|
|
---
|
|
|
license: mit
|
|
|
base_model: google/vivit-b-16x2-kinetics400
|
|
|
tags:
|
|
|
- generated_from_trainer
|
|
|
metrics:
|
|
|
- accuracy
|
|
|
model-index:
|
|
|
- name: ViViT-b-16x2-ShopLifting-Dataset
|
|
|
results: []
|
|
|
---
|
|
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
should probably proofread and complete it, then remove this comment. -->
|
|
|
|
|
|
# ViViT-b-16x2-ShopLifting-Dataset
|
|
|
|
|
|
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: 0.0027
|
|
|
- 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
|
|
|
|
