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videomae-base-finetuned-fight-nofight-subset2
archit11/videomae-base-finetuned-fight-nofight-subset2
videomae-base-finetuned-fight-nofight-subset2 is a video classification model from archit11. Use it for the video classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Video Classification
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- videomae
- Access
- Public
- Created
- Jan 20, 2024
- Updated
- Feb 11, 2024
- SHA
- dc6cd10c
Base models
Datasets
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Model card
From the Hugging Face model README
<!-- 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-fight-nofight-subset2
NOTE: This is experimentational if youre expecting this to work accurately (it wont) or be useful should probably look eslewhere😛
This model is a fine-tuned version of MCG-NJU/videomae-base on the Acts of Agression (cttv footage fights) dataset. It achieves the following results on the evaluation set:
- Loss: 0.5190
- Accuracy: 0.7435
Model description
Classifies video input into "Fight" or "No Fight" Class
Intended uses & limitations
Can be used to detect fights/crime in cctv footage
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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: 252
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5145 | 0.25 | 64 | 0.7845 | 0.5075 |
| 0.607 | 1.25 | 128 | 0.6886 | 0.6343 |
| 0.3986 | 2.25 | 192 | 0.5106 | 0.7463 |
| 0.3632 | 3.24 | 252 | 0.7408 | 0.6716 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Jan 20, 2024
- Updated
- Feb 11, 2024