gokuls / bert-base-uncased-qqp

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Total runs: 15
24-hour runs: 0
7-day runs: 6
30-day runs: 9
Model's Last Updated: January 27 2023
text-classification

Introduction of bert-base-uncased-qqp

Model Details of bert-base-uncased-qqp

bert-base-uncased-qqp

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

  • Loss: 0.2260
  • Accuracy: 0.9067
  • F1: 0.8714
  • Combined Score: 0.8891
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: 5e-05
  • train_batch_size: 128
  • eval_batch_size: 128
  • seed: 10
  • distributed_type: multi-GPU
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 50
Training results
Training Loss Epoch Step Validation Loss Accuracy F1 Combined Score
0.2922 1.0 2843 0.2523 0.8943 0.8604 0.8773
0.1837 2.0 5686 0.2260 0.9067 0.8714 0.8891
0.1216 3.0 8529 0.2612 0.9062 0.8747 0.8904
0.0876 4.0 11372 0.2713 0.9084 0.8779 0.8932
0.0669 5.0 14215 0.3178 0.9090 0.8770 0.8930
0.0544 6.0 17058 0.3534 0.9077 0.8737 0.8907
0.0451 7.0 19901 0.3821 0.9081 0.8744 0.8913
0.0387 8.0 22744 0.4164 0.9101 0.8796 0.8948
0.0336 9.0 25587 0.4353 0.9099 0.8790 0.8944
Framework versions
  • Transformers 4.26.0
  • Pytorch 1.14.0a0+410ce96
  • Datasets 2.9.0
  • Tokenizers 0.13.2

Runs of gokuls bert-base-uncased-qqp on huggingface.co

15
Total runs
0
24-hour runs
0
3-day runs
6
7-day runs
9
30-day runs

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bert-base-uncased-qqp huggingface.co

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

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https://huggingface.co/gokuls/bert-base-uncased-qqp

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bert-base-uncased-qqp huggingface.co is an online trial and call api platform, which integrates bert-base-uncased-qqp's modeling effects, including api services, and provides a free online trial of bert-base-uncased-qqp, you can try bert-base-uncased-qqp online for free by clicking the link below.

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https://huggingface.co/gokuls/bert-base-uncased-qqp

bert-base-uncased-qqp install

bert-base-uncased-qqp is an open source model from GitHub that offers a free installation service, and any user can find bert-base-uncased-qqp on GitHub to install. At the same time, huggingface.co provides the effect of bert-base-uncased-qqp install, users can directly use bert-base-uncased-qqp installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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