checkpoint-774/README.md

metadata

base_model: microsoft/deberta-v2-xlarge
datasets:
  - tals/vitaminc
  - allenai/scitail
  - allenai/sciq
  - allenai/qasc
  - sentence-transformers/msmarco-msmarco-distilbert-base-v3
  - sentence-transformers/natural-questions
  - sentence-transformers/trivia-qa
  - sentence-transformers/gooaq
  - google-research-datasets/paws
language:
  - en
library_name: sentence-transformers
metrics:
  - pearson_cosine
  - spearman_cosine
  - pearson_manhattan
  - spearman_manhattan
  - pearson_euclidean
  - spearman_euclidean
  - pearson_dot
  - spearman_dot
  - pearson_max
  - spearman_max
  - cosine_accuracy
  - cosine_accuracy_threshold
  - cosine_f1
  - cosine_f1_threshold
  - cosine_precision
  - cosine_recall
  - cosine_ap
  - dot_accuracy
  - dot_accuracy_threshold
  - dot_f1
  - dot_f1_threshold
  - dot_precision
  - dot_recall
  - dot_ap
  - manhattan_accuracy
  - manhattan_accuracy_threshold
  - manhattan_f1
  - manhattan_f1_threshold
  - manhattan_precision
  - manhattan_recall
  - manhattan_ap
  - euclidean_accuracy
  - euclidean_accuracy_threshold
  - euclidean_f1
  - euclidean_f1_threshold
  - euclidean_precision
  - euclidean_recall
  - euclidean_ap
  - max_accuracy
  - max_accuracy_threshold
  - max_f1
  - max_f1_threshold
  - max_precision
  - max_recall
  - max_ap
pipeline_tag: sentence-similarity
tags:
  - sentence-transformers
  - sentence-similarity
  - feature-extraction
  - generated_from_trainer
  - dataset_size:123245
  - loss:CachedGISTEmbedLoss
widget:
  - source_sentence: how long does it take to recover from total knee replacement surgery
    sentences:
      - >-
        Sweets and Oily Foods. Snacks or desserts are generally okay to eat on a
        bland diet, provided you do so in moderation. For example, most cakes,
        cookies, gelatin desserts, puddings and hard candies are acceptable.
        However, chocolate and minty treats cause digestion issues.
      - >-
        Since the spring of 2004, when Estonia became a member of the European
        Union, Estonia has demonstrated that it is an active and constructive
        partner and continues with these pragmatic policies in its further
        integration into the EU.
      - >-
        Of course, every person is different and recovery periods can vary,
        depending on a number of factors. A typical full recovery from a total
        knee replacement is three to 12 months. However, know that the harder
        you work rehabbing, the more likely you are to enjoy a faster and fuller
        recovery. Knee replacement.
  - source_sentence: >-
      More than 273 people have died from the 2019-20 coronavirus outside
      mainland China .
    sentences:
      - >-
        More than 3,700 people have died : around 3,100 in mainland China and
        around 550 in all other countries combined .
      - >-
        More than 3,200 people have died : almost 3,000 in mainland China and
        around 275 in other countries .
      - more than 4,900 deaths have been attributed to COVID-19 .
  - source_sentence: Humans possess a(n) endoskeleton.
    sentences:
      - >-
        Of the three types of skeleton designs - hydrostatic skeletons,
        exoskeletons, and endoskeletons - which do humans possess?
      - Electrons always result in what?
      - >-
        What do we call the recycling of inorganic matter between living
        organisms and their environment?
  - source_sentence: Birds have four limbs.
    sentences:
      - How many dimensions can humans see in?
      - How many limbs to birds have?
      - Community interactions are important factors in what?
  - source_sentence: The dodo was a native bird of which island?
    sentences:
      - >-
        1000+ images about Medusa (jellyfish) on Pinterest | Fish swimming,
        Darth vader and Swimming In pictures: The world's best underwater
        photographs 2010 'Inner glow' - jellyfish in Ningaloo Reef, Australia
        More
      - >-
        The Dodo Bird | History, Story and Resources for Dodobirds The Story of
        the Dodo Bird A Reference Site for The Dodo Bird and it's History The
        Dodo bird or Raphus Cucullatus was a flightless bird native to the
        island of Mauritius, near the island of Madagascar in the Indian Ocean.
        The closest relatives to the dodo bird are pigeons and doves, even
        though dodo birds were much larger in size. On average, dodo birds stood
        3 feet tall and weighted about 40 lb. Unfortunately, due to aggressive
        human population, dodo birds became extinct in late 17th century. The
        Dodo Bird Location Dodo Birds, while now extinct, were found only on the
        small island of Mauritius, some 500 miles east of Madagascar, and 1200
        miles east of Africa. The complete isolation of this island let the Dodo
        Birds grow and evolve without natural predators, unfortunately to a
        fault that led to their extinction.
      - >-
        Ludwig van Beethoven - Symphony No. 6 in F major, op. 68 "Pastorale" -
        YouTube Ludwig van Beethoven - Symphony No. 6 in F major, op. 68
        "Pastorale" Want to watch this again later? Sign in to add this video to
        a playlist. Need to report the video? Sign in to report inappropriate
        content. Rating is available when the video has been rented. This
        feature is not available right now. Please try again later. Published on
        Mar 8, 2012 Ludwig van Beethoven - Symphony No. 6 in F major, op. 68
        "Pastorale" Category
model-index:
  - name: SentenceTransformer based on microsoft/deberta-v2-xlarge
    results:
      - task:
          type: semantic-similarity
          name: Semantic Similarity
        dataset:
          name: sts test
          type: sts-test
        metrics:
          - type: pearson_cosine
            value: 0.9021470099112117
            name: Pearson Cosine
          - type: spearman_cosine
            value: 0.907700664607013
            name: Spearman Cosine
          - type: pearson_manhattan
            value: 0.9142235212520329
            name: Pearson Manhattan
          - type: spearman_manhattan
            value: 0.9078543851898925
            name: Spearman Manhattan
          - type: pearson_euclidean
            value: 0.9135854372994908
            name: Pearson Euclidean
          - type: spearman_euclidean
            value: 0.9072292995707775
            name: Spearman Euclidean
          - type: pearson_dot
            value: 0.8917251782363848
            name: Pearson Dot
          - type: spearman_dot
            value: 0.8887621545424798
            name: Spearman Dot
          - type: pearson_max
            value: 0.9142235212520329
            name: Pearson Max
          - type: spearman_max
            value: 0.9078543851898925
            name: Spearman Max
      - task:
          type: binary-classification
          name: Binary Classification
        dataset:
          name: allNLI dev
          type: allNLI-dev
        metrics:
          - type: cosine_accuracy
            value: 0.7109375
            name: Cosine Accuracy
          - type: cosine_accuracy_threshold
            value: 0.8685251474380493
            name: Cosine Accuracy Threshold
          - type: cosine_f1
            value: 0.5822222222222222
            name: Cosine F1
          - type: cosine_f1_threshold
            value: 0.6784489154815674
            name: Cosine F1 Threshold
          - type: cosine_precision
            value: 0.4729241877256318
            name: Cosine Precision
          - type: cosine_recall
            value: 0.7572254335260116
            name: Cosine Recall
          - type: cosine_ap
            value: 0.5715847909509861
            name: Cosine Ap
          - type: dot_accuracy
            value: 0.705078125
            name: Dot Accuracy
          - type: dot_accuracy_threshold
            value: 886.351318359375
            name: Dot Accuracy Threshold
          - type: dot_f1
            value: 0.5940170940170941
            name: Dot F1
          - type: dot_f1_threshold
            value: 659.7857666015625
            name: Dot F1 Threshold
          - type: dot_precision
            value: 0.4711864406779661
            name: Dot Precision
          - type: dot_recall
            value: 0.8034682080924855
            name: Dot Recall
          - type: dot_ap
            value: 0.5644148142455192
            name: Dot Ap
          - type: manhattan_accuracy
            value: 0.712890625
            name: Manhattan Accuracy
          - type: manhattan_accuracy_threshold
            value: 551.571533203125
            name: Manhattan Accuracy Threshold
          - type: manhattan_f1
            value: 0.5863453815261045
            name: Manhattan F1
          - type: manhattan_f1_threshold
            value: 831.1856689453125
            name: Manhattan F1 Threshold
          - type: manhattan_precision
            value: 0.4492307692307692
            name: Manhattan Precision
          - type: manhattan_recall
            value: 0.8439306358381503
            name: Manhattan Recall
          - type: manhattan_ap
            value: 0.5708799354607844
            name: Manhattan Ap
          - type: euclidean_accuracy
            value: 0.708984375
            name: Euclidean Accuracy
          - type: euclidean_accuracy_threshold
            value: 15.756305694580078
            name: Euclidean Accuracy Threshold
          - type: euclidean_f1
            value: 0.5840000000000001
            name: Euclidean F1
          - type: euclidean_f1_threshold
            value: 26.798587799072266
            name: Euclidean F1 Threshold
          - type: euclidean_precision
            value: 0.44648318042813456
            name: Euclidean Precision
          - type: euclidean_recall
            value: 0.8439306358381503
            name: Euclidean Recall
          - type: euclidean_ap
            value: 0.5670650775218166
            name: Euclidean Ap
          - type: max_accuracy
            value: 0.712890625
            name: Max Accuracy
          - type: max_accuracy_threshold
            value: 886.351318359375
            name: Max Accuracy Threshold
          - type: max_f1
            value: 0.5940170940170941
            name: Max F1
          - type: max_f1_threshold
            value: 831.1856689453125
            name: Max F1 Threshold
          - type: max_precision
            value: 0.4729241877256318
            name: Max Precision
          - type: max_recall
            value: 0.8439306358381503
            name: Max Recall
          - type: max_ap
            value: 0.5715847909509861
            name: Max Ap
      - task:
          type: binary-classification
          name: Binary Classification
        dataset:
          name: Qnli dev
          type: Qnli-dev
        metrics:
          - type: cosine_accuracy
            value: 0.69140625
            name: Cosine Accuracy
          - type: cosine_accuracy_threshold
            value: 0.677927553653717
            name: Cosine Accuracy Threshold
          - type: cosine_f1
            value: 0.7079037800687284
            name: Cosine F1
          - type: cosine_f1_threshold
            value: 0.6066854000091553
            name: Cosine F1 Threshold
          - type: cosine_precision
            value: 0.5953757225433526
            name: Cosine Precision
          - type: cosine_recall
            value: 0.8728813559322034
            name: Cosine Recall
          - type: cosine_ap
            value: 0.7135273513673487
            name: Cosine Ap
          - type: dot_accuracy
            value: 0.669921875
            name: Dot Accuracy
          - type: dot_accuracy_threshold
            value: 615.3697509765625
            name: Dot Accuracy Threshold
          - type: dot_f1
            value: 0.6946308724832215
            name: Dot F1
          - type: dot_f1_threshold
            value: 583.5701293945312
            name: Dot F1 Threshold
          - type: dot_precision
            value: 0.575
            name: Dot Precision
          - type: dot_recall
            value: 0.8771186440677966
            name: Dot Recall
          - type: dot_ap
            value: 0.6697900654196967
            name: Dot Ap
          - type: manhattan_accuracy
            value: 0.705078125
            name: Manhattan Accuracy
          - type: manhattan_accuracy_threshold
            value: 754.4404296875
            name: Manhattan Accuracy Threshold
          - type: manhattan_f1
            value: 0.701168614357262
            name: Manhattan F1
          - type: manhattan_f1_threshold
            value: 882.8988037109375
            name: Manhattan F1 Threshold
          - type: manhattan_precision
            value: 0.5785123966942148
            name: Manhattan Precision
          - type: manhattan_recall
            value: 0.8898305084745762
            name: Manhattan Recall
          - type: manhattan_ap
            value: 0.7236352677013607
            name: Manhattan Ap
          - type: euclidean_accuracy
            value: 0.70703125
            name: Euclidean Accuracy
          - type: euclidean_accuracy_threshold
            value: 24.364826202392578
            name: Euclidean Accuracy Threshold
          - type: euclidean_f1
            value: 0.7003367003367004
            name: Euclidean F1
          - type: euclidean_f1_threshold
            value: 28.203102111816406
            name: Euclidean F1 Threshold
          - type: euclidean_precision
            value: 0.5810055865921788
            name: Euclidean Precision
          - type: euclidean_recall
            value: 0.8813559322033898
            name: Euclidean Recall
          - type: euclidean_ap
            value: 0.720573540901372
            name: Euclidean Ap
          - type: max_accuracy
            value: 0.70703125
            name: Max Accuracy
          - type: max_accuracy_threshold
            value: 754.4404296875
            name: Max Accuracy Threshold
          - type: max_f1
            value: 0.7079037800687284
            name: Max F1
          - type: max_f1_threshold
            value: 882.8988037109375
            name: Max F1 Threshold
          - type: max_precision
            value: 0.5953757225433526
            name: Max Precision
          - type: max_recall
            value: 0.8898305084745762
            name: Max Recall
          - type: max_ap
            value: 0.7236352677013607
            name: Max Ap

SentenceTransformer based on microsoft/deberta-v2-xlarge

This is a sentence-transformers model finetuned from microsoft/deberta-v2-xlarge on the negation-triplets, vitaminc-pairs, scitail-pairs-qa, scitail-pairs-pos, xsum-pairs, sciq_pairs, qasc_pairs, openbookqa_pairs, msmarco_pairs, nq_pairs, trivia_pairs, gooaq_pairs, paws-pos and global_dataset datasets. It maps sentences & paragraphs to a 1536-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: microsoft/deberta-v2-xlarge
• Maximum Sequence Length: 512 tokens
• Output Dimensionality: 1536 tokens
• Similarity Function: Cosine Similarity
• Training Datasets:
  • negation-triplets
  • vitaminc-pairs
  • scitail-pairs-qa
  • scitail-pairs-pos
  • xsum-pairs
  • sciq_pairs
  • qasc_pairs
  • openbookqa_pairs
  • msmarco_pairs
  • nq_pairs
  • trivia_pairs
  • gooaq_pairs
  • paws-pos
  • global_dataset
• Language: en

Model Sources

• Documentation: Sentence Transformers Documentation
• Repository: Sentence Transformers on GitHub
• Hugging Face: Sentence Transformers on Hugging Face

Full Model Architecture

SentenceTransformer(
  (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: DebertaV2Model 
  (1): Pooling({'word_embedding_dimension': 1536, '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})
)

Usage

Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

pip install -U sentence-transformers

Then you can load this model and run inference.

from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("bobox/DeBERTa2-0.9B-ST-v1-checkpoints-tmp")
# Run inference
sentences = [
    'The dodo was a native bird of which island?',
    "The Dodo Bird | History, Story and Resources for Dodobirds The Story of the Dodo Bird A Reference Site for The Dodo Bird and it's History The Dodo bird or Raphus Cucullatus was a flightless bird native to the island of Mauritius, near the island of Madagascar in the Indian Ocean. The closest relatives to the dodo bird are pigeons and doves, even though dodo birds were much larger in size. On average, dodo birds stood 3 feet tall and weighted about 40 lb. Unfortunately, due to aggressive human population, dodo birds became extinct in late 17th century. The Dodo Bird Location Dodo Birds, while now extinct, were found only on the small island of Mauritius, some 500 miles east of Madagascar, and 1200 miles east of Africa. The complete isolation of this island let the Dodo Birds grow and evolve without natural predators, unfortunately to a fault that led to their extinction.",
    'Ludwig van Beethoven - Symphony No. 6 in F major, op. 68 "Pastorale" - YouTube Ludwig van Beethoven - Symphony No. 6 in F major, op. 68 "Pastorale" Want to watch this again later? Sign in to add this video to a playlist. Need to report the video? Sign in to report inappropriate content. Rating is available when the video has been rented. This feature is not available right now. Please try again later. Published on Mar 8, 2012 Ludwig van Beethoven - Symphony No. 6 in F major, op. 68 "Pastorale" Category',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 1536]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]

Evaluation

Metrics

Semantic Similarity

• Dataset: sts-test
• Evaluated with EmbeddingSimilarityEvaluator

Metric	Value
pearson_cosine	0.9021
spearman_cosine	0.9077
pearson_manhattan	0.9142
spearman_manhattan	0.9079
pearson_euclidean	0.9136
spearman_euclidean	0.9072
pearson_dot	0.8917
spearman_dot	0.8888
pearson_max	0.9142
spearman_max	0.9079

Binary Classification

• Dataset: allNLI-dev
• Evaluated with BinaryClassificationEvaluator

Metric	Value
cosine_accuracy	0.7109
cosine_accuracy_threshold	0.8685
cosine_f1	0.5822
cosine_f1_threshold	0.6784
cosine_precision	0.4729
cosine_recall	0.7572
cosine_ap	0.5716
dot_accuracy	0.7051
dot_accuracy_threshold	886.3513
dot_f1	0.594
dot_f1_threshold	659.7858
dot_precision	0.4712
dot_recall	0.8035
dot_ap	0.5644
manhattan_accuracy	0.7129
manhattan_accuracy_threshold	551.5715
manhattan_f1	0.5863
manhattan_f1_threshold	831.1857
manhattan_precision	0.4492
manhattan_recall	0.8439
manhattan_ap	0.5709
euclidean_accuracy	0.709
euclidean_accuracy_threshold	15.7563
euclidean_f1	0.584
euclidean_f1_threshold	26.7986
euclidean_precision	0.4465
euclidean_recall	0.8439
euclidean_ap	0.5671
max_accuracy	0.7129
max_accuracy_threshold	886.3513
max_f1	0.594
max_f1_threshold	831.1857
max_precision	0.4729
max_recall	0.8439
max_ap	0.5716

Binary Classification

• Dataset: Qnli-dev
• Evaluated with BinaryClassificationEvaluator

Metric	Value
cosine_accuracy	0.6914
cosine_accuracy_threshold	0.6779
cosine_f1	0.7079
cosine_f1_threshold	0.6067
cosine_precision	0.5954
cosine_recall	0.8729
cosine_ap	0.7135
dot_accuracy	0.6699
dot_accuracy_threshold	615.3698
dot_f1	0.6946
dot_f1_threshold	583.5701
dot_precision	0.575
dot_recall	0.8771
dot_ap	0.6698
manhattan_accuracy	0.7051
manhattan_accuracy_threshold	754.4404
manhattan_f1	0.7012
manhattan_f1_threshold	882.8988
manhattan_precision	0.5785
manhattan_recall	0.8898
manhattan_ap	0.7236
euclidean_accuracy	0.707
euclidean_accuracy_threshold	24.3648
euclidean_f1	0.7003
euclidean_f1_threshold	28.2031
euclidean_precision	0.581
euclidean_recall	0.8814
euclidean_ap	0.7206
max_accuracy	0.707
max_accuracy_threshold	754.4404
max_f1	0.7079
max_f1_threshold	882.8988
max_precision	0.5954
max_recall	0.8898
max_ap	0.7236

Training Details

Training Datasets

negation-triplets

• Dataset: negation-triplets
• Size: 6,700 training samples
• Columns: anchor, entailment, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	entailment	negative
  type	string	string	string
  details	min: 5 tokens mean: 21.95 tokens max: 174 tokens	min: 4 tokens mean: 13.84 tokens max: 43 tokens	min: 5 tokens mean: 14.09 tokens max: 42 tokens

• Samples:

  anchor	entailment	negative
  Wetherby is a town in West Yorkshire , England .	Wetherby Athletic play in the West Yorkshire League .	Wetherby Athletic play in the East Yorkshire League .
  vulnerability and exploitation of such workers and the need for legal representation to give meaning to their legal rights.	These workers have legal rights, and they will need legal representation to avoid being exploited.	These workers have no legal rights, and they will not need legal representation to avoid being exploited.
  A man in a green t-shirt stands at a rail with a woman in a gray t-shirt and a wrist tattoo.	A man stand at a rail with a woman.	A man does not stand at a rail with a woman.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

vitaminc-pairs

• Dataset: vitaminc-pairs at be6febb
• Size: 6,700 training samples
• Columns: claim and evidence
• Approximate statistics based on the first 1000 samples:

  	claim	evidence
  type	string	string
  details	min: 6 tokens mean: 16.06 tokens max: 43 tokens	min: 8 tokens mean: 37.3 tokens max: 145 tokens

• Samples:

  claim	evidence
  Maze Runner : The Death Cure made over $ 260 million worldwide , and over $ 205 outside the US and Canada .	, Maze Runner : The Death Cure has grossed $ 55million in the United States and Canada , and $ 206.3million in other territories , for a worldwide total of $ 261.3million , against a production budget of $ 62million .
  The Score 's average rating on Rotten Tomatoes is 6.6/10 .	The review aggregator Rotten Tomatoes gives the film a rating of 73 % based on 128 reviews , and a rating average of 6.6/10 .
  Shaan Rahman released his album Coffee in 2008 .	He got the chance to work in Ee Pattanathil Bhootham after the wide acceptance and popularity of his 2008 music album Coffee at MG Road which he did along with his friend , singer , and director Vineeth Srinivasan .

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

scitail-pairs-qa

• Dataset: scitail-pairs-qa at 0cc4353
• Size: 6,700 training samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 7 tokens mean: 16.19 tokens max: 39 tokens	min: 6 tokens mean: 15.29 tokens max: 34 tokens

• Samples:

  sentence1	sentence2
  The endoplasmic reticulum is the name of the organelle that helps make and transport proteins and lipids.	What is the name of the organelle that helps make and transport proteins and lipids?
  Character displacement is the concept by which two species within the same area to coexist by adapting by developing different specializations.	What is the concept by which two species within the same area to coexist by adapting by developing different specializations?
  Of the three basic types of radioactive emissions, the gamma particle is the most penetrating.	Of the three basic types of radioactive emissions, what particle is the most penetrating?

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

scitail-pairs-pos

• Dataset: scitail-pairs-pos at 0cc4353
• Size: 5,762 training samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 5 tokens mean: 23.51 tokens max: 58 tokens	min: 7 tokens mean: 15.68 tokens max: 35 tokens

• Samples:

  sentence1	sentence2
  The cation comes first, both in the name and in the formula for an ionic compound.	In naming ternary compounds, the cation is stated first.
  For example, the Earth completes one rotation about its axis about every 24 hours, but it completes one revolution around the Sun about every 365 days.	It takes 24 hours for the earth to make a complete rotation of its axis.
  Stress is the force applied to a body.	The force applied to an object is called stress.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

xsum-pairs

• Dataset: xsum-pairs
• Size: 6,700 training samples
• Columns: document and summary
• Approximate statistics based on the first 1000 samples:

  	document	summary
  type	string	string
  details	min: 58 tokens mean: 213.23 tokens max: 385 tokens	min: 7 tokens mean: 25.47 tokens max: 42 tokens

• Samples:

  document	summary
  Mathew Sears in the US state of Oregon adopted one-year-old Silky just days after the BBC had published her story. "Silky likes people and is super friendly and outgoing," said Mr Sears. He added that he was also "hair-challenged" and he joked that he imagined Silky would say, "There's Daddy!" when they first met. The "live feed from space" that wasn't Is this photograph Tom Hanks or Bill Murray? US liver donor weds the stranger he saved The Oregon Humane Society (OHS) in Portland had been caring for Silky after her original owners, who were moving away, said they would no longer be able to cater for her. A staff member had knitted the sweater to help Silky stay warm because she was often cold. The hamster had been born hairless due to a genetic mutation, except for short curly whiskers on her snout. "She does need to be kept in a heated environment," especially in winter, said Diana Gabaldon from the OHS. "While she isn't fluffy like a normal hamster, she is just as cuddly and playful as any other hamster," Ms Gabaldon added. The OHS said Sears had contacted them "right away" after reading the hamster's story over the weekend. "He went straight to OHS and met Silky, and it was a match," the charity said on its website. Sears said of his visit to the shelter: "Even if I had not adopted, it was a good experience, there was so much love." The OHS sent Silky to her new home with a care package including her habitat and her tiny sweater.	A tiny hairless hamster who got a custom-made sweater to keep warm is adapting to her new home, her adopter has said.
  McKinnon, 45, led the Kirkcaldy club to five victories last month, including notable wins over promotion rivals Hibernian and Greenock Morton. Rovers, who drew 3-3 with league leaders Rangers on Saturday, are fourth in the Championship and have all but secured a place in the play-offs. Ex-Brechin City manager McKinnon took charge at Stark's Park last year.	Raith Rovers' Ray McKinnon has been named Scottish Championship manager of the month for March.
  The pundit and radio host was ordered to pay £24,000 in damages to food blogger Jack Monroe earlier this month. Ms Monroe sued Ms Hopkins over two tweets posted in May 2015 which accused her of vandalising a war memorial. Mr Justice Warby said the grounds of Ms Hopkins' appeal would not have "a real prospect of success" in his view. Ms Hopkins has also been ordered to pay £107,000 towards the campaigner's legal costs within 28 days. He ruled that the tweets had caused "Ms Monroe real and substantial distress" and she was entitled to "fair and reasonable compensation". The final costs figure has yet to be assessed. Mail Online columnist Ms Hopkins could appeal directly to the Court of Appeal. Following the original verdict, she argued that libel and defamation laws should be applied differently to cases involving social media.	Columnist Katie Hopkins has been told she cannot appeal against a libel action which landed her with a six-figure bill.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

sciq_pairs

• Dataset: sciq_pairs at 2c94ad3
• Size: 6,700 training samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 6 tokens mean: 16.85 tokens max: 63 tokens	min: 2 tokens mean: 86.94 tokens max: 512 tokens

• Samples:

  sentence1	sentence2
  What neutralizes the acidity of chyme and acts as a buffer?
  Some protists absorb nutrients from decaying matter like a what?	Some protists absorb nutrients from decaying matter like a fungus.
  What is the exchange of energy from one part of the universe to another called?	Heat is the exchange of energy from one part of the universe to another. Heat and energy have the same units.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

qasc_pairs

• Dataset: qasc_pairs at a34ba20
• Size: 5,177 training samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 5 tokens mean: 11.16 tokens max: 25 tokens	min: 15 tokens mean: 33.66 tokens max: 69 tokens

• Samples:

  sentence1	sentence2
  What can regrow sections that they have lost?	Annelids have the amazing capacity to regrow segments that break off.. Annelids include earthworms and leeches. Leeches have the amazing capacity to regrow segments that break off.
  What does glass do to light?	glass cause refraction of light. Refraction Refraction is the bending of light rays. glass bends light
  Chemotherapy and radiotherapy target cells dividing how?	Cancer cells divide more often than normal cells, and grow out of control.. Chemotherapy and radiotherapy target the rapidly dividing cancer cells. Chemotherapy and radiotherapy target cells dividing out of control

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

openbookqa_pairs

• Dataset: openbookqa_pairs
• Size: 3,029 training samples
• Columns: question and fact
• Approximate statistics based on the first 1000 samples:

  	question	fact
  type	string	string
  details	min: 4 tokens mean: 13.65 tokens max: 46 tokens	min: 5 tokens mean: 11.24 tokens max: 27 tokens

• Samples:

  question	fact
  Which is a cause of greenhouse gases?	animals exhale carbon dioxide from their lungs into the air
  Which would provide the greatest benefit to animals in an ecoystem?	a tree is a source of food for animals in an ecosystem
  Which of the following likely make up a path for electrical energy to travel to a device?	a closed circuit has continuous path

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

msmarco_pairs

• Dataset: msmarco_pairs at 28ff31e
• Size: 6,700 training samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 4 tokens mean: 8.6 tokens max: 22 tokens	min: 16 tokens mean: 74.11 tokens max: 192 tokens

• Samples:

  sentence1	sentence2
  how did germany's use of unrestricted submarine warfare lead to american entry into ww1	On April 4, 1917, the U.S. Senate voted in support of the measure to declare war on Germany. The House concurred two days later. The United States later declared war on Austria-Hungary on December 7, 1917.Germany's resumption of submarine attacks on passenger and merchant ships in 1917 was the primary motivation behind Wilson's decision to lead the United States into World War I.n April 4, 1917, the U.S. Senate voted in support of the measure to declare war on Germany. The House concurred two days later. The United States later declared war on Austria-Hungary on December 7, 1917.
  definition of malodorous	The definition of malodorous is something with a very unpleasant smell or odor. Sour and rotten milk is an example of something that would be described as malodorous.
  how long after surgery do you put ice on the wound?	However, do not put the ice directly on top of the wound until it is completely healed (at least 14 days). 1 Place ice in a clean plastic bag. (You can use a small bag of frozen peas instead. 2 Put a single layer of towel between the ice bag and your skin. 3 Check your skin under the ice. It should be a little bit pink.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

nq_pairs

• Dataset: nq_pairs at f9e894e
• Size: 6,700 training samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 9 tokens mean: 11.76 tokens max: 23 tokens	min: 17 tokens mean: 125.75 tokens max: 512 tokens

• Samples:

  sentence1	sentence2
  original artist of if you don know me by now	If You Don't Know Me by Now "If You Don't Know Me by Now" is a song written by Kenny Gamble and Leon Huff, and recorded by the Philly soul musical group Harold Melvin & the Blue Notes. It became their first hit after being released as a single in 1972, topping the US R&B chart and peaking at number three on the US Pop chart.[1]
  where is potassium located in the human body	Potassium Potassium ions are necessary for the function of all living cells. The transfer of potassium ions through nerve cell membranes is necessary for normal nerve transmission; potassium deficiency and excess can each result in numerous abnormalities, including an abnormal heart rhythm and various electrocardiographic (ECG) abnormalities. Fresh fruits and vegetables are good dietary sources of potassium. The body responds to the influx of dietary potassium, which raises serum potassium levels, with a shift of potassium from outside to inside cells and an increase in potassium excretion by the kidneys.
  who sang the theme song to empty nest	Empty Nest The show's theme song was "Life Goes On", written by John Bettis and George Tipton and performed by Billy Vera. For the first three seasons, the song was presented in a slower, more melancholy yet comical arrangement. The original opening titles sequence showed Harry Weston taking Dreyfuss for a walk around town, with still images of the other regular cast members shown as they were credited.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

trivia_pairs

• Dataset: trivia_pairs at a7c36e3
• Size: 3,749 training samples
• Columns: query and answer
• Approximate statistics based on the first 1000 samples:

  	query	answer
  type	string	string
  details	min: 8 tokens mean: 16.9 tokens max: 64 tokens	min: 17 tokens mean: 203.09 tokens max: 461 tokens

• Samples:

  query	answer
  What was the name of the cow in ‘The Woodentops’?	The Woodentops 1958 - YouTube The Woodentops 1958 Want to watch this again later? Sign in to add this video to a playlist. Need to report the video? Sign in to report inappropriate content. Rating is available when the video has been rented. This feature is not available right now. Please try again later. Uploaded on Jun 20, 2009 Idyllic life down on the farm with Mummy, Daddy, Jenny, Willy and Baby Woodentop. Buttercup the cow and Spotty Dog also made appearances Category
  What is the currency of Argentina?	ARS - Argentine Peso rates, news, and tools ARS - Argentine Peso Argentina, Peso The Argentine Peso is the currency of Argentina. Our currency rankings show that the most popular Argentina Peso exchange rate is the USD to ARS rate . The currency code for Pesos is ARS, and the currency symbol is $. Below, you'll find Argentine Peso rates and a currency converter. You can also subscribe to our currency newsletters with daily rates and analysis, read the XE Currency Blog , or take ARS rates on the go with our XE Currency Apps and website.
  Lorenzo, Tubal and Jessica are all characters in which Shakespeare play?	Tubal Tubal Tubal is a wealthy Jew of Venice, who lends Shylock enough to make up the full three thousand ducats the latter lends to Antonio.  Shylock sends him to track down Jessica, though he is unable to do so, only being able to make a list of all the bills she has run up over the course of her flight. He also brings Shylock news that Antonio is on the verge of bankruptcy.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

gooaq_pairs

• Dataset: gooaq_pairs at b089f72
• Size: 6,700 training samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 8 tokens mean: 11.49 tokens max: 24 tokens	min: 13 tokens mean: 55.56 tokens max: 124 tokens

• Samples:

  sentence1	sentence2
  how much does it cost to put a car in your name in washington?	The cost to transfer a title is $15.50 plus sales/use tax on purchase price. Purchase price must be within $2,000 of fair market value. Sales tax is not charged on gift transactions as long as DOL gift requirements are met. License subagents charge an extra fee of $12.00 to provide licensing services to your community.
  why do birds fly in v formations?	Anyone watching the autumn sky knows that migrating birds fly in a V formation, but scientists have long debated why. A new study of ibises finds that these big-winged birds carefully position their wingtips and sync their flapping, presumably to catch the preceding bird's updraft—and save energy during flight.
  what are some major differences between prokaryotes and eukaryotes?	There are several differences between the two, but the biggest distinction between them is that eukaryotic cells have a distinct nucleus containing the cell's genetic material, while prokaryotic cells don't have a nucleus and have free-floating genetic material instead.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

paws-pos

• Dataset: paws-pos at 161ece9
• Size: 6,700 training samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 8 tokens mean: 25.7 tokens max: 55 tokens	min: 8 tokens mean: 25.68 tokens max: 56 tokens

• Samples:

  sentence1	sentence2
  Bay County is a civil township of Garfield Township in the U.S. state of Michigan .	Bay County is a civil community of the Garfield Township in the U.S. state of Michigan .
  San Lorenzo Axocomanitla is a municipality in Mexico in the south-eastern Tlaxcala .	San Lorenzo Axocomanitla is a municipality in Mexico in south-eastern Tlaxcala .
  Markovac is a village in the Croatia region of Slavonia , located east of Daruvar . The population is 80 ( census 2011 ) .	The population is 80 ( census 2011 ) is a village in the Croatian region of Slavonia , located east of Daruvar .

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

global_dataset

• Dataset: global_dataset
• Size: 45,228 training samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 4 tokens mean: 28.66 tokens max: 318 tokens	min: 2 tokens mean: 50.83 tokens max: 512 tokens

• Samples:

  sentence1	sentence2
  how tall dana loesch	Dana Loesch stands with the height of 5 feet 7 inches and weighs about 62 kg. The exact amount of her net worth and salary are not made public by herself. Further information about her career can be found on several social medias on the internet. Last modified : 24 August, 2016.
  Sissi units have more weapons served by the crew and fewer sniper rifles than regular infantry .	Sissi units have more crew served weapons and fewer sniper rifles than regular infantry .
  A miscreant was killed while planting a bomb near CD shop at Chato Chowk early Monday.	Miscreant killed while planting bomb

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

Evaluation Datasets

vitaminc-pairs

• Dataset: vitaminc-pairs at be6febb
• Size: 128 evaluation samples
• Columns: claim and evidence
• Approximate statistics based on the first 1000 samples:

  	claim	evidence
  type	string	string
  details	min: 9 tokens mean: 19.71 tokens max: 38 tokens	min: 9 tokens mean: 32.5 tokens max: 78 tokens

• Samples:

  claim	evidence
  Dragon Con had over 5000 guests .	Among the more than 6000 guests and musical performers at the 2009 convention were such notables as Patrick Stewart , William Shatner , Leonard Nimoy , Terry Gilliam , Bruce Boxleitner , James Marsters , and Mary McDonnell .
  COVID-19 has reached more than 185 countries .	As of , more than cases of COVID-19 have been reported in more than 190 countries and 200 territories , resulting in more than deaths .
  In March , Italy had 3.6x times more cases of coronavirus than China .	As of 12 March , among nations with at least one million citizens , Italy has the world 's highest per capita rate of positive coronavirus cases at 206.1 cases per million people ( 3.6x times the rate of China ) and is the country with the second-highest number of positive cases as well as of deaths in the world , after China .

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

negation-triplets

• Dataset: negation-triplets
• Size: 128 evaluation samples
• Columns: anchor, entailment, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	entailment	negative
  type	string	string	string
  details	min: 9 tokens mean: 14.48 tokens max: 46 tokens	min: 7 tokens mean: 12.4 tokens max: 21 tokens	min: 7 tokens mean: 12.66 tokens max: 22 tokens

• Samples:

  anchor	entailment	negative
  A beautiful dessert waiting to be shared by two people	There is a piece of cake on a plate with decorations on it.	There is no piece of cake on a plate with decorations on it.
  A stone building with a clock displayed on the outside.	A tall multi-story building with a large clock atop it.	A short single-story building with a small clock atop it.
  The back door with a window in the kitchen.	The kitchen has a white door with a window.	The kitchen has a black door with no window.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

scitail-pairs-pos

• Dataset: scitail-pairs-pos at 0cc4353
• Size: 128 evaluation samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 9 tokens mean: 20.13 tokens max: 53 tokens	min: 8 tokens mean: 15.48 tokens max: 23 tokens

• Samples:

  sentence1	sentence2
  humans normally have 23 pairs of chromosomes.	Humans typically have 23 pairs pairs of chromosomes.
  A solution is a homogenous mixture of two or more substances that exist in a single phase.	Solution is the term for a homogeneous mixture of two or more substances.
  Upwelling The physical process in near-shore ocean systems of rising of nutrients and colder bottom waters to the surface because of constant wind patterns along the shoreline.	Upwelling is the term for when deep ocean water rises to the surface.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

scitail-pairs-qa

• Dataset: scitail-pairs-qa at 0cc4353
• Size: 128 evaluation samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 7 tokens mean: 15.05 tokens max: 29 tokens	min: 8 tokens mean: 14.33 tokens max: 32 tokens

• Samples:

  sentence1	sentence2
  Most red algae species live in oceans.	Where do most red algae species live?
  The innate immune system serves as a first responder to pathogenic threats that bypass natural physical and chemical barriers of the body.	What serves as a first responder to pathogenic threats that bypass natural physical and chemical barriers of the body?
  We call the recycling of inorganic matter between living organisms and their environment biogeochemical cycle.	What do we call the recycling of inorganic matter between living organisms and their environment?

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

xsum-pairs

• Dataset: xsum-pairs
• Size: 128 evaluation samples
• Columns: document and summary
• Approximate statistics based on the first 1000 samples:

  	document	summary
  type	string	string
  details	min: 67 tokens mean: 199.9 tokens max: 346 tokens	min: 13 tokens mean: 24.8 tokens max: 43 tokens

• Samples:

  document	summary
  Daniel Aimson, of Ullswater Road in Astley, Wigan, is also charged with misconduct in public office. The 35-year-old Greater Manchester Police officer was named alongside eight other men charged with conspiracy to produce cannabis. All are due to appear at Manchester City Magistrates Court on 20 October. A 26-year-old woman from Astley who was arrested on suspicion of money laundering and conspiracy to produce cannabis remains on bail. Greater Manchester Police said the charges are related to an investigation into the "large scale" production of cannabis. The force's anti-corruption unit is also involved.	A police officer has been charged with conspiracy to produce cannabis as part of an investigation into drugs supply in Greater Manchester.
  Weston, 28, was airlifted to hospital after falling on Benbane Head in the Fulke Walwyn Kim Muir Chase. Trainer Martin Keighley said: "The main thing is that his head is OK as the head injury was the main concern. "He has punctured both lungs so he will be in intensive care for two days just so they can keep a close eye on that." An official statement from the Injured Jockeys' Fund said Weston was stable in Southmead Hospital, Bristol. Weston's mount was not badly hurt in the fall, which took place during the sixth race of the day (16:40 GMT), but the 11-year-old has been taken out of Saturday's Betfred Midlands Grand National Chase at Uttoxeter. Two years ago, jockey JT McNamara was paralysed after a fall in the same race. The start of the concluding charity race was delayed by about 15 minutes while Weston was being treated on the course. Weston is an experienced amateur jockey from Worcestershire. He won the Fox Hunters' Chase on 50-1 chance Silver Adonis at Aintree's Grand National meeting in 2010 for trainer Dr Richard Newland.	Amateur jockey Tom Weston is being detained in intensive care after suffering two punctured lungs in a fall at the Cheltenham Festival on Thursday.
  The Foxes travel to St Mary's on Saturday seeking a fifth win in nine league games since Ranieri took charge. Ranieri said he spoke with the Saints before they appointed current boss Ronald Koeman in June 2014. "I was interested, but after that there was also the Greece job - and I made a mistake," said the Italian. Ranieri was appointed Greece manager in July 2014 but presided over three defeats and a draw in Euro 2016 qualifying before being replaced four months later. The 63-year-old has made a fine start since taking charge of Leicester in July, with the Foxes starting the weekend fifth in the Premier League table, three points behind leaders Manchester City.	Leicester City manager Claudio Ranieri says he held talks about becoming Southampton's boss before he took charge of Greece.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

sciq_pairs

• Dataset: sciq_pairs at 2c94ad3
• Size: 128 evaluation samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 9 tokens mean: 16.1 tokens max: 30 tokens	min: 2 tokens mean: 82.93 tokens max: 417 tokens

• Samples:

  sentence1	sentence2
  What is an attitude of doubt about the truthfulness of claims that lack empirical evidence?	Skepticism is an attitude of doubt about the truthfulness of claims that lack empirical evidence. Scientific skepticism , also referred to as skeptical inquiry, questions claims based on their scientific verifiability rather than simply accepting claims based on faith or anecdotes. Scientific skepticism uses critical thinking to analyze such claims and opposes claims which lack scientific evidence.
  What are variants of genes called?	Recall that our DNA is wound into chromosomes . Each of our chromosomes contains a long chain of DNA that encodes hundreds, if not thousands, of genes. Each of these genes can have slightly different versions from individual to individual. These variants of genes are called alleles . Each parent only donates one allele for each gene to an offspring.
  What is the separation of compounds on the basis of their solubilities in a given solvent?	temperature. In fact, the magnitudes of the changes in both enthalpy and entropy for dissolution are temperature dependent. Because the solubility of a compound is ultimately determined by relatively small differences between large numbers, there is generally no good way to predict how the solubility will vary with temperature. The variation of solubility with temperature has been measured for a wide range of compounds, and the results are published in many standard reference books. Chemists are often able to use this information to separate the components of a mixture byfractional crystallization, the separation of compounds on the basis of their solubilities in a given solvent. For example, if we have a mixture of 150 g of sodium acetate (CH3CO2Na) and 50 g of KBr, we can separate the two compounds by dissolving the mixture in 100 g of water at 80°C and then cooling the solution slowly to 0°C. According to the temperature curves in Figure 13.9 "Solubilities of Several Inorganic and Organic Solids in Water as a Function of Temperature", both compounds dissolve in water at 80°C, and all 50 g of KBr remains in solution at 0°C. Only about 36 g of CH3CO2Na are soluble in 100 g of water at 0°C, however, so approximately 114 g (150 g − 36 g) of CH3CO2Na crystallizes out on cooling. The crystals can then be separated by filtration. Thus fractional crystallization allows us to recover about 75% of the original CH3CO2Na in essentially pure form in only one step. Fractional crystallization is a common technique for purifying compounds as diverse as those shown in Figure 13.9 "Solubilities of Several Inorganic and Organic Solids in Water as a Function of Temperature" and from antibiotics to enzymes. For the technique to work properly, the compound of interest must be more soluble at high temperature than at low temperature, so that lowering the temperature causes it to crystallize out of solution. In addition, the impurities must be more soluble than the compound of interest (as was KBr in this example) and preferably present in relatively small amounts.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

qasc_pairs

• Dataset: qasc_pairs at a34ba20
• Size: 128 evaluation samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 4 tokens mean: 11.53 tokens max: 19 tokens	min: 16 tokens mean: 32.97 tokens max: 53 tokens

• Samples:

  sentence1	sentence2
  Mammals can also generate little bursts of heat by	Mammals can also generate little bursts of heat by shivering.. Shivering causes muscle contractions to warm the body. Mammals can also generate little bursts of heat by muscle contractions
  where are the key cells involved in the immune response made?	Lymphocytes are the key cells involved in the immune response.. Lymphocytes are produced in the bone marrow. the key cells involved in the immune response are produced in the bone marrow
  what do proteins fight?	Antibodies are large, Y-shaped proteins that recognize and bind to antigens.. Antibodies are produced to fight antigens. proteins fight antigens

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

openbookqa_pairs

• Dataset: openbookqa_pairs
• Size: 128 evaluation samples
• Columns: question and fact
• Approximate statistics based on the first 1000 samples:

  	question	fact
  type	string	string
  details	min: 3 tokens mean: 13.96 tokens max: 47 tokens	min: 4 tokens mean: 11.78 tokens max: 28 tokens

• Samples:

  question	fact
  The thermal production of a stove is generically used for	a stove generates heat for cooking usually
  What creates a valley?	a valley is formed by a river flowing
  when it turns day and night on a planet, what cause this?	a planet rotating causes cycles of day and night on that planet

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

msmarco_pairs

• Dataset: msmarco_pairs at 28ff31e
• Size: 128 evaluation samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 4 tokens mean: 8.73 tokens max: 24 tokens	min: 18 tokens mean: 75.49 tokens max: 174 tokens

• Samples:

  sentence1	sentence2
  lion of judah rasta meaning	Lion of Judah. In the Rastafarian religion, the Lion of Judah is an emblem of Ras Tafari, otherwise known as former Ethiopian Emperor Haile Selassie. According to Rastafarian belief, Selassie was the Messiah, the second coming of Christ referenced in the Book of Revelation:
  what's the horn?	The tsungi horn is a musical instrument used in the traditional music of the four nations. The... The tsungi horn is a musical instrument used in the traditional music of the four nations. The curved and highly polished horn is cast from metal, and is believed to have originated in the Fire...
  african nations where slaves were taken from	Black slaves that were taken to America were mainly from the West African countries that have a coastline on the Atlantic ocean. In some cases slaves were captured from other countries that are further inland then sent away on boats from the coastal towns. Three countries where most slaves are known to have come from are Sierra Leone, Liberia and Ghana. Other slaves from East African countries like Mozambique, Tanzania and Congo were sent to Europe and Asia.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

nq_pairs

• Dataset: nq_pairs at f9e894e
• Size: 128 evaluation samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 10 tokens mean: 11.64 tokens max: 21 tokens	min: 21 tokens mean: 119.62 tokens max: 339 tokens

• Samples:

  sentence1	sentence2
  when did the newest macbook air come out	MacBook Air On June 10, 2013, Apple released another update in the same form factor as the 2012 model during the company's Worldwide Developer Conference (WWDC). The 11" and 13" models have a minimum standard 4 GB RAM, with a maximum configuration of 8 GB. Both models are powered by the Haswell ULT 1.3 GHz dual-core Intel Core i5 processors, with Turbo Boost up to 2.6 GHz, while a 1.7 GHz Dual-Core i7, with Turbo Boost up to 3.3 GHz, option is also available. Each model's storage standard is 128 GB SSD, upgradeable to 256 GB and 512 GB SSD. Due to Haswell CPUs, battery life has considerably improved from the previous generation, and the mid-2013 models are capable of 9 hours on the 11" model and 12 hours on the 13" model; a team of reviewers exceeded expected battery life ratings during their test.[18]
  when does emma turn into the dark one	Emma Swan The daughter of Snow White and Prince Charming,[3] an ex-bail bonds collector, town sheriff of Storybrooke[4] and Henry Mills' biological mother.[4] Morrison described her character at the beginning of the first season as "broken, damaged and worldly".[4] During the fourth season finale, "Operation Mongoose", Emma absorbs the power of the Dark One into herself to save Storybrooke.[5] In order to successfully create a dark version of Emma, Morrison explained that "In order to build Dark Emma, I've been doing a bunch of research there with some of their mythology books and old fairy tale books and just looking back through the history of swans and the etymology of 'Swan'" and explained that Emma's rate of evolution "challenged [her] on a daily basis".[6] Emma became the primary antagonist of the fifth season's first half, until the end of the season's eighth episode when her real plans are revealed.
  who is the girl in justin timberlake what goes around comes around	What Goes Around... Comes Around The music video for the "What Goes Around... Comes Around" was produced as a short movie.[33][34] The video was directed by Samuel Bayer, who had first directorial works with Nirvana's 1991 single "Smells Like Teen Spirit".[33][34] The video features dialogues written by Alpha Dog writer and director Nick Cassavetes, who had previously worked with Timberlake in the film.[33][34] Timberlake and Bayer enlisted American actress Scarlett Johansson after deciding on using "real" actors.[33] The shooting went for three days between Christmas and New Year's Eve in Los Angeles.[33] The dawn scene was shot on January 8, after the original sessions were done.[33]

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

trivia_pairs

• Dataset: trivia_pairs at a7c36e3
• Size: 128 evaluation samples
• Columns: query and answer
• Approximate statistics based on the first 1000 samples:

  	query	answer
  type	string	string
  details	min: 8 tokens mean: 18.34 tokens max: 75 tokens	min: 20 tokens mean: 204.34 tokens max: 466 tokens

• Samples:

  query	answer
  By what name is Mrs Montagu Barstow better known?	Baroness Emmuska Orczy - Biography - IMDb Baroness Emmuska Orczy Jump to: Overview  (3)
  Which French singer and actress has been in a relationship with American actor Johnny Depp since 1998, with whom she has a daughter and a son?	Vanessa Paradis - YouTube Vanessa Paradis Want to watch this again later? Sign in to add this video to a playlist. Need to report the video? Sign in to report inappropriate content. The interactive transcript could not be loaded. Loading... Rating is available when the video has been rented. This feature is not available right now. Please try again later. Uploaded on Dec 11, 2009 http://www.youtube.com/watch?v=l3VwFr... Vanessa Chantal Paradis (born 22 December 1972) is a French singer and actress. She became a child star at 14 with the huge worldwide success of her single "Joe le taxi". Since then, she has accomplished a career in music, movies and modelling. Vanessa Paradis has been in a relationship with American actor Johnny Depp since 1998. They have a daughter, Lily-Rose Melody Depp (born 27 May 1999), and a son, John Christopher "Jack" Depp III (born 9 April 2002). They divide their time between houses in the Hollywood Hills and their farm in Île-de-France, South of France, a house in the village of Timsbury, Somerset, and also own apartments in Paris, Manhattan and an island in the Bahamas. Paradis' 2000 album Bliss, another French chart topper, was dedicated to Depp and their daughter. Paradis has a sister, actress Alysson Paradis, who is younger by 10 years and has starred in many French horror films. The actor and film producer, Didier Pain, is their uncle. Category
  Who is the co-director and co-writer of British television shows with Ricky Gervais?	Stephen Merchant wishes America a Happy 4th of July…sort of.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

gooaq_pairs

• Dataset: gooaq_pairs at b089f72
• Size: 128 evaluation samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 8 tokens mean: 11.52 tokens max: 18 tokens	min: 15 tokens mean: 52.82 tokens max: 95 tokens

• Samples:

  sentence1	sentence2
  do nuclear bombs leave radiation?	Nuclear weapons emit large amounts of thermal radiation as visible, infrared, and ultraviolet light, to which the atmosphere is largely transparent. This is known as "Flash". The chief hazards are burns and eye injuries. On clear days, these injuries can occur well beyond blast ranges, depending on weapon yield.
  how long does it take to get unclaimed property in illinois?	Once I file a claim how long does it take to receive my funds? Claims are processed within 60 days of receipt. If the claim is for shares of stock or mutual funds, it may take up to 90 days.
  how many tons in a cubic yard of rock?	A general rule of thumb when converting cubic yards of gravel to tons is to multiply the cubic area by 1.4. For your reference, gravel typically weighs 2,800 pounds per cubic yard. In addition, there are 2,000 pounds to a ton.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

paws-pos

• Dataset: paws-pos at 161ece9
• Size: 128 evaluation samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 10 tokens mean: 25.58 tokens max: 41 tokens	min: 10 tokens mean: 25.4 tokens max: 41 tokens

• Samples:

  sentence1	sentence2
  They were there to enjoy us and they were there to pray for us .	They were there for us to enjoy and they were there for us to pray .
  After the end of the war in June 1902 , Higgins left Southampton in the `` SSBavarian '' in August , returning to Cape Town the following month .	In August , after the end of the war in June 1902 , Higgins Southampton left the `` SSBavarian '' and returned to Cape Town the following month .
  From the merger of the Four Rivers Council and the Audubon Council , the Shawnee Trails Council was born .	Shawnee Trails Council was formed from the merger of the Four Rivers Council and the Audubon Council .

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

global_dataset

• Dataset: global_dataset
• Size: 416 evaluation samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 5 tokens mean: 29.63 tokens max: 316 tokens	min: 2 tokens mean: 56.16 tokens max: 466 tokens

• Samples:

  sentence1	sentence2
  More than 478,000 cases and more than 21,500 deaths have been reported worldwide .	more than 478,000 cases have been reported worldwide ; more than 21,500 people have died and more than 114,000 have recovered.
  Solutions are homogenous mixtures of two or more substances.	Solution is the term for a homogeneous mixture of two or more substances.
  What determines which codon in the mrna the trna will bind to?	The tRNA structure is a very important aspect in its role. Though the molecule folds into a 3-leaf clover structure, notice the anticodon arm in the lower segment of the molecule, with the amino acid attached at the opposite end of the molecule (acceptor stem). It is the anticodon that determines which codon in the mRNA the tRNA will bind to.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': 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()
  ), 'temperature': 0.025}
  

Training Hyperparameters

Non-Default Hyperparameters

• eval_strategy: steps
• per_device_train_batch_size: 64
• per_device_eval_batch_size: 128
• learning_rate: 3e-05
• weight_decay: 0.0005
• num_train_epochs: 2
• lr_scheduler_type: cosine_with_min_lr
• lr_scheduler_kwargs: {'num_cycles': 0.5, 'min_lr': 7.5e-06}
• warmup_ratio: 0.33
• save_safetensors: False
• fp16: True
• push_to_hub: True
• hub_model_id: bobox/DeBERTa2-0.9B-ST-v1-checkpoints-tmp
• hub_strategy: all_checkpoints
• batch_sampler: no_duplicates

All Hyperparameters

Click to expand

• overwrite_output_dir: False
• do_predict: False
• eval_strategy: steps
• prediction_loss_only: True
• per_device_train_batch_size: 64
• per_device_eval_batch_size: 128
• per_gpu_train_batch_size: None
• per_gpu_eval_batch_size: None
• gradient_accumulation_steps: 1
• eval_accumulation_steps: None
• learning_rate: 3e-05
• weight_decay: 0.0005
• adam_beta1: 0.9
• adam_beta2: 0.999
• adam_epsilon: 1e-08
• max_grad_norm: 1.0
• num_train_epochs: 2
• max_steps: -1
• lr_scheduler_type: cosine_with_min_lr
• lr_scheduler_kwargs: {'num_cycles': 0.5, 'min_lr': 7.5e-06}
• warmup_ratio: 0.33
• warmup_steps: 0
• log_level: passive
• log_level_replica: warning
• log_on_each_node: True
• logging_nan_inf_filter: True
• save_safetensors: False
• 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: True
• 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: True
• resume_from_checkpoint: None
• hub_model_id: bobox/DeBERTa2-0.9B-ST-v1-checkpoints-tmp
• hub_strategy: all_checkpoints
• 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
• batch_sampler: no_duplicates
• multi_dataset_batch_sampler: proportional

Training Logs

Epoch	Step	Training Loss	scitail-pairs-pos loss	gooaq pairs loss	msmarco pairs loss	sciq pairs loss	global dataset loss	scitail-pairs-qa loss	trivia pairs loss	nq pairs loss	vitaminc-pairs loss	xsum-pairs loss	qasc pairs loss	openbookqa pairs loss	negation-triplets loss	paws-pos loss	Qnli-dev_max_ap	allNLI-dev_max_ap	sts-test_spearman_cosine
0.0104	20	10.2062	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0207	40	7.9221	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0311	60	5.9499	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0414	80	6.0555	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0502	97	-	0.4556	3.3836	4.3960	0.4848	1.9564	1.1159	4.0240	4.4882	3.7554	3.2118	2.8566	2.1501	3.6898	0.1228	0.6198	0.4401	0.6552
0.0518	100	4.0315	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0621	120	1.6348	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0725	140	1.1866	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0829	160	0.6138	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0932	180	0.5244	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1005	194	-	0.0656	0.2151	0.3251	0.1204	0.3550	0.0447	0.2965	0.4250	3.5071	0.0769	0.3620	0.5712	1.1223	0.0295	0.6942	0.5525	0.8942
0.1036	200	0.376	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1139	220	0.2782	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1243	240	0.2391	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1346	260	0.2767	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1450	280	0.2359	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1507	291	-	0.0297	0.1013	0.0817	0.0977	0.2509	0.0118	0.1532	0.1322	3.4645	0.0179	0.3064	0.4611	0.8775	0.0211	0.7178	0.5787	0.9146
0.1554	300	0.1505	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1657	320	0.1473	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1761	340	0.1614	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1864	360	0.1834	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1968	380	0.164	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2009	388	-	0.0324	0.1017	0.2048	0.0948	0.2299	0.0027	0.2084	0.1269	2.9899	0.0094	0.2342	0.4460	0.7612	0.0227	0.7305	0.6058	0.9147
0.2071	400	0.1426	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2175	420	0.1838	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2279	440	0.1324	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2382	460	0.1242	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2486	480	0.2166	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2512	485	-	0.0202	0.1538	0.1833	0.0752	0.2666	0.0018	0.1391	0.1363	2.3597	0.0095	0.1672	0.5366	0.6828	0.0276	0.7579	0.6089	0.9109
0.2589	500	0.1781	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2693	520	0.2177	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2796	540	0.5771	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2900	560	2.2303	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3004	580	1.0045	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3014	582	-	0.0205	1.6607	2.8998	0.0737	0.4394	0.0143	0.1635	0.1996	3.1416	0.0203	0.9374	0.5403	0.7199	0.0261	0.7335	0.5833	0.9182
0.3107	600	0.5632	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3211	620	0.2533	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3314	640	0.2559	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3418	660	0.2664	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3516	679	-	0.0112	0.1588	0.1297	0.0776	0.1907	0.0086	0.1375	0.1111	2.5545	0.0046	0.2505	0.6150	0.7930	0.0243	0.7236	0.5716	0.9077
0.3521	680	0.2108	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3625	700	0.2936	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3729	720	1.13	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3832	740	0.2598	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3936	760	0.1599	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Framework Versions

• Python: 3.10.12
• Sentence Transformers: 3.0.1
• Transformers: 4.42.4
• PyTorch: 2.4.0+cu121
• Accelerate: 0.32.1
• Datasets: 2.21.0
• Tokenizers: 0.19.1

Citation

BibTeX

Sentence Transformers

@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",
}