---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: unet-efficientnet-b1-malaria-trophozoites-wbc
  results: []
---

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# 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