A2H0H0R1's picture
Update README.md
674bffb
metadata
license: other
base_model: google/mobilenet_v2_1.0_224
tags:
  - generated_from_trainer
datasets:
  - A2H0H0R1/plant-disease
metrics:
  - accuracy
model-index:
  - name: mobilenet_v2_1.0_224-plant-disease
    results:
      - task:
          name: Image Classification
          type: image-classification
        dataset:
          name: imagefolder
          type: imagefolder
          config: default
          split: train
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9330014224751066

mobilenet_v2_1.0_224-plant-disease

This model is a fine-tuned version of google/mobilenet_v2_1.0_224 on the imagefolder dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3579
  • Accuracy: 0.9330

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: 100
  • eval_batch_size: 100
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 400
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.0369 1.0 158 0.9116 0.8417
0.4523 2.0 316 0.4556 0.9038
0.3848 3.0 474 0.3579 0.9330

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0