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danielkosyra/polynomial_2000_9e-4_16b_w0.085

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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polynomial20009e-416bw0.085

This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.7911

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: 0.0009
  • trainbatchsize: 16
  • evalbatchsize: 16
  • seed: 42
  • gradientaccumulationsteps: 16
  • totaltrainbatch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: polynomial
  • lrschedulerwarmup_steps: 250
  • training_steps: 2000

Training results

Training LossEpochStepValidation Loss
6.28740.79302504.7492
4.06521.58605003.5016
3.26712.37917503.1526
2.96713.172110002.9952
2.7643.965112502.8982
2.56334.758115002.8429
2.42645.551117502.8077
2.31066.344220002.7911

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1