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---

base_model: MCG-NJU/videomae-base-finetuned-kinetics
tags:
- generated_from_trainer
model-index:
- name: deepfake_model_Video-MAEX
  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. -->

# deepfake_model_Video-MAEX

This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset.

## 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: 0.0005

- 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: cosine

- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1



### Training results



| Training Loss | Epoch | Step | Validation Loss | Accuracy |

|:-------------:|:-----:|:----:|:---------------:|:--------:|

| No log        | 1.0   | 2    | 0.0146          | 1.0      |





### Framework versions



- Transformers 4.35.0

- Pytorch 2.1.0+cu118

- Datasets 4.0.0

- Tokenizers 0.14.1