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videomae-base-finetuned-kinetics-finetuned_aggression_small
jagpreetjakhar/videomae-base-finetuned-kinetics-finetuned_aggression_small
videomae-base-finetuned-kinetics-finetuned_aggression_small is a video classification model from jagpreetjakhar. 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 25, 2025
- Updated
- Jan 25, 2025
- SHA
- bca66611
Base models
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-kinetics-finetuned_aggression_small
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0896
- Accuracy: 0.6492
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- 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
- training_steps: 580
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.4363 | 0.1017 | 59 | 1.3741 | 0.4748 |
| 0.8512 | 1.1017 | 118 | 1.4081 | 0.4496 |
| 0.6126 | 2.1017 | 177 | 1.4804 | 0.5144 |
| 0.5229 | 3.1017 | 236 | 1.3253 | 0.5072 |
| 0.5223 | 4.1017 | 295 | 1.3315 | 0.5432 |
| 0.2361 | 5.1017 | 354 | 1.5060 | 0.5504 |
| 0.1656 | 6.1017 | 413 | 1.5207 | 0.5683 |
| 0.1531 | 7.1017 | 472 | 1.5595 | 0.5504 |
| 0.1112 | 8.1017 | 531 | 1.6025 | 0.5432 |
| 0.0567 | 9.0845 | 580 | 1.6007 | 0.5647 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Jan 25, 2025
- Updated
- Jan 25, 2025