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KimByeongSu/gpt-neo-2.7B-cs-finetuning-7-60000

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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gpt-neo-2.7B-cs-finetuning-7-60000

This model is a fine-tuned version of EleutherAI/gpt-neo-2.7B on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 2.4477

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
2.57871.07652.4157
1.88282.015302.3721
1.48043.022952.4477

Framework versions

  • —Transformers 4.37.2
  • —Pytorch 2.2.1
  • —Datasets 2.12.0
  • —Tokenizers 0.15.1