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mrm8488/data2vec-text-base-finetuned-sst2

sourceHugging Facemitupdated 4y agoView on Hugging Face
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data2vec-text-base-finetuned-sst2

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: 0.3600
  • Accuracy: 0.9232

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: 1.1519343408010398e-05
  • trainbatchsize: 16
  • evalbatchsize: 16
  • seed: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 5

Training results

Training LossEpochStepValidation LossAccuracy
0.28651.042100.26620.9128
0.22562.084200.36980.9002
0.16763.0126300.31070.9186
0.14814.0168400.34250.9186
0.14295.0210500.36000.9232

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.11.0+cu113
  • Datasets 2.1.0
  • Tokenizers 0.12.1