Add new SentenceTransformer model

1_Pooling/config.json

@@ -0,0 +1,10 @@
+{
+  "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
+}

README.md

@@ -0,0 +1,809 @@
+---
+tags:
+- sentence-transformers
+- sentence-similarity
+- feature-extraction
+- generated_from_trainer
+- dataset_size:6612
+- loss:MatryoshkaLoss
+- loss:MultipleNegativesRankingLoss
+base_model: Snowflake/snowflake-arctic-embed-m
+widget:
+- source_sentence: Who besought that the words might be preached to them the next
+    sabbath?
+  sentences:
+  - 'But the midwives feared God, and did not as the king of Egypt commanded them,
+    but saved the men children alive. And the king of Egypt called for the midwives,
+    and said unto them, Why have ye done this thing, and have saved the men children
+    alive? And the midwives said unto Pharaoh, Because the Hebrew women [are] not
+    as the Egyptian women; for they [are] lively, and are delivered ere the midwives
+    come in unto them. Therefore God dealt well with the midwives: and the people
+    multiplied, and waxed very mighty. And it came to pass, because the midwives feared
+    God, that he made them houses. And Pharaoh charged all his people, saying, Every
+    son that is born ye shall cast into the river, and every daughter ye shall save
+    alive.'
+  - 'And the watchman cried, and told the king. And the king said, If he [be] alone,
+    [there is] tidings in his mouth. And he came apace, and drew near. And the watchman
+    saw another man running: and the watchman called unto the porter, and said, Behold
+    [another] man running alone. And the king said, He also bringeth tidings. And
+    the watchman said, Me thinketh the running of the foremost is like the running
+    of Ahimaaz the son of Zadok. And the king said, He [is] a good man, and cometh
+    with good tidings. And Ahimaaz called, and said unto the king, All is well. And
+    he fell down to the earth upon his face before the king, and said, Blessed [be]
+    the LORD thy God, which hath delivered up the men that lifted up their hand against
+    my lord the king. And the king said, [Is] the young man Absalom safe? And Ahimaaz
+    answered, When Joab sent the king’s servant, and [me] thy servant, I saw a great
+    tumult, but I knew not what [it was]. And the king said [unto him], Turn aside,
+    [and] stand here. And he turned aside, and stood still. And, behold, Cushi came;
+    and Cushi said, Tidings, my lord the king: for the LORD hath avenged thee this
+    day of all them that rose up against thee. And the king said unto Cushi, [Is]
+    the young man Absalom safe? And Cushi answered, The enemies of my lord the king,
+    and all that rise against thee to do [thee] hurt, be as [that] young man [is].'
+  - 'Behold, ye despisers, and wonder, and perish: for I work a work in your days,
+    a work which ye shall in no wise believe, though a man declare it unto you. And
+    when the Jews were gone out of the synagogue, the Gentiles besought that these
+    words might be preached to them the next sabbath. Now when the congregation was
+    broken up, many of the Jews and religious proselytes followed Paul and Barnabas:
+    who, speaking to them, persuaded them to continue in the grace of God. And the
+    next sabbath day came almost the whole city together to hear the word of God.
+    But when the Jews saw the multitudes, they were filled with envy, and spake against
+    those things which were spoken by Paul, contradicting and blaspheming. Then Paul
+    and Barnabas waxed bold, and said, It was necessary that the word of God should
+    first have been spoken to you: but seeing ye put it from you, and judge yourselves
+    unworthy of everlasting life, lo, we turn to the Gentiles. For so hath the Lord
+    commanded us, [saying], I have set thee to be a light of the Gentiles, that thou
+    shouldest be for salvation unto the ends of the earth. And when the Gentiles heard
+    this, they were glad, and glorified the word of the Lord: and as many as were
+    ordained to eternal life believed.'
+- source_sentence: What will the LORD do if the people hearken unto Him and keep His
+    commandments?
+  sentences:
+  - 'And ye shall not go out of the door of the tabernacle of the congregation [in]
+    seven days, until the days of your consecration be at an end: for seven days shall
+    he consecrate you. As he hath done this day, [so] the LORD hath commanded to do,
+    to make an atonement for you. Therefore shall ye abide [at] the door of the tabernacle
+    of the congregation day and night seven days, and keep the charge of the LORD,
+    that ye die not: for so I am commanded. So Aaron and his sons did all things which
+    the LORD commanded by the hand of Moses.'
+  - 'Then all Israel gathered themselves to David unto Hebron, saying, Behold, we
+    [are] thy bone and thy flesh. And moreover in time past, even when Saul was king,
+    thou [wast] he that leddest out and broughtest in Israel: and the LORD thy God
+    said unto thee, Thou shalt feed my people Israel, and thou shalt be ruler over
+    my people Israel. Therefore came all the elders of Israel to the king to Hebron;
+    and David made a covenant with them in Hebron before the LORD; and they anointed
+    David king over Israel, according to the word of the LORD by Samuel. And David
+    and all Israel went to Jerusalem, which [is] Jebus; where the Jebusites [were],
+    the inhabitants of the land. And the inhabitants of Jebus said to David, Thou
+    shalt not come hither. Nevertheless David took the castle of Zion, which [is]
+    the city of David. And David said, Whosoever smiteth the Jebusites first shall
+    be chief and captain. So Joab the son of Zeruiah went first up, and was chief.
+    And David dwelt in the castle; therefore they called it the city of David. And
+    he built the city round about, even from Millo round about: and Joab repaired
+    the rest of the city.'
+  - 'For I will have respect unto you, and make you fruitful, and multiply you, and
+    establish my covenant with you. And ye shall eat old store, and bring forth the
+    old because of the new. And I will set my tabernacle among you: and my soul shall
+    not abhor you. And I will walk among you, and will be your God, and ye shall be
+    my people. I [am] the LORD your God, which brought you forth out of the land of
+    Egypt, that ye should not be their bondmen; and I have broken the bands of your
+    yoke, and made you go upright. But if ye will not hearken unto me, and will not
+    do all these commandments; And if ye shall despise my statutes, or if your soul
+    abhor my judgments, so that ye will not do all my commandments, [but] that ye
+    break my covenant: I also will do this unto you; I will even appoint over you
+    terror, consumption, and the burning ague, that shall consume the eyes, and cause
+    sorrow of heart: and ye shall sow your seed in vain, for your enemies shall eat
+    it.'
+- source_sentence: How are the nations that fight against Ariel described in their
+    outcome?
+  sentences:
+  - 'Then the LORD put forth his hand, and touched my mouth. And the LORD said unto
+    me, Behold, I have put my words in thy mouth. See, I have this day set thee over
+    the nations and over the kingdoms, to root out, and to pull down, and to destroy,
+    and to throw down, to build, and to plant. Moreover the word of the LORD came
+    unto me, saying, Jeremiah, what seest thou? And I said, I see a rod of an almond
+    tree. Then said the LORD unto me, Thou hast well seen: for I will hasten my word
+    to perform it. And the word of the LORD came unto me the second time, saying,
+    What seest thou? And I said, I see a seething pot; and the face thereof [is] toward
+    the north. Then the LORD said unto me, Out of the north an evil shall break forth
+    upon all the inhabitants of the land. For, lo, I will call all the families of
+    the kingdoms of the north, saith the LORD; and they shall come, and they shall
+    set every one his throne at the entering of the gates of Jerusalem, and against
+    all the walls thereof round about, and against all the cities of Judah. And I
+    will utter my judgments against them touching all their wickedness, who have forsaken
+    me, and have burned incense unto other gods, and worshipped the works of their
+    own hands.'
+  - 'Woe to Ariel, to Ariel, the city [where] David dwelt! add ye year to year; let
+    them kill sacrifices. Yet I will distress Ariel, and there shall be heaviness
+    and sorrow: and it shall be unto me as Ariel. And I will camp against thee round
+    about, and will lay siege against thee with a mount, and I will raise forts against
+    thee. And thou shalt be brought down, [and] shalt speak out of the ground, and
+    thy speech shall be low out of the dust, and thy voice shall be, as of one that
+    hath a familiar spirit, out of the ground, and thy speech shall whisper out of
+    the dust. Moreover the multitude of thy strangers shall be like small dust, and
+    the multitude of the terrible ones [shall be] as chaff that passeth away: yea,
+    it shall be at an instant suddenly. Thou shalt be visited of the LORD of hosts
+    with thunder, and with earthquake, and great noise, with storm and tempest, and
+    the flame of devouring fire. And the multitude of all the nations that fight against
+    Ariel, even all that fight against her and her munition, and that distress her,
+    shall be as a dream of a night vision. It shall even be as when an hungry [man]
+    dreameth, and, behold, he eateth; but he awaketh, and his soul is empty: or as
+    when a thirsty man dreameth, and, behold, he drinketh; but he awaketh, and, behold,
+    [he is] faint, and his soul hath appetite: so shall the multitude of all the nations
+    be, that fight against mount Zion.'
+  - And they were both naked, the man and his wife, and were not ashamed.
+- source_sentence: What will happen to the horn and arm of Moab according to the LORD?
+  sentences:
+  - 'The horn of Moab is cut off, and his arm is broken, saith the LORD. Make ye him
+    drunken: for he magnified [himself] against the LORD: Moab also shall wallow in
+    his vomit, and he also shall be in derision. For was not Israel a derision unto
+    thee? was he found among thieves? for since thou spakest of him, thou skippedst
+    for joy. O ye that dwell in Moab, leave the cities, and dwell in the rock, and
+    be like the dove [that] maketh her nest in the sides of the hole’s mouth. We have
+    heard the pride of Moab, (he is exceeding proud) his loftiness, and his arrogancy,
+    and his pride, and the haughtiness of his heart. I know his wrath, saith the LORD;
+    but [it shall] not [be] so; his lies shall not so effect [it]. Therefore will
+    I howl for Moab, and I will cry out for all Moab; [mine heart] shall mourn for
+    the men of Kirheres. O vine of Sibmah, I will weep for thee with the weeping of
+    Jazer: thy plants are gone over the sea, they reach [even] to the sea of Jazer:
+    the spoiler is fallen upon thy summer fruits and upon thy vintage.'
+  - 'Wherefore be ye not unwise, but understanding what the will of the Lord [is].
+    And be not drunk with wine, wherein is excess; but be filled with the Spirit;
+    Speaking to yourselves in psalms and hymns and spiritual songs, singing and making
+    melody in your heart to the Lord; Giving thanks always for all things unto God
+    and the Father in the name of our Lord Jesus Christ; Submitting yourselves one
+    to another in the fear of God. Wives, submit yourselves unto your own husbands,
+    as unto the Lord. For the husband is the head of the wife, even as Christ is the
+    head of the church: and he is the saviour of the body. Therefore as the church
+    is subject unto Christ, so [let] the wives [be] to their own husbands in every
+    thing.'
+  - 'And it came to pass, when the LORD would take up Elijah into heaven by a whirlwind,
+    that Elijah went with Elisha from Gilgal. And Elijah said unto Elisha, Tarry here,
+    I pray thee; for the LORD hath sent me to Bethel. And Elisha said [unto him, As]
+    the LORD liveth, and [as] thy soul liveth, I will not leave thee. So they went
+    down to Bethel. And the sons of the prophets that [were] at Bethel came forth
+    to Elisha, and said unto him, Knowest thou that the LORD will take away thy master
+    from thy head to day? And he said, Yea, I know [it]; hold ye your peace. And Elijah
+    said unto him, Elisha, tarry here, I pray thee; for the LORD hath sent me to Jericho.
+    And he said, [As] the LORD liveth, and [as] thy soul liveth, I will not leave
+    thee. So they came to Jericho. And the sons of the prophets that [were] at Jericho
+    came to Elisha, and said unto him, Knowest thou that the LORD will take away thy
+    master from thy head to day? And he answered, Yea, I know [it]; hold ye your peace.
+    And Elijah said unto him, Tarry, I pray thee, here; for the LORD hath sent me
+    to Jordan. And he said, [As] the LORD liveth, and [as] thy soul liveth, I will
+    not leave thee. And they two went on. And fifty men of the sons of the prophets
+    went, and stood to view afar off: and they two stood by Jordan. And Elijah took
+    his mantle, and wrapped [it] together, and smote the waters, and they were divided
+    hither and thither, so that they two went over on dry ground.'
+- source_sentence: Whom did David smite and subdue, taking Gath and her towns from
+    their control?
+  sentences:
+  - 'Remember, I beseech thee, that thou hast made me as the clay; and wilt thou bring
+    me into dust again? Hast thou not poured me out as milk, and curdled me like cheese?
+    Thou hast clothed me with skin and flesh, and hast fenced me with bones and sinews.
+    Thou hast granted me life and favour, and thy visitation hath preserved my spirit.
+    And these [things] hast thou hid in thine heart: I know that this [is] with thee.
+    If I sin, then thou markest me, and thou wilt not acquit me from mine iniquity.
+    If I be wicked, woe unto me; and [if] I be righteous, [yet] will I not lift up
+    my head. [I am] full of confusion; therefore see thou mine affliction; For it
+    increaseth. Thou huntest me as a fierce lion: and again thou shewest thyself marvellous
+    upon me.'
+  - 'Now after this it came to pass, that David smote the Philistines, and subdued
+    them, and took Gath and her towns out of the hand of the Philistines. And he smote
+    Moab; and the Moabites became David’s servants, [and] brought gifts. And David
+    smote Hadarezer king of Zobah unto Hamath, as he went to stablish his dominion
+    by the river Euphrates. And David took from him a thousand chariots, and seven
+    thousand horsemen, and twenty thousand footmen: David also houghed all the chariot
+    [horses], but reserved of them an hundred chariots. And when the Syrians of Damascus
+    came to help Hadarezer king of Zobah, David slew of the Syrians two and twenty
+    thousand men. Then David put [garrisons] in Syriadamascus; and the Syrians became
+    David’s servants, [and] brought gifts. Thus the LORD preserved David whithersoever
+    he went. And David took the shields of gold that were on the servants of Hadarezer,
+    and brought them to Jerusalem. Likewise from Tibhath, and from Chun, cities of
+    Hadarezer, brought David very much brass, wherewith Solomon made the brasen sea,
+    and the pillars, and the vessels of brass.'
+  - 'So Shishak king of Egypt came up against Jerusalem, and took away the treasures
+    of the house of the LORD, and the treasures of the king’s house; he took all:
+    he carried away also the shields of gold which Solomon had made. Instead of which
+    king Rehoboam made shields of brass, and committed [them] to the hands of the
+    chief of the guard, that kept the entrance of the king’s house. And when the king
+    entered into the house of the LORD, the guard came and fetched them, and brought
+    them again into the guard chamber. And when he humbled himself, the wrath of the
+    LORD turned from him, that he would not destroy [him] altogether: and also in
+    Judah things went well. So king Rehoboam strengthened himself in Jerusalem, and
+    reigned: for Rehoboam [was] one and forty years old when he began to reign, and
+    he reigned seventeen years in Jerusalem, the city which the LORD had chosen out
+    of all the tribes of Israel, to put his name there. And his mother’s name [was]
+    Naamah an Ammonitess. And he did evil, because he prepared not his heart to seek
+    the LORD. Now the acts of Rehoboam, first and last, [are] they not written in
+    the book of Shemaiah the prophet, and of Iddo the seer concerning genealogies?
+    And [there were] wars between Rehoboam and Jeroboam continually. And Rehoboam
+    slept with his fathers, and was buried in the city of David: and Abijah his son
+    reigned in his stead.'
+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 Snowflake/snowflake-arctic-embed-m
+  results:
+  - task:
+      type: information-retrieval
+      name: Information Retrieval
+    dataset:
+      name: validation
+      type: validation
+    metrics:
+    - type: cosine_accuracy@1
+      value: 0.647912885662432
+      name: Cosine Accuracy@1
+    - type: cosine_accuracy@3
+      value: 0.8330308529945554
+      name: Cosine Accuracy@3
+    - type: cosine_accuracy@5
+      value: 0.8729582577132486
+      name: Cosine Accuracy@5
+    - type: cosine_accuracy@10
+      value: 0.9237749546279492
+      name: Cosine Accuracy@10
+    - type: cosine_precision@1
+      value: 0.647912885662432
+      name: Cosine Precision@1
+    - type: cosine_precision@3
+      value: 0.2776769509981851
+      name: Cosine Precision@3
+    - type: cosine_precision@5
+      value: 0.17459165154264972
+      name: Cosine Precision@5
+    - type: cosine_precision@10
+      value: 0.0923774954627949
+      name: Cosine Precision@10
+    - type: cosine_recall@1
+      value: 0.017997580157289778
+      name: Cosine Recall@1
+    - type: cosine_recall@3
+      value: 0.02313974591651543
+      name: Cosine Recall@3
+    - type: cosine_recall@5
+      value: 0.024248840492034688
+      name: Cosine Recall@5
+    - type: cosine_recall@10
+      value: 0.02566041540633193
+      name: Cosine Recall@10
+    - type: cosine_ndcg@10
+      value: 0.17391225053060402
+      name: Cosine Ndcg@10
+    - type: cosine_mrr@10
+      value: 0.7468556448592748
+      name: Cosine Mrr@10
+    - type: cosine_map@100
+      value: 0.020838529961750816
+      name: Cosine Map@100
+---
+
+# SentenceTransformer based on Snowflake/snowflake-arctic-embed-m
+
+This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [Snowflake/snowflake-arctic-embed-m](https://huggingface.co/Snowflake/snowflake-arctic-embed-m). 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:** [Snowflake/snowflake-arctic-embed-m](https://huggingface.co/Snowflake/snowflake-arctic-embed-m) <!-- at revision fc74610d18462d218e312aa986ec5c8a75a98152 -->
+- **Maximum Sequence Length:** 512 tokens
+- **Output Dimensionality:** 768 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/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': False}) 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("vijayarulmuthu/finetuned_arctic_ft-a85433c9-6284-4afb-8e87-e110823d565c")
+# Run inference
+sentences = [
+    'Whom did David smite and subdue, taking Gath and her towns from their control?',
+    'Now after this it came to pass, that David smote the Philistines, and subdued them, and took Gath and her towns out of the hand of the Philistines. And he smote Moab; and the Moabites became David’s servants, [and] brought gifts. And David smote Hadarezer king of Zobah unto Hamath, as he went to stablish his dominion by the river Euphrates. And David took from him a thousand chariots, and seven thousand horsemen, and twenty thousand footmen: David also houghed all the chariot [horses], but reserved of them an hundred chariots. And when the Syrians of Damascus came to help Hadarezer king of Zobah, David slew of the Syrians two and twenty thousand men. Then David put [garrisons] in Syriadamascus; and the Syrians became David’s servants, [and] brought gifts. Thus the LORD preserved David whithersoever he went. And David took the shields of gold that were on the servants of Hadarezer, and brought them to Jerusalem. Likewise from Tibhath, and from Chun, cities of Hadarezer, brought David very much brass, wherewith Solomon made the brasen sea, and the pillars, and the vessels of brass.',
+    'So Shishak king of Egypt came up against Jerusalem, and took away the treasures of the house of the LORD, and the treasures of the king’s house; he took all: he carried away also the shields of gold which Solomon had made. Instead of which king Rehoboam made shields of brass, and committed [them] to the hands of the chief of the guard, that kept the entrance of the king’s house. And when the king entered into the house of the LORD, the guard came and fetched them, and brought them again into the guard chamber. And when he humbled himself, the wrath of the LORD turned from him, that he would not destroy [him] altogether: and also in Judah things went well. So king Rehoboam strengthened himself in Jerusalem, and reigned: for Rehoboam [was] one and forty years old when he began to reign, and he reigned seventeen years in Jerusalem, the city which the LORD had chosen out of all the tribes of Israel, to put his name there. And his mother’s name [was] Naamah an Ammonitess. And he did evil, because he prepared not his heart to seek the LORD. Now the acts of Rehoboam, first and last, [are] they not written in the book of Shemaiah the prophet, and of Iddo the seer concerning genealogies? And [there were] wars between Rehoboam and Jeroboam continually. And Rehoboam slept with his fathers, and was buried in the city of David: and Abijah his son reigned in his stead.',
+]
+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.*
+-->
+
+## Evaluation
+
+### Metrics
+
+#### Information Retrieval
+
+* Dataset: `validation`
+* Evaluated with [<code>InformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator)
+
+| Metric              | Value      |
+|:--------------------|:-----------|
+| cosine_accuracy@1   | 0.6479     |
+| cosine_accuracy@3   | 0.833      |
+| cosine_accuracy@5   | 0.873      |
+| cosine_accuracy@10  | 0.9238     |
+| cosine_precision@1  | 0.6479     |
+| cosine_precision@3  | 0.2777     |
+| cosine_precision@5  | 0.1746     |
+| cosine_precision@10 | 0.0924     |
+| cosine_recall@1     | 0.018      |
+| cosine_recall@3     | 0.0231     |
+| cosine_recall@5     | 0.0242     |
+| cosine_recall@10    | 0.0257     |
+| **cosine_ndcg@10**  | **0.1739** |
+| cosine_mrr@10       | 0.7469     |
+| cosine_map@100      | 0.0208     |
+
+<!--
+## 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: 6,612 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: 7 tokens</li><li>mean: 17.56 tokens</li><li>max: 42 tokens</li></ul> | <ul><li>min: 13 tokens</li><li>mean: 250.95 tokens</li><li>max: 504 tokens</li></ul> |
+* Samples:
+  | sentence_0                                                                                         | sentence_1                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               |
+  |:---------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+  | <code>What was the reason given by Elijah the prophet for the LORD's punishment on Jehoram?</code> | <code>Then Jehoram went forth with his princes, and all his chariots with him: and he rose up by night, and smote the Edomites which compassed him in, and the captains of the chariots. So the Edomites revolted from under the hand of Judah unto this day. The same time [also] did Libnah revolt from under his hand; because he had forsaken the LORD God of his fathers. Moreover he made high places in the mountains of Judah, and caused the inhabitants of Jerusalem to commit fornication, and compelled Judah [thereto]. And there came a writing to him from Elijah the prophet, saying, Thus saith the LORD God of David thy father, Because thou hast not walked in the ways of Jehoshaphat thy father, nor in the ways of Asa king of Judah, But hast walked in the way of the kings of Israel, and hast made Judah and the inhabitants of Jerusalem to go a whoring, like to the whoredoms of the house of Ahab, and also hast slain thy brethren of thy father’s house, [which were] better than thyself: Behold, with a gre...</code> |
+  | <code>What happened at the sixth hour until the ninth hour according to the passage?</code>        | <code>And we indeed justly; for we receive the due reward of our deeds: but this man hath done nothing amiss. And he said unto Jesus, Lord, remember me when thou comest into thy kingdom. And Jesus said unto him, Verily I say unto thee, To day shalt thou be with me in paradise. And it was about the sixth hour, and there was a darkness over all the earth until the ninth hour. And the sun was darkened, and the veil of the temple was rent in the midst. And when Jesus had cried with a loud voice, he said, Father, into thy hands I commend my spirit: and having said thus, he gave up the ghost. Now when the centurion saw what was done, he glorified God, saying, Certainly this was a righteous man. And all the people that came together to that sight, beholding the things which were done, smote their breasts, and returned.</code>                                                                                                                                                                                           |
+  | <code>Who is commanded by the Lord to set a watchman and declare what he sees?</code>              | <code>The burden of the desert of the sea. As whirlwinds in the south pass through; [so] it cometh from the desert, from a terrible land. A grievous vision is declared unto me; the treacherous dealer dealeth treacherously, and the spoiler spoileth. Go up, O Elam: besiege, O Media; all the sighing thereof have I made to cease. Therefore are my loins filled with pain: pangs have taken hold upon me, as the pangs of a woman that travaileth: I was bowed down at the hearing [of it]; I was dismayed at the seeing [of it]. My heart panted, fearfulness affrighted me: the night of my pleasure hath he turned into fear unto me. Prepare the table, watch in the watchtower, eat, drink: arise, ye princes, [and] anoint the shield. For thus hath the Lord said unto me, Go, set a watchman, let him declare what he seeth. And he saw a chariot [with] a couple of horsemen, a chariot of asses, [and] a chariot of camels; and he hearkened diligently with much heed: And he cried, A lion: My lord, I stand continually upo...</code> |
+* Loss: [<code>MatryoshkaLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#matryoshkaloss) with these parameters:
+  ```json
+  {
+      "loss": "MultipleNegativesRankingLoss",
+      "matryoshka_dims": [
+          768,
+          512,
+          256,
+          128,
+          64
+      ],
+      "matryoshka_weights": [
+          1,
+          1,
+          1,
+          1,
+          1
+      ],
+      "n_dims_per_step": -1
+  }
+  ```
+
+### Training Hyperparameters
+#### Non-Default Hyperparameters
+
+- `eval_strategy`: steps
+- `per_device_train_batch_size`: 10
+- `per_device_eval_batch_size`: 10
+- `num_train_epochs`: 10
+- `multi_dataset_batch_sampler`: round_robin
+
+#### All Hyperparameters
+<details><summary>Click to expand</summary>
+
+- `overwrite_output_dir`: False
+- `do_predict`: False
+- `eval_strategy`: steps
+- `prediction_loss_only`: True
+- `per_device_train_batch_size`: 10
+- `per_device_eval_batch_size`: 10
+- `per_gpu_train_batch_size`: None
+- `per_gpu_eval_batch_size`: None
+- `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`: 10
+- `max_steps`: -1
+- `lr_scheduler_type`: linear
+- `lr_scheduler_kwargs`: {}
+- `warmup_ratio`: 0.0
+- `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`: False
+- `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`: None
+- `hub_always_push`: False
+- `gradient_checkpointing`: False
+- `gradient_checkpointing_kwargs`: None
+- `include_inputs_for_metrics`: False
+- `include_for_metrics`: []
+- `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
+- `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
+- `use_liger_kernel`: False
+- `eval_use_gather_object`: False
+- `average_tokens_across_devices`: False
+- `prompts`: None
+- `batch_sampler`: batch_sampler
+- `multi_dataset_batch_sampler`: round_robin
+
+</details>
+
+### Training Logs
+<details><summary>Click to expand</summary>
+
+| Epoch  | Step | Training Loss | validation_cosine_ndcg@10 |
+|:------:|:----:|:-------------:|:-------------------------:|
+| 0.0755 | 50   | -             | 0.0982                    |
+| 0.1511 | 100  | -             | 0.1408                    |
+| 0.2266 | 150  | -             | 0.1546                    |
+| 0.3021 | 200  | -             | 0.1612                    |
+| 0.3776 | 250  | -             | 0.1655                    |
+| 0.4532 | 300  | -             | 0.1663                    |
+| 0.5287 | 350  | -             | 0.1710                    |
+| 0.6042 | 400  | -             | 0.1704                    |
+| 0.6798 | 450  | -             | 0.1713                    |
+| 0.7553 | 500  | 2.378         | 0.1702                    |
+| 0.8308 | 550  | -             | 0.1727                    |
+| 0.9063 | 600  | -             | 0.1734                    |
+| 0.9819 | 650  | -             | 0.1741                    |
+| 1.0    | 662  | -             | 0.1745                    |
+| 1.0574 | 700  | -             | 0.1752                    |
+| 1.1329 | 750  | -             | 0.1761                    |
+| 1.2085 | 800  | -             | 0.1750                    |
+| 1.2840 | 850  | -             | 0.1719                    |
+| 1.3595 | 900  | -             | 0.1730                    |
+| 1.4350 | 950  | -             | 0.1760                    |
+| 1.5106 | 1000 | 0.7402        | 0.1776                    |
+| 1.5861 | 1050 | -             | 0.1757                    |
+| 1.6616 | 1100 | -             | 0.1774                    |
+| 1.7372 | 1150 | -             | 0.1757                    |
+| 1.8127 | 1200 | -             | 0.1749                    |
+| 1.8882 | 1250 | -             | 0.1745                    |
+| 1.9637 | 1300 | -             | 0.1758                    |
+| 2.0    | 1324 | -             | 0.1776                    |
+| 2.0393 | 1350 | -             | 0.1772                    |
+| 2.1148 | 1400 | -             | 0.1751                    |
+| 2.1903 | 1450 | -             | 0.1757                    |
+| 2.2659 | 1500 | 0.467         | 0.1742                    |
+| 2.3414 | 1550 | -             | 0.1748                    |
+| 2.4169 | 1600 | -             | 0.1738                    |
+| 2.4924 | 1650 | -             | 0.1749                    |
+| 2.5680 | 1700 | -             | 0.1772                    |
+| 2.6435 | 1750 | -             | 0.1772                    |
+| 2.7190 | 1800 | -             | 0.1772                    |
+| 2.7946 | 1850 | -             | 0.1774                    |
+| 2.8701 | 1900 | -             | 0.1770                    |
+| 2.9456 | 1950 | -             | 0.1757                    |
+| 3.0    | 1986 | -             | 0.1771                    |
+| 3.0211 | 2000 | 0.2653        | 0.1762                    |
+| 3.0967 | 2050 | -             | 0.1745                    |
+| 3.1722 | 2100 | -             | 0.1748                    |
+| 3.2477 | 2150 | -             | 0.1749                    |
+| 3.3233 | 2200 | -             | 0.1766                    |
+| 3.3988 | 2250 | -             | 0.1746                    |
+| 3.4743 | 2300 | -             | 0.1749                    |
+| 3.5498 | 2350 | -             | 0.1766                    |
+| 3.6254 | 2400 | -             | 0.1752                    |
+| 3.7009 | 2450 | -             | 0.1749                    |
+| 3.7764 | 2500 | 0.1809        | 0.1746                    |
+| 3.8520 | 2550 | -             | 0.1751                    |
+| 3.9275 | 2600 | -             | 0.1755                    |
+| 4.0    | 2648 | -             | 0.1744                    |
+| 4.0030 | 2650 | -             | 0.1747                    |
+| 4.0785 | 2700 | -             | 0.1747                    |
+| 4.1541 | 2750 | -             | 0.1766                    |
+| 4.2296 | 2800 | -             | 0.1761                    |
+| 4.3051 | 2850 | -             | 0.1745                    |
+| 4.3807 | 2900 | -             | 0.1748                    |
+| 4.4562 | 2950 | -             | 0.1753                    |
+| 4.5317 | 3000 | 0.1368        | 0.1741                    |
+| 4.6073 | 3050 | -             | 0.1718                    |
+| 4.6828 | 3100 | -             | 0.1730                    |
+| 4.7583 | 3150 | -             | 0.1735                    |
+| 4.8338 | 3200 | -             | 0.1753                    |
+| 4.9094 | 3250 | -             | 0.1744                    |
+| 4.9849 | 3300 | -             | 0.1752                    |
+| 5.0    | 3310 | -             | 0.1758                    |
+| 5.0604 | 3350 | -             | 0.1771                    |
+| 5.1360 | 3400 | -             | 0.1758                    |
+| 5.2115 | 3450 | -             | 0.1741                    |
+| 5.2870 | 3500 | 0.1178        | 0.1741                    |
+| 5.3625 | 3550 | -             | 0.1746                    |
+| 5.4381 | 3600 | -             | 0.1744                    |
+| 5.5136 | 3650 | -             | 0.1740                    |
+| 5.5891 | 3700 | -             | 0.1743                    |
+| 5.6647 | 3750 | -             | 0.1744                    |
+| 5.7402 | 3800 | -             | 0.1733                    |
+| 5.8157 | 3850 | -             | 0.1747                    |
+| 5.8912 | 3900 | -             | 0.1755                    |
+| 5.9668 | 3950 | -             | 0.1734                    |
+| 6.0    | 3972 | -             | 0.1740                    |
+| 6.0423 | 4000 | 0.0878        | 0.1745                    |
+| 6.1178 | 4050 | -             | 0.1734                    |
+| 6.1934 | 4100 | -             | 0.1725                    |
+| 6.2689 | 4150 | -             | 0.1748                    |
+| 6.3444 | 4200 | -             | 0.1743                    |
+| 6.4199 | 4250 | -             | 0.1742                    |
+| 6.4955 | 4300 | -             | 0.1738                    |
+| 6.5710 | 4350 | -             | 0.1756                    |
+| 6.6465 | 4400 | -             | 0.1746                    |
+| 6.7221 | 4450 | -             | 0.1754                    |
+| 6.7976 | 4500 | 0.0697        | 0.1756                    |
+| 6.8731 | 4550 | -             | 0.1755                    |
+| 6.9486 | 4600 | -             | 0.1755                    |
+| 7.0    | 4634 | -             | 0.1755                    |
+| 7.0242 | 4650 | -             | 0.1752                    |
+| 7.0997 | 4700 | -             | 0.1766                    |
+| 7.1752 | 4750 | -             | 0.1745                    |
+| 7.2508 | 4800 | -             | 0.1751                    |
+| 7.3263 | 4850 | -             | 0.1746                    |
+| 7.4018 | 4900 | -             | 0.1747                    |
+| 7.4773 | 4950 | -             | 0.1742                    |
+| 7.5529 | 5000 | 0.0643        | 0.1743                    |
+| 7.6284 | 5050 | -             | 0.1736                    |
+| 7.7039 | 5100 | -             | 0.1739                    |
+| 7.7795 | 5150 | -             | 0.1737                    |
+| 7.8550 | 5200 | -             | 0.1736                    |
+| 7.9305 | 5250 | -             | 0.1744                    |
+| 8.0    | 5296 | -             | 0.1750                    |
+| 8.0060 | 5300 | -             | 0.1751                    |
+| 8.0816 | 5350 | -             | 0.1742                    |
+| 8.1571 | 5400 | -             | 0.1739                    |
+| 8.2326 | 5450 | -             | 0.1745                    |
+| 8.3082 | 5500 | 0.0521        | 0.1745                    |
+| 8.3837 | 5550 | -             | 0.1746                    |
+| 8.4592 | 5600 | -             | 0.1743                    |
+| 8.5347 | 5650 | -             | 0.1744                    |
+| 8.6103 | 5700 | -             | 0.1750                    |
+| 8.6858 | 5750 | -             | 0.1749                    |
+| 8.7613 | 5800 | -             | 0.1748                    |
+| 8.8369 | 5850 | -             | 0.1747                    |
+| 8.9124 | 5900 | -             | 0.1747                    |
+| 8.9879 | 5950 | -             | 0.1746                    |
+| 9.0    | 5958 | -             | 0.1746                    |
+| 9.0634 | 6000 | 0.044         | 0.1745                    |
+| 9.1390 | 6050 | -             | 0.1742                    |
+| 9.2145 | 6100 | -             | 0.1740                    |
+| 9.2900 | 6150 | -             | 0.1742                    |
+| 9.3656 | 6200 | -             | 0.1744                    |
+| 9.4411 | 6250 | -             | 0.1739                    |
+| 9.5166 | 6300 | -             | 0.1737                    |
+| 9.5921 | 6350 | -             | 0.1740                    |
+| 9.6677 | 6400 | -             | 0.1738                    |
+| 9.7432 | 6450 | -             | 0.1739                    |
+| 9.8187 | 6500 | 0.043         | 0.1738                    |
+| 9.8943 | 6550 | -             | 0.1738                    |
+| 9.9698 | 6600 | -             | 0.1739                    |
+| 10.0   | 6620 | -             | 0.1739                    |
+
+</details>
+
+### Framework Versions
+- Python: 3.13.3
+- Sentence Transformers: 4.1.0
+- Transformers: 4.52.3
+- PyTorch: 2.7.0
+- Accelerate: 1.7.0
+- Datasets: 3.6.0
+- Tokenizers: 0.21.1
+
+## 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}
+}
+```
+
+<!--
+## 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 +1,25 @@
+{
+  "architectures": [
+    "BertModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.52.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

config_sentence_transformers.json

@@ -0,0 +1,12 @@
+{
+  "__version__": {
+    "sentence_transformers": "4.1.0",
+    "transformers": "4.52.3",
+    "pytorch": "2.7.0"
+  },
+  "prompts": {
+    "query": "Represent this sentence for searching relevant passages: "
+  },
+  "default_prompt_name": null,
+  "similarity_fn_name": "cosine"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5ffaa35210cc87ffd0da6cdc2189993610a9c9e2a2ded4dab26a7eed512b76f9
+size 435588776

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": 512,
+  "do_lower_case": false
+}

special_tokens_map.json

@@ -0,0 +1,37 @@
+{
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "[PAD]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "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 +1,63 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "max_length": 512,
+  "model_max_length": 512,
+  "pad_to_multiple_of": null,
+  "pad_token": "[PAD]",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
+  "sep_token": "[SEP]",
+  "stride": 0,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "[UNK]"
+}