metadata

license: mit
base_model: google/vivit-b-16x2-kinetics400
tags:
  - generated_from_trainer
model-index:
  - name: vvt-gs-rot-flip-wtoken-f198-4.4-h768-t8.16.16
    results: []

vvt-gs-rot-flip-wtoken-f198-4.4-h768-t8.16.16

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:

eval_loss: 0.7628
eval_accuracy: 0.6720
eval_runtime: 237.6048
eval_samples_per_second: 0.795
eval_steps_per_second: 0.202
epoch: 1.0002
step: 5501

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: 5500

Framework versions

Transformers 4.41.2
Pytorch 1.13.0+cu117
Datasets 2.20.0
Tokenizers 0.19.1