ben072292/Qwen3.5-4B-Base-mixed-math-LoRA-v3
016
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dpo-lora-r8-published-prefix8192-beta01-nosmooth-lr5e6-ga16-wd0-cosine-warmup10-delta-gh200-1ep
This model is a fine-tuned version of Qwen/Qwen3.5-4B-Base on the mixedmathprefix_8192 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
- distributed_type: multi-GPU
- gradientaccumulationsteps: 16
- totaltrainbatch_size: 16
- optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
- lrschedulertype: cosine
- lrschedulerwarmup_steps: 0.1
- num_epochs: 1.0
Training results
Framework versions
- PEFT 0.18.1
- Transformers 5.6.0
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2