---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-dd
  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-dd

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: 0.4577
- Accuracy: 0.8909

## 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: 2
- eval_batch_size: 2
- 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: 1352

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.5777        | 0.2485 | 336  | 0.8214          | 0.8373   |
| 1.144         | 1.2493 | 673  | 0.4453          | 0.8754   |
| 0.2783        | 2.2493 | 1010 | 0.8930          | 0.8171   |
| 0.0037        | 3.2470 | 1344 | 0.4077          | 0.8979   |
| 0.2113        | 4.0059 | 1352 | 0.4079          | 0.8979   |


### Framework versions

- Transformers 4.40.2
- Pytorch 1.12.0+cu113
- Datasets 2.19.1
- Tokenizers 0.19.1