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