@wandb
Nice work! We dug into your wandb project and found this beauty. https://t.co/Q3UkwBYeRt
š¦ Twitter Post Details
Viewing enriched Twitter post
š Media Metadata
{
"media": [
{
"type": "photo",
"url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2045294683677692031/media_0.jpg",
"filename": "media_0.jpg"
}
],
"processed_at": "2026-04-18T00:19:03.710330",
"pipeline_version": "2.0"
}š§ Raw API Response
{
"type": "tweet",
"id": "2045294683677692031",
"url": "https://x.com/wandb/status/2045294683677692031",
"twitterUrl": "https://twitter.com/wandb/status/2045294683677692031",
"text": "Nice work! We dug into your wandb project and found this beauty. https://t.co/Q3UkwBYeRt",
"source": "Twitter for iPhone",
"retweetCount": 0,
"replyCount": 0,
"likeCount": 0,
"quoteCount": 0,
"viewCount": 62,
"createdAt": "Sat Apr 18 00:13:46 +0000 2026",
"lang": "en",
"bookmarkCount": 0,
"isReply": false,
"inReplyToId": null,
"conversationId": "2045294683677692031",
"displayTextRange": [
0,
64
],
"inReplyToUserId": null,
"inReplyToUsername": null,
"author": {
"type": "user",
"userName": "wandb",
"url": "https://x.com/wandb",
"twitterUrl": "https://twitter.com/wandb",
"id": "1002190113831452672",
"name": "Weights & Biases",
"isVerified": false,
"isBlueVerified": true,
"verifiedType": "Business",
"profilePicture": "https://pbs.twimg.com/profile_images/1882196987115905024/IGWtKBkj_normal.jpg",
"coverPicture": "https://pbs.twimg.com/profile_banners/1002190113831452672/1756403215",
"description": "",
"location": "San Francisco",
"followers": 47725,
"following": 1248,
"status": "",
"canDm": true,
"canMediaTag": true,
"createdAt": "Thu May 31 14:08:37 +0000 2018",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 11348,
"hasCustomTimelines": true,
"isTranslator": false,
"mediaCount": 2223,
"statusesCount": 8470,
"withheldInCountries": [],
"affiliatesHighlightedLabel": {},
"possiblySensitive": false,
"pinnedTweetIds": [
"1988401253156876418"
],
"profile_bio": {
"description": "The AI developer platform.š ļø Track and evaluate your LLM applications in real-time with @weave_wb.",
"entities": {
"description": {
"user_mentions": [
{
"id_str": "",
"indices": [
88,
97
],
"name": "",
"screen_name": "weave_wb"
}
]
},
"url": {
"urls": [
{
"display_url": "wandb.ai/site",
"expanded_url": "https://wandb.ai/site",
"indices": [
0,
23
],
"url": "https://t.co/Qw4GKXDV6a"
}
]
}
}
},
"isAutomated": false,
"automatedBy": null
},
"extendedEntities": {
"media": [
{
"display_url": "pic.twitter.com/Q3UkwBYeRt",
"expanded_url": "https://twitter.com/wandb/status/2045294683677692031/photo/1",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"orig": {
"faces": []
}
},
"id_str": "2045294304978190337",
"indices": [
65,
88
],
"media_key": "3_2045294304978190337",
"media_results": {
"id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAARxiWFV9WsABCgACHGJYramakH8AAA==",
"result": {
"__typename": "ApiMedia",
"id": "QXBpTWVkaWE6DAABCgABHGJYVX1awAEKAAIcYlitqZqQfwAA",
"media_key": "3_2045294304978190337"
}
},
"media_url_https": "https://pbs.twimg.com/media/HGJYVX1awAEu21q.jpg",
"original_info": {
"focus_rects": [
{
"h": 2254,
"w": 4025,
"x": 71,
"y": 0
},
{
"h": 2254,
"w": 2254,
"x": 1842,
"y": 0
},
{
"h": 2254,
"w": 1977,
"x": 2119,
"y": 0
},
{
"h": 2254,
"w": 1127,
"x": 2969,
"y": 0
},
{
"h": 2254,
"w": 4096,
"x": 0,
"y": 0
}
],
"height": 2254,
"width": 4096
},
"sizes": {
"large": {
"h": 1127,
"w": 2048
}
},
"type": "photo",
"url": "https://t.co/Q3UkwBYeRt"
}
]
},
"card": null,
"place": {},
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"quoted_tweet": {
"type": "tweet",
"id": "2045137956848226677",
"url": "https://x.com/YuvrajS9886/status/2045137956848226677",
"twitterUrl": "https://twitter.com/YuvrajS9886/status/2045137956848226677",
"text": "Training Qwen2.5-0.5B-Instruct on Reddit post summarization with GRPO on my 3x Mac Minis ā trying combination of quality rewards with length penalty!\n\nCompleted all of the following combination rewards!\n\n>METEOR + BLEU\n>BLEU + ROUGE-L\n>METEOR + ROUGE-L\n\nAll the code and wandb charts in the comments\n\n---\n\nTraining Qwen2.5-0.5B-Instruct on Reddit post summarization with GRPO on my 3x Mac Minis ā trying combination of quality rewards with length penalty!\n\nCompleted all of the following combination rewards!\n\n>METEOR + BLEU\n>BLEU + ROUGE-L\n>METEOR + ROUGE-L\n\nAll the code and wandb charts in the comments\n\n---\n\nSetup: 3x Mac Minis in a cluster running MLX.\n\nOne node drives training using GRPO, two push rollouts via vLLM. Trained two variants:\n\nā length penalty only (baseline)\nā length penalty + quality reward (BLEU, METEOR and/or ROUGE-L )\n\n---\n\nEval:\nLLM-as-a-Judge (gpt-5)\nUsed DeepEval to build a judge pipeline scoring each summary on 4 axes:\nā Faithfulness ā no hallucinations vs. source\nā Coverage ā key points captured\nā Conciseness ā shorter, no redundancy\nā Clarity ā readable on its own",
"source": "Twitter for iPhone",
"retweetCount": 0,
"replyCount": 1,
"likeCount": 2,
"quoteCount": 1,
"viewCount": 182,
"createdAt": "Fri Apr 17 13:51:00 +0000 2026",
"lang": "en",
"bookmarkCount": 0,
"isReply": false,
"inReplyToId": null,
"conversationId": "2045137956848226677",
"displayTextRange": [
0,
285
],
"inReplyToUserId": null,
"inReplyToUsername": null,
"author": {
"type": "user",
"userName": "YuvrajS9886",
"url": "https://x.com/YuvrajS9886",
"twitterUrl": "https://twitter.com/YuvrajS9886",
"id": "1756343897297764352",
"name": "Yuvraj Singh",
"isVerified": false,
"isBlueVerified": true,
"verifiedType": null,
"profilePicture": "https://pbs.twimg.com/profile_images/1880213277814452225/D9ex676D_normal.jpg",
"coverPicture": "https://pbs.twimg.com/profile_banners/1756343897297764352/1769939620",
"description": "",
"location": "India ",
"followers": 2921,
"following": 761,
"status": "",
"canDm": true,
"canMediaTag": true,
"createdAt": "Sat Feb 10 15:46:50 +0000 2024",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 16475,
"hasCustomTimelines": true,
"isTranslator": false,
"mediaCount": 392,
"statusesCount": 5846,
"withheldInCountries": [],
"affiliatesHighlightedLabel": {},
"possiblySensitive": false,
"pinnedTweetIds": [
"2035276406167642335"
],
"profile_bio": {
"description": "Intern @askalphaxiv \n ā¢ Building cluster in my dorm room\n ā¢ Ex - @turboml, @puch_ai '25, @iiserkol24,@UofMaryland ā24\n ā¢ Building smolhub on the side!",
"entities": {
"description": {
"user_mentions": [
{
"id_str": "",
"indices": [
7,
19
],
"name": "",
"screen_name": "askalphaxiv"
},
{
"id_str": "",
"indices": [
65,
73
],
"name": "",
"screen_name": "turboml"
},
{
"id_str": "",
"indices": [
75,
83
],
"name": "",
"screen_name": "puch_ai"
},
{
"id_str": "",
"indices": [
89,
100
],
"name": "",
"screen_name": "iiserkol24"
},
{
"id_str": "",
"indices": [
101,
113
],
"name": "",
"screen_name": "UofMaryland"
}
]
},
"url": {
"urls": [
{
"display_url": "linktr.ee/yuvrajsingh9886",
"expanded_url": "https://linktr.ee/yuvrajsingh9886",
"indices": [
0,
23
],
"url": "https://t.co/nbznXuM0Iv"
}
]
}
}
},
"isAutomated": false,
"automatedBy": null
},
"extendedEntities": {},
"card": null,
"place": {},
"entities": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"quoted_tweet": null,
"retweeted_tweet": null,
"isLimitedReply": false,
"communityInfo": {
"id": "1509381007950204928",
"name": "Machine Learning",
"custom_banner_media_url": null
},
"article": null
},
"retweeted_tweet": null,
"isLimitedReply": false,
"communityInfo": null,
"article": null
}