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