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videomae-base-finetuned-Accident-Video-subset
pavitemple/videomae-base-finetuned-Accident-Video-subset
videomae-base-finetuned-Accident-Video-subset is a video classification model from pavitemple. 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
- Nov 6, 2023
- Updated
- Nov 26, 2023
- SHA
- 9d984cb0
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-Accident-Video-subset
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: 1.1078
- Accuracy: 0.5806
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: 4
- eval_batch_size: 4
- 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: 88
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.5179 | 0.14 | 12 | 1.2395 | 0.48 |
| 1.1924 | 1.14 | 24 | 1.1857 | 0.52 |
| 1.3708 | 2.14 | 36 | 1.1845 | 0.48 |
| 1.1118 | 3.14 | 48 | 1.0907 | 0.44 |
| 1.1829 | 4.14 | 60 | 1.1010 | 0.6 |
| 1.2004 | 5.14 | 72 | 1.0521 | 0.56 |
| 1.0309 | 6.14 | 84 | 1.0305 | 0.56 |
| 1.0309 | 7.05 | 88 | 1.0280 | 0.6 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Nov 6, 2023
- Updated
- Nov 26, 2023