Fine-tuning a language model likePhi-3.5is a crucial step in adapting it to perform specific tasks or cater to specific domains. This section will walk through what fine-tuning is, its importance in NLP, and how to fine-tune the Phi-3.5 model usingAzure Model Cata...
In the first phase, the algorithm builds a classical Naive Bayesian classifier. The second phase is a fine tuning phase. In this phase each training instance is classified, if it is misclassified, the probability values involved are fine tuned in such a way that increases the chances of ...
If you have a voice that the model doesnt quite reproduce correctly, or indeed you just want to improve the reproduced voice, then finetuning is a way to train your "XTTSv2 local" model (stored in /alltalk_tts/models/xxxxx/) on a specific voice. For this you will need: An Nvidia gra...
For fine-tuning, we'll set these ids to None, as we'll train the model to predict the correct language (Hindi) and task (transcription). There are also tokens that are completely suppressed during generation (suppress_tokens). These tokens have their log probabilities set to -inf, s...
For reference, the pre-trained Whisper small model achieves a WER of 63.5%, meaning we achieve an improvement of 31.5% absolute through fine-tuning. Not bad for just 8h of training data! We're now ready to share our fine-tuned model on the Hugging Face Hub. To make it more accessible...
“We consider ABB to be one of our key partners, with use of their technologies for control, quality and measurement on the Advantage DCT machine and across our site, so it was only natural that we asked the team to support with this project,” said Ahmad Hindi...
722 + meaning we achieve an improvement of 31.5% absolute through fine-tuning. 723 + Not bad for just 8h of training data! 722 724 723 - We can automatically submit our checkpoint to the leaderboard when we 724 - push the training results to the Hub - we simply have to set the ...
For fine-tuning, we'll set these ids to None, as we'll train the model to predict the correct language (Hindi) and task (transcription). There are also tokens that are completely suppressed during generation (suppress_tokens). These tokens have their log probabilities set to -...
In this work, we propose a Selective Fine-Tuning adoi:10.1142/s0218001416510058AlhussanKingAmelKingElKingHindiKingKhalilKingInternational journal of pattern recognition and artificial intelligenceAlhussan A., El Hindi K., "Selectively Fine- Tuning Bayesian Network Learning Algorithm." International Journal...
In this study, we propose a lazy fine-tuning nave Bayes (LFTNB) method to address both problems. We propose a local fine-tuning algorithm that uses the nearest neighbors of a query instance to fine-tune the probability terms used by NB. Applying the nearest neighbors only makes the ...