--- language: - en license: apache-2.0 tags: - sentence-transformers - sentence-similarity - feature-extraction - generated_from_trainer - dataset_size:17198 - loss:MatryoshkaLoss - loss:MultipleNegativesRankingLoss base_model: BAAI/bge-base-en-v1.5 widget: - source_sentence: How should we proceed if the installed valve or its appurtenances do not conform to the City's criteria, and what steps are involved in remedying the situation? sentences: - '1.1 SUMMARY: 2. The valve shall perform as intended with no deformation, leaking or damage of any kind for the pressure ranges indicated. 3. Before acceptance of the installed valve, provide the City the opportunity to inspect and operate the valve. a. The City will assess the ease of operating the ball valves and corporation stops, where applicable. 4. The Combination Air Valve assembly shall be free from any leaks. B. Non-Conforming Work 1. Ifaccess and operation of the valve or its appurtenances does not meet the City''s criteria, the Contractor will remedy the situation until it meets the City''s criteria, at the Contractor''s expense. 3.8. SYSTEM STARTUP [NOT USED] 3.9 ADJUSTING [NOT USED] 3.10 CLEANING [NOT USED] 3.11 CLOSEOUT ACTIVITIES [NOT USED] 3.12, PROTECTION [NOT USED] 3.13 MAINTENANCE [NOT USED] 3.14 ATTACHMENTS [NOT USED]' - 'b. Miscellaneous Areas: layer.. , 1 = . , 2 = 3). , 3 = Take corrective action if an adequate bond does not exist between the. , 1 = . , 2 = . , 3 = current and underlying layer to ensure an adequate bond will be achieved. , 1 = . , 2 = . , 3 = during subsequent placement operations.. , 1 = . , 2 = 4). , 3 = The untrimmed core height must be in accordance with the requirements in. , 1 = . , 2 = . , 3 = Table 17.. , 1 = . , 2 = 5). , 3 = If the cores are an acceptable height, trim the cores immediately after. , 1 = . , 2 = . , 3 = obtaining the cores in accordance with Tex-207-F.. , 1 = . , 2 = . , 3 = Any core that does not meet the requirements in Table 17 will be rejected.. , 1 = . , 2 = 6). , 3 = more. , 1 = . , 2 = . , 3 = The City may request additional cores to be taken within the area. If. , 1 = . , 2 = 7). , 3 = than 2 cores are' - '4. Other Activities: a. Rental of storage units, rental of storage space for recreational vehicles (RV) and boats, and the sale of moving related items are allowed uses. b. No other land use or business activity within storage units is allowed. c. The rental of moving trucks and moving related equipment shall constitute an Equipment Sales and Rental use. d. The sale and leasing of recreational vehicles (RVs) and boats shall constitute an Automotive Sales and Leasing use.' - source_sentence: How do the setback regulations in the R1 District affect the design and placement of structures on the lot? sentences: - 'B. R11 District Dimensional Standards: Table 3.2-B: R1 District Dimensional Standards, 1 = Table 3.2-B: R1 District Dimensional Standards. Table 3.2-B: R1 District Dimensional Standards, 2 = Table 3.2-B: R1 District Dimensional Standards. Table 3.2-B: R1 District Dimensional Standards, 3 = Table 3.2-B: R1 District Dimensional Standards. Dimensional Standards, 1 = Dimensional Standards. Dimensional Standards, 2 = Dimensional Standards. Dimensional Standards, 3 = Additional Standards. LOT DIMENSIONS (MINIMUM), 1 = LOT DIMENSIONS (MINIMUM). LOT DIMENSIONS (MINIMUM), 2 = LOT DIMENSIONS (MINIMUM). LOT DIMENSIONS (MINIMUM), 3 = LOT DIMENSIONS (MINIMUM). oN, 1 = Lot area. oN, 2 = 32,000 sq ft. oN, 3 = 3.7.2: Lot and Site Requirements. iam, 1 = Lot width. iam, 2 = 80 feet. iam, 3 = 3.7.2: Lot and Site Requirements. fem, 1 = Lot depth 100. fem, 2 = feet. fem, 3 = 3.7.2: Lot and Site Requirements. SETBACKS' - '1. R7 Zoning District: Self-service laundry facilities shall only be permitted as an accessory use to multifamily dwellings, and such use shall be located within a multifamily structure.' - '1.3 > REFERENCES: NY, 1 = A.. NY, 2 = Abbreviations and Acronyms 1. AWG: American wire gauge 2.. Fw, 1 = . Fw, 2 = PVC: polyvinyl chloride. UN, 1 = Reference Standards. UN, 2 = Reference Standards. COAINID, 1 = 1.. COAINID, 2 = Reference standards cited in this Section refer to the current reference standard published at the time of the latest revision date logged at the end of this Section unless a date is cited.. , 1 = 2.. , 2 = specifically Texas Department of Transportation, Standard Specifications for Construction and Maintenance of Highways, Streets and Bridges (TxDOT):. , 1 = a.. , 2 = Item 684, Traffic Signal Cables. 3. TxDOT Departmental Materials Specification:. , 1 = 4.. , 2 = Underwriters Laboratories, Inc.. , 1 = . , 2 = (UL).. , 1 = 5.. , 2 = International Municipal Signal Association (IMSA).. , 1 = ADMINISTRATIVE REQUIREMENTS [NOT USED]. , 2 = ADMINISTRATIVE REQUIREMENTS [NOT USED]. , 1 = SUBMITTALS. , 2 = SUBMITTALS.' - source_sentence: How do the Dimensional Standards apply to our development project in the specified zoning districts? sentences: - 'v = Entire Site = Development Impact Area Only: . . Dimensional Standards, DDC Reference = Subchapter 3: Zoning Districts. . . Dimensional Standards, New A Construction = Vv. . . Dimensional Standards, Minor: Tier 1 = 0). . . Dimensional Standards, Major: Tier 2 = v. Land-Disturbing Activities, DDC Reference = 7.2. Land-Disturbing Activities, New A Construction = All development, see Section 7.2. Land-Disturbing Activities, Minor: Tier 1 = All development, see Section 7.2. Land-Disturbing Activities, Major: Tier 2 = All development, see Section 7.2. Environmentally Sensitive Areas, DDC Reference = 74. Environmentally Sensitive Areas, New A Construction = All development, see Section 7.4. Environmentally Sensitive Areas, Minor: Tier 1 = . Environmentally Sensitive Areas, Major: Tier 2 = . Drainage, DDC Reference = 74. Drainage, New A Construction = All development, see Section 7.4. Drainage, Minor: Tier 1 = . Drainage, Major: Tier 2 = . Water and Wastewater, DDC Reference = 7.6. Water and Wastewater, New A Construction = All development,' - '3. Step 3: Determination of Procedure: Upon receipt of a complete application for a Certificate of Design Consistency, the Director must determine the appropriate review procedure prescribed by sections 2.10.1.D.3.a-d below. Denton, Texas — Denton Development Code Print Date: August 30, 2024 136' - '4B A. Tests and Inspections: CITY OF DENTON STANDARD CONSTRUCTION SPECIFICATION DOCUMENTS Revised October 22, 2020 Effective July 1, 2024 [Insert Bid Number] [Insert Engineering Project Number] 3.5 REPAIR 33 31 23 COMBINATION AIR VALVE ASSEMBLIES FOR SEWER FORCE MAINS Page 6 of 7 1. Testing and inspection of Combination Air Valves shall be in accordance with AWWA C512.' - source_sentence: How do the regulations for Light Industrial (LI) and Heavy Industrial (HI) districts differ in terms of permitted uses and development standards? sentences: - 'This print version includes the following Code amendments:: Other Nonresidential Districts. , 3 = . , 1 = 3.5.1 GO - General Office... , 2 = 3.5.1 GO - General Office... , 3 = . , 1 = - LI - Light Industrial. , 2 = - LI - Light Industrial. , 3 = . , 1 = 3.5.2. , 2 = . , 3 = . , 1 = 3.5.3.. , 2 = HI - Heavy Industrial. , 3 = . , 1 = 3.5.4. , 2 = PF - Public Facilities.. , 3 = oa. , 1 = Summary -. , 2 = Summary -. , 3 = . 3.6, 1 = PD Planned Development District. 3.6, 2 = PD Planned Development District. 3.6, 3 = . , 1 = 3.6.1 Purpose... seeesesnsnseeeenens Review Procedure ... esse. , 2 = 3.6.1 Purpose... seeesesnsnseeeenens Review Procedure ... esse. , 3 = . , 1 = 3.6.2. , 2 = .' - '1.1 SUMMARY: AADUNAPWNK, 1 = . AADUNAPWNK, 2 = . AADUNAPWNK, 3 = ensure the conduit is clean and free from obstructions.. , 1 = . , 2 = . , 3 = 17) Conduits shall be placed in an open trench at a minimum 24 inches (612. , 1 = . , 2 = . , 3 = mm) depth below the curb grade in the sidewalk areas, or 18 inches (450 mm) below the finished street grade in the street area.. PW CUO, 1 = . PW CUO, 2 = 18). PW CUO, 3 = Conduit placed for concrete encasement shall be secured and supported in. HP, 1 = . HP, 2 = . HP, 3 = such a manner the alignment will not be disturbed during placement of the. , 1 = . , 2 = . , 3 = concrete.. CPAIANDNAHBPWNYRK, 1 = . CPAIANDNAHBPWNYRK, 2 = . CPAIANDNAHBPWNYRK, 3 = Noconcrete shall be until all conduit ends have been and. , 1 = . ,' - 'E. Water Control: 1. Surface Water a. Furnish all materials and equipment and perform all incidental work required to direct surface water away from the excavation.' - source_sentence: How can I ensure that the curing compound we receive at the job site meets the required specifications with the manufacturer's original containers and labels intact? sentences: - 'B. Exemptions: Unless otherwise provided in this DDC, the following shall be exempt from the provisions of this Section 7.3: Land-Disturbing Activities: 1. Grading and clearing in emergency situations involving immediate danger to life and property or substantial fire hazards; 2. Any activity where the total volume of material disturbed, stored, disposed of or used as fill does not exceed 25 cubic yards and the area disturbed does not exceed 2,000 square feet, provided it does not obstruct a watercourse and is not located in a floodplain or other environmentally sensitive area; 3. Soil-disturbing activities, excluding tree removal, that are associated with normal agricultural crop operations; or 4. Stockpiling and handling of earth material associated with commercial quarry and landfill operations licensed under the state. Denton, Texas — Denton Development Code Print Date: August 30, 2024 353' - '8. Curing: 03 00 00 CONCRETE AND CONCRETE REINFORCING Page 10 of 18 6) Curing compound to be delivered to the job site in the manufacturer''s original containers only, with original label containing the following: a) Manufacturer''s name b) Trade name of the material c) Batch number or symbol with which test samples may be correlated' - '2. For Large Wind Energy Systems: a. The minimum acreage for a large wind system shall be established based on the setbacks of the turbine(s) and the height of the turbine(s); b. All turbines located within the same large wind system property shall be of a similar tower design, including the type, number of blades, and direction of blade rotation; c. Large wind systems shall be setback at least one and one-half times the height of the turbine and rotor diameter from the property line. Large wind systems shall also be setback at least one and one-half times the height of the turbine from above ground telephone, electrical lines, and other uninhabitable structures; d. Towers shall not be climbable up to 15 feet above ground level.' pipeline_tag: sentence-similarity library_name: sentence-transformers metrics: - cosine_accuracy@1 - cosine_accuracy@3 - cosine_accuracy@5 - cosine_accuracy@10 - cosine_precision@1 - cosine_precision@3 - cosine_precision@5 - cosine_precision@10 - cosine_recall@1 - cosine_recall@3 - cosine_recall@5 - cosine_recall@10 - cosine_ndcg@1 - cosine_ndcg@3 - cosine_ndcg@5 - cosine_ndcg@10 - cosine_mrr@1 - cosine_mrr@3 - cosine_mrr@5 - cosine_mrr@10 - cosine_map@100 model-index: - name: worksphere results: - task: type: information-retrieval name: Information Retrieval dataset: name: dim 1024 type: dim_1024 metrics: - type: cosine_accuracy@1 value: 0.030697674418604652 name: Cosine Accuracy@1 - type: cosine_accuracy@3 value: 0.3986046511627907 name: Cosine Accuracy@3 - type: cosine_accuracy@5 value: 0.5774418604651163 name: Cosine Accuracy@5 - type: cosine_accuracy@10 value: 0.7881395348837209 name: Cosine Accuracy@10 - type: cosine_precision@1 value: 0.030697674418604652 name: Cosine Precision@1 - type: cosine_precision@3 value: 0.13286821705426355 name: Cosine Precision@3 - type: cosine_precision@5 value: 0.11548837209302326 name: Cosine Precision@5 - type: cosine_precision@10 value: 0.07881395348837208 name: Cosine Precision@10 - type: cosine_recall@1 value: 0.030697674418604652 name: Cosine Recall@1 - type: cosine_recall@3 value: 0.3986046511627907 name: Cosine Recall@3 - type: cosine_recall@5 value: 0.5774418604651163 name: Cosine Recall@5 - type: cosine_recall@10 value: 0.7881395348837209 name: Cosine Recall@10 - type: cosine_ndcg@1 value: 0.030697674418604652 name: Cosine Ndcg@1 - type: cosine_ndcg@3 value: 0.23179382587458858 name: Cosine Ndcg@3 - type: cosine_ndcg@5 value: 0.3040553564598666 name: Cosine Ndcg@5 - type: cosine_ndcg@10 value: 0.37531956376470604 name: Cosine Ndcg@10 - type: cosine_mrr@1 value: 0.030697674418604652 name: Cosine Mrr@1 - type: cosine_mrr@3 value: 0.17515503875969318 name: Cosine Mrr@3 - type: cosine_mrr@5 value: 0.21443410852713862 name: Cosine Mrr@5 - type: cosine_mrr@10 value: 0.24572388335179296 name: Cosine Mrr@10 - type: cosine_map@100 value: 0.2550755013176846 name: Cosine Map@100 - task: type: information-retrieval name: Information Retrieval dataset: name: dim 768 type: dim_768 metrics: - type: cosine_accuracy@1 value: 0.030697674418604652 name: Cosine Accuracy@1 - type: cosine_accuracy@3 value: 0.3986046511627907 name: Cosine Accuracy@3 - type: cosine_accuracy@5 value: 0.5774418604651163 name: Cosine Accuracy@5 - type: cosine_accuracy@10 value: 0.7881395348837209 name: Cosine Accuracy@10 - type: cosine_precision@1 value: 0.030697674418604652 name: Cosine Precision@1 - type: cosine_precision@3 value: 0.13286821705426355 name: Cosine Precision@3 - type: cosine_precision@5 value: 0.11548837209302326 name: Cosine Precision@5 - type: cosine_precision@10 value: 0.07881395348837208 name: Cosine Precision@10 - type: cosine_recall@1 value: 0.030697674418604652 name: Cosine Recall@1 - type: cosine_recall@3 value: 0.3986046511627907 name: Cosine Recall@3 - type: cosine_recall@5 value: 0.5774418604651163 name: Cosine Recall@5 - type: cosine_recall@10 value: 0.7881395348837209 name: Cosine Recall@10 - type: cosine_ndcg@1 value: 0.030697674418604652 name: Cosine Ndcg@1 - type: cosine_ndcg@3 value: 0.23179382587458858 name: Cosine Ndcg@3 - type: cosine_ndcg@5 value: 0.3040553564598666 name: Cosine Ndcg@5 - type: cosine_ndcg@10 value: 0.37531956376470604 name: Cosine Ndcg@10 - type: cosine_mrr@1 value: 0.030697674418604652 name: Cosine Mrr@1 - type: cosine_mrr@3 value: 0.17515503875969318 name: Cosine Mrr@3 - type: cosine_mrr@5 value: 0.21443410852713862 name: Cosine Mrr@5 - type: cosine_mrr@10 value: 0.24572388335179296 name: Cosine Mrr@10 - type: cosine_map@100 value: 0.2550755013176846 name: Cosine Map@100 - task: type: information-retrieval name: Information Retrieval dataset: name: dim 512 type: dim_512 metrics: - type: cosine_accuracy@1 value: 0.03 name: Cosine Accuracy@1 - type: cosine_accuracy@3 value: 0.39069767441860465 name: Cosine Accuracy@3 - type: cosine_accuracy@5 value: 0.5644186046511628 name: Cosine Accuracy@5 - type: cosine_accuracy@10 value: 0.781860465116279 name: Cosine Accuracy@10 - type: cosine_precision@1 value: 0.03 name: Cosine Precision@1 - type: cosine_precision@3 value: 0.13023255813953488 name: Cosine Precision@3 - type: cosine_precision@5 value: 0.11288372093023255 name: Cosine Precision@5 - type: cosine_precision@10 value: 0.0781860465116279 name: Cosine Precision@10 - type: cosine_recall@1 value: 0.03 name: Cosine Recall@1 - type: cosine_recall@3 value: 0.39069767441860465 name: Cosine Recall@3 - type: cosine_recall@5 value: 0.5644186046511628 name: Cosine Recall@5 - type: cosine_recall@10 value: 0.781860465116279 name: Cosine Recall@10 - type: cosine_ndcg@1 value: 0.03 name: Cosine Ndcg@1 - type: cosine_ndcg@3 value: 0.22663893445598368 name: Cosine Ndcg@3 - type: cosine_ndcg@5 value: 0.2968091108509391 name: Cosine Ndcg@5 - type: cosine_ndcg@10 value: 0.37060640353852903 name: Cosine Ndcg@10 - type: cosine_mrr@1 value: 0.03 name: Cosine Mrr@1 - type: cosine_mrr@3 value: 0.17096899224806486 name: Cosine Mrr@3 - type: cosine_mrr@5 value: 0.20909689922481253 name: Cosine Mrr@5 - type: cosine_mrr@10 value: 0.2416426725729079 name: Cosine Mrr@10 - type: cosine_map@100 value: 0.2512032580492767 name: Cosine Map@100 - task: type: information-retrieval name: Information Retrieval dataset: name: dim 256 type: dim_256 metrics: - type: cosine_accuracy@1 value: 0.029534883720930234 name: Cosine Accuracy@1 - type: cosine_accuracy@3 value: 0.3774418604651163 name: Cosine Accuracy@3 - type: cosine_accuracy@5 value: 0.5502325581395349 name: Cosine Accuracy@5 - type: cosine_accuracy@10 value: 0.7644186046511627 name: Cosine Accuracy@10 - type: cosine_precision@1 value: 0.029534883720930234 name: Cosine Precision@1 - type: cosine_precision@3 value: 0.1258139534883721 name: Cosine Precision@3 - type: cosine_precision@5 value: 0.11004651162790699 name: Cosine Precision@5 - type: cosine_precision@10 value: 0.07644186046511628 name: Cosine Precision@10 - type: cosine_recall@1 value: 0.029534883720930234 name: Cosine Recall@1 - type: cosine_recall@3 value: 0.3774418604651163 name: Cosine Recall@3 - type: cosine_recall@5 value: 0.5502325581395349 name: Cosine Recall@5 - type: cosine_recall@10 value: 0.7644186046511627 name: Cosine Recall@10 - type: cosine_ndcg@1 value: 0.029534883720930234 name: Cosine Ndcg@1 - type: cosine_ndcg@3 value: 0.21910859618189715 name: Cosine Ndcg@3 - type: cosine_ndcg@5 value: 0.2887354612410299 name: Cosine Ndcg@5 - type: cosine_ndcg@10 value: 0.3613007541197287 name: Cosine Ndcg@10 - type: cosine_mrr@1 value: 0.029534883720930234 name: Cosine Mrr@1 - type: cosine_mrr@3 value: 0.16538759689922747 name: Cosine Mrr@3 - type: cosine_mrr@5 value: 0.20312015503876593 name: Cosine Mrr@5 - type: cosine_mrr@10 value: 0.23504817275747772 name: Cosine Mrr@10 - type: cosine_map@100 value: 0.2452995067602724 name: Cosine Map@100 --- # worksphere This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [BAAI/bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5). It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more. ## Model Details ### Model Description - **Model Type:** Sentence Transformer - **Base model:** [BAAI/bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5) - **Maximum Sequence Length:** 512 tokens - **Output Dimensionality:** 768 dimensions - **Similarity Function:** Cosine Similarity - **Language:** en - **License:** apache-2.0 ### Model Sources - **Documentation:** [Sentence Transformers Documentation](https://sbert.net) - **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers) - **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers) ### Full Model Architecture ``` SentenceTransformer( (0): Transformer({'max_seq_length': 512, 'do_lower_case': True}) with Transformer model: BertModel (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}) (2): Normalize() ) ``` ## Usage ### Direct Usage (Sentence Transformers) First install the Sentence Transformers library: ```bash pip install -U sentence-transformers ``` Then you can load this model and run inference. ```python from sentence_transformers import SentenceTransformer # Download from the 🤗 Hub model = SentenceTransformer("sabber/worksphere-regulations-embedding_bge") # Run inference sentences = [ "How can I ensure that the curing compound we receive at the job site meets the required specifications with the manufacturer's original containers and labels intact?", "8. Curing:\n03 00 00\nCONCRETE AND CONCRETE REINFORCING\nPage 10 of 18\n6) Curing compound to be delivered to the job site in the manufacturer's original containers only, with original label containing the following:\na) Manufacturer's name\nb) Trade name of the material\nc) Batch number or symbol with which test samples may be correlated", '2. For Large Wind Energy Systems:\na. The minimum acreage for a large wind system shall be established based on the setbacks of the turbine(s) and the height of the turbine(s);\nb. All turbines located within the same large wind system property shall be of a similar tower design, including the type, number of blades, and direction of blade rotation;\nc. Large wind systems shall be setback at least one and one-half times the height of the turbine and rotor diameter from the property line. Large wind systems shall also be setback at least one and one-half times the height of the turbine from above ground telephone, electrical lines, and other uninhabitable structures;\nd. Towers shall not be climbable up to 15 feet above ground level.', ] embeddings = model.encode(sentences) print(embeddings.shape) # [3, 768] # Get the similarity scores for the embeddings similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] ``` ## Evaluation ### Metrics #### Information Retrieval * Datasets: `dim_1024`, `dim_768`, `dim_512` and `dim_256` * Evaluated with [InformationRetrievalEvaluator](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator) | Metric | dim_1024 | dim_768 | dim_512 | dim_256 | |:--------------------|:-----------|:-----------|:-----------|:-----------| | cosine_accuracy@1 | 0.0307 | 0.0307 | 0.03 | 0.0295 | | cosine_accuracy@3 | 0.3986 | 0.3986 | 0.3907 | 0.3774 | | cosine_accuracy@5 | 0.5774 | 0.5774 | 0.5644 | 0.5502 | | cosine_accuracy@10 | 0.7881 | 0.7881 | 0.7819 | 0.7644 | | cosine_precision@1 | 0.0307 | 0.0307 | 0.03 | 0.0295 | | cosine_precision@3 | 0.1329 | 0.1329 | 0.1302 | 0.1258 | | cosine_precision@5 | 0.1155 | 0.1155 | 0.1129 | 0.11 | | cosine_precision@10 | 0.0788 | 0.0788 | 0.0782 | 0.0764 | | cosine_recall@1 | 0.0307 | 0.0307 | 0.03 | 0.0295 | | cosine_recall@3 | 0.3986 | 0.3986 | 0.3907 | 0.3774 | | cosine_recall@5 | 0.5774 | 0.5774 | 0.5644 | 0.5502 | | cosine_recall@10 | 0.7881 | 0.7881 | 0.7819 | 0.7644 | | cosine_ndcg@1 | 0.0307 | 0.0307 | 0.03 | 0.0295 | | cosine_ndcg@3 | 0.2318 | 0.2318 | 0.2266 | 0.2191 | | cosine_ndcg@5 | 0.3041 | 0.3041 | 0.2968 | 0.2887 | | **cosine_ndcg@10** | **0.3753** | **0.3753** | **0.3706** | **0.3613** | | cosine_mrr@1 | 0.0307 | 0.0307 | 0.03 | 0.0295 | | cosine_mrr@3 | 0.1752 | 0.1752 | 0.171 | 0.1654 | | cosine_mrr@5 | 0.2144 | 0.2144 | 0.2091 | 0.2031 | | cosine_mrr@10 | 0.2457 | 0.2457 | 0.2416 | 0.235 | | cosine_map@100 | 0.2551 | 0.2551 | 0.2512 | 0.2453 | ## Training Details ### Training Dataset #### Unnamed Dataset * Size: 17,198 training samples * Columns: question and context * Approximate statistics based on the first 1000 samples: | | question | context | |:--------|:----------------------------------------------------------------------------------|:------------------------------------------------------------------------------------| | type | string | string | | details | | | * Samples: | question | context | |:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | Are there any specific guidelines or requirements for the installation of tree supports as outlined in the regulations? | SECTION 32 93 00:
Cast-in-Place 31 25 14 - Erosion and 32 13 13 - Concrete Paving. 32 13 16 - Decorative Concrete. a. Measurement 1) Measured per each Tree planted. b. Payment 1) The work performed and materials and measured as provided under price bid per each for Tree 2) Various caliper inches. The price bid shall include: 1) Furnishing and installing Tree as 2) Preparing excavation pit 3) Topsoil, fertilizer, mulch, and planting mix, 1 = . , 1 = Tree. , 1 = furnished in accordance with this item "Measurement" will be paid for at the unit for:. planted, 1 = . specified, 1 = . by the Drawings, 1 = . supports, 1 = . [Insert Bid Number], 1 = . [Insert, 1 = . 4), 1 = Plant. Number], 1 = Number]. Engineering Project, 1 = Engineering Project
Effective July 1, 2024
32 93 00
PLANTINGS
Page 2 of 24
eee
BER
BPRERR | | What specific information do I need to include in my application to meet the standards for grouted installations? | 1.1 SUMMARY:
= . 36, 2 = . 36, 3 = (1) requirements a qualified testing laboratory.. 37, 1 = . 37, 2 = . 37, 3 = Submit a minimum of 3 other similar projects where the proposed grout mix. 38, 1 = . 38, 2 = . 38, 3 = design was used.. 39 40, 1 = . 39 40, 2 = . 39 40, 3 = anticipated volumes of grout to be pumped for each. , 1 = . , 2 = . , 3 = Submit application and reach grouted.. 41, 1 = 4.. 41, 2 = . 41, 3 = Additional requirements for installations of carrier pipe 24-inch and larger:. 42, 1 = . 42, 2 = a.. 42, 3 = Submit work plan describing the carrier pipe installation equipment, materials. 43 44, 1 = . 43 44, 2 = b.. 43 44, 3 = employed. For installations without holding jacks or a restrained spacer, provide buoyant
CITY OF DENTON STANDARD CONSTRUCTION SPECIFICATION DOCUMENTS Revised October 22, 2020 Effective July 1, 2024
[Insert Engineering Project Number] [Insert Bid Number]
eK
BWN
nA
20
21
22
23
24 | | In the event of a quasi judicial hearing, who else besides the site owner(s) should we inform about the decision notification process, and how do we manage their requests for a copy of the decision? | Notice of Decision:
1. Within 10 days after a final decision on an application, the Director shall provide written notification of the decision, unless the applicant was present at the meeting where the decision was made or required by law.
2. If the review involves a quasi-judicial hearing, the Director shall, within 10 days after a final decision on the application, provide a written notification of the decision to the owner(s) of the subject site (unless the applicant was present at the meeting where the decision was made or required by law), and any other person that submitted a written request for a copy of the decision before its effective date. | * Loss: [MatryoshkaLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#matryoshkaloss) with these parameters: ```json { "loss": "MultipleNegativesRankingLoss", "matryoshka_dims": [ 768, 512, 256 ], "matryoshka_weights": [ 1, 1, 1 ], "n_dims_per_step": -1 } ``` ### Training Hyperparameters #### Non-Default Hyperparameters - `eval_strategy`: epoch - `per_device_train_batch_size`: 32 - `per_device_eval_batch_size`: 16 - `gradient_accumulation_steps`: 16 - `learning_rate`: 2e-05 - `num_train_epochs`: 8 - `lr_scheduler_type`: cosine - `warmup_ratio`: 0.1 - `bf16`: True - `tf32`: True - `load_best_model_at_end`: True - `optim`: adamw_torch_fused - `batch_sampler`: no_duplicates #### All Hyperparameters
Click to expand - `overwrite_output_dir`: False - `do_predict`: False - `eval_strategy`: epoch - `prediction_loss_only`: True - `per_device_train_batch_size`: 32 - `per_device_eval_batch_size`: 16 - `per_gpu_train_batch_size`: None - `per_gpu_eval_batch_size`: None - `gradient_accumulation_steps`: 16 - `eval_accumulation_steps`: None - `learning_rate`: 2e-05 - `weight_decay`: 0.0 - `adam_beta1`: 0.9 - `adam_beta2`: 0.999 - `adam_epsilon`: 1e-08 - `max_grad_norm`: 1.0 - `num_train_epochs`: 8 - `max_steps`: -1 - `lr_scheduler_type`: cosine - `lr_scheduler_kwargs`: {} - `warmup_ratio`: 0.1 - `warmup_steps`: 0 - `log_level`: passive - `log_level_replica`: warning - `log_on_each_node`: True - `logging_nan_inf_filter`: True - `save_safetensors`: True - `save_on_each_node`: False - `save_only_model`: False - `restore_callback_states_from_checkpoint`: False - `no_cuda`: False - `use_cpu`: False - `use_mps_device`: False - `seed`: 42 - `data_seed`: None - `jit_mode_eval`: False - `use_ipex`: False - `bf16`: True - `fp16`: False - `fp16_opt_level`: O1 - `half_precision_backend`: auto - `bf16_full_eval`: False - `fp16_full_eval`: False - `tf32`: True - `local_rank`: 0 - `ddp_backend`: None - `tpu_num_cores`: None - `tpu_metrics_debug`: False - `debug`: [] - `dataloader_drop_last`: False - `dataloader_num_workers`: 0 - `dataloader_prefetch_factor`: None - `past_index`: -1 - `disable_tqdm`: False - `remove_unused_columns`: True - `label_names`: None - `load_best_model_at_end`: True - `ignore_data_skip`: False - `fsdp`: [] - `fsdp_min_num_params`: 0 - `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False} - `fsdp_transformer_layer_cls_to_wrap`: None - `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None} - `deepspeed`: None - `label_smoothing_factor`: 0.0 - `optim`: adamw_torch_fused - `optim_args`: None - `adafactor`: False - `group_by_length`: False - `length_column_name`: length - `ddp_find_unused_parameters`: None - `ddp_bucket_cap_mb`: None - `ddp_broadcast_buffers`: False - `dataloader_pin_memory`: True - `dataloader_persistent_workers`: False - `skip_memory_metrics`: True - `use_legacy_prediction_loop`: False - `push_to_hub`: False - `resume_from_checkpoint`: None - `hub_model_id`: None - `hub_strategy`: every_save - `hub_private_repo`: False - `hub_always_push`: False - `gradient_checkpointing`: False - `gradient_checkpointing_kwargs`: None - `include_inputs_for_metrics`: False - `eval_do_concat_batches`: True - `fp16_backend`: auto - `push_to_hub_model_id`: None - `push_to_hub_organization`: None - `mp_parameters`: - `auto_find_batch_size`: False - `full_determinism`: False - `torchdynamo`: None - `ray_scope`: last - `ddp_timeout`: 1800 - `torch_compile`: False - `torch_compile_backend`: None - `torch_compile_mode`: None - `dispatch_batches`: None - `split_batches`: None - `include_tokens_per_second`: False - `include_num_input_tokens_seen`: False - `neftune_noise_alpha`: None - `optim_target_modules`: None - `batch_eval_metrics`: False - `prompts`: None - `batch_sampler`: no_duplicates - `multi_dataset_batch_sampler`: proportional
### Training Logs | Epoch | Step | Training Loss | dim_1024_cosine_ndcg@10 | dim_768_cosine_ndcg@10 | dim_512_cosine_ndcg@10 | dim_256_cosine_ndcg@10 | |:----------:|:-------:|:-------------:|:-----------------------:|:----------------------:|:----------------------:|:----------------------:| | 0.2974 | 10 | 2.3168 | - | - | - | - | | 0.5948 | 20 | 1.2839 | - | - | - | - | | 0.8922 | 30 | 0.6758 | - | - | - | - | | 0.9814 | 33 | - | 0.3592 | 0.3592 | 0.3556 | 0.3496 | | 1.1896 | 40 | 0.4651 | - | - | - | - | | 1.4870 | 50 | 0.3707 | - | - | - | - | | 1.7844 | 60 | 0.2941 | - | - | - | - | | 1.9926 | 67 | - | 0.3732 | 0.3732 | 0.3699 | 0.3601 | | 2.0818 | 70 | 0.2651 | - | - | - | - | | 2.3792 | 80 | 0.2341 | - | - | - | - | | 2.6766 | 90 | 0.2093 | - | - | - | - | | 2.9740 | 100 | 0.1812 | 0.3747 | 0.3747 | 0.3718 | 0.3626 | | 3.2714 | 110 | 0.1717 | - | - | - | - | | 3.5688 | 120 | 0.1496 | - | - | - | - | | 3.8662 | 130 | 0.1472 | - | - | - | - | | 3.9851 | 134 | - | 0.3742 | 0.3742 | 0.3727 | 0.3628 | | 4.1636 | 140 | 0.1304 | - | - | - | - | | 4.4610 | 150 | 0.1229 | - | - | - | - | | 4.7584 | 160 | 0.1085 | - | - | - | - | | **4.9963** | **168** | **-** | **0.3745** | **0.3745** | **0.3717** | **0.361** | | 5.0558 | 170 | 0.1144 | - | - | - | - | | 5.3532 | 180 | 0.1088 | - | - | - | - | | 5.6506 | 190 | 0.0937 | - | - | - | - | | 5.9480 | 200 | 0.1023 | - | - | - | - | | 5.9777 | 201 | - | 0.3749 | 0.3749 | 0.3704 | 0.3603 | | 6.2454 | 210 | 0.0942 | - | - | - | - | | 6.5428 | 220 | 0.0919 | - | - | - | - | | 6.8401 | 230 | 0.0939 | - | - | - | - | | 6.9888 | 235 | - | 0.3755 | 0.3755 | 0.3705 | 0.3603 | | 7.1375 | 240 | 0.0925 | - | - | - | - | | 7.4349 | 250 | 0.0928 | - | - | - | - | | 7.7323 | 260 | 0.0869 | - | - | - | - | | 7.8513 | 264 | - | 0.3753 | 0.3753 | 0.3706 | 0.3613 | * The bold row denotes the saved checkpoint. ### Framework Versions - Python: 3.11.10 - Sentence Transformers: 3.3.1 - Transformers: 4.41.2 - PyTorch: 2.4.1+cu124 - Accelerate: 1.3.0 - Datasets: 2.19.1 - Tokenizers: 0.19.1 ## Citation ### BibTeX #### Sentence Transformers ```bibtex @inproceedings{reimers-2019-sentence-bert, title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks", author = "Reimers, Nils and Gurevych, Iryna", booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing", month = "11", year = "2019", publisher = "Association for Computational Linguistics", url = "https://arxiv.org/abs/1908.10084", } ``` #### MatryoshkaLoss ```bibtex @misc{kusupati2024matryoshka, title={Matryoshka Representation Learning}, author={Aditya Kusupati and Gantavya Bhatt and Aniket Rege and Matthew Wallingford and Aditya Sinha and Vivek Ramanujan and William Howard-Snyder and Kaifeng Chen and Sham Kakade and Prateek Jain and Ali Farhadi}, year={2024}, eprint={2205.13147}, archivePrefix={arXiv}, primaryClass={cs.LG} } ``` #### MultipleNegativesRankingLoss ```bibtex @misc{henderson2017efficient, title={Efficient Natural Language Response Suggestion for Smart Reply}, author={Matthew Henderson and Rami Al-Rfou and Brian Strope and Yun-hsuan Sung and Laszlo Lukacs and Ruiqi Guo and Sanjiv Kumar and Balint Miklos and Ray Kurzweil}, year={2017}, eprint={1705.00652}, archivePrefix={arXiv}, primaryClass={cs.CL} } ```