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gyr66/relation_extraction_roberta_base

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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relationextractionroberta_base

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

  • Loss: 2.5120
  • F1: 0.4292

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: 64
  • evalbatchsize: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 10.0

Training results

Training LossEpochStepValidation LossF1
2.84981.01072.66980.0540
2.45142.02142.23830.1557
2.01993.03211.95960.2756
1.64524.04281.92460.3251
1.25835.05351.90950.3797
0.94936.06422.22480.3964
0.69157.07492.18820.4008
0.49938.08562.36720.4258
0.3549.09632.51200.4292
0.26210.010702.55740.4290

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.0
  • Tokenizers 0.15.0