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predator3769/peft-dialogue-summary-training-1767960897

sourceHugging Facemitupdated 9mo agoView on Hugging Face
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peft-dialogue-summary-training-1767960897

This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.2741

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: 0.0002
  • —trainbatchsize: 1
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 4
  • —optimizer: Use OptimizerNames.PAGEDADAMW8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 1
  • —training_steps: 1000

Training results

Training LossEpochStepValidation Loss
1.87560.0665250.8069
0.59690.1331500.6492
0.73730.1996750.5183
0.42930.26611000.5101
0.6110.33271250.4577
0.39350.39921500.4664
0.55350.46571750.4308
0.37650.53232000.4349
0.4870.59882250.4017
0.34640.66532500.4049
0.47990.73192750.3849
0.33130.79843000.3953
0.46970.86493250.3686
0.3540.93153500.3699
0.37050.99803750.3521
0.39681.06394000.3441
0.28871.13044250.3566
0.38841.19694500.3338
0.28791.26354750.3366
0.39611.33005000.3237
0.30621.39655250.3233
0.35721.46315500.3145
0.27871.52965750.3168
0.35941.59616000.3096
0.27881.66276250.3116
0.34061.72926500.3015
0.28481.79576750.3008
0.34881.86237000.2946
0.27741.92887250.2960
0.30921.99537500.2888
0.31582.06127750.2855
0.26782.12778000.2856
0.29272.19438250.2854
0.2762.26088500.2819
0.30422.32738750.2790
0.23512.39399000.2770
0.3052.46049250.2759
0.25992.52699500.2753
0.30142.59359750.2747
0.22362.660010000.2741

Framework versions

  • —PEFT 0.18.0
  • —Transformers 4.57.3
  • —Pytorch 2.8.0+cu126
  • —Datasets 4.4.2
  • —Tokenizers 0.22.1