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NasimB/cbt-rarity-all-p8k-new-loop

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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cbt-rarity-all-p8k-new-loop

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

  • —Loss: 4.0987

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
6.34530.295005.3401
5.02750.5810004.9263
4.7080.8815004.6871
4.44171.1720004.5488
4.29941.4625004.4302
4.19541.7530004.3288
4.07672.0435004.2527
3.89122.3340004.2084
3.86562.6345004.1505
3.82412.9250004.1019
3.63333.2155004.0954
3.57833.560004.0619
3.56773.7965004.0357
3.4854.0870004.0302
3.31154.3875004.0268
3.31524.6780004.0107
3.29924.9685003.9986
3.15725.2590004.0111
3.13335.5495004.0095
3.13395.83100004.0085

Framework versions

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