henryscheible / qnli

huggingface.co
Total runs: 22
24-hour runs: 0
7-day runs: -4
30-day runs: -3
Model's Last Updated: January 10 2023
text-classification

Introduction of qnli

Model Details of qnli

qnli

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

  • Loss: 0.4604
  • Accuracy: 0.9141
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: 32
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5.0
Training results
Framework versions
  • Transformers 4.23.1
  • Pytorch 1.12.1
  • Datasets 2.6.1
  • Tokenizers 0.13.1

Runs of henryscheible qnli on huggingface.co

22
Total runs
0
24-hour runs
1
3-day runs
-4
7-day runs
-3
30-day runs

More Information About qnli huggingface.co Model

qnli huggingface.co

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

henryscheible qnli online free

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

henryscheible qnli online free url in huggingface.co:

https://huggingface.co/henryscheible/qnli

qnli install

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

qnli install url in huggingface.co:

https://huggingface.co/henryscheible/qnli

Url of qnli

Provider of qnli huggingface.co

henryscheible
ORGANIZATIONS

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