---
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-crimev2
  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-crimev2

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: 3.2451
- Accuracy: 0.4182

## 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: 16
- eval_batch_size: 16
- 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_ratio: 0.1
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.7909        | 1.0   | 21   | 1.7588          | 0.3636   |
| 1.646         | 2.0   | 42   | 1.7454          | 0.3455   |
| 1.4793        | 3.0   | 63   | 1.8800          | 0.2727   |
| 1.4107        | 4.0   | 84   | 1.8559          | 0.3455   |
| 1.2787        | 5.0   | 105  | 1.9568          | 0.3636   |
| 1.0594        | 6.0   | 126  | 1.8249          | 0.3      |
| 0.8529        | 7.0   | 147  | 1.7899          | 0.3273   |
| 0.7591        | 8.0   | 168  | 1.8875          | 0.3      |
| 0.6159        | 9.0   | 189  | 2.2923          | 0.3091   |
| 0.3994        | 10.0  | 210  | 1.9616          | 0.3727   |
| 0.3325        | 11.0  | 231  | 2.1035          | 0.3455   |
| 0.2161        | 12.0  | 252  | 2.2052          | 0.3818   |
| 0.1492        | 13.0  | 273  | 2.4497          | 0.3273   |
| 0.1329        | 14.0  | 294  | 2.4025          | 0.3      |
| 0.097         | 15.0  | 315  | 2.8474          | 0.3091   |
| 0.0307        | 16.0  | 336  | 2.5895          | 0.3818   |
| 0.0262        | 17.0  | 357  | 2.8746          | 0.3182   |
| 0.0125        | 18.0  | 378  | 2.6371          | 0.3636   |
| 0.0186        | 19.0  | 399  | 2.9341          | 0.3727   |
| 0.0207        | 20.0  | 420  | 3.1826          | 0.3364   |
| 0.0244        | 21.0  | 441  | 2.9959          | 0.3364   |
| 0.0033        | 22.0  | 462  | 2.8171          | 0.4      |
| 0.0051        | 23.0  | 483  | 2.9913          | 0.3909   |
| 0.0025        | 24.0  | 504  | 3.0294          | 0.4      |
| 0.0022        | 25.0  | 525  | 3.0329          | 0.4      |
| 0.0031        | 26.0  | 546  | 3.0223          | 0.3818   |
| 0.002         | 27.0  | 567  | 3.0312          | 0.3909   |
| 0.002         | 28.0  | 588  | 3.0663          | 0.4091   |
| 0.0017        | 29.0  | 609  | 3.0907          | 0.4091   |
| 0.0016        | 30.0  | 630  | 3.1117          | 0.4091   |
| 0.0016        | 31.0  | 651  | 3.1219          | 0.4091   |
| 0.0015        | 32.0  | 672  | 3.1439          | 0.4091   |
| 0.0015        | 33.0  | 693  | 3.1582          | 0.4182   |
| 0.0014        | 34.0  | 714  | 3.1660          | 0.4182   |
| 0.0015        | 35.0  | 735  | 3.1735          | 0.4182   |
| 0.0014        | 36.0  | 756  | 3.1864          | 0.4182   |
| 0.0013        | 37.0  | 777  | 3.1929          | 0.4182   |
| 0.0013        | 38.0  | 798  | 3.2001          | 0.4182   |
| 0.0013        | 39.0  | 819  | 3.2073          | 0.4182   |
| 0.0013        | 40.0  | 840  | 3.2151          | 0.4182   |
| 0.0012        | 41.0  | 861  | 3.2217          | 0.4182   |
| 0.0012        | 42.0  | 882  | 3.2269          | 0.4182   |
| 0.0012        | 43.0  | 903  | 3.2316          | 0.4182   |
| 0.0012        | 44.0  | 924  | 3.2363          | 0.4182   |
| 0.0012        | 45.0  | 945  | 3.2396          | 0.4182   |
| 0.0012        | 46.0  | 966  | 3.2406          | 0.4182   |
| 0.0011        | 47.0  | 987  | 3.2423          | 0.4182   |
| 0.0012        | 48.0  | 1008 | 3.2436          | 0.4182   |
| 0.0011        | 49.0  | 1029 | 3.2446          | 0.4182   |
| 0.0012        | 50.0  | 1050 | 3.2451          | 0.4182   |


### Framework versions

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