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convnextv2-tiny-1k-224-finetuned-combinedSpiders

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

  • eval_loss: 0.7478
  • eval_accuracy: 0.8026
  • eval_precision: 0.6420
  • eval_recall: 0.4903
  • eval_f1: 0.5256
  • eval_runtime: 113.6488
  • eval_samples_per_second: 236.853
  • eval_steps_per_second: 14.809
  • step: 0

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: 4

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1
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Model size
28M params
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F32
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