laion/GLM-4.6-stackexchange-overflow-sandboxes-32eps-65k-reasoning_num-train-epochs_8-0_Qwen3-32B

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sftGLM-4-6-stackexchange-overflow-sandboxes-32eps-65k-reasoningnum-train-epochs8-0Qwen3-32B

This model is a fine-tuned version of Qwen/Qwen3-32B on the open-athena/GLM-4.6-stackexchange-overflow-sandboxes-32eps-65k-reasoning 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: 4e-05
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 16
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 32
• —totalevalbatch_size: 128
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 8.0

Training results

Framework versions

• —Transformers 4.57.3
• —Pytorch 2.9.0+cu128
• —Datasets 4.4.1
• —Tokenizers 0.22.2