qwen11k / README.md
AlexWortega's picture
Add new SentenceTransformer model
d0e210d verified
metadata
tags:
  - sentence-transformers
  - sentence-similarity
  - feature-extraction
  - generated_from_trainer
  - dataset_size:1077240
  - loss:MultipleNegativesRankingLoss
base_model: Qwen/Qwen2.5-0.5B-Instruct
widget:
  - source_sentence: Who is the father of philosophy?
    sentences:
      - >-
        Charles Sanders Peirce

        Charles Sanders Peirce (/pɜːrs/[9] "purse"; 10September 1839  19April
        1914) was an American philosopher, logician, mathematician, and
        scientist who is sometimes known as "the father of pragmatism". He was
        educated as a chemist and employed as a scientist for 30 years. Today he
        is appreciated largely for his contributions to logic, mathematics,
        philosophy, scientific methodology, and semiotics, and for his founding
        of pragmatism.
      - >-
        Georg Wilhelm Friedrich Hegel

        According to Hegel, "Heraclitus is the one who first declared the nature
        of the infinite and first grasped nature as in itself infinite, that is,
        its essence as process. The origin of philosophy is to be dated from
        Heraclitus. His is the persistent Idea that is the same in all
        philosophers up to the present day, as it was the Idea of Plato and
        Aristotle". For Hegel, Heraclitus's great achievements were to have
        understood the nature of the infinite, which for Hegel includes
        understanding the inherent contradictoriness and negativity of reality;
        and to have grasped that reality is becoming or process and that "being"
        and "nothingness" are mere empty abstractions. According to Hegel,
        Heraclitus's "obscurity" comes from his being a true (in Hegel's terms
        "speculative") philosopher who grasped the ultimate philosophical truth
        and therefore expressed himself in a way that goes beyond the abstract
        and limited nature of common sense and is difficult to grasp by those
        who operate within common sense. Hegel asserted that in Heraclitus he
        had an antecedent for his logic: "[...] there is no proposition of
        Heraclitus which I have not adopted in my logic".
      - >-
        History of nuclear weapons

        The notion of using a fission weapon to ignite a process of nuclear
        fusion can be dated back to 1942. At the first major theoretical
        conference on the development of an atomic bomb hosted by J. Robert
        Oppenheimer at the University of California, Berkeley, participant
        Edward Teller directed the majority of the discussion towards Enrico
        Fermi's idea of a "Super" bomb that would use the same reactions that
        powered the Sun itself.
  - source_sentence: When was Father's Day first celebrated in America?
    sentences:
      - >-
        Father's Day (United States)

        Father's Day was founded in Spokane, Washington at the YMCA in 1910 by
        Sonora Smart Dodd, who was born in Arkansas.[4] Its first celebration
        was in the Spokane YMCA on June 19, 1910.[4][5] Her father, the Civil
        War veteran William Jackson Smart, was a single parent who raised his
        six children there.[4] After hearing a sermon about Jarvis' Mother's Day
        at Central Methodist Episcopal Church in 1909, she told her pastor that
        fathers should have a similar holiday honoring them.[4][6] Although she
        initially suggested June 5, her father's birthday, the pastors did not
        have enough time to prepare their sermons, and the celebration was
        deferred to the third Sunday of June.[7][8]
      - >-
        Father's Day

        In [[Peru]], Father's Day is celebrated on the third Sunday of June and
        is not a public holiday. People usually give a present to their fathers
        and spend time with him mostly during a family meal.
      - >-
        Sacramento River

        The Sacramento and its wide natural floodplain were once abundant in
        fish and other aquatic creatures, notably one of the southernmost large
        runs of chinook salmon in North America. For about 12,000 years, humans
        have depended on the vast natural resources of the watershed, which had
        one of the densest Native American populations in California. The river
        has provided a route for trade and travel since ancient times. Hundreds
        of tribes sharing regional customs and traditions inhabited the
        Sacramento Valley, first coming into contact with European explorers in
        the late 1700s. The Spanish explorer Gabriel Moraga named the river Rio
        de los Sacramentos in 1808, later shortened and anglicized into
        Sacramento.
  - source_sentence: What is the population of Austria in 2018?
    sentences:
      - >-
        Utah State Capitol

        The Utah State Capitol is the house of government for the U.S. state of
        Utah. The building houses the chambers and offices of the Utah State
        Legislature, the offices of the Governor, Lieutenant Governor, Attorney
        General, the State Auditor and their staffs. The capitol is the main
        building of the Utah State Capitol Complex, which is located on Capitol
        Hill, overlooking downtown Salt Lake City.
      - >-
        Same-sex marriage in Austria

        A September 2018 poll for "Österreich" found that 74% of Austrians
        supported same-sex marriage and 26% were against.
      - >-
        Demographics of Austria

        Population 8,793,370 (July 2018 est.) country comparison to the world:
        96th
  - source_sentence: What language family is Malay?
    sentences:
      - >-
        Malay language

        Malay is a member of the Austronesian family of languages, which
        includes languages from Southeast Asia and the Pacific Ocean, with a
        smaller number in continental Asia. Malagasy, a geographic outlier
        spoken in Madagascar in the Indian Ocean, is also a member of this
        language family. Although each language of the family is mutually
        unintelligible, their similarities are rather striking. Many roots have
        come virtually unchanged from their common ancestor, Proto-Austronesian
        language. There are many cognates found in the languages' words for
        kinship, health, body parts and common animals. Numbers, especially,
        show remarkable similarities.
      - >-
        Filipinos of Malay descent

        In the Philippines, there is misconception and often mixing between the
        two definitions. Filipinos consider Malays as being the natives of the
        Philippines, Indonesia, Malaysia and Brunei. Consequently, Filipinos
        consider themselves Malay when in reality, they are referring to the
        Malay Race. Filipinos in Singapore also prefer to be considered Malay,
        but their desire to be labeled as part of the ethnic group was rejected
        by the Singaporean government. Paradoxically, a minor percentage of
        Filipinos prefer the Spanish influence and may associate themselves with
        being Hispanic, and have made no realistic attempts to promote and/or
        revive the Malay language in the Philippines.
      - >-
        Preferred provider organization

        In health insurance in the United States, a preferred provider
        organization (PPO), sometimes referred to as a participating provider
        organization or preferred provider option, is a managed care
        organization of medical doctors, hospitals, and other health care
        providers who have agreed with an insurer or a third-party administrator
        to provide health care at reduced rates to the insurer's or
        administrator's clients.
  - source_sentence: When was ABC formed?
    sentences:
      - >-
        American Broadcasting Company

        ABC launched as a radio network on October 12, 1943, serving as the
        successor to the NBC Blue Network, which had been purchased by Edward J.
        Noble. It extended its operations to television in 1948, following in
        the footsteps of established broadcast networks CBS and NBC. In the
        mid-1950s, ABC merged with United Paramount Theatres, a chain of movie
        theaters that formerly operated as a subsidiary of Paramount Pictures.
        Leonard Goldenson, who had been the head of UPT, made the new television
        network profitable by helping develop and greenlight many successful
        series. In the 1980s, after purchasing an 80% interest in cable sports
        channel ESPN, the network's corporate parent, American Broadcasting
        Companies, Inc., merged with Capital Cities Communications, owner of
        several print publications, and television and radio stations. In 1996,
        most of Capital Cities/ABC's assets were purchased by The Walt Disney
        Company.
      - >-
        Roman concrete

        Roman concrete, also called opus caementicium, was a material used in
        construction during the late Roman Republic until the fading of the
        Roman Empire. Roman concrete was based on a hydraulic-setting cement.
        Recently, it has been found that it materially differs in several ways
        from modern concrete which is based on Portland cement. Roman concrete
        is durable due to its incorporation of volcanic ash, which prevents
        cracks from spreading. By the middle of the 1st century, the material
        was used frequently, often brick-faced, although variations in aggregate
        allowed different arrangements of materials. Further innovative
        developments in the material, called the Concrete Revolution,
        contributed to structurally complicated forms, such as the Pantheon
        dome, the world's largest and oldest unreinforced concrete dome.[1]
      - >-
        Americans Battling Communism

        Americans Battling Communism, Inc. (ABC) was an anti-communist
        organization created following an October 1947 speech by Pennsylvania
        Judge Blair Gunther that called for an "ABC movement" to educate America
        about communism. Chartered in November 1947 by Harry Alan Sherman, a
        local lawyer active in various anti-communist organizations, the group
        took part in such activities as blacklisting by disclosing the names of
        people suspected of being communists. Its members included local judges
        and lawyers active in the McCarthy-era prosecution of communists.
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics:
  - pearson_cosine
  - spearman_cosine
model-index:
  - name: SentenceTransformer based on Qwen/Qwen2.5-0.5B-Instruct
    results:
      - task:
          type: semantic-similarity
          name: Semantic Similarity
        dataset:
          name: sts dev 896
          type: sts-dev-896
        metrics:
          - type: pearson_cosine
            value: 0.738292615302764
            name: Pearson Cosine
          - type: spearman_cosine
            value: 0.7854072618610399
            name: Spearman Cosine
      - task:
          type: semantic-similarity
          name: Semantic Similarity
        dataset:
          name: sts dev 768
          type: sts-dev-768
        metrics:
          - type: pearson_cosine
            value: 0.7331567600641935
            name: Pearson Cosine
          - type: spearman_cosine
            value: 0.7827897125403183
            name: Spearman Cosine

SentenceTransformer based on Qwen/Qwen2.5-0.5B-Instruct

This is a sentence-transformers model finetuned from Qwen/Qwen2.5-0.5B-Instruct. It maps sentences & paragraphs to a 896-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

Model Details

Model Description

  • Model Type: Sentence Transformer
  • Base model: Qwen/Qwen2.5-0.5B-Instruct
  • Maximum Sequence Length: 1024 tokens
  • Output Dimensionality: 896 dimensions
  • Similarity Function: Cosine Similarity

Model Sources

Full Model Architecture

SentenceTransformer(
  (0): Transformer({'max_seq_length': 1024, 'do_lower_case': False}) with Transformer model: Qwen2Model 
  (1): Pooling({'word_embedding_dimension': 896, '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("AlexWortega/qwen11k")
# Run inference
sentences = [
    'When was ABC formed?',
    "American Broadcasting Company\nABC launched as a radio network on October 12, 1943, serving as the successor to the NBC Blue Network, which had been purchased by Edward J. Noble. It extended its operations to television in 1948, following in the footsteps of established broadcast networks CBS and NBC. In the mid-1950s, ABC merged with United Paramount Theatres, a chain of movie theaters that formerly operated as a subsidiary of Paramount Pictures. Leonard Goldenson, who had been the head of UPT, made the new television network profitable by helping develop and greenlight many successful series. In the 1980s, after purchasing an 80% interest in cable sports channel ESPN, the network's corporate parent, American Broadcasting Companies, Inc., merged with Capital Cities Communications, owner of several print publications, and television and radio stations. In 1996, most of Capital Cities/ABC's assets were purchased by The Walt Disney Company.",
    'Americans Battling Communism\nAmericans Battling Communism, Inc. (ABC) was an anti-communist organization created following an October 1947 speech by Pennsylvania Judge Blair Gunther that called for an "ABC movement" to educate America about communism. Chartered in November 1947 by Harry Alan Sherman, a local lawyer active in various anti-communist organizations, the group took part in such activities as blacklisting by disclosing the names of people suspected of being communists. Its members included local judges and lawyers active in the McCarthy-era prosecution of communists.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 896]

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

Evaluation

Metrics

Semantic Similarity

Metric sts-dev-896 sts-dev-768
pearson_cosine 0.7383 0.7332
spearman_cosine 0.7854 0.7828

Training Details

Training Dataset

Unnamed Dataset

  • Size: 1,077,240 training samples
  • Columns: query, response, and negative
  • Approximate statistics based on the first 1000 samples:
    query response negative
    type string string string
    details
    • min: 4 tokens
    • mean: 8.76 tokens
    • max: 26 tokens
    • min: 23 tokens
    • mean: 141.88 tokens
    • max: 532 tokens
    • min: 4 tokens
    • mean: 134.02 tokens
    • max: 472 tokens
  • Samples:
    query response negative
    Was there a year 0? Year zero
    Year zero does not exist in the anno Domini system usually used to number years in the Gregorian calendar and in its predecessor, the Julian calendar. In this system, the year 1 BC is followed by AD 1. However, there is a year zero in astronomical year numbering (where it coincides with the Julian year 1 BC) and in ISO 8601:2004 (where it coincides with the Gregorian year 1 BC) as well as in all Buddhist and Hindu calendars.
    504
    Year 504 (DIV) was a leap year starting on Thursday (link will display the full calendar) of the Julian calendar. At the time, it was known as the Year of the Consulship of Nicomachus without colleague (or, less frequently, year 1257 "Ab urbe condita"). The denomination 504 for this year has been used since the early medieval period, when the Anno Domini calendar era became the prevalent method in Europe for naming years.
    When is the dialectical method used? Dialectic
    Dialectic or dialectics (Greek: διαλεκτική, dialektikḗ; related to dialogue), also known as the dialectical method, is at base a discourse between two or more people holding different points of view about a subject but wishing to establish the truth through reasoned arguments. Dialectic resembles debate, but the concept excludes subjective elements such as emotional appeal and the modern pejorative sense of rhetoric.[1][2] Dialectic may be contrasted with the didactic method, wherein one side of the conversation teaches the other. Dialectic is alternatively known as minor logic, as opposed to major logic or critique.
    Derek Bentley case
    Another factor in the posthumous defence was that a "confession" recorded by Bentley, which was claimed by the prosecution to be a "verbatim record of dictated monologue", was shown by forensic linguistics methods to have been largely edited by policemen. Linguist Malcolm Coulthard showed that certain patterns, such as the frequency of the word "then" and the grammatical use of "then" after the grammatical subject ("I then" rather than "then I"), were not consistent with Bentley's use of language (his idiolect), as evidenced in court testimony. These patterns fit better the recorded testimony of the policemen involved. This is one of the earliest uses of forensic linguistics on record.
    What do Grasshoppers eat? Grasshopper
    Grasshoppers are plant-eaters, with a few species at times becoming serious pests of cereals, vegetables and pasture, especially when they swarm in their millions as locusts and destroy crops over wide areas. They protect themselves from predators by camouflage; when detected, many species attempt to startle the predator with a brilliantly-coloured wing-flash while jumping and (if adult) launching themselves into the air, usually flying for only a short distance. Other species such as the rainbow grasshopper have warning coloration which deters predators. Grasshoppers are affected by parasites and various diseases, and many predatory creatures feed on both nymphs and adults. The eggs are the subject of attack by parasitoids and predators.
    Groundhog
    Very often the dens of groundhogs provide homes for other animals including skunks, red foxes, and cottontail rabbits. The fox and skunk feed upon field mice, grasshoppers, beetles and other creatures that destroy farm crops. In aiding these animals, the groundhog indirectly helps the farmer. In addition to providing homes for itself and other animals, the groundhog aids in soil improvement by bringing subsoil to the surface. The groundhog is also a valuable game animal and is considered a difficult sport when hunted in a fair manner. In some parts of Appalachia, they are eaten.
  • Loss: MultipleNegativesRankingLoss with these parameters:
    {
        "scale": 20.0,
        "similarity_fct": "cos_sim"
    }
    

Training Hyperparameters

Non-Default Hyperparameters

  • eval_strategy: steps
  • per_device_train_batch_size: 12
  • per_device_eval_batch_size: 12
  • gradient_accumulation_steps: 4
  • num_train_epochs: 1
  • warmup_ratio: 0.3
  • bf16: True
  • 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: 12
  • per_device_eval_batch_size: 12
  • per_gpu_train_batch_size: None
  • per_gpu_eval_batch_size: None
  • gradient_accumulation_steps: 4
  • 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: 1.0
  • num_train_epochs: 1
  • max_steps: -1
  • lr_scheduler_type: linear
  • lr_scheduler_kwargs: {}
  • warmup_ratio: 0.3
  • warmup_steps: 0
  • log_level: passive
  • log_level_replica: warning
  • log_on_each_node: True
  • logging_nan_inf_filter: True
  • save_safetensors: True
  • save_on_each_node: False
  • save_only_model: False
  • restore_callback_states_from_checkpoint: False
  • no_cuda: False
  • use_cpu: False
  • use_mps_device: False
  • seed: 42
  • data_seed: None
  • jit_mode_eval: False
  • use_ipex: False
  • bf16: True
  • fp16: False
  • fp16_opt_level: O1
  • half_precision_backend: auto
  • bf16_full_eval: False
  • fp16_full_eval: False
  • tf32: None
  • local_rank: 0
  • ddp_backend: None
  • tpu_num_cores: None
  • tpu_metrics_debug: False
  • debug: []
  • dataloader_drop_last: False
  • dataloader_num_workers: 0
  • dataloader_prefetch_factor: None
  • past_index: -1
  • disable_tqdm: False
  • remove_unused_columns: True
  • label_names: None
  • load_best_model_at_end: False
  • ignore_data_skip: False
  • fsdp: []
  • fsdp_min_num_params: 0
  • fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
  • fsdp_transformer_layer_cls_to_wrap: None
  • accelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
  • deepspeed: None
  • label_smoothing_factor: 0.0
  • optim: adamw_torch
  • optim_args: None
  • adafactor: False
  • group_by_length: False
  • length_column_name: length
  • ddp_find_unused_parameters: None
  • ddp_bucket_cap_mb: None
  • ddp_broadcast_buffers: False
  • dataloader_pin_memory: True
  • dataloader_persistent_workers: False
  • skip_memory_metrics: True
  • use_legacy_prediction_loop: False
  • push_to_hub: False
  • resume_from_checkpoint: None
  • hub_model_id: None
  • hub_strategy: every_save
  • hub_private_repo: False
  • hub_always_push: False
  • gradient_checkpointing: False
  • gradient_checkpointing_kwargs: None
  • include_inputs_for_metrics: False
  • 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
  • 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
  • use_liger_kernel: False
  • eval_use_gather_object: False
  • average_tokens_across_devices: False
  • prompts: None
  • batch_sampler: no_duplicates
  • multi_dataset_batch_sampler: proportional

Training Logs

Click to expand
Epoch Step Training Loss sts-dev-896_spearman_cosine sts-dev-768_spearman_cosine
0.0004 10 2.2049 - -
0.0009 20 2.3168 - -
0.0013 30 2.3544 - -
0.0018 40 2.2519 - -
0.0022 50 2.1809 - -
0.0027 60 2.1572 - -
0.0031 70 2.1855 - -
0.0036 80 2.5887 - -
0.0040 90 2.883 - -
0.0045 100 2.8557 - -
0.0049 110 2.9356 - -
0.0053 120 2.8833 - -
0.0058 130 2.8394 - -
0.0062 140 2.923 - -
0.0067 150 2.8191 - -
0.0071 160 2.8658 - -
0.0076 170 2.8252 - -
0.0080 180 2.8312 - -
0.0085 190 2.7761 - -
0.0089 200 2.7193 - -
0.0094 210 2.724 - -
0.0098 220 2.7484 - -
0.0102 230 2.7262 - -
0.0107 240 2.6964 - -
0.0111 250 2.6676 - -
0.0116 260 2.6715 - -
0.0120 270 2.6145 - -
0.0125 280 2.6191 - -
0.0129 290 1.9812 - -
0.0134 300 1.6413 - -
0.0138 310 1.6126 - -
0.0143 320 1.3599 - -
0.0147 330 1.2996 - -
0.0151 340 1.2654 - -
0.0156 350 1.9409 - -
0.0160 360 2.1287 - -
0.0165 370 1.8442 - -
0.0169 380 1.6837 - -
0.0174 390 1.5489 - -
0.0178 400 1.4382 - -
0.0183 410 1.4848 - -
0.0187 420 1.3481 - -
0.0192 430 1.3467 - -
0.0196 440 1.3977 - -
0.0201 450 1.26 - -
0.0205 460 1.2412 - -
0.0209 470 1.316 - -
0.0214 480 1.3501 - -
0.0218 490 1.2246 - -
0.0223 500 1.2271 - -
0.0227 510 1.1871 - -
0.0232 520 1.1685 - -
0.0236 530 1.1624 - -
0.0241 540 1.1911 - -
0.0245 550 1.1978 - -
0.0250 560 1.1228 - -
0.0254 570 1.1091 - -
0.0258 580 1.1433 - -
0.0263 590 1.0638 - -
0.0267 600 1.0515 - -
0.0272 610 1.175 - -
0.0276 620 1.0943 - -
0.0281 630 1.1226 - -
0.0285 640 0.9871 - -
0.0290 650 1.0171 - -
0.0294 660 1.0169 - -
0.0299 670 0.9643 - -
0.0303 680 0.9563 - -
0.0307 690 0.9841 - -
0.0312 700 1.0349 - -
0.0316 710 0.8958 - -
0.0321 720 0.9225 - -
0.0325 730 0.842 - -
0.0330 740 0.9104 - -
0.0334 750 0.8927 - -
0.0339 760 0.8508 - -
0.0343 770 0.8835 - -
0.0348 780 0.9531 - -
0.0352 790 0.926 - -
0.0356 800 0.8718 - -
0.0361 810 0.8261 - -
0.0365 820 0.8169 - -
0.0370 830 0.8525 - -
0.0374 840 0.8504 - -
0.0379 850 0.7625 - -
0.0383 860 0.8259 - -
0.0388 870 0.7558 - -
0.0392 880 0.7898 - -
0.0397 890 0.7694 - -
0.0401 900 0.7429 - -
0.0405 910 0.6666 - -
0.0410 920 0.7407 - -
0.0414 930 0.6665 - -
0.0419 940 0.7597 - -
0.0423 950 0.7035 - -
0.0428 960 0.7166 - -
0.0432 970 0.6889 - -
0.0437 980 0.7541 - -
0.0441 990 0.7175 - -
0.0446 1000 0.7389 0.6420 0.6403
0.0450 1010 0.7142 - -
0.0454 1020 0.7301 - -
0.0459 1030 0.7299 - -
0.0463 1040 0.6759 - -
0.0468 1050 0.7036 - -
0.0472 1060 0.6286 - -
0.0477 1070 0.595 - -
0.0481 1080 0.6099 - -
0.0486 1090 0.6377 - -
0.0490 1100 0.6309 - -
0.0495 1110 0.6306 - -
0.0499 1120 0.557 - -
0.0504 1130 0.5898 - -
0.0508 1140 0.5896 - -
0.0512 1150 0.6399 - -
0.0517 1160 0.5923 - -
0.0521 1170 0.5787 - -
0.0526 1180 0.591 - -
0.0530 1190 0.5714 - -
0.0535 1200 0.6047 - -
0.0539 1210 0.5904 - -
0.0544 1220 0.543 - -
0.0548 1230 0.6033 - -
0.0553 1240 0.5445 - -
0.0557 1250 0.5217 - -
0.0561 1260 0.5835 - -
0.0566 1270 0.5353 - -
0.0570 1280 0.5887 - -
0.0575 1290 0.5967 - -
0.0579 1300 0.5036 - -
0.0584 1310 0.5915 - -
0.0588 1320 0.5719 - -
0.0593 1330 0.5238 - -
0.0597 1340 0.5647 - -
0.0602 1350 0.538 - -
0.0606 1360 0.5457 - -
0.0610 1370 0.5169 - -
0.0615 1380 0.4967 - -
0.0619 1390 0.4864 - -
0.0624 1400 0.5133 - -
0.0628 1410 0.5587 - -
0.0633 1420 0.4691 - -
0.0637 1430 0.5186 - -
0.0642 1440 0.4907 - -
0.0646 1450 0.5281 - -
0.0651 1460 0.4741 - -
0.0655 1470 0.4452 - -
0.0659 1480 0.4771 - -
0.0664 1490 0.4289 - -
0.0668 1500 0.4551 - -
0.0673 1510 0.4558 - -
0.0677 1520 0.5159 - -
0.0682 1530 0.4296 - -
0.0686 1540 0.4548 - -
0.0691 1550 0.4439 - -
0.0695 1560 0.4295 - -
0.0700 1570 0.4466 - -
0.0704 1580 0.4717 - -
0.0708 1590 0.492 - -
0.0713 1600 0.4566 - -
0.0717 1610 0.4451 - -
0.0722 1620 0.4715 - -
0.0726 1630 0.4573 - -
0.0731 1640 0.3972 - -
0.0735 1650 0.5212 - -
0.0740 1660 0.4381 - -
0.0744 1670 0.4552 - -
0.0749 1680 0.4767 - -
0.0753 1690 0.4398 - -
0.0757 1700 0.4801 - -
0.0762 1710 0.3751 - -
0.0766 1720 0.4407 - -
0.0771 1730 0.4305 - -
0.0775 1740 0.3938 - -
0.0780 1750 0.4748 - -
0.0784 1760 0.428 - -
0.0789 1770 0.404 - -
0.0793 1780 0.4261 - -
0.0798 1790 0.359 - -
0.0802 1800 0.4422 - -
0.0807 1810 0.4748 - -
0.0811 1820 0.4352 - -
0.0815 1830 0.4032 - -
0.0820 1840 0.4124 - -
0.0824 1850 0.4486 - -
0.0829 1860 0.429 - -
0.0833 1870 0.4189 - -
0.0838 1880 0.3658 - -
0.0842 1890 0.4297 - -
0.0847 1900 0.4215 - -
0.0851 1910 0.3726 - -
0.0856 1920 0.3736 - -
0.0860 1930 0.4287 - -
0.0864 1940 0.4402 - -
0.0869 1950 0.4353 - -
0.0873 1960 0.3622 - -
0.0878 1970 0.3557 - -
0.0882 1980 0.4107 - -
0.0887 1990 0.3982 - -
0.0891 2000 0.453 0.7292 0.7261
0.0896 2010 0.3971 - -
0.0900 2020 0.4374 - -
0.0905 2030 0.4322 - -
0.0909 2040 0.3945 - -
0.0913 2050 0.356 - -
0.0918 2060 0.4182 - -
0.0922 2070 0.3694 - -
0.0927 2080 0.3989 - -
0.0931 2090 0.4237 - -
0.0936 2100 0.3961 - -
0.0940 2110 0.4264 - -
0.0945 2120 0.3609 - -
0.0949 2130 0.4154 - -
0.0954 2140 0.3661 - -
0.0958 2150 0.3328 - -
0.0962 2160 0.3456 - -
0.0967 2170 0.3478 - -
0.0971 2180 0.3339 - -
0.0976 2190 0.3833 - -
0.0980 2200 0.3238 - -
0.0985 2210 0.3871 - -
0.0989 2220 0.4009 - -
0.0994 2230 0.4115 - -
0.0998 2240 0.4024 - -
0.1003 2250 0.35 - -
0.1007 2260 0.3649 - -
0.1011 2270 0.3615 - -
0.1016 2280 0.3898 - -
0.1020 2290 0.3866 - -
0.1025 2300 0.3904 - -
0.1029 2310 0.3321 - -
0.1034 2320 0.3803 - -
0.1038 2330 0.3831 - -
0.1043 2340 0.403 - -
0.1047 2350 0.3803 - -
0.1052 2360 0.3463 - -
0.1056 2370 0.3987 - -
0.1060 2380 0.3731 - -
0.1065 2390 0.353 - -
0.1069 2400 0.3166 - -
0.1074 2410 0.3895 - -
0.1078 2420 0.4025 - -
0.1083 2430 0.3798 - -
0.1087 2440 0.2991 - -
0.1092 2450 0.3094 - -
0.1096 2460 0.3669 - -
0.1101 2470 0.3412 - -
0.1105 2480 0.3697 - -
0.1110 2490 0.369 - -
0.1114 2500 0.3393 - -
0.1118 2510 0.4232 - -
0.1123 2520 0.3445 - -
0.1127 2530 0.4165 - -
0.1132 2540 0.3721 - -
0.1136 2550 0.3476 - -
0.1141 2560 0.2847 - -
0.1145 2570 0.3609 - -
0.1150 2580 0.3017 - -
0.1154 2590 0.374 - -
0.1159 2600 0.3365 - -
0.1163 2610 0.393 - -
0.1167 2620 0.3623 - -
0.1172 2630 0.3538 - -
0.1176 2640 0.3206 - -
0.1181 2650 0.3962 - -
0.1185 2660 0.3087 - -
0.1190 2670 0.3482 - -
0.1194 2680 0.3616 - -
0.1199 2690 0.3955 - -
0.1203 2700 0.3915 - -
0.1208 2710 0.3782 - -
0.1212 2720 0.3576 - -
0.1216 2730 0.3544 - -
0.1221 2740 0.3572 - -
0.1225 2750 0.3107 - -
0.1230 2760 0.3579 - -
0.1234 2770 0.3571 - -
0.1239 2780 0.3694 - -
0.1243 2790 0.3674 - -
0.1248 2800 0.3373 - -
0.1252 2810 0.3362 - -
0.1257 2820 0.3225 - -
0.1261 2830 0.3609 - -
0.1265 2840 0.3681 - -
0.1270 2850 0.4059 - -
0.1274 2860 0.3047 - -
0.1279 2870 0.3446 - -
0.1283 2880 0.3507 - -
0.1288 2890 0.3124 - -
0.1292 2900 0.3712 - -
0.1297 2910 0.3394 - -
0.1301 2920 0.3869 - -
0.1306 2930 0.3449 - -
0.1310 2940 0.3752 - -
0.1314 2950 0.3341 - -
0.1319 2960 0.3329 - -
0.1323 2970 0.36 - -
0.1328 2980 0.3788 - -
0.1332 2990 0.3834 - -
0.1337 3000 0.3426 0.7603 0.7590
0.1341 3010 0.3591 - -
0.1346 3020 0.2923 - -
0.1350 3030 0.332 - -
0.1355 3040 0.3867 - -
0.1359 3050 0.3778 - -
0.1363 3060 0.3389 - -
0.1368 3070 0.3069 - -
0.1372 3080 0.3833 - -
0.1377 3090 0.3497 - -
0.1381 3100 0.3698 - -
0.1386 3110 0.335 - -
0.1390 3120 0.3578 - -
0.1395 3130 0.3171 - -
0.1399 3140 0.3073 - -
0.1404 3150 0.3354 - -
0.1408 3160 0.3338 - -
0.1412 3170 0.367 - -
0.1417 3180 0.3299 - -
0.1421 3190 0.3622 - -
0.1426 3200 0.3158 - -
0.1430 3210 0.3242 - -
0.1435 3220 0.388 - -
0.1439 3230 0.3626 - -
0.1444 3240 0.3371 - -
0.1448 3250 0.3808 - -
0.1453 3260 0.3375 - -
0.1457 3270 0.352 - -
0.1462 3280 0.3466 - -
0.1466 3290 0.3355 - -
0.1470 3300 0.3432 - -
0.1475 3310 0.372 - -
0.1479 3320 0.3501 - -
0.1484 3330 0.3311 - -
0.1488 3340 0.3312 - -
0.1493 3350 0.3276 - -
0.1497 3360 0.3218 - -
0.1502 3370 0.4019 - -
0.1506 3380 0.3132 - -
0.1511 3390 0.3741 - -
0.1515 3400 0.3359 - -
0.1519 3410 0.381 - -
0.1524 3420 0.3024 - -
0.1528 3430 0.3238 - -
0.1533 3440 0.2675 - -
0.1537 3450 0.3568 - -
0.1542 3460 0.3666 - -
0.1546 3470 0.3307 - -
0.1551 3480 0.3698 - -
0.1555 3490 0.3668 - -
0.1560 3500 0.385 - -
0.1564 3510 0.3068 - -
0.1568 3520 0.3015 - -
0.1573 3530 0.3604 - -
0.1577 3540 0.3592 - -
0.1582 3550 0.3483 - -
0.1586 3560 0.3131 - -
0.1591 3570 0.3738 - -
0.1595 3580 0.3719 - -
0.1600 3590 0.3409 - -
0.1604 3600 0.4082 - -
0.1609 3610 0.2881 - -
0.1613 3620 0.3214 - -
0.1617 3630 0.4413 - -
0.1622 3640 0.3706 - -
0.1626 3650 0.3643 - -
0.1631 3660 0.3493 - -
0.1635 3670 0.3877 - -
0.1640 3680 0.3278 - -
0.1644 3690 0.3211 - -
0.1649 3700 0.4104 - -
0.1653 3710 0.4558 - -
0.1658 3720 0.3602 - -
0.1662 3730 0.3348 - -
0.1666 3740 0.2922 - -
0.1671 3750 0.329 - -
0.1675 3760 0.3507 - -
0.1680 3770 0.2853 - -
0.1684 3780 0.3556 - -
0.1689 3790 0.3138 - -
0.1693 3800 0.3536 - -
0.1698 3810 0.3762 - -
0.1702 3820 0.3262 - -
0.1707 3830 0.3571 - -
0.1711 3840 0.3455 - -
0.1715 3850 0.3283 - -
0.1720 3860 0.3317 - -
0.1724 3870 0.2984 - -
0.1729 3880 0.2659 - -
0.1733 3890 0.2844 - -
0.1738 3900 0.2999 - -
0.1742 3910 0.2991 - -
0.1747 3920 0.2667 - -
0.1751 3930 0.3529 - -
0.1756 3940 0.3767 - -
0.1760 3950 0.3909 - -
0.1765 3960 0.3393 - -
0.1769 3970 0.2918 - -
0.1773 3980 0.3363 - -
0.1778 3990 0.3694 - -
0.1782 4000 0.3 0.7572 0.7542
0.1787 4010 0.3266 - -
0.1791 4020 0.3059 - -
0.1796 4030 0.3038 - -
0.1800 4040 0.3415 - -
0.1805 4050 0.3385 - -
0.1809 4060 0.3145 - -
0.1814 4070 0.2816 - -
0.1818 4080 0.3272 - -
0.1822 4090 0.3335 - -
0.1827 4100 0.3412 - -
0.1831 4110 0.3367 - -
0.1836 4120 0.2754 - -
0.1840 4130 0.298 - -
0.1845 4140 0.3252 - -
0.1849 4150 0.3613 - -
0.1854 4160 0.3197 - -
0.1858 4170 0.3578 - -
0.1863 4180 0.3254 - -
0.1867 4190 0.2993 - -
0.1871 4200 0.3188 - -
0.1876 4210 0.3217 - -
0.1880 4220 0.2893 - -
0.1885 4230 0.3223 - -
0.1889 4240 0.3522 - -
0.1894 4250 0.3489 - -
0.1898 4260 0.3313 - -
0.1903 4270 0.3612 - -
0.1907 4280 0.3323 - -
0.1912 4290 0.2971 - -
0.1916 4300 0.3009 - -
0.1920 4310 0.3336 - -
0.1925 4320 0.3655 - -
0.1929 4330 0.3414 - -
0.1934 4340 0.2903 - -
0.1938 4350 0.3732 - -
0.1943 4360 0.3526 - -
0.1947 4370 0.3424 - -
0.1952 4380 0.3371 - -
0.1956 4390 0.3407 - -
0.1961 4400 0.3626 - -
0.1965 4410 0.3104 - -
0.1969 4420 0.3432 - -
0.1974 4430 0.2897 - -
0.1978 4440 0.2952 - -
0.1983 4450 0.3032 - -
0.1987 4460 0.3179 - -
0.1992 4470 0.3364 - -
0.1996 4480 0.2757 - -
0.2001 4490 0.3775 - -
0.2005 4500 0.2782 - -
0.2010 4510 0.2787 - -
0.2014 4520 0.3433 - -
0.2018 4530 0.3348 - -
0.2023 4540 0.295 - -
0.2027 4550 0.3076 - -
0.2032 4560 0.3489 - -
0.2036 4570 0.3741 - -
0.2041 4580 0.3121 - -
0.2045 4590 0.2682 - -
0.2050 4600 0.3106 - -
0.2054 4610 0.312 - -
0.2059 4620 0.3537 - -
0.2063 4630 0.2801 - -
0.2068 4640 0.3378 - -
0.2072 4650 0.3417 - -
0.2076 4660 0.4114 - -
0.2081 4670 0.3325 - -
0.2085 4680 0.3085 - -
0.2090 4690 0.2875 - -
0.2094 4700 0.3864 - -
0.2099 4710 0.3235 - -
0.2103 4720 0.3187 - -
0.2108 4730 0.2956 - -
0.2112 4740 0.3405 - -
0.2117 4750 0.313 - -
0.2121 4760 0.2865 - -
0.2125 4770 0.3555 - -
0.2130 4780 0.3089 - -
0.2134 4790 0.3021 - -
0.2139 4800 0.353 - -
0.2143 4810 0.3356 - -
0.2148 4820 0.338 - -
0.2152 4830 0.3362 - -
0.2157 4840 0.3152 - -
0.2161 4850 0.3321 - -
0.2166 4860 0.3087 - -
0.2170 4870 0.3503 - -
0.2174 4880 0.3841 - -
0.2179 4890 0.333 - -
0.2183 4900 0.3705 - -
0.2188 4910 0.3121 - -
0.2192 4920 0.3151 - -
0.2197 4930 0.3138 - -
0.2201 4940 0.3525 - -
0.2206 4950 0.3233 - -
0.2210 4960 0.2762 - -
0.2215 4970 0.3679 - -
0.2219 4980 0.3351 - -
0.2223 4990 0.3733 - -
0.2228 5000 0.366 0.7601 0.7577
0.2232 5010 0.2968 - -
0.2237 5020 0.3618 - -
0.2241 5030 0.3758 - -
0.2246 5040 0.2664 - -
0.2250 5050 0.3232 - -
0.2255 5060 0.3452 - -
0.2259 5070 0.4011 - -
0.2264 5080 0.3521 - -
0.2268 5090 0.3029 - -
0.2272 5100 0.3058 - -
0.2277 5110 0.3198 - -
0.2281 5120 0.2958 - -
0.2286 5130 0.3046 - -
0.2290 5140 0.3284 - -
0.2295 5150 0.333 - -
0.2299 5160 0.3385 - -
0.2304 5170 0.3359 - -
0.2308 5180 0.3572 - -
0.2313 5190 0.2992 - -
0.2317 5200 0.318 - -
0.2321 5210 0.3002 - -
0.2326 5220 0.3194 - -
0.2330 5230 0.3398 - -
0.2335 5240 0.2675 - -
0.2339 5250 0.312 - -
0.2344 5260 0.3199 - -
0.2348 5270 0.3446 - -
0.2353 5280 0.3082 - -
0.2357 5290 0.3522 - -
0.2362 5300 0.3347 - -
0.2366 5310 0.3571 - -
0.2371 5320 0.3275 - -
0.2375 5330 0.3524 - -
0.2379 5340 0.3151 - -
0.2384 5350 0.3338 - -
0.2388 5360 0.3794 - -
0.2393 5370 0.3591 - -
0.2397 5380 0.3442 - -
0.2402 5390 0.2927 - -
0.2406 5400 0.3316 - -
0.2411 5410 0.3152 - -
0.2415 5420 0.3876 - -
0.2420 5430 0.324 - -
0.2424 5440 0.3296 - -
0.2428 5450 0.3499 - -
0.2433 5460 0.3552 - -
0.2437 5470 0.3394 - -
0.2442 5480 0.3083 - -
0.2446 5490 0.3198 - -
0.2451 5500 0.2887 - -
0.2455 5510 0.2898 - -
0.2460 5520 0.3092 - -
0.2464 5530 0.3025 - -
0.2469 5540 0.3253 - -
0.2473 5550 0.3686 - -
0.2477 5560 0.3205 - -
0.2482 5570 0.3507 - -
0.2486 5580 0.2809 - -
0.2491 5590 0.3339 - -
0.2495 5600 0.3261 - -
0.2500 5610 0.2804 - -
0.2504 5620 0.2856 - -
0.2509 5630 0.3211 - -
0.2513 5640 0.3126 - -
0.2518 5650 0.3374 - -
0.2522 5660 0.2957 - -
0.2526 5670 0.3414 - -
0.2531 5680 0.3219 - -
0.2535 5690 0.3554 - -
0.2540 5700 0.2738 - -
0.2544 5710 0.361 - -
0.2549 5720 0.336 - -
0.2553 5730 0.3254 - -
0.2558 5740 0.3453 - -
0.2562 5750 0.2984 - -
0.2567 5760 0.3224 - -
0.2571 5770 0.2553 - -
0.2575 5780 0.301 - -
0.2580 5790 0.3767 - -
0.2584 5800 0.3092 - -
0.2589 5810 0.2676 - -
0.2593 5820 0.3178 - -
0.2598 5830 0.3117 - -
0.2602 5840 0.3446 - -
0.2607 5850 0.3347 - -
0.2611 5860 0.3841 - -
0.2616 5870 0.2847 - -
0.2620 5880 0.3587 - -
0.2624 5890 0.2812 - -
0.2629 5900 0.3577 - -
0.2633 5910 0.3011 - -
0.2638 5920 0.3102 - -
0.2642 5930 0.3297 - -
0.2647 5940 0.2603 - -
0.2651 5950 0.3575 - -
0.2656 5960 0.3617 - -
0.2660 5970 0.3587 - -
0.2665 5980 0.3198 - -
0.2669 5990 0.3536 - -
0.2673 6000 0.3047 0.7725 0.7699
0.2678 6010 0.3211 - -
0.2682 6020 0.392 - -
0.2687 6030 0.3359 - -
0.2691 6040 0.2903 - -
0.2696 6050 0.286 - -
0.2700 6060 0.3426 - -
0.2705 6070 0.3406 - -
0.2709 6080 0.2903 - -
0.2714 6090 0.3175 - -
0.2718 6100 0.2794 - -
0.2723 6110 0.3232 - -
0.2727 6120 0.3054 - -
0.2731 6130 0.361 - -
0.2736 6140 0.3524 - -
0.2740 6150 0.3371 - -
0.2745 6160 0.313 - -
0.2749 6170 0.2713 - -
0.2754 6180 0.3141 - -
0.2758 6190 0.3197 - -
0.2763 6200 0.2792 - -
0.2767 6210 0.3169 - -
0.2772 6220 0.307 - -
0.2776 6230 0.2737 - -
0.2780 6240 0.3348 - -
0.2785 6250 0.2885 - -
0.2789 6260 0.3416 - -
0.2794 6270 0.3422 - -
0.2798 6280 0.2758 - -
0.2803 6290 0.3736 - -
0.2807 6300 0.3036 - -
0.2812 6310 0.3704 - -
0.2816 6320 0.3312 - -
0.2821 6330 0.3431 - -
0.2825 6340 0.3502 - -
0.2829 6350 0.2821 - -
0.2834 6360 0.3097 - -
0.2838 6370 0.3444 - -
0.2843 6380 0.3349 - -
0.2847 6390 0.2999 - -
0.2852 6400 0.3149 - -
0.2856 6410 0.3462 - -
0.2861 6420 0.3337 - -
0.2865 6430 0.3329 - -
0.2870 6440 0.3294 - -
0.2874 6450 0.2917 - -
0.2878 6460 0.3007 - -
0.2883 6470 0.2809 - -
0.2887 6480 0.3745 - -
0.2892 6490 0.3625 - -
0.2896 6500 0.3123 - -
0.2901 6510 0.3209 - -
0.2905 6520 0.347 - -
0.2910 6530 0.3084 - -
0.2914 6540 0.2829 - -
0.2919 6550 0.3569 - -
0.2923 6560 0.2686 - -
0.2927 6570 0.2929 - -
0.2932 6580 0.3237 - -
0.2936 6590 0.3451 - -
0.2941 6600 0.3199 - -
0.2945 6610 0.2848 - -
0.2950 6620 0.2842 - -
0.2954 6630 0.3168 - -
0.2959 6640 0.3094 - -
0.2963 6650 0.3239 - -
0.2968 6660 0.357 - -
0.2972 6670 0.3279 - -
0.2976 6680 0.4015 - -
0.2981 6690 0.2901 - -
0.2985 6700 0.3387 - -
0.2990 6710 0.3282 - -
0.2994 6720 0.2909 - -
0.2999 6730 0.3556 - -
0.3003 6740 0.3008 - -
0.3008 6750 0.3205 - -
0.3012 6760 0.3132 - -
0.3017 6770 0.3181 - -
0.3021 6780 0.3752 - -
0.3026 6790 0.317 - -
0.3030 6800 0.3584 - -
0.3034 6810 0.3475 - -
0.3039 6820 0.2827 - -
0.3043 6830 0.2925 - -
0.3048 6840 0.2941 - -
0.3052 6850 0.3154 - -
0.3057 6860 0.3301 - -
0.3061 6870 0.3492 - -
0.3066 6880 0.3147 - -
0.3070 6890 0.348 - -
0.3075 6900 0.3577 - -
0.3079 6910 0.2893 - -
0.3083 6920 0.3298 - -
0.3088 6930 0.3071 - -
0.3092 6940 0.322 - -
0.3097 6950 0.3055 - -
0.3101 6960 0.3333 - -
0.3106 6970 0.3329 - -
0.3110 6980 0.3298 - -
0.3115 6990 0.3061 - -
0.3119 7000 0.3005 0.7686 0.7672
0.3124 7010 0.3463 - -
0.3128 7020 0.3467 - -
0.3132 7030 0.3104 - -
0.3137 7040 0.3268 - -
0.3141 7050 0.3222 - -
0.3146 7060 0.3126 - -
0.3150 7070 0.3121 - -
0.3155 7080 0.2935 - -
0.3159 7090 0.2897 - -
0.3164 7100 0.3066 - -
0.3168 7110 0.3363 - -
0.3173 7120 0.3293 - -
0.3177 7130 0.3161 - -
0.3181 7140 0.3582 - -
0.3186 7150 0.3345 - -
0.3190 7160 0.3307 - -
0.3195 7170 0.3269 - -
0.3199 7180 0.3262 - -
0.3204 7190 0.3115 - -
0.3208 7200 0.3145 - -
0.3213 7210 0.2816 - -
0.3217 7220 0.3239 - -
0.3222 7230 0.2825 - -
0.3226 7240 0.3217 - -
0.3230 7250 0.2913 - -
0.3235 7260 0.3219 - -
0.3239 7270 0.2968 - -
0.3244 7280 0.2999 - -
0.3248 7290 0.2924 - -
0.3253 7300 0.3033 - -
0.3257 7310 0.3521 - -
0.3262 7320 0.3258 - -
0.3266 7330 0.3724 - -
0.3271 7340 0.3068 - -
0.3275 7350 0.3095 - -
0.3279 7360 0.2957 - -
0.3284 7370 0.2741 - -
0.3288 7380 0.3183 - -
0.3293 7390 0.3409 - -
0.3297 7400 0.3066 - -
0.3302 7410 0.3139 - -
0.3306 7420 0.3639 - -
0.3311 7430 0.3333 - -
0.3315 7440 0.276 - -
0.3320 7450 0.3326 - -
0.3324 7460 0.3239 - -
0.3329 7470 0.3067 - -
0.3333 7480 0.3213 - -
0.3337 7490 0.3227 - -
0.3342 7500 0.3027 - -
0.3346 7510 0.3017 - -
0.3351 7520 0.2797 - -
0.3355 7530 0.3215 - -
0.3360 7540 0.2713 - -
0.3364 7550 0.3071 - -
0.3369 7560 0.309 - -
0.3373 7570 0.3145 - -
0.3378 7580 0.2694 - -
0.3382 7590 0.3036 - -
0.3386 7600 0.2892 - -
0.3391 7610 0.3227 - -
0.3395 7620 0.3373 - -
0.3400 7630 0.2584 - -
0.3404 7640 0.232 - -
0.3409 7650 0.311 - -
0.3413 7660 0.3536 - -
0.3418 7670 0.3279 - -
0.3422 7680 0.3034 - -
0.3427 7690 0.2916 - -
0.3431 7700 0.2822 - -
0.3435 7710 0.2871 - -
0.3440 7720 0.3284 - -
0.3444 7730 0.2909 - -
0.3449 7740 0.3292 - -
0.3453 7750 0.3393 - -
0.3458 7760 0.2838 - -
0.3462 7770 0.2686 - -
0.3467 7780 0.318 - -
0.3471 7790 0.3335 - -
0.3476 7800 0.3017 - -
0.3480 7810 0.2595 - -
0.3484 7820 0.3008 - -
0.3489 7830 0.2726 - -
0.3493 7840 0.2938 - -
0.3498 7850 0.2923 - -
0.3502 7860 0.361 - -
0.3507 7870 0.2689 - -
0.3511 7880 0.3014 - -
0.3516 7890 0.3169 - -
0.3520 7900 0.3124 - -
0.3525 7910 0.3367 - -
0.3529 7920 0.276 - -
0.3533 7930 0.3556 - -
0.3538 7940 0.3036 - -
0.3542 7950 0.2983 - -
0.3547 7960 0.3393 - -
0.3551 7970 0.3688 - -
0.3556 7980 0.3391 - -
0.3560 7990 0.3432 - -
0.3565 8000 0.3061 0.7543 0.7526
0.3569 8010 0.293 - -
0.3574 8020 0.2925 - -
0.3578 8030 0.2852 - -
0.3582 8040 0.396 - -
0.3587 8050 0.2927 - -
0.3591 8060 0.3028 - -
0.3596 8070 0.3102 - -
0.3600 8080 0.328 - -
0.3605 8090 0.3194 - -
0.3609 8100 0.2808 - -
0.3614 8110 0.292 - -
0.3618 8120 0.3232 - -
0.3623 8130 0.3629 - -
0.3627 8140 0.3222 - -
0.3632 8150 0.3691 - -
0.3636 8160 0.2965 - -
0.3640 8170 0.293 - -
0.3645 8180 0.3166 - -
0.3649 8190 0.3021 - -
0.3654 8200 0.2815 - -
0.3658 8210 0.3089 - -
0.3663 8220 0.2804 - -
0.3667 8230 0.3011 - -
0.3672 8240 0.27 - -
0.3676 8250 0.361 - -
0.3681 8260 0.3322 - -
0.3685 8270 0.2741 - -
0.3689 8280 0.3207 - -
0.3694 8290 0.3437 - -
0.3698 8300 0.3259 - -
0.3703 8310 0.2473 - -
0.3707 8320 0.2321 - -
0.3712 8330 0.2699 - -
0.3716 8340 0.2404 - -
0.3721 8350 0.2586 - -
0.3725 8360 0.295 - -
0.3730 8370 0.3063 - -
0.3734 8380 0.2551 - -
0.3738 8390 0.2562 - -
0.3743 8400 0.3062 - -
0.3747 8410 0.3165 - -
0.3752 8420 0.308 - -
0.3756 8430 0.2976 - -
0.3761 8440 0.284 - -
0.3765 8450 0.3525 - -
0.3770 8460 0.2639 - -
0.3774 8470 0.3171 - -
0.3779 8480 0.3367 - -
0.3783 8490 0.2801 - -
0.3787 8500 0.2957 - -
0.3792 8510 0.3684 - -
0.3796 8520 0.312 - -
0.3801 8530 0.3703 - -
0.3805 8540 0.2963 - -
0.3810 8550 0.3032 - -
0.3814 8560 0.3415 - -
0.3819 8570 0.3011 - -
0.3823 8580 0.33 - -
0.3828 8590 0.2763 - -
0.3832 8600 0.3295 - -
0.3836 8610 0.3334 - -
0.3841 8620 0.258 - -
0.3845 8630 0.2626 - -
0.3850 8640 0.2813 - -
0.3854 8650 0.2845 - -
0.3859 8660 0.2719 - -
0.3863 8670 0.2898 - -
0.3868 8680 0.3011 - -
0.3872 8690 0.2914 - -
0.3877 8700 0.3355 - -
0.3881 8710 0.2678 - -
0.3885 8720 0.2266 - -
0.3890 8730 0.3016 - -
0.3894 8740 0.3369 - -
0.3899 8750 0.3558 - -
0.3903 8760 0.2824 - -
0.3908 8770 0.3201 - -
0.3912 8780 0.2485 - -
0.3917 8790 0.2603 - -
0.3921 8800 0.3223 - -
0.3926 8810 0.247 - -
0.3930 8820 0.2766 - -
0.3934 8830 0.3231 - -
0.3939 8840 0.322 - -
0.3943 8850 0.3039 - -
0.3948 8860 0.2442 - -
0.3952 8870 0.36 - -
0.3957 8880 0.2551 - -
0.3961 8890 0.2661 - -
0.3966 8900 0.3001 - -
0.3970 8910 0.2886 - -
0.3975 8920 0.2856 - -
0.3979 8930 0.2827 - -
0.3984 8940 0.2652 - -
0.3988 8950 0.3077 - -
0.3992 8960 0.3094 - -
0.3997 8970 0.3281 - -
0.4001 8980 0.3399 - -
0.4006 8990 0.3093 - -
0.4010 9000 0.2586 0.7634 0.7607
0.4015 9010 0.2939 - -
0.4019 9020 0.3022 - -
0.4024 9030 0.2919 - -
0.4028 9040 0.2524 - -
0.4033 9050 0.2248 - -
0.4037 9060 0.2759 - -
0.4041 9070 0.2916 - -
0.4046 9080 0.3006 - -
0.4050 9090 0.2302 - -
0.4055 9100 0.3001 - -
0.4059 9110 0.3143 - -
0.4064 9120 0.2544 - -
0.4068 9130 0.3142 - -
0.4073 9140 0.3364 - -
0.4077 9150 0.2785 - -
0.4082 9160 0.2948 - -
0.4086 9170 0.2657 - -
0.4090 9180 0.2722 - -
0.4095 9190 0.3212 - -
0.4099 9200 0.2952 - -
0.4104 9210 0.2764 - -
0.4108 9220 0.2744 - -
0.4113 9230 0.2912 - -
0.4117 9240 0.2676 - -
0.4122 9250 0.2613 - -
0.4126 9260 0.2905 - -
0.4131 9270 0.3308 - -
0.4135 9280 0.3311 - -
0.4139 9290 0.2904 - -
0.4144 9300 0.3367 - -
0.4148 9310 0.2742 - -
0.4153 9320 0.295 - -
0.4157 9330 0.3034 - -
0.4162 9340 0.3302 - -
0.4166 9350 0.2883 - -
0.4171 9360 0.2768 - -
0.4175 9370 0.2953 - -
0.4180 9380 0.3196 - -
0.4184 9390 0.2731 - -
0.4188 9400 0.3016 - -
0.4193 9410 0.3325 - -
0.4197 9420 0.2503 - -
0.4202 9430 0.273 - -
0.4206 9440 0.2784 - -
0.4211 9450 0.2676 - -
0.4215 9460 0.2891 - -
0.4220 9470 0.2977 - -
0.4224 9480 0.2673 - -
0.4229 9490 0.2845 - -
0.4233 9500 0.2825 - -
0.4237 9510 0.2865 - -
0.4242 9520 0.2451 - -
0.4246 9530 0.2806 - -
0.4251 9540 0.2629 - -
0.4255 9550 0.3426 - -
0.4260 9560 0.2453 - -
0.4264 9570 0.3458 - -
0.4269 9580 0.2392 - -
0.4273 9590 0.2433 - -
0.4278 9600 0.2481 - -
0.4282 9610 0.3277 - -
0.4287 9620 0.2609 - -
0.4291 9630 0.2986 - -
0.4295 9640 0.2712 - -
0.4300 9650 0.3169 - -
0.4304 9660 0.2638 - -
0.4309 9670 0.2821 - -
0.4313 9680 0.2969 - -
0.4318 9690 0.2727 - -
0.4322 9700 0.2858 - -
0.4327 9710 0.2988 - -
0.4331 9720 0.2628 - -
0.4336 9730 0.3027 - -
0.4340 9740 0.2502 - -
0.4344 9750 0.3028 - -
0.4349 9760 0.2381 - -
0.4353 9770 0.2981 - -
0.4358 9780 0.2208 - -
0.4362 9790 0.2433 - -
0.4367 9800 0.2672 - -
0.4371 9810 0.3147 - -
0.4376 9820 0.2655 - -
0.4380 9830 0.273 - -
0.4385 9840 0.3505 - -
0.4389 9850 0.2822 - -
0.4393 9860 0.2682 - -
0.4398 9870 0.294 - -
0.4402 9880 0.3002 - -
0.4407 9890 0.2514 - -
0.4411 9900 0.3193 - -
0.4416 9910 0.2296 - -
0.4420 9920 0.2209 - -
0.4425 9930 0.2961 - -
0.4429 9940 0.297 - -
0.4434 9950 0.2734 - -
0.4438 9960 0.2806 - -
0.4442 9970 0.2634 - -
0.4447 9980 0.3131 - -
0.4451 9990 0.3007 - -
0.4456 10000 0.3299 0.7687 0.7657
0.4460 10010 0.2224 - -
0.4465 10020 0.2891 - -
0.4469 10030 0.2997 - -
0.4474 10040 0.3072 - -
0.4478 10050 0.2657 - -
0.4483 10060 0.2927 - -
0.4487 10070 0.3071 - -
0.4491 10080 0.2734 - -
0.4496 10090 0.3016 - -
0.4500 10100 0.2798 - -
0.4505 10110 0.2845 - -
0.4509 10120 0.2788 - -
0.4514 10130 0.2914 - -
0.4518 10140 0.2693 - -
0.4523 10150 0.2866 - -
0.4527 10160 0.3127 - -
0.4532 10170 0.2743 - -
0.4536 10180 0.3078 - -
0.4540 10190 0.3003 - -
0.4545 10200 0.2872 - -
0.4549 10210 0.2461 - -
0.4554 10220 0.2944 - -
0.4558 10230 0.2765 - -
0.4563 10240 0.2763 - -
0.4567 10250 0.2905 - -
0.4572 10260 0.2856 - -
0.4576 10270 0.2722 - -
0.4581 10280 0.2668 - -
0.4585 10290 0.3014 - -
0.4590 10300 0.3083 - -
0.4594 10310 0.2957 - -
0.4598 10320 0.3093 - -
0.4603 10330 0.3009 - -
0.4607 10340 0.3161 - -
0.4612 10350 0.2737 - -
0.4616 10360 0.2473 - -
0.4621 10370 0.2999 - -
0.4625 10380 0.2943 - -
0.4630 10390 0.2784 - -
0.4634 10400 0.2541 - -
0.4639 10410 0.2731 - -
0.4643 10420 0.2608 - -
0.4647 10430 0.3024 - -
0.4652 10440 0.2563 - -
0.4656 10450 0.2725 - -
0.4661 10460 0.2643 - -
0.4665 10470 0.2627 - -
0.4670 10480 0.2655 - -
0.4674 10490 0.2556 - -
0.4679 10500 0.299 - -
0.4683 10510 0.3286 - -
0.4688 10520 0.3075 - -
0.4692 10530 0.2702 - -
0.4696 10540 0.2688 - -
0.4701 10550 0.29 - -
0.4705 10560 0.2918 - -
0.4710 10570 0.2507 - -
0.4714 10580 0.2849 - -
0.4719 10590 0.2938 - -
0.4723 10600 0.2275 - -
0.4728 10610 0.2662 - -
0.4732 10620 0.2864 - -
0.4737 10630 0.2865 - -
0.4741 10640 0.3094 - -
0.4745 10650 0.2479 - -
0.4750 10660 0.2483 - -
0.4754 10670 0.3166 - -
0.4759 10680 0.2727 - -
0.4763 10690 0.3077 - -
0.4768 10700 0.3076 - -
0.4772 10710 0.2835 - -
0.4777 10720 0.2893 - -
0.4781 10730 0.2889 - -
0.4786 10740 0.279 - -
0.4790 10750 0.2487 - -
0.4794 10760 0.2936 - -
0.4799 10770 0.2471 - -
0.4803 10780 0.2807 - -
0.4808 10790 0.2868 - -
0.4812 10800 0.229 - -
0.4817 10810 0.2683 - -
0.4821 10820 0.2686 - -
0.4826 10830 1.8939 - -
0.4830 10840 0.8922 - -
0.4835 10850 0.9472 - -
0.4839 10860 0.7066 - -
0.4843 10870 0.6178 - -
0.4848 10880 0.6898 - -
0.4852 10890 0.7844 - -
0.4857 10900 0.9946 - -
0.4861 10910 1.3618 - -
0.4866 10920 1.2785 - -
0.4870 10930 0.9415 - -
0.4875 10940 0.753 - -
0.4879 10950 0.6851 - -
0.4884 10960 0.7812 - -
0.4888 10970 0.9856 - -
0.4893 10980 0.7245 - -
0.4897 10990 1.0757 - -
0.4901 11000 0.996 0.7854 0.7828

Framework Versions

  • Python: 3.10.12
  • Sentence Transformers: 3.3.0
  • Transformers: 4.46.2
  • PyTorch: 2.1.0+cu118
  • Accelerate: 1.1.1
  • Datasets: 3.1.0
  • Tokenizers: 0.20.3

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",
}

MultipleNegativesRankingLoss

@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}
}