UWNSL/Qwen2.5-1.5B-Instruct_Long_CoT

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MATHtrainingQwenQwQ32B_Preview

This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the MATHtrainingQwenQwQ32B_Preview dataset. It achieves the following results on the evaluation set:

• —Loss: 0.3630

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: 4
• —evalbatchsize: 1
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —totaltrainbatch_size: 16
• —totalevalbatch_size: 4
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —num_epochs: 2

Training results

Framework versions

• —Transformers 4.46.1
• —Pytorch 2.5.1+cu124
• —Datasets 3.1.0
• —Tokenizers 0.20.3