metadata

tags:
  - sentence-transformers
  - sentence-similarity
  - feature-extraction
  - generated_from_trainer
  - dataset_size:498970
  - loss:BPRLoss
base_model: answerdotai/ModernBERT-large
widget:
  - source_sentence: when was the world trade organization created
    sentences:
      - >-
        The Dark Side Of The WTO. The World Trade Organization (WTO) was created
        January 1, 1995, and it has been a source of controversy ever since. The
        birth of the WTO was more of a continuation than a truly new creation.
      - >-
        Updated May 30, 2016. The Great Depression started in 1929. On March 25,
        the stock market had a correction. Many investors were wiped out, since
        they had borrowed money from their stockbrokers. When the market fell,
        the brokers called in their loans. That wiped out some businesses,
        including banks.
      - "A Preparatory Committee was established in February 1946, and met for the first time in London in October 1946 to work on the charter of an international organization for trade; the work was continued from April to November 1947.even rounds of negotiations occurred under GATT before the eighth roundâ\x80\x94the Uruguay Round â\x80\x94concluded in 1994 with the establishment of the World Trade Organization (WTO) as the GATT's replacement."
  - source_sentence: 'where do you find the routing # on a check'
    sentences:
      - >-
        The easiest way to find your routing number is to look at your bank
        checks. It's easy to find the bank's ABA routing number and your account
        number as shown in the example check image below. The image is only for
        reference purposes. In some cases the order of the checking account
        number and check serial number is reversed. Search all BB&T NORTH
        CAROLINA routing numbers in the table below. Use the Search box to
        filter by city, state, address, routing number. Click on the routing
        number link in the table below to navigate to it and see all the
        information about it (address, telephone number, zip code, etc.).
      - >-
        Another way to locate your routing number is by looking at a check. The
        number on the lower left corner of your checks, as marked in this image,
        is the routing number for that account. You can also find your routing
        number on the WellsFargo.com website:
        wellsfargo.com/help/routing-number.
      - "Your system literally dries out. Sometimes dehydration occurs for simple reasons: You don't drink enough because you're sick or busy, or because you lack access to safe drinking water when you're traveling, hiking or camping. Other dehydration causes include: 1  Diarrhea, vomiting.2  Severe, acute diarrhea â\x80\x94 that is, diarrhea that comes on suddenly and violently â\x80\x94 can cause a tremendous loss of water and electrolytes in a short amount of time. 3  If you have vomiting along with diarrhea, you lose even more fluids and minerals.ometimes dehydration occurs for simple reasons: You don't drink enough because you're sick or busy, or because you lack access to safe drinking water when you're traveling, hiking or camping. Other dehydration causes include: 1  Diarrhea, vomiting."
  - source_sentence: average litter size for new zealand whites
    sentences:
      - >-
        1 They come in several different colors (black, red and white) but the
        white rabbits are the most popular for meat production because of their
        large, broad, and muscular bodies. 2  When mature, bucks weigh from 8-10
        pounds and females from 9-12 pounds. 3  New Zealand rabbits are ready to
        slaughter as fryers after just 2 months.
      - >-
        Quoits is a traditional target throwing game in which rings are thrown
        at a target spike, and the objective is to get them as close as possible
        to the targets. The origin of the game is not very clear and there are
        theories that suggest the game originated from similar games played in
        ancient Greece.
      - >-
        When mature, bucks weigh from 8-10 pounds and females from 9-12 pounds.
        New Zealand rabbits are ready to slaughter as fryers after just 2
        months. Their average litter size is 8-10 bunnies.
  - source_sentence: what is parasitic infection
    sentences:
      - >-
        A parasitic disease is an infectious disease caused or transmitted by a
        parasite. Many parasites do not cause diseases. Parasitic diseases can
        affect practically all living organisms, including plants and mammals.
        The study of parasitic diseases is called parasitology.erminology
        [edit]. Although organisms such as bacteria function as parasites, the
        usage of the term parasitic disease is usually more restricted. The
        three main types of organisms causing these conditions are protozoa
        (causing protozoan infection), helminths (helminthiasis), and
        ectoparasites.
      - >-
        Episodes are broadcast on Sunday at 9:00 pm Eastern Time, and the
        episodes for season one to six are between 50 and 69 minutes in length.
        The first six seasons are available on DVD and Blu-ray. As of June 26,
        2016, 60 episodes of Game of Thrones have aired, concluding the sixth
        season. The series was renewed for a seventh season in April 2016, which
        will consist of seven episodes and premiere on July 16, 2017. The series
        will conclude with its eighth season, which will consist of six
        episodes.
      - >-
        It is possible to get sepsis and not know you have an infection or the
        doctors might not be able to figure out what the infection was. All
        types of infections can cause sepsis: Bacterial. Viral. Fungal.
        Parasitic A bacterial infection is caused by bacteria, such as E. coli,
        or group A streptococcus.
  - source_sentence: what is the average top third score on the act
    sentences:
      - >-
        The average ACT score composite at Duke is a 34. The 25th percentile ACT
        score is 32, and the 75th percentile ACT score is 35. In other words, a
        32 places you below average, while a 35 will move you up to above
        average.f you're a junior or senior, your GPA is hard to change from
        this point on. If your GPA is at or below the school average of 4.19,
        you'll need a higher ACT score to compensate and show that you're
        prepared to take on college academics.
      - >-
        North Dakota is among a dozen states where high school students are
        required to take the ACT before graduating. The state tied with Colorado
        for third with an average composite score of 20.6 this year. Utah was
        first with an average of 20.8 and Illinois was second at 20.7. ACT
        composite scores range from 1 to 36. The national average is 21.0. A
        total of 7,227 students in North Dakota took the ACT this year.
      - >-
        Warning. Itchy upper back skin may be caused by an allergic reaction to
        medications. If you take medications, talk with your doctor. Drugs that
        commonly cause this issue include antibiotics, narcotic pain medications
        and antifungal medications, according to MayoClinic.com.
pipeline_tag: sentence-similarity
library_name: sentence-transformers

SentenceTransformer based on answerdotai/ModernBERT-large

This is a sentence-transformers model finetuned from answerdotai/ModernBERT-large. It maps sentences & paragraphs to a 1024-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

Model Details

Model Description

Model Type: Sentence Transformer
Base model: answerdotai/ModernBERT-large
Maximum Sequence Length: 8192 tokens
Output Dimensionality: 1024 dimensions
Similarity Function: Cosine Similarity

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': 8192, 'do_lower_case': False}) with Transformer model: ModernBertModel 
  (1): Pooling({'word_embedding_dimension': 1024, '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})
)

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("BlackBeenie/ModernBERT-large-msmarco-bpr")
# Run inference
sentences = [
    'what is the average top third score on the act',
    'North Dakota is among a dozen states where high school students are required to take the ACT before graduating. The state tied with Colorado for third with an average composite score of 20.6 this year. Utah was first with an average of 20.8 and Illinois was second at 20.7. ACT composite scores range from 1 to 36. The national average is 21.0. A total of 7,227 students in North Dakota took the ACT this year.',
    "The average ACT score composite at Duke is a 34. The 25th percentile ACT score is 32, and the 75th percentile ACT score is 35. In other words, a 32 places you below average, while a 35 will move you up to above average.f you're a junior or senior, your GPA is hard to change from this point on. If your GPA is at or below the school average of 4.19, you'll need a higher ACT score to compensate and show that you're prepared to take on college academics.",
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 1024]

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

Training Details

Training Dataset

Unnamed Dataset

Size: 498,970 training samples
Columns: sentence_0, sentence_1, and sentence_2

Approximate statistics based on the first 1000 samples:

	sentence_0	sentence_1	sentence_2
type	string	string	string
details	min: 4 tokens mean: 9.24 tokens max: 27 tokens	min: 23 tokens mean: 83.71 tokens max: 279 tokens	min: 17 tokens mean: 79.72 tokens max: 262 tokens

Samples:

sentence_0	sentence_1	sentence_2
`what is tongkat ali`	`Tongkat Ali is a very powerful herb that acts as a sex enhancer by naturally increasing the testosterone levels, and revitalizing sexual impotence, performance and pleasure. Tongkat Ali is also effective in building muscular volume & strength resulting to a healthy physique.`	`However, unlike tongkat ali extract, tongkat ali chipped root and root powder are not sterile. Thus, the raw consumption of root powder is not recommended. The traditional preparation in Indonesia and Malaysia is to boil chipped roots as a tea. A standard dosage would be 50 gram of chipped root per person per day.`
`cost to install engineered hardwood flooring`	`Burton says his customers typically spend about $8 per square foot for engineered hardwood flooring; add an additional $2 per square foot for installation. Minion says consumers should expect to pay $7 to $12 per square foot for quality hardwood flooring. âIf the homeowner buys the wood and you need somebody to install it, usually an installation goes for about $2 a square foot,â Bill LeBeau, owner of LeBeauâs Hardwood Floors of Huntersville, North Carolina, says.`	Installing hardwood flooring can cost between $9 and $12 per square foot, compared with about $3 to $5 per square foot for carpetâso some homeowners opt to install hardwood only in some rooms rather than throughout their home.However, carpet typically needs to be replaced if it becomes stained or worn out.ardwood flooring lasts longer than carpet, can be easier to keep clean and can be refinished. In the end, though, the decision about whether to install hardwood or carpeting in a bedroom should be based on your personal preference, at least if you intend to stay in the home for years.
`define pollute`	`pollutes; polluted; polluting. Learner's definition of POLLUTE. [+ object] : to make (land, water, air, etc.) dirty and not safe or suitable to use. Waste from the factory had polluted [=contaminated] the river. Miles of beaches were polluted by the oil spill. Car exhaust pollutes the air.`	`Definition of pollute written for English Language Learners from the Merriam-Webster Learner's Dictionary with audio pronunciations, usage examples, and count/noncount noun labels. Learner's Dictionary mobile search`

Loss: beir.losses.bpr_loss.BPRLoss

Training Hyperparameters

Non-Default Hyperparameters

eval_strategy: steps
per_device_train_batch_size: 32
per_device_eval_batch_size: 32
num_train_epochs: 5
fp16: True
multi_dataset_batch_sampler: round_robin

All Hyperparameters

Click to expand

overwrite_output_dir: False
do_predict: False
eval_strategy: steps
prediction_loss_only: True
per_device_train_batch_size: 32
per_device_eval_batch_size: 32
per_gpu_train_batch_size: None
per_gpu_eval_batch_size: None
gradient_accumulation_steps: 1
eval_accumulation_steps: None
torch_empty_cache_steps: None
learning_rate: 5e-05
weight_decay: 0.0
adam_beta1: 0.9
adam_beta2: 0.999
adam_epsilon: 1e-08
max_grad_norm: 1
num_train_epochs: 5
max_steps: -1
lr_scheduler_type: linear
lr_scheduler_kwargs: {}
warmup_ratio: 0.0
warmup_steps: 0
log_level: passive
log_level_replica: warning
log_on_each_node: True
logging_nan_inf_filter: True
save_safetensors: True
save_on_each_node: False
save_only_model: False
restore_callback_states_from_checkpoint: False
no_cuda: False
use_cpu: False
use_mps_device: False
seed: 42
data_seed: None
jit_mode_eval: False
use_ipex: False
bf16: False
fp16: 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: False
resume_from_checkpoint: None
hub_model_id: None
hub_strategy: every_save
hub_private_repo: None
hub_always_push: False
gradient_checkpointing: False
gradient_checkpointing_kwargs: None
include_inputs_for_metrics: False
include_for_metrics: []
eval_do_concat_batches: True
fp16_backend: auto
push_to_hub_model_id: None
push_to_hub_organization: None
mp_parameters:
auto_find_batch_size: False
full_determinism: False
torchdynamo: None
ray_scope: last
ddp_timeout: 1800
torch_compile: False
torch_compile_backend: None
torch_compile_mode: None
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: batch_sampler
multi_dataset_batch_sampler: round_robin

Training Logs

Click to expand

Epoch	Step	Training Loss
0.0321	500	1.517
0.0641	1000	0.355
0.0962	1500	0.3123
0.1283	2000	0.2916
0.1603	2500	0.2805
0.1924	3000	0.2782
0.2245	3500	0.2806
0.2565	4000	0.2831
0.2886	4500	0.2837
0.3207	5000	0.2603
0.3527	5500	0.2529
0.3848	6000	0.2681
0.4169	6500	0.2573
0.4489	7000	0.2678
0.4810	7500	0.2786
0.5131	8000	0.2559
0.5451	8500	0.2771
0.5772	9000	0.2807
0.6092	9500	0.2627
0.6413	10000	0.2536
0.6734	10500	0.2607
0.7054	11000	0.2578
0.7375	11500	0.2615
0.7696	12000	0.2624
0.8016	12500	0.2491
0.8337	13000	0.2487
0.8658	13500	0.2524
0.8978	14000	0.2465
0.9299	14500	0.2575
0.9620	15000	0.2412
0.9940	15500	0.2514
1.0	15593	-
1.0261	16000	0.1599
1.0582	16500	0.1495
1.0902	17000	0.1494
1.1223	17500	0.1437
1.1544	18000	0.1541
1.1864	18500	0.1455
1.2185	19000	0.1424
1.2506	19500	0.1456
1.2826	20000	0.1552
1.3147	20500	0.1508
1.3468	21000	0.1474
1.3788	21500	0.1534
1.4109	22000	0.1505
1.4430	22500	0.149
1.4750	23000	0.1616
1.5071	23500	0.1528
1.5392	24000	0.1531
1.5712	24500	0.151
1.6033	25000	0.1666
1.6353	25500	0.153
1.6674	26000	0.1532
1.6995	26500	0.1614
1.7315	27000	0.1576
1.7636	27500	0.154
1.7957	28000	0.1597
1.8277	28500	0.1512
1.8598	29000	0.1652
1.8919	29500	0.151
1.9239	30000	0.1561
1.9560	30500	0.1508
1.9881	31000	0.1463
2.0	31186	-
2.0201	31500	0.0999
2.0522	32000	0.0829
2.0843	32500	0.0799
2.1163	33000	0.0843
2.1484	33500	0.091
2.1805	34000	0.0843
2.2125	34500	0.092
2.2446	35000	0.0879
2.2767	35500	0.0914
2.3087	36000	0.092
2.3408	36500	0.101
2.3729	37000	0.1038
2.4049	37500	0.1084
2.4370	38000	0.0923
2.4691	38500	0.1083
2.5011	39000	0.0909
2.5332	39500	0.0918
2.5653	40000	0.101
2.5973	40500	0.0935
2.6294	41000	0.0858
2.6615	41500	0.0821
2.6935	42000	0.0755
2.7256	42500	0.0902
2.7576	43000	0.0906
2.7897	43500	0.089
2.8218	44000	0.088
2.8538	44500	0.0866
2.8859	45000	0.0914
2.9180	45500	0.0903
2.9500	46000	0.0903
2.9821	46500	0.0932
3.0	46779	-
3.0142	47000	0.0724
3.0462	47500	0.0465
3.0783	48000	0.049
3.1104	48500	0.0458
3.1424	49000	0.0461
3.1745	49500	0.0456
3.2066	50000	0.0469
3.2386	50500	0.051
3.2707	51000	0.044
3.3028	51500	0.0551
3.3348	52000	0.0549
3.3669	52500	0.0539
3.3990	53000	0.0515
3.4310	53500	0.0544
3.4631	54000	0.044
3.4952	54500	0.0499
3.5272	55000	0.0557
3.5593	55500	0.0571
3.5914	56000	0.0673
3.6234	56500	0.0512
3.6555	57000	0.0474
3.6876	57500	0.049
3.7196	58000	0.0552
3.7517	58500	0.046
3.7837	59000	0.0488
3.8158	59500	0.0477
3.8479	60000	0.054
3.8799	60500	0.0595
3.9120	61000	0.0462
3.9441	61500	0.0472
3.9761	62000	0.0553
4.0	62372	-
4.0082	62500	0.0438
4.0403	63000	0.0178
4.0723	63500	0.0187
4.1044	64000	0.0219
4.1365	64500	0.0254
4.1685	65000	0.0222
4.2006	65500	0.0229
4.2327	66000	0.0206
4.2647	66500	0.0195
4.2968	67000	0.0184
4.3289	67500	0.0224
4.3609	68000	0.019
4.3930	68500	0.0204
4.4251	69000	0.0187
4.4571	69500	0.0207
4.4892	70000	0.0215
4.5213	70500	0.0194
4.5533	71000	0.0206
4.5854	71500	0.0189
4.6175	72000	0.0222
4.6495	72500	0.0198
4.6816	73000	0.0199
4.7137	73500	0.0155
4.7457	74000	0.0185
4.7778	74500	0.0176
4.8099	75000	0.0181
4.8419	75500	0.0165
4.8740	76000	0.0204
4.9060	76500	0.0163
4.9381	77000	0.0154
4.9702	77500	0.0194
5.0	77965	-

Framework Versions

Python: 3.11.11
Sentence Transformers: 3.4.1
Transformers: 4.48.2
PyTorch: 2.5.1+cu124
Accelerate: 1.3.0
Datasets: 3.2.0
Tokenizers: 0.21.0

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",
}