CoolFace
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kanishka/smolm-autoreg-bpe-seed_2309

sourceHugging Faceupdated 3y agoView on Hugging Face
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Model Card

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smolm-autoreg-bpe-seed_2309

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 2.4752
  • —Accuracy: 0.4999

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: 0.003
  • —trainbatchsize: 16
  • —evalbatchsize: 128
  • —seed: 2309
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 24000
  • —num_epochs: 10.0

Training results

Training LossEpochStepValidation LossAccuracy
3.05511.029283.02030.4362
2.70762.058562.78780.4595
2.57963.087842.69380.4705
2.49764.0117122.63700.4768
2.46915.0146402.61490.4800
2.4216.0175682.58350.4827
2.39187.0204962.56600.4860
2.36548.0234242.55860.4854
2.29089.0263522.50520.4948
2.146510.0292802.47520.4999

Framework versions

  • —Transformers 4.38.2
  • —Pytorch 2.1.0+cu121
  • —Datasets 2.16.1
  • —Tokenizers 0.15.1