metadata

license: mit
base_model: google/vivit-b-16x2-kinetics400
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: ViViT-b-16x2-ShopLifting-Dataset
    results: []

ViViT-b-16x2-ShopLifting-Dataset

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: 0.0027
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: 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: 596

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0004	0.5	299	0.2661	0.9528
0.0001	1.5	596	0.0002	1.0

Framework versions

Transformers 4.39.0
Pytorch 2.1.0
Datasets 2.18.0
Tokenizers 0.15.2