Cheng98 / opt-350m-qnli

huggingface.co
Total runs: 3
24-hour runs: 0
7-day runs: 0
30-day runs: 2
Model's Last Updated: April 09 2024
text-classification

Introduction of opt-350m-qnli

Model Details of opt-350m-qnli

opt-350m-qnli

This model is a fine-tuned version of facebook/opt-350m on the GLUE QNLI dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9154
  • Accuracy: 0.8880
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
  • num_epochs: 5.0
Training results
Framework versions
  • Transformers 4.31.0
  • Pytorch 2.0.1+cu117
  • Datasets 2.18.0
  • Tokenizers 0.13.3

Runs of Cheng98 opt-350m-qnli on huggingface.co

3
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3-day runs
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7-day runs
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opt-350m-qnli install

opt-350m-qnli is an open source model from GitHub that offers a free installation service, and any user can find opt-350m-qnli on GitHub to install. At the same time, huggingface.co provides the effect of opt-350m-qnli install, users can directly use opt-350m-qnli installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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Cheng98
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