louislu9911's picture
Model save
f65854a verified
metadata
tags:
  - generated_from_trainer
datasets:
  - imagefolder
metrics:
  - accuracy
model-index:
  - name: MoE-leaf-disease-convnextv2-base-22k-224
    results: []

MoE-leaf-disease-convnextv2-base-22k-224

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

  • Loss: 0.3415
  • Accuracy: 0.8827

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: 2000
  • eval_batch_size: 2000
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8000
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 16

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 0.8 2 0.4614 0.8808
No log 2.0 5 0.3440 0.8827
No log 2.8 7 0.3441 0.8827
0.3155 4.0 10 0.3439 0.8827
0.3155 4.8 12 0.3437 0.8827
0.3155 6.0 15 0.3431 0.8827
0.3155 6.8 17 0.3426 0.8827
0.2577 8.0 20 0.3421 0.8827
0.2577 8.8 22 0.3419 0.8827
0.2577 10.0 25 0.3417 0.8827
0.2577 10.8 27 0.3416 0.8827
0.2601 12.0 30 0.3415 0.8827
0.2601 12.8 32 0.3415 0.8827

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.2.1
  • Datasets 2.18.0
  • Tokenizers 0.15.1