---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-large
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
model-index:
- name: videomae-large_6class_UCFCrime
  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-large_6class_UCFCrime

This model is a fine-tuned version of [MCG-NJU/videomae-large](https://huggingface.co/MCG-NJU/videomae-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6826
- Accuracy: 0.7523
- Precision: 0.7853
- Recall: 0.7523
- F1 Score: 0.7364

## 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: 2850

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|
| 1.5794        | 0.03  | 95   | 1.4947          | 0.4128   | 0.2370    | 0.4128 | 0.2975   |
| 1.7243        | 1.03  | 190  | 1.3362          | 0.5321   | 0.4612    | 0.5321 | 0.4143   |
| 1.6818        | 2.03  | 285  | 1.3317          | 0.3119   | 0.4356    | 0.3119 | 0.2364   |
| 1.0727        | 3.03  | 380  | 1.1666          | 0.5046   | 0.5546    | 0.5046 | 0.4337   |
| 1.1121        | 4.03  | 475  | 1.3545          | 0.4587   | 0.6563    | 0.4587 | 0.3678   |
| 1.0062        | 5.03  | 570  | 1.4656          | 0.5963   | 0.5376    | 0.5963 | 0.5325   |
| 1.2532        | 6.03  | 665  | 1.6516          | 0.5780   | 0.5596    | 0.5780 | 0.4982   |
| 1.9184        | 7.03  | 760  | 1.5020          | 0.5872   | 0.7283    | 0.5872 | 0.5449   |
| 1.0223        | 8.03  | 855  | 1.4417          | 0.5872   | 0.5636    | 0.5872 | 0.5027   |
| 0.9406        | 9.03  | 950  | 1.9402          | 0.5780   | 0.5800    | 0.5780 | 0.4906   |
| 1.3058        | 10.03 | 1045 | 1.7611          | 0.4679   | 0.6914    | 0.4679 | 0.4463   |
| 0.9196        | 11.03 | 1140 | 1.0373          | 0.6330   | 0.5648    | 0.6330 | 0.5625   |
| 0.4191        | 12.03 | 1235 | 0.9139          | 0.6789   | 0.7553    | 0.6789 | 0.6824   |
| 0.4816        | 13.03 | 1330 | 1.0840          | 0.7248   | 0.8001    | 0.7248 | 0.7176   |
| 1.0577        | 14.03 | 1425 | 0.9822          | 0.7339   | 0.7724    | 0.7339 | 0.7216   |
| 0.719         | 15.03 | 1520 | 1.4597          | 0.6789   | 0.6954    | 0.6789 | 0.6715   |
| 0.3427        | 16.03 | 1615 | 1.4807          | 0.6789   | 0.7114    | 0.6789 | 0.6818   |
| 0.6303        | 17.03 | 1710 | 1.9664          | 0.6881   | 0.7482    | 0.6881 | 0.6604   |
| 0.0025        | 18.03 | 1805 | 1.5750          | 0.7156   | 0.7403    | 0.7156 | 0.7067   |
| 0.2404        | 19.03 | 1900 | 2.2045          | 0.6606   | 0.7090    | 0.6606 | 0.6292   |
| 0.0313        | 20.03 | 1995 | 1.6007          | 0.7248   | 0.7776    | 0.7248 | 0.7091   |
| 0.3372        | 21.03 | 2090 | 1.6536          | 0.7156   | 0.7811    | 0.7156 | 0.6864   |
| 0.5431        | 22.03 | 2185 | 2.1961          | 0.6514   | 0.7559    | 0.6514 | 0.6161   |
| 0.0003        | 23.03 | 2280 | 1.6826          | 0.7523   | 0.7853    | 0.7523 | 0.7364   |
| 0.0013        | 24.03 | 2375 | 1.8359          | 0.7431   | 0.7906    | 0.7431 | 0.7291   |
| 0.0025        | 25.03 | 2470 | 2.0891          | 0.6881   | 0.7433    | 0.6881 | 0.6611   |
| 0.0153        | 26.03 | 2565 | 1.8442          | 0.7431   | 0.7855    | 0.7431 | 0.7296   |
| 0.0147        | 27.03 | 2660 | 1.8483          | 0.7431   | 0.7816    | 0.7431 | 0.7243   |
| 0.0002        | 28.03 | 2755 | 1.9301          | 0.7339   | 0.7765    | 0.7339 | 0.7150   |
| 0.0004        | 29.03 | 2850 | 1.9169          | 0.7339   | 0.7765    | 0.7339 | 0.7150   |


### Framework versions

- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2