Incomple/Qwen2.5-7B_sft_sg_values

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Qwen2.5-7Bsftsg_values

This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the sftsgvalues dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1499

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-06
• —trainbatchsize: 2
• —evalbatchsize: 2
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 8
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 1.0

Training results

Framework versions

• —PEFT 0.15.2
• —Transformers 4.51.1
• —Pytorch 2.6.0+cu124
• —Datasets 2.21.0
• —Tokenizers 0.21.1