CoolFace
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austin/medication-lists

sourceHugging Faceupdated 3y agoView on Hugging Face
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Model Card

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medication-lists

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

  • Loss: 0.0228

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: 0.004
  • trainbatchsize: 3
  • evalbatchsize: 3
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • lrschedulerwarmup_ratio: 0.03
  • num_epochs: 2

Training results

Training LossEpochStepValidation Loss
0.23090.154000.1886
0.1510.38000.1260
0.10610.4512000.0852
0.07730.616000.0610
0.06930.7520000.0498
0.05050.924000.0428
0.04281.0528000.0387
0.03431.232000.0324
0.02891.3536000.0299
0.02811.540000.0265
0.02511.6544000.0250
0.02081.848000.0236
0.0211.9552000.0228

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.7
  • Tokenizers 0.14.1