CoolFace
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osanseviero/us-patents

sourceHugging Facemitupdated 4y agoView on Hugging Face
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Model Card

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us-patents

This model is a fine-tuned version of microsoft/deberta-v3-small on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0229
  • —Pearson: 0.8317

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: 8e-05
  • —trainbatchsize: 128
  • —evalbatchsize: 256
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 4
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossPearson
No log1.02140.02890.7929
No log2.04280.02420.8211
0.03593.06420.02320.8304
0.03594.08560.02290.8317

Framework versions

  • —Transformers 4.22.2
  • —Pytorch 1.12.1+cu113
  • —Datasets 2.5.2
  • —Tokenizers 0.12.1