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videomae-base-finetuned-kinetics-finetuned-round2-v4
bluebird089/videomae-base-finetuned-kinetics-finetuned-round2-v4
videomae-base-finetuned-kinetics-finetuned-round2-v4 is a video classification model from bluebird089. 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
- Mar 24, 2024
- Updated
- Mar 24, 2024
- SHA
- 683c967a
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-kinetics-finetuned-round2-v4
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: 0.3267
- Accuracy: 0.9093
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: 9e-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: 2057
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6144 | 0.09 | 188 | 0.7972 | 0.7909 |
| 0.2191 | 1.09 | 376 | 0.3035 | 0.8816 |
| 0.0656 | 2.09 | 564 | 0.4555 | 0.8665 |
| 0.2142 | 3.09 | 752 | 0.4683 | 0.8715 |
| 0.004 | 4.09 | 940 | 0.6044 | 0.8690 |
| 0.0013 | 5.09 | 1128 | 0.4463 | 0.8917 |
| 0.0007 | 6.09 | 1316 | 0.3773 | 0.9043 |
| 0.0007 | 7.09 | 1504 | 0.4021 | 0.9018 |
| 0.0006 | 8.09 | 1692 | 0.3116 | 0.9144 |
| 0.0006 | 9.09 | 1880 | 0.3104 | 0.9093 |
| 0.0005 | 10.09 | 2057 | 0.3267 | 0.9093 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Mar 24, 2024
- Updated
- Mar 24, 2024