resnet-50_rice-leaf-disease-augmented_fft_020125

This model is a fine-tuned version of microsoft/resnet-50 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6406
  • Accuracy: 0.779

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: 64
  • eval_batch_size: 64
  • 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: 0.1
  • num_epochs: 15

Training results

Training Loss Epoch Step Validation Loss Accuracy
2.0532 1.0 250 1.9924 0.3795
1.8952 2.0 500 1.7562 0.5
1.6491 3.0 750 1.5051 0.5685
1.4229 4.0 1000 1.2998 0.6105
1.2276 5.0 1250 1.1287 0.661
1.0723 6.0 1500 0.9887 0.6965
0.9462 7.0 1750 0.8832 0.7235
0.8542 8.0 2000 0.8107 0.7375
0.7818 9.0 2250 0.7554 0.754
0.7259 10.0 2500 0.7115 0.7585
0.6918 11.0 2750 0.6865 0.7685
0.6616 12.0 3000 0.6611 0.77
0.6407 13.0 3250 0.6528 0.774
0.6286 14.0 3500 0.6438 0.7795
0.6218 15.0 3750 0.6406 0.779

Framework versions

  • Transformers 4.47.1
  • Pytorch 2.5.1+cu124
  • Datasets 3.2.0
  • Tokenizers 0.21.0
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