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videomae-base-finetuned-kinetics-0411_final_5sec_org_ab7_val_inside_train_04_except259
d2o2ji/videomae-base-finetuned-kinetics-0411_final_5sec_org_ab7_val_inside_train_04_except259
videomae-base-finetuned-kinetics-0411_final_5sec_org_ab7_val_inside_train_04_except259 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 11, 2025
- Updated
- Apr 11, 2025
- SHA
- 79d5d318
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-0411_final_5sec_org_ab7_val_inside_train_04_except259
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: 0.4586
- Accuracy: 0.8999
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: 65100
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0132 | 0.0100 | 652 | 0.3331 | 0.8974 |
| 0.6593 | 1.0100 | 1304 | 0.3695 | 0.9052 |
| 0.1179 | 2.0100 | 1956 | 0.4626 | 0.8543 |
| 0.0211 | 3.0100 | 2608 | 0.4686 | 0.8825 |
| 0.2502 | 4.0100 | 3260 | 0.3319 | 0.8943 |
| 0.0027 | 5.0100 | 3912 | 0.6099 | 0.8583 |
| 0.0021 | 6.0100 | 4564 | 0.3373 | 0.9154 |
| 0.0024 | 7.0100 | 5216 | 0.4201 | 0.8739 |
| 0.0031 | 8.0100 | 5868 | 1.0146 | 0.7533 |
| 0.8114 | 9.0100 | 6520 | 0.8015 | 0.7980 |
| 0.0059 | 10.0100 | 7172 | 0.6714 | 0.8332 |
| 0.0006 | 11.0100 | 7824 | 0.5937 | 0.8810 |
| 0.0008 | 12.0100 | 8476 | 1.1701 | 0.7948 |
| 0.0009 | 13.0100 | 9128 | 1.0919 | 0.7940 |
| 0.0033 | 14.0100 | 9780 | 0.4259 | 0.8786 |
| 0.0006 | 15.0100 | 10432 | 0.8342 | 0.8285 |
| 0.0008 | 16.0100 | 11084 | 0.6868 | 0.8465 |
| 0.7172 | 17.0100 | 11736 | 0.5313 | 0.8857 |
| 0.0063 | 18.0100 | 12388 | 0.7146 | 0.8763 |
| 0.0002 | 19.0100 | 13040 | 0.6722 | 0.8739 |
| 0.0014 | 20.0100 | 13692 | 0.6266 | 0.8536 |
| 0.0011 | 21.0100 | 14344 | 0.8015 | 0.8716 |
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 11, 2025
- Updated
- Apr 11, 2025