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videomae-base-ASD_Behavour_v4
kanlo/videomae-base-ASD_Behavour_v4
videomae-base-ASD_Behavour_v4 is a video classification model from kanlo. 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
- May 18, 2024
- Updated
- Jun 15, 2024
- SHA
- 832aeb88
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-ASD_Behavour_v4
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: 1.1278
- Accuracy: 0.4286
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.2 | 2 | 1.0695 | 0.2807 |
| No log | 1.2 | 4 | 1.0094 | 0.4211 |
| No log | 2.2 | 6 | 1.0282 | 0.3509 |
| No log | 3.2 | 8 | 1.0082 | 0.5439 |
| 1.0729 | 4.2 | 10 | 1.0134 | 0.5439 |
Framework versions
- Transformers 4.41.0
- 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
- May 18, 2024
- Updated
- Jun 15, 2024