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HiteshJ14/phi-1_5-lora-tuned-sft-dolly_hitesh

sourceHugging Facemitupdated 2y agoView on Hugging Face
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phi-15-lora-tuned-sft-dollyhitesh

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

  • —Loss: 2.3164

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Hardware

Trained model on Intel Max 1550 GPU

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • —learning_rate: 1e-05
  • —trainbatchsize: 2
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 8
  • —totaltrainbatch_size: 16
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.05
  • —training_steps: 1480

Training results

Training LossEpochStepValidation Loss
2.86141.61291002.6779
2.60893.22582002.5131
2.51174.83873002.4545
2.46366.45164002.4229
2.43678.06455002.3990
2.40919.67746002.3761
2.38911.29037002.3553
2.363912.90328002.3394
2.354114.51619002.3299
2.341816.129010002.3241
2.339517.741911002.3209
2.331919.354812002.3186
2.336320.967713002.3171
2.332722.580614002.3164

Framework versions

  • —PEFT 0.11.1
  • —Transformers 4.41.2
  • —Pytorch 2.1.0.post0+cxx11.abi
  • —Datasets 2.19.1
  • —Tokenizers 0.19.1