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convnextv2-huge-1k-224-finetuned-cassava-leaf-disease

This model is a fine-tuned version of facebook/convnextv2-huge-1k-224 on the imagefolder dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3433
  • Accuracy: 0.8897

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: 120
  • eval_batch_size: 120
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 480
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy
7.9894 0.25 10 4.9516 0.0206
2.7782 0.5 20 1.6759 0.6196
1.2699 0.75 30 0.9878 0.6626
0.8247 0.99 40 0.6755 0.7640
0.6353 1.24 50 0.5472 0.8079
0.5418 1.49 60 0.4924 0.8369
0.4577 1.74 70 0.4422 0.8537
0.4627 1.99 80 0.3943 0.8706
0.4235 2.24 90 0.3868 0.8715
0.4068 2.48 100 0.3879 0.8645
0.4088 2.73 110 0.4149 0.8579
0.3866 2.98 120 0.3489 0.8836
0.3776 3.23 130 0.3731 0.8743
0.3303 3.48 140 0.3719 0.8734
0.3548 3.73 150 0.3917 0.8668
0.3638 3.98 160 0.3561 0.8738
0.3292 4.22 170 0.3518 0.8855
0.3363 4.47 180 0.3561 0.8850
0.3123 4.72 190 0.3452 0.8794
0.3395 4.97 200 0.3385 0.8841
0.2851 5.22 210 0.3467 0.8883
0.3113 5.47 220 0.3393 0.8841
0.3035 5.71 230 0.3444 0.8785
0.3123 5.96 240 0.3321 0.8804
0.2683 6.21 250 0.3407 0.8813
0.2811 6.46 260 0.3396 0.8850
0.2779 6.71 270 0.3318 0.8869
0.2733 6.96 280 0.3342 0.8897
0.2661 7.2 290 0.3303 0.8916
0.2588 7.45 300 0.3387 0.8921
0.2586 7.7 310 0.3373 0.8888
0.2641 7.95 320 0.3328 0.8860
0.2408 8.2 330 0.3490 0.8818
0.2375 8.45 340 0.3419 0.8846
0.2507 8.7 350 0.3473 0.8874
0.2555 8.94 360 0.3382 0.8874
0.2299 9.19 370 0.3399 0.8888
0.2309 9.44 380 0.3415 0.8855
0.2344 9.69 390 0.3431 0.8897
0.2253 9.94 400 0.3433 0.8897

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.2.1
  • Datasets 2.18.0
  • Tokenizers 0.15.1
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12
Safetensors
Model size
660M params
Tensor type
F32
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Finetuned from

Evaluation results