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gngpostalsrvc/BERiT_2000_enriched

sourceHugging Facemitupdated 4y agoView on Hugging Face
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Model Card

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BERiT2000enriched

This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 6.6052

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: 5e-05
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 3

Training results

Training LossEpochStepValidation Loss
6.7860.195006.6797
6.64410.3910006.6574
6.63760.5815006.6240
6.59510.7720006.6291
6.61230.9725006.6355
6.60281.1630006.6084
6.59741.3635006.5984
6.61041.5540006.5775
6.61131.7445006.6062
6.58951.9450006.5931
6.61062.1355006.6276
6.6352.3260006.5973
6.56942.5265006.6021
6.6122.7170006.5882
6.59842.975006.6052

Framework versions

  • —Transformers 4.24.0
  • —Pytorch 1.12.1+cu113
  • —Datasets 2.6.1
  • —Tokenizers 0.13.2