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videomae-base-finetuned-TikHaram
MazenMahmoud79/videomae-base-finetuned-TikHaram
videomae-base-finetuned-TikHaram is a video classification model from MazenMahmoud79. 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
- Jul 18, 2024
- Updated
- Jul 18, 2024
- SHA
- 73f08f7e
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. -->
<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/> <img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>
videomae-base-finetuned-TikHaram
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7397
- Accuracy: 0.6887
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: 295
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1138 | 0.1017 | 30 | 0.9141 | 0.7169 |
| 0.6999 | 1.1017 | 60 | 0.6574 | 0.7877 |
| 0.4804 | 2.1017 | 90 | 0.5710 | 0.7961 |
| 0.2795 | 3.1017 | 120 | 0.7722 | 0.7169 |
| 0.1862 | 4.1017 | 150 | 0.6860 | 0.7877 |
| 0.162 | 5.1017 | 180 | 0.6509 | 0.7810 |
| 0.1456 | 6.1017 | 210 | 0.7687 | 0.7574 |
| 0.1351 | 7.1017 | 240 | 0.7653 | 0.7675 |
| 0.0798 | 8.1017 | 270 | 0.7602 | 0.7751 |
| 0.246 | 9.0847 | 295 | 0.7605 | 0.7734 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Jul 18, 2024
- Updated
- Jul 18, 2024