---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-action_detection
  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-action_detection

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: 1.2662
- Accuracy: 0.7243

## 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: 15200

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.0956        | 0.02  | 305   | 1.3464          | 0.4774   |
| 0.683         | 1.02  | 610   | 2.3774          | 0.3704   |
| 0.5519        | 2.02  | 915   | 2.1501          | 0.3128   |
| 1.5863        | 3.02  | 1220  | 2.7112          | 0.2387   |
| 0.8028        | 4.02  | 1525  | 1.5204          | 0.7037   |
| 1.1797        | 5.02  | 1830  | 2.6479          | 0.2963   |
| 1.185         | 6.02  | 2135  | 0.8982          | 0.7860   |
| 0.9516        | 7.02  | 2440  | 1.2030          | 0.6008   |
| 0.5755        | 8.02  | 2745  | 0.8003          | 0.8189   |
| 0.6815        | 9.02  | 3050  | 2.3653          | 0.4198   |
| 1.1649        | 10.02 | 3355  | 3.0645          | 0.4403   |
| 1.1024        | 11.02 | 3660  | 2.4187          | 0.4321   |
| 1.1158        | 12.02 | 3965  | 2.2631          | 0.5597   |
| 0.2375        | 13.02 | 4270  | 2.2977          | 0.5432   |
| 0.7445        | 14.02 | 4575  | 1.0086          | 0.7860   |
| 0.6555        | 15.02 | 4880  | 0.7161          | 0.8560   |
| 0.8807        | 16.02 | 5185  | 1.2404          | 0.6584   |
| 1.0477        | 17.02 | 5490  | 1.6849          | 0.6173   |
| 0.498         | 18.02 | 5795  | 2.0557          | 0.5844   |
| 0.5536        | 19.02 | 6100  | 2.0703          | 0.5967   |
| 0.2232        | 20.02 | 6405  | 2.7690          | 0.4856   |
| 0.5589        | 21.02 | 6710  | 0.9549          | 0.7243   |
| 0.3377        | 22.02 | 7015  | 0.6488          | 0.8189   |
| 0.7096        | 23.02 | 7320  | 1.6638          | 0.5556   |
| 0.1201        | 24.02 | 7625  | 1.6283          | 0.5761   |
| 0.136         | 25.02 | 7930  | 1.4397          | 0.5926   |
| 0.2558        | 26.02 | 8235  | 1.7421          | 0.5350   |
| 0.3245        | 27.02 | 8540  | 1.2982          | 0.6132   |
| 0.0029        | 28.02 | 8845  | 1.0594          | 0.7202   |
| 0.3272        | 29.02 | 9150  | 1.0833          | 0.8272   |
| 0.0841        | 30.02 | 9455  | 1.3230          | 0.5926   |
| 0.5595        | 31.02 | 9760  | 2.5545          | 0.5844   |
| 0.0837        | 32.02 | 10065 | 1.5960          | 0.6296   |
| 0.0127        | 33.02 | 10370 | 1.8149          | 0.5720   |
| 0.3622        | 34.02 | 10675 | 2.4455          | 0.4938   |
| 0.0006        | 35.02 | 10980 | 1.6700          | 0.6461   |
| 0.0027        | 36.02 | 11285 | 2.2488          | 0.5720   |
| 0.0544        | 37.02 | 11590 | 2.6388          | 0.5514   |
| 0.2504        | 38.02 | 11895 | 1.5352          | 0.6379   |
| 0.0149        | 39.02 | 12200 | 2.2851          | 0.5391   |
| 0.4035        | 40.02 | 12505 | 1.8876          | 0.5556   |
| 0.0008        | 41.02 | 12810 | 2.4479          | 0.5473   |
| 0.3176        | 42.02 | 13115 | 2.0729          | 0.6049   |
| 0.0007        | 43.02 | 13420 | 1.5171          | 0.6255   |
| 0.3948        | 44.02 | 13725 | 1.4067          | 0.6132   |
| 0.0016        | 45.02 | 14030 | 1.0621          | 0.7325   |
| 0.2173        | 46.02 | 14335 | 1.5515          | 0.6132   |
| 0.0007        | 47.02 | 14640 | 1.2523          | 0.7284   |
| 0.2819        | 48.02 | 14945 | 1.5618          | 0.6461   |
| 0.0004        | 49.02 | 15200 | 1.2662          | 0.7243   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1