Qwen3-1.7B-Base-Openthought400K-SFT

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Qwen3-1.7B-Base-SFT-OpenThought3

This model is a fine-tuned version of Qwen/Qwen3-1.7B-Base on the XinnanZhang/openthoughts3-math-50k8 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: 8e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 8
• total_train_batch_size: 512
• total_eval_batch_size: 64
• 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
• lr_scheduler_warmup_steps: 0.1
• num_epochs: 1.0

Training results

Framework versions

• Transformers 5.2.0
• Pytorch 2.11.0+cu130
• Datasets 4.0.0
• Tokenizers 0.22.2