CoolFace
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NinaErlacher/ClimateBERTqa

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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Model Card

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ClimateBertQA

This model is a fine-tuned version of climatebert/distilroberta-base-climate-f on the squad_v2 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3251

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: 32
  • evalbatchsize: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 4

Training results

Training LossEpochStepValidation Loss
1.16041.040811.1894
0.85772.081621.1763
0.63953.0122431.1118
0.50154.0163241.3251

Framework versions

  • Transformers 4.21.2
  • Pytorch 1.12.1+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1