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
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Base model
nvidia/mit-b0