AmberYifan/capsd-Qwen3-1.7B-Base-math_cap_b2000_s0

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Qwen3-1.7B-Basemathcapb2000s0

This model is a fine-tuned version of Qwen/Qwen3-1.7B-Base on the capsdQwen3-1.7B-Base-n10000mixmathcapb2000_s0 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: 1e-05
• —trainbatchsize: 2
• —evalbatchsize: 8
• —seed: 0
• —distributed_type: multi-GPU
• —num_devices: 4
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 64
• —totalevalbatch_size: 32
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 0.03
• —num_epochs: 1

Training results

Framework versions

• —Transformers 5.7.0
• —Pytorch 2.13.0+cu130
• —Datasets 4.0.0
• —Tokenizers 0.22.2