
<!-- 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

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: 2.0871
- Accuracy: 0.5058

## 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: 6000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6487        | 0.02  | 120  | 0.6813          | 0.6989   |
| 0.4529        | 1.02  | 240  | 0.7467          | 0.5678   |
| 0.5165        | 2.02  | 360  | 0.7600          | 0.7264   |
| 0.9203        | 3.02  | 480  | 0.6189          | 0.6517   |
| 1.2667        | 4.02  | 600  | 0.6702          | 0.6511   |
| 1.0452        | 5.02  | 720  | 0.5703          | 0.7592   |
| 0.3893        | 6.02  | 840  | 0.5524          | 0.7397   |
| 1.2013        | 7.02  | 960  | 0.7470          | 0.6109   |
| 1.4903        | 8.02  | 1080 | 1.0094          | 0.5695   |
| 0.5434        | 9.02  | 1200 | 0.5189          | 0.7586   |
| 0.8344        | 10.02 | 1320 | 0.7674          | 0.5552   |
| 1.1621        | 11.02 | 1440 | 0.9610          | 0.5874   |
| 0.8743        | 12.02 | 1560 | 0.8160          | 0.6448   |
| 0.7118        | 13.02 | 1680 | 0.6015          | 0.6592   |
| 0.8404        | 14.02 | 1800 | 0.7149          | 0.7661   |
| 1.0397        | 15.02 | 1920 | 0.6360          | 0.7770   |
| 1.3511        | 16.02 | 2040 | 0.9110          | 0.6523   |
| 1.0257        | 17.02 | 2160 | 1.0642          | 0.5891   |
| 1.0726        | 18.02 | 2280 | 0.7299          | 0.8213   |
| 0.5609        | 19.02 | 2400 | 0.8921          | 0.6408   |
| 0.495         | 20.02 | 2520 | 0.7762          | 0.7632   |
| 1.6306        | 21.02 | 2640 | 0.9976          | 0.7092   |
| 1.0072        | 22.02 | 2760 | 0.5697          | 0.8029   |
| 0.4503        | 23.02 | 2880 | 0.8448          | 0.6914   |
| 0.8306        | 24.02 | 3000 | 0.9617          | 0.7351   |
| 0.8824        | 25.02 | 3120 | 1.1839          | 0.6759   |
| 0.837         | 26.02 | 3240 | 1.6406          | 0.6075   |
| 0.4214        | 27.02 | 3360 | 1.1276          | 0.6920   |
| 0.5166        | 28.02 | 3480 | 1.0815          | 0.7626   |
| 0.6925        | 29.02 | 3600 | 1.1492          | 0.7086   |
| 0.2864        | 30.02 | 3720 | 1.1919          | 0.7345   |
| 0.463         | 31.02 | 3840 | 1.3524          | 0.6937   |
| 1.1162        | 32.02 | 3960 | 1.8301          | 0.5822   |
| 0.0033        | 33.02 | 4080 | 1.4447          | 0.6891   |
| 0.002         | 34.02 | 4200 | 1.6565          | 0.6960   |
| 0.0017        | 35.02 | 4320 | 1.5357          | 0.7282   |
| 0.2289        | 36.02 | 4440 | 1.9812          | 0.6397   |
| 0.4801        | 37.02 | 4560 | 2.2316          | 0.6167   |
| 1.0323        | 38.02 | 4680 | 2.1380          | 0.5822   |
| 0.0715        | 39.02 | 4800 | 1.9264          | 0.6345   |
| 0.0024        | 40.02 | 4920 | 2.6257          | 0.5023   |
| 0.4734        | 41.02 | 5040 | 1.8666          | 0.6316   |
| 0.3108        | 42.02 | 5160 | 1.5493          | 0.7299   |
| 0.2318        | 43.02 | 5280 | 2.0831          | 0.6333   |
| 0.6623        | 44.02 | 5400 | 2.3276          | 0.6029   |
| 0.0011        | 45.02 | 5520 | 2.0469          | 0.6684   |
| 0.32          | 46.02 | 5640 | 2.4646          | 0.6138   |
| 0.0054        | 47.02 | 5760 | 2.5998          | 0.5897   |
| 0.2733        | 48.02 | 5880 | 2.7594          | 0.5638   |
| 0.0005        | 49.02 | 6000 | 2.8625          | 0.55     |


### Framework versions

- Transformers 4.29.2
- Pytorch 1.13.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "videomae-base-finetuned-ucf_crime", "results": []}]}
transformers pytorch tensorboard videomae video-classification generated_from_trainer license:cc-by-nc-4.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #videomae #video-classification #generated_from_trainer #license-cc-by-nc-4.0 #endpoints_compatible #region-us 

videomae-base-finetuned-ucf\_crime
==================================


This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 2.0871
* Accuracy: 0.5058


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: 6000


### Training results



### Framework versions


* Transformers 4.29.2
* Pytorch 1.13.1+cu117
* Datasets 2.12.0
* Tokenizers 0.13.3



### 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: 6000 ### Training results ### Framework versions


* Transformers 4.29.2
* Pytorch 1.13.1+cu117
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #videomae #video-classification #generated_from_trainer #license-cc-by-nc-4.0 #endpoints_compatible #region-us 
 ### 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: 6000 ### Training results ### Framework versions


* Transformers 4.29.2
* Pytorch 1.13.1+cu117
* Datasets 2.12.0
* Tokenizers 0.13.3