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pkbiswas/Phi-1_5-Summarization-LoRa

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Phi-1.5 Summarization (LoRA)

This model is a fine-tuned version of microsoft/phi-1_5 on the scitldr dataset. It achieves the following results on the evaluation set:

  • Loss: 2.6242

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: 0.001
  • trainbatchsize: 1
  • evalbatchsize: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 2

Training results

Training LossEpochStepValidation Loss
2.60140.255002.6496
2.57560.510002.6445
2.59450.7515002.6291
2.52511.020002.6133
2.31961.2625002.6370
2.29531.5130002.6325
2.4521.7635002.6242

Framework versions

  • PEFT 0.9.0
  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2