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--- |
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language: |
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- en |
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license: apache-2.0 |
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tags: |
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- biencoder |
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- sentence-transformers |
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- text-classification |
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- sentence-pair-classification |
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- semantic-similarity |
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- semantic-search |
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- retrieval |
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- reranking |
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- generated_from_trainer |
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- dataset_size:483820 |
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- loss:MultipleNegativesSymmetricRankingLoss |
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base_model: Alibaba-NLP/gte-modernbert-base |
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widget: |
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- source_sentence: 'See Precambrian time scale # Proposed Geologic timeline for another |
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set of periods 4600 -- 541 MYA .' |
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sentences: |
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- In 2014 election , Biju Janata Dal candidate Tathagat Satapathy Bharatiya Janata |
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party candidate Rudra Narayan Pany defeated with a margin of 1.37,340 votes . |
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- In Scotland , the Strathclyde Partnership for Transport , formerly known as Strathclyde |
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Passenger Transport Executive , comprises the former Strathclyde region , which |
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includes the urban area around Glasgow . |
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- 'See Precambrian Time Scale # Proposed Geological Timeline for another set of |
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periods of 4600 -- 541 MYA .' |
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- source_sentence: It is also 5 kilometers northeast of Tamaqua , 27 miles south of |
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Allentown and 9 miles northwest of Hazleton . |
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sentences: |
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- In 1948 he moved to Massachusetts , and eventually settled in Vermont . |
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- Suddenly I remembered that I was a New Zealander , I caught the first plane home |
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and came back . |
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- It is also 5 miles northeast of Tamaqua , 27 miles south of Allentown , and 9 |
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miles northwest of Hazleton . |
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- source_sentence: The party has a Member of Parliament , a member of the House of |
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Lords , three members of the London Assembly and two Members of the European Parliament |
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. |
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sentences: |
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- The party has one Member of Parliament , one member of the House of Lords , three |
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Members of the London Assembly and two Members of the European Parliament . |
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- Grapsid crabs dominate in Australia , Malaysia and Panama , while gastropods Cerithidea |
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scalariformis and Melampus coeffeus are important seed predators in Florida mangroves |
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. |
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- Music Story is a music service website and international music data provider that |
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curates , aggregates and analyses metadata for digital music services . |
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- source_sentence: 'The play received two 1969 Tony Award nominations : Best Actress |
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in a Play ( Michael Annals ) and Best Costume Design ( Charlotte Rae ) .' |
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sentences: |
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- Ravishanker is a fellow of the International Statistical Institute and an elected |
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member of the American Statistical Association . |
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- 'In 1969 , the play received two Tony - Award nominations : Best Actress in a |
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Theatre Play ( Michael Annals ) and Best Costume Design ( Charlotte Rae ) .' |
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- AMD and Nvidia both have proprietary methods of scaling , CrossFireX for AMD , |
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and SLI for Nvidia . |
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- source_sentence: He was a close friend of Ángel Cabrera and is a cousin of golfer |
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Tony Croatto . |
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sentences: |
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- He was a close friend of Ángel Cabrera , and is a cousin of golfer Tony Croatto |
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. |
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- Eugenijus Bartulis ( born December 7 , 1949 in Kaunas ) is a Lithuanian Roman |
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Catholic priest , and Bishop of Šiauliai . |
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- UWIRE also distributes its members content to professional media outlets , including |
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Yahoo , CNN and CBS News . |
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datasets: |
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- redis/langcache-sentencepairs-v1 |
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pipeline_tag: sentence-similarity |
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library_name: sentence-transformers |
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metrics: |
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- cosine_accuracy |
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- cosine_accuracy_threshold |
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- cosine_f1 |
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- cosine_f1_threshold |
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- cosine_precision |
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- cosine_recall |
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- cosine_ap |
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- cosine_mcc |
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model-index: |
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- name: Redis fine-tuned BiEncoder model for semantic caching on LangCache |
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results: |
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- task: |
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type: binary-classification |
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name: Binary Classification |
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dataset: |
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name: test |
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type: test |
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metrics: |
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- type: cosine_accuracy |
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value: 0.7035681462730365 |
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name: Cosine Accuracy |
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- type: cosine_accuracy_threshold |
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value: 0.8473721742630005 |
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name: Cosine Accuracy Threshold |
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- type: cosine_f1 |
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value: 0.712274188436637 |
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name: Cosine F1 |
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- type: cosine_f1_threshold |
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value: 0.8116312026977539 |
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name: Cosine F1 Threshold |
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- type: cosine_precision |
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value: 0.5987668417446905 |
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name: Cosine Precision |
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- type: cosine_recall |
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value: 0.8788826815642458 |
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name: Cosine Recall |
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- type: cosine_ap |
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value: 0.6473811496690576 |
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name: Cosine Ap |
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- type: cosine_mcc |
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value: 0.4419218320172892 |
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name: Cosine Mcc |
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--- |
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# Redis fine-tuned BiEncoder model for semantic caching on LangCache |
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This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [Alibaba-NLP/gte-modernbert-base](https://huggingface.co/Alibaba-NLP/gte-modernbert-base) on the [LangCache Sentence Pairs (all)](https://huggingface.co/datasets/redis/langcache-sentencepairs-v1) dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for sentence pair similarity. |
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## Model Details |
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### Model Description |
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- **Model Type:** Sentence Transformer |
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- **Base model:** [Alibaba-NLP/gte-modernbert-base](https://huggingface.co/Alibaba-NLP/gte-modernbert-base) <!-- at revision e7f32e3c00f91d699e8c43b53106206bcc72bb22 --> |
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- **Maximum Sequence Length:** 8192 tokens |
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- **Output Dimensionality:** 768 dimensions |
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- **Similarity Function:** Cosine Similarity |
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- **Training Dataset:** |
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- [LangCache Sentence Pairs (all)](https://huggingface.co/datasets/redis/langcache-sentencepairs-v1) |
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- **Language:** en |
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- **License:** apache-2.0 |
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### Model Sources |
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- **Documentation:** [Sentence Transformers Documentation](https://sbert.net) |
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- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers) |
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- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers) |
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### Full Model Architecture |
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``` |
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SentenceTransformer( |
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(0): Transformer({'max_seq_length': 8192, 'do_lower_case': False, 'architecture': 'ModernBertModel'}) |
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(1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) |
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) |
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``` |
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## Usage |
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### Direct Usage (Sentence Transformers) |
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First install the Sentence Transformers library: |
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```bash |
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pip install -U sentence-transformers |
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``` |
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Then you can load this model and run inference. |
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```python |
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from sentence_transformers import SentenceTransformer |
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# Download from the 🤗 Hub |
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model = SentenceTransformer("redis/langcache-embed-v3") |
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# Run inference |
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sentences = [ |
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'He was a close friend of Ángel Cabrera and is a cousin of golfer Tony Croatto .', |
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'He was a close friend of Ángel Cabrera , and is a cousin of golfer Tony Croatto .', |
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'UWIRE also distributes its members content to professional media outlets , including Yahoo , CNN and CBS News .', |
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] |
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embeddings = model.encode(sentences) |
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print(embeddings.shape) |
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# [3, 768] |
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# Get the similarity scores for the embeddings |
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similarities = model.similarity(embeddings, embeddings) |
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print(similarities) |
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# tensor([[0.9922, 0.9922, 0.5352], |
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# [0.9922, 0.9961, 0.5391], |
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# [0.5352, 0.5391, 1.0000]], dtype=torch.bfloat16) |
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``` |
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<!-- |
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### Direct Usage (Transformers) |
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<details><summary>Click to see the direct usage in Transformers</summary> |
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</details> |
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--> |
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<!-- |
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### Downstream Usage (Sentence Transformers) |
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You can finetune this model on your own dataset. |
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<details><summary>Click to expand</summary> |
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</details> |
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--> |
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<!-- |
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### Out-of-Scope Use |
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*List how the model may foreseeably be misused and address what users ought not to do with the model.* |
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--> |
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## Evaluation |
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### Metrics |
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#### Binary Classification |
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* Dataset: `test` |
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* Evaluated with [<code>BinaryClassificationEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.BinaryClassificationEvaluator) |
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| Metric | Value | |
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|:--------------------------|:-----------| |
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| cosine_accuracy | 0.7036 | |
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| cosine_accuracy_threshold | 0.8474 | |
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| cosine_f1 | 0.7123 | |
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| cosine_f1_threshold | 0.8116 | |
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| cosine_precision | 0.5988 | |
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| cosine_recall | 0.8789 | |
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| **cosine_ap** | **0.6474** | |
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| cosine_mcc | 0.4419 | |
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<!-- |
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## Bias, Risks and Limitations |
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*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.* |
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--> |
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<!-- |
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### Recommendations |
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*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.* |
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--> |
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## Training Details |
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### Training Dataset |
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#### LangCache Sentence Pairs (all) |
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* Dataset: [LangCache Sentence Pairs (all)](https://huggingface.co/datasets/redis/langcache-sentencepairs-v1) |
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* Size: 26,850 training samples |
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* Columns: <code>sentence1</code>, <code>sentence2</code>, and <code>label</code> |
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* Approximate statistics based on the first 1000 samples: |
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| | sentence1 | sentence2 | label | |
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|:--------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:-----------------------------| |
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| type | string | string | int | |
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| details | <ul><li>min: 8 tokens</li><li>mean: 27.35 tokens</li><li>max: 53 tokens</li></ul> | <ul><li>min: 8 tokens</li><li>mean: 27.27 tokens</li><li>max: 52 tokens</li></ul> | <ul><li>1: 100.00%</li></ul> | |
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* Samples: |
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| sentence1 | sentence2 | label | |
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|:----------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------|:---------------| |
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| <code>The newer Punts are still very much in existence today and race in the same fleets as the older boats .</code> | <code>The newer punts are still very much in existence today and run in the same fleets as the older boats .</code> | <code>1</code> | |
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| <code>After losing his second election , he resigned as opposition leader and was replaced by Geoff Pearsall .</code> | <code>Max Bingham resigned as opposition leader after losing his second election , and was replaced by Geoff Pearsall .</code> | <code>1</code> | |
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| <code>The 12F was officially homologated on August 21 , 1929 and exhibited at the Paris Salon in 1930 .</code> | <code>The 12F was officially homologated on 21 August 1929 and displayed at the 1930 Paris Salon .</code> | <code>1</code> | |
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* Loss: [<code>MultipleNegativesSymmetricRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativessymmetricrankingloss) with these parameters: |
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```json |
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{ |
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"scale": 20.0, |
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"similarity_fct": "cos_sim", |
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"gather_across_devices": false |
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} |
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``` |
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### Evaluation Dataset |
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#### LangCache Sentence Pairs (all) |
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* Dataset: [LangCache Sentence Pairs (all)](https://huggingface.co/datasets/redis/langcache-sentencepairs-v1) |
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* Size: 26,850 evaluation samples |
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* Columns: <code>sentence1</code>, <code>sentence2</code>, and <code>label</code> |
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* Approximate statistics based on the first 1000 samples: |
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| | sentence1 | sentence2 | label | |
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|:--------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:-----------------------------| |
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| type | string | string | int | |
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| details | <ul><li>min: 8 tokens</li><li>mean: 27.35 tokens</li><li>max: 53 tokens</li></ul> | <ul><li>min: 8 tokens</li><li>mean: 27.27 tokens</li><li>max: 52 tokens</li></ul> | <ul><li>1: 100.00%</li></ul> | |
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* Samples: |
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| sentence1 | sentence2 | label | |
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|:----------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------|:---------------| |
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| <code>The newer Punts are still very much in existence today and race in the same fleets as the older boats .</code> | <code>The newer punts are still very much in existence today and run in the same fleets as the older boats .</code> | <code>1</code> | |
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| <code>After losing his second election , he resigned as opposition leader and was replaced by Geoff Pearsall .</code> | <code>Max Bingham resigned as opposition leader after losing his second election , and was replaced by Geoff Pearsall .</code> | <code>1</code> | |
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| <code>The 12F was officially homologated on August 21 , 1929 and exhibited at the Paris Salon in 1930 .</code> | <code>The 12F was officially homologated on 21 August 1929 and displayed at the 1930 Paris Salon .</code> | <code>1</code> | |
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* Loss: [<code>MultipleNegativesSymmetricRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativessymmetricrankingloss) with these parameters: |
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```json |
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{ |
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"scale": 20.0, |
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"similarity_fct": "cos_sim", |
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"gather_across_devices": false |
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} |
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``` |
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### Training Logs |
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| Epoch | Step | test_cosine_ap | |
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|:-----:|:----:|:--------------:| |
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| -1 | -1 | 0.6474 | |
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### Framework Versions |
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- Python: 3.12.3 |
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- Sentence Transformers: 5.1.0 |
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- Transformers: 4.56.0 |
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- PyTorch: 2.8.0+cu128 |
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- Accelerate: 1.10.1 |
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- Datasets: 4.0.0 |
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- Tokenizers: 0.22.0 |
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## Citation |
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### BibTeX |
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#### Sentence Transformers |
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```bibtex |
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@inproceedings{reimers-2019-sentence-bert, |
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title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks", |
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author = "Reimers, Nils and Gurevych, Iryna", |
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booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing", |
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month = "11", |
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year = "2019", |
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publisher = "Association for Computational Linguistics", |
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url = "https://arxiv.org/abs/1908.10084", |
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} |
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``` |
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## Glossary |
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*Clearly define terms in order to be accessible across audiences.* |
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