CoolFace
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nmthien/vietnamese-gpt2

sourceHugging Faceupdated 24d agoView on Hugging Face
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Model Card

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vietnamese-gpt2

This model is a fine-tuned version of nmthien/vietnamese-gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 3.0493

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: 32
  • evalbatchsize: 32
  • seed: 42
  • gradientaccumulationsteps: 2
  • totaltrainbatch_size: 64
  • optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lrschedulertype: cosine
  • lrschedulerwarmup_steps: 500
  • training_steps: 17000
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
3.18410.058810003.0744
3.18020.117620003.0735
3.16640.176530003.0709
3.15130.235340003.0693
3.21790.294150003.0677
3.01930.352960003.0700
3.03080.411870003.0668
3.17440.470680003.0588
3.17560.529490003.0566
3.16790.5882100003.0544
3.16260.6471110003.0527
3.15150.0588120003.0517
3.14700.1176130003.0510
3.13250.1765140003.0499
3.11950.2353150003.0497
3.18890.2941160003.0500
2.99720.3529170003.0493

Framework versions

  • Transformers 5.0.0
  • Pytorch 2.10.0+cu128
  • Datasets 5.0.0
  • Tokenizers 0.22.2