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finetuned-Accident-MultipleLabels-Video-subset
pavitemple/finetuned-Accident-MultipleLabels-Video-subset
finetuned-Accident-MultipleLabels-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 26, 2023
- Updated
- Nov 28, 2023
- SHA
- 79fa2eb3
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. -->
finetuned-Accident-MultipleLabels-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: 2.0208
- Accuracy: 0.2593
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: 200
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.9193 | 0.08 | 16 | 1.9108 | 0.2344 |
| 1.4025 | 1.08 | 32 | 2.0975 | 0.1094 |
| 1.5413 | 2.08 | 48 | 2.0303 | 0.2969 |
| 1.4147 | 3.08 | 64 | 2.3447 | 0.2969 |
| 1.3804 | 4.08 | 80 | 2.4733 | 0.0469 |
| 1.3687 | 5.08 | 96 | 2.4051 | 0.3438 |
| 1.2929 | 6.08 | 112 | 2.3691 | 0.3125 |
| 1.1661 | 7.08 | 128 | 2.6412 | 0.1875 |
| 1.2024 | 8.08 | 144 | 2.6427 | 0.3125 |
| 1.0824 | 9.08 | 160 | 2.7478 | 0.3594 |
| 1.1011 | 10.08 | 176 | 2.7789 | 0.3594 |
| 0.9492 | 11.08 | 192 | 2.7706 | 0.3281 |
| 1.1232 | 12.04 | 200 | 2.7944 | 0.2969 |
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 26, 2023
- Updated
- Nov 28, 2023