transformers tensorboard safetensors vivit video-classification generated_from_trainer base_model:google/vivit-b-16x2-kinetics400 license:mit endpoints_compatible region:us
---
license: mit
base_model: google/vivit-b-16x2-kinetics400
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vivit-b-16x2-kinetics400-finetuned-kinectic
  results: []
---

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# vivit-b-16x2-kinetics400-finetuned-kinectic

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:
- Loss: 0.9264
- Accuracy: 0.7342

## 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: 1
- eval_batch_size: 1
- 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: 300

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.0732        | 0.17  | 50   | 1.2968          | 0.4702   |
| 1.5128        | 1.17  | 100  | 1.0409          | 0.6607   |
| 0.1189        | 2.17  | 150  | 0.9205          | 0.6607   |
| 0.3398        | 3.17  | 200  | 0.7474          | 0.7440   |
| 0.0102        | 4.17  | 250  | 1.0972          | 0.6786   |
| 0.0035        | 5.17  | 300  | 0.9135          | 0.7143   |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
