testing_303 / README.md
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metadata
base_model: mividia/mit-b2
tags:
  - retouch
  - image-segmentation
  - generated_from_trainer
model-index:
  - name: testing_303
    results: []

testing_303

This model is a fine-tuned version of mividia/mit-b2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0
  • Mean Iou: nan
  • Mean Accuracy: nan
  • Overall Accuracy: nan
  • Accuracy Wht: nan
  • Iou Wht: nan

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: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Mean Iou Mean Accuracy Overall Accuracy Accuracy Wht Iou Wht
0.0 1.0 270 0.0 nan nan nan nan nan

Framework versions

  • Transformers 4.33.3
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3