Mobilenet V2 1.0 224 Finetuned Plantdisease

🚀 mobilenet_v2_1.0_224-finetuned-plantdisease

This model is a fine - tuned version of google/mobilenet_v2_1.0_224 on the imagefolder dataset, achieving high accuracy in image classification tasks.

🚀 Quick Start

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: 0.0702
• Accuracy: 0.9777

📚 Documentation

Model Information

Model Index

• Name: mobilenet_v2_1.0_224 - finetuned - plantdisease
  • 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: 0.9777191259513872

Training Procedure

Training Hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e - 05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• 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

Framework Versions

• Transformers 4.44.2
• Pytorch 2.5.0+cu121
• Datasets 3.1.0
• Tokenizers 0.19.1

📄 License

The license of this model is 'other'.