textattack / albert-base-v2-rotten-tomatoes

huggingface.co
Total runs: 27
24-hour runs: -1
7-day runs: -9
30-day runs: -45
Model's Last Updated: July 07 2020
text-classification

Introduction of albert-base-v2-rotten-tomatoes

Model Details of albert-base-v2-rotten-tomatoes

TextAttack Model Card

This albert-base-v2 model was fine-tuned for sequence classification using TextAttack and the rotten_tomatoes dataset loaded using the nlp library. The model was fine-tuned for 5 epochs with a batch size of 64, a learning rate of 2e-05, and a maximum sequence length of 128. Since this was a classification task, the model was trained with a cross-entropy loss function. The best score the model achieved on this task was 0.8808630393996247, as measured by the eval set accuracy, found after 1 epoch.

For more information, check out TextAttack on Github .

Runs of textattack albert-base-v2-rotten-tomatoes on huggingface.co

27
Total runs
-1
24-hour runs
-3
3-day runs
-9
7-day runs
-45
30-day runs

More Information About albert-base-v2-rotten-tomatoes huggingface.co Model

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albert-base-v2-rotten-tomatoes huggingface.co Url

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albert-base-v2-rotten-tomatoes install

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

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Url of albert-base-v2-rotten-tomatoes

albert-base-v2-rotten-tomatoes huggingface.co Url

Provider of albert-base-v2-rotten-tomatoes huggingface.co

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