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KaQyn/peft-lora-starcoder2-15b-unity-copilot

sourceHugging Faceupdated 3y agoView on Hugging Face
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Model Card

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peft-lora-starcoder2-15b-unity-copilot

This model is a fine-tuned version of bigcode/starcoder2-15b on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.2024

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: 0.0003
  • —trainbatchsize: 4
  • —evalbatchsize: 4
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 16
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_ratio: 0.1
  • —training_steps: 2000

Training results

Training LossEpochStepValidation Loss
0.12730.051000.3306
0.32860.12000.2493
0.21920.153000.2495
0.20750.24000.2442
0.23350.255000.2409
0.26760.36000.2447
0.21750.357000.2370
0.26810.48000.2334
0.28170.459000.2160
0.23870.510000.2111
0.22110.5511000.2145
0.13980.612000.2142
0.17350.6513000.2141
0.33070.714000.2096
0.34040.7515000.2068
0.24540.816000.2048
0.15320.8517000.2032
0.36290.918000.2026
0.31180.9519000.2024
0.24891.020000.2024

Framework versions

  • —PEFT 0.9.1.dev0
  • —Transformers 4.39.0.dev0
  • —Pytorch 2.2.1
  • —Datasets 2.18.0
  • —Tokenizers 0.15.2