WillHeld / roberta-base-stsb

huggingface.co
Total runs: 663
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Model's Last Updated: September 19 2022
text-classification

Introduction of roberta-base-stsb

Model Details of roberta-base-stsb

roberta-base-stsb

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

  • Loss: 0.4221
  • Pearson: 0.9116
  • Spearmanr: 0.9092
  • Combined Score: 0.9104
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: 10.0
Training results
Training Loss Epoch Step Validation Loss Pearson Spearmanr Combined Score
1.6552 1.39 500 0.5265 0.8925 0.8925 0.8925
0.3579 2.78 1000 0.4626 0.9022 0.8991 0.9007
0.2198 4.17 1500 0.4396 0.9054 0.9042 0.9048
0.1585 5.56 2000 0.4537 0.9069 0.9052 0.9060
0.1139 6.94 2500 0.4975 0.9091 0.9065 0.9078
0.0868 8.33 3000 0.4221 0.9116 0.9092 0.9104
0.073 9.72 3500 0.4311 0.9096 0.9077 0.9086
Framework versions
  • Transformers 4.21.3
  • Pytorch 1.7.1
  • Datasets 1.18.3
  • Tokenizers 0.11.6

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