---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 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](https://huggingface.co/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