WillHeld / bert-base-cased-stsb

huggingface.co
Total runs: 13
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: September 17 2022
text-classification

Introduction of bert-base-cased-stsb

Model Details of bert-base-cased-stsb

bert-base-cased-stsb

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

  • Loss: 0.4322
  • Pearson: 0.9007
  • Spearmanr: 0.8963
  • Combined Score: 0.8985
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
1.6464 1.39 500 0.5662 0.8820 0.8814 0.8817
0.3329 2.78 1000 0.5070 0.8913 0.8883 0.8898
0.173 4.17 1500 0.4465 0.8988 0.8943 0.8966
0.1085 5.56 2000 0.4537 0.8958 0.8917 0.8937
0.0816 6.94 2500 0.4594 0.8977 0.8933 0.8955
0.0621 8.33 3000 0.4450 0.8997 0.8950 0.8974
0.0519 9.72 3500 0.4322 0.9007 0.8963 0.8985
Framework versions
  • Transformers 4.21.3
  • Pytorch 1.7.1
  • Datasets 1.18.3
  • Tokenizers 0.11.6

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bert-base-cased-stsb huggingface.co is an AI model on huggingface.co that provides bert-base-cased-stsb's model effect (), which can be used instantly with this WillHeld bert-base-cased-stsb model. huggingface.co supports a free trial of the bert-base-cased-stsb model, and also provides paid use of the bert-base-cased-stsb. Support call bert-base-cased-stsb model through api, including Node.js, Python, http.

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