note

DiffusersベースのDreamBoothについて

Stable DiffusionのDreamBoothについて、以前の記事では記事にスクリプトを添付していましたが、新たにgithubのリポジトリを作成しました。そちらを用いた学習について解説する記事です。 リポジトリはこちらです。 スクリプトの主な機能は以下の通りです。
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Z-Image Base を LoRA ではなくフルファインチューニングしてみる話.5 ...

次にテキストエンコーダー出力の事前キャッシングを行います。 Text Encoder Output Pre-caching とは何か（簡単な説明） つまり ...
IEEE

Beyond the Encoder: Joint Encoder-Decoder Contrastive Pre-Training Improves Dense Prediction

Abstract: Contrastive learning methods in self-supervised settings have primarily focused on pre-training encoders, while decoders are typically introduced and trained separately for downstream dense ...
GitHub

BERT Bi-Encoder Depth Ablation: Seeds, Training Budget, and Zero-Shot Transfer

At 20K the mean NDCG@10 spread across depths is 0.0053 — smaller than L12's single-seed variance. At 80K, L6 opens a 0.005 lead over L3 and 0.011 over L12. Headline: depth × training budget.
IEEE

Training and Inference Efficiency of Encoder-Decoder Speech Models

Abstract: Attention encoder-decoder architecture is the backbone of several top performing foundation speech models: Whisper, Seamless, OWSM, and Canary-1B. However, reported compute requirements are ...
GitHub

test_train_stsb.py

from sentence_transformers.cross_encoder.losses.binary_cross_entropy import BinaryCrossEntropyLoss from sentence_transformers.cross_encoder.trainer import CrossEncoderTrainer from ...