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BxSD-finetuned-Real_RGBCROP_Aug16F-8B16F-GACWDlr
TanAlexanderlz/BxSD-finetuned-Real_RGBCROP_Aug16F-8B16F-GACWDlr
BxSD-finetuned-Real_RGBCROP_Aug16F-8B16F-GACWDlr 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
- May 28, 2025
- Updated
- May 28, 2025
- SHA
- 0660457b
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. -->
BxSD-finetuned-Real_RGBCROP_Aug16F-8B16F-GACWDlr
This model is a fine-tuned version of TanAlexanderlz/BxSD_RGBCROP_Aug16F-8B16F-GACWDlr on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6475
- Accuracy: 0.7810
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 3520
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4829 | 0.025 | 88 | 0.7656 | 0.67 |
| 0.3096 | 1.025 | 176 | 0.6833 | 0.69 |
| 0.1399 | 2.025 | 264 | 0.8448 | 0.72 |
| 0.0227 | 3.025 | 352 | 1.3403 | 0.71 |
| 0.0054 | 4.025 | 440 | 1.4998 | 0.7133 |
| 0.0007 | 5.025 | 528 | 1.7194 | 0.6967 |
| 0.0004 | 6.025 | 616 | 1.7670 | 0.71 |
| 0.0002 | 7.025 | 704 | 1.8450 | 0.7033 |
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
- May 28, 2025
- Updated
- May 28, 2025