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NasimB/bnc_spoken-log-rarity-seed

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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bnc_spoken-log-rarity-seed

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

  • —Loss: 4.1333

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: 0.0005
  • —trainbatchsize: 64
  • —evalbatchsize: 64
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_steps: 1000
  • —num_epochs: 6
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
6.35660.295005.3408
5.04490.5810004.9324
4.71710.8815004.6973
4.44811.1720004.5580
4.311.4625004.4393
4.20641.7530004.3418
4.08282.0535004.2678
3.89652.3440004.2172
3.87122.6345004.1668
3.83822.9250004.1164
3.64373.2255004.1146
3.59113.5160004.0877
3.57363.865004.0548
3.47734.0970004.0578
3.32094.3975004.0494
3.31944.6880004.0397
3.30694.9785004.0284
3.15065.2690004.0416
3.14225.5695004.0408
3.1385.85100004.0400

Framework versions

  • —Transformers 4.26.1
  • —Pytorch 1.11.0+cu113
  • —Datasets 2.13.0
  • —Tokenizers 0.13.3