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videomae-base-finetuned-kinetics-0313-clip_duration-abnormal02_shortsidescale
d2o2ji/videomae-base-finetuned-kinetics-0313-clip_duration-abnormal02_shortsidescale
videomae-base-finetuned-kinetics-0313-clip_duration-abnormal02_shortsidescale is a video classification model from d2o2ji. 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
- Mar 13, 2025
- Updated
- Mar 13, 2025
- SHA
- 413239c6
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-0313-clip_duration-abnormal02_shortsidescale
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: 0.2529
- Accuracy: 0.9137
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: 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: 0.05
- training_steps: 35000
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3968 | 0.01 | 350 | 0.2910 | 0.9072 |
| 0.5595 | 1.01 | 700 | 0.4113 | 0.8806 |
| 0.0738 | 2.01 | 1050 | 0.4882 | 0.8554 |
| 0.034 | 3.01 | 1400 | 0.3137 | 0.8966 |
| 0.0038 | 4.01 | 1750 | 0.3382 | 0.8846 |
| 0.2912 | 5.01 | 2100 | 0.4349 | 0.8753 |
| 0.0587 | 6.01 | 2450 | 0.3697 | 0.8833 |
| 0.001 | 7.01 | 2800 | 0.3930 | 0.9019 |
| 0.0011 | 8.01 | 3150 | 0.4435 | 0.9045 |
| 0.0009 | 9.01 | 3500 | 0.5117 | 0.8820 |
| 0.0012 | 10.01 | 3850 | 0.4376 | 0.8939 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Mar 13, 2025
- Updated
- Mar 13, 2025