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videomae-base-finetuned
meutiajasmine/videomae-base-finetuned
videomae-base-finetuned is a video classification model from meutiajasmine. 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
- Feb 14, 2025
- Updated
- Feb 14, 2025
- SHA
- c21dc3bc
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
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9875
- Accuracy: 0.6761
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 OptimizerNames.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: 0.1
- training_steps: 650
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.6056 | 0.1015 | 66 | 1.5308 | 0.2879 |
| 1.5067 | 1.1015 | 132 | 1.4474 | 0.3636 |
| 1.1882 | 2.1015 | 198 | 1.1753 | 0.4848 |
| 1.3819 | 3.1015 | 264 | 0.8098 | 0.6364 |
| 0.8098 | 4.1015 | 330 | 0.7322 | 0.8030 |
| 0.4295 | 5.1015 | 396 | 0.7815 | 0.6970 |
| 0.5011 | 6.1015 | 462 | 0.4940 | 0.8939 |
| 0.2092 | 7.1015 | 528 | 0.5270 | 0.8182 |
| 0.1115 | 8.1015 | 594 | 0.5709 | 0.7727 |
| 0.2199 | 9.0862 | 650 | 0.5146 | 0.7727 |
Framework versions
- Transformers 4.48.2
- 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
- Feb 14, 2025
- Updated
- Feb 14, 2025