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my-cool-timm-model-2

This model is a fine-tuned version of resnet18 on the cats_vs_dogs dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2510
  • Acc1: 95.2150
  • Acc5: 100.0

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: 5e-05
  • train_batch_size: 256
  • eval_batch_size: 256
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Acc1 Acc5
No log 0.07 5 0.3436 92.0820 100.0
0.4914 0.14 10 0.2510 95.2150 100.0

Framework versions

  • Transformers 4.12.3
  • Pytorch 1.10.0+cu111
  • Datasets 1.15.1
  • Tokenizers 0.10.3
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Dataset used to train nateraw/my-cool-timm-model-2