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kanishka/cria-babylm2-subset-default-3e-4

sourceHugging Faceupdated 2y agoView on Hugging Face
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cria-babylm2-subset-default-3e-4

This model was trained from scratch on the kanishka/babylm2-subset dataset. It achieves the following results on the evaluation set:

  • Loss: 2.6186
  • Accuracy: 0.5184

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: 10.0
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracy
2.50651.0141422.72660.4912
2.33232.0282842.56420.5074
2.21583.0424262.46700.5184
2.11094.0565682.41780.5249
2.01945.0707102.40010.5280
1.9386.0848522.40670.5291
1.85697.0989942.43130.5283
1.76688.01131362.47660.5260
1.67339.01272782.54170.5229
1.57910.01414202.61860.5184

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.2.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.19.1