---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-OKN-Test
  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. -->

# videomae-base-OKN-Test

This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0017
- 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: 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: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3464        | 0.21  | 21   | 0.3448          | 0.7273   |
| 0.0038        | 1.21  | 42   | 0.0015          | 1.0      |
| 0.0006        | 2.21  | 63   | 0.0005          | 1.0      |
| 0.0003        | 3.21  | 84   | 0.0004          | 1.0      |
| 0.0003        | 4.16  | 100  | 0.0004          | 1.0      |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3

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![image/png](https://cdn-uploads.huggingface.co/production/uploads/64ed5678b1ff0bd44f6bd354/FjjWTQYJ7SvY6tLE7lJzR.png)


![image/png](https://cdn-uploads.huggingface.co/production/uploads/64ed5678b1ff0bd44f6bd354/UF8x_8Xj3oDPtrO0XmITT.png)