all-MiniLM-L6-v68-pair_score

This is a sentence-transformers model finetuned from KhaledReda/all-MiniLM-L6-v67-pair_score on the pairs_with_scores_v55 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: KhaledReda/all-MiniLM-L6-v67-pair_score
Maximum Sequence Length: 256 tokens
Output Dimensionality: 384 dimensions
Similarity Function: Cosine Similarity
Training Dataset:
- pairs_with_scores_v55
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 = [
    'manaeesh mat',
    'submersible pump deep water pumping discover the submersible pump available in a range of specifications tailored to meet your specific needs submersible pump 6m ideal for deep-water pumping tasks providing efficient water transfer up to 6 meters deep. submersible pump 2.8m perfect for medium-depth applications offering reliable performance for water transfer up to 2.8 meters deep. submersible pump 2.5m designed for versatile use capable of handling water transfer tasks up to 2.5 meters deep with ease. submersible pump 1.8m a versatile option for various pumping needs delivering efficient water transfer up to 1.8 meters deep. submersible pump 1.5m suitable for shallow-water pumping tasks providing reliable performa',
    'blackberry jam low carb jam diabetic jam friendly jam gluten free jam blackberry marmalade blackberry preserve blackberry - stevia - erythritol - gelatin nutritional facts per jar 103 kcal - 1.2 gr fat - 10.4 gr net carb - 12.7 gr fiber - 3.3 gr protein suitable for low carb - diabetic friendly - gluten free - 14 days in fridge.',
]
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,  0.0196,  0.2491],
#         [ 0.0196,  1.0000, -0.0921],
#         [ 0.2491, -0.0921,  1.0000]])

Training Details

Training Dataset

pairs_with_scores_v55

Dataset: pairs_with_scores_v55 at 73e55fb
Size: 16,807,177 training samples
Columns: sentence1, sentence2, and score
Approximate statistics based on the first 1000 samples:
sentence1 sentence2 score
type string string float
details
min: 4 tokens
mean: 7.42 tokens
max: 21 tokens

min: 3 tokens
mean: 56.69 tokens
max: 256 tokens

min: 0.0
mean: 0.2
max: 1.0

	sentence1	sentence2	score
type	string	string	float
details	min: 4 tokens mean: 7.42 tokens max: 21 tokens	min: 3 tokens mean: 56.69 tokens max: 256 tokens	min: 0.0 mean: 0.2 max: 1.0

Samples:

sentence1	sentence2	score
`microwave safe dish`	`car diffuser interior accessory`	`0.0`
`vitacare turmeric curcumin`	`vaultix safe - vx680 2ed filing cabinet safe filing cupboard safe vaultix safe - vx 680 2 ed filing cupboard item code vx680 2ed 2 drawers . outside h82 w 51.5 d 68 cm in - side 2x h 30 w 37 d 52 cm . approx wt 150 10 kg.`	`0.0`
`colorful swing`	`closeup - white now toothpaste 75 ml with free toothbrush - 1 pack closeup toothbrush closeup now closeup - now tooth polish with free toothbrush closeup tooth polish`	`0.0`

Loss: CoSENTLoss with these parameters:

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

Evaluation Dataset

pairs_with_scores_v55

Dataset: pairs_with_scores_v55 at 73e55fb
Size: 84,459 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: 7.39 tokens
max: 22 tokens

min: 4 tokens
mean: 58.17 tokens
max: 256 tokens

min: 0.0
mean: 0.21
max: 1.0

	sentence1	sentence2	score
type	string	string	float
details	min: 3 tokens mean: 7.39 tokens max: 22 tokens	min: 4 tokens mean: 58.17 tokens max: 256 tokens	min: 0.0 mean: 0.21 max: 1.0

Samples:

sentence1	sentence2	score
`lade wide - leg washed jeans`	`sapphire 1.0 flared jeans pocket jeans women jeans sapphire flared jeans sapphire jeans retro inspired with contemporary edge these jeans are a sure stunner with every wear. take note of the butterfly wings pockets wink`	`1.0`
`maybelline super stay vinyl ink`	`plumping liquid no. 884 volume natural look polyisobutene paraffin oil beeswax longlasting perfumed plumping liquid . liquid for a full and attractive look. fuller gorgeous lips. immediate volume. natural look. contains polyisobutene. paraffin oil paraffinum liquidum . beeswax. isopropyl. palmitate. methylparaben. propylparaben. colors. perfume.`	`1.0`
`nigiri prawn rice`	`jacks dutch gouda goat roquefort blue vein cheese bold flavor cheese dutch cheese jacks dutch cheese goat cheese gouda cheese jacks cheese roquefort cheese chevre cheese jacks dutch gouda chevre roquefort jacks gbnah roquefort gbnah this artisanal cheese boasts a distinctive blue vein pattern delivering a bold and tangy flavor profile.`	`0.0`

Loss: CoSENTLoss with these parameters:

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

Training Hyperparameters

Non-Default Hyperparameters

eval_strategy: steps
per_device_train_batch_size: 64
per_device_eval_batch_size: 64
learning_rate: 2e-05
num_train_epochs: 1
warmup_ratio: 0.1
fp16: True

All Hyperparameters

Click to expand

overwrite_output_dir: False
do_predict: False
eval_strategy: steps
prediction_loss_only: True
per_device_train_batch_size: 64
per_device_eval_batch_size: 64
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: 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: 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
0.1451	38100	1.7388	-
0.1455	38200	1.2575	-
0.1458	38300	1.5936	-
0.1462	38400	1.1743	-
0.1466	38500	1.3492	-
0.1470	38600	1.8688	-
0.1474	38700	1.4807	-
0.1477	38800	1.1378	-
0.1481	38900	1.3023	-
0.1485	39000	1.7831	-
0.1489	39100	1.4154	-
0.1493	39200	1.3736	-
0.1496	39300	1.5757	-
0.1500	39400	1.3783	-
0.1504	39500	1.2984	-
0.1508	39600	1.2588	-
0.1512	39700	1.6603	-
0.1516	39800	1.424	-
0.1519	39900	1.4454	-
0.1523	40000	1.3826	-
0.1527	40100	1.0824	-
0.1531	40200	1.4347	-
0.1535	40300	1.3081	-
0.1538	40400	2.0162	-
0.1542	40500	2.2671	-
0.1546	40600	1.378	-
0.1550	40700	1.5063	-
0.1554	40800	1.2349	-
0.1557	40900	1.4186	-
0.1561	41000	1.2654	-
0.1565	41100	1.5503	-
0.1569	41200	1.4331	-
0.1573	41300	1.7043	-
0.1576	41400	1.9116	-
0.1580	41500	1.4573	-
0.1584	41600	1.2892	-
0.1588	41700	1.5785	-
0.1592	41800	1.5437	-
0.1596	41900	1.5244	-
0.1599	42000	1.3826	-
0.1603	42100	1.2437	-
0.1607	42200	1.0175	-
0.1611	42300	1.4837	-
0.1615	42400	1.1276	-
0.1618	42500	1.595	-
0.1622	42600	1.1331	-
0.1626	42700	1.2255	-
0.1630	42800	1.3512	-
0.1634	42900	1.2825	-
0.1637	43000	1.4597	-
0.1641	43100	1.4086	-
0.1645	43200	1.5376	-
0.1649	43300	1.2161	-
0.1653	43400	1.4653	-
0.1656	43500	1.5108	-
0.1660	43600	1.2763	-
0.1664	43700	1.3366	-
0.1668	43800	1.4199	-
0.1672	43900	1.5502	-
0.1675	44000	1.2364	-
0.1679	44100	1.2128	-
0.1683	44200	1.6633	-
0.1687	44300	1.0547	-
0.1691	44400	1.383	-
0.1695	44500	1.3763	-
0.1698	44600	1.1867	-
0.1702	44700	1.1319	-
0.1706	44800	0.9709	-
0.1710	44900	1.2353	-
0.1714	45000	1.1953	-
0.1717	45100	1.3682	-
0.1721	45200	1.3421	-
0.1725	45300	1.5409	-
0.1729	45400	1.0977	-
0.1733	45500	1.3429	-
0.1736	45600	1.0934	-
0.1740	45700	0.8719	-
0.1744	45800	1.0944	-
0.1748	45900	1.6985	-
0.1752	46000	1.2402	-
0.1755	46100	1.4224	-
0.1759	46200	1.287	-
0.1763	46300	1.6571	-
0.1767	46400	1.3942	-
0.1771	46500	1.3881	-
0.1774	46600	1.4228	-
0.1778	46700	1.146	-
0.1782	46800	1.1712	-
0.1786	46900	1.4554	-
0.1790	47000	0.8972	-
0.1794	47100	1.456	-
0.1797	47200	1.2934	-
0.1801	47300	1.2996	-
0.1805	47400	1.614	-
0.1809	47500	1.145	-
0.1813	47600	1.4345	-
0.1816	47700	1.6062	-
0.1820	47800	1.6186	-
0.1824	47900	1.2693	-
0.1828	48000	1.2246	-
0.1832	48100	1.298	-
0.1835	48200	1.5156	-
0.1839	48300	1.4832	-
0.1843	48400	1.2418	-
0.1847	48500	1.8141	-
0.1851	48600	1.5944	-
0.1854	48700	1.0635	-
0.1858	48800	1.5705	-
0.1862	48900	1.4565	-
0.1866	49000	1.2873	-
0.1870	49100	1.3008	-
0.1873	49200	1.5659	-
0.1877	49300	1.2847	-
0.1881	49400	0.8838	-
0.1885	49500	1.5516	-
0.1889	49600	1.4727	-
0.1893	49700	1.5106	-
0.1896	49800	1.5929	-
0.1900	49900	1.4596	-
0.1904	50000	1.7466	-
0.1908	50100	1.2106	-
0.1912	50200	1.4	-
0.1915	50300	1.1979	-
0.1919	50400	1.2085	-
0.1923	50500	1.3021	-
0.1927	50600	1.4676	-
0.1931	50700	1.2273	-
0.1934	50800	1.5127	-
0.1938	50900	1.4849	-
0.1942	51000	1.4986	-
0.1946	51100	1.416	-
0.1950	51200	1.8114	-
0.1953	51300	1.2641	-
0.1957	51400	1.3847	-
0.1961	51500	0.8639	-
0.1965	51600	1.9404	-
0.1969	51700	1.6166	-
0.1972	51800	1.5005	-
0.1976	51900	1.3034	-
0.1980	52000	1.3826	-
0.1984	52100	1.2858	-
0.1988	52200	1.194	-
0.1992	52300	1.3809	-
0.1995	52400	1.2541	-
0.1999	52500	0.8221	-
0.2003	52600	1.4647	-
0.2007	52700	1.4636	-
0.2011	52800	1.328	-
0.2014	52900	1.1523	-
0.2018	53000	1.4513	-
0.2022	53100	1.4491	-
0.2026	53200	1.7626	-
0.2030	53300	1.2837	-
0.2033	53400	1.2265	-
0.2037	53500	1.5568	-
0.2041	53600	1.5198	-
0.2045	53700	1.2008	-
0.2049	53800	1.5339	-
0.2052	53900	1.1175	-
0.2056	54000	1.0572	-
0.2060	54100	1.2232	-
0.2064	54200	1.4556	-
0.2068	54300	1.2426	-
0.2071	54400	1.3772	-
0.2075	54500	1.2641	-
0.2079	54600	1.2133	-
0.2083	54700	1.1227	-
0.2087	54800	1.0176	-
0.2091	54900	1.4674	-
0.2094	55000	1.2321	-
0.2098	55100	1.2413	-
0.2102	55200	1.1783	-
0.2106	55300	0.9811	-
0.2110	55400	1.4177	-
0.2113	55500	1.0648	-
0.2117	55600	1.2385	-
0.2121	55700	1.4961	-
0.2125	55800	1.6034	-
0.2129	55900	1.27	-
0.2132	56000	1.092	-
0.2136	56100	1.5468	-
0.2140	56200	0.9571	-
0.2144	56300	1.3627	-
0.2148	56400	1.0296	-
0.2151	56500	1.3028	-
0.2155	56600	1.1399	-
0.2159	56700	1.2334	-
0.2163	56800	0.9667	-
0.2167	56900	0.9421	-
0.2170	57000	1.2799	-
0.2174	57100	0.9267	-
0.2178	57200	1.3844	-
0.2182	57300	1.1871	-
0.2186	57400	1.0325	-
0.2190	57500	1.4168	-
0.2193	57600	2.211	-
0.2197	57700	1.865	-
0.2201	57800	1.4782	-
0.2205	57900	1.0505	-
0.2209	58000	1.1913	-
0.2212	58100	1.6028	-
0.2216	58200	1.1153	-
0.2220	58300	1.3152	-
0.2224	58400	1.3528	-
0.2228	58500	1.3621	-
0.2231	58600	1.2115	-
0.2235	58700	1.4227	-
0.2239	58800	1.206	-
0.2243	58900	1.306	-
0.2247	59000	1.181	-
0.2250	59100	1.2189	-
0.2254	59200	1.4472	-
0.2258	59300	1.5711	-
0.2262	59400	1.4275	-
0.2266	59500	1.2163	-
0.2269	59600	1.117	-
0.2273	59700	1.4345	-
0.2277	59800	1.3482	-
0.2281	59900	1.4769	-
0.2285	60000	1.4643	-
0.2289	60100	1.2494	-
0.2292	60200	1.0642	-
0.2296	60300	1.6185	-
0.2300	60400	1.3792	-
0.2304	60500	1.3953	-
0.2308	60600	0.8888	-
0.2311	60700	1.2778	-
0.2315	60800	1.3383	-
0.2319	60900	1.7195	-
0.2323	61000	1.0799	-
0.2327	61100	1.2681	-
0.2330	61200	0.9678	-
0.2334	61300	1.3456	-
0.2338	61400	1.403	-
0.2342	61500	0.9123	-
0.2346	61600	1.07	-
0.2349	61700	1.0963	-
0.2353	61800	1.5516	-
0.2357	61900	1.0615	-
0.2361	62000	1.1914	-
0.2365	62100	1.4337	-
0.2369	62200	1.3232	-
0.2372	62300	0.9772	-
0.2376	62400	1.2912	-
0.2380	62500	0.9675	-
0.2384	62600	1.7816	-
0.2388	62700	1.431	-
0.2391	62800	1.3103	-
0.2395	62900	1.371	-
0.2399	63000	1.6181	-
0.2403	63100	1.1888	-
0.2407	63200	1.169	-
0.2410	63300	1.447	-
0.2414	63400	1.0805	-
0.2418	63500	1.0632	-
0.2422	63600	1.2213	-
0.2426	63700	1.308	-
0.2429	63800	1.3646	-
0.2433	63900	0.8355	-
0.2437	64000	1.2456	-
0.2441	64100	1.499	-
0.2445	64200	1.9641	-
0.2448	64300	1.331	-
0.2452	64400	1.2976	-
0.2456	64500	1.3877	-
0.2460	64600	1.0937	-
0.2464	64700	0.9621	-
0.2468	64800	0.9317	-
0.2471	64900	1.1002	-
0.2475	65000	1.1918	-
0.2479	65100	1.3215	-
0.2483	65200	1.6228	-
0.2487	65300	1.005	-
0.2490	65400	1.0707	-
0.2494	65500	1.3228	-
0.2498	65600	1.3633	-
0.2502	65700	1.4398	-
0.2506	65800	1.1675	-
0.2509	65900	1.3131	-
0.2513	66000	1.7162	-
0.2517	66100	1.139	-
0.2521	66200	1.2808	-
0.2525	66300	1.2043	-
0.2528	66400	1.4346	-
0.2532	66500	0.8792	-
0.2536	66600	0.9523	-
0.2540	66700	1.5114	-
0.2544	66800	1.6132	-
0.2547	66900	1.2791	-
0.2551	67000	1.1482	-
0.2555	67100	0.8924	-
0.2559	67200	1.6369	-
0.2563	67300	1.4286	-
0.2567	67400	1.2043	-
0.2570	67500	1.0174	-
0.2574	67600	0.9626	-
0.2578	67700	1.5908	-
0.2582	67800	1.0913	-
0.2586	67900	1.027	-
0.2589	68000	1.1341	-
0.2593	68100	1.4334	-
0.2597	68200	0.8035	-
0.2601	68300	1.121	-
0.2605	68400	1.3175	-
0.2608	68500	1.3451	-
0.2612	68600	1.348	-
0.2616	68700	1.1621	-
0.2620	68800	1.1322	-
0.2624	68900	0.9739	-
0.2627	69000	1.3404	-
0.2631	69100	0.8324	-
0.2635	69200	1.2368	-
0.2639	69300	0.8711	-
0.2643	69400	1.699	-
0.2646	69500	1.1217	-
0.2650	69600	1.395	-
0.2654	69700	1.1412	-
0.2658	69800	1.2221	-
0.2662	69900	0.9689	-
0.2666	70000	1.1235	-
0.2669	70100	1.496	-
0.2673	70200	1.479	-
0.2677	70300	1.0345	-
0.2681	70400	1.0142	-
0.2685	70500	1.2635	-
0.2688	70600	1.0586	-
0.2692	70700	1.3015	-
0.2696	70800	1.0121	-
0.2700	70900	1.269	-
0.2704	71000	1.1973	-
0.2707	71100	1.5518	-
0.2711	71200	0.9711	-
0.2715	71300	1.3153	-
0.2719	71400	1.4047	-
0.2723	71500	1.4615	-
0.2726	71600	0.9287	-
0.2730	71700	1.1664	-
0.2734	71800	1.3322	-
0.2738	71900	1.123	-
0.2742	72000	1.2349	-
0.2745	72100	1.1197	-
0.2749	72200	1.1381	-
0.2753	72300	1.3928	-
0.2757	72400	1.5207	-
0.2761	72500	1.3523	-
0.2765	72600	1.1918	-
0.2768	72700	1.3532	-
0.2772	72800	1.4794	-
0.2776	72900	1.271	-
0.2780	73000	0.9694	-
0.2784	73100	1.4061	-
0.2787	73200	1.1897	-
0.2791	73300	1.5974	-
0.2795	73400	0.8375	-
0.2799	73500	1.4405	-
0.2803	73600	1.3762	-
0.2806	73700	1.0712	-
0.2810	73800	0.636	-
0.2814	73900	1.1401	-
0.2818	74000	0.9845	-
0.2822	74100	0.9647	-
0.2825	74200	1.3934	-
0.2829	74300	1.2436	-
0.2833	74400	1.0836	-
0.2837	74500	1.135	-
0.2841	74600	0.954	-
0.2844	74700	1.2054	-
0.2848	74800	1.1147	-
0.2852	74900	1.3462	-
0.2856	75000	1.2921	-
0.2860	75100	1.1099	-
0.2864	75200	1.1429	-
0.2867	75300	1.0494	-
0.2871	75400	0.9361	-
0.2875	75500	1.3025	-
0.2879	75600	0.9449	-
0.2883	75700	1.1283	-
0.2886	75800	1.3476	-
0.2890	75900	1.2069	-
0.2894	76000	1.2169	-
0.2898	76100	0.8877	-
0.2902	76200	1.0959	-
0.2905	76300	0.8182	-
0.2909	76400	0.8086	-
0.2913	76500	1.2758	-
0.2917	76600	1.0231	-
0.2921	76700	0.9695	-
0.2924	76800	1.1662	-
0.2928	76900	1.0292	-
0.2932	77000	1.2023	-
0.2936	77100	0.9968	-
0.2940	77200	0.8061	-
0.2943	77300	0.912	-
0.2947	77400	0.982	-
0.2951	77500	1.7258	-
0.2955	77600	1.0876	-
0.2959	77700	1.1599	-
0.2963	77800	1.301	-
0.2966	77900	1.1684	-
0.2970	78000	0.9234	-
0.2974	78100	0.8603	-
0.2978	78200	1.4127	-
0.2982	78300	1.0975	-
0.2985	78400	0.947	-
0.2989	78500	0.9974	-
0.2993	78600	1.4901	-
0.2997	78700	0.8643	-
0.3001	78800	1.3298	-
0.3004	78900	1.0095	-
0.3008	79000	0.7552	-
0.3012	79100	0.9393	-
0.3016	79200	1.03	-
0.3020	79300	1.5783	-
0.3023	79400	0.9681	-
0.3027	79500	1.3696	-
0.3031	79600	0.8545	-
0.3035	79700	1.3796	-
0.3039	79800	1.0099	-
0.3042	79900	0.8729	-
0.3046	80000	1.0703	-
0.3050	80100	1.456	-
0.3054	80200	1.2205	-
0.3058	80300	1.2478	-
0.3062	80400	0.9321	-
0.3065	80500	1.0883	-
0.3069	80600	1.601	-
0.3073	80700	1.3277	-
0.3077	80800	0.9559	-
0.3081	80900	0.7034	-
0.3084	81000	1.0018	-
0.3088	81100	0.7703	-
0.3092	81200	0.7843	-
0.3096	81300	1.422	-
0.3100	81400	0.8729	-
0.3103	81500	1.2806	-
0.3107	81600	0.9733	-
0.3111	81700	1.4387	-
0.3115	81800	1.072	-
0.3119	81900	1.5959	-
0.3122	82000	1.0945	-
0.3126	82100	0.8323	-
0.3130	82200	1.2029	-
0.3134	82300	1.1271	-
0.3138	82400	0.8268	-
0.3142	82500	1.3135	-
0.3145	82600	1.1325	-
0.3149	82700	0.8327	-
0.3153	82800	0.8513	-
0.3157	82900	1.1326	-
0.3161	83000	1.1152	-
0.3164	83100	1.0826	-
0.3168	83200	0.8179	-
0.3172	83300	1.2524	-
0.3176	83400	0.8792	-
0.3180	83500	1.3233	-
0.3183	83600	1.1587	-
0.3187	83700	0.9605	-
0.3191	83800	0.8601	-
0.3195	83900	1.0785	-
0.3199	84000	1.4632	-
0.3202	84100	1.1072	-
0.3206	84200	1.1209	-
0.3210	84300	1.0533	-
0.3214	84400	1.3345	-
0.3218	84500	1.0683	-
0.3221	84600	1.1461	-
0.3225	84700	0.8369	-
0.3229	84800	1.1148	-
0.3233	84900	0.8497	-
0.3237	85000	1.1584	-
0.3241	85100	1.0696	-
0.3244	85200	1.3393	-
0.3248	85300	0.8788	-
0.3252	85400	1.2118	-
0.3256	85500	0.8362	-
0.3260	85600	1.1216	-
0.3263	85700	0.8498	-
0.3267	85800	1.0431	-
0.3271	85900	1.198	-
0.3275	86000	1.1988	-
0.3279	86100	1.0435	-
0.3282	86200	0.9958	-
0.3286	86300	0.838	-
0.3290	86400	0.8953	-
0.3294	86500	0.9847	-
0.3298	86600	0.8935	-
0.3301	86700	0.9913	-
0.3305	86800	0.9911	-
0.3309	86900	1.0998	-
0.3313	87000	1.0856	-
0.3317	87100	0.8344	-
0.3320	87200	1.0807	-
0.3324	87300	1.2114	-
0.3328	87400	1.2127	-
0.3332	87500	0.6945	-
0.3336	87600	1.0718	-
0.3340	87700	1.0162	-
0.3343	87800	0.9767	-
0.3347	87900	0.9875	-
0.3351	88000	0.8192	-
0.3355	88100	1.2768	-
0.3359	88200	0.8035	-
0.3362	88300	0.9308	-
0.3366	88400	0.9322	-
0.3370	88500	0.952	-
0.3374	88600	1.1486	-
0.3378	88700	1.4512	-
0.3381	88800	1.2675	-
0.3385	88900	0.7543	-
0.3389	89000	0.8096	-
0.3393	89100	1.2781	-
0.3397	89200	0.9466	-
0.3400	89300	0.908	-
0.3404	89400	0.8319	-
0.3408	89500	0.8612	-
0.3412	89600	1.0526	-
0.3416	89700	1.2912	-
0.3419	89800	1.1862	-
0.3423	89900	1.0464	-
0.3427	90000	0.9431	-
0.3431	90100	1.1454	-
0.3435	90200	1.0742	-
0.3439	90300	1.1152	-
0.3442	90400	1.194	-
0.3446	90500	1.0115	-
0.3450	90600	0.8599	-
0.3454	90700	1.0795	-
0.3458	90800	0.9838	-
0.3461	90900	1.1714	-
0.3465	91000	0.8873	-
0.3469	91100	1.1787	-
0.3473	91200	0.7703	-
0.3477	91300	0.897	-
0.3480	91400	0.7498	-
0.3484	91500	0.9141	-
0.3488	91600	0.8904	-
0.3492	91700	1.2231	-
0.3496	91800	1.2136	-
0.3499	91900	1.247	-
0.3503	92000	0.9011	-
0.3507	92100	0.9518	-
0.3511	92200	0.8949	-
0.3515	92300	1.0356	-
0.3518	92400	0.8481	-
0.3522	92500	0.9834	-
0.3526	92600	1.0898	-
0.3530	92700	0.821	-
0.3534	92800	1.2934	-
0.3538	92900	0.9518	-
0.3541	93000	0.6572	-
0.3545	93100	0.9307	-
0.3549	93200	0.7265	-
0.3553	93300	0.9338	-
0.3557	93400	1.0986	-
0.3560	93500	1.0077	-
0.3564	93600	1.2949	-
0.3568	93700	0.7404	-
0.3572	93800	1.0964	-
0.3576	93900	0.9945	-
0.3579	94000	1.0882	-
0.3583	94100	1.1797	-
0.3587	94200	0.8261	-
0.3591	94300	1.2208	-
0.3595	94400	1.518	-
0.3598	94500	0.8772	-
0.3602	94600	1.4893	-
0.3606	94700	1.3601	-
0.3610	94800	1.368	-
0.3614	94900	0.9709	-
0.3617	95000	0.6974	-
0.3621	95100	1.0661	-
0.3625	95200	1.0981	-
0.3629	95300	0.8991	-
0.3633	95400	0.8904	-
0.3637	95500	1.0302	-
0.3640	95600	0.7207	-
0.3644	95700	0.9185	-
0.3648	95800	0.5917	-
0.3652	95900	1.3631	-
0.3656	96000	1.2963	-
0.3659	96100	1.0422	-
0.3663	96200	1.3879	-
0.3667	96300	1.0046	-
0.3671	96400	1.0715	-
0.3675	96500	0.8702	-
0.3678	96600	1.1392	-
0.3682	96700	0.9918	-
0.3686	96800	1.3447	-
0.3690	96900	0.4945	-
0.3694	97000	0.8775	-
0.3697	97100	1.0311	-
0.3701	97200	0.8777	-
0.3705	97300	0.7925	-
0.3709	97400	0.9259	-
0.3713	97500	1.2038	-
0.3716	97600	0.9381	-
0.3720	97700	0.9964	-
0.3724	97800	1.1949	-
0.3728	97900	0.8926	-
0.3732	98000	1.3405	-
0.3736	98100	0.9763	-
0.3739	98200	0.8129	-
0.3743	98300	0.9699	-
0.3747	98400	1.2113	-
0.3751	98500	0.7272	-
0.3755	98600	0.8261	-
0.3758	98700	0.8398	-
0.3762	98800	1.0383	-
0.3766	98900	0.9625	-
0.3770	99000	1.218	-
0.3774	99100	1.0344	-
0.3777	99200	1.1155	-
0.3781	99300	1.0666	-
0.3785	99400	0.787	-
0.3789	99500	0.8785	-
0.3793	99600	0.9955	-
0.3796	99700	1.1789	-
0.3800	99800	1.0565	-
0.3804	99900	1.1787	-
0.3808	100000	1.0808	-
0.3812	100100	0.8149	-
0.3816	100200	0.9847	-
0.3819	100300	0.8978	-
0.3823	100400	0.9824	-
0.3827	100500	1.0149	-
0.3831	100600	1.0298	-
0.3835	100700	0.9379	-
0.3838	100800	0.8395	-
0.3842	100900	0.7649	-
0.3846	101000	0.7202	-
0.3850	101100	1.1569	-
0.3854	101200	0.932	-
0.3857	101300	0.9954	-
0.3861	101400	0.906	-
0.3865	101500	1.0032	-
0.3869	101600	0.9004	-
0.3873	101700	0.9421	-
0.3876	101800	0.8625	-
0.3880	101900	0.7862	-
0.3884	102000	0.8384	-
0.3888	102100	1.0844	-
0.3892	102200	0.965	-
0.3895	102300	1.0675	-
0.3899	102400	0.8237	-
0.3903	102500	0.8864	-
0.3907	102600	1.0463	-
0.3911	102700	0.935	-
0.3915	102800	1.1616	-
0.3918	102900	1.3619	-
0.3922	103000	1.17	-
0.3926	103100	0.9933	-
0.3930	103200	0.6321	-
0.3934	103300	1.2462	-
0.3937	103400	0.993	-
0.3941	103500	1.0127	-
0.3945	103600	1.0356	-
0.3949	103700	0.8918	-
0.3953	103800	0.9376	-
0.3956	103900	0.7683	-
0.3960	104000	0.9386	-
0.3964	104100	1.0562	-
0.3968	104200	0.9022	-
0.3972	104300	0.7317	-
0.3975	104400	0.7896	-
0.3979	104500	0.8456	-
0.3983	104600	0.8689	-
0.3987	104700	0.9573	-
0.3991	104800	1.0167	-
0.3994	104900	0.8667	-
0.3998	105000	1.1441	-
0.4002	105100	0.7807	-
0.4006	105200	1.0931	-
0.4010	105300	0.5695	-
0.4014	105400	0.8563	-
0.4017	105500	1.0561	-
0.4021	105600	0.8646	-
0.4025	105700	1.0734	-
0.4029	105800	0.7063	-
0.4033	105900	1.2951	-
0.4036	106000	1.0901	-
0.4040	106100	1.1276	-
0.4044	106200	1.0824	-
0.4048	106300	0.9766	-
0.4052	106400	1.0408	-
0.4055	106500	0.9742	-
0.4059	106600	0.7806	-
0.4063	106700	0.9704	-
0.4067	106800	1.0404	-
0.4071	106900	0.6827	-
0.4074	107000	0.9372	-
0.4078	107100	0.7085	-
0.4082	107200	1.1568	-
0.4086	107300	1.0695	-
0.4090	107400	1.0292	-
0.4093	107500	0.7417	-
0.4097	107600	1.0381	-
0.4101	107700	0.8651	-
0.4105	107800	0.8613	-
0.4109	107900	0.8098	-
0.4113	108000	1.138	-
0.4116	108100	0.9685	-
0.4120	108200	1.0243	-
0.4124	108300	1.0704	-
0.4128	108400	0.5687	-
0.4132	108500	1.1377	-
0.4135	108600	0.6826	-
0.4139	108700	0.8505	-
0.4143	108800	0.9234	-
0.4147	108900	0.9233	-
0.4151	109000	1.0621	-
0.4154	109100	1.1102	-
0.4158	109200	1.055	-
0.4162	109300	1.0136	-
0.4166	109400	1.0752	-
0.4170	109500	0.88	-
0.4173	109600	1.1398	-
0.4177	109700	0.982	-
0.4181	109800	1.1564	-
0.4185	109900	0.6593	-
0.4189	110000	0.9919	-
0.4192	110100	0.8688	-
0.4196	110200	1.1852	-
0.4200	110300	0.8145	-
0.4204	110400	0.7467	-
0.4208	110500	0.8744	-
0.4212	110600	0.9628	-
0.4215	110700	0.9634	-
0.4219	110800	0.7986	-
0.4223	110900	0.9139	-
0.4227	111000	1.2686	-
0.4231	111100	0.9184	-
0.4234	111200	0.8892	-
0.4238	111300	1.0069	-
0.4242	111400	1.0472	-
0.4246	111500	0.853	-
0.4250	111600	0.9837	-
0.4253	111700	0.8294	-
0.4257	111800	0.8447	-
0.4261	111900	0.7649	-
0.4265	112000	0.8553	-
0.4269	112100	0.9891	-
0.4272	112200	1.146	-
0.4276	112300	1.2526	-
0.4280	112400	1.0519	-
0.4284	112500	0.7889	-
0.4288	112600	0.761	-
0.4291	112700	0.6533	-
0.4295	112800	0.7299	-
0.4299	112900	0.6321	-
0.4303	113000	0.7546	-
0.4307	113100	0.7845	-
0.4311	113200	0.8234	-
0.4314	113300	1.2338	-
0.4318	113400	1.1728	-
0.4322	113500	1.2293	-
0.4326	113600	0.8225	-
0.4330	113700	0.7852	-
0.4333	113800	1.3603	-
0.4337	113900	0.9966	-
0.4341	114000	1.1463	-
0.4345	114100	0.8672	-
0.4349	114200	0.8895	-
0.4352	114300	1.099	-
0.4356	114400	0.8724	-
0.4360	114500	0.743	-
0.4364	114600	1.1317	-
0.4368	114700	1.2479	-
0.4371	114800	0.999	-
0.4375	114900	1.1802	-
0.4379	115000	1.1619	-
0.4383	115100	0.8064	-
0.4387	115200	0.9421	-
0.4390	115300	1.2784	-
0.4394	115400	0.8947	-
0.4398	115500	0.9921	-
0.4402	115600	0.6107	-
0.4406	115700	0.6307	-
0.4410	115800	0.8644	-
0.4413	115900	1.0557	-
0.4417	116000	0.7905	-
0.4421	116100	0.972	-
0.4425	116200	0.937	-
0.4429	116300	0.8616	-
0.4432	116400	0.6887	-
0.4436	116500	0.7021	-
0.4440	116600	0.8296	-
0.4444	116700	0.4904	-
0.4448	116800	0.8502	-
0.4451	116900	0.6308	-
0.4455	117000	0.9499	-
0.4459	117100	0.9357	-
0.4463	117200	1.2589	-
0.4467	117300	0.6376	-
0.4470	117400	1.1002	-
0.4474	117500	0.6647	-
0.4478	117600	1.0206	-
0.4482	117700	1.2057	-
0.4486	117800	0.9348	-
0.4489	117900	1.071	-
0.4493	118000	1.0034	-
0.4497	118100	0.8304	-
0.4501	118200	0.8571	-
0.4505	118300	0.989	-
0.4509	118400	1.2121	-
0.4512	118500	0.6191	-
0.4516	118600	1.0126	-
0.4520	118700	0.9924	-
0.4524	118800	1.1222	-
0.4528	118900	0.7048	-
0.4531	119000	0.6063	-
0.4535	119100	0.8921	-
0.4539	119200	1.0767	-
0.4543	119300	0.6926	-
0.4547	119400	0.8657	-
0.4550	119500	0.8091	-
0.4554	119600	0.6593	-
0.4558	119700	0.9784	-
0.4562	119800	0.9464	-
0.4566	119900	1.0813	-
0.4569	120000	1.2315	-
0.4573	120100	0.7768	-
0.4577	120200	0.8646	-
0.4581	120300	1.0126	-
0.4585	120400	1.1035	-
0.4589	120500	0.7094	-
0.4592	120600	1.0263	-
0.4596	120700	0.7417	-
0.4600	120800	0.6793	-
0.4604	120900	0.6576	-
0.4608	121000	0.7742	-
0.4611	121100	0.8483	-
0.4615	121200	0.8501	-
0.4619	121300	0.7528	-
0.4623	121400	0.9413	-
0.4627	121500	0.854	-
0.4630	121600	0.8239	-
0.4634	121700	0.8537	-
0.4638	121800	0.956	-
0.4642	121900	0.7973	-
0.4646	122000	1.1359	-
0.4649	122100	0.9667	-
0.4653	122200	0.7955	-
0.4657	122300	0.8882	-
0.4661	122400	1.2028	-
0.4665	122500	0.9063	-
0.4668	122600	0.6694	-
0.4672	122700	1.1344	-
0.4676	122800	0.8637	-
0.4680	122900	0.8389	-
0.4684	123000	0.9585	-
0.4688	123100	1.2329	-
0.4691	123200	0.6087	-
0.4695	123300	0.8242	-
0.4699	123400	0.8178	-
0.4703	123500	0.8737	-
0.4707	123600	0.565	-
0.4710	123700	1.0526	-
0.4714	123800	0.9996	-
0.4718	123900	1.2479	-
0.4722	124000	0.7449	-
0.4726	124100	0.6906	-
0.4729	124200	1.0492	-
0.4733	124300	0.749	-
0.4737	124400	1.0663	-
0.4741	124500	0.6169	-
0.4745	124600	0.6882	-
0.4748	124700	1.3625	-
0.4752	124800	0.8358	-
0.4756	124900	1.0551	-
0.4760	125000	0.9951	-
0.4764	125100	0.9091	-
0.4767	125200	0.9199	-
0.4771	125300	0.9402	-
0.4775	125400	1.2259	-
0.4779	125500	0.8382	-
0.4783	125600	0.9118	-
0.4787	125700	0.7655	-
0.4790	125800	0.8215	-
0.4794	125900	0.9342	-
0.4798	126000	1.135	-
0.4802	126100	1.193	-
0.4806	126200	1.1043	-
0.4809	126300	0.8247	-
0.4813	126400	0.5305	-
0.4817	126500	0.9446	-
0.4821	126600	0.6842	-
0.4825	126700	0.717	-
0.4828	126800	1.0833	-
0.4832	126900	0.7109	-
0.4836	127000	0.6967	-
0.4840	127100	0.9259	-
0.4844	127200	0.9395	-
0.4847	127300	0.7322	-
0.4851	127400	0.6433	-
0.4855	127500	0.8495	-
0.4859	127600	1.134	-
0.4863	127700	0.8101	-
0.4866	127800	0.6813	-
0.4870	127900	0.9984	-
0.4874	128000	0.8945	-
0.4878	128100	1.0	-
0.4882	128200	1.0523	-
0.4886	128300	0.7107	-
0.4889	128400	1.2248	-
0.4893	128500	1.1086	-
0.4897	128600	0.8375	-
0.4901	128700	1.2091	-
0.4905	128800	0.6701	-
0.4908	128900	0.9411	-
0.4912	129000	0.8542	-
0.4916	129100	0.7577	-
0.4920	129200	0.7701	-
0.4924	129300	1.083	-
0.4927	129400	0.9518	-
0.4931	129500	0.8644	-
0.4935	129600	0.9899	-
0.4939	129700	0.8952	-
0.4943	129800	0.9343	-
0.4946	129900	0.9265	-
0.4950	130000	0.7114	-
0.4954	130100	0.9683	-
0.4958	130200	0.8108	-
0.4962	130300	1.0441	-
0.4965	130400	0.5622	-
0.4969	130500	0.8836	-
0.4973	130600	1.0358	-
0.4977	130700	1.142	-
0.4981	130800	0.9694	-
0.4985	130900	0.85	-
0.4988	131000	0.8839	-
0.4992	131100	0.7161	-
0.4996	131200	0.4791	-
0.5000	131300	0.9125	-
0.5004	131400	1.0548	-
0.5007	131500	0.6021	-
0.5011	131600	0.9953	-
0.5015	131700	0.6826	-
0.5019	131800	0.9064	-
0.5023	131900	0.8967	-
0.5026	132000	0.8662	-
0.5030	132100	0.6726	-
0.5034	132200	0.7502	-
0.5038	132300	0.9401	-
0.5042	132400	0.7578	-
0.5045	132500	0.9251	-
0.5049	132600	0.9399	-
0.5053	132700	0.8249	-
0.5057	132800	0.983	-
0.5061	132900	1.0837	-
0.5064	133000	0.8871	-
0.5068	133100	0.7292	-
0.5072	133200	0.7822	-
0.5076	133300	0.5304	-
0.5080	133400	0.7286	-
0.5084	133500	0.7828	-
0.5087	133600	0.9209	-
0.5091	133700	0.8622	-
0.5095	133800	0.9718	-
0.5099	133900	0.8111	-
0.5103	134000	0.8999	-
0.5106	134100	0.9094	-
0.5110	134200	0.8448	-
0.5114	134300	0.6945	-
0.5118	134400	0.9368	-
0.5122	134500	0.9633	-
0.5125	134600	0.9995	-
0.5129	134700	0.7274	-
0.5133	134800	0.7881	-
0.5137	134900	0.7041	-
0.5141	135000	0.7973	-
0.5144	135100	0.56	-
0.5148	135200	0.9777	-
0.5152	135300	0.833	-
0.5156	135400	0.6472	-
0.5160	135500	0.8926	-
0.5163	135600	0.8111	-
0.5167	135700	0.6214	-
0.5171	135800	0.5499	-
0.5175	135900	0.9802	-
0.5179	136000	1.2166	-
0.5183	136100	0.9161	-
0.5186	136200	0.839	-
0.5190	136300	0.5017	-
0.5194	136400	0.7106	-
0.5198	136500	0.6848	-
0.5202	136600	0.7487	-
0.5205	136700	0.7897	-
0.5209	136800	0.6528	-
0.5213	136900	0.7289	-
0.5217	137000	0.7548	-
0.5221	137100	0.8754	-
0.5224	137200	0.8362	-
0.5228	137300	1.0224	-
0.5232	137400	0.7748	-
0.5236	137500	1.0065	-
0.5240	137600	0.7698	-
0.5243	137700	0.716	-
0.5247	137800	0.918	-
0.5251	137900	0.9907	-
0.5255	138000	0.5914	-
0.5259	138100	0.5994	-
0.5262	138200	1.1226	-
0.5266	138300	0.9515	-
0.5270	138400	0.8771	-
0.5274	138500	0.8667	-
0.5278	138600	0.8773	-
0.5282	138700	0.7236	-
0.5285	138800	1.0673	-
0.5289	138900	0.7732	-
0.5293	139000	0.6233	-
0.5297	139100	0.9458	-
0.5301	139200	0.9717	-
0.5304	139300	1.3305	-
0.5308	139400	0.7748	-
0.5312	139500	0.8725	-
0.5316	139600	0.9085	-
0.5320	139700	0.9087	-
0.5323	139800	0.7413	-
0.5327	139900	0.6624	-
0.5331	140000	0.9791	-
0.5335	140100	0.8659	-
0.5339	140200	0.6411	-
0.5342	140300	0.6309	-
0.5346	140400	0.5086	-
0.5350	140500	0.5542	-
0.5354	140600	0.6714	-
0.5358	140700	0.6921	-
0.5362	140800	0.6546	-
0.5365	140900	0.9578	-
0.5369	141000	0.7384	-
0.5373	141100	1.1328	-
0.5377	141200	0.7589	-
0.5381	141300	0.5561	-
0.5384	141400	0.414	-
0.5388	141500	0.94	-
0.5392	141600	0.9731	-
0.5396	141700	0.7335	-
0.5400	141800	0.7102	-
0.5403	141900	1.0673	-
0.5407	142000	0.8469	-
0.5411	142100	0.7985	-
0.5415	142200	0.7877	-
0.5419	142300	0.626	-
0.5422	142400	0.7278	-
0.5426	142500	0.4713	-
0.5430	142600	0.6712	-
0.5434	142700	0.9841	-
0.5438	142800	0.8046	-
0.5441	142900	0.7825	-
0.5445	143000	1.2399	-
0.5449	143100	0.8408	-
0.5453	143200	0.6519	-
0.5457	143300	0.5242	-
0.5461	143400	0.6197	-
0.5464	143500	0.9743	-
0.5468	143600	0.7051	-
0.5472	143700	0.5955	-
0.5476	143800	0.5384	-
0.5480	143900	0.7501	-
0.5483	144000	1.0418	-
0.5487	144100	0.6986	-
0.5491	144200	0.5422	-
0.5495	144300	0.9294	-
0.5499	144400	0.8532	-
0.5502	144500	1.2052	-
0.5506	144600	0.7087	-
0.5510	144700	0.9399	-
0.5514	144800	0.862	-
0.5518	144900	0.7916	-
0.5521	145000	0.6468	-
0.5525	145100	0.7321	-
0.5529	145200	0.3951	-
0.5533	145300	1.0385	-
0.5537	145400	0.5969	-
0.5540	145500	0.9502	-
0.5544	145600	0.5157	-
0.5548	145700	0.7603	-
0.5552	145800	1.0248	-
0.5556	145900	0.8806	-
0.5560	146000	0.9099	-
0.5563	146100	0.6131	-
0.5567	146200	0.6094	-
0.5571	146300	0.6972	-
0.5575	146400	0.4761	-
0.5579	146500	0.7551	-
0.5582	146600	0.7491	-
0.5586	146700	0.7768	-
0.5590	146800	0.7925	-
0.5594	146900	0.8489	-
0.5598	147000	0.7969	-
0.5601	147100	0.531	-
0.5605	147200	0.9848	-
0.5609	147300	0.7668	-
0.5613	147400	0.6732	-
0.5617	147500	0.8553	-
0.5620	147600	0.8542	-
0.5624	147700	0.9297	-
0.5628	147800	0.7631	-
0.5632	147900	0.7278	-
0.5636	148000	0.6145	-
0.5639	148100	1.136	-
0.5643	148200	0.757	-
0.5647	148300	0.7847	-
0.5651	148400	0.6849	-
0.5655	148500	0.5973	-
0.5659	148600	0.6159	-
0.5662	148700	0.8497	-
0.5666	148800	0.893	-
0.5670	148900	0.6477	-
0.5674	149000	0.8499	-
0.5678	149100	0.4651	-
0.5681	149200	0.6612	-
0.5685	149300	0.7084	-
0.5689	149400	0.6686	-
0.5693	149500	0.8612	-
0.5697	149600	0.8793	-
0.5700	149700	0.7024	-
0.5704	149800	0.8144	-
0.5708	149900	0.8942	-
0.5712	150000	0.9462	-
0.5716	150100	0.743	-
0.5719	150200	0.6164	-
0.5723	150300	0.7784	-
0.5727	150400	0.6937	-
0.5731	150500	1.4808	-
0.5735	150600	0.6163	-
0.5738	150700	0.6388	-
0.5742	150800	0.8961	-
0.5746	150900	0.5522	-
0.5750	151000	0.679	-
0.5754	151100	0.5858	-
0.5758	151200	0.5681	-
0.5761	151300	0.6038	-
0.5765	151400	0.8177	-
0.5769	151500	0.7498	-
0.5773	151600	0.7201	-
0.5777	151700	0.702	-
0.5780	151800	0.5284	-
0.5784	151900	0.7567	-
0.5788	152000	0.7617	-
0.5792	152100	0.948	-
0.5796	152200	1.0827	-
0.5799	152300	0.7424	-
0.5803	152400	0.325	-
0.5807	152500	0.6556	-
0.5811	152600	0.8179	-
0.5815	152700	0.9099	-
0.5818	152800	0.5893	-
0.5822	152900	0.6564	-
0.5826	153000	0.4107	-
0.5830	153100	0.6053	-
0.5834	153200	0.9376	-
0.5837	153300	0.5904	-
0.5841	153400	0.8978	-
0.5845	153500	0.6609	-
0.5849	153600	0.8164	-
0.5853	153700	0.7713	-
0.5857	153800	0.609	-
0.5860	153900	1.1975	-
0.5864	154000	0.9526	-
0.5868	154100	0.5889	-
0.5872	154200	1.0824	-
0.5876	154300	0.6549	-
0.5879	154400	0.8326	-
0.5883	154500	0.6027	-
0.5887	154600	0.7311	-
0.5891	154700	0.6113	-
0.5895	154800	0.7639	-
0.5898	154900	0.6251	-
0.5902	155000	1.0772	-
0.5906	155100	0.697	-
0.5910	155200	0.695	-
0.5914	155300	0.7526	-
0.5917	155400	0.9717	-
0.5921	155500	0.962	-
0.5925	155600	0.6947	-
0.5929	155700	0.9315	-
0.5933	155800	0.4562	-
0.5936	155900	0.7368	-
0.5940	156000	0.8006	-
0.5944	156100	0.9163	-
0.5948	156200	0.744	-
0.5952	156300	0.5344	-
0.5956	156400	0.7016	-
0.5959	156500	0.7263	-
0.5963	156600	0.5683	-
0.5967	156700	0.5455	-
0.5971	156800	0.7845	-
0.5975	156900	0.4691	-
0.5978	157000	0.8734	-
0.5982	157100	0.5954	-
0.5986	157200	0.766	-
0.5990	157300	0.9084	-
0.5994	157400	0.5475	-
0.5997	157500	0.9764	-
0.6001	157600	0.8514	-
0.6005	157700	0.7606	-
0.6009	157800	0.8385	-
0.6013	157900	0.8179	-
0.6016	158000	0.624	-
0.6020	158100	0.5525	-
0.6024	158200	0.752	-
0.6028	158300	0.9262	-
0.6032	158400	1.1583	-
0.6035	158500	0.6401	-
0.6039	158600	0.9631	-
0.6043	158700	0.4242	-
0.6047	158800	0.8722	-
0.6051	158900	0.7245	-
0.6055	159000	0.6786	-
0.6058	159100	0.603	-
0.6062	159200	0.6292	-
0.6066	159300	0.9099	-
0.6070	159400	0.6479	-
0.6074	159500	0.7378	-
0.6077	159600	0.6432	-
0.6081	159700	0.5861	-
0.6085	159800	0.6948	-
0.6089	159900	0.6887	-
0.6093	160000	0.5825	-
0.6096	160100	0.3818	-
0.6100	160200	0.8598	-
0.6104	160300	0.8548	-
0.6108	160400	0.6397	-
0.6112	160500	0.7934	-
0.6115	160600	0.6603	-
0.6119	160700	0.5919	-
0.6123	160800	0.568	-
0.6127	160900	0.8382	-
0.6131	161000	0.7229	-
0.6135	161100	0.6524	-
0.6138	161200	0.7003	-
0.6142	161300	0.9778	-
0.6146	161400	0.6309	-
0.6150	161500	0.7943	-
0.6154	161600	0.7844	-
0.6157	161700	0.6824	-
0.6161	161800	0.4747	-
0.6165	161900	0.5996	-
0.6169	162000	0.5056	-
0.6173	162100	0.7044	-
0.6176	162200	1.1608	-
0.6180	162300	0.5973	-
0.6184	162400	0.793	-
0.6188	162500	0.6657	-
0.6192	162600	0.8732	-
0.6195	162700	0.504	-
0.6199	162800	0.7363	-
0.6203	162900	0.9032	-
0.6207	163000	1.0092	-
0.6211	163100	0.7451	-
0.6214	163200	0.5173	-
0.6218	163300	0.5029	-
0.6222	163400	0.8866	-
0.6226	163500	0.946	-
0.6230	163600	0.8628	-
0.6234	163700	0.6738	-
0.6237	163800	0.6458	-
0.6241	163900	0.782	-
0.6245	164000	0.611	-
0.6249	164100	0.7002	-
0.6253	164200	0.7448	-
0.6256	164300	0.6051	-
0.6260	164400	0.7419	-
0.6264	164500	0.5106	-
0.6268	164600	0.4476	-
0.6272	164700	0.5984	-
0.6275	164800	0.7891	-
0.6279	164900	0.6941	-
0.6283	165000	0.6146	-
0.6287	165100	0.8828	-
0.6291	165200	0.7097	-
0.6294	165300	0.6776	-
0.6298	165400	0.9713	-
0.6302	165500	0.8269	-
0.6306	165600	1.0067	-
0.6310	165700	0.4208	-
0.6313	165800	0.4663	-
0.6317	165900	0.8495	-
0.6321	166000	0.6282	-
0.6325	166100	0.7482	-
0.6329	166200	0.852	-
0.6333	166300	0.7446	-
0.6336	166400	0.7189	-
0.6340	166500	0.8194	-
0.6344	166600	0.7154	-
0.6348	166700	0.8326	-
0.6352	166800	0.4785	-
0.6355	166900	0.7942	-
0.6359	167000	0.6655	-
0.6363	167100	0.718	-
0.6367	167200	0.902	-
0.6371	167300	0.5664	-
0.6374	167400	0.6708	-
0.6378	167500	0.7097	-
0.6382	167600	0.7956	-
0.6386	167700	0.4022	-
0.6390	167800	0.6209	-
0.6393	167900	0.5132	-
0.6397	168000	0.6649	-
0.6401	168100	0.7129	-
0.6405	168200	0.9779	-
0.6409	168300	0.64	-
0.6412	168400	0.556	-
0.6416	168500	0.7553	-
0.6420	168600	0.7845	-
0.6424	168700	0.3815	-
0.6428	168800	0.7983	-
0.6432	168900	0.6696	-
0.6435	169000	0.712	-
0.6439	169100	0.6212	-
0.6443	169200	1.0376	-
0.6447	169300	0.5441	-
0.6451	169400	0.6144	-
0.6454	169500	0.7839	-
0.6458	169600	0.8368	-
0.6462	169700	0.5417	-
0.6466	169800	0.9065	-
0.6470	169900	0.9088	-
0.6473	170000	0.8784	-
0.6477	170100	0.9078	-
0.6481	170200	0.6368	-
0.6485	170300	0.977	-
0.6489	170400	0.6847	-
0.6492	170500	0.4908	-
0.6496	170600	0.6082	-
0.6500	170700	0.7816	-
0.6504	170800	0.693	-
0.6508	170900	0.5151	-
0.6511	171000	0.6737	-
0.6515	171100	0.7043	-
0.6519	171200	0.6316	-
0.6523	171300	0.7511	-
0.6527	171400	0.6747	-
0.6531	171500	1.1289	-
0.6534	171600	0.5169	-
0.6538	171700	0.3564	-
0.6542	171800	0.7392	-
0.6546	171900	0.7068	-
0.6550	172000	1.0949	-
0.6553	172100	1.0516	-
0.6557	172200	0.6001	-
0.6561	172300	0.6889	-
0.6565	172400	0.5927	-
0.6569	172500	0.7898	-
0.6572	172600	0.6844	-
0.6576	172700	0.7087	-
0.6580	172800	0.8922	-
0.6584	172900	0.589	-
0.6588	173000	0.4572	-
0.6591	173100	0.6899	-
0.6595	173200	0.745	-
0.6599	173300	0.6649	-
0.6603	173400	0.6832	-
0.6607	173500	0.5603	-
0.6610	173600	0.7342	-
0.6614	173700	0.7274	-
0.6618	173800	0.6541	-
0.6622	173900	0.8022	-
0.6626	174000	0.6915	-
0.6630	174100	0.7715	-
0.6633	174200	0.5988	-
0.6637	174300	0.4934	-
0.6641	174400	0.6268	-
0.6645	174500	0.6399	-
0.6649	174600	0.4035	-
0.6652	174700	0.4934	-
0.6656	174800	0.8283	-
0.6660	174900	0.5622	-
0.6664	175000	0.8629	-
0.6668	175100	0.8494	-
0.6671	175200	0.5104	-
0.6675	175300	0.886	-
0.6679	175400	0.8333	-
0.6683	175500	0.8903	-
0.6687	175600	0.6725	-
0.6690	175700	0.5521	-
0.6694	175800	0.7138	-
0.6698	175900	0.6063	-
0.6702	176000	0.9374	-
0.6706	176100	0.6582	-
0.6709	176200	0.9546	-
0.6713	176300	0.7967	-
0.6717	176400	0.8047	-
0.6721	176500	0.7558	-
0.6725	176600	0.596	-
0.6729	176700	0.7004	-
0.6732	176800	0.556	-
0.6736	176900	0.8003	-
0.6740	177000	0.7427	-
0.6744	177100	0.7341	-
0.6748	177200	0.6159	-
0.6751	177300	0.5983	-
0.6755	177400	0.5946	-
0.6759	177500	0.3911	-
0.6763	177600	0.5736	-
0.6767	177700	0.7854	-
0.6770	177800	0.7419	-
0.6774	177900	0.7345	-
0.6778	178000	0.6691	-
0.6782	178100	0.6904	-
0.6786	178200	0.4819	-
0.6789	178300	0.7059	-
0.6793	178400	0.7402	-
0.6797	178500	0.775	-
0.6801	178600	0.5258	-
0.6805	178700	0.9091	-
0.6808	178800	0.8787	-
0.6812	178900	0.7603	-
0.6816	179000	0.4936	-
0.6820	179100	0.713	-
0.6824	179200	0.6711	-
0.6828	179300	0.7199	-
0.6831	179400	0.7329	-
0.6835	179500	0.6541	-
0.6839	179600	0.8378	-
0.6843	179700	0.8019	-
0.6847	179800	0.4696	-
0.6850	179900	0.9656	-
0.6854	180000	0.7699	-
0.6858	180100	0.6399	-
0.6862	180200	0.7199	-
0.6866	180300	0.8151	-
0.6869	180400	0.4888	-
0.6873	180500	0.4841	-
0.6877	180600	0.885	-
0.6881	180700	0.6196	-
0.6885	180800	0.7169	-
0.6888	180900	0.4637	-
0.6892	181000	0.3193	-
0.6896	181100	0.8948	-
0.6900	181200	0.9768	-
0.6904	181300	0.7909	-
0.6908	181400	0.6747	-
0.6911	181500	0.637	-
0.6915	181600	0.7305	-
0.6919	181700	0.6264	-
0.6923	181800	0.626	-
0.6927	181900	0.8092	-
0.6930	182000	1.1358	-
0.6934	182100	0.6214	-
0.6938	182200	0.4946	-
0.6942	182300	0.8975	-
0.6946	182400	0.7797	-
0.6949	182500	0.5661	-
0.6953	182600	0.606	-
0.6957	182700	0.4615	-
0.6961	182800	0.4329	-
0.6965	182900	0.7222	-
0.6968	183000	0.8648	-
0.6972	183100	0.9147	-
0.6976	183200	0.5623	-
0.6980	183300	0.848	-
0.6984	183400	0.7362	-
0.6987	183500	1.0541	-
0.6991	183600	1.0494	-
0.6995	183700	0.6131	-
0.6999	183800	0.6131	-
0.7003	183900	0.6727	-
0.7007	184000	0.6807	-
0.7010	184100	0.817	-
0.7014	184200	0.6018	-
0.7018	184300	0.5243	-
0.7022	184400	0.834	-
0.7026	184500	0.7654	-
0.7029	184600	0.6567	-
0.7033	184700	0.8223	-
0.7037	184800	0.6397	-
0.7041	184900	0.7857	-
0.7045	185000	0.6889	-
0.7048	185100	0.7543	-
0.7052	185200	0.4859	-
0.7056	185300	0.7587	-
0.7060	185400	0.6524	-
0.7064	185500	0.4879	-
0.7067	185600	0.4938	-
0.7071	185700	0.4497	-
0.7075	185800	0.851	-
0.7079	185900	0.761	-
0.7083	186000	0.7399	-
0.7086	186100	0.8299	-
0.7090	186200	0.7644	-
0.7094	186300	0.5419	-
0.7098	186400	0.8513	-
0.7102	186500	0.5753	-
0.7106	186600	0.8137	-
0.7109	186700	0.7098	-
0.7113	186800	0.3868	-
0.7117	186900	0.8108	-
0.7121	187000	0.7117	-
0.7125	187100	0.6792	-
0.7128	187200	0.6157	-
0.7132	187300	0.7073	-
0.7136	187400	0.7991	-
0.7140	187500	0.8557	-
0.7144	187600	0.6876	-
0.7147	187700	0.6358	-
0.7151	187800	0.4324	-
0.7155	187900	0.6434	-
0.7159	188000	0.5679	-
0.7163	188100	0.5015	-
0.7166	188200	0.577	-
0.7170	188300	0.7951	-
0.7174	188400	0.879	-
0.7178	188500	0.7985	-
0.7182	188600	0.5843	-
0.7185	188700	0.7221	-
0.7189	188800	0.4756	-
0.7193	188900	0.6546	-
0.7197	189000	0.7276	-
0.7201	189100	0.577	-
0.7205	189200	0.701	-
0.7208	189300	0.5992	-
0.7212	189400	0.729	-
0.7216	189500	0.5522	-
0.7220	189600	0.7224	-
0.7224	189700	0.4706	-
0.7227	189800	0.6832	-
0.7231	189900	0.4525	-
0.7235	190000	0.5867	-
0.7239	190100	0.7862	-
0.7243	190200	0.5552	-
0.7246	190300	0.8296	-
0.7250	190400	0.6705	-
0.7254	190500	0.6155	-
0.7258	190600	0.6109	-
0.7262	190700	0.6829	-
0.7265	190800	0.6384	-
0.7269	190900	0.5308	-
0.7273	191000	0.5028	-
0.7277	191100	0.7494	-
0.7281	191200	0.4897	-
0.7284	191300	0.7364	-
0.7288	191400	0.3235	-
0.7292	191500	0.6264	-
0.7296	191600	0.8665	-
0.7300	191700	0.9816	-
0.7304	191800	0.6774	-
0.7307	191900	0.8356	-
0.7311	192000	0.5672	-
0.7315	192100	0.6751	-
0.7319	192200	0.9343	-
0.7323	192300	0.8886	-
0.7326	192400	0.5906	-
0.7330	192500	0.8124	-
0.7334	192600	0.6511	-
0.7338	192700	0.6271	-
0.7342	192800	0.7795	-
0.7345	192900	0.6775	-
0.7349	193000	0.5646	-
0.7353	193100	0.3535	-
0.7357	193200	0.5743	-
0.7361	193300	0.8866	-
0.7364	193400	0.7605	-
0.7368	193500	0.8214	-
0.7372	193600	0.6155	-
0.7376	193700	0.6209	-
0.7380	193800	0.6444	-
0.7383	193900	0.9249	-
0.7387	194000	0.6918	-
0.7391	194100	0.3733	-
0.7395	194200	0.3581	-
0.7399	194300	0.5981	-
0.7403	194400	0.6725	-
0.7406	194500	0.5405	-
0.7410	194600	0.8472	-
0.7414	194700	0.5738	-
0.7418	194800	0.4233	-
0.7422	194900	0.5315	-
0.7425	195000	0.7521	-
0.7429	195100	0.6963	-
0.7433	195200	0.5932	-
0.7437	195300	0.774	-
0.7441	195400	0.7332	-
0.7444	195500	0.7874	-
0.7448	195600	0.5829	-
0.7452	195700	0.4545	-
0.7456	195800	0.8813	-
0.7460	195900	0.5097	-
0.7463	196000	0.6653	-
0.7467	196100	0.4936	-
0.7471	196200	0.6957	-
0.7475	196300	0.5535	-
0.7479	196400	0.7093	-
0.7482	196500	0.5965	-
0.7486	196600	0.7163	-
0.7490	196700	0.627	-
0.7494	196800	0.5603	-
0.7498	196900	0.8146	-
0.7502	197000	0.3312	-
0.7505	197100	0.5468	-
0.7509	197200	0.6956	-
0.7513	197300	0.6868	-
0.7517	197400	0.6416	-
0.7521	197500	0.5866	-
0.7524	197600	0.6879	-
0.7528	197700	0.5075	-
0.7532	197800	0.5583	-
0.7536	197900	1.0319	-
0.7540	198000	0.5257	-
0.7543	198100	0.3695	-
0.7547	198200	0.6156	-
0.7551	198300	0.4678	-
0.7555	198400	0.6395	-
0.7559	198500	0.627	-
0.7562	198600	0.86	-
0.7566	198700	0.5503	-
0.7570	198800	0.5551	-
0.7574	198900	0.5234	-
0.7578	199000	0.4097	-
0.7581	199100	0.8959	-
0.7585	199200	0.6941	-
0.7589	199300	0.9396	-
0.7593	199400	0.7203	-
0.7597	199500	0.5458	-
0.7601	199600	0.6324	-
0.7604	199700	0.5941	-
0.7608	199800	0.442	-
0.7612	199900	0.4527	-
0.7616	200000	0.6882	0.3968
0.7620	200100	0.3652	-
0.7623	200200	0.8502	-
0.7627	200300	0.5041	-
0.7631	200400	0.6129	-
0.7635	200500	1.0055	-
0.7639	200600	0.7845	-
0.7642	200700	0.7386	-
0.7646	200800	0.4929	-
0.7650	200900	0.3706	-
0.7654	201000	0.7734	-
0.7658	201100	0.4552	-
0.7661	201200	0.2837	-
0.7665	201300	0.5775	-
0.7669	201400	0.6026	-
0.7673	201500	0.5922	-
0.7677	201600	0.8352	-
0.7681	201700	0.5892	-
0.7684	201800	0.3315	-
0.7688	201900	0.6556	-
0.7692	202000	0.6768	-
0.7696	202100	0.8529	-
0.7700	202200	0.6064	-
0.7703	202300	0.4927	-
0.7707	202400	0.5126	-
0.7711	202500	0.8023	-
0.7715	202600	0.497	-
0.7719	202700	0.5459	-
0.7722	202800	0.5362	-
0.7726	202900	0.4744	-
0.7730	203000	0.6542	-
0.7734	203100	0.6608	-
0.7738	203200	0.5713	-
0.7741	203300	0.3898	-
0.7745	203400	0.8585	-
0.7749	203500	0.3706	-
0.7753	203600	0.6199	-
0.7757	203700	0.5297	-
0.7760	203800	0.4938	-
0.7764	203900	0.6274	-
0.7768	204000	0.7858	-
0.7772	204100	0.7111	-
0.7776	204200	0.4269	-
0.7780	204300	0.6026	-
0.7783	204400	0.643	-
0.7787	204500	0.5259	-
0.7791	204600	0.6128	-
0.7795	204700	0.6306	-
0.7799	204800	0.8026	-
0.7802	204900	0.4921	-
0.7806	205000	0.4265	-
0.7810	205100	0.6006	-
0.7814	205200	0.3799	-
0.7818	205300	0.576	-
0.7821	205400	0.7008	-
0.7825	205500	0.3711	-
0.7829	205600	0.5778	-
0.7833	205700	0.8098	-
0.7837	205800	0.606	-
0.7840	205900	0.7123	-
0.7844	206000	0.6425	-
0.7848	206100	0.7373	-
0.7852	206200	0.5921	-
0.7856	206300	0.7707	-
0.7859	206400	0.5098	-
0.7863	206500	0.5482	-
0.7867	206600	0.3696	-
0.7871	206700	0.6109	-
0.7875	206800	0.6958	-
0.7879	206900	0.5363	-
0.7882	207000	0.9139	-
0.7886	207100	0.6484	-
0.7890	207200	0.7202	-
0.7894	207300	0.7223	-
0.7898	207400	0.5349	-
0.7901	207500	0.7377	-
0.7905	207600	0.5638	-
0.7909	207700	0.748	-
0.7913	207800	0.4726	-
0.7917	207900	0.384	-
0.7920	208000	0.9771	-
0.7924	208100	0.8031	-
0.7928	208200	0.306	-
0.7932	208300	0.6174	-
0.7936	208400	0.6933	-
0.7939	208500	0.3953	-
0.7943	208600	0.6558	-
0.7947	208700	0.5965	-
0.7951	208800	0.5715	-
0.7955	208900	0.5077	-
0.7958	209000	0.6769	-
0.7962	209100	0.3898	-
0.7966	209200	0.7377	-
0.7970	209300	0.7253	-
0.7974	209400	0.8026	-
0.7978	209500	0.4352	-
0.7981	209600	0.6588	-
0.7985	209700	0.4988	-
0.7989	209800	0.692	-
0.7993	209900	0.882	-
0.7997	210000	0.4945	-
0.8000	210100	0.5269	-
0.8004	210200	0.5347	-
0.8008	210300	0.3809	-
0.8012	210400	0.6511	-
0.8016	210500	0.3981	-
0.8019	210600	0.6151	-
0.8023	210700	0.4902	-
0.8027	210800	0.7531	-
0.8031	210900	0.7032	-
0.8035	211000	0.5129	-
0.8038	211100	0.3848	-
0.8042	211200	0.6245	-
0.8046	211300	0.5956	-
0.8050	211400	0.5337	-
0.8054	211500	0.5404	-
0.8057	211600	0.4885	-
0.8061	211700	0.628	-
0.8065	211800	0.6188	-
0.8069	211900	0.5987	-
0.8073	212000	0.5323	-
0.8077	212100	0.691	-
0.8080	212200	0.4286	-
0.8084	212300	0.6155	-
0.8088	212400	0.4454	-
0.8092	212500	0.3318	-
0.8096	212600	0.6353	-
0.8099	212700	0.6956	-
0.8103	212800	0.7095	-
0.8107	212900	0.6191	-
0.8111	213000	0.4738	-
0.8115	213100	0.9609	-
0.8118	213200	0.52	-
0.8122	213300	0.8067	-
0.8126	213400	0.6046	-
0.8130	213500	0.6922	-
0.8134	213600	0.6976	-
0.8137	213700	0.5907	-
0.8141	213800	0.5048	-
0.8145	213900	0.6034	-
0.8149	214000	0.2585	-
0.8153	214100	0.4683	-
0.8156	214200	0.8105	-
0.8160	214300	0.636	-
0.8164	214400	0.8106	-
0.8168	214500	0.5158	-
0.8172	214600	0.4879	-
0.8176	214700	0.6759	-
0.8179	214800	0.4578	-
0.8183	214900	0.577	-
0.8187	215000	0.6281	-
0.8191	215100	0.5822	-
0.8195	215200	0.732	-
0.8198	215300	0.9093	-
0.8202	215400	0.7939	-
0.8206	215500	0.5666	-
0.8210	215600	0.5766	-
0.8214	215700	0.4785	-
0.8217	215800	0.4838	-
0.8221	215900	0.2992	-
0.8225	216000	0.7007	-
0.8229	216100	0.7122	-
0.8233	216200	0.5561	-
0.8236	216300	0.8391	-
0.8240	216400	0.6659	-
0.8244	216500	0.5713	-
0.8248	216600	0.5513	-
0.8252	216700	0.8535	-
0.8255	216800	0.2763	-
0.8259	216900	0.7712	-
0.8263	217000	0.4267	-
0.8267	217100	0.6614	-
0.8271	217200	0.502	-
0.8275	217300	0.696	-
0.8278	217400	0.3518	-
0.8282	217500	0.6546	-
0.8286	217600	0.6445	-
0.8290	217700	0.5143	-
0.8294	217800	0.4748	-
0.8297	217900	0.6404	-
0.8301	218000	0.5907	-
0.8305	218100	0.5578	-
0.8309	218200	0.5463	-
0.8313	218300	0.4553	-
0.8316	218400	0.6491	-
0.8320	218500	0.6832	-
0.8324	218600	0.5904	-
0.8328	218700	0.3131	-
0.8332	218800	0.5051	-
0.8335	218900	0.5392	-
0.8339	219000	0.4867	-
0.8343	219100	0.7537	-
0.8347	219200	0.6984	-
0.8351	219300	0.6161	-
0.8354	219400	0.5398	-
0.8358	219500	0.4395	-
0.8362	219600	0.6804	-
0.8366	219700	0.4669	-
0.8370	219800	0.7005	-
0.8374	219900	0.5042	-
0.8377	220000	0.6838	-
0.8381	220100	0.4056	-
0.8385	220200	0.5235	-
0.8389	220300	0.5652	-
0.8393	220400	0.7162	-
0.8396	220500	0.5363	-
0.8400	220600	0.4978	-
0.8404	220700	0.5978	-
0.8408	220800	0.3992	-
0.8412	220900	0.5548	-
0.8415	221000	0.5102	-
0.8419	221100	0.7058	-
0.8423	221200	0.9229	-
0.8427	221300	0.7681	-
0.8431	221400	0.6621	-
0.8434	221500	0.4301	-
0.8438	221600	0.6924	-
0.8442	221700	0.4431	-
0.8446	221800	0.5665	-
0.8450	221900	0.6303	-
0.8454	222000	0.6663	-
0.8457	222100	0.5387	-
0.8461	222200	0.4645	-
0.8465	222300	0.5583	-
0.8469	222400	0.4481	-
0.8473	222500	0.7634	-
0.8476	222600	0.6241	-
0.8480	222700	0.5581	-
0.8484	222800	0.5532	-
0.8488	222900	0.9159	-
0.8492	223000	0.4982	-
0.8495	223100	0.353	-
0.8499	223200	0.5668	-
0.8503	223300	0.4783	-
0.8507	223400	0.4134	-
0.8511	223500	0.4654	-
0.8514	223600	0.6008	-
0.8518	223700	0.3549	-
0.8522	223800	0.9539	-
0.8526	223900	0.522	-
0.8530	224000	0.6285	-
0.8533	224100	0.4974	-
0.8537	224200	0.4518	-
0.8541	224300	0.9539	-
0.8545	224400	0.5724	-
0.8549	224500	0.4465	-
0.8553	224600	0.5906	-
0.8556	224700	0.6521	-
0.8560	224800	0.3648	-
0.8564	224900	0.4446	-
0.8568	225000	0.983	-
0.8572	225100	0.7135	-
0.8575	225200	0.593	-
0.8579	225300	0.5844	-
0.8583	225400	0.7602	-
0.8587	225500	0.5847	-
0.8591	225600	0.584	-
0.8594	225700	0.494	-
0.8598	225800	0.4667	-
0.8602	225900	0.6285	-
0.8606	226000	0.6199	-
0.8610	226100	0.5879	-
0.8613	226200	0.4585	-
0.8617	226300	0.44	-
0.8621	226400	0.5379	-
0.8625	226500	0.7262	-
0.8629	226600	0.7517	-
0.8632	226700	0.6312	-
0.8636	226800	0.5687	-
0.8640	226900	0.4114	-
0.8644	227000	0.5733	-
0.8648	227100	0.4197	-
0.8652	227200	0.7058	-
0.8655	227300	0.8206	-
0.8659	227400	0.3857	-
0.8663	227500	0.467	-
0.8667	227600	0.5234	-
0.8671	227700	0.3298	-
0.8674	227800	0.587	-
0.8678	227900	0.5579	-
0.8682	228000	0.7022	-
0.8686	228100	0.3871	-
0.8690	228200	0.5576	-
0.8693	228300	0.5312	-
0.8697	228400	0.3921	-
0.8701	228500	0.572	-
0.8705	228600	0.5081	-
0.8709	228700	0.6843	-
0.8712	228800	0.2884	-
0.8716	228900	0.7898	-
0.8720	229000	0.4777	-
0.8724	229100	0.3505	-
0.8728	229200	0.6878	-
0.8731	229300	0.4913	-
0.8735	229400	0.7068	-
0.8739	229500	0.472	-
0.8743	229600	0.3781	-
0.8747	229700	1.0432	-
0.8751	229800	0.6237	-
0.8754	229900	0.4454	-
0.8758	230000	0.4308	-
0.8762	230100	0.2536	-
0.8766	230200	0.6688	-
0.8770	230300	0.863	-
0.8773	230400	0.7191	-
0.8777	230500	0.7335	-
0.8781	230600	0.5621	-
0.8785	230700	0.3993	-
0.8789	230800	0.5347	-
0.8792	230900	0.6684	-
0.8796	231000	0.5967	-
0.8800	231100	0.6707	-
0.8804	231200	0.4965	-
0.8808	231300	0.4352	-
0.8811	231400	0.5295	-
0.8815	231500	0.3799	-
0.8819	231600	0.189	-
0.8823	231700	0.6769	-
0.8827	231800	0.305	-
0.8830	231900	0.5778	-
0.8834	232000	0.4957	-
0.8838	232100	0.7059	-
0.8842	232200	0.3423	-
0.8846	232300	0.6349	-
0.8850	232400	0.6862	-
0.8853	232500	0.4646	-
0.8857	232600	0.3866	-
0.8861	232700	0.3797	-
0.8865	232800	0.5794	-
0.8869	232900	0.4485	-
0.8872	233000	0.5947	-
0.8876	233100	0.6158	-
0.8880	233200	0.4109	-
0.8884	233300	0.4063	-
0.8888	233400	0.6081	-
0.8891	233500	0.5121	-
0.8895	233600	0.5362	-
0.8899	233700	0.7129	-
0.8903	233800	0.6121	-
0.8907	233900	0.6142	-
0.8910	234000	0.6544	-
0.8914	234100	0.5208	-
0.8918	234200	0.5189	-
0.8922	234300	0.8856	-
0.8926	234400	0.5114	-
0.8929	234500	0.505	-
0.8933	234600	0.5859	-
0.8937	234700	0.8133	-
0.8941	234800	0.2648	-
0.8945	234900	0.3474	-
0.8949	235000	0.5104	-
0.8952	235100	0.4343	-
0.8956	235200	0.4932	-
0.8960	235300	0.5376	-
0.8964	235400	0.7225	-
0.8968	235500	0.7243	-
0.8971	235600	0.5738	-
0.8975	235700	0.4527	-
0.8979	235800	0.3631	-
0.8983	235900	0.621	-
0.8987	236000	0.7654	-
0.8990	236100	0.4442	-
0.8994	236200	0.4826	-
0.8998	236300	0.6425	-
0.9002	236400	0.5167	-
0.9006	236500	0.4275	-
0.9009	236600	0.4895	-
0.9013	236700	0.6323	-
0.9017	236800	0.4875	-
0.9021	236900	0.4837	-
0.9025	237000	0.7888	-
0.9028	237100	0.3966	-
0.9032	237200	0.5275	-
0.9036	237300	0.5194	-
0.9040	237400	0.4485	-
0.9044	237500	0.4416	-
0.9048	237600	0.4385	-
0.9051	237700	0.474	-
0.9055	237800	0.3858	-
0.9059	237900	0.4564	-
0.9063	238000	0.2765	-
0.9067	238100	0.3277	-
0.9070	238200	0.5536	-
0.9074	238300	0.6561	-
0.9078	238400	0.5067	-
0.9082	238500	0.5576	-
0.9086	238600	0.354	-
0.9089	238700	0.5394	-
0.9093	238800	0.7997	-
0.9097	238900	0.5379	-
0.9101	239000	0.3956	-
0.9105	239100	0.7486	-
0.9108	239200	0.4968	-
0.9112	239300	0.4718	-
0.9116	239400	0.7342	-
0.9120	239500	0.5092	-
0.9124	239600	0.6111	-
0.9127	239700	0.4843	-
0.9131	239800	0.5431	-
0.9135	239900	0.664	-
0.9139	240000	0.6729	-
0.9143	240100	0.5302	-
0.9147	240200	0.6453	-
0.9150	240300	0.304	-
0.9154	240400	0.4399	-
0.9158	240500	0.7038	-
0.9162	240600	0.5003	-
0.9166	240700	0.3695	-
0.9169	240800	0.6624	-
0.9173	240900	0.6859	-
0.9177	241000	0.5656	-
0.9181	241100	0.462	-
0.9185	241200	0.3739	-
0.9188	241300	0.6817	-
0.9192	241400	0.5706	-
0.9196	241500	0.4974	-
0.9200	241600	0.6155	-
0.9204	241700	0.7759	-
0.9207	241800	0.5302	-
0.9211	241900	0.5097	-
0.9215	242000	0.4636	-
0.9219	242100	0.7834	-
0.9223	242200	0.5279	-
0.9227	242300	0.6151	-
0.9230	242400	0.7496	-
0.9234	242500	0.3566	-
0.9238	242600	0.9014	-
0.9242	242700	0.4159	-
0.9246	242800	0.4844	-
0.9249	242900	0.7424	-
0.9253	243000	0.2891	-
0.9257	243100	0.5438	-
0.9261	243200	0.6248	-
0.9265	243300	0.5588	-
0.9268	243400	0.4017	-
0.9272	243500	0.6966	-
0.9276	243600	0.3978	-
0.9280	243700	0.4108	-
0.9284	243800	0.8418	-
0.9287	243900	0.4101	-
0.9291	244000	0.5784	-
0.9295	244100	0.572	-
0.9299	244200	0.5997	-
0.9303	244300	0.4889	-
0.9306	244400	0.3922	-
0.9310	244500	0.7852	-
0.9314	244600	0.6525	-
0.9318	244700	0.5549	-
0.9322	244800	0.9537	-
0.9326	244900	0.5812	-
0.9329	245000	0.3597	-
0.9333	245100	0.5469	-
0.9337	245200	0.4194	-
0.9341	245300	0.6841	-
0.9345	245400	0.5261	-
0.9348	245500	0.6339	-
0.9352	245600	0.7613	-
0.9356	245700	0.8861	-
0.9360	245800	0.5903	-
0.9364	245900	0.6223	-
0.9367	246000	0.7151	-
0.9371	246100	0.3387	-
0.9375	246200	0.3689	-
0.9379	246300	0.289	-
0.9383	246400	0.4858	-
0.9386	246500	0.5787	-
0.9390	246600	0.6169	-
0.9394	246700	0.5136	-
0.9398	246800	0.3815	-
0.9402	246900	0.7092	-
0.9405	247000	0.3778	-
0.9409	247100	0.5445	-
0.9413	247200	0.4262	-
0.9417	247300	0.3588	-
0.9421	247400	0.6423	-
0.9425	247500	0.4336	-
0.9428	247600	0.8143	-
0.9432	247700	0.5363	-
0.9436	247800	0.4344	-
0.9440	247900	0.4752	-
0.9444	248000	0.8244	-
0.9447	248100	0.3691	-
0.9451	248200	0.4401	-
0.9455	248300	0.5746	-
0.9459	248400	0.4811	-
0.9463	248500	0.5195	-
0.9466	248600	0.2782	-
0.9470	248700	0.5411	-
0.9474	248800	0.5006	-
0.9478	248900	0.707	-
0.9482	249000	0.7674	-
0.9485	249100	0.5983	-
0.9489	249200	0.4384	-
0.9493	249300	0.6452	-
0.9497	249400	0.3693	-
0.9501	249500	0.5773	-
0.9504	249600	0.4007	-
0.9508	249700	0.5712	-
0.9512	249800	0.5916	-
0.9516	249900	0.4738	-
0.9520	250000	0.7273	-
0.9524	250100	0.5027	-
0.9527	250200	0.4694	-
0.9531	250300	0.6231	-
0.9535	250400	0.5478	-
0.9539	250500	0.3831	-
0.9543	250600	0.5306	-
0.9546	250700	0.3705	-
0.9550	250800	0.7309	-
0.9554	250900	0.8617	-
0.9558	251000	0.492	-
0.9562	251100	0.5868	-
0.9565	251200	0.5281	-
0.9569	251300	0.6374	-
0.9573	251400	0.524	-
0.9577	251500	0.3733	-
0.9581	251600	0.5408	-
0.9584	251700	0.6047	-
0.9588	251800	0.614	-
0.9592	251900	0.5973	-
0.9596	252000	0.4558	-
0.9600	252100	0.6432	-
0.9603	252200	0.6836	-
0.9607	252300	0.5282	-
0.9611	252400	0.5887	-
0.9615	252500	0.4735	-
0.9619	252600	0.4053	-
0.9623	252700	0.587	-
0.9626	252800	0.4763	-
0.9630	252900	0.615	-
0.9634	253000	0.4118	-
0.9638	253100	0.3385	-
0.9642	253200	0.5588	-
0.9645	253300	0.7699	-
0.9649	253400	0.5138	-
0.9653	253500	0.5036	-
0.9657	253600	0.4774	-
0.9661	253700	0.745	-
0.9664	253800	0.4356	-
0.9668	253900	0.8047	-
0.9672	254000	0.5863	-
0.9676	254100	0.3806	-
0.9680	254200	0.4826	-
0.9683	254300	0.7081	-
0.9687	254400	0.4047	-
0.9691	254500	0.3081	-
0.9695	254600	0.6143	-
0.9699	254700	0.5809	-
0.9702	254800	0.5693	-
0.9706	254900	0.5273	-
0.9710	255000	0.6302	-
0.9714	255100	0.5358	-
0.9718	255200	0.4799	-
0.9722	255300	0.3185	-
0.9725	255400	0.6174	-
0.9729	255500	0.3568	-
0.9733	255600	0.4935	-
0.9737	255700	0.4261	-
0.9741	255800	0.3692	-
0.9744	255900	0.3814	-
0.9748	256000	0.6587	-
0.9752	256100	0.5651	-
0.9756	256200	0.2732	-
0.9760	256300	0.6004	-
0.9763	256400	0.3924	-
0.9767	256500	0.6215	-
0.9771	256600	0.3823	-
0.9775	256700	0.4718	-
0.9779	256800	0.3989	-
0.9782	256900	0.4923	-
0.9786	257000	0.6449	-
0.9790	257100	0.212	-
0.9794	257200	0.4028	-
0.9798	257300	0.716	-
0.9801	257400	0.4786	-
0.9805	257500	0.3888	-
0.9809	257600	0.5429	-
0.9813	257700	0.5339	-
0.9817	257800	0.6886	-
0.9821	257900	0.4929	-
0.9824	258000	0.525	-
0.9828	258100	0.8044	-
0.9832	258200	0.5733	-
0.9836	258300	0.4661	-
0.9840	258400	0.6086	-
0.9843	258500	0.2863	-
0.9847	258600	0.5827	-
0.9851	258700	0.4943	-
0.9855	258800	0.3846	-
0.9859	258900	0.343	-
0.9862	259000	0.4392	-
0.9866	259100	0.3806	-
0.9870	259200	0.3406	-
0.9874	259300	0.6047	-
0.9878	259400	0.5164	-
0.9881	259500	0.395	-
0.9885	259600	0.425	-
0.9889	259700	0.6045	-
0.9893	259800	0.4938	-
0.9897	259900	0.4431	-
0.9900	260000	0.6094	-
0.9904	260100	0.5344	-
0.9908	260200	0.7998	-
0.9912	260300	0.3816	-
0.9916	260400	0.7087	-
0.9920	260500	0.3714	-
0.9923	260600	0.584	-
0.9927	260700	0.5814	-
0.9931	260800	0.3739	-
0.9935	260900	0.4753	-
0.9939	261000	0.5622	-
0.9942	261100	0.5127	-
0.9946	261200	0.5931	-
0.9950	261300	0.2602	-
0.9954	261400	0.2945	-
0.9958	261500	0.7137	-
0.9961	261600	0.6898	-
0.9965	261700	0.6301	-
0.9969	261800	0.9115	-
0.9973	261900	0.5507	-
0.9977	262000	0.5353	-
0.9980	262100	0.8316	-
0.9984	262200	0.5084	-
0.9988	262300	0.487	-
0.9992	262400	0.5659	-
0.9996	262500	0.5834	-
1.0000	262600	0.4235	-

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},
}