vivit-b-16x2-kinetics400-ft-6906

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: 0.8594
• Accuracy: 0.6102

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: 880

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0172	0.2511	221	0.9912	0.5317
1.0646	1.2511	442	0.9282	0.5732
0.7174	2.2511	663	0.8824	0.6041
0.8446	3.2466	880	0.8700	0.6120

Framework versions

• Transformers 4.41.2
• Pytorch 1.13.0+cu117
• Datasets 2.20.0
• Tokenizers 0.19.1