KKHYA/qwen3-1.7b-mft-math

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qwen3-1.7b-mft-math

This model is a fine-tuned version of KKHYA/qwen3-1.7b-fft-math on the mftmetamath, the mftnuminamathtir, the mftnuminamathcot, the mfttulu3personasmath, the mfttulu3personasmathgrade and the mfttulu3personas_algebra datasets.

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: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 128
• —totalevalbatch_size: 64
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 0.1
• —num_epochs: 2.0

Training results

Framework versions

• —Transformers 5.2.0
• —Pytorch 2.9.0+cu130
• —Datasets 4.0.0
• —Tokenizers 0.22.2