juiceb0xc0de/juicebucket
0 Bytes
R
juiceb0xc0de
AI & ML interests
destroying heuristic determination in 4 dimensions to flood the engines with diversity and a lot of swear words
Recent Activity
updated a Space about 7 hours ago
juiceb0xc0de/mcp-ultra published a Space about 7 hours ago
juiceb0xc0de/mcp-ultra liked a Space about 17 hours ago
juiceb0xc0de/AMD-Hackathon-SlidesOrganizations
Posts 7
Post
135
I'm not obsessed with LR schedulers you are.
juiceb0xc0de/lr-scheduler-benchmark
Okay maybe I'm a little obsessed with LR schedulers ATM. I ran a SST-2 Sentiment Classification eval using the nyu-mll/glue dataset on distilbert/distilbert-base-uncased-67M to see how different schedulers perform.
I think I've graduated from ML enthusiast to full blown data hoarder and I don't know if I can turn back now.
Anyways I evaluated the 2 schedulers that i designed as well and was pretty happy with the performance of both over all so hell ya to that guess I'll go and grab some more graphs.
https://github.com/JuiceB0xC0de/aecs-scheduler.git
https://github.com/JuiceB0xC0de/lucky-pick-scheduler.git
nyu-mll/glue
distilbert/distilbert-base-uncased
juiceb0xc0de/lr-scheduler-benchmark
Okay maybe I'm a little obsessed with LR schedulers ATM. I ran a SST-2 Sentiment Classification eval using the nyu-mll/glue dataset on distilbert/distilbert-base-uncased-67M to see how different schedulers perform.
I think I've graduated from ML enthusiast to full blown data hoarder and I don't know if I can turn back now.
Anyways I evaluated the 2 schedulers that i designed as well and was pretty happy with the performance of both over all so hell ya to that guess I'll go and grab some more graphs.
https://github.com/JuiceB0xC0de/aecs-scheduler.git
https://github.com/JuiceB0xC0de/lucky-pick-scheduler.git
nyu-mll/glue
distilbert/distilbert-base-uncased
This is a collection of models that I've trained on data collected through conversations with frontier models GPT, Claude, Perplexity and myself.
-
juiceb0xc0de/bella-bartender-gemma-e2b
Text Generation • 5B • Updated • 35 • 3 -
juiceb0xc0de/bella-bartender-8b-llama3.1
Text Generation • 8B • Updated • 281 • • 4 -
juiceb0xc0de/bella-bartender-3b
Text Generation • 3B • Updated • 155 • 2 -
juiceb0xc0de/bella-bartender-heretic-1b
Text Generation • 1B • Updated • 653 • 2
This is a collection of models that I've trained on data collected through conversations with frontier models GPT, Claude, Perplexity and myself.
-
juiceb0xc0de/bella-bartender-gemma-e2b
Text Generation • 5B • Updated • 35 • 3 -
juiceb0xc0de/bella-bartender-8b-llama3.1
Text Generation • 8B • Updated • 281 • • 4 -
juiceb0xc0de/bella-bartender-3b
Text Generation • 3B • Updated • 155 • 2 -
juiceb0xc0de/bella-bartender-heretic-1b
Text Generation • 1B • Updated • 653 • 2
spaces 5
pinned
Running
Agents
2
LR Scheduler Benchmark
🏁
Standardized benchmark comparing learning rate schedulers
Paused
Mcp Ultra
🦀
A home for the tools you need to know about
Running
1
AMD Hackathon Slides
🏃
Slides for the AMD hackathon
Running
1
AMD Hackathon Landing Page
🐨
A landing page for my AMD hackathon presentation
Sleeping
Agents
Trackio
🚀
Track and visualize data sequences with interactive displays
models 22
juiceb0xc0de/bella-bartender-gemma-e2b
Text Generation • 5B • Updated • 35 • 3
juiceb0xc0de/benchmark-fft-7b-199
Text Generation • 8B • Updated • 20
juiceb0xc0de/benchmark-lucky-pick-7b-14
3B • Updated • 15
juiceb0xc0de/bella-bartender-gemma-4-e2b-gguf
Text Generation • 5B • Updated • 807 • 1
juiceb0xc0de/benchmark-luckypick-7b-667
8B • Updated • 29
juiceb0xc0de/benchmark-luckypick-7b-555
8B • Updated • 27
juiceb0xc0de/benchmark-luckypick-7b-19
8B • Updated • 104
juiceb0xc0de/benchmark-lucky-pick-7b-666
8B • Updated • 39
juiceb0xc0de/benchmark-lucky-pick-3047
3B • Updated • 26
juiceb0xc0de/benchmark-lucky-pick-19
3B • Updated • 70