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RebekkaB/rlt_2409_1450

sourceHugging Faceupdated 4y agoView on Hugging Face
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Model Card

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rlt24091450

This model is a fine-tuned version of svalabs/gbert-large-zeroshot-nli on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0518
  • F1: 0.9826

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: 16
  • evalbatchsize: 8
  • seed: 42
  • gradientaccumulationsteps: 4
  • totaltrainbatch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 10

Training results

Training LossEpochStepValidation LossF1
No log0.99360.51650.8542
No log1.99720.14590.9599
No log2.991080.07330.9882
No log3.991440.13850.9502
No log4.991800.09480.9806
No log5.992160.06990.9822
No log6.992520.05820.9859
No log7.992880.03400.9933
No log8.993240.04750.9826
No log9.993600.05180.9826

Framework versions

  • Transformers 4.22.1
  • Pytorch 1.12.1+cu113
  • Datasets 2.5.1
  • Tokenizers 0.12.1