---
license: cc-by-nc-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-ucf101-subset-SBDtoy
  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-ucf101-subset-SBDtoy

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: 0.4955
- 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: 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.1   | 2    | 0.6590          | 0.5      |
| No log        | 1.1   | 4    | 0.5487          | 0.5      |
| No log        | 2.1   | 6    | 0.4955          | 1.0      |
| No log        | 3.1   | 8    | 0.5463          | 0.5      |
| 0.4651        | 4.1   | 10   | 0.5728          | 0.5      |
| 0.4651        | 5.1   | 12   | 0.5635          | 0.5      |
| 0.4651        | 6.1   | 14   | 0.6040          | 0.5      |
| 0.4651        | 7.1   | 16   | 0.6417          | 0.5      |
| 0.4651        | 8.1   | 18   | 0.6531          | 0.5      |
| 0.122         | 9.1   | 20   | 0.6686          | 0.5      |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.0+cu117
- Datasets 2.18.0
- Tokenizers 0.13.3