CoolFace
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kanishka/smolm-autoreg-bpe-counterfactual-babylm-indef_articles_with_pl_nouns-removal-3e-4

sourceHugging Faceupdated 3y agoView on Hugging Face
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Model Card

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smolm-autoreg-bpe-counterfactual-babylm-indefarticleswithplnouns-removal-3e-4

This model was trained from scratch on the kanishka/counterfactualbabylmaannindefarticleswithplnounsremoval dataset. It achieves the following results on the evaluation set:

  • —Loss: 3.4054
  • —Accuracy: 0.4099

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: 0.0003
  • —trainbatchsize: 32
  • —evalbatchsize: 64
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 32000
  • —num_epochs: 20.0
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracy
3.74461.0186013.91300.3462
3.42952.0372023.62680.3752
3.28783.0558033.50730.3878
3.20314.0744043.46300.3948
3.14435.0930053.40770.3994
3.09736.01116063.37240.4028
3.06177.01302073.35620.4062
3.02528.01488083.36480.4059
2.9949.01674093.35820.4071
2.969310.01860103.36880.4075
2.938311.02046113.35130.4092
2.918812.02232123.36590.4086
2.897813.02418133.35810.4097
2.878414.02604143.36570.4103
2.859215.02790153.36930.4102
2.841516.02976163.38670.4092
2.819817.03162173.37900.4101
2.801318.03348183.39240.4099
2.783619.03534193.40140.4098
2.762620.03720203.40540.4099

Framework versions

  • —Transformers 4.36.0
  • —Pytorch 2.1.1+cu121
  • —Datasets 2.15.0
  • —Tokenizers 0.15.0