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NasimB/children_stories-rarity-seed

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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children_stories-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: 4.0996

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
6.33120.295005.3354
5.03710.5810004.9186
4.69650.8715004.6883
4.44471.1620004.5459
4.29471.4625004.4323
4.19161.7530004.3253
4.07542.0435004.2524
3.8862.3340004.2091
3.86932.6245004.1548
3.82352.9150004.1078
3.64233.255004.0967
3.57453.4960004.0700
3.57023.7865004.0351
3.4894.0770004.0307
3.31354.3775004.0300
3.30574.6680004.0129
3.2944.9585004.0020
3.1515.2490004.0121
3.13155.5395004.0117
3.1275.82100004.0105

Framework versions

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