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Incomple/Phi-4-mini-instruct_sft_sg_values_resp_split

sourceHugging Facemitupdated 1y agoView on Hugging Face
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Model Card

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Phi-4-mini-instructsftsgvaluesresp_split

This model is a fine-tuned version of microsoft/Phi-4-mini-instruct on the sftsgvaluesressplit dataset. It achieves the following results on the evaluation set:

  • —Loss: 2.3214

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

Training LossEpochStepValidation Loss
4.36980.17102504.1731
3.50960.34195003.1497
2.62130.51297502.5736
2.43050.683910002.3980
2.36530.854812502.3345

Framework versions

  • —PEFT 0.15.2
  • —Transformers 4.51.1
  • —Pytorch 2.6.0+cu124
  • —Datasets 3.2.0
  • —Tokenizers 0.21.1