textattack / xlnet-base-cased-STS-B

huggingface.co
Total runs: 23
24-hour runs: 2
7-day runs: 6
30-day runs: 18
Model's Last Updated: July 07 2020
text-generation

Introduction of xlnet-base-cased-STS-B

Model Details of xlnet-base-cased-STS-B

TextAttack Model Card

This xlnet-base-cased model was fine-tuned for sequence classification using TextAttack and the glue dataset loaded using the nlp library. The model was fine-tuned for 5 epochs with a batch size of 8, a learning rate of 5e-05, and a maximum sequence length of 128. Since this was a regression task, the model was trained with a mean squared error loss function. The best score the model achieved on this task was 0.8892630070017784, as measured by the eval set pearson correlation, found after 4 epochs.

For more information, check out TextAttack on Github .

Runs of textattack xlnet-base-cased-STS-B on huggingface.co

23
Total runs
2
24-hour runs
2
3-day runs
6
7-day runs
18
30-day runs

More Information About xlnet-base-cased-STS-B huggingface.co Model

xlnet-base-cased-STS-B huggingface.co

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xlnet-base-cased-STS-B huggingface.co Url

https://huggingface.co/textattack/xlnet-base-cased-STS-B

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xlnet-base-cased-STS-B install

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

xlnet-base-cased-STS-B install url in huggingface.co:

https://huggingface.co/textattack/xlnet-base-cased-STS-B

Url of xlnet-base-cased-STS-B

xlnet-base-cased-STS-B huggingface.co Url

Provider of xlnet-base-cased-STS-B huggingface.co

textattack
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