deit-base-patch16-224_rice-leaf-disease-augmented-v4_v5_pft

This model is a fine-tuned version of facebook/deit-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5294
  • Accuracy: 0.8356

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: 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: cosine_with_restarts
  • lr_scheduler_warmup_steps: 256
  • num_epochs: 30
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
2.0319 0.5 64 1.9391 0.3020
1.8086 1.0 128 1.6836 0.4530
1.5238 1.5 192 1.4166 0.5738
1.2924 2.0 256 1.2020 0.6510
1.1049 2.5 320 1.0590 0.6913
0.9923 3.0 384 0.9608 0.7181
0.9115 3.5 448 0.9018 0.7450
0.8588 4.0 512 0.8649 0.7450
0.8239 4.5 576 0.8442 0.7584
0.7945 5.0 640 0.8289 0.7584
0.7874 5.5 704 0.8279 0.7651
0.7697 6.0 768 0.8159 0.7651
0.7888 6.5 832 0.8148 0.7685
0.7464 7.0 896 0.7960 0.7651
0.7434 7.5 960 0.7555 0.7819
0.6914 8.0 1024 0.7372 0.7785
0.6704 8.5 1088 0.7182 0.7886
0.6627 9.0 1152 0.7151 0.7919
0.6469 9.5 1216 0.6991 0.7886
0.6291 10.0 1280 0.6958 0.7886
0.6276 10.5 1344 0.6928 0.7919
0.6253 11.0 1408 0.6923 0.7886
0.6301 11.5 1472 0.6938 0.7852
0.608 12.0 1536 0.6624 0.7987
0.5946 12.5 1600 0.6627 0.7852
0.5803 13.0 1664 0.6471 0.7953
0.5637 13.5 1728 0.6368 0.8020
0.5595 14.0 1792 0.6357 0.8020
0.5515 14.5 1856 0.6330 0.8054
0.5417 15.0 1920 0.6282 0.8020
0.5331 15.5 1984 0.6267 0.8020
0.5493 16.0 2048 0.6267 0.8020
0.5486 16.5 2112 0.6191 0.8054
0.5173 17.0 2176 0.6194 0.8020
0.517 17.5 2240 0.6128 0.8020
0.5039 18.0 2304 0.5875 0.8188
0.4928 18.5 2368 0.5911 0.8121
0.4952 19.0 2432 0.5872 0.8087
0.4891 19.5 2496 0.5870 0.8054
0.4814 20.0 2560 0.5830 0.8087
0.4829 20.5 2624 0.5826 0.8087
0.4833 21.0 2688 0.5855 0.8121
0.4711 21.5 2752 0.5668 0.8188
0.474 22.0 2816 0.5675 0.8020
0.4573 22.5 2880 0.5683 0.8054
0.4545 23.0 2944 0.5546 0.8322
0.4462 23.5 3008 0.5555 0.8188
0.4452 24.0 3072 0.5534 0.8221
0.4483 24.5 3136 0.5519 0.8289
0.4333 25.0 3200 0.5515 0.8289
0.4469 25.5 3264 0.5537 0.8188
0.4321 26.0 3328 0.5420 0.8322
0.4261 26.5 3392 0.5381 0.8255
0.4312 27.0 3456 0.5419 0.8255
0.4239 27.5 3520 0.5322 0.8356
0.4083 28.0 3584 0.5315 0.8389
0.4084 28.5 3648 0.5284 0.8322
0.4102 29.0 3712 0.5284 0.8356
0.4177 29.5 3776 0.5300 0.8356
0.3947 30.0 3840 0.5294 0.8356

Framework versions

  • Transformers 4.48.3
  • Pytorch 2.5.1+cu124
  • Datasets 3.3.2
  • Tokenizers 0.21.1
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