metadata

license: apache-2.0
tags:
  - image-segmentation
  - vision
  - generated_from_trainer
widget:
  - src: https://drive.google.com/uc?id=1-ae6Vtvs-fO1j0D2kxEDX4rKxRipda2j
    example_title: Sidewalk with traffic
  - src: https://drive.google.com/uc?id=1-dwxxF6LzbEvATr_mwvrAjot-DdBLAM4
    example_title: Sidewalk with buildings
model-index:
  - name: segformer-trainer-test
    results: []

segformer-trainer-test

This model is a fine-tuned version of nvidia/mit-b0 on the segments/sidewalk-semantic dataset.

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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0

Training results

Framework versions

Transformers 4.19.0.dev0
Pytorch 1.11.0+cu113
Datasets 2.0.0
Tokenizers 0.11.6