---
license: cc-by-nc-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-SSBD
  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-finetuned-SSBD

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: 0.9692
- Accuracy: 0.5714

## 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: 12
- eval_batch_size: 12
- 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: 150

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1628        | 0.14  | 21   | 1.0386          | 0.4      |
| 1.1777        | 1.14  | 42   | 1.0652          | 0.4      |
| 1.0752        | 2.14  | 63   | 1.4299          | 0.12     |
| 0.6149        | 3.14  | 84   | 1.1845          | 0.32     |
| 0.4486        | 4.14  | 105  | 1.6551          | 0.16     |
| 0.2998        | 5.14  | 126  | 1.6550          | 0.16     |
| 0.138         | 6.14  | 147  | 2.1708          | 0.2      |
| 0.097         | 7.02  | 150  | 2.1794          | 0.2      |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3