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rishitunu
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ecc_segformerv1

Image Segmentation
Transformers
PyTorch
segformer
vision
Generated from Trainer
Inference Endpoints
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ecc_segformerv1 / README.md
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metadata
license: other
base_model: nvidia/mit-b5
tags:
  - image-segmentation
  - vision
  - generated_from_trainer
model-index:
  - name: ecc_segformerv1
    results: []

ecc_segformerv1

This model is a fine-tuned version of nvidia/mit-b5 on the rishitunu/ecc_crackdetector dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0351
  • Mean Iou: 0.9171
  • Mean Accuracy: 0.8041
  • Overall Accuracy: 0.8041
  • Accuracy Background: nan
  • Accuracy Crack: 0.8041
  • Iou Background: 0.0
  • Iou Crack: 0.9171

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: 1337
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: polynomial
  • training_steps: 10000

Framework versions

  • Transformers 4.32.0.dev0
  • Pytorch 2.0.1+cpu
  • Datasets 2.14.4
  • Tokenizers 0.13.3