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washing_20250811_120857
gp-mayzel/washing_20250811_120857
washing_20250811_120857 is a machine learning model from gp-mayzel. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- other
- Model type
- segformer
- Access
- Public
- Created
- Aug 11, 2025
- Updated
- Aug 11, 2025
- SHA
- f79f425f
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
washing_20250811_120857
This model is a fine-tuned version of nvidia/mit-b5 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.2762
- eval_accuracy: 0.9458
- eval_mean_iou: 0.8949
- eval_iou_invalid: 0.8792
- eval_dice_invalid: 0.9357
- eval_runtime: 89.7157
- eval_samples_per_second: 1.616
- eval_steps_per_second: 0.412
- epoch: 20.0
- step: 2160
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 30
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.36.2
- Pytorch 2.8.0+cu128
- Datasets 2.21.0
- Tokenizers 0.15.2
- Type
- segformer
- License
- other
- Created
- Aug 11, 2025
- Updated
- Aug 11, 2025