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안녕하세요!
adaptive pretraining 후에 discriminator만 사용하여 fine-tuning에 사용하게 되는데
checkpoint 파일에서 discriminator만 사용하는 방법을 알 수 있을까요?
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I am using PR Agent powered by llama-3-1-70b-instruct model (understand it's not best model for coding compared with GPT4, etc. but this is the best one I can use in my project for now) to review PRs.…
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I've been profiling, tuning, and benchmarking OpenMM on an [AMD Radeon RX 6600](https://www.techpowerup.com/gpu-specs/radeon-rx-6600.c3696) with the goal of improving FAH on AMD. It has been a challen…
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As a Db2 administrator I want to provide the Db2 tuning services to our developers as easys as possible. Thats why we use one tuning connection profile with a technical userid for all the developers. …
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I intend to fine-tune my own dataset based on the AISHELL3 model, but my dataset only includes 6 speakers, while AISHELL3 has 218. I encountered an error message of size mismatch when loading the mode…
ltydd updated
8 months ago
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I used the provided pre-trained BriVL model to obtain the text and image embeddings for classification tasks, but the results are dissatisfactory. Will the fine-tuning code be provided?
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I conducted a simple experiment and want to answer 2 questions:
1. What is the gap between Batch query performance and Streaming Mv backfilling performance
2. What is the best barrier interval for b…
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After making the filtering adjustments noted in #97, my builds are looking great and running (all >150 mons) in ~45 minutes. The only catch now is that I have a bunch of units that need relative spee…
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Longitudinal tuning is currently difficult due to the lack of repeatability and reproducibility. Let's make a tool that allows us to specify maneuvers and repeat them reliably, input at a similar plac…
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Hi David,
I'm wondering whether you could point me in the right direction regarding issues with my unit purchased fully assembled. It will not activate tuning with 10W fed to the tuner from the tra…