[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-183517-105":59,"doc-detail-183517-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","modelloss","ModelLoss","","The provided document presents a detailed analysis of a machine learning model's performance across 30 epochs. It includes both training and validation metrics, such as loss, accuracy, precision, recall, and F1-score. The training loss consistently decreases from 1.7918 in epoch 1 to 0.0837 in epoch 30, indicating effective learning. Similarly, validation loss shows a general downward trend, fluctuating between 0.0435 and 1.6870, with a final value of 0.0476 in epoch 30. The model achieves a validation accuracy of 97.22% early on and maintains high accuracy, reaching 97.78% by epoch 30. Precision, recall, and F1-score on the validation set are also strong, hovering around 97-98%. The loss graph visually confirms this trend, with both training and validation losses decreasing significantly over epochs, suggesting a well-generalized model. The document includes visual representations of loss curves and training progress, further illustrating the model's learning trajectory. The detailed epoch-by-epoch breakdown allows for granular inspection of performance at different stages of training.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":30,"@type":76,"position":81},"https://docshare.wps.com/document/technology/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/modelloss/183517/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/modelloss/183517.png","ImageObject",300,407,{"name":92,"@type":93},"Liam","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-08","2026-09-02",true,{"@type":102,"interactionType":103,"userInteractionCount":29},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is the training loss trend over 30 epochs?","Question",{"text":112,"@type":113},"The training loss decreases significantly from 1.7918 in epoch 1 to 0.0837 in epoch 30, indicating effective model learning.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What is the validation loss trend and final value?",{"text":117,"@type":113},"The validation loss generally decreases throughout the epochs, with minor fluctuations, and ends at 0.0476 in epoch 30, demonstrating good model generalization.",{"name":119,"@type":110,"acceptedAnswer":120},"What is the overall validation accuracy achieved by the model?",{"text":121,"@type":113},"The model achieves a high validation accuracy, starting at 31.67% in epoch 1 and reaching 97.78% by epoch 30, with peaks of 98.61%.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},183517,1790461497,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":29,"category_name":30,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":29,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":44,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":144},8796095461564,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","| Validation Accuracy | Loss | Accuracy | Precision | Recall | F1-score |\n| --- | --- | --- | --- | --- | --- |\n| 97.22% | 5.80% | 98.66% | 97.24% | 97.22% | 97.22% |\n\n\n| Epoch | Loss | Accuracy | Validation Loss | Validation Accuracy |\n| --- | --- | --- | --- | --- |\n| 1 | 1.7918 | 18.73% | 1.6870 | 31.67% |\n| 2 | 1.5108 | 38.79% | 1.0064 | 64.72% |\n| 3 | 1.1284 | 53.24% | 0.7774 | 71.67% |\n| 4 | 0.8886 | 63.88% | 0.6475 | 72.50% |\n| 5 | 0.7707 | 69.43% | 0.4595 | 84.17% |\n| 6 | 0.6238 | 77.31% | 0.3315 | 88.61% |\n| 7 | 0.4968 | 81.28% | 0.1778 | 95.28% |\n| 8 | 0.4722 | 82.30% | 0.1888 | 95.56% |\n| 9 | 0.3838 | 85.82% | 0.1579 | 96.11% |\n| 10 | 0.3453 | 87.06% | 0.1753 | 92.50% |\n| 11 | 0.2568 | 91.19% | 0.0968 | 97.22% |\n| 12 | 0.2591 | 90.76% | 0.1548 | 95.28% |\n| 13 | 0.2462 | 91.51% | 0.1253 | 97.22% |\n| 14 | 0.1776 | 94.36% | 0.0856 | 98.61% |\n| 15 | 0.1721 | 94.18% | 0.0891 | 96.94% |\n| 16 | 0.1682 | 93.81% | 0.0661 | 98.33% |\n| 17 | 0.1510 | 95.57% | 0.0992 | 97.50% |\n| 18 | 0.1279 | 96.14% | 0.0435 | 98.61% |\n| 19 | 0.1028 | 96.60% | 0.0617 | 97.78% |\n| 20 | 0.0964 | 96.05% | 0.0801 | 96.39% |\n| 21 | 0.1303 | 95.50% | 0.0735 | 97.78% |\n| 22 | 0.1062 | 96.63% | 0.0664 | 96.94% |\n| 23 | 0.0907 | 97.56% | 0.0579 | 98.06% |\n| 24 | 0.0955 | 96.79% | 0.0823 | 98.33% |\n| 25 | 0.0868 | 97.06% | 0.0663 | 98.06% |\n| 26 | 0.0805 | 97.28% | 0.0589 | 98.61% |\n| 27 | 0.1070 | 96.65% | 0.0702 | 97.78% |\n| 28 | 0.0852 | 97.48% | 0.0893 | 96.11% |\n| 29 | 0.1014 | 96.58% | 0.1846 | 93.89% |\n| 30 | 0.0837 | 97.18% | 0.0476 | 97.78% |","cbCaic26KiANInS2","https://ap.wps.com/l/cbCaic26KiANInS2","pdf",450867,"English","# Model Loss\n## Epoch-wise Performance","[{\"question\":\"What is the training loss trend over 30 epochs?\",\"answer\":\"The training loss decreases significantly from 1.7918 in epoch 1 to 0.0837 in epoch 30, indicating effective model learning.\"},{\"question\":\"What is the validation loss trend and final value?\",\"answer\":\"The validation loss generally decreases throughout the epochs, with minor fluctuations, and ends at 0.0476 in epoch 30, demonstrating good model generalization.\"},{\"question\":\"What is the overall validation accuracy achieved by the model?\",\"answer\":\"The model achieves a high validation accuracy, starting at 31.67% in epoch 1 and reaching 97.78% by epoch 30, with peaks of 98.61%.\"}]","ModelLoss | PDF",1788353006,23]