VespaEmbed

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1 Setup

2 Training

3 Advanced

Project Name Saved to ~/.vespaembed/projects/

Task & Model

Task

Required columns:

Example data:

Base Model

Data Source

Training Data *

↑ CSV or JSONL

Eval Data (optional)

↑ CSV or JSONL

Dataset *

Subset

Train Split

Eval Split

Loss Function

Training

Epochs

Batch Size

Learning Rate

Warmup Ratio

Precision

Max Seq Length

Gradient Checkpointing (saves VRAM)

Matryoshka Embeddings

Enable Matryoshka (multi-dimensional embeddings)

Optimizer & Scheduler

Optimizer

Scheduler

Weight Decay

Grad Accum

Logging Steps

Eval Steps

Save Steps

LoRA (PEFT)

Enable LoRA training

Unsloth

Enable Unsloth (faster training)

HuggingFace Hub

Push to Hub (private)