transformers pytorch videomae video-classification generated_from_trainer base_model:kyle0518/videomae-base-fatigue-detection license:cc-by-nc-4.0 endpoints_compatible region:us
---
license: cc-by-nc-4.0
base_model: kyle0518/videomae-base-fatigue-detection
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-fatigue-detection
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# videomae-base-fatigue-detection

This model is a fine-tuned version of [kyle0518/videomae-base-fatigue-detection](https://huggingface.co/kyle0518/videomae-base-fatigue-detection) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.5444
- Accuracy: 0.5374

## 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: 1e-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: 276.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0           | 0.72  | 200  | 3.5444          | 0.5374   |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.13.3
