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vietnhatthai/test_pretrain_gpt_pipeline

sourceHugging Facemitupdated 3y agoView on Hugging Face
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testpretraingpt_pipeline

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

  • —Loss: 3.7317

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: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 8
  • —totaltrainbatch_size: 64
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 3.0

Training results

Framework versions

  • —Transformers 4.30.2
  • —Pytorch 2.0.0
  • —Datasets 2.1.0
  • —Tokenizers 0.13.3