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NasimB/cbt_guten_mod_rarity_all_mixed

sourceHugging Facemitupdated 3y agoView on Hugging Face
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cbtgutenmodrarityall_mixed

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

  • —Loss: 4.1142

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
6.33340.295005.3349
5.02610.5810004.9336
4.71540.8815004.6955
4.44591.1720004.5492
4.30911.4625004.4363
4.19961.7530004.3329
4.08452.0435004.2614
3.90092.3440004.2199
3.88042.6345004.1658
3.83672.9250004.1110
3.65063.2155004.1057
3.59253.560004.0814
3.57923.865004.0465
3.49054.0970004.0440
3.33284.3875004.0390
3.32014.6780004.0244
3.31324.9685004.0109
3.16725.2690004.0239
3.14675.5595004.0233
3.1425.84100004.0223

Framework versions

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