---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: 3class_EfficientNetv2_ForTesting
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# 3class_EfficientNetv2_ForTesting

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
- 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