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

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: 0.5752
- Accuracy: 0.8349

## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4885        | 1.0   | 42   | 0.5207          | 0.7182   |
| 0.4276        | 2.0   | 84   | 0.4124          | 0.8182   |
| 0.2752        | 3.0   | 126  | 0.4102          | 0.8091   |
| 0.2854        | 4.0   | 168  | 0.3868          | 0.8364   |
| 0.3007        | 5.0   | 210  | 0.6700          | 0.8455   |
| 0.2043        | 6.0   | 252  | 0.6153          | 0.8      |
| 0.0636        | 7.0   | 294  | 0.8258          | 0.8273   |
| 0.1859        | 8.0   | 336  | 0.7135          | 0.8182   |


### Framework versions

- Transformers 4.47.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3