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