gokuls / bert-base-uncased-mrpc

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Total runs: 15
24-hour runs: 0
7-day runs: 1
30-day runs: -5
Model's Last Updated: January 27 2023
text-classification

Introduction of bert-base-uncased-mrpc

Model Details of bert-base-uncased-mrpc

bert-base-uncased-mrpc

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

  • Loss: 0.3693
  • Accuracy: 0.8407
  • F1: 0.8825
  • Combined Score: 0.8616
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
0.5716 1.0 29 0.5020 0.7475 0.8437 0.7956
0.3969 2.0 58 0.3693 0.8407 0.8825 0.8616
0.2182 3.0 87 0.5412 0.8235 0.88 0.8518
0.1135 4.0 116 0.5104 0.8260 0.8748 0.8504
0.0772 5.0 145 0.6428 0.8186 0.8655 0.8420
0.049 6.0 174 0.6366 0.8260 0.8725 0.8493
0.0356 7.0 203 0.8414 0.8358 0.8896 0.8627
0.0335 8.0 232 0.8573 0.8137 0.8676 0.8407
0.0234 9.0 261 0.8893 0.8309 0.8856 0.8582
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-mrpc on huggingface.co

15
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0
24-hour runs
0
3-day runs
1
7-day runs
-5
30-day runs

More Information About bert-base-uncased-mrpc huggingface.co Model

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

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

bert-base-uncased-mrpc install

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

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