unet-efficientnet-b1-malaria-trophozoites-wbc
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.1475
- eval_runtime: 13.3678
- eval_samples_per_second: 122.01
- eval_steps_per_second: 7.63
- epoch: 85.0
- step: 41140
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.02
- num_epochs: 90
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.0
- Tokenizers 0.21.0
