Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

1_Pooling/config.json

@@ -0,0 +1,10 @@
+{
+    "word_embedding_dimension": 1024,
+    "pooling_mode_cls_token": false,
+    "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": true,
+    "include_prompt": true
+}

README.md

@@ -0,0 +1,847 @@
+---
+tags:
+- sentence-transformers
+- sentence-similarity
+- feature-extraction
+- dense
+- generated_from_trainer
+- dataset_size:2394
+- loss:MultipleNegativesRankingLoss
+base_model: Qwen/Qwen3-Embedding-0.6B
+widget:
+- source_sentence: 'Hendricks case: confidential incident details discussed with OR
+    staff outside the formal investigation process'
+  sentences:
+  - 'Subject: Concerns Regarding Recent Dietary Services Menu Change
+
+    From: Laura A. Hughes
+
+    To: Elizabeth M. Turner
+
+    Date: 2026-01-16
+
+
+    Hello Elizabeth,
+
+
+    I am reaching out to bring to your attention several patient concerns that have
+    arisen following the recent dietary services menu change implemented last week.
+    Multiple patients and their families have noted a lack of clarity regarding allergen
+    labeling and have expressed confusion about the new meal selections. In light
+    of our patient safety protocols, I recommend we conduct a rapid review of current
+    menu documentation and consider a focused staff in-service to address labeling
+    accuracy and communication with patients. Please let me know if you require detailed
+    feedback reports or would like to coordinate a joint review meeting to address
+    these issues collectively.
+
+
+    Best regards,
+
+    Laura A. Hughes'
+  - 'Subject: Patient Safety Week Activities: Join Us in Fostering a Culture of Safety
+
+    From: Diane L. Cooper
+
+    To: All Hospital Staff
+
+    Date: 2025-10-12
+
+
+    Dear St. Catherine''s Team,
+
+
+    As we approach National Patient Safety Week, I am pleased to invite all staff
+    to participate in a series of activities dedicated to reinforcing our shared commitment
+    to patient safety and quality care. Throughout the week, we will host educational
+    workshops, interactive safety simulations, and informative sessions led by our
+    hospital''s clinical risk management team. These events are designed not only
+    to enhance our understanding of best practices but also to empower every one of
+    us in proactively promoting a safe hospital environment.
+
+
+    Patient safety remains at the heart of our mission, and your engagement is instrumental
+    in upholding our standards. I encourage everyone to review the attached schedule
+    and make time to participate in as many sessions as possible. Together, let’s
+    continue to cultivate transparency, learning, and collaboration across all departments.
+
+
+    Should you have any questions regarding the activities or wish to suggest additional
+    topics, please do not hesitate to reach out to me directly.
+
+
+    Thank you for your dedication to excellence and patient care.
+
+
+    Best regards,
+
+    Diane L. Cooper
+
+    Director, Employee Relations
+
+    St. Catherine''s Regional Hospital'
+  - 'Subject: Required Meeting: Performance and Policy Compliance
+
+    From: Patricia M. Vasquez
+
+    To: Sarah J. Morrison
+
+    Date: 2025-09-17
+
+
+    Dear Sarah,
+
+
+    Thank you for your prompt reply and for confirming your attendance at the meeting.
+    To address your request for clarification, we have received reports that you have
+    been discussing confidential incident details related to the Hendricks case with
+    OR staff members outside the formal investigation process. Additionally, it has
+    been noted that your characterization of events in those discussions has been
+    inconsistent with your formal statements submitted to patient safety and risk
+    management.
+
+
+    Given the seriousness of these concerns, we will discuss them in detail during
+    our meeting on Thursday. I urge you to consider carefully how you want to proceed
+    with your employment here and to review any relevant documentation in advance.
+    If you have further questions, please let me know.
+
+
+    Regards,
+
+    Patricia M. Vasquez
+
+    Risk Management Director'
+- source_sentence: Who is responsible for coordinating with Employee Health to establish
+    overnight or mobile flu vaccination slots for Radiology and Ultrasound night-shift
+    staff, and what is the timeline to implement it?
+  sentences:
+  - 'Subject: Issue with Patient Portal Enrollment Impacting Billing Documentation
+
+    From: Sofia R. Ramirez
+
+    To: George M. Harris
+
+    Date: 2025-11-11
+
+
+    Hi George,
+
+
+    I''m reaching out because I''ve noticed several cases where new patients are unable
+    to complete their portal enrollment, which has led to incomplete demographic and
+    insurance information in our records. This is causing issues with proper billing
+    code assignment and delays in claims processing. Do you have recommendations for
+    improving the collection of required documentation at this stage or a workflow
+    update that could help ensure all necessary data is captured before billing? Your
+    expertise would be invaluable as we try to minimize claim denials due to missing
+    information.
+
+
+    Thanks for your help,
+
+    Sofia'
+  - 'Subject: Concern Regarding Central Line Infection Rate and Equipment Protocols
+
+    From: Daniel M. Evans
+
+    To: Thomas R. Anderson
+
+    Date: 2025-09-29
+
+
+    Hi Thomas,
+
+
+    I wanted to bring to your attention a recent uptick in the central line infection
+    rates reported on Med-Surg units over the past two weeks. My initial review suggests
+    possible inconsistencies in how central line carts are being sanitized and restocked
+    during overnight shifts, especially with high patient turnover. I recommend we
+    conduct a targeted refresher with night staff and consider updating signage on
+    carts to reinforce proper protocol. Could you assist in coordinating this or suggest
+    an alternate approach to address the issue promptly?
+
+
+    Thanks for your leadership,
+
+    Daniel
+
+
+    Get Outlook for iOS'
+  - 'Subject: Flu Vaccination Campaign: Night Shift Coverage Concern
+
+    From: Jasmine K. Patel
+
+    To: Thomas R. Anderson
+
+    Date: 2026-01-19
+
+
+    Hi Thomas,
+
+
+    I wanted to flag an issue regarding the ongoing flu vaccination campaign. We''ve
+    noticed that several night shift staff in Radiology and Ultrasound have missed
+    scheduled vaccine appointments due to limited after-hours availability. Would
+    it be possible to coordinate with Employee Health to set up a dedicated time slot
+    overnight or provide mobile vaccination rounds for these teams?
+
+
+    Let me know how you''d like to proceed.
+
+
+    Thanks,
+
+    Jasmine'
+- source_sentence: Confirm availability of Room 214 or an alternative near the kitchen
+    for a dietary workshop scheduled 2-4 pm on the upcoming Thursday.
+  sentences:
+  - 'Subject: Incident Report: PACS System Downtime Impacting Surgical Workflow
+
+    From: Chloe R. Anderson
+
+    To: Ronald J. Mitchell
+
+    Date: 2025-12-17
+
+
+    Hi Ronald,
+
+
+    Thank you for your prompt response regarding the PACS system downtime in OR 3.
+    I appreciate your commitment to coordinating with IT and implementing interim
+    manual image access protocols, as well as initiating a root cause analysis. I
+    will continue to document any further disruptions, as requested, and look forward
+    to your update on both interim procedures and the proposed action plan within
+    the next 48 hours. Please let me know if there are any specific details or examples
+    you require for the analysis, as I am happy to provide additional documentation
+    or feedback to support the resolution process.
+
+
+    Best regards,
+
+    Chloe'
+  - 'Subject: Medication Inventory Shortage Affecting CT Protocols
+
+    From: Maya S. Patel
+
+    To: Emily T. O''Brien
+
+    Date: 2025-12-19
+
+
+    Hi Emily,
+
+
+    Thank you for bringing this urgent medication shortage to my attention. I appreciate
+    you taking the initiative to check with pharmacy first, and I completely understand
+    the impact limited Omnipaque has on critical CT procedures, particularly for stroke
+    and trauma protocols. I will immediately reach out to Materials Management to
+    find out the status of the incoming shipment and see if there are any options
+    for expediting delivery. Additionally, I’ll consult with Radiology and Pharmacy
+    leadership to review possible alternative contrast agents that could be safely
+    substituted without compromising patient care or compliance. I’ll provide you
+    with an update later today as soon as I have more information.
+
+
+    Please let me know if there are any specific cases you’re concerned about in the
+    interim so we can prioritize resources accordingly.
+
+
+    Thank you again for your vigilance on this issue.
+
+
+    Best regards,
+
+    Maya'
+  - 'Subject: Request for Room Reservation for Upcoming Dietary Workshop
+
+    From: Mary E. Carter
+
+    To: Barbara J. Young
+
+    Date: 2025-10-20
+
+
+    Hi Barbara,
+
+
+    I hope you’re doing well. I’d like to request a room reservation for our upcoming
+    dietary workshop scheduled next Thursday from 2-4 pm. We''ll be reviewing new
+    meal service procedures and want to cover updates on handling specific dietary
+    restrictions for patients. Ideally, we’ll need a space near the kitchen to facilitate
+    the hands-on demonstration segment. Could you please confirm if Room 214 or another
+    suitable room is available during that time? Timely confirmation would be greatly
+    appreciated so I can coordinate our kitchen staff and prepare the necessary materials.
+
+
+    Thank you for your help!
+
+
+    Best regards,
+
+    Mary'
+- source_sentence: What are the exact policy violations alleged in relation to the
+    Hendricks incident referenced in the incident report?
+  sentences:
+  - 'Subject: Required Meeting: Performance and Policy Compliance
+
+    From: Sarah J. Morrison
+
+    To: Patricia M. Vasquez
+
+    Date: 2025-10-02
+
+
+    Dear Patricia,
+
+
+    Thank you for your message. I am quite concerned and honestly confused by the
+    allegations you referenced. I want to clarify that I have only discussed the Hendricks
+    incident with patient safety personnel and the individuals you specifically directed
+    me to meet with as part of the internal review process. At no point have I shared
+    confidential patient safety matters outside of these channels, and I have not
+    violated any HIPAA rules to my knowledge.
+
+
+    Could you please provide more details regarding the specific policy violations
+    being alleged? Is this related to my recent incident report concerning the Hendricks
+    case? I want to ensure I understand the nature of the concerns so I can respond
+    appropriately and prepare for our meeting. Please let me know what information
+    you need from me and when you would like to schedule this discussion.
+
+
+    I appreciate your clarification and look forward to resolving this matter.
+
+
+    Sincerely,
+
+    Sarah J. Morrison'
+  - 'Subject: Hinweis zu Systemfunktion – Bitte prüfen
+
+    From: Andrew J. Bennett
+
+    To: Angela R. Scott
+
+    Date: 2025-09-29
+
+
+    Hallo Angela,
+
+
+    ich wollte dich kurz auf ein mögliches Problem mit der Dokumentenarchivierungsfunktion
+    im neuen EHR-Update aufmerksam machen. Einige Nutzer haben Rückmeldungen gegeben,
+    dass freigegebene Laborbefunde nicht wie vorgesehen in den Patientenakten angezeigt
+    werden. Das könnte Auswirkungen auf die klinische Entscheidungsfindung haben.
+    Kannst du das bitte prüfen und mir eine Rückmeldung geben, ob wir mit einem Patch
+    rechnen können? Ich danke dir im Voraus für deine Unterstützung.
+
+
+    Viele Grüße,
+
+    Andrew'
+  - 'Subject: Defibrillator Battery Checks – Immediate Attention Required
+
+    From: Robert Kim
+
+    To: Jennifer Rodriguez
+
+    Date: 2025-12-03
+
+
+    Hi Jennifer,
+
+    I''ve noticed repeated inconsistencies with the battery checks on several OR defibrillators
+    over the past two weeks—twice now, devices have shown low battery during pre-op
+    review. This poses unnecessary risk and disrupts our workflow in critical cases.
+    I propose we assign a single OR tech to conduct and document battery checks at
+    the start of each shift, to ensure accountability and avoid gaps in readiness.
+    Please advise if you support this approach or can suggest a more robust solution.
+
+    Best,
+
+    Robert'
+- source_sentence: What is the proposed date/time for a meeting with Maintenance to
+    review findings and strategize a remediation plan for OR wing HVAC fluctuations
+    affecting post-op mobility protocols?
+  sentences:
+  - 'Subject: Request for Conference Call Number
+
+    From: Carol A. Campbell
+
+    To: Melissa K. King
+
+    Date: 2025-10-27
+
+
+    Hi Melissa,
+
+
+    I hope you''re doing well. I am reaching out to request the conference call number
+    for our upcoming credentialing review meeting scheduled later this week. Having
+    the dial-in details ahead of time will help me circulate the information to all
+    committee members and ensure we are fully prepared to discuss the physician files
+    on the agenda. Please let me know at your earliest convenience if there are any
+    specific protocols or security codes required for access.
+
+
+    Thank you very much for your assistance.
+
+
+    Best regards,
+
+    Carol'
+  - 'Subject: Payment Posting Discrepancy – Assistance Needed with Discharge Billing
+
+    From: Isaiah T. Jackson
+
+    To: Taylor A. Richardson
+
+    Date: 2025-10-30
+
+
+    Hi Taylor,
+
+
+    Thanks for bringing this to my attention. I''ve pulled the discharge plan and
+    placement records and will cross-reference them with the insurance authorization
+    to verify alignment. Once I have more clarity, I’ll coordinate with you and finance
+    as needed to resolve any discrepancies—please hold off on correction for now.
+    If I require any additional documentation, I’ll let you know.
+
+
+    Best,
+
+    Isaiah'
+  - 'Subject: HVAC System Issues Impacting OR Wing: Request for Collaborative Solution
+
+    From: Dr. Susan L. Chang
+
+    To: Brian K. Lee
+
+    Date: 2025-10-20
+
+
+    Hi Brian,
+
+
+    Thank you for raising this concern regarding the HVAC fluctuations in the OR wing.
+    My team has indeed noticed some difficulties in maintaining prescribed post-operative
+    mobility protocols due to variable temperatures, which can discourage early patient
+    movement and affect our recovery benchmarks. I agree that partnering with Maintenance
+    for timely remediation is essential; I can share specific observations from our
+    unit that might help guide targeted improvements in the HVAC settings or scheduling.
+
+
+    Let me know when would be best to meet with you and Maintenance so we can review
+    findings and strategize a plan. Thanks again for the proactive outreach.
+
+
+    Best,
+
+    Susan'
+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@10
+- cosine_mrr@10
+- cosine_map@100
+model-index:
+- name: SentenceTransformer based on Qwen/Qwen3-Embedding-0.6B
+  results:
+  - task:
+      type: information-retrieval
+      name: Information Retrieval
+    dataset:
+      name: val evaluation
+      type: val_evaluation
+    metrics:
+    - type: cosine_accuracy@1
+      value: 0.8948247078464107
+      name: Cosine Accuracy@1
+    - type: cosine_accuracy@3
+      value: 0.9582637729549248
+      name: Cosine Accuracy@3
+    - type: cosine_accuracy@5
+      value: 0.9799666110183639
+      name: Cosine Accuracy@5
+    - type: cosine_accuracy@10
+      value: 1.0
+      name: Cosine Accuracy@10
+    - type: cosine_precision@1
+      value: 0.8948247078464107
+      name: Cosine Precision@1
+    - type: cosine_precision@3
+      value: 0.3194212576516416
+      name: Cosine Precision@3
+    - type: cosine_precision@5
+      value: 0.19599332220367274
+      name: Cosine Precision@5
+    - type: cosine_precision@10
+      value: 0.09999999999999999
+      name: Cosine Precision@10
+    - type: cosine_recall@1
+      value: 0.8948247078464107
+      name: Cosine Recall@1
+    - type: cosine_recall@3
+      value: 0.9582637729549248
+      name: Cosine Recall@3
+    - type: cosine_recall@5
+      value: 0.9799666110183639
+      name: Cosine Recall@5
+    - type: cosine_recall@10
+      value: 1.0
+      name: Cosine Recall@10
+    - type: cosine_ndcg@10
+      value: 0.947164718374032
+      name: Cosine Ndcg@10
+    - type: cosine_mrr@10
+      value: 0.9301560802395528
+      name: Cosine Mrr@10
+    - type: cosine_map@100
+      value: 0.9301560802395525
+      name: Cosine Map@100
+---
+
+# SentenceTransformer based on Qwen/Qwen3-Embedding-0.6B
+
+This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [Qwen/Qwen3-Embedding-0.6B](https://huggingface.co/Qwen/Qwen3-Embedding-0.6B). It maps sentences & paragraphs to a 1024-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:** [Qwen/Qwen3-Embedding-0.6B](https://huggingface.co/Qwen/Qwen3-Embedding-0.6B) <!-- at revision c54f2e6e80b2d7b7de06f51cec4959f6b3e03418 -->
+- **Maximum Sequence Length:** 768 tokens
+- **Output Dimensionality:** 1024 dimensions
+- **Similarity Function:** Cosine Similarity
+<!-- - **Training Dataset:** Unknown -->
+<!-- - **Language:** Unknown -->
+<!-- - **License:** Unknown -->
+
+### Model Sources
+
+- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
+- **Repository:** [Sentence Transformers on GitHub](https://github.com/huggingface/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': 768, 'do_lower_case': False, 'architecture': 'PeftModelForFeatureExtraction'})
+  (1): Pooling({'word_embedding_dimension': 1024, 'pooling_mode_cls_token': False, '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': True, '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("sentence_transformers_model_id")
+# Run inference
+queries = [
+    "What is the proposed date/time for a meeting with Maintenance to review findings and strategize a remediation plan for OR wing HVAC fluctuations affecting post-op mobility protocols?",
+]
+documents = [
+    'Subject: HVAC System Issues Impacting OR Wing: Request for Collaborative Solution\nFrom: Dr. Susan L. Chang\nTo: Brian K. Lee\nDate: 2025-10-20\n\nHi Brian,\n\nThank you for raising this concern regarding the HVAC fluctuations in the OR wing. My team has indeed noticed some difficulties in maintaining prescribed post-operative mobility protocols due to variable temperatures, which can discourage early patient movement and affect our recovery benchmarks. I agree that partnering with Maintenance for timely remediation is essential; I can share specific observations from our unit that might help guide targeted improvements in the HVAC settings or scheduling.\n\nLet me know when would be best to meet with you and Maintenance so we can review findings and strategize a plan. Thanks again for the proactive outreach.\n\nBest,\nSusan',
+    "Subject: Payment Posting Discrepancy – Assistance Needed with Discharge Billing\nFrom: Isaiah T. Jackson\nTo: Taylor A. Richardson\nDate: 2025-10-30\n\nHi Taylor,\n\nThanks for bringing this to my attention. I've pulled the discharge plan and placement records and will cross-reference them with the insurance authorization to verify alignment. Once I have more clarity, I’ll coordinate with you and finance as needed to resolve any discrepancies—please hold off on correction for now. If I require any additional documentation, I’ll let you know.\n\nBest,\nIsaiah",
+    "Subject: Request for Conference Call Number\nFrom: Carol A. Campbell\nTo: Melissa K. King\nDate: 2025-10-27\n\nHi Melissa,\n\nI hope you're doing well. I am reaching out to request the conference call number for our upcoming credentialing review meeting scheduled later this week. Having the dial-in details ahead of time will help me circulate the information to all committee members and ensure we are fully prepared to discuss the physician files on the agenda. Please let me know at your earliest convenience if there are any specific protocols or security codes required for access.\n\nThank you very much for your assistance.\n\nBest regards,\nCarol",
+]
+query_embeddings = model.encode_query(queries)
+document_embeddings = model.encode_document(documents)
+print(query_embeddings.shape, document_embeddings.shape)
+# [1, 1024] [3, 1024]
+
+# Get the similarity scores for the embeddings
+similarities = model.similarity(query_embeddings, document_embeddings)
+print(similarities)
+# tensor([[0.7461, 0.0432, 0.0610]], dtype=torch.bfloat16)
+```
+
+<!--
+### Direct Usage (Transformers)
+
+<details><summary>Click to see the direct usage in Transformers</summary>
+
+</details>
+-->
+
+<!--
+### Downstream Usage (Sentence Transformers)
+
+You can finetune this model on your own dataset.
+
+<details><summary>Click to expand</summary>
+
+</details>
+-->
+
+<!--
+### Out-of-Scope Use
+
+*List how the model may foreseeably be misused and address what users ought not to do with the model.*
+-->
+
+## Evaluation
+
+### Metrics
+
+#### Information Retrieval
+
+* Dataset: `val_evaluation`
+* Evaluated with [<code>InformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator)
+
+| Metric              | Value      |
+|:--------------------|:-----------|
+| cosine_accuracy@1   | 0.8948     |
+| cosine_accuracy@3   | 0.9583     |
+| cosine_accuracy@5   | 0.98       |
+| cosine_accuracy@10  | 1.0        |
+| cosine_precision@1  | 0.8948     |
+| cosine_precision@3  | 0.3194     |
+| cosine_precision@5  | 0.196      |
+| cosine_precision@10 | 0.1        |
+| cosine_recall@1     | 0.8948     |
+| cosine_recall@3     | 0.9583     |
+| cosine_recall@5     | 0.98       |
+| cosine_recall@10    | 1.0        |
+| **cosine_ndcg@10**  | **0.9472** |
+| cosine_mrr@10       | 0.9302     |
+| cosine_map@100      | 0.9302     |
+
+<!--
+## Bias, Risks and Limitations
+
+*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
+-->
+
+<!--
+### Recommendations
+
+*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
+-->
+
+## Training Details
+
+### Training Dataset
+
+#### Unnamed Dataset
+
+* Size: 2,394 training samples
+* Columns: <code>sentence_0</code> and <code>sentence_1</code>
+* Approximate statistics based on the first 1000 samples:
+  |         | sentence_0                                                                        | sentence_1                                                                           |
+  |:--------|:----------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|
+  | type    | string                                                                            | string                                                                               |
+  | details | <ul><li>min: 8 tokens</li><li>mean: 26.77 tokens</li><li>max: 63 tokens</li></ul> | <ul><li>min: 99 tokens</li><li>mean: 160.64 tokens</li><li>max: 399 tokens</li></ul> |
+* Samples:
+  | sentence_0                                                                                                                                                                                  | sentence_1                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        |
+  |:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+  | <code>What are the routine badge access needs for the phlebotomy team under the updated infection control protocol to prevent access-related delays in the patient observation wing?</code> | <code>Subject: Request for Assistance: Infection Control Protocol Update Impacting Phlebotomy Access<br>From: Paul R. Nelson<br>To: Carlos J. Rodriguez<br>Date: 2025-12-15<br><br>Hi Carlos,<br><br>I wanted to reach out regarding recent changes to our infection control protocols, which now require stricter badge access in certain areas, including the patient observation wing. We've had a few incidents where phlebotomy staff were delayed due to these new access restrictions. To ensure patient care isn't impacted, could you assist by identifying routine access needs for your team so we can adjust permissions accordingly? Please let me know if you or your team have experienced any specific challenges, and I’ll work to resolve these promptly.<br><br>Thanks for your cooperation,<br>Paul</code>                    |
+  | <code>Are there any specific legal/compliance issues to be addressed during the Emergency Preparedness Drill?</code>                                                                        | <code>Subject: Re: Upcoming Hospital-wide Emergency Preparedness Drill – Participation Required<br>From: David R. Park<br>To: Richard T. Howard<br>Date: 2025-12-02<br><br>Hello Richard,<br><br>Thank you for the detailed announcement and for outlining the objectives of the upcoming Emergency Preparedness Drill. I appreciate the proactive approach to ensuring all staff are familiar with emergency protocols, especially with the simulation of both power and network outages. My team and I will review our current department safety procedures and ensure we are prepared to both participate in the drill and report any issues we discover. Please let me know if there are any specific compliance issues from the legal perspective you would like addressed during the exercise.<br><br>Best regards,<br>David R. Park</code> |
+  | <code>Quem é o responsável por fornecer o relatório de ultrassom de Miguel Silva para desbloquear a baixa de dívida incobrável?</code>                                                      | <code>Subject: Solicitação de apoio: aprovação de baixa de dívidas incobráveis<br>From: Rachel K. Martinez<br>To: Jasmine K. Patel<br>Date: 2025-10-27<br><br>Olá Jasmine,<br><br>Estou enfrentando dificuldades com a aprovação de uma baixa de dívida incobrável referente ao paciente do Pronto-Socorro. O sistema está bloqueando o processo devido à ausência de alguns documentos do setor de imagem. Você poderia, por favor, me ajudar a localizar ou encaminhar o relatório do ultrassom do paciente Miguel Silva? Precisamos desse documento para dar andamento à solicitação.<br><br>Agradeço pela agilidade!<br><br>Atenciosamente,<br>Rachel K. Martinez</code>                                                                                                                                                                      |
+* Loss: [<code>MultipleNegativesRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativesrankingloss) with these parameters:
+  ```json
+  {
+      "scale": 20.0,
+      "similarity_fct": "cos_sim",
+      "gather_across_devices": false
+  }
+  ```
+
+### Training Hyperparameters
+#### Non-Default Hyperparameters
+
+- `multi_dataset_batch_sampler`: round_robin
+
+#### All Hyperparameters
+<details><summary>Click to expand</summary>
+
+- `do_predict`: False
+- `eval_strategy`: no
+- `prediction_loss_only`: True
+- `per_device_train_batch_size`: 8
+- `per_device_eval_batch_size`: 8
+- `gradient_accumulation_steps`: 1
+- `eval_accumulation_steps`: None
+- `torch_empty_cache_steps`: None
+- `learning_rate`: 5e-05
+- `weight_decay`: 0.0
+- `adam_beta1`: 0.9
+- `adam_beta2`: 0.999
+- `adam_epsilon`: 1e-08
+- `max_grad_norm`: 1
+- `num_train_epochs`: 3
+- `max_steps`: -1
+- `lr_scheduler_type`: linear
+- `lr_scheduler_kwargs`: None
+- `warmup_ratio`: None
+- `warmup_steps`: 0
+- `log_level`: passive
+- `log_level_replica`: warning
+- `log_on_each_node`: True
+- `logging_nan_inf_filter`: True
+- `enable_jit_checkpoint`: False
+- `save_on_each_node`: False
+- `save_only_model`: False
+- `restore_callback_states_from_checkpoint`: False
+- `use_cpu`: False
+- `seed`: 42
+- `data_seed`: None
+- `bf16`: False
+- `fp16`: False
+- `bf16_full_eval`: False
+- `fp16_full_eval`: False
+- `tf32`: None
+- `local_rank`: -1
+- `ddp_backend`: None
+- `debug`: []
+- `dataloader_drop_last`: False
+- `dataloader_num_workers`: 0
+- `dataloader_prefetch_factor`: None
+- `disable_tqdm`: False
+- `remove_unused_columns`: True
+- `label_names`: None
+- `load_best_model_at_end`: False
+- `ignore_data_skip`: False
+- `fsdp`: []
+- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
+- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
+- `parallelism_config`: None
+- `deepspeed`: None
+- `label_smoothing_factor`: 0.0
+- `optim`: adamw_torch_fused
+- `optim_args`: None
+- `group_by_length`: False
+- `length_column_name`: length
+- `project`: huggingface
+- `trackio_space_id`: trackio
+- `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
+- `push_to_hub`: False
+- `resume_from_checkpoint`: None
+- `hub_model_id`: None
+- `hub_strategy`: every_save
+- `hub_private_repo`: None
+- `hub_always_push`: False
+- `hub_revision`: None
+- `gradient_checkpointing`: False
+- `gradient_checkpointing_kwargs`: None
+- `include_for_metrics`: []
+- `eval_do_concat_batches`: True
+- `auto_find_batch_size`: False
+- `full_determinism`: False
+- `ddp_timeout`: 1800
+- `torch_compile`: False
+- `torch_compile_backend`: None
+- `torch_compile_mode`: None
+- `include_num_input_tokens_seen`: no
+- `neftune_noise_alpha`: None
+- `optim_target_modules`: None
+- `batch_eval_metrics`: False
+- `eval_on_start`: False
+- `use_liger_kernel`: False
+- `liger_kernel_config`: None
+- `eval_use_gather_object`: False
+- `average_tokens_across_devices`: True
+- `use_cache`: False
+- `prompts`: None
+- `batch_sampler`: batch_sampler
+- `multi_dataset_batch_sampler`: round_robin
+- `router_mapping`: {}
+- `learning_rate_mapping`: {}
+
+</details>
+
+### Training Logs
+| Epoch  | Step | Training Loss | val_evaluation_cosine_ndcg@10 |
+|:------:|:----:|:-------------:|:-----------------------------:|
+| 1.0    | 300  | -             | 0.9461                        |
+| 1.6667 | 500  | 0.0168        | -                             |
+| 2.0    | 600  | -             | 0.9459                        |
+| 3.0    | 900  | -             | 0.9472                        |
+
+
+### Framework Versions
+- Python: 3.12.12
+- Sentence Transformers: 5.2.2
+- Transformers: 5.0.0
+- PyTorch: 2.9.0+cu128
+- Accelerate: 1.12.0
+- Datasets: 4.0.0
+- Tokenizers: 0.22.2
+
+## 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",
+}
+```
+
+#### 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}
+}
+```
+
+<!--
+## Glossary
+
+*Clearly define terms in order to be accessible across audiences.*
+-->
+
+<!--
+## Model Card Authors
+
+*Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
+-->
+
+<!--
+## Model Card Contact
+
+*Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
+-->

adapter_config.json

@@ -0,0 +1,46 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen3-Embedding-0.6B",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "k_proj",
+    "v_proj",
+    "up_proj",
+    "q_proj",
+    "down_proj",
+    "gate_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "FEATURE_EXTRACTION",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e13217cebe4c89cb5238a96c57fea6dd044660f9202496c1935f5cd39e55daab
+size 20234120

chat_template.jinja

@@ -0,0 +1,85 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set content = message.content %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in message.content %}
+                {%- set content = message.content.split('</think>')[-1].lstrip('\n') %}
+                {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

config_sentence_transformers.json

@@ -0,0 +1,14 @@
+{
+  "prompts": {
+    "query": "Instruct: Given a web search query, retrieve relevant passages that answer the query\nQuery:",
+    "document": ""
+  },
+  "default_prompt_name": null,
+  "similarity_fn_name": "cosine",
+  "model_type": "SentenceTransformer",
+  "__version__": {
+    "sentence_transformers": "5.2.2",
+    "transformers": "5.0.0",
+    "pytorch": "2.9.0+cu128"
+  }
+}

modules.json

@@ -0,0 +1,20 @@
+[
+  {
+    "idx": 0,
+    "name": "0",
+    "path": "",
+    "type": "sentence_transformers.models.Transformer"
+  },
+  {
+    "idx": 1,
+    "name": "1",
+    "path": "1_Pooling",
+    "type": "sentence_transformers.models.Pooling"
+  },
+  {
+    "idx": 2,
+    "name": "2",
+    "path": "2_Normalize",
+    "type": "sentence_transformers.models.Normalize"
+  }
+]

sentence_bert_config.json

@@ -0,0 +1,4 @@
+{
+    "max_seq_length": 768,
+    "do_lower_case": false
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:43f117cf004e0cf6b6a77ea42d686398dac7d22e4b15a89d3d1b2a0cc4d1c286
+size 11423967

tokenizer_config.json

@@ -0,0 +1,30 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "is_local": false,
+  "model_max_length": 131072,
+  "model_specific_special_tokens": {},
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}