---
library_name: transformers
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-large
tags:
- generated_from_trainer
model-index:
- name: videomae-large-finetuned-deepfake-subset
  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-large-finetuned-deepfake-subset

This model is a fine-tuned version of [MCG-NJU/videomae-large](https://huggingface.co/MCG-NJU/videomae-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3932

## 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: 8
- eval_batch_size: 8
- 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: 4470

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6361        | 0.1   | 447  | 0.6478          |
| 0.6774        | 1.1   | 894  | 0.6047          |
| 0.4168        | 2.1   | 1341 | 0.4852          |
| 0.4427        | 3.1   | 1788 | 0.8547          |
| 0.4496        | 4.1   | 2235 | 0.3795          |
| 0.3433        | 5.1   | 2682 | 0.4119          |
| 0.2287        | 6.1   | 3129 | 0.4823          |
| 0.1297        | 7.1   | 3576 | 0.4295          |
| 0.3104        | 8.1   | 4023 | 0.4096          |
| 0.0525        | 9.1   | 4470 | 0.4154          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1