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: 991262442243755631422586792733310976.0000
• Accuracy: 0.5455

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: 1
• eval_batch_size: 1
• 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: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
872310942836251954510729370121797632.0000	0.5	10	991262442243755631422586792733310976.0000	0.5455
872310942836251954510729370121797632.0000	1.5	20	991262442243755631422586792733310976.0000	0.5455

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.2+cpu
• Datasets 2.16.0
• Tokenizers 0.15.0