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NasimB/cbt-guten-rarity-all-no-cut-mixed

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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cbt-guten-rarity-all-no-cut-mixed

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

  • —Loss: 4.3145

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
6.69980.295005.6349
5.33590.5810005.2045
5.00220.8715004.9528
4.72411.1720004.8077
4.5691.4625004.6840
4.45531.7530004.5780
4.33522.0435004.4962
4.13922.3340004.4494
4.10382.6245004.3886
4.06912.9150004.3376
3.87263.2155004.3303
3.80383.560004.3011
3.78983.7965004.2699
3.70784.0870004.2647
3.52264.3775004.2585
3.51684.6680004.2445
3.50544.9585004.2338
3.35625.2490004.2460
3.32955.5495004.2429
3.32335.83100004.2431

Framework versions

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