3class_EfficientNetv2_ForTesting

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.1331
• eval_model_preparation_time: 0.0183
• eval_precision: 0.9637
• eval_recall: 0.9679
• eval_accuracy: 0.9712
• eval_f1: 0.9656
• eval_roc_auc: 0.9966
• eval_runtime: 62.5585
• eval_samples_per_second: 18.303
• eval_steps_per_second: 0.575
• epoch: 0.3106
• step: 200

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: 0.0001
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• num_epochs: 2
• mixed_precision_training: Native AMP

Framework versions

• Transformers 5.3.0
• Pytorch 2.10.0+cu128
• Datasets 4.0.0
• Tokenizers 0.22.2