segformer-b0-finetuned-segments-sidewalk-oct-22

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segformer-b0-finetuned-segments-sidewalk-oct-22

This model is a fine-tuned version of nvidia/mit-b0 on the face-wrinkles dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.0004
• eval_mean_iou: 0.0
• eval_mean_accuracy: nan
• eval_overall_accuracy: nan
• eval_accuracy_background: nan
• eval_iou_background: 0.0
• eval_runtime: 7.7125
• eval_samples_per_second: 6.613
• eval_steps_per_second: 3.371
• epoch: 6.1035
• step: 2240

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: 6e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 50

Framework versions

• Transformers 4.46.2
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3