metadata

language:
  - en
tags:
  - sentence-transformers
  - sentence-similarity
  - feature-extraction
  - generated_from_trainer
  - dataset_size:19139199
  - loss:MatryoshkaLoss
  - loss:MultipleNegativesRankingLoss
base_model: estrogen/ModernBERT-base-sbert-initialized
widget:
  - source_sentence: '[unused0]what period do we live in'
    sentences:
      - "[unused1]The answer depends on what you want in a cruise experience. If youâ\x80\x99re interested in lively entertainment, drinking and parties, and crazy excitement for more festive cruise experience, and the best time to go on a Caribbean cruise is between mid February through much of March."
      - >-
        [unused1]Earth is currently in the Quaternary Period of the Cenozoic
        Era.
      - >-
        [unused1]If we did not live in a structured society with other people,
        laws would not be necessary. We would simply do as we please, with
        little regard for others. But ever since individuals began to associate
        with other people -- to live in society --laws have been the glue that
        has kept society together.lmost everything we do is governed by some set
        of rules. There are rules for games, for social clubs, for sports and
        for adults in the workplace. There are also rules imposed by morality
        and custom that play an important role in telling us what we should and
        should not do.
  - source_sentence: '[unused0]how different religion define christology'
    sentences:
      - "[unused1]Find origin, gender, rashi, nakshatra, zodiac signs, moon signs, religion, caste, compatibility and astrology behind the name Janhavi, Find what name Janhavi means in different region, in different religion, in different rashi, for different planets, and in different nakshatraâ\x80\x99s."
      - >-
        [unused1]Christianity is an Abrahamic religion that began as a Second
        Temple Judaic sect in the mid-1st century. Originating in Judea, it
        quickly spread to Europe, Syria, Mesopotamia, Asia Minor, Transcaucasia,
        Egypt, Ethiopia, and India, and by the end of the 4th century had become
        the official state church of the Roman Empire.
      - "[unused1]The answer depends on what you want in a cruise experience. If youâ\x80\x99re interested in lively entertainment, drinking and parties, and crazy excitement for more festive cruise experience, and the best time to go on a Caribbean cruise is between mid February through much of March."
  - source_sentence: '[unused0]what was juliet morgan family'
    sentences:
      - >-
        [unused1]Famous Financier. Financier, art collector and philanthropist
        John Pierpont Morgan, best known as J.P. Morgan, was born on April 17,
        1837, in Hartford, Connecticut. The son of a banker, Morgan went into
        the family business and became one of the most famous financiers in
        history.
      - >-
        [unused1]Juliet Pierpont Morgan was born on month day 1847, at birth
        place, Connecticut, to Junius Spencer Morgan and Juliet Morgan (born
        Pierpont). Junius was born on April 14 1813, in Holyoke, Hampden County,
        Massachusetts, USA.
      - >-
        [unused1]Juliette Hampton Morgan was a librarian and civil rights
        activist in Montgomery, Alabama. The only daughter from a well-to-do
        white family, Morgan was an early member of the community that pushed
        for integration. As a librarian she often spoke out against the acts of
        injustice she witnessed against African-Americans by writing letters to
        the Montgomery Advertiser, the local newspaper. She was castigated by
        the community for her racial views and was targeted by segregationists
        who broke her windo
  - source_sentence: '[unused0]how different religion define christology'
    sentences:
      - >-
        [unused1]Carbon Monoxide is produced from gas appliances in your home.
        Carbon Dioxide is produced from the exhaust fumes from your automobile.
        Either of these gases can be harmful to a human. These gases can be even
        more harmful to small animals in your home. Depending on the size of
        your home you should have a carbon monoxide detector on every level of
        your home.
      - >-
        [unused1]Doctrine is a set of accepted beliefs held by a group. In
        religion, it is the set of true beliefs that define the parameters of
        that belief system.
      - >-
        [unused1]Christianity is an Abrahamic religion that began as a Second
        Temple Judaic sect in the mid-1st century. Originating in Judea, it
        quickly spread to Europe, Syria, Mesopotamia, Asia Minor, Transcaucasia,
        Egypt, Ethiopia, and India, and by the end of the 4th century had become
        the official state church of the Roman Empire.
  - source_sentence: '[unused0]what period do we live in'
    sentences:
      - "[unused1]Thereâ\x80\x99s a big difference in drive time depending on what part of Ewa Beach you live in â\x80\x94 the homes in Ocean Point (most southern part of Ewa) have a 20 minute longer drive than we do, even though we both live in the town of Ewa Beach."
      - >-
        [unused1]Save. Bankruptcy does not automatically disqualify someone for
        receiving security clearances, but it will slow the process down--as
        will any derogatory financial information. If you are applying for
        top-secret clearance, background investigators will review the reasons
        for your bankruptcy.
      - >-
        [unused1]Earth is currently in the Quaternary Period of the Cenozoic
        Era.
datasets:
  - sentence-transformers/msmarco-bm25
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics:
  - cosine_accuracy
model-index:
  - name: SentenceTransformer based on estrogen/ModernBERT-base-sbert-initialized
    results:
      - task:
          type: triplet
          name: Triplet
        dataset:
          name: ms marco
          type: ms_marco
        metrics:
          - type: cosine_accuracy
            value: 0.9537
            name: Cosine Accuracy
          - type: cosine_accuracy
            value: 0.9587
            name: Cosine Accuracy

SentenceTransformer based on estrogen/ModernBERT-base-sbert-initialized

This is a sentence-transformers model finetuned from estrogen/ModernBERT-base-sbert-initialized on the msmarco-bm25 dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

Model Details

Model Description

Model Type: Sentence Transformer
Base model: estrogen/ModernBERT-base-sbert-initialized
Maximum Sequence Length: 8192 tokens
Output Dimensionality: 768 dimensions
Similarity Function: Cosine Similarity
Training Dataset:
- msmarco-bm25
Language: en

Model Sources

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

Full Model Architecture

SentenceTransformer(
  (0): Transformer({'max_seq_length': 8192, 'do_lower_case': False}) with Transformer model: ModernBertModel 
  (1): Pooling({'word_embedding_dimension': 768, '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("estrogen/ModernBERT-base-marco")
# Run inference
sentences = [
    '[unused0]what period do we live in',
    '[unused1]Earth is currently in the Quaternary Period of the Cenozoic Era.',
    '[unused1]Thereâ\x80\x99s a big difference in drive time depending on what part of Ewa Beach you live in â\x80\x94 the homes in Ocean Point (most southern part of Ewa) have a 20 minute longer drive than we do, even though we both live in the town of Ewa Beach.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 768]

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

Evaluation

Metrics

Triplet

Dataset: ms_marco
Evaluated with TripletEvaluator

Metric	Value
cosine_accuracy	0.9537

Triplet

Dataset: ms_marco
Evaluated with TripletEvaluator

Metric	Value
cosine_accuracy	0.9587

Training Details

Training Dataset

msmarco-bm25

Dataset: msmarco-bm25 at ce8a493
Size: 19,139,199 training samples
Columns: query, positive, and negative

Approximate statistics based on the first 1000 samples:

	query	positive	negative
type	string	string	string
details	min: 6 tokens mean: 10.51 tokens max: 17 tokens	min: 45 tokens mean: 86.37 tokens max: 212 tokens	min: 25 tokens mean: 80.75 tokens max: 222 tokens

Samples:

query	positive	negative
`[unused0]what are the liberal arts?`	`[unused1]liberal arts. 1. the academic course of instruction at a college intended to provide general knowledge and comprising the arts, humanities, natural sciences, and social sciences, as opposed to professional or technical subjects.`	`[unused1]The New York State Education Department requires 60 Liberal Arts credits in a Bachelor of Science program and 90 Liberal Arts credits in a Bachelor of Arts program. In the list of course descriptions, courses which are liberal arts for all students are identified by (Liberal Arts) after the course number.`
`[unused0]what are the liberal arts?`	`[unused1]liberal arts. 1. the academic course of instruction at a college intended to provide general knowledge and comprising the arts, humanities, natural sciences, and social sciences, as opposed to professional or technical subjects.`	`[unused1]You can choose from an array of liberal arts majors. Most of these are offered in the liberal arts departments of colleges that belong to universities and at smaller colleges that are designated as liberal arts institutions.`
`[unused0]what are the liberal arts?`	`[unused1]liberal arts. 1. the academic course of instruction at a college intended to provide general knowledge and comprising the arts, humanities, natural sciences, and social sciences, as opposed to professional or technical subjects.`	`[unused1]Majors. You can choose from an array of liberal arts majors. Most of these are offered in the liberal arts departments of colleges that belong to universities and at smaller colleges that are designated as liberal arts institutions.`

Loss: MatryoshkaLoss with these parameters:

{
    "loss": "MultipleNegativesRankingLoss",
    "matryoshka_dims": [
        768,
        512,
        256,
        128,
        64
    ],
    "matryoshka_weights": [
        1,
        0.9,
        0.81,
        0.7290000000000001,
        0.6561
    ],
    "n_dims_per_step": -1
}

Evaluation Dataset

msmarco-bm25

Dataset: msmarco-bm25 at ce8a493
Size: 19,139,199 evaluation samples
Columns: query, positive, and negative

Approximate statistics based on the first 1000 samples:

	query	positive	negative
type	string	string	string
details	min: 5 tokens mean: 10.42 tokens max: 23 tokens	min: 20 tokens mean: 80.07 tokens max: 167 tokens	min: 18 tokens mean: 82.48 tokens max: 213 tokens

Samples:

query	positive	negative
`[unused0]different uses of corn`	[unused1]Corn or maize oil is extracted from the germ of corn, and its main use is for cooking. It is also a key ingredient in margarine and other processed foods. Corn oil is also a feedstock used for biodiesel.From 2012 to 2014, the use of nonfood-grade (NFG) corn oil for biodiesel production has grown tremendously.ses of Corn Oil. Apart from serving as a less-than-ideal cooking oil, corn oil has several industrial uses, including as an addition to soap, salve, paint, ink, textiles, and insecticides. It also sometimes functions as a carrier for drug molecules in pharmaceutical products.	`[unused1]Impact of Ethanol on Corn Prices. The U.S. produces 40 percent of the worldâs corn, [5] and ethanol production uses about 40 percent of U.S. corn production, [6] but roughly one-third of the value of the corn used in ethanol production returns to the feed market as DDGS.`
`[unused0]different uses of corn`	[unused1]Corn or maize oil is extracted from the germ of corn, and its main use is for cooking. It is also a key ingredient in margarine and other processed foods. Corn oil is also a feedstock used for biodiesel.From 2012 to 2014, the use of nonfood-grade (NFG) corn oil for biodiesel production has grown tremendously.ses of Corn Oil. Apart from serving as a less-than-ideal cooking oil, corn oil has several industrial uses, including as an addition to soap, salve, paint, ink, textiles, and insecticides. It also sometimes functions as a carrier for drug molecules in pharmaceutical products.	`[unused1]But ask different reptile keepers how long corn do corn snakes get and you won't get one standard answer. Like us humans, who may grow to little more than 5 feet tall to well over 6 feet in adults, different corn snakes attain different sizes.`
`[unused0]different uses of corn`	[unused1]Corn or maize oil is extracted from the germ of corn, and its main use is for cooking. It is also a key ingredient in margarine and other processed foods. Corn oil is also a feedstock used for biodiesel.From 2012 to 2014, the use of nonfood-grade (NFG) corn oil for biodiesel production has grown tremendously.ses of Corn Oil. Apart from serving as a less-than-ideal cooking oil, corn oil has several industrial uses, including as an addition to soap, salve, paint, ink, textiles, and insecticides. It also sometimes functions as a carrier for drug molecules in pharmaceutical products.	`[unused1]The corn system uses a large amount of natural resources. Even though it does not deliver as much food as comparable systems around the globe, the American corn system continues to use a large proportion of our countryâs natural resources.he corn system uses a large amount of natural resources. Even though it does not deliver as much food as comparable systems around the globe, the American corn system continues to use a large proportion of our countryâs natural resources.`

Loss: MatryoshkaLoss with these parameters:

{
    "loss": "MultipleNegativesRankingLoss",
    "matryoshka_dims": [
        768,
        512,
        256,
        128,
        64
    ],
    "matryoshka_weights": [
        1,
        0.9,
        0.81,
        0.7290000000000001,
        0.6561
    ],
    "n_dims_per_step": -1
}

Training Hyperparameters

Non-Default Hyperparameters

eval_strategy: steps
per_device_train_batch_size: 256
per_device_eval_batch_size: 256
num_train_epochs: 1
warmup_ratio: 0.1
bf16: True
prompts: {'query': '[unused0]', 'positive': '[unused1]', 'negative': '[unused1]'}
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: 256
per_device_eval_batch_size: 256
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: 1.0
num_train_epochs: 1
max_steps: -1
lr_scheduler_type: linear
lr_scheduler_kwargs: {}
warmup_ratio: 0.1
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: 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: {'query': '[unused0]', 'positive': '[unused1]', 'negative': '[unused1]'}
batch_sampler: no_duplicates
multi_dataset_batch_sampler: proportional

Training Logs

Click to expand

Epoch	Step	Training Loss	Validation Loss	ms_marco_cosine_accuracy
0	0	-	-	0.5833
0.0005	1	24.3765	-	-
0.0010	2	24.4903	-	-
0.0015	3	24.4595	-	-
0.0020	4	24.2913	-	-
0.0026	5	24.355	-	-
0.0031	6	24.2594	-	-
0.0036	7	24.1731	-	-
0.0041	8	24.135	-	-
0.0046	9	23.9455	-	-
0.0051	10	23.9964	-	-
0.0056	11	23.7097	-	-
0.0061	12	23.6735	-	-
0.0067	13	23.4437	-	-
0.0072	14	23.3786	-	-
0.0077	15	23.2145	-	-
0.0082	16	23.056	-	-
0.0087	17	22.9313	-	-
0.0092	18	22.6844	-	-
0.0097	19	22.5722	-	-
0.0102	20	22.4012	-	-
0.0107	21	22.1844	-	-
0.0113	22	21.9721	-	-
0.0118	23	21.7602	-	-
0.0123	24	21.4919	-	-
0.0128	25	21.2078	-	-
0.0133	26	20.9653	-	-
0.0138	27	20.6508	-	-
0.0143	28	20.2809	-	-
0.0148	29	19.8262	-	-
0.0154	30	19.3564	-	-
0.0159	31	18.9138	-	-
0.0164	32	18.2485	-	-
0.0169	33	17.63	-	-
0.0174	34	17.028	-	-
0.0179	35	16.2372	-	-
0.0184	36	15.3384	-	-
0.0189	37	14.3885	-	-
0.0194	38	13.4842	-	-
0.0200	39	12.6733	-	-
0.0205	40	11.8822	-	-
0.0210	41	11.2018	-	-
0.0215	42	10.2756	-	-
0.0220	43	9.2841	-	-
0.0225	44	8.8121	-	-
0.0230	45	7.973	-	-
0.0235	46	7.3955	-	-
0.0241	47	6.9961	-	-
0.0246	48	6.9545	-	-
0.0251	49	6.4636	-	-
0.0256	50	5.9562	-	-
0.0261	51	5.6653	-	-
0.0266	52	5.0228	-	-
0.0271	53	4.6302	-	-
0.0276	54	4.0535	-	-
0.0281	55	3.714	-	-
0.0287	56	3.2454	-	-
0.0292	57	2.9078	-	-
0.0297	58	2.6236	-	-
0.0302	59	2.4775	-	-
0.0307	60	2.1067	-	-
0.0312	61	2.1748	-	-
0.0317	62	1.9844	-	-
0.0322	63	1.7707	-	-
0.0328	64	1.6281	-	-
0.0333	65	1.9416	-	-
0.0338	66	1.5796	-	-
0.0343	67	1.5611	-	-
0.0348	68	1.5282	-	-
0.0353	69	1.6081	-	-
0.0358	70	1.4455	-	-
0.0363	71	1.3649	-	-
0.0368	72	1.0884	-	-
0.0374	73	0.9736	-	-
0.0379	74	0.8036	-	-
0.0384	75	0.8466	-	-
0.0389	76	0.8594	-	-
0.0394	77	0.8887	-	-
0.0399	78	0.8299	-	-
0.0404	79	0.8561	-	-
0.0409	80	1.0354	-	-
0.0415	81	1.1445	-	-
0.0420	82	1.1131	-	-
0.0425	83	1.114	-	-
0.0430	84	1.032	-	-
0.0435	85	0.8509	-	-
0.0440	86	0.7415	-	-
0.0445	87	1.1415	-	-
0.0450	88	1.1622	-	-
0.0455	89	1.2912	-	-
0.0461	90	1.0092	-	-
0.0466	91	0.7901	-	-
0.0471	92	0.7782	-	-
0.0476	93	0.6596	-	-
0.0481	94	0.5789	-	-
0.0486	95	0.8727	-	-
0.0491	96	0.6869	-	-
0.0496	97	0.7282	-	-
0.0502	98	0.6578	-	-
0.0507	99	0.6303	-	-
0.0512	100	0.4592	2.8360	0.8286
0.0517	101	0.6197	-	-
0.0522	102	0.737	-	-
0.0527	103	0.538	-	-
0.0532	104	0.435	-	-
0.0537	105	0.3955	-	-
0.0542	106	0.2621	-	-
0.0548	107	0.2742	-	-
0.0553	108	0.2802	-	-
0.0558	109	0.2681	-	-
0.0563	110	0.2489	-	-
0.0568	111	0.2985	-	-
0.0573	112	0.5011	-	-
0.0578	113	0.4239	-	-
0.0583	114	0.5619	-	-
0.0589	115	0.3498	-	-
0.0594	116	0.5731	-	-
0.0599	117	0.4297	-	-
0.0604	118	0.4703	-	-
0.0609	119	0.449	-	-
0.0614	120	0.4708	-	-
0.0619	121	0.4467	-	-
0.0624	122	0.4263	-	-
0.0629	123	0.3481	-	-
0.0635	124	0.2899	-	-
0.0640	125	0.4778	-	-
0.0645	126	0.7366	-	-
0.0650	127	0.5905	-	-
0.0655	128	0.5095	-	-
0.0660	129	0.3977	-	-
0.0665	130	0.4885	-	-
0.0670	131	0.4421	-	-
0.0676	132	0.2875	-	-
0.0681	133	0.4082	-	-
0.0686	134	0.424	-	-
0.0691	135	0.5184	-	-
0.0696	136	0.4225	-	-
0.0701	137	0.4612	-	-
0.0706	138	0.3632	-	-
0.0711	139	0.3489	-	-
0.0716	140	0.3888	-	-
0.0722	141	0.367	-	-
0.0727	142	0.3191	-	-
0.0732	143	0.4214	-	-
0.0737	144	0.3566	-	-
0.0742	145	0.2213	-	-
0.0747	146	0.2371	-	-
0.0752	147	0.2611	-	-
0.0757	148	0.1732	-	-
0.0763	149	0.223	-	-
0.0768	150	0.1442	-	-
0.0773	151	0.2201	-	-
0.0778	152	0.379	-	-
0.0783	153	0.3073	-	-
0.0788	154	0.2447	-	-
0.0793	155	0.3104	-	-
0.0798	156	0.3395	-	-
0.0803	157	0.2449	-	-
0.0809	158	0.226	-	-
0.0814	159	0.2058	-	-
0.0819	160	0.2084	-	-
0.0824	161	0.1993	-	-
0.0829	162	0.1208	-	-
0.0834	163	0.1055	-	-
0.0839	164	0.2083	-	-
0.0844	165	0.2167	-	-
0.0850	166	0.2169	-	-
0.0855	167	0.194	-	-
0.0860	168	0.2136	-	-
0.0865	169	0.2185	-	-
0.0870	170	0.2675	-	-
0.0875	171	0.2817	-	-
0.0880	172	0.3723	-	-
0.0885	173	0.5269	-	-
0.0890	174	0.2643	-	-
0.0896	175	0.2437	-	-
0.0901	176	0.1549	-	-
0.0906	177	0.1461	-	-
0.0911	178	0.1395	-	-
0.0916	179	0.1506	-	-
0.0921	180	0.2542	-	-
0.0926	181	0.2022	-	-
0.0931	182	0.1756	-	-
0.0937	183	0.2411	-	-
0.0942	184	0.3402	-	-
0.0947	185	0.3534	-	-
0.0952	186	0.2632	-	-
0.0957	187	0.3643	-	-
0.0962	188	0.4046	-	-
0.0967	189	0.2619	-	-
0.0972	190	0.1575	-	-
0.0977	191	0.12	-	-
0.0983	192	0.1157	-	-
0.0988	193	0.2453	-	-
0.0993	194	0.2406	-	-
0.0998	195	0.1784	-	-
0.1003	196	0.2226	-	-
0.1008	197	0.1963	-	-
0.1013	198	0.0964	-	-
0.1018	199	0.1413	-	-
0.1024	200	0.1467	1.6950	0.915
0.1029	201	0.322	-	-
0.1034	202	0.3444	-	-
0.1039	203	0.2968	-	-
0.1044	204	0.227	-	-
0.1049	205	0.3337	-	-
0.1054	206	0.2653	-	-
0.1059	207	0.251	-	-
0.1064	208	0.1667	-	-
0.1070	209	0.106	-	-
0.1075	210	0.1635	-	-
0.1080	211	0.1338	-	-
0.1085	212	0.1247	-	-
0.1090	213	0.12	-	-
0.1095	214	0.2283	-	-
0.1100	215	0.2245	-	-
0.1105	216	0.2821	-	-
0.1111	217	0.23	-	-
0.1116	218	0.3457	-	-
0.1121	219	0.4413	-	-
0.1126	220	0.3201	-	-
0.1131	221	0.3959	-	-
0.1136	222	0.323	-	-
0.1141	223	0.1532	-	-
0.1146	224	0.2216	-	-
0.1151	225	0.2449	-	-
0.1157	226	0.1398	-	-
0.1162	227	0.2693	-	-
0.1167	228	0.265	-	-
0.1172	229	0.2228	-	-
0.1177	230	0.2179	-	-
0.1182	231	0.1581	-	-
0.1187	232	0.2204	-	-
0.1192	233	0.1252	-	-
0.1198	234	0.2252	-	-
0.1203	235	0.2116	-	-
0.1208	236	0.1856	-	-
0.1213	237	0.1115	-	-
0.1218	238	0.0827	-	-
0.1223	239	0.2732	-	-
0.1228	240	0.2076	-	-
0.1233	241	0.1214	-	-
0.1238	242	0.1385	-	-
0.1244	243	0.3275	-	-
0.1249	244	0.307	-	-
0.1254	245	0.1637	-	-
0.1259	246	0.3614	-	-
0.1264	247	0.2571	-	-
0.1269	248	0.2131	-	-
0.1274	249	0.2254	-	-
0.1279	250	0.1677	-	-
0.1285	251	0.2697	-	-
0.1290	252	0.205	-	-
0.1295	253	0.1395	-	-
0.1300	254	0.1931	-	-
0.1305	255	0.2205	-	-
0.1310	256	0.1271	-	-
0.1315	257	0.1029	-	-
0.1320	258	0.0632	-	-
0.1325	259	0.0594	-	-
0.1331	260	0.2551	-	-
0.1336	261	0.3609	-	-
0.1341	262	0.3379	-	-
0.1346	263	0.2832	-	-
0.1351	264	0.2797	-	-
0.1356	265	0.2167	-	-
0.1361	266	0.2362	-	-
0.1366	267	0.1922	-	-
0.1372	268	0.2488	-	-
0.1377	269	0.135	-	-
0.1382	270	0.1064	-	-
0.1387	271	0.1245	-	-
0.1392	272	0.1605	-	-
0.1397	273	0.1739	-	-
0.1402	274	0.1816	-	-
0.1407	275	0.1802	-	-
0.1412	276	0.1227	-	-
0.1418	277	0.1445	-	-
0.1423	278	0.1052	-	-
0.1428	279	0.0774	-	-
0.1433	280	0.0778	-	-
0.1438	281	0.1116	-	-
0.1443	282	0.3067	-	-
0.1448	283	0.3255	-	-
0.1453	284	0.2831	-	-
0.1459	285	0.2623	-	-
0.1464	286	0.2323	-	-
0.1469	287	0.2093	-	-
0.1474	288	0.1023	-	-
0.1479	289	0.1909	-	-
0.1484	290	0.1476	-	-
0.1489	291	0.1069	-	-
0.1494	292	0.2284	-	-
0.1499	293	0.1341	-	-
0.1505	294	0.0924	-	-
0.1510	295	0.1264	-	-
0.1515	296	0.0836	-	-
0.1520	297	0.163	-	-
0.1525	298	0.0946	-	-
0.1530	299	0.0784	-	-
0.1535	300	0.2065	1.3301	0.9233
0.1540	301	0.133	-	-
0.1546	302	0.1105	-	-
0.1551	303	0.1045	-	-
0.1556	304	0.136	-	-
0.1561	305	0.0834	-	-
0.1566	306	0.0856	-	-
0.1571	307	0.1069	-	-
0.1576	308	0.2031	-	-
0.1581	309	0.1742	-	-
0.1586	310	0.1186	-	-
0.1592	311	0.0532	-	-
0.1597	312	0.0982	-	-
0.1602	313	0.1013	-	-
0.1607	314	0.1019	-	-
0.1612	315	0.1899	-	-
0.1617	316	0.133	-	-
0.1622	317	0.242	-	-
0.1627	318	0.3231	-	-
0.1633	319	0.3294	-	-
0.1638	320	0.3034	-	-
0.1643	321	0.263	-	-
0.1648	322	0.2273	-	-
0.1653	323	0.1982	-	-
0.1658	324	0.143	-	-
0.1663	325	0.317	-	-
0.1668	326	0.3259	-	-
0.1673	327	0.2158	-	-
0.1679	328	0.231	-	-
0.1684	329	0.1733	-	-
0.1689	330	0.3191	-	-
0.1694	331	0.187	-	-
0.1699	332	0.169	-	-
0.1704	333	0.2259	-	-
0.1709	334	0.2909	-	-
0.1714	335	0.3047	-	-
0.1720	336	0.2925	-	-
0.1725	337	0.2579	-	-
0.1730	338	0.2226	-	-
0.1735	339	0.3724	-	-
0.1740	340	0.2634	-	-
0.1745	341	0.1856	-	-
0.1750	342	0.1102	-	-
0.1755	343	0.1205	-	-
0.1760	344	0.1154	-	-
0.1766	345	0.1558	-	-
0.1771	346	0.0789	-	-
0.1776	347	0.1674	-	-
0.1781	348	0.1188	-	-
0.1786	349	0.163	-	-
0.1791	350	0.197	-	-
0.1796	351	0.1017	-	-
0.1801	352	0.0914	-	-
0.1807	353	0.1576	-	-
0.1812	354	0.1809	-	-
0.1817	355	0.1624	-	-
0.1822	356	0.1636	-	-
0.1827	357	0.1473	-	-
0.1832	358	0.1839	-	-
0.1837	359	0.1494	-	-
0.1842	360	0.1326	-	-
0.1847	361	0.1545	-	-
0.1853	362	0.1588	-	-
0.1858	363	0.0975	-	-
0.1863	364	0.1363	-	-
0.1868	365	0.1248	-	-
0.1873	366	0.1328	-	-
0.1878	367	0.1329	-	-
0.1883	368	0.0755	-	-
0.1888	369	0.2535	-	-
0.1894	370	0.2484	-	-
0.1899	371	0.2538	-	-
0.1904	372	0.1597	-	-
0.1909	373	0.188	-	-
0.1914	374	0.0946	-	-
0.1919	375	0.0899	-	-
0.1924	376	0.0814	-	-
0.1929	377	0.1024	-	-
0.1934	378	0.2536	-	-
0.1940	379	0.1975	-	-
0.1945	380	0.1364	-	-
0.1950	381	0.1144	-	-
0.1955	382	0.1584	-	-
0.1960	383	0.2206	-	-
0.1965	384	0.2278	-	-
0.1970	385	0.3123	-	-
0.1975	386	0.1633	-	-
0.1981	387	0.1344	-	-
0.1986	388	0.2176	-	-
0.1991	389	0.132	-	-
0.1996	390	0.1022	-	-
0.2001	391	0.1819	-	-
0.2006	392	0.1488	-	-
0.2011	393	0.0793	-	-
0.2016	394	0.1097	-	-
0.2021	395	0.0742	-	-
0.2027	396	0.1336	-	-
0.2032	397	0.102	-	-
0.2037	398	0.0837	-	-
0.2042	399	0.0948	-	-
0.2047	400	0.0911	1.2098	0.9202
0.2052	401	0.1793	-	-
0.2057	402	0.1949	-	-
0.2062	403	0.1297	-	-
0.2068	404	0.0983	-	-
0.2073	405	0.1735	-	-
0.2078	406	0.1271	-	-
0.2083	407	0.1855	-	-
0.2088	408	0.1755	-	-
0.2093	409	0.1591	-	-
0.2098	410	0.2311	-	-
0.2103	411	0.2291	-	-
0.2108	412	0.0812	-	-
0.2114	413	0.0893	-	-
0.2119	414	0.1559	-	-
0.2124	415	0.2663	-	-
0.2129	416	0.257	-	-
0.2134	417	0.1864	-	-
0.2139	418	0.1735	-	-
0.2144	419	0.1028	-	-
0.2149	420	0.1494	-	-
0.2155	421	0.1528	-	-
0.2160	422	0.3732	-	-
0.2165	423	0.2663	-	-
0.2170	424	0.2487	-	-
0.2175	425	0.28	-	-
0.2180	426	0.1857	-	-
0.2185	427	0.1069	-	-
0.2190	428	0.138	-	-
0.2195	429	0.106	-	-
0.2201	430	0.1366	-	-
0.2206	431	0.1444	-	-
0.2211	432	0.0695	-	-
0.2216	433	0.0652	-	-
0.2221	434	0.0771	-	-
0.2226	435	0.1724	-	-
0.2231	436	0.1494	-	-
0.2236	437	0.1837	-	-
0.2242	438	0.1885	-	-
0.2247	439	0.3021	-	-
0.2252	440	0.2301	-	-
0.2257	441	0.1372	-	-
0.2262	442	0.1413	-	-
0.2267	443	0.1489	-	-
0.2272	444	0.2566	-	-
0.2277	445	0.1504	-	-
0.2282	446	0.1567	-	-
0.2288	447	0.2548	-	-
0.2293	448	0.2375	-	-
0.2298	449	0.2346	-	-
0.2303	450	0.2818	-	-
0.2308	451	0.1814	-	-
0.2313	452	0.1792	-	-
0.2318	453	0.1701	-	-
0.2323	454	0.158	-	-
0.2329	455	0.0782	-	-
0.2334	456	0.0762	-	-
0.2339	457	0.1317	-	-
0.2344	458	0.1143	-	-
0.2349	459	0.0982	-	-
0.2354	460	0.1041	-	-
0.2359	461	0.0873	-	-
0.2364	462	0.1718	-	-
0.2369	463	0.2022	-	-
0.2375	464	0.4147	-	-
0.2380	465	0.3045	-	-
0.2385	466	0.2021	-	-
0.2390	467	0.2004	-	-
0.2395	468	0.1474	-	-
0.2400	469	0.2358	-	-
0.2405	470	0.2385	-	-
0.2410	471	0.2669	-	-
0.2416	472	0.1408	-	-
0.2421	473	0.1248	-	-
0.2426	474	0.0805	-	-
0.2431	475	0.0821	-	-
0.2436	476	0.0498	-	-
0.2441	477	0.0886	-	-
0.2446	478	0.066	-	-
0.2451	479	0.1148	-	-
0.2456	480	0.1282	-	-
0.2462	481	0.1113	-	-
0.2467	482	0.0992	-	-
0.2472	483	0.2702	-	-
0.2477	484	0.2504	-	-
0.2482	485	0.3917	-	-
0.2487	486	0.1506	-	-
0.2492	487	0.1238	-	-
0.2497	488	0.1337	-	-
0.2503	489	0.2255	-	-
0.2508	490	0.1447	-	-
0.2513	491	0.2208	-	-
0.2518	492	0.268	-	-
0.2523	493	0.174	-	-
0.2528	494	0.2124	-	-
0.2533	495	0.1783	-	-
0.2538	496	0.1945	-	-
0.2544	497	0.1642	-	-
0.2549	498	0.2724	-	-
0.2554	499	0.1823	-	-
0.2559	500	0.18	1.1056	0.913
0.2564	501	0.1871	-	-
0.2569	502	0.1611	-	-
0.2574	503	0.1915	-	-
0.2579	504	0.1281	-	-
0.2584	505	0.1793	-	-
0.2590	506	0.0993	-	-
0.2595	507	0.1785	-	-
0.2600	508	0.1308	-	-
0.2605	509	0.1142	-	-
0.2610	510	0.0932	-	-
0.2615	511	0.1643	-	-
0.2620	512	0.175	-	-
0.2625	513	0.2568	-	-
0.2631	514	0.1534	-	-
0.2636	515	0.105	-	-
0.2641	516	0.0964	-	-
0.2646	517	0.062	-	-
0.2651	518	0.123	-	-
0.2656	519	0.1892	-	-
0.2661	520	0.1282	-	-
0.2666	521	0.1243	-	-
0.2671	522	0.1051	-	-
0.2677	523	0.1257	-	-
0.2682	524	0.2121	-	-
0.2687	525	0.2357	-	-
0.2692	526	0.1355	-	-
0.2697	527	0.0861	-	-
0.2702	528	0.0632	-	-
0.2707	529	0.0652	-	-
0.2712	530	0.1102	-	-
0.2718	531	0.3408	-	-
0.2723	532	0.3124	-	-
0.2728	533	0.1656	-	-
0.2733	534	0.2136	-	-
0.2738	535	0.1601	-	-
0.2743	536	0.3403	-	-
0.2748	537	0.3067	-	-
0.2753	538	0.2028	-	-
0.2758	539	0.1166	-	-
0.2764	540	0.1655	-	-
0.2769	541	0.1911	-	-
0.2774	542	0.2947	-	-
0.2779	543	0.259	-	-
0.2784	544	0.1485	-	-
0.2789	545	0.2414	-	-
0.2794	546	0.1195	-	-
0.2799	547	0.128	-	-
0.2805	548	0.1484	-	-
0.2810	549	0.1338	-	-
0.2815	550	0.1516	-	-
0.2820	551	0.1856	-	-
0.2825	552	0.2027	-	-
0.2830	553	0.1686	-	-
0.2835	554	0.1355	-	-
0.2840	555	0.1367	-	-
0.2845	556	0.0977	-	-
0.2851	557	0.0916	-	-
0.2856	558	0.1016	-	-
0.2861	559	0.105	-	-
0.2866	560	0.0681	-	-
0.2871	561	0.1317	-	-
0.2876	562	0.0983	-	-
0.2881	563	0.1189	-	-
0.2886	564	0.1822	-	-
0.2892	565	0.1149	-	-
0.2897	566	0.0516	-	-
0.2902	567	0.0912	-	-
0.2907	568	0.1609	-	-
0.2912	569	0.1439	-	-
0.2917	570	0.1051	-	-
0.2922	571	0.1287	-	-
0.2927	572	0.1966	-	-
0.2932	573	0.1681	-	-
0.2938	574	0.1248	-	-
0.2943	575	0.204	-	-
0.2948	576	0.2069	-	-
0.2953	577	0.1346	-	-
0.2958	578	0.144	-	-
0.2963	579	0.1006	-	-
0.2968	580	0.0653	-	-
0.2973	581	0.0606	-	-
0.2979	582	0.0959	-	-
0.2984	583	0.2208	-	-
0.2989	584	0.2492	-	-
0.2994	585	0.224	-	-
0.2999	586	0.2556	-	-
0.3004	587	0.1741	-	-
0.3009	588	0.1486	-	-
0.3014	589	0.2298	-	-
0.3019	590	0.1557	-	-
0.3025	591	0.2844	-	-
0.3030	592	0.235	-	-
0.3035	593	0.1801	-	-
0.3040	594	0.1602	-	-
0.3045	595	0.131	-	-
0.3050	596	0.1771	-	-
0.3055	597	0.0996	-	-
0.3060	598	0.0809	-	-
0.3066	599	0.1244	-	-
0.3071	600	0.1467	1.1270	0.9164
0.3076	601	0.1539	-	-
0.3081	602	0.1627	-	-
0.3086	603	0.094	-	-
0.3091	604	0.0673	-	-
0.3096	605	0.0628	-	-
0.3101	606	0.0661	-	-
0.3106	607	0.059	-	-
0.3112	608	0.0386	-	-
0.3117	609	0.0659	-	-
0.3122	610	0.1256	-	-
0.3127	611	0.2102	-	-
0.3132	612	0.2038	-	-
0.3137	613	0.2993	-	-
0.3142	614	0.2537	-	-
0.3147	615	0.2742	-	-
0.3153	616	0.2262	-	-
0.3158	617	0.1024	-	-
0.3163	618	0.1367	-	-
0.3168	619	0.2258	-	-
0.3173	620	0.1861	-	-
0.3178	621	0.1482	-	-
0.3183	622	0.1205	-	-
0.3188	623	0.2656	-	-
0.3193	624	0.3613	-	-
0.3199	625	0.1914	-	-
0.3204	626	0.2363	-	-
0.3209	627	0.1523	-	-
0.3214	628	0.1676	-	-
0.3219	629	0.1536	-	-
0.3224	630	0.1544	-	-
0.3229	631	0.1694	-	-
0.3234	632	0.133	-	-
0.3240	633	0.163	-	-
0.3245	634	0.2706	-	-
0.3250	635	0.3171	-	-
0.3255	636	0.2479	-	-
0.3260	637	0.1399	-	-
0.3265	638	0.1158	-	-
0.3270	639	0.17	-	-
0.3275	640	0.1492	-	-
0.3280	641	0.2517	-	-
0.3286	642	0.1551	-	-
0.3291	643	0.083	-	-
0.3296	644	0.0845	-	-
0.3301	645	0.321	-	-
0.3306	646	0.2162	-	-
0.3311	647	0.1856	-	-
0.3316	648	0.2404	-	-
0.3321	649	0.2655	-	-
0.3327	650	0.1434	-	-
0.3332	651	0.0856	-	-
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0.8060	1575	0.2392	-	-
0.8066	1576	0.1998	-	-
0.8071	1577	0.2382	-	-
0.8076	1578	0.1752	-	-
0.8081	1579	0.2791	-	-
0.8086	1580	0.1962	-	-
0.8091	1581	0.2455	-	-
0.8096	1582	0.2088	-	-
0.8101	1583	0.2779	-	-
0.8106	1584	0.2799	-	-
0.8112	1585	0.2245	-	-
0.8117	1586	0.3577	-	-
0.8122	1587	0.3454	-	-
0.8127	1588	0.2465	-	-
0.8132	1589	0.219	-	-
0.8137	1590	0.2016	-	-
0.8142	1591	0.2132	-	-
0.8147	1592	0.293	-	-
0.8153	1593	0.3512	-	-
0.8158	1594	0.299	-	-
0.8163	1595	0.2666	-	-
0.8168	1596	0.2419	-	-
0.8173	1597	0.1873	-	-
0.8178	1598	0.1393	-	-
0.8183	1599	0.1834	-	-
0.8188	1600	0.2424	0.7951	0.9384
0.8193	1601	0.3308	-	-
0.8199	1602	0.389	-	-
0.8204	1603	0.372	-	-
0.8209	1604	0.4278	-	-
0.8214	1605	0.32	-	-
0.8219	1606	0.4131	-	-
0.8224	1607	0.4209	-	-
0.8229	1608	0.3434	-	-
0.8234	1609	0.3183	-	-
0.8240	1610	0.2844	-	-
0.8245	1611	0.3242	-	-
0.8250	1612	0.2182	-	-
0.8255	1613	0.1782	-	-
0.8260	1614	0.2351	-	-
0.8265	1615	0.164	-	-
0.8270	1616	0.2148	-	-
0.8275	1617	0.1739	-	-
0.8280	1618	0.2578	-	-
0.8286	1619	0.2316	-	-
0.8291	1620	0.1719	-	-
0.8296	1621	0.1277	-	-
0.8301	1622	0.16	-	-
0.8306	1623	0.1504	-	-
0.8311	1624	0.1563	-	-
0.8316	1625	0.1938	-	-
0.8321	1626	0.1918	-	-
0.8327	1627	0.2196	-	-
0.8332	1628	0.1967	-	-
0.8337	1629	0.2586	-	-
0.8342	1630	0.1991	-	-
0.8347	1631	0.2869	-	-
0.8352	1632	0.4497	-	-
0.8357	1633	0.3518	-	-
0.8362	1634	0.3113	-	-
0.8367	1635	0.2545	-	-
0.8373	1636	0.3275	-	-
0.8378	1637	0.2098	-	-
0.8383	1638	0.2076	-	-
0.8388	1639	0.218	-	-
0.8393	1640	0.2361	-	-
0.8398	1641	0.2324	-	-
0.8403	1642	0.2245	-	-
0.8408	1643	0.2767	-	-
0.8414	1644	0.2204	-	-
0.8419	1645	0.2158	-	-
0.8424	1646	0.1711	-	-
0.8429	1647	0.2333	-	-
0.8434	1648	0.2089	-	-
0.8439	1649	0.2114	-	-
0.8444	1650	0.2712	-	-
0.8449	1651	0.3705	-	-
0.8454	1652	0.3409	-	-
0.8460	1653	0.3343	-	-
0.8465	1654	0.2467	-	-
0.8470	1655	0.2415	-	-
0.8475	1656	0.2174	-	-
0.8480	1657	0.222	-	-
0.8485	1658	0.1879	-	-
0.8490	1659	0.2461	-	-
0.8495	1660	0.2413	-	-
0.8501	1661	0.1931	-	-
0.8506	1662	0.2744	-	-
0.8511	1663	0.3202	-	-
0.8516	1664	0.3382	-	-
0.8521	1665	0.2325	-	-
0.8526	1666	0.2124	-	-
0.8531	1667	0.2321	-	-
0.8536	1668	0.1406	-	-
0.8541	1669	0.1909	-	-
0.8547	1670	0.162	-	-
0.8552	1671	0.153	-	-
0.8557	1672	0.1104	-	-
0.8562	1673	0.1914	-	-
0.8567	1674	0.1988	-	-
0.8572	1675	0.2261	-	-
0.8577	1676	0.1765	-	-
0.8582	1677	0.1269	-	-
0.8588	1678	0.1017	-	-
0.8593	1679	0.2056	-	-
0.8598	1680	0.1059	-	-
0.8603	1681	0.1901	-	-
0.8608	1682	0.2596	-	-
0.8613	1683	0.3579	-	-
0.8618	1684	0.3703	-	-
0.8623	1685	0.3352	-	-
0.8628	1686	0.3461	-	-
0.8634	1687	0.391	-	-
0.8639	1688	0.2818	-	-
0.8644	1689	0.339	-	-
0.8649	1690	0.3048	-	-
0.8654	1691	0.3521	-	-
0.8659	1692	0.3335	-	-
0.8664	1693	0.2935	-	-
0.8669	1694	0.2318	-	-
0.8675	1695	0.3297	-	-
0.8680	1696	0.2218	-	-
0.8685	1697	0.2533	-	-
0.8690	1698	0.2637	-	-
0.8695	1699	0.2106	-	-
0.8700	1700	0.2082	0.7336	0.9439
0.8705	1701	0.2165	-	-
0.8710	1702	0.1938	-	-
0.8715	1703	0.2059	-	-
0.8721	1704	0.2639	-	-
0.8726	1705	0.2104	-	-
0.8731	1706	0.2204	-	-
0.8736	1707	0.3166	-	-
0.8741	1708	0.3073	-	-
0.8746	1709	0.2907	-	-
0.8751	1710	0.2448	-	-
0.8756	1711	0.2335	-	-
0.8762	1712	0.2861	-	-
0.8767	1713	0.3016	-	-
0.8772	1714	0.3313	-	-
0.8777	1715	0.4154	-	-
0.8782	1716	0.5309	-	-
0.8787	1717	0.4596	-	-
0.8792	1718	0.5752	-	-
0.8797	1719	0.4659	-	-
0.8802	1720	0.4636	-	-
0.8808	1721	0.4933	-	-
0.8813	1722	0.4949	-	-
0.8818	1723	0.4512	-	-
0.8823	1724	0.3858	-	-
0.8828	1725	0.3943	-	-
0.8833	1726	0.3733	-	-
0.8838	1727	0.3156	-	-
0.8843	1728	0.3272	-	-
0.8849	1729	0.2644	-	-
0.8854	1730	0.3572	-	-
0.8859	1731	0.2716	-	-
0.8864	1732	0.3054	-	-
0.8869	1733	0.3884	-	-
0.8874	1734	0.3512	-	-
0.8879	1735	0.2992	-	-
0.8884	1736	0.272	-	-
0.8889	1737	0.293	-	-
0.8895	1738	0.2506	-	-
0.8900	1739	0.3214	-	-
0.8905	1740	0.3026	-	-
0.8910	1741	0.3495	-	-
0.8915	1742	0.3697	-	-
0.8920	1743	0.2535	-	-
0.8925	1744	0.2417	-	-
0.8930	1745	0.2419	-	-
0.8936	1746	0.2106	-	-
0.8941	1747	0.209	-	-
0.8946	1748	0.2587	-	-
0.8951	1749	0.19	-	-
0.8956	1750	0.2744	-	-
0.8961	1751	0.3315	-	-
0.8966	1752	0.3192	-	-
0.8971	1753	0.44	-	-
0.8976	1754	0.3511	-	-
0.8982	1755	0.4535	-	-
0.8987	1756	0.4044	-	-
0.8992	1757	0.3398	-	-
0.8997	1758	0.3599	-	-
0.9002	1759	0.3552	-	-
0.9007	1760	0.3493	-	-
0.9012	1761	0.4215	-	-
0.9017	1762	0.3116	-	-
0.9023	1763	0.3451	-	-
0.9028	1764	0.2985	-	-
0.9033	1765	0.3452	-	-
0.9038	1766	0.2489	-	-
0.9043	1767	0.2266	-	-
0.9048	1768	0.2906	-	-
0.9053	1769	0.3229	-	-
0.9058	1770	0.3264	-	-
0.9063	1771	0.326	-	-
0.9069	1772	0.4848	-	-
0.9074	1773	0.347	-	-
0.9079	1774	0.2467	-	-
0.9084	1775	0.2548	-	-
0.9089	1776	0.4412	-	-
0.9094	1777	0.3089	-	-
0.9099	1778	0.4491	-	-
0.9104	1779	0.4089	-	-
0.9110	1780	0.396	-	-
0.9115	1781	0.4404	-	-
0.9120	1782	0.4197	-	-
0.9125	1783	0.2947	-	-
0.9130	1784	0.2952	-	-
0.9135	1785	0.2941	-	-
0.9140	1786	0.3605	-	-
0.9145	1787	0.3431	-	-
0.9150	1788	0.2934	-	-
0.9156	1789	0.3605	-	-
0.9161	1790	0.3521	-	-
0.9166	1791	0.3997	-	-
0.9171	1792	0.5006	-	-
0.9176	1793	0.354	-	-
0.9181	1794	0.388	-	-
0.9186	1795	0.3895	-	-
0.9191	1796	0.4333	-	-
0.9197	1797	0.4895	-	-
0.9202	1798	0.4691	-	-
0.9207	1799	0.4145	-	-
0.9212	1800	0.3753	0.6788	0.9502
0.9217	1801	0.4704	-	-
0.9222	1802	0.441	-	-
0.9227	1803	0.3925	-	-
0.9232	1804	0.3288	-	-
0.9237	1805	0.346	-	-
0.9243	1806	0.4326	-	-
0.9248	1807	0.4024	-	-
0.9253	1808	0.6031	-	-
0.9258	1809	0.6031	-	-
0.9263	1810	0.5265	-	-
0.9268	1811	0.428	-	-
0.9273	1812	0.4373	-	-
0.9278	1813	0.3541	-	-
0.9284	1814	0.3621	-	-
0.9289	1815	0.365	-	-
0.9294	1816	0.4398	-	-
0.9299	1817	0.398	-	-
0.9304	1818	0.4375	-	-
0.9309	1819	0.3815	-	-
0.9314	1820	0.4396	-	-
0.9319	1821	0.3871	-	-
0.9324	1822	0.4421	-	-
0.9330	1823	0.3979	-	-
0.9335	1824	0.3619	-	-
0.9340	1825	0.4688	-	-
0.9345	1826	0.3951	-	-
0.9350	1827	0.3807	-	-
0.9355	1828	0.3978	-	-
0.9360	1829	0.3519	-	-
0.9365	1830	0.4019	-	-
0.9371	1831	0.3853	-	-
0.9376	1832	0.4026	-	-
0.9381	1833	0.4212	-	-
0.9386	1834	0.5422	-	-
0.9391	1835	0.4808	-	-
0.9396	1836	0.5497	-	-
0.9401	1837	0.5487	-	-
0.9406	1838	0.4814	-	-
0.9411	1839	0.497	-	-
0.9417	1840	0.4491	-	-
0.9422	1841	0.4983	-	-
0.9427	1842	0.4855	-	-
0.9432	1843	0.4256	-	-
0.9437	1844	0.3845	-	-
0.9442	1845	0.3885	-	-
0.9447	1846	0.429	-	-
0.9452	1847	0.5845	-	-
0.9458	1848	0.4565	-	-
0.9463	1849	0.4371	-	-
0.9468	1850	0.5884	-	-
0.9473	1851	0.4054	-	-
0.9478	1852	0.5583	-	-
0.9483	1853	0.4478	-	-
0.9488	1854	0.4341	-	-
0.9493	1855	0.4308	-	-
0.9498	1856	0.503	-	-
0.9504	1857	0.4396	-	-
0.9509	1858	0.5434	-	-
0.9514	1859	0.4144	-	-
0.9519	1860	0.4432	-	-
0.9524	1861	0.3656	-	-
0.9529	1862	0.3972	-	-
0.9534	1863	0.4992	-	-
0.9539	1864	0.3215	-	-
0.9545	1865	0.3741	-	-
0.9550	1866	0.4548	-	-
0.9555	1867	0.5291	-	-
0.9560	1868	0.4826	-	-
0.9565	1869	0.5447	-	-
0.9570	1870	0.6471	-	-
0.9575	1871	0.5302	-	-
0.9580	1872	0.5803	-	-
0.9585	1873	0.6097	-	-
0.9591	1874	0.6494	-	-
0.9596	1875	0.5735	-	-
0.9601	1876	0.4434	-	-
0.9606	1877	0.4713	-	-
0.9611	1878	0.496	-	-
0.9616	1879	0.4067	-	-
0.9621	1880	0.5666	-	-
0.9626	1881	0.46	-	-
0.9632	1882	0.4719	-	-
0.9637	1883	0.5055	-	-
0.9642	1884	0.5013	-	-
0.9647	1885	0.5041	-	-
0.9652	1886	0.444	-	-
0.9657	1887	0.5036	-	-
0.9662	1888	0.4842	-	-
0.9667	1889	0.4947	-	-
0.9672	1890	0.5691	-	-
0.9678	1891	0.6534	-	-
0.9683	1892	0.6255	-	-
0.9688	1893	0.5947	-	-
0.9693	1894	0.5101	-	-
0.9698	1895	0.5423	-	-
0.9703	1896	0.4088	-	-
0.9708	1897	0.5801	-	-
0.9713	1898	0.5051	-	-
0.9719	1899	0.5947	-	-
0.9724	1900	0.5611	0.6374	0.9537
0.9729	1901	0.57	-	-
0.9734	1902	0.5558	-	-
0.9739	1903	0.5192	-	-
0.9744	1904	0.5319	-	-
0.9749	1905	0.5511	-	-
0.9754	1906	0.5118	-	-
0.9759	1907	0.5721	-	-
0.9765	1908	0.6543	-	-
0.9770	1909	0.6707	-	-
0.9775	1910	0.5997	-	-
0.9780	1911	0.5712	-	-
0.9785	1912	0.6574	-	-
0.9790	1913	0.5981	-	-
0.9795	1914	0.7499	-	-
0.9800	1915	0.738	-	-
0.9806	1916	0.6731	-	-
0.9811	1917	0.7481	-	-
0.9816	1918	0.7995	-	-
0.9821	1919	0.6295	-	-
0.9826	1920	0.6599	-	-
0.9831	1921	0.5386	-	-
0.9836	1922	0.6293	-	-
0.9841	1923	0.5511	-	-
0.9846	1924	0.5737	-	-
0.9852	1925	0.5261	-	-
0.9857	1926	0.5196	-	-
0.9862	1927	0.5886	-	-
0.9867	1928	0.6642	-	-
0.9872	1929	0.5713	-	-
0.9877	1930	0.5396	-	-
0.9882	1931	0.4805	-	-
0.9887	1932	0.5228	-	-
0.9893	1933	0.6495	-	-
0.9898	1934	0.5876	-	-
0.9903	1935	0.5542	-	-
0.9908	1936	0.6024	-	-
0.9913	1937	0.5677	-	-
0.9918	1938	0.6009	-	-
0.9923	1939	0.5893	-	-
0.9928	1940	0.461	-	-
0.9933	1941	0.4467	-	-
0.9939	1942	0.5059	-	-
0.9944	1943	0.6037	-	-
0.9949	1944	0.3525	-	-
0.9954	1945	0.5509	-	-
0.9959	1946	0.4277	-	-
0.9964	1947	0.344	-	-
0.9969	1948	0.4039	-	-
0.9974	1949	0.3924	-	-
0.9980	1950	0.3328	-	-
0.9985	1951	0.3756	-	-
0.9990	1952	0.3523	-	-
0.9995	1953	0.6408	-	-
1.0	1954	0.392	-	0.9587

Framework Versions

Python: 3.10.12
Sentence Transformers: 3.3.1
Transformers: 4.48.0.dev0
PyTorch: 2.1.0+cu118
Accelerate: 1.2.1
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",
}

MatryoshkaLoss

@misc{kusupati2024matryoshka,
    title={Matryoshka Representation Learning},
    author={Aditya Kusupati and Gantavya Bhatt and Aniket Rege and Matthew Wallingford and Aditya Sinha and Vivek Ramanujan and William Howard-Snyder and Kaifeng Chen and Sham Kakade and Prateek Jain and Ali Farhadi},
    year={2024},
    eprint={2205.13147},
    archivePrefix={arXiv},
    primaryClass={cs.LG}
}

MultipleNegativesRankingLoss

@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}
}