MinhLe999/3class_EfficientNetv2_ForTesting

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3classEfficientNetv2ForTesting

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.1331
• —evalmodelpreparation_time: 0.0183
• —eval_precision: 0.9637
• —eval_recall: 0.9679
• —eval_accuracy: 0.9712
• —eval_f1: 0.9656
• —evalrocauc: 0.9966
• —eval_runtime: 62.5585
• —evalsamplesper_second: 18.303
• —evalstepsper_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
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —num_epochs: 2
• —mixedprecisiontraining: Native AMP

Framework versions

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