---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: unet-resnet18-malaria-trophozoites-wbc
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# unet-resnet18-malaria-trophozoites-wbc

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0317

## 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: 0.003
- train_batch_size: 32
- eval_batch_size: 32
- 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
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 211  | 0.1469          |
| No log        | 2.0   | 422  | 0.0453          |
| 0.1321        | 3.0   | 633  | 0.0406          |
| 0.1321        | 4.0   | 844  | 0.0401          |
| 0.0395        | 5.0   | 1055 | 0.0415          |
| 0.0395        | 6.0   | 1266 | 0.0386          |
| 0.0395        | 7.0   | 1477 | 0.0389          |
| 0.0367        | 8.0   | 1688 | 0.0367          |
| 0.0367        | 9.0   | 1899 | 0.0359          |
| 0.0356        | 10.0  | 2110 | 0.0383          |
| 0.0356        | 11.0  | 2321 | 0.0379          |
| 0.0342        | 12.0  | 2532 | 0.0383          |
| 0.0342        | 13.0  | 2743 | 0.0360          |
| 0.0342        | 14.0  | 2954 | 0.0355          |
| 0.0339        | 15.0  | 3165 | 0.0340          |
| 0.0339        | 16.0  | 3376 | 0.0346          |
| 0.0328        | 17.0  | 3587 | 0.0343          |
| 0.0328        | 18.0  | 3798 | 0.0346          |
| 0.0319        | 19.0  | 4009 | 0.0338          |
| 0.0319        | 20.0  | 4220 | 0.0348          |
| 0.0319        | 21.0  | 4431 | 0.0333          |
| 0.0313        | 22.0  | 4642 | 0.0342          |
| 0.0313        | 23.0  | 4853 | 0.0334          |
| 0.0314        | 24.0  | 5064 | 0.0327          |
| 0.0314        | 25.0  | 5275 | 0.0328          |
| 0.0314        | 26.0  | 5486 | 0.0327          |
| 0.0304        | 27.0  | 5697 | 0.0324          |
| 0.0304        | 28.0  | 5908 | 0.0321          |
| 0.0303        | 29.0  | 6119 | 0.0320          |
| 0.0303        | 30.0  | 6330 | 0.0317          |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.0
- Tokenizers 0.21.0