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