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videomae-base-finetuned-kinetics-0417_final_5sec_org_ab7_val_inside_train_balanced_allpretest
d2o2ji/videomae-base-finetuned-kinetics-0417_final_5sec_org_ab7_val_inside_train_balanced_allpretest
videomae-base-finetuned-kinetics-0417_final_5sec_org_ab7_val_inside_train_balanced_allpretest 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 17, 2025
- SHA
- 960c960a
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-0417_final_5sec_org_ab7_val_inside_train_balanced_allpretest
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: 0.2601
- Accuracy: 0.9217
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: 86000
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0156 | 0.0100 | 861 | 0.1954 | 0.9281 |
| 2.8163 | 1.0100 | 1722 | 0.1982 | 0.9384 |
| 2.3325 | 2.0100 | 2583 | 0.4539 | 0.8791 |
| 0.0072 | 3.0100 | 3444 | 0.4816 | 0.8752 |
| 2.4587 | 4.0100 | 4305 | 0.2090 | 0.9423 |
| 0.0005 | 5.0100 | 5166 | 0.2878 | 0.9139 |
| 2.7948 | 6.0100 | 6027 | 0.7033 | 0.8507 |
| 0.0471 | 7.0100 | 6888 | 0.3067 | 0.9084 |
| 0.003 | 8.0100 | 7749 | 0.4804 | 0.8949 |
| 0.0026 | 9.0100 | 8610 | 0.3477 | 0.9226 |
| 0.0007 | 10.0100 | 9471 | 0.3830 | 0.9194 |
| 0.0014 | 11.0100 | 10332 | 0.2867 | 0.9171 |
| 0.0002 | 12.0100 | 11193 | 0.5321 | 0.8965 |
| 0.0016 | 13.0100 | 12054 | 0.3969 | 0.9100 |
| 0.0077 | 14.0100 | 12915 | 0.3807 | 0.9297 |
| 0.0083 | 15.0100 | 13776 | 0.3125 | 0.9305 |
| 0.001 | 16.0100 | 14637 | 0.3918 | 0.9202 |
| 0.0003 | 17.0100 | 15498 | 0.3189 | 0.9376 |
| 0.0001 | 18.0100 | 16359 | 0.3230 | 0.9360 |
| 0.0204 | 19.0100 | 17220 | 0.3610 | 0.9376 |
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 17, 2025