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videomae-base-finetuned-kinetics-0408_final_5sec_org_ab7_val_as123
d2o2ji/videomae-base-finetuned-kinetics-0408_final_5sec_org_ab7_val_as123
videomae-base-finetuned-kinetics-0408_final_5sec_org_ab7_val_as123 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
- Apr 8, 2025
- Updated
- Apr 8, 2025
- SHA
- f3b71c1f
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-0408_final_5sec_org_ab7_val_as123
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: 0.3219
- Accuracy: 0.9225
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: 65800
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.537 | 0.0100 | 659 | 0.3567 | 0.8740 |
| 0.0105 | 1.0100 | 1318 | 0.2819 | 0.9139 |
| 0.0039 | 2.0100 | 1977 | 0.3886 | 0.8858 |
| 0.0023 | 3.0100 | 2636 | 0.7164 | 0.8169 |
| 0.0222 | 4.0100 | 3295 | 0.2866 | 0.9264 |
| 0.0076 | 5.0100 | 3954 | 0.4126 | 0.9006 |
| 1.008 | 6.0100 | 4613 | 0.3480 | 0.9006 |
| 0.2086 | 7.0100 | 5272 | 0.2673 | 0.9311 |
| 0.4466 | 8.0100 | 5931 | 0.3282 | 0.9264 |
| 0.0067 | 9.0100 | 6590 | 0.3301 | 0.9116 |
| 1.3353 | 10.0100 | 7249 | 0.5289 | 0.8654 |
| 0.0003 | 11.0100 | 7908 | 0.6538 | 0.8732 |
| 0.0003 | 12.0100 | 8567 | 0.3669 | 0.9241 |
| 0.0184 | 13.0100 | 9226 | 0.3609 | 0.9171 |
| 0.0002 | 14.0100 | 9885 | 0.5037 | 0.8975 |
| 0.0001 | 15.0100 | 10544 | 0.4052 | 0.9202 |
| 0.0077 | 16.0100 | 11203 | 0.5142 | 0.9014 |
| 0.0001 | 17.0100 | 11862 | 0.3801 | 0.9241 |
| 0.0092 | 18.0100 | 12521 | 0.5826 | 0.9030 |
| 0.0012 | 19.0100 | 13180 | 0.4868 | 0.9155 |
| 0.0043 | 20.0100 | 13839 | 0.4497 | 0.9186 |
| 0.0001 | 21.0100 | 14498 | 0.7081 | 0.8858 |
| 0.0 | 22.0100 | 15157 | 0.8394 | 0.8725 |
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
- Apr 8, 2025
- Updated
- Apr 8, 2025