{"id":759,"date":"2022-06-16T18:15:57","date_gmt":"2022-06-16T16:15:57","guid":{"rendered":"https:\/\/kairntech.com\/doc\/?p=759"},"modified":"2025-08-01T16:09:25","modified_gmt":"2025-08-01T14:09:25","slug":"how-to-experiment-entity-detection-with-models-advanced","status":"publish","type":"post","link":"https:\/\/kairntech.com\/doc\/how-to-experiment-entity-detection-with-models-advanced\/","title":{"rendered":"How to experiment entity detection with models (advanced)?"},"content":{"rendered":"\n<p>With a sufficient number of annotations available, the goal is to&nbsp;<strong>create and&nbsp; experiment with models<\/strong> with the help of pre-configured and state-of-the-art machine or deep learning algorithms. The models learn from existing annotations. Models need to be <strong>compared<\/strong> in order to select the best one for <strong>automating this task<\/strong> in the future on new documents.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Go to <em>Model Experiments<\/em><strong> <\/strong>view<\/li>\n\n\n\n<li><a href=\"https:\/\/kairntech.com\/doc\/how-to-generate-train-and-test-metadata\/\" data-type=\"URL\" data-id=\"https:\/\/kairntech.com\/doc\/how-to-generate-train-and-test-metadata\/\">Split dataset<\/a>\n<ul class=\"wp-block-list\">\n<li>We recommend to generate train\/test metadata on the dataset to create train\/test datasets that can be easily be compared when using different experiments.&nbsp;<\/li>\n\n\n\n<li>Alternatively use the \u201cShuffle: true\u201d parameter. This parameter creates a random split at each training run. Changes in training success may then come from properties of these random splits, especially when the number of documents is small.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Create a new experiment<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"334\" src=\"https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-178-1024x334.png\" alt=\"\" class=\"wp-image-5465\" srcset=\"https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-178-1024x334.png 1024w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-178-300x98.png 300w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-178-768x250.png 768w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-178-1536x501.png 1536w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-178.png 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Select the <strong>algorithm<\/strong> for the experiment<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"634\" height=\"387\" src=\"https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-179.png\" alt=\"\" class=\"wp-image-5466\" srcset=\"https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-179.png 634w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-179-300x183.png 300w\" sizes=\"auto, (max-width: 634px) 100vw, 634px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Show advanced parameters<\/li>\n\n\n\n<li>Adjust the <strong>training options<\/strong><\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"462\" src=\"https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-180-1024x462.png\" alt=\"\" class=\"wp-image-5467\" srcset=\"https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-180-1024x462.png 1024w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-180-300x135.png 300w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-180-768x347.png 768w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-180-1536x693.png 1536w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-180.png 1804w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Adjust the <strong>algorithm training parameters<\/strong> (see also&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/kairntech.com\/doc\/faq\/#word-embeddings\" target=\"_blank\">What are word embeddings?<\/a>)\n<ul class=\"wp-block-list\">\n<li>Select \u201cEmbeddings\u201d when appropriate to benefit from pre-computed semantic properties of words such as <strong>BERT&nbsp;<\/strong>transformers or&nbsp;<strong>flair embeddings<\/strong>. Adding embeddings will in many cases increase the quality but will also result in a longer computation time for the training of the model.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n<div class=\"wp-block-image is-style-default\">\n<figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"766\" src=\"https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2023\/01\/image-75-1024x766.png\" alt=\"\" class=\"wp-image-2487\" srcset=\"https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2023\/01\/image-75-1024x766.png 1024w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2023\/01\/image-75-300x224.png 300w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2023\/01\/image-75-768x574.png 768w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2023\/01\/image-75.png 1249w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n<ul class=\"wp-block-list\">\n<li>Save your experiment<\/li>\n<\/ul>\n\n\n<div class=\"wp-block-image is-style-default\">\n<figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"501\" src=\"https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2023\/03\/image-36-1024x501.png\" alt=\"\" class=\"wp-image-2971\" srcset=\"https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2023\/03\/image-36-1024x501.png 1024w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2023\/03\/image-36-300x147.png 300w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2023\/03\/image-36-768x376.png 768w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2023\/03\/image-36-1536x752.png 1536w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2023\/03\/image-36.png 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n<ul class=\"wp-block-list\">\n<li>Launch the model experiment<\/li>\n\n\n\n<li>Evaluate the overall quality of the models and the quality for each model by ticking the quality tick-box.<\/li>\n\n\n\n<li>You can select different options to evaluate the quality of the models: F-measure, precision, recall and number of examples.&nbsp;<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large is-style-default\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"496\" src=\"https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2023\/03\/image-37-1024x496.png\" alt=\"\" class=\"wp-image-2972\" srcset=\"https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2023\/03\/image-37-1024x496.png 1024w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2023\/03\/image-37-300x145.png 300w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2023\/03\/image-37-768x372.png 768w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2023\/03\/image-37-1536x744.png 1536w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2023\/03\/image-37.png 1919w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Improve&nbsp;<\/strong>the labels of the dataset with a&nbsp;<strong>low quality<\/strong>&nbsp;by focusing your annotation efforts on these weaker labels.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-kairntech-documentation wp-block-embed-kairntech-documentation\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"tBfXAAzURo\"><a href=\"https:\/\/kairntech.com\/doc\/how-to-test-a-model\/\">How to test a model or a pipeline?<\/a><\/blockquote><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;How to test a model or a pipeline?&#8221; &#8212; Kairntech Documentation\" src=\"https:\/\/kairntech.com\/doc\/how-to-test-a-model\/embed\/#?secret=VDg266xKHm#?secret=tBfXAAzURo\" data-secret=\"tBfXAAzURo\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>With a sufficient number of annotations available, the goal is to&nbsp;create and&nbsp; experiment with models with the help of pre-configured and state-of-the-art machine or deep learning algorithms. The models learn from existing annotations. Models need to be compared in order to select the best one for automating this task in the future on new documents.<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[14],"tags":[],"class_list":["post-759","post","type-post","status-publish","format-standard","hentry","category-advanced-topics"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>How to experiment entity detection with models (advanced)? - Kairntech Documentation<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/kairntech.com\/doc\/how-to-experiment-entity-detection-with-models-advanced\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to experiment entity detection with models (advanced)? - Kairntech Documentation\" \/>\n<meta property=\"og:description\" content=\"With a sufficient number of annotations available, the goal is to&nbsp;create and&nbsp; experiment with models with the help of pre-configured and state-of-the-art machine or deep learning algorithms. 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