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videomae-base-finetuned-kinetics-0416_final_5sec_org_balanced_replacecroppretest
d2o2ji/videomae-base-finetuned-kinetics-0416_final_5sec_org_balanced_replacecroppretest
videomae-base-finetuned-kinetics-0416_final_5sec_org_balanced_replacecroppretest 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 16, 2025
- Updated
- Apr 16, 2025
- SHA
- 4e84029d
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-0416_final_5sec_org_balanced_replacecroppretest
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: 0.9630
- Accuracy: 0.8330
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: 57800
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0448 | 0.0100 | 579 | 0.6481 | 0.8053 |
| 0.0015 | 1.0100 | 1158 | 0.7120 | 0.8430 |
| 0.0019 | 2.0100 | 1737 | 0.8507 | 0.8439 |
| 1.0975 | 3.0100 | 2316 | 0.7177 | 0.8412 |
| 0.0061 | 4.0100 | 2895 | 0.4413 | 0.8842 |
| 0.0047 | 5.0100 | 3474 | 0.8424 | 0.8246 |
| 0.001 | 6.0100 | 4053 | 0.6867 | 0.8807 |
| 0.0001 | 7.0100 | 4632 | 0.6921 | 0.8895 |
| 0.0012 | 8.0100 | 5211 | 0.9348 | 0.8518 |
| 0.0001 | 9.0100 | 5790 | 1.2715 | 0.8175 |
| 0.0076 | 10.0100 | 6369 | 0.9247 | 0.8544 |
| 0.0088 | 11.0100 | 6948 | 1.1050 | 0.8404 |
| 0.0 | 12.0100 | 7527 | 0.7281 | 0.8772 |
| 0.0001 | 13.0100 | 8106 | 0.8381 | 0.8763 |
| 0.0026 | 14.0100 | 8685 | 0.7997 | 0.8772 |
| 0.0099 | 15.0100 | 9264 | 0.9333 | 0.8649 |
| 0.0 | 16.0100 | 9843 | 1.0398 | 0.8430 |
| 0.0001 | 17.0100 | 10422 | 0.8570 | 0.8719 |
| 0.0012 | 18.0100 | 11001 | 0.9378 | 0.8649 |
| 0.0002 | 19.0100 | 11580 | 1.0377 | 0.8553 |
| 0.0004 | 20.0100 | 12159 | 0.8902 | 0.8684 |
| 0.0 | 21.0100 | 12738 | 1.2577 | 0.8377 |
| 0.2182 | 22.0100 | 13317 | 1.1700 | 0.8509 |
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 16, 2025
- Updated
- Apr 16, 2025