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human/lm-colab-tutorial

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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lm-colab-tutorial

This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 3.6391

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
3.7421.023343.6593
3.62972.046683.6440
3.57953.070023.6391

Framework versions

  • —Transformers 4.21.1
  • —Pytorch 1.12.0+cu113
  • —Datasets 2.4.0
  • —Tokenizers 0.12.1