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language:
  - en
license: apache-2.0
tags:
  - sentence-transformers
  - sentence-similarity
  - feature-extraction
  - dense
  - generated_from_trainer
  - dataset_size:21753116
  - loss:CoSENTLoss
base_model: sentence-transformers/all-MiniLM-L6-v2
widget:
  - source_sentence: chicken mushroom pasta
    sentences:
      - non sticky slime
      - naturallooking foundation
      - ruffles sleeves dress
  - source_sentence: bottoms
    sentences:
      - smoothes face toner
      - makeup mirror
      - hyaluronic acid lips plumper
  - source_sentence: twist top
    sentences:
      - wood bookcase
      - cocktail sauce sandwich
      - tunic top
  - source_sentence: headband
    sentences:
      - glass tissue box
      - kids room plate
      - durable backpack
  - source_sentence: cheddar cheese beef panini
    sentences:
      - compact tissue box
      - honey pudding
      - pesto sauce sourdough toast
datasets:
  - KhaledReda/pairs_three_scores_v14_tag_sim_synonyms_added
pipeline_tag: sentence-similarity
library_name: sentence-transformers

all-MiniLM-L6-v18-pair_score

This is a sentence-transformers model finetuned from sentence-transformers/all-MiniLM-L6-v2 on the pairs_three_scores_v14_tag_sim_synonyms_added dataset. It maps sentences & paragraphs to a 384-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: sentence-transformers/all-MiniLM-L6-v2
Maximum Sequence Length: 256 tokens
Output Dimensionality: 384 dimensions
Similarity Function: Cosine Similarity
Training Dataset:
- pairs_three_scores_v14_tag_sim_synonyms_added
Language: en
License: apache-2.0

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': 'BertModel'})
  (1): Pooling({'word_embedding_dimension': 384, '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 = [
    'cheddar cheese beef panini',
    'pesto sauce sourdough toast',
    'compact tissue box',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 384]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities)
# tensor([[1.0000, 0.5937, 0.2819],
#         [0.5937, 1.0000, 0.1696],
#         [0.2819, 0.1696, 1.0000]])

Training Details

Training Dataset

pairs_three_scores_v14_tag_sim_synonyms_added

Dataset: pairs_three_scores_v14_tag_sim_synonyms_added at 50d178a
Size: 21,753,116 training samples
Columns: sentence1, sentence2, and score
Approximate statistics based on the first 1000 samples:
sentence1 sentence2 score
type string string float
details
min: 3 tokens
mean: 5.83 tokens
max: 84 tokens

min: 3 tokens
mean: 6.15 tokens
max: 109 tokens

min: 0.14
mean: 0.3
max: 0.91
Samples:

sentence1 sentence2 score

spicy sauce handcrafted candle holder 0.18

mixed vegetable skewer streamlined dessert fork 0.27

classic pullover cream hoodie 0.54

	sentence1	sentence2	score
type	string	string	float
details	min: 3 tokens mean: 5.83 tokens max: 84 tokens	min: 3 tokens mean: 6.15 tokens max: 109 tokens	min: 0.14 mean: 0.3 max: 0.91

sentence1	sentence2	score
`spicy sauce`	`handcrafted candle holder`	`0.18`
`mixed vegetable skewer`	`streamlined dessert fork`	`0.27`
`classic pullover`	`cream hoodie`	`0.54`

Loss: CoSENTLoss with these parameters:

{
    "scale": 20.0,
    "similarity_fct": "pairwise_cos_sim"
}

Evaluation Dataset

pairs_three_scores_v14_tag_sim_synonyms_added

Dataset: pairs_three_scores_v14_tag_sim_synonyms_added at 50d178a
Size: 109,313 evaluation samples
Columns: sentence1, sentence2, and score
Approximate statistics based on the first 1000 samples:
sentence1 sentence2 score
type string string float
details
min: 3 tokens
mean: 5.56 tokens
max: 42 tokens

min: 3 tokens
mean: 5.92 tokens
max: 64 tokens

min: 0.14
mean: 0.29
max: 1.0
Samples:

sentence1 sentence2 score

hair mist absorbent towels 0.22

cheddar cheese beef panini pesto sauce sourdough toast 0.77

fried risotto balls blackberryscent lipstick 0.2

	sentence1	sentence2	score
type	string	string	float
details	min: 3 tokens mean: 5.56 tokens max: 42 tokens	min: 3 tokens mean: 5.92 tokens max: 64 tokens	min: 0.14 mean: 0.29 max: 1.0

sentence1	sentence2	score
`hair mist`	`absorbent towels`	`0.22`
`cheddar cheese beef panini`	`pesto sauce sourdough toast`	`0.77`
`fried risotto balls`	`blackberryscent lipstick`	`0.2`

Loss: CoSENTLoss with these parameters:

{
    "scale": 20.0,
    "similarity_fct": "pairwise_cos_sim"
}

Training Hyperparameters

Non-Default Hyperparameters

eval_strategy: epoch
per_device_train_batch_size: 128
per_device_eval_batch_size: 128
learning_rate: 2e-05
num_train_epochs: 11
warmup_ratio: 0.1
fp16: True

All Hyperparameters

Click to expand

overwrite_output_dir: False
do_predict: False
eval_strategy: epoch
prediction_loss_only: True
per_device_train_batch_size: 128
per_device_eval_batch_size: 128
per_gpu_train_batch_size: None
per_gpu_eval_batch_size: None
gradient_accumulation_steps: 1
eval_accumulation_steps: None
torch_empty_cache_steps: None
learning_rate: 2e-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: 11
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: 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
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: False
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: False
prompts: None
batch_sampler: batch_sampler
multi_dataset_batch_sampler: proportional
router_mapping: {}
learning_rate_mapping: {}

Training Logs

Click to expand

Epoch	Step	Training Loss	Validation Loss
9.0005	1529600	7.4575	-
9.0010	1529700	7.4576	-
9.0016	1529800	7.4971	-
9.0022	1529900	7.5132	-
9.0028	1530000	7.4648	-
9.0034	1530100	7.4905	-
9.0040	1530200	7.5733	-
9.0046	1530300	7.5281	-
9.0052	1530400	7.4817	-
9.0057	1530500	7.4834	-
9.0063	1530600	7.442	-
9.0069	1530700	7.476	-
9.0075	1530800	7.5255	-
9.0081	1530900	7.4736	-
9.0087	1531000	7.5258	-
9.0093	1531100	7.5166	-
9.0099	1531200	7.4144	-
9.0105	1531300	7.4737	-
9.0110	1531400	7.48	-
9.0116	1531500	7.5389	-
9.0122	1531600	7.5052	-
9.0128	1531700	7.4777	-
9.0134	1531800	7.4089	-
9.0140	1531900	7.4777	-
9.0146	1532000	7.5193	-
9.0152	1532100	7.4535	-
9.0158	1532200	7.4444	-
9.0163	1532300	7.4288	-
9.0169	1532400	7.4524	-
9.0175	1532500	7.45	-
9.0181	1532600	7.4308	-
9.0187	1532700	7.4452	-
9.0193	1532800	7.5145	-
9.0199	1532900	7.5785	-
9.0205	1533000	7.4514	-
9.0210	1533100	7.489	-
9.0216	1533200	7.5314	-
9.0222	1533300	7.4808	-
9.0228	1533400	7.511	-
9.0234	1533500	7.5063	-
9.0240	1533600	7.4555	-
9.0246	1533700	7.4961	-
9.0252	1533800	7.544	-
9.0258	1533900	7.4404	-
9.0263	1534000	7.5264	-
9.0269	1534100	7.4451	-
9.0275	1534200	7.5247	-
9.0281	1534300	7.5289	-
9.0287	1534400	7.5087	-
9.0293	1534500	7.4656	-
9.0299	1534600	7.5326	-
9.0305	1534700	7.5783	-
9.0311	1534800	7.5015	-
9.0316	1534900	7.5068	-
9.0322	1535000	7.4865	-
9.0328	1535100	7.498	-
9.0334	1535200	7.4484	-
9.0340	1535300	7.5054	-
9.0346	1535400	7.4975	-
9.0352	1535500	7.5214	-
9.0358	1535600	7.4596	-
9.0363	1535700	7.4338	-
9.0369	1535800	7.4881	-
9.0375	1535900	7.4537	-
9.0381	1536000	7.3932	-
9.0387	1536100	7.4455	-
9.0393	1536200	7.4675	-
9.0399	1536300	7.5188	-
9.0405	1536400	7.466	-
9.0411	1536500	7.4742	-
9.0416	1536600	7.4963	-
9.0422	1536700	7.5022	-
9.0428	1536800	7.5011	-
9.0434	1536900	7.5352	-
9.0440	1537000	7.4915	-
9.0446	1537100	7.4291	-
9.0452	1537200	7.4289	-
9.0458	1537300	7.5002	-
9.0463	1537400	7.4723	-
9.0469	1537500	7.5261	-
9.0475	1537600	7.4838	-
9.0481	1537700	7.4433	-
9.0487	1537800	7.402	-
9.0493	1537900	7.5	-
9.0499	1538000	7.485	-
9.0505	1538100	7.5079	-
9.0511	1538200	7.4947	-
9.0516	1538300	7.5682	-
9.0522	1538400	7.4281	-
9.0528	1538500	7.4705	-
9.0534	1538600	7.5778	-
9.0540	1538700	7.5076	-
9.0546	1538800	7.4694	-
9.0552	1538900	7.4362	-
9.0558	1539000	7.4438	-
9.0564	1539100	7.5062	-
9.0569	1539200	7.5581	-
9.0575	1539300	7.5001	-
9.0581	1539400	7.4667	-
9.0587	1539500	7.4636	-
9.0593	1539600	7.4455	-
9.0599	1539700	7.4462	-
9.0605	1539800	7.4446	-
9.0611	1539900	7.5377	-
9.0616	1540000	7.4709	-
9.0622	1540100	7.4325	-
9.0628	1540200	7.4906	-
9.0634	1540300	7.4995	-
9.0640	1540400	7.5071	-
9.0646	1540500	7.448	-
9.0652	1540600	7.5788	-
9.0658	1540700	7.4836	-
9.0664	1540800	7.4174	-
9.0669	1540900	7.4931	-
9.0675	1541000	7.4476	-
9.0681	1541100	7.4608	-
9.0687	1541200	7.4774	-
9.0693	1541300	7.484	-
9.0699	1541400	7.4486	-
9.0705	1541500	7.5266	-
9.0711	1541600	7.4696	-
9.0717	1541700	7.4799	-
9.0722	1541800	7.5643	-
9.0728	1541900	7.525	-
9.0734	1542000	7.4709	-
9.0740	1542100	7.4977	-
9.0746	1542200	7.47	-
9.0752	1542300	7.5441	-
9.0758	1542400	7.4418	-
9.0764	1542500	7.5227	-
9.0769	1542600	7.4981	-
9.0775	1542700	7.4649	-
9.0781	1542800	7.4765	-
9.0787	1542900	7.4662	-
9.0793	1543000	7.5267	-
9.0799	1543100	7.5157	-
9.0805	1543200	7.5032	-
9.0811	1543300	7.5213	-
9.0817	1543400	7.5019	-
9.0822	1543500	7.4592	-
9.0828	1543600	7.4796	-
9.0834	1543700	7.5038	-
9.0840	1543800	7.5032	-
9.0846	1543900	7.5028	-
9.0852	1544000	7.4586	-
9.0858	1544100	7.4935	-
9.0864	1544200	7.5032	-
9.0870	1544300	7.4779	-
9.0875	1544400	7.4775	-
9.0881	1544500	7.5176	-
9.0887	1544600	7.4822	-
9.0893	1544700	7.5078	-
9.0899	1544800	7.4165	-
9.0905	1544900	7.464	-
9.0911	1545000	7.5294	-
9.0917	1545100	7.4474	-
9.0922	1545200	7.4589	-
9.0928	1545300	7.4816	-
9.0934	1545400	7.4296	-
9.0940	1545500	7.4846	-
9.0946	1545600	7.5677	-
9.0952	1545700	7.4539	-
9.0958	1545800	7.5139	-
9.0964	1545900	7.5209	-
9.0970	1546000	7.4638	-
9.0975	1546100	7.4355	-
9.0981	1546200	7.448	-
9.0987	1546300	7.5032	-
9.0993	1546400	7.4467	-
9.0999	1546500	7.4798	-
9.1005	1546600	7.4563	-
9.1011	1546700	7.524	-
9.1017	1546800	7.4402	-
9.1022	1546900	7.4839	-
9.1028	1547000	7.4656	-
9.1034	1547100	7.6082	-
9.1040	1547200	7.4546	-
9.1046	1547300	7.5062	-
9.1052	1547400	7.5168	-
9.1058	1547500	7.4964	-
9.1064	1547600	7.5599	-
9.1070	1547700	7.4907	-
9.1075	1547800	7.4641	-
9.1081	1547900	7.4788	-
9.1087	1548000	7.4634	-
9.1093	1548100	7.5007	-
9.1099	1548200	7.5447	-
9.1105	1548300	7.541	-
9.1111	1548400	7.4945	-
9.1117	1548500	7.5134	-
9.1123	1548600	7.4585	-
9.1128	1548700	7.4536	-
9.1134	1548800	7.481	-
9.1140	1548900	7.4771	-
9.1146	1549000	7.5158	-
9.1152	1549100	7.5226	-
9.1158	1549200	7.4824	-
9.1164	1549300	7.4685	-
9.1170	1549400	7.5222	-
9.1175	1549500	7.4844	-
9.1181	1549600	7.4828	-
9.1187	1549700	7.5251	-
9.1193	1549800	7.4587	-
9.1199	1549900	7.5564	-
9.1205	1550000	7.4969	-
9.1211	1550100	7.4522	-
9.1217	1550200	7.4815	-
9.1223	1550300	7.4346	-
9.1228	1550400	7.4465	-
9.1234	1550500	7.3931	-
9.1240	1550600	7.4456	-
9.1246	1550700	7.4237	-
9.1252	1550800	7.4678	-
9.1258	1550900	7.4905	-
9.1264	1551000	7.5899	-
9.1270	1551100	7.5164	-
9.1276	1551200	7.5578	-
9.1281	1551300	7.496	-
9.1287	1551400	7.4626	-
9.1293	1551500	7.4679	-
9.1299	1551600	7.4857	-
9.1305	1551700	7.4668	-
9.1311	1551800	7.4541	-
9.1317	1551900	7.4526	-
9.1323	1552000	7.5064	-
9.1328	1552100	7.5138	-
9.1334	1552200	7.5028	-
9.1340	1552300	7.499	-
9.1346	1552400	7.4994	-
9.1352	1552500	7.49	-
9.1358	1552600	7.4846	-
9.1364	1552700	7.5002	-
9.1370	1552800	7.4653	-
9.1376	1552900	7.5175	-
9.1381	1553000	7.5418	-
9.1387	1553100	7.4857	-
9.1393	1553200	7.4723	-
9.1399	1553300	7.4363	-
9.1405	1553400	7.4327	-
9.1411	1553500	7.4704	-
9.1417	1553600	7.5378	-
9.1423	1553700	7.5706	-
9.1429	1553800	7.5429	-
9.1434	1553900	7.4627	-
9.1440	1554000	7.4711	-
9.1446	1554100	7.4667	-
9.1452	1554200	7.4414	-
9.1458	1554300	7.5106	-
9.1464	1554400	7.4891	-
9.1470	1554500	7.524	-
9.1476	1554600	7.4525	-
9.1481	1554700	7.4776	-
9.1487	1554800	7.4829	-
9.1493	1554900	7.5354	-
9.1499	1555000	7.4745	-
9.1505	1555100	7.5138	-
9.1511	1555200	7.4425	-
9.1517	1555300	7.4427	-
9.1523	1555400	7.4583	-
9.1529	1555500	7.5693	-
9.1534	1555600	7.4697	-
9.1540	1555700	7.431	-
9.1546	1555800	7.5397	-
9.1552	1555900	7.4802	-
9.1558	1556000	7.4754	-
9.1564	1556100	7.5004	-
9.1570	1556200	7.4233	-
9.1576	1556300	7.4704	-
9.1581	1556400	7.522	-
9.1587	1556500	7.4112	-
9.1593	1556600	7.4403	-
9.1599	1556700	7.463	-
9.1605	1556800	7.4376	-
9.1611	1556900	7.4931	-
9.1617	1557000	7.5043	-
9.1623	1557100	7.4923	-
9.1629	1557200	7.4307	-
9.1634	1557300	7.4359	-
9.1640	1557400	7.4228	-
9.1646	1557500	7.5087	-
9.1652	1557600	7.5359	-
9.1658	1557700	7.5176	-
9.1664	1557800	7.4991	-
9.1670	1557900	7.5488	-
9.1676	1558000	7.5106	-
9.1682	1558100	7.4653	-
9.1687	1558200	7.4833	-
9.1693	1558300	7.5208	-
9.1699	1558400	7.5037	-
9.1705	1558500	7.4182	-
9.1711	1558600	7.4858	-
9.1717	1558700	7.526	-
9.1723	1558800	7.5007	-
9.1729	1558900	7.4434	-
9.1734	1559000	7.5489	-
9.1740	1559100	7.4372	-
9.1746	1559200	7.4702	-
9.1752	1559300	7.4261	-
9.1758	1559400	7.4766	-
9.1764	1559500	7.5284	-
9.1770	1559600	7.5718	-
9.1776	1559700	7.476	-
9.1782	1559800	7.4654	-
9.1787	1559900	7.4637	-
9.1793	1560000	7.4959	-
9.1799	1560100	7.4768	-
9.1805	1560200	7.4686	-
9.1811	1560300	7.4456	-
9.1817	1560400	7.4678	-
9.1823	1560500	7.4865	-
9.1829	1560600	7.4743	-
9.1835	1560700	7.5322	-
9.1840	1560800	7.4348	-
9.1846	1560900	7.4631	-
9.1852	1561000	7.4328	-
9.1858	1561100	7.5636	-
9.1864	1561200	7.544	-
9.1870	1561300	7.4823	-
9.1876	1561400	7.4492	-
9.1882	1561500	7.441	-
9.1887	1561600	7.4925	-
9.1893	1561700	7.4438	-
9.1899	1561800	7.4794	-
9.1905	1561900	7.4852	-
9.1911	1562000	7.5294	-
9.1917	1562100	7.4783	-
9.1923	1562200	7.5197	-
9.1929	1562300	7.5688	-
9.1935	1562400	7.4762	-
9.1940	1562500	7.4567	-
9.1946	1562600	7.4728	-
9.1952	1562700	7.5219	-
9.1958	1562800	7.5069	-
9.1964	1562900	7.4769	-
9.1970	1563000	7.5007	-
9.1976	1563100	7.4819	-
9.1982	1563200	7.4686	-
9.1988	1563300	7.4554	-
9.1993	1563400	7.4608	-
9.1999	1563500	7.5154	-
9.2005	1563600	7.4841	-
9.2011	1563700	7.4414	-
9.2017	1563800	7.548	-
9.2023	1563900	7.4736	-
9.2029	1564000	7.4758	-
9.2035	1564100	7.4278	-
9.2040	1564200	7.4661	-
9.2046	1564300	7.4468	-
9.2052	1564400	7.4393	-
9.2058	1564500	7.5268	-
9.2064	1564600	7.4682	-
9.2070	1564700	7.4125	-
9.2076	1564800	7.4982	-
9.2082	1564900	7.4652	-
9.2088	1565000	7.4527	-
9.2093	1565100	7.5484	-
9.2099	1565200	7.4738	-
9.2105	1565300	7.4455	-
9.2111	1565400	7.4397	-
9.2117	1565500	7.4183	-
9.2123	1565600	7.5401	-
9.2129	1565700	7.5652	-
9.2135	1565800	7.4587	-
9.2140	1565900	7.4284	-
9.2146	1566000	7.4997	-
9.2152	1566100	7.4827	-
9.2158	1566200	7.4396	-
9.2164	1566300	7.4194	-
9.2170	1566400	7.5327	-
9.2176	1566500	7.5085	-
9.2182	1566600	7.4994	-
9.2188	1566700	7.5032	-
9.2193	1566800	7.5172	-
9.2199	1566900	7.4739	-
9.2205	1567000	7.5206	-
9.2211	1567100	7.4215	-
9.2217	1567200	7.5052	-
9.2223	1567300	7.4886	-
9.2229	1567400	7.4987	-
9.2235	1567500	7.5239	-
9.2241	1567600	7.5155	-
9.2246	1567700	7.4613	-
9.2252	1567800	7.4924	-
9.2258	1567900	7.4105	-
9.2264	1568000	7.5656	-
9.2270	1568100	7.4795	-
9.2276	1568200	7.5864	-
9.2282	1568300	7.4259	-
9.2288	1568400	7.4793	-
9.2293	1568500	7.5049	-
9.2299	1568600	7.5348	-
9.2305	1568700	7.441	-
9.2311	1568800	7.494	-
9.2317	1568900	7.5633	-
9.2323	1569000	7.4662	-
9.2329	1569100	7.4452	-
9.2335	1569200	7.5097	-
9.2341	1569300	7.4981	-
9.2346	1569400	7.5	-
9.2352	1569500	7.4649	-
9.2358	1569600	7.5605	-
9.2364	1569700	7.5292	-
9.2370	1569800	7.5514	-
9.2376	1569900	7.4907	-
9.2382	1570000	7.5069	-
9.2388	1570100	7.4372	-
9.2394	1570200	7.4941	-
9.2399	1570300	7.5203	-
9.2405	1570400	7.4175	-
9.2411	1570500	7.4873	-
9.2417	1570600	7.4597	-
9.2423	1570700	7.4626	-
9.2429	1570800	7.5116	-
9.2435	1570900	7.4699	-
9.2441	1571000	7.4417	-
9.2446	1571100	7.497	-
9.2452	1571200	7.5654	-
9.2458	1571300	7.4828	-
9.2464	1571400	7.4658	-
9.2470	1571500	7.4636	-
9.2476	1571600	7.5474	-
9.2482	1571700	7.4033	-
9.2488	1571800	7.4663	-
9.2494	1571900	7.5463	-
9.2499	1572000	7.4743	-
9.2505	1572100	7.4645	-
9.2511	1572200	7.4425	-
9.2517	1572300	7.4643	-
9.2523	1572400	7.5876	-
9.2529	1572500	7.4556	-
9.2535	1572600	7.5329	-
9.2541	1572700	7.4602	-
9.2546	1572800	7.5014	-
9.2552	1572900	7.4775	-
9.2558	1573000	7.5153	-
9.2564	1573100	7.5099	-
9.2570	1573200	7.5637	-
9.2576	1573300	7.4579	-
9.2582	1573400	7.5594	-
9.2588	1573500	7.4792	-
9.2594	1573600	7.4964	-
9.2599	1573700	7.4118	-
9.2605	1573800	7.5015	-
9.2611	1573900	7.4882	-
9.2617	1574000	7.4724	-
9.2623	1574100	7.5034	-
9.2629	1574200	7.4888	-
9.2635	1574300	7.4501	-
9.2641	1574400	7.5062	-
9.2647	1574500	7.4797	-
9.2652	1574600	7.5109	-
9.2658	1574700	7.3962	-
9.2664	1574800	7.4672	-
9.2670	1574900	7.4654	-
9.2676	1575000	7.4519	-
9.2682	1575100	7.4383	-
9.2688	1575200	7.4911	-
9.2694	1575300	7.5166	-
9.2699	1575400	7.4742	-
9.2705	1575500	7.5347	-
9.2711	1575600	7.5015	-
9.2717	1575700	7.4587	-
9.2723	1575800	7.4443	-
9.2729	1575900	7.4733	-
9.2735	1576000	7.5138	-
9.2741	1576100	7.571	-
9.2747	1576200	7.5605	-
9.2752	1576300	7.4592	-
9.2758	1576400	7.4807	-
9.2764	1576500	7.4929	-
9.2770	1576600	7.4778	-
9.2776	1576700	7.4489	-
9.2782	1576800	7.4933	-
9.2788	1576900	7.4503	-
9.2794	1577000	7.4589	-
9.2800	1577100	7.4828	-
9.2805	1577200	7.457	-
9.2811	1577300	7.5503	-
9.2817	1577400	7.4597	-
9.2823	1577500	7.4304	-
9.2829	1577600	7.5042	-
9.2835	1577700	7.4199	-
9.2841	1577800	7.4992	-
9.2847	1577900	7.4836	-
9.2852	1578000	7.5385	-
9.2858	1578100	7.5927	-
9.2864	1578200	7.5068	-
9.2870	1578300	7.5313	-
9.2876	1578400	7.5194	-
9.2882	1578500	7.6177	-
9.2888	1578600	7.4364	-
9.2894	1578700	7.4733	-
9.2900	1578800	7.4913	-
9.2905	1578900	7.5051	-
9.2911	1579000	7.5204	-
9.2917	1579100	7.529	-
9.2923	1579200	7.4739	-
9.2929	1579300	7.5085	-
9.2935	1579400	7.4508	-
9.2941	1579500	7.4819	-
9.2947	1579600	7.5209	-
9.2953	1579700	7.4207	-
9.2958	1579800	7.5265	-
9.2964	1579900	7.4608	-
9.2970	1580000	7.4881	-
9.2976	1580100	7.4612	-
9.2982	1580200	7.5226	-
9.2988	1580300	7.4916	-
9.2994	1580400	7.5056	-
9.3000	1580500	7.5352	-
9.3005	1580600	7.4798	-
9.3011	1580700	7.4766	-
9.3017	1580800	7.5385	-
9.3023	1580900	7.4336	-
9.3029	1581000	7.4901	-
9.3035	1581100	7.5125	-
9.3041	1581200	7.516	-
9.3047	1581300	7.4256	-
9.3053	1581400	7.4572	-
9.3058	1581500	7.4969	-
9.3064	1581600	7.4728	-
9.3070	1581700	7.4836	-
9.3076	1581800	7.5267	-
9.3082	1581900	7.4649	-
9.3088	1582000	7.4219	-
9.3094	1582100	7.4902	-
9.3100	1582200	7.4481	-
9.3105	1582300	7.4693	-
9.3111	1582400	7.4878	-
9.3117	1582500	7.5321	-
9.3123	1582600	7.4101	-
9.3129	1582700	7.4782	-
9.3135	1582800	7.5282	-
9.3141	1582900	7.4734	-
9.3147	1583000	7.4708	-
9.3153	1583100	7.5572	-
9.3158	1583200	7.5695	-
9.3164	1583300	7.4839	-
9.3170	1583400	7.4981	-
9.3176	1583500	7.5015	-
9.3182	1583600	7.4693	-
9.3188	1583700	7.5363	-
9.3194	1583800	7.465	-
9.3200	1583900	7.5422	-
9.3206	1584000	7.4587	-
9.3211	1584100	7.488	-
9.3217	1584200	7.5009	-
9.3223	1584300	7.5217	-
9.3229	1584400	7.5708	-
9.3235	1584500	7.4304	-
9.3241	1584600	7.5572	-
9.3247	1584700	7.5027	-
9.3253	1584800	7.5222	-
9.3258	1584900	7.5076	-
9.3264	1585000	7.5031	-
9.3270	1585100	7.5587	-
9.3276	1585200	7.4951	-
9.3282	1585300	7.4557	-
9.3288	1585400	7.4818	-
9.3294	1585500	7.4906	-
9.3300	1585600	7.5047	-
9.3306	1585700	7.5275	-
9.3311	1585800	7.5156	-
9.3317	1585900	7.5031	-
9.3323	1586000	7.4716	-
9.3329	1586100	7.4363	-
9.3335	1586200	7.523	-
9.3341	1586300	7.4923	-
9.3347	1586400	7.4408	-
9.3353	1586500	7.4668	-
9.3359	1586600	7.4858	-
9.3364	1586700	7.5037	-
9.3370	1586800	7.4877	-
9.3376	1586900	7.4921	-
9.3382	1587000	7.5005	-
9.3388	1587100	7.4999	-
9.3394	1587200	7.4829	-
9.3400	1587300	7.4497	-
9.3406	1587400	7.4843	-
9.3411	1587500	7.4587	-
9.3417	1587600	7.4791	-
9.3423	1587700	7.5299	-
9.3429	1587800	7.5159	-
9.3435	1587900	7.482	-
9.3441	1588000	7.5845	-
9.3447	1588100	7.4583	-
9.3453	1588200	7.5192	-
9.3459	1588300	7.4833	-
9.3464	1588400	7.4883	-
9.3470	1588500	7.4142	-
9.3476	1588600	7.5419	-
9.3482	1588700	7.4852	-
9.3488	1588800	7.552	-
9.3494	1588900	7.5222	-
9.3500	1589000	7.5282	-
9.3506	1589100	7.4188	-
9.3512	1589200	7.4103	-
9.3517	1589300	7.4941	-
9.3523	1589400	7.4598	-
9.3529	1589500	7.4986	-
9.3535	1589600	7.4741	-
9.3541	1589700	7.4438	-
9.3547	1589800	7.4398	-
9.3553	1589900	7.4734	-
9.3559	1590000	7.5015	-
9.3564	1590100	7.4687	-
9.3570	1590200	7.4317	-
9.3576	1590300	7.4894	-
9.3582	1590400	7.5283	-
9.3588	1590500	7.4529	-
9.3594	1590600	7.5582	-
9.3600	1590700	7.4804	-
9.3606	1590800	7.526	-
9.3612	1590900	7.4226	-
9.3617	1591000	7.5258	-
9.3623	1591100	7.5034	-
9.3629	1591200	7.4997	-
9.3635	1591300	7.4305	-
9.3641	1591400	7.477	-
9.3647	1591500	7.4279	-
9.3653	1591600	7.4453	-
9.3659	1591700	7.5194	-
9.3664	1591800	7.4195	-
9.3670	1591900	7.4576	-
9.3676	1592000	7.4824	-
9.3682	1592100	7.5879	-
9.3688	1592200	7.4274	-
9.3694	1592300	7.4332	-
9.3700	1592400	7.4944	-
9.3706	1592500	7.4618	-
9.3712	1592600	7.5243	-
9.3717	1592700	7.5057	-
9.3723	1592800	7.5165	-
9.3729	1592900	7.4594	-
9.3735	1593000	7.4059	-
9.3741	1593100	7.5785	-
9.3747	1593200	7.4836	-
9.3753	1593300	7.5283	-
9.3759	1593400	7.5369	-
9.3765	1593500	7.5201	-
9.3770	1593600	7.4816	-
9.3776	1593700	7.5051	-
9.3782	1593800	7.423	-
9.3788	1593900	7.4416	-
9.3794	1594000	7.4428	-
9.3800	1594100	7.4699	-
9.3806	1594200	7.4303	-
9.3812	1594300	7.4769	-
9.3817	1594400	7.4672	-
9.3823	1594500	7.5441	-
9.3829	1594600	7.5543	-
9.3835	1594700	7.4353	-
9.3841	1594800	7.5009	-
9.3847	1594900	7.4681	-
9.3853	1595000	7.4664	-
9.3859	1595100	7.5274	-
9.3865	1595200	7.4741	-
9.3870	1595300	7.4226	-
9.3876	1595400	7.551	-
9.3882	1595500	7.4996	-
9.3888	1595600	7.5031	-
9.3894	1595700	7.4855	-
9.3900	1595800	7.5009	-
9.3906	1595900	7.4929	-
9.3912	1596000	7.4204	-
9.3918	1596100	7.459	-
9.3923	1596200	7.4755	-
9.3929	1596300	7.4406	-
9.3935	1596400	7.46	-
9.3941	1596500	7.4897	-
9.3947	1596600	7.5052	-
9.3953	1596700	7.4373	-
9.3959	1596800	7.4732	-
9.3965	1596900	7.4704	-
9.3970	1597000	7.5899	-
9.3976	1597100	7.4833	-
9.3982	1597200	7.5733	-
9.3988	1597300	7.6023	-
9.3994	1597400	7.5246	-
9.4000	1597500	7.5238	-
9.4006	1597600	7.4447	-
9.4012	1597700	7.5154	-
9.4018	1597800	7.4971	-
9.4023	1597900	7.4893	-
9.4029	1598000	7.4909	-
9.4035	1598100	7.4636	-
9.4041	1598200	7.4949	-
9.4047	1598300	7.5401	-
9.4053	1598400	7.4574	-
9.4059	1598500	7.4814	-
9.4065	1598600	7.512	-
9.4071	1598700	7.4789	-
9.4076	1598800	7.5102	-
9.4082	1598900	7.5484	-
9.4088	1599000	7.5668	-
9.4094	1599100	7.4927	-
9.4100	1599200	7.4889	-
9.4106	1599300	7.4211	-
9.4112	1599400	7.513	-
9.4118	1599500	7.4693	-
9.4123	1599600	7.5061	-
9.4129	1599700	7.5059	-
9.4135	1599800	7.4809	-
9.4141	1599900	7.5413	-
9.4147	1600000	7.4115	-
9.4153	1600100	7.5512	-
9.4159	1600200	7.4916	-
9.4165	1600300	7.5267	-
9.4171	1600400	7.4749	-
9.4176	1600500	7.5201	-
9.4182	1600600	7.4836	-
9.4188	1600700	7.4664	-
9.4194	1600800	7.513	-
9.4200	1600900	7.4402	-
9.4206	1601000	7.4419	-
9.4212	1601100	7.4331	-
9.4218	1601200	7.4559	-
9.4223	1601300	7.4373	-
9.4229	1601400	7.4604	-
9.4235	1601500	7.4969	-
9.4241	1601600	7.456	-
9.4247	1601700	7.5913	-
9.4253	1601800	7.4537	-
9.4259	1601900	7.499	-
9.4265	1602000	7.4996	-
9.4271	1602100	7.5826	-
9.4276	1602200	7.4862	-
9.4282	1602300	7.5321	-
9.4288	1602400	7.4982	-
9.4294	1602500	7.4634	-
9.4300	1602600	7.499	-
9.4306	1602700	7.5057	-
9.4312	1602800	7.4561	-
9.4318	1602900	7.4515	-
9.4324	1603000	7.4012	-
9.4329	1603100	7.4695	-
9.4335	1603200	7.4766	-
9.4341	1603300	7.4585	-
9.4347	1603400	7.4527	-
9.4353	1603500	7.4602	-
9.4359	1603600	7.5144	-
9.4365	1603700	7.4618	-
9.4371	1603800	7.5143	-
9.4376	1603900	7.4702	-
9.4382	1604000	7.4686	-
9.4388	1604100	7.464	-
9.4394	1604200	7.5052	-
9.4400	1604300	7.4463	-
9.4406	1604400	7.451	-
9.4412	1604500	7.5031	-
9.4418	1604600	7.517	-
9.4424	1604700	7.499	-
9.4429	1604800	7.5235	-
9.4435	1604900	7.4221	-
9.4441	1605000	7.5327	-
9.4447	1605100	7.4609	-
9.4453	1605200	7.5129	-
9.4459	1605300	7.5507	-
9.4465	1605400	7.4502	-
9.4471	1605500	7.5237	-
9.4477	1605600	7.5526	-
9.4482	1605700	7.534	-
9.4488	1605800	7.4751	-
9.4494	1605900	7.5257	-
9.4500	1606000	7.4681	-
9.4506	1606100	7.4592	-
9.4512	1606200	7.4989	-
9.4518	1606300	7.4449	-
9.4524	1606400	7.5102	-
9.4529	1606500	7.4776	-
9.4535	1606600	7.4812	-
9.4541	1606700	7.485	-
9.4547	1606800	7.6169	-
9.4553	1606900	7.4647	-
9.4559	1607000	7.448	-
9.4565	1607100	7.4465	-
9.4571	1607200	7.5185	-
9.4577	1607300	7.4953	-
9.4582	1607400	7.5268	-
9.4588	1607500	7.5904	-
9.4594	1607600	7.502	-
9.4600	1607700	7.4571	-
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10.0002	1699500	7.4077	-
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10.0231	1703400	7.5306	-
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10.0243	1703600	7.4857	-
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10.0261	1703900	7.4968	-
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10.0278	1704200	7.5125	-
10.0284	1704300	7.5232	-
10.0290	1704400	7.5709	-
10.0296	1704500	7.474	-
10.0302	1704600	7.4292	-
10.0308	1704700	7.4436	-
10.0314	1704800	7.4803	-
10.0320	1704900	7.4679	-
10.0325	1705000	7.4302	-
10.0331	1705100	7.4572	-
10.0337	1705200	7.4989	-
10.0343	1705300	7.4669	-
10.0349	1705400	7.4442	-
10.0355	1705500	7.5405	-
10.0361	1705600	7.509	-
10.0367	1705700	7.4411	-
10.0372	1705800	7.4257	-
10.0378	1705900	7.6159	-
10.0384	1706000	7.4351	-
10.0390	1706100	7.5197	-
10.0396	1706200	7.4823	-
10.0402	1706300	7.4589	-
10.0408	1706400	7.4508	-
10.0414	1706500	7.4226	-
10.0420	1706600	7.4511	-
10.0425	1706700	7.5134	-
10.0431	1706800	7.4919	-
10.0437	1706900	7.4243	-
10.0443	1707000	7.4822	-
10.0449	1707100	7.4451	-
10.0455	1707200	7.5344	-
10.0461	1707300	7.5593	-
10.0467	1707400	7.4648	-
10.0473	1707500	7.4698	-
10.0478	1707600	7.4755	-
10.0484	1707700	7.466	-
10.0490	1707800	7.4829	-
10.0496	1707900	7.4477	-
10.0502	1708000	7.5055	-
10.0508	1708100	7.4587	-
10.0514	1708200	7.4558	-
10.0520	1708300	7.4565	-
10.0525	1708400	7.4816	-
10.0531	1708500	7.4388	-
10.0537	1708600	7.4571	-
10.0543	1708700	7.4982	-
10.0549	1708800	7.4697	-
10.0555	1708900	7.4729	-
10.0561	1709000	7.4459	-
10.0567	1709100	7.5173	-
10.0573	1709200	7.4308	-
10.0578	1709300	7.4592	-
10.0584	1709400	7.4875	-
10.0590	1709500	7.4578	-
10.0596	1709600	7.4807	-
10.0602	1709700	7.4924	-
10.0608	1709800	7.5151	-
10.0614	1709900	7.4193	-
10.0620	1710000	7.4552	-
10.0625	1710100	7.5064	-
10.0631	1710200	7.532	-
10.0637	1710300	7.4493	-
10.0643	1710400	7.5008	-
10.0649	1710500	7.4045	-
10.0655	1710600	7.4791	-
10.0661	1710700	7.5614	-
10.0667	1710800	7.4258	-
10.0673	1710900	7.4846	-
10.0678	1711000	7.5217	-
10.0684	1711100	7.4892	-
10.0690	1711200	7.4973	-
10.0696	1711300	7.4953	-
10.0702	1711400	7.4508	-
10.0708	1711500	7.475	-
10.0714	1711600	7.5206	-
10.0720	1711700	7.455	-
10.0726	1711800	7.4677	-
10.0731	1711900	7.4788	-
10.0737	1712000	7.516	-
10.0743	1712100	7.4488	-
10.0749	1712200	7.5146	-
10.0755	1712300	7.5262	-
10.0761	1712400	7.4855	-
10.0767	1712500	7.5694	-
10.0773	1712600	7.4944	-
10.0778	1712700	7.4761	-
10.0784	1712800	7.4379	-
10.0790	1712900	7.5057	-
10.0796	1713000	7.4174	-
10.0802	1713100	7.5983	-
10.0808	1713200	7.4037	-
10.0814	1713300	7.4598	-
10.0820	1713400	7.4564	-
10.0826	1713500	7.5124	-
10.0831	1713600	7.4919	-
10.0837	1713700	7.4406	-
10.0843	1713800	7.4922	-
10.0849	1713900	7.4353	-
10.0855	1714000	7.4652	-
10.0861	1714100	7.5049	-
10.0867	1714200	7.4282	-
10.0873	1714300	7.4219	-
10.0879	1714400	7.4888	-
10.0884	1714500	7.4797	-
10.0890	1714600	7.4606	-
10.0896	1714700	7.4868	-
10.0902	1714800	7.5179	-
10.0908	1714900	7.3992	-
10.0914	1715000	7.4859	-
10.0920	1715100	7.4795	-
10.0926	1715200	7.4489	-
10.0931	1715300	7.5512	-
10.0937	1715400	7.4821	-
10.0943	1715500	7.458	-
10.0949	1715600	7.4522	-
10.0955	1715700	7.507	-
10.0961	1715800	7.4145	-
10.0967	1715900	7.4917	-
10.0973	1716000	7.4285	-
10.0979	1716100	7.4156	-
10.0984	1716200	7.4327	-
10.0990	1716300	7.5028	-
10.0996	1716400	7.5387	-
10.1002	1716500	7.5193	-
10.1008	1716600	7.4236	-
10.1014	1716700	7.4712	-
10.1020	1716800	7.3809	-
10.1026	1716900	7.4727	-
10.1031	1717000	7.4961	-
10.1037	1717100	7.4705	-
10.1043	1717200	7.4874	-
10.1049	1717300	7.6709	-
10.1055	1717400	7.4545	-
10.1061	1717500	7.4663	-
10.1067	1717600	7.4434	-
10.1073	1717700	7.5608	-
10.1079	1717800	7.4429	-
10.1084	1717900	7.4422	-
10.1090	1718000	7.4602	-
10.1096	1718100	7.4338	-
10.1102	1718200	7.4532	-
10.1108	1718300	7.4475	-
10.1114	1718400	7.3992	-
10.1120	1718500	7.545	-
10.1126	1718600	7.4633	-
10.1132	1718700	7.5214	-
10.1137	1718800	7.4422	-
10.1143	1718900	7.4672	-
10.1149	1719000	7.5135	-
10.1155	1719100	7.5327	-
10.1161	1719200	7.449	-
10.1167	1719300	7.4808	-
10.1173	1719400	7.5139	-
10.1179	1719500	7.4288	-
10.1184	1719600	7.4288	-
10.1190	1719700	7.4445	-
10.1196	1719800	7.4738	-
10.1202	1719900	7.4973	-
10.1208	1720000	7.5004	-
10.1214	1720100	7.637	-
10.1220	1720200	7.4841	-
10.1226	1720300	7.5317	-
10.1232	1720400	7.5827	-
10.1237	1720500	7.4593	-
10.1243	1720600	7.4988	-
10.1249	1720700	7.4909	-
10.1255	1720800	7.5142	-
10.1261	1720900	7.4466	-
10.1267	1721000	7.481	-
10.1273	1721100	7.4431	-
10.1279	1721200	7.506	-
10.1285	1721300	7.451	-
10.1290	1721400	7.5471	-
10.1296	1721500	7.422	-
10.1302	1721600	7.5317	-
10.1308	1721700	7.4324	-
10.1314	1721800	7.5002	-
10.1320	1721900	7.4903	-
10.1326	1722000	7.4943	-
10.1332	1722100	7.4088	-
10.1337	1722200	7.4531	-
10.1343	1722300	7.639	-
10.1349	1722400	7.4127	-
10.1355	1722500	7.5574	-
10.1361	1722600	7.4337	-
10.1367	1722700	7.4788	-
10.1373	1722800	7.5431	-
10.1379	1722900	7.4084	-
10.1385	1723000	7.4975	-
10.1390	1723100	7.5054	-
10.1396	1723200	7.4053	-
10.1402	1723300	7.5277	-
10.1408	1723400	7.4726	-
10.1414	1723500	7.4853	-
10.1420	1723600	7.4989	-
10.1426	1723700	7.4907	-
10.1432	1723800	7.4738	-
10.1438	1723900	7.5229	-
10.1443	1724000	7.4917	-
10.1449	1724100	7.4582	-
10.1455	1724200	7.4771	-
10.1461	1724300	7.4613	-
10.1467	1724400	7.4676	-
10.1473	1724500	7.5043	-
10.1479	1724600	7.4623	-
10.1485	1724700	7.4725	-
10.1490	1724800	7.4947	-
10.1496	1724900	7.4983	-
10.1502	1725000	7.4371	-
10.1508	1725100	7.4471	-
10.1514	1725200	7.552	-
10.1520	1725300	7.4845	-
10.1526	1725400	7.4889	-
10.1532	1725500	7.5036	-
10.1538	1725600	7.5408	-
10.1543	1725700	7.4373	-
10.1549	1725800	7.5234	-
10.1555	1725900	7.4776	-
10.1561	1726000	7.4908	-
10.1567	1726100	7.5091	-
10.1573	1726200	7.4206	-
10.1579	1726300	7.5101	-
10.1585	1726400	7.462	-
10.1590	1726500	7.5008	-
10.1596	1726600	7.4327	-
10.1602	1726700	7.4681	-
10.1608	1726800	7.4587	-
10.1614	1726900	7.5261	-
10.1620	1727000	7.552	-
10.1626	1727100	7.5288	-
10.1632	1727200	7.5489	-
10.1638	1727300	7.4487	-
10.1643	1727400	7.4559	-
10.1649	1727500	7.4349	-
10.1655	1727600	7.4946	-
10.1661	1727700	7.4943	-
10.1667	1727800	7.4938	-
10.1673	1727900	7.4558	-
10.1679	1728000	7.4988	-
10.1685	1728100	7.364	-
10.1691	1728200	7.4592	-
10.1696	1728300	7.5354	-
10.1702	1728400	7.4845	-
10.1708	1728500	7.4738	-
10.1714	1728600	7.449	-
10.1720	1728700	7.4646	-
10.1726	1728800	7.4327	-
10.1732	1728900	7.5201	-
10.1738	1729000	7.4624	-
10.1743	1729100	7.5204	-
10.1749	1729200	7.565	-
10.1755	1729300	7.5639	-
10.1761	1729400	7.5073	-
10.1767	1729500	7.477	-
10.1773	1729600	7.5049	-
10.1779	1729700	7.5095	-
10.1785	1729800	7.4119	-
10.1791	1729900	7.4752	-
10.1796	1730000	7.4083	-
10.1802	1730100	7.4396	-
10.1808	1730200	7.4702	-
10.1814	1730300	7.4685	-
10.1820	1730400	7.5519	-
10.1826	1730500	7.488	-
10.1832	1730600	7.4989	-
10.1838	1730700	7.4611	-
10.1844	1730800	7.4152	-
10.1849	1730900	7.5533	-
10.1855	1731000	7.5107	-
10.1861	1731100	7.473	-
10.1867	1731200	7.4815	-
10.1873	1731300	7.4449	-
10.1879	1731400	7.4509	-
10.1885	1731500	7.4745	-
10.1891	1731600	7.5462	-
10.1896	1731700	7.4654	-
10.1902	1731800	7.5166	-
10.1908	1731900	7.5727	-
10.1914	1732000	7.4296	-
10.1920	1732100	7.4499	-
10.1926	1732200	7.4539	-
10.1932	1732300	7.5292	-
10.1938	1732400	7.5303	-
10.1944	1732500	7.4475	-
10.1949	1732600	7.6129	-
10.1955	1732700	7.4859	-
10.1961	1732800	7.4996	-
10.1967	1732900	7.4451	-
10.1973	1733000	7.4295	-
10.1979	1733100	7.4591	-
10.1985	1733200	7.4655	-
10.1991	1733300	7.4278	-
10.1997	1733400	7.4653	-
10.2002	1733500	7.522	-
10.2008	1733600	7.4067	-
10.2014	1733700	7.5266	-
10.2020	1733800	7.4687	-
10.2026	1733900	7.5145	-
10.2032	1734000	7.4844	-
10.2038	1734100	7.5377	-
10.2044	1734200	7.4541	-
10.2049	1734300	7.4327	-
10.2055	1734400	7.4776	-
10.2061	1734500	7.5501	-
10.2067	1734600	7.42	-
10.2073	1734700	7.4632	-
10.2079	1734800	7.537	-
10.2085	1734900	7.4941	-
10.2091	1735000	7.5871	-
10.2097	1735100	7.4456	-
10.2102	1735200	7.4439	-
10.2108	1735300	7.5376	-
10.2114	1735400	7.5682	-
10.2120	1735500	7.448	-
10.2126	1735600	7.4662	-
10.2132	1735700	7.4908	-
10.2138	1735800	7.5549	-
10.2144	1735900	7.4381	-
10.2149	1736000	7.4658	-
10.2155	1736100	7.5876	-
10.2161	1736200	7.4761	-
10.2167	1736300	7.4078	-
10.2173	1736400	7.4356	-
10.2179	1736500	7.4934	-
10.2185	1736600	7.4335	-
10.2191	1736700	7.4161	-
10.2197	1736800	7.4588	-
10.2202	1736900	7.4596	-
10.2208	1737000	7.536	-
10.2214	1737100	7.4463	-
10.2220	1737200	7.5002	-
10.2226	1737300	7.5363	-
10.2232	1737400	7.4451	-
10.2238	1737500	7.4868	-
10.2244	1737600	7.5742	-
10.2250	1737700	7.5016	-
10.2255	1737800	7.4306	-
10.2261	1737900	7.4465	-
10.2267	1738000	7.4743	-
10.2273	1738100	7.4618	-
10.2279	1738200	7.4804	-
10.2285	1738300	7.4606	-
10.2291	1738400	7.4973	-
10.2297	1738500	7.4641	-
10.2302	1738600	7.511	-
10.2308	1738700	7.4593	-
10.2314	1738800	7.4598	-
10.2320	1738900	7.4746	-
10.2326	1739000	7.4839	-
10.2332	1739100	7.448	-
10.2338	1739200	7.4167	-
10.2344	1739300	7.4414	-
10.2350	1739400	7.5451	-
10.2355	1739500	7.4371	-
10.2361	1739600	7.4781	-
10.2367	1739700	7.4578	-
10.2373	1739800	7.4031	-
10.2379	1739900	7.5088	-
10.2385	1740000	7.461	-
10.2391	1740100	7.4933	-
10.2397	1740200	7.559	-
10.2403	1740300	7.4009	-
10.2408	1740400	7.4814	-
10.2414	1740500	7.4148	-
10.2420	1740600	7.4472	-
10.2426	1740700	7.4844	-
10.2432	1740800	7.431	-
10.2438	1740900	7.5061	-
10.2444	1741000	7.4844	-
10.2450	1741100	7.4948	-
10.2455	1741200	7.4373	-
10.2461	1741300	7.4639	-
10.2467	1741400	7.428	-
10.2473	1741500	7.508	-
10.2479	1741600	7.4834	-
10.2485	1741700	7.5167	-
10.2491	1741800	7.4518	-
10.2497	1741900	7.5351	-
10.2503	1742000	7.4537	-
10.2508	1742100	7.487	-
10.2514	1742200	7.4313	-
10.2520	1742300	7.4939	-
10.2526	1742400	7.4646	-
10.2532	1742500	7.4774	-
10.2538	1742600	7.4633	-
10.2544	1742700	7.5349	-
10.2550	1742800	7.4457	-
10.2556	1742900	7.4638	-
10.2561	1743000	7.4495	-
10.2567	1743100	7.4223	-
10.2573	1743200	7.4645	-
10.2579	1743300	7.5201	-
10.2585	1743400	7.4457	-
10.2591	1743500	7.5538	-
10.2597	1743600	7.498	-
10.2603	1743700	7.5069	-
10.2608	1743800	7.4781	-
10.2614	1743900	7.4307	-
10.2620	1744000	7.4774	-
10.2626	1744100	7.4959	-
10.2632	1744200	7.4274	-
10.2638	1744300	7.4797	-
10.2644	1744400	7.5032	-
10.2650	1744500	7.4954	-
10.2656	1744600	7.4713	-
10.2661	1744700	7.5353	-
10.2667	1744800	7.446	-
10.2673	1744900	7.3984	-
10.2679	1745000	7.4252	-
10.2685	1745100	7.513	-
10.2691	1745200	7.4764	-
10.2697	1745300	7.4681	-
10.2703	1745400	7.4626	-
10.2708	1745500	7.4329	-
10.2714	1745600	7.4342	-
10.2720	1745700	7.4183	-
10.2726	1745800	7.4571	-
10.2732	1745900	7.5012	-
10.2738	1746000	7.4992	-
10.2744	1746100	7.4967	-
10.2750	1746200	7.4348	-
10.2756	1746300	7.4186	-
10.2761	1746400	7.4382	-
10.2767	1746500	7.4905	-
10.2773	1746600	7.5461	-
10.2779	1746700	7.4557	-
10.2785	1746800	7.4307	-
10.2791	1746900	7.4335	-
10.2797	1747000	7.5098	-
10.2803	1747100	7.4201	-
10.2809	1747200	7.4793	-
10.2814	1747300	7.4191	-
10.2820	1747400	7.4172	-
10.2826	1747500	7.4466	-
10.2832	1747600	7.4076	-
10.2838	1747700	7.4718	-
10.2844	1747800	7.4451	-
10.2850	1747900	7.4391	-
10.2856	1748000	7.457	-
10.2861	1748100	7.5294	-
10.2867	1748200	7.5555	-
10.2873	1748300	7.4406	-
10.2879	1748400	7.4806	-
10.2885	1748500	7.5153	-
10.2891	1748600	7.4898	-
10.2897	1748700	7.4408	-
10.2903	1748800	7.4588	-
10.2909	1748900	7.5176	-
10.2914	1749000	7.4592	-
10.2920	1749100	7.4254	-
10.2926	1749200	7.5139	-
10.2932	1749300	7.4849	-
10.2938	1749400	7.467	-
10.2944	1749500	7.4704	-
10.2950	1749600	7.4928	-
10.2956	1749700	7.4653	-
10.2962	1749800	7.4324	-
10.2967	1749900	7.5281	-
10.2973	1750000	7.4906	-
10.2979	1750100	7.4622	-
10.2985	1750200	7.4676	-
10.2991	1750300	7.4866	-
10.2997	1750400	7.4829	-
10.3003	1750500	7.4444	-
10.3009	1750600	7.5167	-
10.3014	1750700	7.5634	-
10.3020	1750800	7.4911	-
10.3026	1750900	7.4361	-
10.3032	1751000	7.5881	-
10.3038	1751100	7.4975	-
10.3044	1751200	7.5092	-
10.3050	1751300	7.504	-
10.3056	1751400	7.4739	-
10.3062	1751500	7.5217	-
10.3067	1751600	7.5233	-
10.3073	1751700	7.4278	-
10.3079	1751800	7.46	-
10.3085	1751900	7.4443	-
10.3091	1752000	7.4586	-
10.3097	1752100	7.4069	-
10.3103	1752200	7.4915	-
10.3109	1752300	7.4869	-
10.3115	1752400	7.4753	-
10.3120	1752500	7.5438	-
10.3126	1752600	7.5018	-
10.3132	1752700	7.446	-
10.3138	1752800	7.4306	-
10.3144	1752900	7.5061	-
10.3150	1753000	7.4767	-
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10.5992	1801300	7.4424	-
10.5998	1801400	7.5235	-
10.6004	1801500	7.4477	-
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10.8540	1844600	7.4212	-
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10.8640	1846300	7.4703	-
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10.8675	1846900	7.5277	-
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10.8740	1848000	7.5104	-
10.8746	1848100	7.4806	-
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10.8763	1848400	7.485	-
10.8769	1848500	7.4511	-
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10.8793	1848900	7.4556	-
10.8799	1849000	7.4845	-
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10.8810	1849200	7.4435	-
10.8816	1849300	7.4291	-
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10.8828	1849500	7.447	-
10.8834	1849600	7.5305	-
10.8840	1849700	7.5244	-
10.8846	1849800	7.4597	-
10.8852	1849900	7.4536	-
10.8857	1850000	7.4612	-
10.8863	1850100	7.5282	-
10.8869	1850200	7.5041	-
10.8875	1850300	7.4428	-
10.8881	1850400	7.4399	-
10.8887	1850500	7.4566	-
10.8893	1850600	7.49	-
10.8899	1850700	7.4643	-
10.8905	1850800	7.4705	-
10.8910	1850900	7.4249	-
10.8916	1851000	7.4926	-
10.8922	1851100	7.5368	-
10.8928	1851200	7.5447	-
10.8934	1851300	7.4447	-
10.8940	1851400	7.5217	-
10.8946	1851500	7.4381	-
10.8952	1851600	7.5556	-
10.8957	1851700	7.456	-
10.8963	1851800	7.4657	-
10.8969	1851900	7.4875	-
10.8975	1852000	7.4781	-
10.8981	1852100	7.458	-
10.8987	1852200	7.4396	-
10.8993	1852300	7.535	-
10.8999	1852400	7.4742	-
10.9005	1852500	7.5	-
10.9010	1852600	7.4714	-
10.9016	1852700	7.5209	-
10.9022	1852800	7.4729	-
10.9028	1852900	7.4336	-
10.9034	1853000	7.6102	-
10.9040	1853100	7.4196	-
10.9046	1853200	7.4131	-
10.9052	1853300	7.5124	-
10.9058	1853400	7.5371	-
10.9063	1853500	7.4523	-
10.9069	1853600	7.445	-
10.9075	1853700	7.4995	-
10.9081	1853800	7.4809	-
10.9087	1853900	7.463	-
10.9093	1854000	7.4154	-
10.9099	1854100	7.4294	-
10.9105	1854200	7.5029	-
10.9110	1854300	7.5043	-
10.9116	1854400	7.4446	-
10.9122	1854500	7.4603	-
10.9128	1854600	7.469	-
10.9134	1854700	7.4944	-
10.9140	1854800	7.443	-
10.9146	1854900	7.5208	-
10.9152	1855000	7.4716	-
10.9158	1855100	7.4656	-
10.9163	1855200	7.5321	-
10.9169	1855300	7.4688	-
10.9175	1855400	7.4537	-
10.9181	1855500	7.4394	-
10.9187	1855600	7.4827	-
10.9193	1855700	7.4541	-
10.9199	1855800	7.4854	-
10.9205	1855900	7.5543	-
10.9211	1856000	7.4206	-
10.9216	1856100	7.4194	-
10.9222	1856200	7.5124	-
10.9228	1856300	7.4114	-
10.9234	1856400	7.5201	-
10.9240	1856500	7.5045	-
10.9246	1856600	7.5073	-
10.9252	1856700	7.5387	-
10.9258	1856800	7.5111	-
10.9263	1856900	7.5351	-
10.9269	1857000	7.5312	-
10.9275	1857100	7.5089	-
10.9281	1857200	7.5182	-
10.9287	1857300	7.464	-
10.9293	1857400	7.4675	-
10.9299	1857500	7.4412	-
10.9305	1857600	7.5058	-
10.9311	1857700	7.5402	-
10.9316	1857800	7.4259	-
10.9322	1857900	7.4603	-
10.9328	1858000	7.5176	-
10.9334	1858100	7.4044	-
10.9340	1858200	7.5223	-
10.9346	1858300	7.4008	-
10.9352	1858400	7.5902	-
10.9358	1858500	7.4927	-
10.9364	1858600	7.4621	-
10.9369	1858700	7.5427	-
10.9375	1858800	7.4353	-
10.9381	1858900	7.4754	-
10.9387	1859000	7.4684	-
10.9393	1859100	7.486	-
10.9399	1859200	7.3936	-
10.9405	1859300	7.489	-
10.9411	1859400	7.5436	-
10.9416	1859500	7.4731	-
10.9422	1859600	7.4854	-
10.9428	1859700	7.4695	-
10.9434	1859800	7.4772	-
10.9440	1859900	7.4449	-
10.9446	1860000	7.5069	-
10.9452	1860100	7.425	-
10.9458	1860200	7.4795	-
10.9464	1860300	7.4402	-
10.9469	1860400	7.4853	-
10.9475	1860500	7.4637	-
10.9481	1860600	7.4436	-
10.9487	1860700	7.4537	-
10.9493	1860800	7.4225	-
10.9499	1860900	7.4287	-
10.9505	1861000	7.48	-
10.9511	1861100	7.4886	-
10.9516	1861200	7.4095	-
10.9522	1861300	7.4979	-
10.9528	1861400	7.4454	-
10.9534	1861500	7.4803	-
10.9540	1861600	7.4132	-
10.9546	1861700	7.4455	-
10.9552	1861800	7.4516	-
10.9558	1861900	7.4775	-
10.9564	1862000	7.5052	-
10.9569	1862100	7.4364	-
10.9575	1862200	7.4594	-
10.9581	1862300	7.4706	-
10.9587	1862400	7.5234	-
10.9593	1862500	7.5449	-
10.9599	1862600	7.475	-
10.9605	1862700	7.4746	-
10.9611	1862800	7.4619	-
10.9617	1862900	7.5009	-
10.9622	1863000	7.4001	-
10.9628	1863100	7.3978	-
10.9634	1863200	7.4937	-
10.9640	1863300	7.5061	-
10.9646	1863400	7.557	-
10.9652	1863500	7.4705	-
10.9658	1863600	7.504	-
10.9664	1863700	7.4814	-
10.9669	1863800	7.4583	-
10.9675	1863900	7.4916	-
10.9681	1864000	7.4463	-
10.9687	1864100	7.5002	-
10.9693	1864200	7.4384	-
10.9699	1864300	7.5328	-
10.9705	1864400	7.4621	-
10.9711	1864500	7.4403	-
10.9717	1864600	7.4725	-
10.9722	1864700	7.4133	-
10.9728	1864800	7.4608	-
10.9734	1864900	7.4406	-
10.9740	1865000	7.4508	-
10.9746	1865100	7.5255	-
10.9752	1865200	7.5119	-
10.9758	1865300	7.461	-
10.9764	1865400	7.4821	-
10.9770	1865500	7.4244	-
10.9775	1865600	7.4228	-
10.9781	1865700	7.4996	-
10.9787	1865800	7.5605	-
10.9793	1865900	7.4616	-
10.9799	1866000	7.4632	-
10.9805	1866100	7.4591	-
10.9811	1866200	7.4968	-
10.9817	1866300	7.4659	-
10.9822	1866400	7.4903	-
10.9828	1866500	7.3973	-
10.9834	1866600	7.5044	-
10.9840	1866700	7.4793	-
10.9846	1866800	7.4843	-
10.9852	1866900	7.4686	-
10.9858	1867000	7.4941	-
10.9864	1867100	7.4987	-
10.9870	1867200	7.4534	-
10.9875	1867300	7.5901	-
10.9881	1867400	7.4437	-
10.9887	1867500	7.4705	-
10.9893	1867600	7.5287	-
10.9899	1867700	7.4085	-
10.9905	1867800	7.444	-
10.9911	1867900	7.4967	-
10.9917	1868000	7.4839	-
10.9923	1868100	7.4104	-
10.9928	1868200	7.4851	-
10.9934	1868300	7.4194	-
10.9940	1868400	7.5479	-
10.9946	1868500	7.4816	-
10.9952	1868600	7.4109	-
10.9958	1868700	7.4995	-
10.9964	1868800	7.5357	-
10.9970	1868900	7.4998	-
10.9975	1869000	7.5112	-
10.9981	1869100	7.4992	-
10.9987	1869200	7.5273	-
10.9993	1869300	7.4954	-
10.9999	1869400	7.5077	-
11.0	1869417	-	7.4505

Framework Versions

Python: 3.12.3
Sentence Transformers: 5.1.0
Transformers: 4.55.4
PyTorch: 2.6.0+cu124
Accelerate: 1.10.1
Datasets: 4.0.0
Tokenizers: 0.21.4

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",
}

CoSENTLoss

@online{kexuefm-8847,
    title={CoSENT: A more efficient sentence vector scheme than Sentence-BERT},
    author={Su Jianlin},
    year={2022},
    month={Jan},
    url={https://kexue.fm/archives/8847},
}