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train-sentence-transformers

Train or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder; dense or static embedding model; for retrieval, similarity…

Skill by sediman-agent

IndexedNOASSERTION★ 394
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/sediman-agent-train-sentence-transformers

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Train or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder; dense or static embedding model; for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker; pair scoring for two-stage retrieval / pair classification), and `SparseEncoder` (SPLADE, sparse embedding model; for learned-sparse retrieval). Covers loss selection, hard-negative mining, evaluators, distillation, LoRA, Matryoshka, and Hugging Face Hub publishing. Use for any sentence-transformers training task.

Use cases: ml, productivity

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/train-sentence-transformers

What's inside

Skill name
train-sentence-transformers
Description
Train or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder; dense or static embedding model; for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker; pair scoring for two-stage retrieval / pair classification), and `SparseEncoder` (SPLADE, sparse embedding model; for learned-sparse retrieval). Covers loss selection, hard-negative mining, evaluators, distillation, LoRA, Matryoshka, and Hugging Face Hub publishing. Use for any sentence-transformers training task.
License
NOASSERTION
Instructions
98 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts
  • Instructions call the network

Files (28)

  • SKILL.md
  • base_model_selection.md · references/
  • dataset_formats.md · references/
  • evaluators_cross_encoder.md · references/
  • evaluators_sentence_transformer.md · references/
  • evaluators_sparse_encoder.md · references/
  • hardware_guide.md · references/
  • hf_jobs_execution.md · references/
  • losses_cross_encoder.md · references/
  • losses_sentence_transformer.md · references/
  • losses_sparse_encoder.md · references/
  • model_architectures.md · references/
  • prompts_and_instructions.md · references/
  • training_args.md · references/
  • troubleshooting.md · references/
  • mine_hard_negatives.py · scripts/
  • train_cross_encoder_distillation_example.py · scripts/
  • train_cross_encoder_example.py · scripts/
  • train_cross_encoder_listwise_example.py · scripts/
  • train_sentence_transformer_distillation_example.py · scripts/
  • train_sentence_transformer_example.py · scripts/
  • train_sentence_transformer_make_multilingual_example.py · scripts/
  • train_sentence_transformer_matryoshka_example.py · scripts/
  • train_sentence_transformer_multi_dataset_example.py · scripts/
  • train_sentence_transformer_static_embedding_example.py · scripts/
  • train_sentence_transformer_with_lora_example.py · scripts/
  • train_sparse_encoder_distillation_example.py · scripts/
  • train_sparse_encoder_example.py · scripts/

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

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Stars
394
Forks
44
Open issues
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Last commit (this folder)
May 30, 2026 (5 months ago)
Last release
Jun 4, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
NOASSERTION
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

train-sentence-transformers skill. Agent Mart. https://agentmart.dev/skills/sediman-agent-train-sentence-transformers (last updated 2026-10-24)