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RALL_MVCROP-ori16Ftest_5e6-poly
TanAlexanderlz/RALL_MVCROP-ori16Ftest_5e6-poly
RALL_MVCROP-ori16Ftest_5e6-poly is a video classification model from TanAlexanderlz. 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
- Jun 7, 2025
- Updated
- Jun 7, 2025
- SHA
- 9e17ba21
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. -->
RALL_MVCROP-ori16Ftest_5e6-poly
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: 1.0783
- Accuracy: 0.6220
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-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1152
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6828 | 0.0833 | 96 | 0.6977 | 0.5244 |
| 0.692 | 1.0833 | 192 | 0.7108 | 0.5244 |
| 0.5597 | 2.0833 | 288 | 0.7554 | 0.5732 |
| 0.5573 | 3.0833 | 384 | 0.6685 | 0.5610 |
| 0.5035 | 4.0833 | 480 | 0.8520 | 0.5549 |
| 0.4499 | 5.0833 | 576 | 0.8314 | 0.5976 |
| 0.3592 | 6.0833 | 672 | 0.8039 | 0.5976 |
| 0.3792 | 7.0833 | 768 | 0.7147 | 0.6341 |
| 0.2453 | 8.0833 | 864 | 0.7976 | 0.6341 |
| 0.1699 | 9.0833 | 960 | 1.1120 | 0.5915 |
| 0.19 | 10.0833 | 1056 | 1.0033 | 0.6159 |
| 0.1862 | 11.0833 | 1152 | 1.0783 | 0.6220 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Jun 7, 2025
- Updated
- Jun 7, 2025