textattack / albert-base-v2-STS-B

huggingface.co
Total runs: 20
24-hour runs: 0
7-day runs: 2
30-day runs: 7
Model's Last Updated: July 07 2020
text-classification

Introduction of albert-base-v2-STS-B

Model Details of albert-base-v2-STS-B

TextAttack Model Card

This albert-base-v2 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 32, a learning rate of 3e-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 0.9064220351504577, as measured by the eval set pearson correlation, found after 3 epochs.

For more information, check out TextAttack on Github .

Runs of textattack albert-base-v2-STS-B on huggingface.co

20
Total runs
0
24-hour runs
1
3-day runs
2
7-day runs
7
30-day runs

More Information About albert-base-v2-STS-B huggingface.co Model

albert-base-v2-STS-B huggingface.co

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albert-base-v2-STS-B huggingface.co Url

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albert-base-v2-STS-B install

albert-base-v2-STS-B is an open source model from GitHub that offers a free installation service, and any user can find albert-base-v2-STS-B on GitHub to install. At the same time, huggingface.co provides the effect of albert-base-v2-STS-B install, users can directly use albert-base-v2-STS-B installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

albert-base-v2-STS-B install url in huggingface.co:

https://huggingface.co/textattack/albert-base-v2-STS-B

Url of albert-base-v2-STS-B

albert-base-v2-STS-B huggingface.co Url

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