← Back to context Comment by throwa356262 17 hours ago What would you suggest instead? 3 comments throwa356262 Reply stephantul 14 hours ago A non-autoregressive transformer trained with a classification objective. all2 6 hours ago These are absurdly effective for this kind of task. Training is fast and straight forward. Packaging for deployment as ONNX is pretty simple as well. dev-experiments 2 hours ago As a follow up to the original article, I added a new experiment using Logistic Regression and the results are very good. It actually improves on the accuracy by a few points.More details here: https://www.teachmecoolstuff.com/viewarticle/using-logistic-...
stephantul 14 hours ago A non-autoregressive transformer trained with a classification objective. all2 6 hours ago These are absurdly effective for this kind of task. Training is fast and straight forward. Packaging for deployment as ONNX is pretty simple as well. dev-experiments 2 hours ago As a follow up to the original article, I added a new experiment using Logistic Regression and the results are very good. It actually improves on the accuracy by a few points.More details here: https://www.teachmecoolstuff.com/viewarticle/using-logistic-...
all2 6 hours ago These are absurdly effective for this kind of task. Training is fast and straight forward. Packaging for deployment as ONNX is pretty simple as well. dev-experiments 2 hours ago As a follow up to the original article, I added a new experiment using Logistic Regression and the results are very good. It actually improves on the accuracy by a few points.More details here: https://www.teachmecoolstuff.com/viewarticle/using-logistic-...
dev-experiments 2 hours ago As a follow up to the original article, I added a new experiment using Logistic Regression and the results are very good. It actually improves on the accuracy by a few points.More details here: https://www.teachmecoolstuff.com/viewarticle/using-logistic-...
A non-autoregressive transformer trained with a classification objective.
These are absurdly effective for this kind of task. Training is fast and straight forward. Packaging for deployment as ONNX is pretty simple as well.
As a follow up to the original article, I added a new experiment using Logistic Regression and the results are very good. It actually improves on the accuracy by a few points.
More details here: https://www.teachmecoolstuff.com/viewarticle/using-logistic-...