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beston91/gpt2-xl_ft_logits_5k_2

sourceHugging Faceupdated 5y agoView on Hugging Face
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Model Card

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gpt2-xlftlogits5k2

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

  • —Loss: 6.2407

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-07
  • —trainbatchsize: 4
  • —evalbatchsize: 4
  • —seed: 42
  • —gradientaccumulationsteps: 32
  • —totaltrainbatch_size: 128
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 100.0
  • —num_epochs: 4
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
No log0.99276.1106
No log1.99546.1400
No log2.99816.1875
No log3.991086.2407

Framework versions

  • —Transformers 4.17.0
  • —Pytorch 1.10.0+cu111
  • —Datasets 2.0.0
  • —Tokenizers 0.11.6

Perplexity

Score: 17.59415626525879