Downloads · 30 days
17
10% of all-time downloads
videomae-base-finetuned-kinetics-0409_final_5sec_org_ab7_val_as123_retry
d2o2ji/videomae-base-finetuned-kinetics-0409_final_5sec_org_ab7_val_as123_retry
videomae-base-finetuned-kinetics-0409_final_5sec_org_ab7_val_as123_retry 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. --
All-time downloads
165
Public
Parameters
86.2M
4.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors345 MB · 100%
At a glance
- Task
- Video Classification
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- videomae
- Access
- Public
- Created
- Apr 9, 2025
- Updated
- Apr 9, 2025
- SHA
- 473d2206
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-0409_final_5sec_org_ab7_val_as123_retry
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: 0.3849
- Accuracy: 0.9123
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 |
|---|---|---|---|---|
| 0.6536 | 0.0100 | 659 | 0.3131 | 0.8889 |
| 0.0064 | 1.0100 | 1318 | 0.2702 | 0.9241 |
| 0.0189 | 2.0100 | 1977 | 0.6265 | 0.8271 |
| 0.0018 | 3.0100 | 2636 | 0.5558 | 0.8709 |
| 0.0105 | 4.0100 | 3295 | 0.8117 | 0.8443 |
| 0.0026 | 5.0100 | 3954 | 0.4269 | 0.9014 |
| 0.0107 | 6.0100 | 4613 | 0.5239 | 0.8638 |
| 0.0481 | 7.0100 | 5272 | 0.4894 | 0.8740 |
| 0.0069 | 8.0100 | 5931 | 0.5610 | 0.8599 |
| 0.0035 | 9.0100 | 6590 | 0.5693 | 0.8795 |
| 1.3138 | 10.0100 | 7249 | 1.0626 | 0.8020 |
| 0.0002 | 11.0100 | 7908 | 0.4887 | 0.8897 |
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 9, 2025
- Updated
- Apr 9, 2025