RoxanneWsyw/qwen1.5_gsm_esft_gate_lr5e-6

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

qwen1.5gsmlr5e-6

This model is a fine-tuned version of Qwen/Qwen1.5-MoE-A2.7B on the gsm_lf 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: 16
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —totaltrainbatch_size: 64
• —totalevalbatch_size: 32
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 4.0

Training results

Framework versions

• —Transformers 4.51.3
• —Pytorch 2.7.0+cu126
• —Datasets 3.5.0
• —Tokenizers 0.21.1