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videomae-base-finetuned-good-gestureUnitV12
alexgrigore/videomae-base-finetuned-good-gestureUnitV12
videomae-base-finetuned-good-gestureUnitV12 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 10, 2024
- Updated
- Jun 10, 2024
- SHA
- 4f0e4d1a
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-gestureUnitV12
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: 0.8966
- Loss: 0.2937
- Accuracy Gunit: 0.8333
- Accuracy Nothing: 0.9556
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: 160
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss | Accuracy Gunit | Accuracy Nothing |
|---|---|---|---|---|---|---|
| 0.8549 | 0.1062 | 17 | 0.5714 | 0.6774 | 0.68 | 0.4839 |
| 0.6437 | 1.1062 | 34 | 0.4643 | 0.7254 | 1.0 | 0.0323 |
| 0.6226 | 2.1063 | 51 | 0.6071 | 0.6527 | 0.96 | 0.3226 |
| 0.5883 | 3.1063 | 68 | 0.5714 | 0.6389 | 1.0 | 0.2258 |
| 0.5136 | 4.1063 | 85 | 0.6964 | 0.5330 | 0.84 | 0.5806 |
| 0.4284 | 5.1063 | 102 | 0.8214 | 0.4506 | 0.84 | 0.8065 |
| 0.3474 | 6.1063 | 119 | 0.8214 | 0.3974 | 0.76 | 0.8710 |
| 0.2859 | 7.1063 | 136 | 0.8214 | 0.3822 | 0.64 | 0.9677 |
| 0.3059 | 8.1062 | 153 | 0.8393 | 0.3763 | 0.68 | 0.9677 |
| 0.2582 | 9.0437 | 160 | 0.8393 | 0.3738 | 0.68 | 0.9677 |
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 10, 2024
- Updated
- Jun 10, 2024