---
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_crime2
  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_crime2

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: 2.1449
- Accuracy: 0.2689

## 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
- distributed_type: tpu
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 504

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.3843        | 0.17  | 85   | 2.5040          | 0.1662   |
| 2.2227        | 1.17  | 170  | 2.3376          | 0.1935   |
| 2.1317        | 2.17  | 255  | 2.2547          | 0.2329   |
| 2.0338        | 3.17  | 340  | 2.1470          | 0.2485   |
| 1.9639        | 4.17  | 425  | 2.0700          | 0.2558   |
| 1.8565        | 5.16  | 504  | 2.0882          | 0.2625   |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.0+cu117
- Datasets 2.14.5
- Tokenizers 0.14.1