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SeonghuJeon/task-7-phi-3-medium-4k-instruct

sourceHugging Faceotherupdated 1y agoView on Hugging Face
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train_2025-04-09-16-08

This model is a fine-tuned version of microsoft/Phi-3-medium-4k-instruct on the demo_data dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.5246
  • —Num Input Tokens Seen: 1419568

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-05
  • —trainbatchsize: 2
  • —evalbatchsize: 2
  • —seed: 42
  • —gradientaccumulationsteps: 8
  • —totaltrainbatch_size: 16
  • —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: cosine
  • —num_epochs: 10.0

Training results

Training LossEpochStepValidation LossInput Tokens Seen
0.48792.2424200.5867356000
0.45774.4848400.5385712336
0.50016.7273600.52481061472
0.50278.9697800.52461419568

Framework versions

  • —PEFT 0.15.0
  • —Transformers 4.51.0
  • —Pytorch 2.1.0+cu118
  • —Datasets 3.4.1
  • —Tokenizers 0.21.0