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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
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