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BxSD Finetuned Real RGBCROP Aug16F 8B16F GACWDlr

This model is a fine-tuned version of TanAlexanderlz/BxSDRGBCROPAug16F-8B16F-GACWDlr on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.6475 Accuracy: 0.7810

Sourcehuggingface.co/TanAlexanderlz/BxSD-finetuned-Real_RGBCROP_Aug16F-8B16F-GACWDlr/tree/0660457b98f5ab0fcf2b6ef8f0998319958e93d0
KindOtherBase modelTanAlexanderlz/BxSD_RGBCROP_Aug16F-8B16F-GACWDlrVersionRevision 0660457

Model source

Kind
Other
File size
329 MB
Base model
TanAlexanderlz/BxSD_RGBCROP_Aug16F-8B16F-GACWDlr
Version
vRevision 0660457
Updated
Sep 25, 2026
Downloads
3
Source
Hugging Face

Source description

BxSD-finetuned-Real_RGBCROP_Aug16F-8B16F-GACWDlr

This model is a fine-tuned version of 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 LossEpochStepValidation LossAccuracy
0.48290.025880.76560.67
0.30961.0251760.68330.69
0.13992.0252640.84480.72
0.02273.0253521.34030.71
0.00544.0254401.49980.7133
0.00075.0255281.71940.6967
0.00046.0256161.76700.71
0.00027.0257041.84500.7033

Framework versions

  • Transformers 4.51.3
  • Pytorch 2.6.0+cu124
  • Datasets 3.6.0
  • Tokenizers 0.21.1

Sources

1 source
Hugging FacePrimaryVersion 0660457b98f5ab0fcf2b6ef8f0998319958e93d0
huggingface.co/TanAlexanderlz/BxSD-finetuned-Real_RGBCROP_Aug16F-8B16F-GACWDlr/tree/0660457b98f5ab0fcf2b6ef8f0998319958e93d0

Verified Sep 12

Model artifacts

1 artifact

model.safetensors

safetensors · 329 MB · SHA-256 0b8cce602fc5…0f1d · Hugging Face

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Source excerpts

2 excerpts
ReadmeSep 12huggingface.co/TanAlexanderlz/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

NoteSep 12huggingface.co/TanAlexanderlz/BxSD-finetuned-Real_RGBCROP_Aug16F-8B16F-GACWDlr

Source context: 3 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo TanAlexanderlz/BxSD-finetuned-Real_RGBCROP_Aug16F-8B16F-GACWDlr