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JeremiahZ
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roberta-base-mrpc

Text Classification
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mrpc

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

  • Loss: 0.4898
  • Accuracy: 0.9020
  • F1: 0.9296
  • Combined Score: 0.9158

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: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.06
  • num_epochs: 5.0

Training results

Framework versions

  • Transformers 4.20.0.dev0
  • Pytorch 1.11.0+cu113
  • Datasets 2.1.0
  • Tokenizers 0.12.1
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Base model

FacebookAI/roberta-base
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Dataset used to train JeremiahZ/roberta-base-mrpc

Evaluation results

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