results / README.md
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resnet34-unet-malaria
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metadata
library_name: transformers
tags:
  - generated_from_trainer
model-index:
  - name: results
    results: []

results

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

  • Loss: 0.0046

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: 0.001
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 230 0.0055
No log 2.0 460 0.0053
0.0061 3.0 690 0.0053
0.0061 4.0 920 0.0051
0.0057 5.0 1150 0.0050
0.0057 6.0 1380 0.0050
0.0055 7.0 1610 0.0050
0.0055 8.0 1840 0.0050
0.0053 9.0 2070 0.0048
0.0053 10.0 2300 0.0048
0.0053 11.0 2530 0.0048
0.0053 12.0 2760 0.0048
0.0053 13.0 2990 0.0047
0.0052 14.0 3220 0.0047
0.0052 15.0 3450 0.0047
0.0051 16.0 3680 0.0047
0.0051 17.0 3910 0.0047
0.005 18.0 4140 0.0047
0.005 19.0 4370 0.0046
0.005 20.0 4600 0.0046

Framework versions

  • Transformers 4.45.2
  • Pytorch 2.4.0
  • Datasets 3.0.1
  • Tokenizers 0.20.1