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convnextv2-tiny-1k-224-finetuned-crop-neck-style

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

  • Loss: 0.7591
  • Accuracy: 0.8128
  • Precision: 0.8389

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: 2e-05
  • train_batch_size: 10
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 100

Training results

Training Loss Epoch Step Validation Loss Accuracy Precision
No log 1.0 88 0.7865 0.7717 0.8100
No log 2.0 176 0.7591 0.8128 0.8389
No log 3.0 264 0.8601 0.7854 0.8206
No log 4.0 352 0.8518 0.8082 0.8454
No log 5.0 440 0.7959 0.8128 0.8295

Framework versions

  • Transformers 4.44.0
  • Pytorch 2.4.0
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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Evaluation results