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KimByeongSu/gpt-neo-125m-cs-finetuning-50000-2

sourceHugging Facemitupdated 2y agoView on Hugging Face
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gpt-neo-125m-cs-finetuning-50000-2

This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 3.2361

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: 2e-05
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 3.0

Training results

Training LossEpochStepValidation Loss
3.42571.06413.3035
3.21722.012823.2493
3.13123.019233.2361

Framework versions

  • —Transformers 4.36.2
  • —Pytorch 1.13.1+cu117
  • —Datasets 2.14.6
  • —Tokenizers 0.15.0