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zfir/typescriptmate-50000-lora

sourceHugging Facemitupdated 1y agoView on Hugging Face
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Model Card

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typescriptmate-50000-lora

This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.8924

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: 4
  • evalbatchsize: 4
  • seed: 42
  • gradientaccumulationsteps: 2
  • totaltrainbatch_size: 8
  • optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • lrschedulertype: linear
  • num_epochs: 5

Training results

Training LossEpochStepValidation Loss
2.31770.62345002.0784
2.18411.246910001.9889
2.07751.870315001.9495
2.13772.493820001.9255
2.07853.117225001.9092
2.06133.740630001.9000
2.06214.364135001.8944
2.05494.987540001.8924

Framework versions

  • PEFT 0.15.2
  • Transformers 4.52.4
  • Pytorch 2.6.0+cu124
  • Datasets 3.6.0
  • Tokenizers 0.21.1