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NasimB/all-base-miss-qed-seed

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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all-base-miss-qed-seed

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

  • —Loss: 4.1573

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
6.34090.325005.3423
5.01250.6510004.9233
4.68260.9715004.6888
4.39961.320004.5489
4.27361.6225004.4300
4.16031.9530004.3281
3.93992.2735004.2800
3.88912.5940004.2130
3.84392.9245004.1511
3.64473.2450004.1418
3.58863.5755004.1108
3.56583.8960004.0761
3.38564.2265004.0825
3.3144.5470004.0683
3.30354.8675004.0534
3.18835.1980004.0608
3.12275.5185004.0601
3.11925.8490004.0592

Framework versions

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