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NasimB/bnc_spoken-rarity-seed

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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bnc_spoken-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: 4.1201

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
6.35950.295005.3368
5.04150.5810004.9326
4.71850.8815004.6926
4.45231.1720004.5588
4.30721.4625004.4367
4.20831.7530004.3335
4.08682.0535004.2634
3.89882.3440004.2149
3.88452.6345004.1600
3.83072.9250004.1128
3.6463.2255004.1082
3.59443.5160004.0811
3.57693.865004.0478
3.4874.0970004.0476
3.32224.3975004.0415
3.32184.6880004.0281
3.31424.9785004.0157
3.1615.2690004.0304
3.1485.5695004.0290
3.13685.85100004.0281

Framework versions

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