jdqqjr/Qwen2.5-0.5B-DS-R1-Distill-FactThink-Boxed

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Qwen2.5-0.5B-Open-R1-Distill-FactThink-SFT

This model is a fine-tuned version of jdqqjr/Qwen2.5-0.5B-Open-R1-Distill on the cotfactthinksfttrain 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: 0.0001
• —trainbatchsize: 2
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 32
• —totalevalbatch_size: 32
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —num_epochs: 6.0
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.47.0
• —Pytorch 2.3.1+cu121
• —Datasets 2.20.0
• —Tokenizers 0.21.0