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finetuned-Accident-MultipleLabels-Video-subset-v2-new2
pavitemple/finetuned-Accident-MultipleLabels-Video-subset-v2-new2
finetuned-Accident-MultipleLabels-Video-subset-v2-new2 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
- Dec 5, 2023
- Updated
- Dec 5, 2023
- SHA
- 1dd10981
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-v2-new2
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: 1.8100
- Accuracy: 0.2963
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.13 | 4 | 1.8680 | 0.0938 |
| No log | 1.13 | 8 | 1.9307 | 0.0469 |
| 1.7131 | 2.13 | 12 | 2.0182 | 0.0312 |
| 1.7131 | 3.13 | 16 | 1.9762 | 0.0625 |
| 1.4337 | 4.13 | 20 | 1.9643 | 0.0469 |
| 1.4337 | 5.13 | 24 | 1.9054 | 0.0625 |
| 1.4337 | 6.13 | 28 | 1.8946 | 0.0938 |
| 1.4096 | 7.07 | 30 | 1.8918 | 0.0938 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.2.0.dev20231202+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Dec 5, 2023
- Updated
- Dec 5, 2023