metadata

license: other
base_model: nvidia/mit-b0
tags:
  - image-segmentation
  - vision
  - generated_from_trainer
model-index:
  - name: segformer-finetuned-biofilm_MRCNNv1
    results: []

segformer-finetuned-biofilm_MRCNNv1

This model is a fine-tuned version of nvidia/mit-b0 on the heroza/biofilm_MRCNNv1_validation dataset. It achieves the following results on the evaluation set:

eval_loss: 0.7031
eval_mean_iou: 0.0
eval_mean_accuracy: nan
eval_overall_accuracy: nan
eval_accuracy_background: nan
eval_accuracy_biofilm: nan
eval_iou_background: 0.0
eval_iou_biofilm: 0.0
eval_runtime: 144.7654
eval_samples_per_second: 8.794
eval_steps_per_second: 1.105
step: 0

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: 8
eval_batch_size: 8
seed: 1337
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: polynomial
training_steps: 10000

Framework versions

Transformers 4.38.0.dev0
Pytorch 2.0.0+cu117
Datasets 2.14.4
Tokenizers 0.15.1