy: 1.0

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: 375

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0065	0.8	300	0.0056	1.0
0.0144	1.2	375	0.0057	1.0

Framework versions

• Transformers 4.42.4
• Pytorch 1.13.1+cu117
• Datasets 2.20.0
• Tokenizers 0.19.1