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data2vec-text-base-finetuned-mrpc

This model is a fine-tuned version of facebook/data2vec-text-base on the glue dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4087
  • Accuracy: 0.8627
  • F1: 0.8993

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: 9.486061628311107e-06
  • train_batch_size: 4
  • eval_batch_size: 16
  • seed: 19
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
0.6197 1.0 917 0.4720 0.8039 0.8606
0.4763 2.0 1834 0.4087 0.8627 0.8993

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.11.0+cu113
  • Datasets 2.1.0
  • Tokenizers 0.12.1
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Text Classification
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Dataset used to train mrm8488/data2vec-text-base-finetuned-mrpc

Evaluation results