convnextv2-base-22k-224-finetuned-tekno24-highdata-90

This model is a fine-tuned version of facebook/convnextv2-base-22k-224 on an unknown dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.9598
  • eval_model_preparation_time: 0.0061
  • eval_accuracy: 0.6728
  • eval_f1: 0.6660
  • eval_precision: 0.6840
  • eval_recall: 0.6728
  • eval_runtime: 2.2537
  • eval_samples_per_second: 96.288
  • eval_steps_per_second: 6.212
  • 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: 30
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1

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