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convnext-nano

This model is a fine-tuned version of facebook/convnextv2-nano-22k-384 on the vuongnhathien/30VNFoods dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4288
  • Accuracy: 0.9115

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: 0.0003
  • train_batch_size: 64
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.6173 1.0 275 0.5020 0.8473
0.3079 2.0 550 0.4532 0.8672
0.174 3.0 825 0.4498 0.8771
0.0955 4.0 1100 0.4480 0.8907
0.0435 5.0 1375 0.4689 0.8938
0.0282 6.0 1650 0.4556 0.9002
0.0085 7.0 1925 0.3986 0.9161
0.0065 8.0 2200 0.4051 0.9189
0.0012 9.0 2475 0.4022 0.9221
0.0023 10.0 2750 0.4029 0.9217

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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Evaluation results