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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:3587 |
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- loss:CustomBCELoss |
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base_model: Alibaba-NLP/gte-modernbert-base |
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widget: |
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- source_sentence: Hunter College was originally Lehman College 's uptown campus . |
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sentences: |
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- Acquired programming includes the Irish soap `` Fair City `` and Finnish drama |
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`` Black Widows `` . |
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- According to the United States Census Bureau , the town has a total area of ; |
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of the area is land and 0.66 % is water . |
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- Hunter College originally was Lehman College Uptown Campus . |
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- source_sentence: He hoped to defeat them and then marry Ravonna . |
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sentences: |
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- Stillwater Creek received its official name in 1884 when William L. Couch established |
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his `` boomer colony `` on its banks . |
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- Note that the invertible of a matrix is always an exponential matrix . |
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- He hoped to defeat them and marry Ravonna . |
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- source_sentence: Born on February 2 , 1984 , Abrar Khan is a professional Pakistani |
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international Kabaddi player . |
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sentences: |
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- Born on February 2 , 1984 , Abrar Khan is a professional Pakistani international |
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Kabaddi player . |
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- Together , the paired mylohyoid muscles form a muscular floor for the oral cavity |
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of the mouth . |
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- Abrar Khan born 2 February 1984 is a Pakistani professional international Kabaddi |
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player . |
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- source_sentence: Certainly , `` Lucy was nothing like flat `` in physical form , |
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social condition , and personality . |
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sentences: |
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- The real number is called the `` imaginary part `` of the real number ; the real |
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number is called the `` complex part `` of . |
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- From the Celebes lake , the captain Bullock observed the appearance of the corona |
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, while Gustav Fritsch accompanied an expedition to Aden . |
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- Certainly `` Lucy was , in physical form , social condition and personality , |
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nothing like Shallow `` . |
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- source_sentence: The trio has performed besides Gesaffelstein , Justice , Bob Moses |
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and Lee Foss . |
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sentences: |
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- The trio has performed besides Gesaffelstein , Justice , Bob Moses and Lee Foss |
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. |
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- The suttas generally contain educational content , while other early Buddhist |
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texts deal with monastic discipline or vinaya . |
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- The trio has performed alongside Bob Moses , Justice , Gesaffelstein and Lee Foss |
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. |
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datasets: |
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- redis/langcache-sentencepairs-v2 |
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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@1 |
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- cosine_precision@1 |
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- cosine_recall@1 |
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- cosine_ndcg@10 |
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- cosine_mrr@1 |
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- cosine_map@100 |
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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: information-retrieval |
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name: Information Retrieval |
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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@1 |
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value: 0.5861241448475948 |
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name: Cosine Accuracy@1 |
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- type: cosine_precision@1 |
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value: 0.5861241448475948 |
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name: Cosine Precision@1 |
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- type: cosine_recall@1 |
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value: 0.5679885764966713 |
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name: Cosine Recall@1 |
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- type: cosine_ndcg@10 |
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value: 0.773078207125666 |
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name: Cosine Ndcg@10 |
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- type: cosine_mrr@1 |
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value: 0.5861241448475948 |
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name: Cosine Mrr@1 |
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- type: cosine_map@100 |
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value: 0.7217228927629071 |
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name: Cosine Map@100 |
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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-v2) 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:** 100 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-v2) |
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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': 100, '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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'The trio has performed besides Gesaffelstein , Justice , Bob Moses and Lee Foss .', |
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'The trio has performed besides Gesaffelstein , Justice , Bob Moses and Lee Foss .', |
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'The trio has performed alongside Bob Moses , Justice , Gesaffelstein and Lee Foss .', |
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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([[0.9961, 0.9961, 0.9844], |
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# [0.9961, 0.9961, 0.9844], |
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# [0.9844, 0.9844, 0.9961]], 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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#### Information Retrieval |
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* Dataset: `test` |
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* Evaluated with [<code>InformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator) |
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| Metric | Value | |
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|:-------------------|:-----------| |
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| cosine_accuracy@1 | 0.5861 | |
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| cosine_precision@1 | 0.5861 | |
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| cosine_recall@1 | 0.568 | |
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| **cosine_ndcg@10** | **0.7731** | |
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| cosine_mrr@1 | 0.5861 | |
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| cosine_map@100 | 0.7217 | |
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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-v2) |
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* Size: 1,922 training samples |
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* Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code> |
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* Approximate statistics based on the first 1000 samples: |
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| | anchor | positive | negative | |
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|:--------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------| |
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| type | string | string | string | |
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| details | <ul><li>min: 8 tokens</li><li>mean: 27.26 tokens</li><li>max: 49 tokens</li></ul> | <ul><li>min: 8 tokens</li><li>mean: 27.24 tokens</li><li>max: 49 tokens</li></ul> | <ul><li>min: 9 tokens</li><li>mean: 27.09 tokens</li><li>max: 49 tokens</li></ul> | |
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* Samples: |
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| anchor | positive | negative | |
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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>At that time , on June 22 , 1754 , Edward Bentham married Bentham Elizabeth Bates ( d . 1790 ) from Hampshire in the nearby county of Alton .</code> | |
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| <code>The newer punts are still very much in existence today and run in the same fleets as the older boats .</code> | <code>The newer Punts are still very much in existence today and race in the same fleets as the older boats .</code> | <code>In 2012 , Cornell 5th and Lehigh 8th , Cornell was also 4th in 2013 and 7th in 2014 .</code> | |
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| <code>Turner Valley , was at the Turner Valley Bar N Ranch Airport , southwest of the Turner Valley Bar N Ranch , Alberta , Canada .</code> | <code>Turner Valley , was at the Turner Valley Bar N Ranch Airport , southwest of the Turner Valley Bar N Ranch , Alberta , Canada .</code> | <code>Turner Valley Bar N Ranch Airport , , was located at Turner Valley Bar N Ranch , southwest of Turner Valley , Alberta , Canada .</code> | |
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* Loss: <code>losses.CustomBCELoss</code> |
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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-v2) |
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* Size: 1,922 evaluation samples |
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* Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code> |
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* Approximate statistics based on the first 1000 samples: |
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| | anchor | positive | negative | |
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|:--------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------| |
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| type | string | string | string | |
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| details | <ul><li>min: 8 tokens</li><li>mean: 27.26 tokens</li><li>max: 49 tokens</li></ul> | <ul><li>min: 8 tokens</li><li>mean: 27.24 tokens</li><li>max: 49 tokens</li></ul> | <ul><li>min: 9 tokens</li><li>mean: 27.09 tokens</li><li>max: 49 tokens</li></ul> | |
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* Samples: |
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| anchor | positive | negative | |
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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>At that time , on June 22 , 1754 , Edward Bentham married Bentham Elizabeth Bates ( d . 1790 ) from Hampshire in the nearby county of Alton .</code> | |
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| <code>The newer punts are still very much in existence today and run in the same fleets as the older boats .</code> | <code>The newer Punts are still very much in existence today and race in the same fleets as the older boats .</code> | <code>In 2012 , Cornell 5th and Lehigh 8th , Cornell was also 4th in 2013 and 7th in 2014 .</code> | |
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| <code>Turner Valley , was at the Turner Valley Bar N Ranch Airport , southwest of the Turner Valley Bar N Ranch , Alberta , Canada .</code> | <code>Turner Valley , was at the Turner Valley Bar N Ranch Airport , southwest of the Turner Valley Bar N Ranch , Alberta , Canada .</code> | <code>Turner Valley Bar N Ranch Airport , , was located at Turner Valley Bar N Ranch , southwest of Turner Valley , Alberta , Canada .</code> | |
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* Loss: <code>losses.CustomBCELoss</code> |
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### Training Logs |
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| Epoch | Step | test_cosine_ndcg@10 | |
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|:-----:|:----:|:-------------------:| |
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| -1 | -1 | 0.7731 | |
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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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*Clearly define terms in order to be accessible across audiences.* |
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