Aaron2117

Results 3 comments of Aaron2117

Request help with training

> The author must have trained more than 30,000 steps. The following is the result of my 30,000 steps: ![00035_00_step_30000](https://private-user-images.githubusercontent.com/18433587/318466215-cfde4cd7-e60d-4f03-be6e-bc461d8cdab5.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.SKUz5sTUGHlevMJpH-t5ngZXNsPozT_kPOjB13nzaBM) ![00055_00_step_30000](https://private-user-images.githubusercontent.com/18433587/318466270-ccbdcd83-b5fd-4b1b-bc6a-a765d4858ecb.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.F6VMLGUp-jp9PuslOk0yYTm_iyjBKs1HPi8YdbyGRdY) ![00057_00_step_30000](https://private-user-images.githubusercontent.com/18433587/318466300-2b3f44c5-2d66-4859-80be-f1530cc2e7e5.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MTIwNjc1NjksIm5iZiI6MTcxMjA2NzI2OSwicGF0aCI6Ii8xODQzMzU4Ny8zMTg0NjYzMDAtMmIzZjQ0YzUtMmQ2Ni00ODU5LTgwYmUtZjE1MzBjYzJlN2U1LnBuZz9YLUFtei1BbGdvcml0aG09QVdTNC1ITUFDLVNIQTI1NiZYLUFtei1DcmVkZW50aWFsPUFLSUFWQ09EWUxTQTUzUFFLNFpBJTJGMjAyNDA0MDIlMkZ1cy1lYXN0LTElMkZzMyUyRmF3czRfcmVxdWVzdCZYLUFtei1EYXRlPTIwMjQwNDAyVDE0MTQyOVomWC1BbXotRXhwaXJlcz0zMDAmWC1BbXotU2lnbmF0dXJlPWMxNzdjZDE1ZGM5OWNlZmU5ZTA4OGEzZWNjZDAyYjNkZTg5NTI1MjU3MTMzNmJmNzg5ZTQ1YzQ3N2NmOWNmNGImWC1BbXotU2lnbmVkSGVhZGVycz1ob3N0JmFjdG9yX2lkPTAma2V5X2lkPTAmcmVwb19pZD0wIn0.sSAhmuY4yQPK4NRu0KamsyLndhQo6oGHjgfoldc-1fY) ![00064_00_step_30000](https://private-user-images.githubusercontent.com/18433587/318466329-ed7a66f2-e950-4553-b993-4961b582b15f.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.4YmmwIk45S2RWjzhubHhX55bXvepV119-MOP-JPMP5o) ![00067_00_step_30000](https://private-user-images.githubusercontent.com/18433587/318466374-7e12be00-3349-4be0-bb78-08e7757b42c8.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.ue5QngT7WFlOLcoV21fvyPuqz2PbcH9210tv6TeUiCY) ![00069_00_step_30000](https://private-user-images.githubusercontent.com/18433587/318466404-2c4955f5-a673-4515-b8db-79c7f5812a88.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.7bA_FmiwyfjXW0-NOmyTU0xRzxlqb9mIA0vnwfEfxRk) ![00071_00_step_30000](https://private-user-images.githubusercontent.com/18433587/318466455-285ef64a-ef75-44ae-a0c3-c8429d2a8c50.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.y_uUdGsjO6oxLV_Gil0wcP34Mq-IxEAflYO6MaWqwDA) ![00074_00_step_30000](https://private-user-images.githubusercontent.com/18433587/318466492-beb8070e-109d-4aea-8bf2-c7b42dfc579e.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.kQK6g2pX9uEI0vnMxF1H4VZsNEzVfHVIIYG1u_3X2XQ) ![00006_00_step_30000](https://private-user-images.githubusercontent.com/18433587/318466524-ecc2e253-208b-4c7d-b086-5d18338f5365.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.xTVZbO7c-7ivR2lIvl4Kzrt3pXOfwUGb2k-jTk4GkKE) ![00017_00_step_30000](https://private-user-images.githubusercontent.com/18433587/318466540-c103262e-1718-4b03-b8ad-a6bb3c730afd.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.GHwIqW9X7oTgiM1gNFyk2jcT_2Cnwib3CADiRsjvnW0) ![00034_00_step_30000](https://private-user-images.githubusercontent.com/18433587/318466570-fe0a4f7a-c901-4eb8-a2e7-3e9af20a16ef.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.VKgUk6NIxq4cyi4y3hjU3Zan8sHkCRpxz0OYOBD7yuo)...

Request help with training

@elenakovacic 300 epochs. i run inference on train set, the results is ok, but on test set is bad

Request help with training

@neuralchen i train 300 epochs on VITON-HD data set. the image size is 512 x 384, and the loss is about 0.03. can you tell me what your final loss...