---
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-crime-abnormal
  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-crime-abnormal

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: 1.9788
- Accuracy: 0.1143

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.9552        | 1.0   | 27   | 1.9623          | 0.1286   |
| 1.9448        | 2.0   | 54   | 1.9565          | 0.1429   |
| 1.917         | 3.0   | 81   | 1.9553          | 0.1571   |
| 1.8381        | 4.0   | 108  | 1.9563          | 0.0857   |
| 1.8197        | 5.0   | 135  | 1.9658          | 0.0857   |
| 1.7694        | 6.0   | 162  | 1.9656          | 0.1286   |
| 1.6977        | 7.0   | 189  | 1.9837          | 0.1429   |
| 1.6435        | 8.0   | 216  | 2.0436          | 0.1143   |


### Framework versions

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