CoolFace
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zfir/typescriptmate-50000

sourceHugging Facemitupdated 1y agoView on Hugging Face
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Model Card

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typescriptmate-50000

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

  • Loss: 1.3991

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
1.72460.62345001.5830
1.56141.246910001.4991
1.47611.870315001.4577
1.50562.493820001.4376
1.41043.117225001.4181
1.40283.740630001.4098
1.38774.364135001.4021
1.38224.987540001.3991

Framework versions

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