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
Modellquelle
- Art
- Other
- Dateigröße
- 329 MB
- Basismodell
- MCG-NJU/videomae-base
- Version
- vRevision 7644439
- Aktualisiert
- 24. Okt. 2026
- Downloads
- 4
- Quelle
- Hugging Face
Quellenbeschreibung
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
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 24. Okt.
Modellartefakte
1 Artefakt
Modellartefakte
1 ArtefaktQuellenauszüge
3 Auszüge
Quellenauszüge
3 Auszüge--- library_name: transformers license: cc-by-nc-4.0 base_model: MCG-NJU/videomae-base tags: - generated_from_trainer metrics: - accuracy model-index: - name: shot_model results: [] --- <!-- 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](https://huggingface.co/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
Source context: 4 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo ashishgimekar/shot_model
Source context: 5 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo ashishgimekar/shot_model
