Cheng98 / opt-350m-rte

huggingface.co
Total runs: 1
24-hour runs: 0
7-day runs: 0
30-day runs: 1
Model's Last Updated: April 09 2024
text-classification

Introduction of opt-350m-rte

Model Details of opt-350m-rte

opt-350m-rte

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

  • Loss: 2.0566
  • Accuracy: 0.7112
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-rte on huggingface.co

1
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3-day runs
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7-day runs
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opt-350m-rte huggingface.co is an AI model on huggingface.co that provides opt-350m-rte's model effect (), which can be used instantly with this Cheng98 opt-350m-rte model. huggingface.co supports a free trial of the opt-350m-rte model, and also provides paid use of the opt-350m-rte. Support call opt-350m-rte model through api, including Node.js, Python, http.

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Cheng98 opt-350m-rte online free url in huggingface.co:

https://huggingface.co/Cheng98/opt-350m-rte

opt-350m-rte install

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

opt-350m-rte install url in huggingface.co:

https://huggingface.co/Cheng98/opt-350m-rte

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Cheng98
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