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videomae-base-finetuned-good-gestureUnitsV2
alexgrigore/videomae-base-finetuned-good-gestureUnitsV2
videomae-base-finetuned-good-gestureUnitsV2 is a video classification model from alexgrigore. 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
- Jun 8, 2024
- Updated
- Jun 8, 2024
- SHA
- ab11bcfd
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-good-gestureUnitsV2
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:
- Accuracy: 0.8932
- Loss: 0.3541
- Accuracy Gunit: 0.5417
- Accuracy Nothing: 1.0
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 170
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss | Accuracy Gunit | Accuracy Nothing |
|---|---|---|---|---|---|---|
| 0.7018 | 0.1 | 17 | 0.2810 | 0.7374 | 0.75 | 0.0494 |
| 0.6812 | 1.1 | 34 | 0.3223 | 0.7290 | 0.925 | 0.0247 |
| 0.606 | 2.1 | 51 | 0.5537 | 0.6634 | 0.85 | 0.4074 |
| 0.604 | 3.1 | 68 | 0.4298 | 0.6624 | 0.95 | 0.1728 |
| 0.5523 | 4.1 | 85 | 0.8512 | 0.5508 | 0.85 | 0.8519 |
| 0.4609 | 5.1 | 102 | 0.8595 | 0.4713 | 0.875 | 0.8519 |
| 0.4126 | 6.1 | 119 | 0.9421 | 0.3119 | 0.85 | 0.9877 |
| 0.2594 | 7.1 | 136 | 0.9421 | 0.2562 | 0.85 | 0.9877 |
| 0.1955 | 8.1 | 153 | 0.9174 | 0.2955 | 0.875 | 0.9383 |
| 0.2203 | 9.1 | 170 | 0.9421 | 0.2354 | 0.85 | 0.9877 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Jun 8, 2024
- Updated
- Jun 8, 2024