vivit-b-16x2-kinetics400-finetuned-caer-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: 1.8413
• Accuracy: 0.2330

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: 2
• eval_batch_size: 2
• 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: 350

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.8092	0.56	196	1.9746	0.1707
1.4353	1.44	350	1.8480	0.2439

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.0
• Datasets 2.18.0
• Tokenizers 0.15.2