HienDuong
/

pplx-embed-stage1-2048-deepedu

Sentence Similarity

sentence-transformers

bidirectional_pplx_qwen3

text-classification

text-embeddings-inference

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Exported Embedding Model

This model package was exported from the Stage 2 training run:

Run directory: 20260716_225939_stage2_pplx_stage1_2048
Export date: 2026-08-28

It is intended to be downloaded directly from Hugging Face and tested immediately.

Model Info

Model: HienDuong/pplx-embed-stage1-2048-deepedu
Model link: https://huggingface.co/HienDuong/pplx-embed-stage1-2048-deepedu
Base HF model: perplexity-ai/pplx-embed-v1-0.6b
Base link: https://huggingface.co/perplexity-ai/pplx-embed-v1-0.6b

Prompt Behavior

Query prefix: ""
Document prefix: ""

Loading

from sentence_transformers import SentenceTransformer

model = SentenceTransformer(
    "HienDuong/pplx-embed-stage1-2048-deepedu",
    token="HF_READ_TOKEN_IF_PRIVATE",
    trust_remote_code=True,
)

Best Checkpoint Selection

load_best_model_at_end: True
metric_for_best_model: eval_DeepEdu_dot_ndcg@10
best_metric: 0.5831874106543483
best_model_checkpoint: output/20260716_225939_stage2_pplx_stage1_2048/checkpoints/checkpoint-100

Artifact Layout

root: loadable Sentence Transformers model
artifacts/stage2_manifest.json: training/export manifest
artifacts/best_summary.json: best-checkpoint summary
artifacts/post_eval_summary.json: post-train benchmark summary
artifacts/post_eval/: raw post-eval outputs

Notes

trust_remote_code=True is required.
The base model uses custom code.
This finetuned model keeps empty query/document prefixes, consistent with the base PPLX usage pattern.
Downstream teams should still test with their actual retrieval scoring setup before production use.

Downloads last month: 13

Safetensors

Model size

0.6B params

Tensor type

BF16

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