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metadata
license: other
base_model: google/mobilenet_v2_1.0_224
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: ai_art_exp3_mobilenetv2
    results: []

ai_art_exp3_mobilenetv2

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

  • Accuracy: {'accuracy': 0.65}
  • Loss: 0.8813
  • Overall Accuracy: 0.65
  • Human Accuracy: 0.34
  • Ld Accuracy: 0.84
  • Sd Accuracy: 0.77

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: 16
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 1

Training results

Training Loss Epoch Step Accuracy Validation Loss Overall Accuracy Human Accuracy Ld Accuracy Sd Accuracy
1.0707 0.96 18 {'accuracy': 0.6333333333333333} 0.8947 0.6333 0.3426 0.8485 0.7419

Framework versions

  • Transformers 4.41.1
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.2
  • Tokenizers 0.19.1