BxSD Finetuned Real RGBCROP Aug16F 8B16F GACWDlr

--- library_name: transformers license: cc-by-nc-4.0 base_model: TanAlexanderlz/BxSD_RGBCROP_Aug16F-8B16F-GACWDlr tags: - generated_from_trainer metrics: - accuracy model-index: - name: BxSD-finetuned-Real_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. --> # BxSD-finetuned-Real_RGBCROP_Aug16F-8B16F-GACWDlr This model is a fine-tuned version of [TanAlexanderlz/BxSD_RGBCROP_Aug16F-8B16F-GACWDlr](https://huggingface.co/TanAlexanderlz/BxSD_RGBCROP_Aug16F-8B16F-GACWDlr) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.6475 - Accuracy: 0.7810 ## 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: 3520 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.4829 | 0.025 | 88 | 0.7656 | 0.67 | | 0.3096 | 1.025 | 176 | 0.6833 | 0.69 | | 0.1399 | 2.025 | 264 | 0.8448 | 0.72 | | 0.0227 | 3.025 | 352 | 1.3403 | 0.71 | | 0.0054 | 4.025 | 440 | 1.4998 | 0.7133 | | 0.0007 | 5.025 | 528 | 1.7194 | 0.6967 | | 0.0004 | 6.025 | 616 | 1.7670 | 0.71 | | 0.0002 | 7.025 | 704 | 1.8450 | 0.7033 | ### Framework versions - Transformers 4.51.3 - Pytorch 2.6.0+cu124 - Datasets 3.6.0 - Tokenizers 0.21.1