3 Buatan RGBCROP Aug16F 8B16F GACWDlr
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: 0.4871 Accuracy: 0.7955
Model source
- Kind
- Other
- File size
- 329 MB
- Base model
- MCG-NJU/videomae-base-finetuned-kinetics
- Version
- vRevision 2e37b8c
- Updated
- Sep 26, 2026
- Downloads
- 2
- Source
- Hugging Face
Source description
3_Buatan_RGBCROP_Aug16F-8B16F-GACWDlr
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: 0.4871
- Accuracy: 0.7955
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: 2520
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5839 | 0.025 | 63 | 0.6498 | 0.6917 |
| 0.285 | 1.025 | 126 | 0.2116 | 1.0 |
| 0.0236 | 2.025 | 189 | 0.0153 | 1.0 |
| 0.0234 | 3.025 | 252 | 0.0065 | 1.0 |
| 0.0025 | 4.025 | 315 | 0.0028 | 1.0 |
| 0.0007 | 5.025 | 378 | 0.0012 | 1.0 |
| 0.0005 | 6.025 | 441 | 0.0008 | 1.0 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
Sources
1 source
Sources
1 sourceVerified Sep 12
Model artifacts
1 artifact
Model artifacts
1 artifactSource excerpts
2 excerpts
Source excerpts
2 excerpts--- library_name: transformers license: cc-by-nc-4.0 base_model: MCG-NJU/videomae-base-finetuned-kinetics tags: - generated_from_trainer metrics: - accuracy model-index: - name: 3_Buatan_RGBCROP_Aug16F-8B16F-GACWDlr 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. --> # 3_Buatan_RGBCROP_Aug16F-8B16F-GACWDlr This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.4871 - Accuracy: 0.7955 ## 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: 2520 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.5839 | 0.025 | 63 | 0.6498 | 0.6917 | | 0.285 | 1.025 | 126 | 0.2116 | 1.0 | | 0.0236 | 2.025 | 189 | 0.0153 | 1.0 | | 0.0234 | 3.025 | 252 | 0.0065 | 1.0 | | 0.0025 | 4.025 | 315 | 0.0028 | 1.0 | | 0.0007 | 5.025 | 378 | 0.0012 | 1.0 | | 0.0005 | 6.025 | 441 | 0.0008 | 1.0 | ### Framework versions - Transformers 4.51.3 - Pytorch 2.6.0+cu124 - Datasets 3.6.0 - Tokenizers 0.21.1
Source context: 2 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo TanAlexanderlz/3_Buatan_RGBCROP_Aug16F-8B16F-GACWDlr
