Trendyol E-Ticaret 2026 Shared Models

Public model artifacts for the Trendyol E-Ticaret Yarismasi 2026 Kaggle pipeline.

Last verified Hub visibility: public on 2026-06-29.

Contents

These are the default checkpoints downloaded by scripts/download_models.py. The public Hub repo can also keep older experiment folders; use --models all only when those are needed.

Folder Source model Text mode Max length Notes
ce/ dbmdz/bert-base-turkish-cased base 64 Public LB anchor around 0.80
ce_electra/ dbmdz/electra-base-turkish-cased-discriminator base 64 Diversity CE, public LB around 0.80
ce_rich/ dbmdz/bert-base-turkish-cased rich 128 Uses selected attributes/gender/age; public LB 0.79
ce_hardft_faiss10/ ce/ fine-tune base 64 FAISS hard-negative fine-tune; ce_l3hard_pos0.240.csv reached Public LB 0.82
ce_hardft_deep/ ce/ fine-tune base 64 Deeper FAISS hard-negative fine-tune with up to 24 negatives per term
ce_eldeep/ ce_electra/ fine-tune base 64 ELECTRA version of the deeper FAISS hard-negative fine-tune
ce_xlmr/ FacebookAI/xlm-roberta-large (560M) base 64 XLM-R large on deep negatives; ce_l3xlmr_pos0.240.csv reached Public LB 0.87 (trained bf16, grad-ckpt)
ce_bge/ BAAI/bge-reranker-v2-m3 (568M) base 64 Reranker-pretrained on deep negatives; ce_l3bge_pos0.240.csv Public LB 0.87, proxy 0.6691
ce_bge_attr/ BAAI/bge-reranker-v2-m3 (568M) attr 96 bge + curated attributes (attr text mode); ce_l3bgeattr_pos0.240.csv Public LB 0.88, proxy 0.6791 (current best, plateau break)

Each folder is a standard Transformers AutoModelForSequenceClassification checkpoint with tokenizer files and a local meta.json.

Download

From the project repository:

HF_MODEL_REPO=efeyol11/trendyol-eticaret-2026-models \
uv run python scripts/download_models.py

The repo is public, so hf auth login is not required for download. Logging in can still help with rate limits.

To fetch every experiment folder on the Hub instead of the default set:

HF_MODEL_REPO=efeyol11/trendyol-eticaret-2026-models \
uv run python scripts/download_models.py --models all

To replace existing local model folders:

HF_MODEL_REPO=efeyol11/trendyol-eticaret-2026-models \
uv run python scripts/download_models.py --force

Usage

CE_OUT=models_store/ce CE_TAG=l3 uv run python scripts/predict_l3_cross_encoder.py
CE_OUT=models_store/ce_electra CE_TAG=l3el uv run python scripts/predict_l3_cross_encoder.py
CE_OUT=models_store/ce_rich CE_TAG=l3rich uv run python scripts/predict_l3_cross_encoder.py
CE_OUT=models_store/ce_hardft_faiss10 CE_TAG=l3hard uv run python scripts/predict_l3_cross_encoder.py
CE_OUT=models_store/ce_hardft_deep CE_TAG=l3deep uv run python scripts/predict_l3_cross_encoder.py
CE_OUT=models_store/ce_eldeep CE_TAG=l3eldeep uv run python scripts/predict_l3_cross_encoder.py
CE_OUT=models_store/ce_xlmr CE_TAG=l3xlmr uv run python scripts/predict_l3_cross_encoder.py

To upload or resync the public repository with a write-capable Hugging Face token:

hf auth login
HF_MODEL_REPO=efeyol11/trendyol-eticaret-2026-models \
uv run python scripts/upload_models_to_hf.py --public

Competition data and submission caches are shared through the private GitHub repository via Git LFS. Model checkpoints are shared here on Hugging Face.

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