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tags:
  - sentence-transformers
  - sentence-similarity
  - feature-extraction
  - dense
  - generated_from_trainer
  - dataset_size:12868
  - loss:OptimizedContrastiveDistillationLoss
base_model: lightonai/modernbert-embed-large
widget:
  - source_sentence: >-
      Instruct: Retrieve semantically similar text based on safety profile

      Query: This is a vile, unbelievable, horrific story and these people are
      disgusting!! 

      I am speechless as to the heinous behavior of this MOTHER & SON KILLERS!
      This is the most cold hearted, callous act for anyone and then to have the
      Mother and son do do this together makes me sick. Of course the Mother
      claims she doesn't know if her underage son was drinking! She reeked of
      alcohol herself which means, that yes, he was drinking, she probably gave
      him the alcohol and then they decided to wait several hours for the
      driver's blood alcohol to go down. He only came forward because there were
      multiple witnesses!! I am sick. This is some of the most vile behavior I
      have read, they stopped the car, and he got out and pulled the victim from
      his windshield and threw him on the ground. They both need to be charged
      with the MAXIMUM punishment possible. Mother & son deserve to be shot.
    sentences:
      - >-
        Instruct: Retrieve semantically similar text based on safety profile

        Query: Instead of restrooms, we'll only have porta potties installed. 
        Problem solved.  Transgender friendly restrooms.
      - >-
        Instruct: Retrieve semantically similar text based on safety profile

        Query: $26,443 a year for tuition and the best thing they can think of
        to chant is "F%^$ Trump?
      - >-
        Instruct: Retrieve semantically similar text based on safety profile

        Query: I'll leave the partisan politics out of my comment for a change.


        To our troops. Take care and if you have to shoot, shoot the other poor
        bastard so you can come home.
  - source_sentence: >-
      Instruct: Retrieve semantically similar text based on safety profile

      Query: Trump seems to come away unscathed. The talking heads on CNN must
      have been watching a different testimony then what we saw.
    sentences:
      - |-
        Instruct: Retrieve semantically similar text based on safety profile
        Query: Bautista went oh for 4 and struck out 4 times.
        Batting a average is now 109. 
        What a waste of space. Time to sit him down and let a peewee player hit.
        What at $18 million per year?
      - >-
        Instruct: Retrieve semantically similar text based on safety profile

        Query: Sounds like producer intended a form of Semitic hyperbole to make
        a point?

        Didn't see it.  Wonder if his point was the institutional church was
        anti-sex?

        A trove of works underscore how bad sex was.  No "Joy of Sex" manuals in
        RCC circles!

        Pleasure and sex were not condoned until Aquinas thought a little
        pleasure was acceptable, only in context of conception.  Hence the RCC
        joke, "Not a sin if you didn't take pleasure in it". 

        And masturbation remains a mortal sin! Taking pleasure when not
        conceiving.

        The stranglehold on sexuality in the hands of men supposedly celibate!?

        Like 9 Republican senators deciding on health care for women.

        Not that films may be bizarre but the theater of the absurd we're forced
        to play roles in is.
      - >-
        Instruct: Retrieve semantically similar text based on safety profile

        Query: I agree most of them taste like crap.  But I'm still trying to
        figure out why eating animals is bad or immoral. I eat animals.  When I
        die, the bugs will eat my body, which will in turn will feed other
        animal organisms. As my body decays it will enrich the soil so plants
        will grow.  I owe it to this cycle to make sure my body is appropriately
        nourished to continue the cycle.  My body is omnivorous. It is designed
        to consume both plants and animals.  I am not so egotistical to think
        that I am above the nature in which I was created.  There is a logic and
        order to the biological diversity of the planet.  Who am I to screw with
        it.  So vegans, get off your high horses and quit condemning those of us
        who like meat as somehow less compassionate and less in tune with nature
        than those who just eat plants.  I say to them, they are depriving the
        bugs of a well-fed body. How inconsiderate.
  - source_sentence: >-
      Instruct: Retrieve semantically similar text based on safety profile

      Query: Just as repubs tend to be phony conservatives, they are also phony
      Christians.   For example many republicans favor the death penalty. 
      Considering that the Christian religion is based upon the capital
      punishment of its leader, well what can I say.  Do they believe that it
      was all right to kill their savior?
    sentences:
      - >-
        Instruct: Retrieve semantically similar text based on safety profile

        Query: May he find strength within his family and villagers who benefit
        from his magnificent hunting success.  Providing food for his family and
        friends is the most socially acceptable action any human being might
        perform.  It is not displaced by the false, artificial "social" media of
        the naysayers, stupid, and racist.  The vile comments on such media have
        no value in the true worth of a human being.  Allowing it to influence
        or change your humanity to provide for your people would reward those
        same evil cowards.  Your life has been well lived; No need to change it
        for faceless, ignorant misusers of the technology allowing all to be
        connected.  Just live a good life, as was said by another hero in the
        WWII movie, Saving Private Ryan.  He was saved by others in the worst of
        times and lived a good life.  So shall you.
      - >-
        Instruct: Retrieve semantically similar text based on safety profile

        Query: This was NOT a WOMEN"S MARCH. It was a spoiled brat march made up
        of some women and led by a jar of lard, a used and useless tampon, and a
        screaming shrew of privilege wearing pearls. It was both ugly, pathetic,
        obnoxious, and inane, just as Moore, Madonna, and Judd are. MILLIONS of
        WOMEN did NOT participate because we do not believe any of the crap
        these idiots were hawking and can take of ourselves. Women do NOT OWN a
        fetus - they do NOT own a child and have no right - NONE - to kill
        anyone. Where the hell are these million women when a child is
        slaughtered in partial birth abortion and then the baby body parts are
        taken in order to sell them. Doing their nails and wearing pussy hats.
        Women do NOT have more rights than men. Women have the right NOT to get
        pregnant and every thing available to them for that. Abortion must be
        rare to save the life of the mother and to protect a young girl from the
        consequences of rape or incest.
      - >-
        Instruct: Retrieve semantically similar text based on safety profile

        Query: What a wholly ignorant, in the worst way, statement.  Blacks have
        voted democratic since they were pushed out of the party of lincoln by
        white racists.  If BO was a conservative and blacks were conservative
        leaning they would have voted the same way.  The majority of white
        people in America didnt vote for BO; hence the Obama coalition.  Black
        and brown people also voted in larger numbers because it was a history
        making election, BLACK man running for, and having a good chance to
        become president in a country whose history and riches is built on white
        supremacy.  They didnt come out in the same numbers afterwards, hence he
        lost control of the congress.  But yes, lets try to paint black (and
        brown) peoples with the same racist brush; let's pretend that black
        people having 'racial' bias is the same as white racists who own the
        systems; lets pretend they have the power to impact the lives of whites
        in the same way; let's pretend that a black trump would have been
        elected to the presidency.
  - source_sentence: |-
      Instruct: Retrieve semantically similar text based on safety profile
      Query: You are picking fly shit out of pepper.
    sentences:
      - >-
        Instruct: Retrieve semantically similar text based on safety profile

        Query: Sounds like that's pretty close to what Governor Walker will
        submit to the lege in early October. They can once again try to avoid
        making the difficult decisions before November 8 but the pressure and
        the spotlight will be on them to do their damn jobs now that the
        Chenault/Meyers caucus has refused to deal with what the Governor
        proposed last session.
      - >-
        Instruct: Retrieve semantically similar text based on safety profile

        Query: The write references time some the damn was built. When land was
        stolen and a group of people were banned from the city. This happened
        and it was recent. Very predictable that such treatment by pioneers
        would be forgiven. In fact some folk don't even want such history even
        spoke of. The behavior of Anchorage's pioneers is real and horrible. And
        recent. But hey, go ahead and dimish that horrible behavior with info
        from the Amazon. It speaks volumes about how folks view the heinous
        behaviors of our pioneers.
      - >-
        Instruct: Retrieve semantically similar text based on safety profile

        Query: They deserve the death penalty, why should we pay for their home
        away from home for the rest of their lives, pretty pathetic 😞
  - source_sentence: >-
      Instruct: Retrieve semantically similar text based on safety profile

      Query: We will see women as popes  when Islamic men stop raping women,
      playing tahharush, killing gays, forcing them to cover up, not allowing
      them to drive, stop performing genital mutilation etc. Jk we know neither
      will ever happen. Now run along and make my white self a sandwich honey!!
    sentences:
      - >-
        Instruct: Retrieve semantically similar text based on safety profile

        Query: Right, so instead of proving your claim about the Hawaiian haters
        in this thread, you instead respond with the typical racist Hawaiian
        stereotypes about haoles.


        I see racism in Hawaii because ignorant racists like you pretend that
        your blind hatred is something other than what it is.


        The fact is I have said nothing different than the kanaka maoil who were
        arrested outside of the Na'i Aupuni convention, but the difference is,
        you can not stand hearing it from someone who you assume does not have
        the magic blood.


        News flash. Every single person on this planet is indigenous. Get over
        yourself.
      - >-
        Instruct: Retrieve semantically similar text based on safety profile

        Query: Gary Johnson.......Really? Gary should endorse Trump to prevent
        Hillary from winning. I say DAMN the media lies! Clintons Out of our
        government! Podesta and all the other little rats too!
      - >-
        Instruct: Retrieve semantically similar text based on safety profile

        Query: It's official. Canadians have been driven to mental illness. 


        (The test for civility here is confusing. I rated a comment referring to
        the left as disgusting and vile as not good but civil. There were no
        personal names. "Vile" means disgusted, and the poster was disgusted. So
        ??? If that's not OK, why is "Fiberals" allowed? That's referring to the
        Liberals as liars.)
pipeline_tag: sentence-similarity
library_name: sentence-transformers

SentenceTransformer based on lightonai/modernbert-embed-large

This is a sentence-transformers model finetuned from lightonai/modernbert-embed-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: lightonai/modernbert-embed-large
Maximum Sequence Length: 256 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': 256, 'do_lower_case': False, 'architecture': 'ModernBertModel'})
  (1): Pooling({'word_embedding_dimension': 1024, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
  (2): Normalize()
)

Usage

Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

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("sentence_transformers_model_id")
# Run inference
sentences = [
    'Instruct: Retrieve semantically similar text based on safety profile\nQuery: We will see women as popes  when Islamic men stop raping women, playing tahharush, killing gays, forcing them to cover up, not allowing them to drive, stop performing genital mutilation etc. Jk we know neither will ever happen. Now run along and make my white self a sandwich honey!!',
    'Instruct: Retrieve semantically similar text based on safety profile\nQuery: It\'s official. Canadians have been driven to mental illness. \n\n(The test for civility here is confusing. I rated a comment referring to the left as disgusting and vile as not good but civil. There were no personal names. "Vile" means disgusted, and the poster was disgusted. So ??? If that\'s not OK, why is "Fiberals" allowed? That\'s referring to the Liberals as liars.)',
    "Instruct: Retrieve semantically similar text based on safety profile\nQuery: Right, so instead of proving your claim about the Hawaiian haters in this thread, you instead respond with the typical racist Hawaiian stereotypes about haoles.\n\nI see racism in Hawaii because ignorant racists like you pretend that your blind hatred is something other than what it is.\n\nThe fact is I have said nothing different than the kanaka maoil who were arrested outside of the Na'i Aupuni convention, but the difference is, you can not stand hearing it from someone who you assume does not have the magic blood.\n\nNews flash. Every single person on this planet is indigenous. Get over yourself.",
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 1024]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities)
# tensor([[1.0000, 0.9453, 0.9609],
#         [0.9453, 1.0000, 0.9609],
#         [0.9609, 0.9609, 1.0000]], dtype=torch.bfloat16)

Training Details

Training Dataset

Unnamed Dataset

Size: 12,868 training samples
Columns: sentence_0, sentence_1, and label
Approximate statistics based on the first 1000 samples:
sentence_0 sentence_1 label
type string string float
details
min: 20 tokens
mean: 82.03 tokens
max: 256 tokens

min: 20 tokens
mean: 84.69 tokens
max: 256 tokens

min: 0.0
mean: 0.51
max: 1.0

	sentence_0	sentence_1	label
type	string	string	float
details	min: 20 tokens mean: 82.03 tokens max: 256 tokens	min: 20 tokens mean: 84.69 tokens max: 256 tokens	min: 0.0 mean: 0.51 max: 1.0

Samples:

sentence_0	sentence_1	label
Instruct: Retrieve semantically similar text based on safety profile Query: You threatened to kill people when you made this statement. "Except maybe criminals who have to consider whether their next victim is packing heat. Which by the way, I don't. Probably." Too many of you white folks refuse to take responsibility for your choices. I consider the GOP, in the 21st century, to be little more than a white identity death cult. You love being white and armed more than being human beings or Americans. You have made it clear that you have no problem taking a human life. Do you support the state sponsored killing of unarmed black people? BTW, you didn't respond to my comments about the Vietnam war. Are you not brave?	`Instruct: Retrieve semantically similar text based on safety profile Query: Shoot the messenger--an ancient tradition.`	`1.0`
Instruct: Retrieve semantically similar text based on safety profile Query: This land is OUR land, David. If Seneca wants to do logging, then do it on private land, the problem is they have over cut their private lands and now they want to get their greedy hands on the last of OUR public forests. I have a job, I have been working since I was eleven years old and am nearing retirement age. I have also been a volunteer for over 25 years working to help us transition our economy and consciousness to one that is truly sustainable. We are in the midst of the most devastating crisis humans have ever faced due to burning fossil fuels, deforestation, over fishing, pollution, chemical farming and over human population. We have created the sixth mass species extinction! Wake up, David and the rest of you who think working to protect our last wildlands- and the biosphere in general- is "wacko." What is "wacko" is those of you who are in denial of this global crisis. Face facts.	`Instruct: Retrieve semantically similar text based on safety profile Query: Well that's a new level of ineptitude. They literally didn't get their own memo. I'm sure it was entirely accidental...`	`1.0`
`Instruct: Retrieve semantically similar text based on safety profile Query: What's the matter? Did he get too close to the truth for you by characterizing Trump as a rich narcissist, materialist, demagogue who doesn't really have any coherent ''program'' other than staying at the center of attention, expanding his family's wealth and influence, and being applauded by his core constituency?`	`Instruct: Retrieve semantically similar text based on safety profile Query: He can get a translator. Trudeau just speaks nonsense in both.`	`1.0`

Loss: main.OptimizedContrastiveDistillationLoss

Training Hyperparameters

Non-Default Hyperparameters

per_device_train_batch_size: 16
per_device_eval_batch_size: 16
num_train_epochs: 1
multi_dataset_batch_sampler: round_robin

All Hyperparameters

Click to expand

overwrite_output_dir: False
do_predict: False
eval_strategy: no
prediction_loss_only: True
per_device_train_batch_size: 16
per_device_eval_batch_size: 16
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: 1
max_steps: -1
lr_scheduler_type: linear
lr_scheduler_kwargs: None
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
bf16: False
fp16: False
fp16_opt_level: O1
half_precision_backend: auto
bf16_full_eval: False
fp16_full_eval: False
tf32: None
local_rank: 0
ddp_backend: None
tpu_num_cores: None
tpu_metrics_debug: False
debug: []
dataloader_drop_last: False
dataloader_num_workers: 0
dataloader_prefetch_factor: None
past_index: -1
disable_tqdm: False
remove_unused_columns: True
label_names: None
load_best_model_at_end: False
ignore_data_skip: False
fsdp: []
fsdp_min_num_params: 0
fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
fsdp_transformer_layer_cls_to_wrap: None
accelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
parallelism_config: None
deepspeed: None
label_smoothing_factor: 0.0
optim: adamw_torch_fused
optim_args: None
adafactor: False
group_by_length: False
length_column_name: length
project: huggingface
trackio_space_id: trackio
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
hub_revision: None
gradient_checkpointing: False
gradient_checkpointing_kwargs: None
include_inputs_for_metrics: False
include_for_metrics: []
eval_do_concat_batches: True
fp16_backend: auto
push_to_hub_model_id: None
push_to_hub_organization: None
mp_parameters:
auto_find_batch_size: False
full_determinism: False
torchdynamo: None
ray_scope: last
ddp_timeout: 1800
torch_compile: False
torch_compile_backend: None
torch_compile_mode: None
include_tokens_per_second: False
include_num_input_tokens_seen: no
neftune_noise_alpha: None
optim_target_modules: None
batch_eval_metrics: False
eval_on_start: False
use_liger_kernel: False
liger_kernel_config: None
eval_use_gather_object: False
average_tokens_across_devices: True
prompts: None
batch_sampler: batch_sampler
multi_dataset_batch_sampler: round_robin
router_mapping: {}
learning_rate_mapping: {}

Training Logs

Epoch	Step	Training Loss
0.6211	500	0.0186

Framework Versions

Python: 3.14.4
Sentence Transformers: 5.1.0
Transformers: 4.57.6
PyTorch: 2.11.0+cu128
Accelerate: 1.13.0
Datasets: 4.8.4
Tokenizers: 0.22.2

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",
}