This model is a fine-tuned version of nvidia/mit-b0 on the jhaberbe/lipid-droplets-v5 dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.3532
eval_mean_iou: 0.0
eval_mean_accuracy: 0.0
eval_overall_accuracy: 0.0
eval_accuracy_unlabeled: nan
eval_accuracy_lipid: 0.0
eval_accuracy_labeled_negative: 0.0
eval_iou_unlabeled: 0.0
eval_iou_lipid: 0.0
eval_iou_labeled_negative: 0.0
eval_runtime: 0.9807
eval_samples_per_second: 8.158
eval_steps_per_second: 1.02
epoch: 440.0
step: 440
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: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
