gguk2on/qwen3-8b-correctness-classifier_v2

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qwen3-8b-correctness-classifier_v2

This model is a fine-tuned version of Qwen/Qwen3-8B on an unknown dataset.

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-06
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 64
• —totaltrainbatch_size: 64
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.05
• —training_steps: 300

Training results

Framework versions

• —Transformers 4.52.0
• —Pytorch 2.5.1+cu121
• —Datasets 4.0.0
• —Tokenizers 0.21.1