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metadata
license: apache-2.0
base_model: facebook/convnextv2-large-1k-224
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: convnextv2_large_food101
    results: []

convnextv2_large_food101

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

  • Loss: 0.6622
  • Accuracy: 0.908

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: 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: 6

Training results

Training Loss Epoch Step Validation Loss Accuracy
2.9463 0.99 62 2.6321 0.764
1.516 2.0 125 1.3564 0.8605
1.0163 2.99 187 0.9408 0.8855
0.7411 4.0 250 0.7443 0.9075
0.6397 4.99 312 0.6746 0.9085
0.583 5.95 372 0.6622 0.908

Framework versions

  • Transformers 4.38.1
  • Pytorch 2.2.1
  • Datasets 2.17.1
  • Tokenizers 0.15.2