Buatan2 Finetuned Real RGBCROP Aug 8B16F
This model is a fine-tuned version of TanAlexanderlz/3BuatanRGBCROPAug16F-8B16F-2 on an unknown dataset. It achieves the following results on the evaluation set: Loss: 1.1757 Accuracy: 0.7484
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 329 MB
- Modelo base
- TanAlexanderlz/3_Buatan_RGBCROP_Aug16F-8B16F-2
- Versión
- vRevision c9e1801
- Actualizado
- 21 sept 2026
- Descargas
- 3
- Fuente
- Hugging Face
Descripción de la fuente
Buatan2-Finetuned-Real_RGBCROP-Aug-8B16F
This model is a fine-tuned version of TanAlexanderlz/3_Buatan_RGBCROP_Aug16F-8B16F-2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1757
- Accuracy: 0.7484
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: 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: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 3520
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2811 | 0.0503 | 177 | 0.7131 | 0.71 |
| 0.0637 | 1.0503 | 354 | 1.7454 | 0.6567 |
| 0.215 | 2.0503 | 531 | 1.2591 | 0.72 |
| 0.0001 | 3.0503 | 708 | 1.8786 | 0.69 |
| 0.0 | 4.0503 | 885 | 2.2648 | 0.6967 |
| 0.0 | 5.0503 | 1062 | 1.9327 | 0.7133 |
| 0.028 | 6.0503 | 1239 | 1.9972 | 0.7067 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 5 sept
Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactoExtractos de fuentes
2 extractos
Extractos de fuentes
2 extractos--- library_name: transformers license: cc-by-nc-4.0 base_model: TanAlexanderlz/3_Buatan_RGBCROP_Aug16F-8B16F-2 tags: - generated_from_trainer metrics: - accuracy model-index: - name: Buatan2-Finetuned-Real_RGBCROP-Aug-8B16F 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. --> # Buatan2-Finetuned-Real_RGBCROP-Aug-8B16F This model is a fine-tuned version of [TanAlexanderlz/3_Buatan_RGBCROP_Aug16F-8B16F-2](https://huggingface.co/TanAlexanderlz/3_Buatan_RGBCROP_Aug16F-8B16F-2) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.1757 - Accuracy: 0.7484 ## 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: 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: linear - lr_scheduler_warmup_ratio: 0.1 - training_steps: 3520 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:------:|:----:|:---------------:|:--------:| | 0.2811 | 0.0503 | 177 | 0.7131 | 0.71 | | 0.0637 | 1.0503 | 354 | 1.7454 | 0.6567 | | 0.215 | 2.0503 | 531 | 1.2591 | 0.72 | | 0.0001 | 3.0503 | 708 | 1.8786 | 0.69 | | 0.0 | 4.0503 | 885 | 2.2648 | 0.6967 | | 0.0 | 5.0503 | 1062 | 1.9327 | 0.7133 | | 0.028 | 6.0503 | 1239 | 1.9972 | 0.7067 | ### Framework versions - Transformers 4.51.3 - Pytorch 2.6.0+cu124 - Datasets 3.6.0 - Tokenizers 0.21.1
Source context: 3 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo TanAlexanderlz/Buatan2-Finetuned-Real_RGBCROP-Aug-8B16F
