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shot_model
ashishgimekar/shot_model
shot_model is a video classification model from ashishgimekar. 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 8, 2026
- Updated
- Mar 8, 2026
- SHA
- 76444393
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. -->
shot_model
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: 1.4299
- Accuracy: 0.692
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.1
- training_steps: 6250
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.6227 | 1.0 | 625 | 1.9235 | 0.228 |
| 1.4269 | 2.0 | 1250 | 1.4425 | 0.496 |
| 1.0222 | 3.0 | 1875 | 1.3376 | 0.5 |
| 1.0616 | 4.0 | 2500 | 1.6164 | 0.464 |
| 1.0547 | 5.0 | 3125 | 1.2287 | 0.552 |
| 0.6092 | 6.0 | 3750 | 1.3996 | 0.584 |
| 0.5217 | 7.0 | 4375 | 1.2899 | 0.644 |
| 0.7761 | 8.0 | 5000 | 1.5018 | 0.656 |
| 1.2009 | 9.0 | 5625 | 1.4867 | 0.676 |
| 0.2304 | 10.0 | 6250 | 1.4299 | 0.692 |
Framework versions
- Transformers 5.3.0
- Pytorch 2.10.0
- Datasets 4.6.1
- Tokenizers 0.22.2
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Mar 8, 2026
- Updated
- Mar 8, 2026