textattack / albert-base-v2-CoLA

huggingface.co
Total runs: 222
24-hour runs: 1
7-day runs: 21
30-day runs: -29
Model's Last Updated: July 07 2020
text-classification

Introduction of albert-base-v2-CoLA

Model Details of albert-base-v2-CoLA

TextAttack Model Cardand 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 classification task, the model was trained with a cross-entropy loss function. The best score the model achieved on this task was 0.8245445829338447, as measured by the eval set accuracy, found after 2 epochs.

For more information, check out TextAttack on Github .

Runs of textattack albert-base-v2-CoLA on huggingface.co

222
Total runs
1
24-hour runs
7
3-day runs
21
7-day runs
-29
30-day runs

More Information About albert-base-v2-CoLA huggingface.co Model

albert-base-v2-CoLA huggingface.co

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albert-base-v2-CoLA install

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

albert-base-v2-CoLA install url in huggingface.co:

https://huggingface.co/textattack/albert-base-v2-CoLA

Url of albert-base-v2-CoLA

albert-base-v2-CoLA huggingface.co Url

Provider of albert-base-v2-CoLA huggingface.co

textattack
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