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1_Pooling/config.json

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+{
+  "word_embedding_dimension": 768,
+  "pooling_mode_cls_token": false,
+  "pooling_mode_mean_tokens": true,
+  "pooling_mode_max_tokens": false,
+  "pooling_mode_mean_sqrt_len_tokens": false,
+  "pooling_mode_weightedmean_tokens": false,
+  "pooling_mode_lasttoken": false,
+  "include_prompt": true
+}

README.md

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+---
+tags:
+- sentence-transformers
+- sentence-similarity
+- feature-extraction
+- generated_from_trainer
+- dataset_size:32378
+- loss:MultipleNegativesRankingLoss
+base_model: sentence-transformers/all-mpnet-base-v2
+widget:
+- source_sentence: 'query: What are the conditions under which the full payment of
+    the Note can be secured?'
+  sentences:
+  - accordance with U.S. Securities and Exchange Commission (“SEC”) Rule13d-3. 5.Security.
+    The full and timely payment of this Note (together with the Maker’s obligations
+    under a Purchase Agreement of this date among Maker, Payee and Whitebox Advisors,
+    LLC) shall be secured by a Pledge Agreement of this date (the “Pledge Agreement”).
+    6.Optional Prepayments. The Maker may prepay this Note, in whole or in part, and
+    in cash, without penalty by Maker upon fifteen days written notice to Payee. Prepayments
+    shall be applied first to accrued but unpaid interest and then to principal. --------------------------------------------------------------------------------
+    7.Default. The occurrence of any one or more of the following events shall constitute
+    an event of default, upon which Payee may declare the entire principal amount
+    of this Note, together with all accrued but unpaid
+  - or the Indenture Trustee or a Responsible Person of the Servicer has knowledge
+    of the failure, (C)during the period the Servicer uses all commercially reasonable
+    efforts to perform its obligations under this Agreement and (D)the Servicer promptly
+    notifies the Owner Trustee, the Indenture Trustee, the Depositor and the Noteholders
+    of the failure, including a description of the Servicer’s efforts to correct the
+    failure; or (2) (A)the failure would not reasonably be expected to, or after investigation
+    and quantification does not, result in a failure to pay or deposit an amount greater
+    than 0.05% of the Note Balance of the Notes, and (B)the failure does not continue
+    for more than (i)if the Servicer’s long-term debt is rated investment grade by
+    all Rating Agencies, 90 days after the Servicer receives
+  - 'the following conditions or events shall occur and be continuing: (a)the Issuer
+    defaults in the payment of any principal or Make-Whole Amount, if any, on any
+    Note when the same becomes due and payable, whether at maturity or at a date fixed
+    for prepayment or by declaration or otherwise; or (b)the Issuer defaults in the
+    payment of any interest on any Note for more than five Business Days after the
+    same becomes due and payable; or (c)either Constituent Company defaults in the
+    performance of or compliance with any term contained in Section 7.1(d), Section
+    9.5(b), (c) or (d), Section 9.7 or Section 10; or (d)either Constituent Company
+    or any Subsidiary Guarantor defaults in the performance of or compliance withany
+    term contained herein or in the Subsidiary Guaranty Agreement'
+- source_sentence: 'query: What happens to the RSUs if the Grantee terminates their
+    employment before the Performance Goals are achieved?'
+  sentences:
+  - 7 to the contrary, if the Grantee elects to defer the settlement of the RSUs pursuant
+    to the Company’s Executive Deferred Compensation Plan (or any other non-qualified
+    deferred compensation plan providing for the ability to defer settlement of the
+    RSUs), then the time, form and medium of payment with respect to any deferred
+    RSUs shall be made pursuant to the terms and conditions of the Executive Deferred
+    Compensation Plan (or similar non-qualified deferred compensation plan). 5.Forfeiture.
+    Except as otherwise provided in Sections 6 and 7, the Grantee will forfeit his
+    or her interest in the RSUs to the extent the Performance Goals are not achieved
+    during the 2 --------------------------------------------------------------------------------
+    Performance Period or if the Grantee terminates his or her employment with the
+    Company or any of its Subsidiaries
+  - the Change of Control Period is terminated prior to the Restriction Lapse Date,
+    either (A)by the Company other than for Cause or (B)by the Grantee for Good Reason
+    and the Grantee in both cases has remained in continuous Service through the date
+    of termination, then all RSUs shall be immediately vested. If a Change of Control
+    occurs subsequent to the last day of the Performance Period, but prior to the
+    Restriction Lapse Date, then PSUs shall be converted to RSUs only after calculation
+    of Free Cash Flow, provided, however, in the event that the Company has failed
+    to achieve the Minimum Free Cash Flow for the Performance Period, then all PSUs
+    shall be forfeited regardless of the Change of Control occurring after the end
+    of the Performance Period.
+  - between the parties as to enforceability of Section9 or the terms contained in
+    Section9(i), notwithstanding the outcome of any such dispute, shall be the sole
+    responsibility of the Company, and the Company shall not take any action to seek
+    reimbursement from you for such expenses. (i) The noncompetition periods described
+    in Section8 of this Agreement shall be suspended while you engage in any activities
+    in breach of this Agreement. In the event that a court grants injunctive relief
+    to the Company for your failure to comply with Section8, the noncompetition period
+    shall begin again on the date such injunctive relief is granted. (j) Nothing contained
+    in this Section9 shall be construed as limiting your obligations under Sections
+    6, 7, or 8 of this Agreement concerning Confidential Information, Inventions,
+- source_sentence: 'query: What modifications are made to Section 12.1(d) of the Equity
+    Definitions in the context of a Share-for-Combined merger event?'
+  sentences:
+  - 'Section 14.07 of the Indenture. Tender Offers: Applicable; provided that notwithstanding
+    Section 12.1(d) of the Equity Definitions, a “Tender Offer” means the occurrence
+    of any event or condition set forth in Section 14.04(e) of the Indenture. Consequences
+    of Merger Events / Tender Offers: Notwithstanding Section 12.2 and Section 12.3
+    of the Equity Definitions, upon the occurrence of a Merger Event or a Tender Offer,
+    the Calculation Agent shall make, to the extent an analogous adjustment is required
+    to be made pursuant to the Indenture, a corresponding adjustment in respect of
+    any such adjustment under the Indenture to any one or more of the nature of the
+    Shares (in the case of a Merger Event), Strike Price, Number of Options and Option
+    Entitlement, subject to the second paragraph under'
+  - 'Group nor any of their respective directors, executive officers, brokers or other
+    agents acting or benefiting in any capacity in connection with the Facility: (a)
+    is currently subject to any sanctions administered by OFAC or any similar sanctions
+    imposed by the European Union, Singapore, the United Kingdom, the United Nations
+    Security Council, the United States or any other country (together, “Sanctions”);
+    (b) is a Designated Person; (c) conducts any business or engages in making or
+    receiving any contribution of funds, goods or services to or for the benefit of
+    any Designated Person; (d) deals in, or otherwise engages in any transaction relating
+    to, any property or interest in property blocked pursuant to any Anti-Terrorism
+    Law; or (e) engages in or conspires to engage in any transaction that evades'
+  - 'related Supplemental Confirmation. Extraordinary Events: ConsequencesofMergerEvents:
+    (a) Share-for-Share: Modified Calculation Agent Adjustment (b) Share-for-Other:
+    Cancellation and Payment (c) Share-for-Combined: Component Adjustment Tender Offer:
+    Applicable; provided that (i)Section12.1(d) of the Equity Definitions shall be
+    amended by replacing “10%” in the third line thereof with “20%,” (ii) Section12.1(1)
+    of the Equity Definitions shall be amended (x)by deleting the parenthetical in
+    the fifth line thereof, (y)by replacing “that” in the fifth line thereof with
+    “whether or not such announcement” and (z)by adding immediately after the words
+    “Tender Offer” in the fifth line thereof “, and any publicly announced change
+    or amendment to such an announcement (including the announcement of an abandonment
+    of such intention)” and (iii)Sections 12.3(a) and 12.3(d) of the Equity Definitions
+    shall each be amended by replacing each occurrence'
+- source_sentence: 'query: When do participant''s rights to vested Restricted Share
+    Units become nonforfeitable?'
+  sentences:
+  - Participant’s rights to such vested number of Restricted Share Units shall become
+    nonforfeitable as of the last day of the Performance Period, subject to Section
+    3(d) below. Except as provided in Section 3(b) or (c) below, to the extent that
+    such Performance Criteria have not been satisfied as of the last day of the Performance
+    Period, any portion of the Restricted Share Units awarded under this Agreement
+    that does not vest, as calculated in accordance with Section 4, shall be canceled
+    immediately and shall not be payable to the Participant. Prior to the issuance
+    of any Shares in settlement of any Restricted Share Units, the Committee shall
+    certify in writing (which may be set forth in the minutes of a meeting of the
+    Committee) the extent to which
+  - practical after each Vesting Date. vi. In exchange for receipt of consideration
+    in the form of the Restricted Stock award pursuant to this Agreement, and other
+    good and valuable consideration, Grantee agrees that Grantee shall comply with
+    the confidentiality, inventions, non-solicitation and non-competition provisions
+    attached hereto as Exhibit B. vii. Notwithstanding the other provisions of this
+    Agreement, in the event of a Change in Control prior to the Vesting Date, all
+    Shares of Restricted Stock shall become fully vested and nonforfeitable as of
+    the date of the Change in Control. The Company shall transfer the Shares of Restricted
+    Stock that become vested pursuant to this provision to an unrestricted account
+    in the name of the Grantee as soon as practical after the date of the Change in
+    Control.
+  - 'less than a majority of the combined voting power of the resulting entity immediately
+    after the merger or consolidation is held by persons who were shareholders of
+    the Bank or the Company immediately before the merger or consolidation; ii. Change
+    in Board Composition: During any period of two consecutive years, individuals
+    who constitute the Boards of Directors of the Bank or the Company at the beginning
+    of the two-year period cease for any reason (other than as required by the Order
+    to Cease and Desist dated June6, 2005 entered into by the Bank with the Office
+    of Thrift Supervision) to constitute at least a majority of the Boards of Directors
+    of the Bank or the Company; provided, however, that for purposes of this clause
+    (iii), each director who'
+- source_sentence: 'query: Under what conditions will the legend on Series G Units
+    cease to be required?'
+  sentences:
+  - requirement that the Series G Units contain the legend set forth in clause (j)above
+    shall cease and terminate upon the earlier of (i)when such shares are transferred
+    pursuant to Rule 144 under the 1933 Act or (ii)when such securities are transferred
+    in any other transaction if the transferor delivers to the Company a written opinion
+    of counsel (which opinion and counsel shall be reasonably satisfactory to the
+    Company) to the effect that such legend is no longer necessary in order to protect
+    the Company against a violation by it of the 1933 Act upon any sale or other disposition
+    of such securities without registration thereunder. Upon the consummation of an
+    event described in (i)or (ii)above, the Company, upon surrender of certificates
+    containing such legend, shall, at its own
+  - '(b)after-hours. c. There are no Required Removables (as defined in the Lease)
+    or Alterations to be removed from the Premises upon the expiration or sooner termination
+    of the Lease and neither Sublandlord nor Subtenant shall be required to remove
+    any improvements or Alterations existing in the Premises as of the date hereof.
+    d. The existing Security Devices have been removed from the Premises. 6. Additional
+    Rights of Subtenant. Landlord hereby agrees and consents to the following exercise
+    of rights by Subtenant under the Lease: a. Subtenant shall be permitted to exercise
+    all rights of Sublandlord, as tenant, under Section8.7 of the Lease with respect
+    to Roof Equipment, which rights shall be subject to the requirements of the Lease,
+    including but not limited to Section8.7. In no event shall'
+  - Legend on Certificate. Until the eligibility conditions of this Award have been
+    satisfied and shares of Stock have been issued in accordance with the terms of
+    this Agreement or by action of the Committee, the Units awarded hereunder are
+    not transferable and shall not be sold, transferred, assigned, pledged, gifted,
+    hypothecated or otherwise disposed of or encumbered by you. Transfers of shares
+    of Stock by you are subject to the Company’s Stock Trading Policy and applicable
+    securities laws. Shares of Stock issued to you in certificate form or to your
+    book entry account upon satisfaction of the vesting and other conditions of this
+    Award may be restricted from transfer or sale by the Company and evidenced by
+    stop-transfer instructions upon your book entry account or restricted legend(s)
+    affixed
+pipeline_tag: sentence-similarity
+library_name: sentence-transformers
+---
+
+# SentenceTransformer based on sentence-transformers/all-mpnet-base-v2
+
+This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) on the json dataset. 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:** [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) <!-- at revision 9a3225965996d404b775526de6dbfe85d3368642 -->
+- **Maximum Sequence Length:** 384 tokens
+- **Output Dimensionality:** 768 dimensions
+- **Similarity Function:** Cosine Similarity
+- **Training Dataset:**
+    - json
+<!-- - **Language:** Unknown -->
+<!-- - **License:** Unknown -->
+
+### 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': 384, 'do_lower_case': False}) with Transformer model: PeftModelForFeatureExtraction 
+  (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, '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("sentence_transformers_model_id")
+# Run inference
+sentences = [
+    'query: Under what conditions will the legend on Series G Units cease to be required?',
+    'requirement that the Series G Units contain the legend set forth in clause (j)above shall cease and terminate upon the earlier of (i)when such shares are transferred pursuant to Rule 144 under the 1933 Act or (ii)when such securities are transferred in any other transaction if the transferor delivers to the Company a written opinion of counsel (which opinion and counsel shall be reasonably satisfactory to the Company) to the effect that such legend is no longer necessary in order to protect the Company against a violation by it of the 1933 Act upon any sale or other disposition of such securities without registration thereunder. Upon the consummation of an event described in (i)or (ii)above, the Company, upon surrender of certificates containing such legend, shall, at its own',
+    'Legend on Certificate. Until the eligibility conditions of this Award have been satisfied and shares of Stock have been issued in accordance with the terms of this Agreement or by action of the Committee, the Units awarded hereunder are not transferable and shall not be sold, transferred, assigned, pledged, gifted, hypothecated or otherwise disposed of or encumbered by you. Transfers of shares of Stock by you are subject to the Company’s Stock Trading Policy and applicable securities laws. Shares of Stock issued to you in certificate form or to your book entry account upon satisfaction of the vesting and other conditions of this Award may be restricted from transfer or sale by the Company and evidenced by stop-transfer instructions upon your book entry account or restricted legend(s) affixed',
+]
+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]
+```
+
+<!--
+### 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.*
+-->
+
+<!--
+## 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
+
+#### json
+
+* Dataset: json
+* Size: 32,378 training samples
+* Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
+* Approximate statistics based on the first 1000 samples:
+  |         | anchor                                                                             | positive                                                                            | negative                                                                             |
+  |:--------|:-----------------------------------------------------------------------------------|:------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|
+  | type    | string                                                                             | string                                                                              | string                                                                               |
+  | details | <ul><li>min: 11 tokens</li><li>mean: 22.14 tokens</li><li>max: 43 tokens</li></ul> | <ul><li>min: 6 tokens</li><li>mean: 189.63 tokens</li><li>max: 384 tokens</li></ul> | <ul><li>min: 64 tokens</li><li>mean: 195.06 tokens</li><li>max: 384 tokens</li></ul> |
+* Samples:
+  | anchor                                                                                                                                   | positive                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            | negative                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
+  |:-----------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+  | <code>query: What is the effective date of the Fifth Amendment to the Approach Resources Inc. 2007 Stock Incentive Plan?</code>          | <code>Exhibit 10.1 FIFTH AMENDMENT TO THE APPROACH RESOURCES INC. 2007 STOCK INCENTIVE PLAN This Fifth Amendment (the “Fifth Amendment”) to the Approach Resources Inc. 2007 Stock Incentive Plan, as amended from time to time (the “Plan”), is made effective as of June 2, 2016 (the “Amendment Effective Date”), by Approach Resources Inc., a Delaware corporation (“Approach”), subject to approval by Approach’s stockholders. W I T N E S S E T H: WHEREAS, Approach established the Plan, originally effective as of June 28, 2007 and most recently amended effective March 2, 2016, under which Approach is authorized to grant equity-based incentive awards to certain employees and service providers of Approach and its subsidiaries; WHEREAS, Section 14.1 of the Plan provides that Approach’s board of directors (the “Board”) may</code>                                                                                                                                                                                        | <code>Exhibit 10.39 AMENDMENT TO THE BPZ RESOURCES, INC. 2007 LONG-TERM INCENTIVE COMPENSATION PLAN WHEREAS, BPZ Resources,Inc. (the “Company”) adopted and maintains the BPZ Energy,Inc. 2007 Long-Term Incentive Compensation Plan (the “Plan”), effective as of June4, 2007, to provide an opportunity for its eligible employees and certain independent contractors to earn long term incentive awards in consideration for their services; WHEREAS, the Company now desires to amend the Plan to reserve additional shares for issuance under the Plan. NOW THEREFORE, effective as of June 20, 2014, the Plan is hereby amended by replacing Section7(a)with the following new Section7(a)that shall read as follows: “(a) Maximum Shares. Subject to adjustment as provided in this Section 7, there is hereby reserved for issuance under the Plan up to 12,000,000 shares of Stock</code> |
+  | <code>query: What is the date on which the Company accepted the subscription?</code>                                                     | <code>to acceptance by the Company, the undersigned has completed this Subscription Agreement to evidence his/her/its sub­scrip­tion for participation in the securities of the Company, this ____th day of _________ 2013. Subscriber Printed name If an entity, on behalf of: Subscriber’s position with entity: The Company has accepted this subscription this ____ day of _________ 2012. OverNear, Inc. By Its: Printed Name: Page11 of 19 Subscription Agreement OverNear, Inc. -------------------------------------------------------------------------------- Subscription Documents - Continued OVERNEAR, INC. (THE “COMPANY”) INVESTOR APPLICATION (QUALIFICATION QUESTIONNAIRE) (CONFIDENTIAL) ALL INFORMATION CONTAINED IN THIS APPLICATIONWILL BE TREATEDCONFIDENTIALLY. The undersigned understands, however, that the Company may present this application to such parties as the Company, in his discretion, deems appropriate when called upon to establish that the proposed offer and sale of the Securities are exempt</code> | <code>and each Subscriber is executing and delivering this agreement in reliance upon the exemption from securities registration afforded by Section 4(2) of the Securities Act and Rule 506 of Regulation D as promulgated by the SEC under the Securities Act; and WHEREAS the subscription for the Securities will be made in accordance with and subject to the terms and conditions of this Subscription Agreement and the Company's Confidential Private Placement Memorandum dated January 28, 2014 together with all amendments thereof and supplements and exhibits thereto and as such may be amended from time to time (the "Memorandum"); and WHEREAS, the Subscriber desires to purchase such number of shares of Common Stock (together with the associated Warrants) as set forth on the signature page hereof on the terms and</code>                                               |
+  | <code>query: What percentage of common shares must an entity own to be considered an Acquiring Person under the Rights Agreement?</code> | <code>the mutual agreements herein set forth, the parties agree as follows: Section1. Amendment to Section1.1. Section1.1 of the Rights Agreement is amended to read in its entirety as follows: “1.1 “Acquiring Person” shall mean any Person (as such term is hereinafter defined) who or which, together with all Affiliates and Associates (as such terms are hereinafter defined) of such Person, shall be the Beneficial Owner (as such term is hereinafter defined) of 15% or more of the Common Shares of the Company then outstanding, but shall not include: (i) the Company; (ii) any Subsidiary of the Company; (iii) any employee benefit plan of the Company or of any Subsidiary of the Company or any entity holding shares of capital stock of the Company for or pursuant to the</code>                                                                                                                                                                                                                                           | <code>of more than 25% of the Common Shares outstanding immediately prior to the distribution, and in making this determination the Common Shares to be issued to such Person in the distribution shall be deemed to be held by such Person but shall not be included in the aggregate number of outstanding Common Shares immediately prior to the distribution ("Exempt Acquisitions"); the acquisition of Common Shares upon the exercise of Convertible Securities received by such Person pursuant to a Permitted Bid Acquisition, an Exempt Acquisition or a Pro Rata Acquisition (as defined below) ("Convertible Security Acquisitions"); or acquisitions as a result of a stock dividend, a stock split or other event pursuant to which such Person receives or acquires Common Shares or Convertible Securities on the same pro rata</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"
+  }
+  ```
+
+### Training Hyperparameters
+#### Non-Default Hyperparameters
+
+- `per_device_train_batch_size`: 16
+- `gradient_accumulation_steps`: 8
+- `learning_rate`: 0.0001
+- `num_train_epochs`: 1
+- `lr_scheduler_type`: cosine_with_restarts
+- `warmup_ratio`: 0.1
+- `bf16`: True
+- `batch_sampler`: no_duplicates
+
+#### All Hyperparameters
+<details><summary>Click to expand</summary>
+
+- `overwrite_output_dir`: False
+- `do_predict`: False
+- `eval_strategy`: no
+- `prediction_loss_only`: True
+- `per_device_train_batch_size`: 16
+- `per_device_eval_batch_size`: 8
+- `per_gpu_train_batch_size`: None
+- `per_gpu_eval_batch_size`: None
+- `gradient_accumulation_steps`: 8
+- `eval_accumulation_steps`: None
+- `torch_empty_cache_steps`: None
+- `learning_rate`: 0.0001
+- `weight_decay`: 0.0
+- `adam_beta1`: 0.9
+- `adam_beta2`: 0.999
+- `adam_epsilon`: 1e-08
+- `max_grad_norm`: 1.0
+- `num_train_epochs`: 1
+- `max_steps`: -1
+- `lr_scheduler_type`: cosine_with_restarts
+- `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`: None
+- `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`: False
+- `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
+- `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
+- `eval_on_start`: False
+- `eval_use_gather_object`: False
+- `prompts`: None
+- `batch_sampler`: no_duplicates
+- `multi_dataset_batch_sampler`: proportional
+
+</details>
+
+### Training Logs
+| Epoch  | Step | Training Loss |
+|:------:|:----:|:-------------:|
+| 0.0128 | 1    | 0.6274        |
+| 0.0256 | 2    | 0.7466        |
+| 0.0384 | 3    | 0.6275        |
+| 0.0512 | 4    | 0.7828        |
+| 0.064  | 5    | 0.8595        |
+| 0.0768 | 6    | 0.7202        |
+| 0.0896 | 7    | 0.8533        |
+| 0.1024 | 8    | 0.8205        |
+| 0.1152 | 9    | 0.5946        |
+| 0.128  | 10   | 0.6259        |
+| 0.1408 | 11   | 0.6942        |
+| 0.1536 | 12   | 0.5639        |
+| 0.1664 | 13   | 0.5801        |
+| 0.1792 | 14   | 0.6961        |
+| 0.192  | 15   | 0.5709        |
+| 0.2048 | 16   | 0.5827        |
+| 0.2176 | 17   | 0.5587        |
+| 0.2304 | 18   | 0.6785        |
+| 0.2432 | 19   | 0.5421        |
+| 0.256  | 20   | 0.5633        |
+| 0.2688 | 21   | 0.4312        |
+| 0.2816 | 22   | 0.4915        |
+| 0.2944 | 23   | 0.5614        |
+| 0.3072 | 24   | 0.3686        |
+| 0.32   | 25   | 0.4252        |
+| 0.3328 | 26   | 0.4877        |
+| 0.3456 | 27   | 0.4616        |
+| 0.3584 | 28   | 0.3765        |
+| 0.3712 | 29   | 0.4412        |
+| 0.384  | 30   | 0.4257        |
+| 0.3968 | 31   | 0.5719        |
+| 0.4096 | 32   | 0.4199        |
+| 0.4224 | 33   | 0.4739        |
+| 0.4352 | 34   | 0.4306        |
+| 0.448  | 35   | 0.4413        |
+| 0.4608 | 36   | 0.4897        |
+| 0.4736 | 37   | 0.4035        |
+| 0.4864 | 38   | 0.4182        |
+| 0.4992 | 39   | 0.4927        |
+| 0.512  | 40   | 0.3966        |
+| 0.5248 | 41   | 0.3429        |
+| 0.5376 | 42   | 0.4481        |
+| 0.5504 | 43   | 0.5065        |
+| 0.5632 | 44   | 0.3777        |
+| 0.576  | 45   | 0.3732        |
+| 0.5888 | 46   | 0.3587        |
+| 0.6016 | 47   | 0.3732        |
+| 0.6144 | 48   | 0.3401        |
+| 0.6272 | 49   | 0.3553        |
+| 0.64   | 50   | 0.5326        |
+| 0.6528 | 51   | 0.3874        |
+| 0.6656 | 52   | 0.3768        |
+| 0.6784 | 53   | 0.3759        |
+| 0.6912 | 54   | 0.4088        |
+| 0.704  | 55   | 0.3846        |
+| 0.7168 | 56   | 0.4591        |
+| 0.7296 | 57   | 0.4135        |
+| 0.7424 | 58   | 0.3038        |
+| 0.7552 | 59   | 0.4156        |
+| 0.768  | 60   | 0.3611        |
+| 0.7808 | 61   | 0.3517        |
+| 0.7936 | 62   | 0.4054        |
+| 0.8064 | 63   | 0.3859        |
+| 0.8192 | 64   | 0.463         |
+| 0.832  | 65   | 0.4033        |
+| 0.8448 | 66   | 0.4706        |
+| 0.8576 | 67   | 0.4508        |
+| 0.8704 | 68   | 0.3988        |
+| 0.8832 | 69   | 0.2877        |
+| 0.896  | 70   | 0.4187        |
+| 0.9088 | 71   | 0.4109        |
+| 0.9216 | 72   | 0.317         |
+| 0.9344 | 73   | 0.4432        |
+| 0.9472 | 74   | 0.4396        |
+| 0.96   | 75   | 0.4123        |
+| 0.9728 | 76   | 0.3119        |
+| 0.9856 | 77   | 0.3858        |
+| 0.9984 | 78   | 0.4166        |
+
+
+### Framework Versions
+- Python: 3.12.3
+- Sentence Transformers: 3.3.1
+- Transformers: 4.44.2
+- PyTorch: 2.5.1
+- Accelerate: 1.2.1
+- Datasets: 2.19.0
+- 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",
+}
+```
+
+#### 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.*
+-->

config.json

@@ -0,0 +1,24 @@
+{
+  "_name_or_path": "sentence-transformers/all-mpnet-base-v2",
+  "architectures": [
+    "MPNetModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "mpnet",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "relative_attention_num_buckets": 32,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.2",
+  "vocab_size": 30527
+}

config_sentence_transformers.json

@@ -0,0 +1,10 @@
+{
+  "__version__": {
+    "sentence_transformers": "3.3.1",
+    "transformers": "4.44.2",
+    "pytorch": "2.5.1"
+  },
+  "prompts": {},
+  "default_prompt_name": null,
+  "similarity_fn_name": "cosine"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68292d571922fb035788497a6f32b663f5feb3db3cc4fe37b4eee3305bf45825
+size 218994824

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": 384,
+  "do_lower_case": false
+}

special_tokens_map.json

@@ -0,0 +1,51 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,72 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "104": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "30526": {
+      "content": "<mask>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "do_lower_case": true,
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "max_length": 128,
+  "model_max_length": 384,
+  "pad_to_multiple_of": null,
+  "pad_token": "<pad>",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
+  "sep_token": "</s>",
+  "stride": 0,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "MPNetTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "[UNK]"
+}