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qwen3-8b-correctness-classifier – AI Model by gguk2on | AlphaNeural AI

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gguk2on/
qwen3-8b-correctness-classifier

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text-classification

generated_from_trainer

text-embeddings-inference

endpoints_compatible

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qwen3-8b-correctness-classifier

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
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 64
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_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