SentenceTransformer based on google-bert/bert-base-uncased

This is a sentence-transformers model finetuned from google-bert/bert-base-uncased on the all-nli dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

Model Details

Model Description

Model Type: Sentence Transformer
Base model: google-bert/bert-base-uncased
Maximum Sequence Length: 512 tokens
Output Dimensionality: 768 dimensions
Similarity Function: Cosine Similarity
Training Dataset:
- all-nli
Language: en

Model Sources

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

Full Model Architecture

SentenceTransformer(
  (0): Transformer({'max_seq_length': 512, 'do_lower_case': False, 'architecture': 'BertModel'})
  (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
)

Usage

Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

pip install -U sentence-transformers

Then you can load this model and run inference.

from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("sentence_transformers_model_id")
# Run inference
sentences = [
    'A construction worker peeking out of a manhole while his coworker sits on the sidewalk smiling.',
    'A worker is looking out of a manhole.',
    'The workers are both inside the manhole.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 768]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities)
# tensor([[1.0000, 0.6197, 0.2750],
#         [0.6197, 1.0000, 0.4417],
#         [0.2750, 0.4417, 1.0000]])

Evaluation

Metrics

Semantic Similarity

Datasets: sts-dev and sts-test
Evaluated with EmbeddingSimilarityEvaluator

Metric	sts-dev	sts-test
pearson_cosine	0.8155	0.7897
spearman_cosine	0.8199	0.7971

Training Details

Training Dataset

all-nli

Dataset: all-nli at d482672
Size: 557,850 training samples
Columns: anchor, positive, and negative

Approximate statistics based on the first 1000 samples:

	anchor	positive	negative
type	string	string	string
details	min: 7 tokens mean: 10.46 tokens max: 46 tokens	min: 6 tokens mean: 12.81 tokens max: 40 tokens	min: 5 tokens mean: 13.4 tokens max: 50 tokens

Samples:

anchor	positive	negative
`A person on a horse jumps over a broken down airplane.`	`A person is outdoors, on a horse.`	`A person is at a diner, ordering an omelette.`
`Children smiling and waving at camera`	`There are children present`	`The kids are frowning`
`A boy is jumping on skateboard in the middle of a red bridge.`	`The boy does a skateboarding trick.`	`The boy skates down the sidewalk.`

Loss: MatryoshkaLoss with these parameters:

{
    "loss": "MultipleNegativesRankingLoss",
    "matryoshka_dims": [
        768,
        64
    ],
    "matryoshka_weights": [
        1,
        1
    ],
    "n_dims_per_step": -1
}

Evaluation Dataset

all-nli

Dataset: all-nli at d482672
Size: 6,584 evaluation samples
Columns: anchor, positive, and negative

Approximate statistics based on the first 1000 samples:

	anchor	positive	negative
type	string	string	string
details	min: 6 tokens mean: 17.95 tokens max: 63 tokens	min: 4 tokens mean: 9.78 tokens max: 29 tokens	min: 5 tokens mean: 10.35 tokens max: 29 tokens

Samples:

anchor	positive	negative
`Two women are embracing while holding to go packages.`	`Two woman are holding packages.`	`The men are fighting outside a deli.`
`Two young children in blue jerseys, one with the number 9 and one with the number 2 are standing on wooden steps in a bathroom and washing their hands in a sink.`	`Two kids in numbered jerseys wash their hands.`	`Two kids in jackets walk to school.`
`A man selling donuts to a customer during a world exhibition event held in the city of Angeles`	`A man selling donuts to a customer.`	`A woman drinks her coffee in a small cafe.`

Loss: MatryoshkaLoss with these parameters:

{
    "loss": "MultipleNegativesRankingLoss",
    "matryoshka_dims": [
        768,
        64
    ],
    "matryoshka_weights": [
        1,
        1
    ],
    "n_dims_per_step": -1
}

Training Hyperparameters

Non-Default Hyperparameters

eval_strategy: steps
per_device_train_batch_size: 16
per_device_eval_batch_size: 16
num_train_epochs: 5
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: 16
per_device_eval_batch_size: 16
per_gpu_train_batch_size: None
per_gpu_eval_batch_size: None
gradient_accumulation_steps: 1
eval_accumulation_steps: None
torch_empty_cache_steps: None
learning_rate: 5e-05
weight_decay: 0.0
adam_beta1: 0.9
adam_beta2: 0.999
adam_epsilon: 1e-08
max_grad_norm: 1.0
num_train_epochs: 5
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
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}
parallelism_config: None
deepspeed: None
label_smoothing_factor: 0.0
optim: adamw_torch_fused
optim_args: None
adafactor: False
group_by_length: False
length_column_name: length
project: huggingface
trackio_space_id: trackio
ddp_find_unused_parameters: None
ddp_bucket_cap_mb: None
ddp_broadcast_buffers: False
dataloader_pin_memory: True
dataloader_persistent_workers: False
skip_memory_metrics: True
use_legacy_prediction_loop: False
push_to_hub: False
resume_from_checkpoint: None
hub_model_id: None
hub_strategy: every_save
hub_private_repo: None
hub_always_push: False
hub_revision: None
gradient_checkpointing: False
gradient_checkpointing_kwargs: None
include_inputs_for_metrics: False
include_for_metrics: []
eval_do_concat_batches: True
fp16_backend: auto
push_to_hub_model_id: None
push_to_hub_organization: None
mp_parameters:
auto_find_batch_size: False
full_determinism: False
torchdynamo: None
ray_scope: last
ddp_timeout: 1800
torch_compile: False
torch_compile_backend: None
torch_compile_mode: None
include_tokens_per_second: False
include_num_input_tokens_seen: no
neftune_noise_alpha: None
optim_target_modules: None
batch_eval_metrics: False
eval_on_start: False
use_liger_kernel: False
liger_kernel_config: None
eval_use_gather_object: False
average_tokens_across_devices: True
prompts: None
batch_sampler: batch_sampler
multi_dataset_batch_sampler: proportional
router_mapping: {}
learning_rate_mapping: {}

Training Logs

Click to expand

Epoch	Step	Training Loss	Validation Loss	sts-dev_spearman_cosine	sts-test_spearman_cosine
-1	-1	-	-	0.5931	-
0.0029	100	4.5786	3.0436	0.6114	-
0.0057	200	4.3076	2.5948	0.6696	-
0.0086	300	3.3616	2.0170	0.7492	-
0.0115	400	2.5396	1.6344	0.7876	-
0.0143	500	2.1291	1.4586	0.7997	-
0.0172	600	1.9095	1.3504	0.8062	-
0.0201	700	1.6818	1.2709	0.8108	-
0.0229	800	1.6825	1.1991	0.8150	-
0.0258	900	1.6764	1.1342	0.8178	-
0.0287	1000	1.4787	1.0798	0.8213	-
0.0315	1100	1.5056	1.0149	0.8227	-
0.0344	1200	1.3607	0.9581	0.8248	-
0.0373	1300	1.4247	0.9132	0.8280	-
0.0402	1400	1.2938	0.8835	0.8279	-
0.0430	1500	1.2199	0.8676	0.8307	-
0.0459	1600	1.2616	0.8356	0.8328	-
0.0488	1700	1.1192	0.8238	0.8307	-
0.0516	1800	1.1955	0.8008	0.8299	-
0.0545	1900	1.2632	0.7800	0.8310	-
0.0574	2000	1.0363	0.7714	0.8290	-
0.0602	2100	1.092	0.7676	0.8311	-
0.0631	2200	1.0639	0.7436	0.8325	-
0.0660	2300	1.0843	0.7310	0.8322	-
0.0688	2400	0.9849	0.7190	0.8330	-
0.0717	2500	1.1032	0.7132	0.8350	-
0.0746	2600	1.0612	0.7104	0.8354	-
0.0774	2700	1.0254	0.6768	0.8405	-
0.0803	2800	1.0838	0.6702	0.8361	-
0.0832	2900	0.9763	0.6714	0.8390	-
0.0860	3000	0.9815	0.6659	0.8365	-
0.0889	3100	1.0009	0.6673	0.8337	-
0.0918	3200	0.9057	0.6476	0.8349	-
0.0946	3300	0.9932	0.6379	0.8377	-
0.0975	3400	0.9271	0.6264	0.8375	-
0.1004	3500	0.9493	0.6344	0.8369	-
0.1033	3600	1.0189	0.6250	0.8373	-
0.1061	3700	0.9419	0.6191	0.8350	-
0.1090	3800	0.92	0.6200	0.8365	-
0.1119	3900	0.9122	0.6067	0.8393	-
0.1147	4000	0.8892	0.6080	0.8369	-
0.1176	4100	0.8653	0.6025	0.8399	-
0.1205	4200	0.8945	0.6013	0.8386	-
0.1233	4300	0.9031	0.5840	0.8393	-
0.1262	4400	0.9359	0.5861	0.8361	-
0.1291	4500	0.7814	0.5744	0.8373	-
0.1319	4600	0.8258	0.5847	0.8356	-
0.1348	4700	0.8412	0.5854	0.8361	-
0.1377	4800	0.7641	0.5762	0.8368	-
0.1405	4900	0.8122	0.5674	0.8379	-
0.1434	5000	0.7961	0.5643	0.8339	-
0.1463	5100	0.8086	0.5785	0.8328	-
0.1491	5200	0.837	0.5489	0.8383	-
0.1520	5300	0.7835	0.5560	0.8399	-
0.1549	5400	0.7723	0.5494	0.8399	-
0.1577	5500	0.9365	0.5508	0.8461	-
0.1606	5600	0.8095	0.5474	0.8341	-
0.1635	5700	0.7848	0.5342	0.8429	-
0.1664	5800	0.8878	0.5394	0.8392	-
0.1692	5900	0.7972	0.5528	0.8326	-
0.1721	6000	0.7316	0.5388	0.8429	-
0.1750	6100	0.7333	0.5430	0.8412	-
0.1778	6200	0.8127	0.5387	0.8383	-
0.1807	6300	0.6688	0.5426	0.8407	-
0.1836	6400	0.8131	0.5368	0.8362	-
0.1864	6500	0.7343	0.5288	0.8376	-
0.1893	6600	0.7565	0.5291	0.8336	-
0.1922	6700	0.8358	0.5250	0.8356	-
0.1950	6800	0.7402	0.5274	0.8407	-
0.1979	6900	0.7376	0.5316	0.8341	-
0.2008	7000	0.7901	0.5144	0.8353	-
0.2036	7100	0.7116	0.5170	0.8320	-
0.2065	7200	0.712	0.5432	0.8308	-
0.2094	7300	0.7551	0.5210	0.8342	-
0.2122	7400	0.7337	0.5176	0.8341	-
0.2151	7500	0.7477	0.5135	0.8336	-
0.2180	7600	0.6758	0.5323	0.8348	-
0.2208	7700	0.8467	0.5179	0.8411	-
0.2237	7800	0.7342	0.5209	0.8377	-
0.2266	7900	0.7925	0.5101	0.8386	-
0.2294	8000	0.6548	0.5311	0.8332	-
0.2323	8100	0.7982	0.5165	0.8365	-
0.2352	8200	0.6897	0.5159	0.8447	-
0.2381	8300	0.7212	0.5151	0.8442	-
0.2409	8400	0.7185	0.5159	0.8376	-
0.2438	8500	0.6792	0.5327	0.8313	-
0.2467	8600	0.745	0.5220	0.8295	-
0.2495	8700	0.7491	0.5055	0.8392	-
0.2524	8800	0.7594	0.5123	0.8349	-
0.2553	8900	0.7387	0.4998	0.8347	-
0.2581	9000	0.6803	0.5156	0.8403	-
0.2610	9100	0.6666	0.5212	0.8314	-
0.2639	9200	0.7477	0.4989	0.8322	-
0.2667	9300	0.7037	0.5116	0.8356	-
0.2696	9400	0.7851	0.5117	0.8340	-
0.2725	9500	0.7453	0.5303	0.8344	-
0.2753	9600	0.6548	0.5270	0.8411	-
0.2782	9700	0.6747	0.5339	0.8361	-
0.2811	9800	0.691	0.5229	0.8325	-
0.2839	9900	0.7224	0.5362	0.8331	-
0.2868	10000	0.7043	0.5252	0.8308	-
0.2897	10100	0.7139	0.5322	0.8282	-
0.2925	10200	0.686	0.5232	0.8373	-
0.2954	10300	0.7128	0.5409	0.8404	-
0.2983	10400	0.731	0.5124	0.8424	-
0.3012	10500	0.6063	0.5072	0.8380	-
0.3040	10600	0.6362	0.5143	0.8353	-
0.3069	10700	0.7108	0.5051	0.8351	-
0.3098	10800	0.7122	0.5152	0.8359	-
0.3126	10900	0.7278	0.5499	0.8363	-
0.3155	11000	0.6251	0.5206	0.8368	-
0.3184	11100	0.7147	0.5086	0.8251	-
0.3212	11200	0.6829	0.5014	0.8264	-
0.3241	11300	0.7043	0.5147	0.8333	-
0.3270	11400	0.7103	0.4952	0.8231	-
0.3298	11500	0.6643	0.5171	0.8316	-
0.3327	11600	0.7244	0.5058	0.8332	-
0.3356	11700	0.6874	0.5209	0.8301	-
0.3384	11800	0.7794	0.5412	0.8390	-
0.3413	11900	0.6519	0.5291	0.8315	-
0.3442	12000	0.7061	0.5265	0.8330	-
0.3470	12100	0.7121	0.5265	0.8322	-
0.3499	12200	0.7062	0.4886	0.8417	-
0.3528	12300	0.7389	0.5040	0.8422	-
0.3556	12400	0.6898	0.5450	0.8254	-
0.3585	12500	0.7473	0.5146	0.8300	-
0.3614	12600	0.6726	0.4949	0.8315	-
0.3643	12700	0.6976	0.5145	0.8285	-
0.3671	12800	0.755	0.4993	0.8357	-
0.3700	12900	0.7033	0.5055	0.8356	-
0.3729	13000	0.6381	0.5135	0.8323	-
0.3757	13100	0.7318	0.5232	0.8317	-
0.3786	13200	0.7076	0.5170	0.8321	-
0.3815	13300	0.7588	0.5151	0.8303	-
0.3843	13400	0.7268	0.5093	0.8309	-
0.3872	13500	0.693	0.5212	0.8306	-
0.3901	13600	0.7142	0.5396	0.8243	-
0.3929	13700	0.7159	0.5206	0.8359	-
0.3958	13800	0.6868	0.5259	0.8334	-
0.3987	13900	0.538	0.5223	0.8360	-
0.4015	14000	0.6407	0.5462	0.8243	-
0.4044	14100	0.6624	0.5155	0.8326	-
0.4073	14200	0.6757	0.5413	0.8339	-
0.4101	14300	0.7632	0.5270	0.8233	-
0.4130	14400	0.7519	0.5090	0.8302	-
0.4159	14500	0.6563	0.5332	0.8317	-
0.4187	14600	0.6354	0.5227	0.8367	-
0.4216	14700	0.5812	0.5213	0.8331	-
0.4245	14800	0.611	0.5480	0.8259	-
0.4274	14900	0.6929	0.5691	0.8176	-
0.4302	15000	0.7502	0.5547	0.8222	-
0.4331	15100	0.681	0.5576	0.8257	-
0.4360	15200	0.6748	0.5290	0.8256	-
0.4388	15300	0.6772	0.5469	0.8181	-
0.4417	15400	0.7145	0.5340	0.8203	-
0.4446	15500	0.6645	0.5549	0.8144	-
0.4474	15600	0.6637	0.5447	0.8281	-
0.4503	15700	0.6584	0.5418	0.8268	-
0.4532	15800	0.6296	0.5302	0.8294	-
0.4560	15900	0.6231	0.5492	0.8268	-
0.4589	16000	0.6146	0.5523	0.8217	-
0.4618	16100	0.7127	0.5789	0.8267	-
0.4646	16200	0.788	0.5501	0.8283	-
0.4675	16300	0.6794	0.5558	0.8280	-
0.4704	16400	0.6748	0.5524	0.8198	-
0.4732	16500	0.756	0.5579	0.8318	-
0.4761	16600	0.664	0.5344	0.8316	-
0.4790	16700	0.7106	0.5633	0.8312	-
0.4818	16800	0.6797	0.5349	0.8186	-
0.4847	16900	0.7059	0.5507	0.8178	-
0.4876	17000	0.6144	0.5580	0.8161	-
0.4904	17100	0.6718	0.5931	0.8005	-
0.4933	17200	0.7537	0.5691	0.8107	-
0.4962	17300	0.6926	0.5557	0.8124	-
0.4991	17400	0.6135	0.5820	0.8083	-
0.5019	17500	0.7507	0.5668	0.8095	-
0.5048	17600	0.6885	0.5485	0.8253	-
0.5077	17700	0.698	0.5498	0.8282	-
0.5105	17800	0.6691	0.5629	0.8251	-
0.5134	17900	0.6832	0.5572	0.8230	-
0.5163	18000	0.6677	0.5712	0.8126	-
0.5191	18100	0.6327	0.5937	0.8259	-
0.5220	18200	0.6617	0.6393	0.8085	-
0.5249	18300	0.7121	0.5785	0.8219	-
0.5277	18400	0.7113	0.5623	0.8191	-
0.5306	18500	0.7211	0.5552	0.8216	-
0.5335	18600	0.705	0.5781	0.8278	-
0.5363	18700	0.6836	0.5911	0.8114	-
0.5392	18800	0.6577	0.5613	0.8152	-
0.5421	18900	0.5729	0.5653	0.8168	-
0.5449	19000	0.6082	0.5685	0.8193	-
0.5478	19100	0.6644	0.5648	0.8193	-
0.5507	19200	0.6133	0.5460	0.8230	-
0.5535	19300	0.6769	0.5444	0.8159	-
0.5564	19400	0.6571	0.5641	0.8185	-
0.5593	19500	0.6562	0.5746	0.8189	-
0.5622	19600	0.6341	0.5507	0.8313	-
0.5650	19700	0.6308	0.5661	0.8261	-
0.5679	19800	0.7261	0.5339	0.8250	-
0.5708	19900	0.5485	0.5364	0.8279	-
0.5736	20000	0.6383	0.5575	0.8159	-
0.5765	20100	0.7019	0.5305	0.8239	-
0.5794	20200	0.6936	0.5502	0.8184	-
0.5822	20300	0.6255	0.5513	0.8159	-
0.5851	20400	0.6686	0.5497	0.8172	-
0.5880	20500	0.6026	0.5389	0.8269	-
0.5908	20600	0.6477	0.5523	0.8260	-
0.5937	20700	0.635	0.5383	0.8244	-
0.5966	20800	0.6542	0.5483	0.8193	-
0.5994	20900	0.6562	0.5482	0.8209	-
0.6023	21000	0.6261	0.5624	0.8266	-
0.6052	21100	0.6059	0.5573	0.8199	-
0.6080	21200	0.6642	0.5511	0.8207	-
0.6109	21300	0.7099	0.5463	0.8283	-
0.6138	21400	0.5576	0.5755	0.8168	-
0.6166	21500	0.6077	0.5481	0.8289	-
0.6195	21600	0.6103	0.5582	0.8277	-
0.6224	21700	0.6749	0.5361	0.8226	-
0.6253	21800	0.6102	0.5607	0.8174	-
0.6281	21900	0.6339	0.5610	0.8144	-
0.6310	22000	0.5764	0.5738	0.8108	-
0.6339	22100	0.6714	0.5604	0.8086	-
0.6367	22200	0.6787	0.5299	0.8209	-
0.6396	22300	0.621	0.5422	0.8224	-
0.6425	22400	0.638	0.5396	0.8193	-
0.6453	22500	0.593	0.5604	0.8203	-
0.6482	22600	0.6295	0.5454	0.8272	-
0.6511	22700	0.6135	0.5783	0.8166	-
0.6539	22800	0.5804	0.5884	0.8160	-
0.6568	22900	0.6277	0.5534	0.8208	-
0.6597	23000	0.5333	0.5394	0.8208	-
0.6625	23100	0.7298	0.5378	0.8222	-
0.6654	23200	0.6677	0.5451	0.8162	-
0.6683	23300	0.6323	0.5528	0.8193	-
0.6711	23400	0.5063	0.5524	0.8198	-
0.6740	23500	0.649	0.5438	0.8183	-
0.6769	23600	0.6075	0.5565	0.8283	-
0.6797	23700	0.5075	0.5530	0.8258	-
0.6826	23800	0.6472	0.5635	0.8274	-
0.6855	23900	0.55	0.5846	0.8230	-
0.6883	24000	0.5452	0.5432	0.8271	-
0.6912	24100	0.5956	0.5387	0.8195	-
0.6941	24200	0.6282	0.5412	0.8160	-
0.6970	24300	0.6167	0.5348	0.8227	-
0.6998	24400	0.5959	0.5458	0.8272	-
0.7027	24500	0.6189	0.5606	0.8279	-
0.7056	24600	0.5836	0.5717	0.8189	-
0.7084	24700	0.6089	0.5368	0.8260	-
0.7113	24800	0.5297	0.5671	0.8197	-
0.7142	24900	0.6118	0.5381	0.8292	-
0.7170	25000	0.6297	0.5332	0.8229	-
0.7199	25100	0.6491	0.5444	0.8257	-
0.7228	25200	0.5059	0.5440	0.8257	-
0.7256	25300	0.5945	0.5295	0.8245	-
0.7285	25400	0.5488	0.5404	0.8254	-
0.7314	25500	0.6784	0.5448	0.8284	-
0.7342	25600	0.5357	0.5295	0.8229	-
0.7371	25700	0.5694	0.5647	0.8219	-
0.7400	25800	0.6017	0.5534	0.8207	-
0.7428	25900	0.6742	0.5372	0.8193	-
0.7457	26000	0.5983	0.5209	0.8236	-
0.7486	26100	0.6007	0.5429	0.8254	-
0.7514	26200	0.5987	0.5292	0.8188	-
0.7543	26300	0.6256	0.5202	0.8222	-
0.7572	26400	0.5969	0.5143	0.8223	-
0.7601	26500	0.6131	0.5374	0.8203	-
0.7629	26600	0.5788	0.5198	0.8269	-
0.7658	26700	0.5561	0.5208	0.8198	-
0.7687	26800	0.593	0.5418	0.8164	-
0.7715	26900	0.5274	0.5762	0.8073	-
0.7744	27000	0.6235	0.5359	0.8100	-
0.7773	27100	0.5154	0.5257	0.8144	-
0.7801	27200	0.5831	0.5321	0.8199	-
0.7830	27300	0.5833	0.5350	0.8137	-
0.7859	27400	0.5986	0.5417	0.8181	-
0.7887	27500	0.5812	0.5533	0.8194	-
0.7916	27600	0.5598	0.5625	0.8152	-
0.7945	27700	0.5562	0.5349	0.8149	-
0.7973	27800	0.5956	0.5211	0.8220	-
0.8002	27900	0.5766	0.5191	0.8212	-
0.8031	28000	0.4976	0.5324	0.8196	-
0.8059	28100	0.5742	0.5055	0.8301	-
0.8088	28200	0.5603	0.5340	0.8161	-
0.8117	28300	0.5128	0.5227	0.8179	-
0.8145	28400	0.5533	0.5215	0.8267	-
0.8174	28500	0.5239	0.5334	0.8167	-
0.8203	28600	0.5923	0.5134	0.8265	-
0.8232	28700	0.5052	0.5225	0.8232	-
0.8260	28800	0.4908	0.5317	0.8271	-
0.8289	28900	0.6467	0.5192	0.8324	-
0.8318	29000	0.5381	0.5177	0.8244	-
0.8346	29100	0.5318	0.5238	0.8185	-
0.8375	29200	0.5296	0.5571	0.8124	-
0.8404	29300	0.5242	0.5620	0.8170	-
0.8432	29400	0.6279	0.5291	0.8140	-
0.8461	29500	0.5205	0.5399	0.8166	-
0.8490	29600	0.5213	0.5395	0.8186	-
0.8518	29700	0.4629	0.5323	0.8137	-
0.8547	29800	0.5727	0.5190	0.8133	-
0.8576	29900	0.6723	0.5006	0.8154	-
0.8604	30000	0.5609	0.5092	0.8113	-
0.8633	30100	0.5889	0.5021	0.8143	-
0.8662	30200	0.5845	0.5086	0.8112	-
0.8690	30300	0.5616	0.5131	0.8124	-
0.8719	30400	0.5423	0.5456	0.8082	-
0.8748	30500	0.5655	0.5203	0.8159	-
0.8776	30600	0.5248	0.5034	0.8152	-
0.8805	30700	0.5144	0.5393	0.8264	-
0.8834	30800	0.5238	0.5186	0.8185	-
0.8863	30900	0.6085	0.4878	0.8114	-
0.8891	31000	0.567	0.5155	0.8188	-
0.8920	31100	0.5144	0.5061	0.8060	-
0.8949	31200	0.5538	0.5029	0.8086	-
0.8977	31300	0.547	0.4910	0.8130	-
0.9006	31400	0.4807	0.5020	0.8177	-
0.9035	31500	0.4937	0.5105	0.8152	-
0.9063	31600	0.5307	0.5099	0.8188	-
0.9092	31700	0.5586	0.5111	0.8177	-
0.9121	31800	0.5664	0.5346	0.8175	-
0.9149	31900	0.5825	0.5109	0.8190	-
0.9178	32000	0.5718	0.5054	0.8128	-
0.9207	32100	0.5616	0.5053	0.8197	-
0.9235	32200	0.5144	0.4914	0.8168	-
0.9264	32300	0.5574	0.5125	0.8190	-
0.9293	32400	0.5257	0.4995	0.8173	-
0.9321	32500	0.4972	0.5039	0.8174	-
0.9350	32600	0.5612	0.4909	0.8141	-
0.9379	32700	0.4986	0.5420	0.8072	-
0.9407	32800	0.5381	0.4996	0.8200	-
0.9436	32900	0.6315	0.4851	0.8173	-
0.9465	33000	0.5724	0.4837	0.8220	-
0.9493	33100	0.4823	0.4857	0.8091	-
0.9522	33200	0.4577	0.4860	0.8201	-
0.9551	33300	0.4894	0.4805	0.8166	-
0.9580	33400	0.4492	0.4900	0.8210	-
0.9608	33500	0.501	0.5083	0.8233	-
0.9637	33600	0.5865	0.4790	0.8212	-
0.9666	33700	0.4808	0.4998	0.8241	-
0.9694	33800	0.4545	0.5128	0.8207	-
0.9723	33900	0.5052	0.4911	0.8164	-
0.9752	34000	0.5238	0.4836	0.8195	-
0.9780	34100	0.5731	0.4912	0.8168	-
0.9809	34200	0.5402	0.4921	0.8203	-
0.9838	34300	0.5004	0.4768	0.8227	-
0.9866	34400	0.5642	0.4812	0.8291	-
0.9895	34500	0.5272	0.4891	0.8148	-
0.9924	34600	0.5284	0.4882	0.8253	-
0.9952	34700	0.5123	0.4880	0.8245	-
0.9981	34800	0.5692	0.4832	0.8129	-
1.0010	34900	0.42	0.5188	0.8173	-
1.0038	35000	0.4121	0.4935	0.8181	-
1.0067	35100	0.3846	0.5240	0.8158	-
1.0096	35200	0.3917	0.4996	0.8192	-
1.0124	35300	0.4314	0.4916	0.8185	-
1.0153	35400	0.401	0.4921	0.8180	-
1.0182	35500	0.3605	0.5129	0.8174	-
1.0211	35600	0.3384	0.5211	0.8155	-
1.0239	35700	0.3656	0.5454	0.8115	-
1.0268	35800	0.4067	0.5158	0.8211	-
1.0297	35900	0.4077	0.5041	0.8201	-
1.0325	36000	0.4034	0.5019	0.8199	-
1.0354	36100	0.442	0.4996	0.8138	-
1.0383	36200	0.357	0.4965	0.8258	-
1.0411	36300	0.4098	0.5054	0.8230	-
1.0440	36400	0.4513	0.5002	0.8170	-
1.0469	36500	0.3704	0.4956	0.8254	-
1.0497	36600	0.3569	0.5130	0.8262	-
1.0526	36700	0.4153	0.5270	0.8195	-
1.0555	36800	0.3747	0.5301	0.8144	-
1.0583	36900	0.3848	0.5135	0.8144	-
1.0612	37000	0.4151	0.5410	0.8151	-
1.0641	37100	0.3509	0.5156	0.8170	-
1.0669	37200	0.4729	0.5287	0.8041	-
1.0698	37300	0.426	0.4969	0.8151	-
1.0727	37400	0.3862	0.5132	0.8110	-
1.0755	37500	0.3497	0.5243	0.8221	-
1.0784	37600	0.4667	0.5094	0.8192	-
1.0813	37700	0.3475	0.5034	0.8144	-
1.0842	37800	0.4461	0.4861	0.8159	-
1.0870	37900	0.3286	0.5123	0.8194	-
1.0899	38000	0.459	0.5003	0.8138	-
1.0928	38100	0.4372	0.5255	0.8073	-
1.0956	38200	0.3879	0.5053	0.8158	-
1.0985	38300	0.3686	0.5051	0.8159	-
1.1014	38400	0.3885	0.4978	0.8184	-
1.1042	38500	0.3814	0.4806	0.8159	-
1.1071	38600	0.3964	0.4934	0.8151	-
1.1100	38700	0.4646	0.4933	0.8092	-
1.1128	38800	0.4322	0.4891	0.8114	-
1.1157	38900	0.4197	0.5001	0.8106	-
1.1186	39000	0.4121	0.4948	0.8150	-
1.1214	39100	0.3819	0.4987	0.8157	-
1.1243	39200	0.4305	0.5006	0.8120	-
1.1272	39300	0.4208	0.5028	0.8138	-
1.1300	39400	0.4278	0.4916	0.8137	-
1.1329	39500	0.4312	0.5064	0.8087	-
1.1358	39600	0.4075	0.5110	0.8078	-
1.1386	39700	0.4252	0.5123	0.8079	-
1.1415	39800	0.4324	0.4880	0.8173	-
1.1444	39900	0.4251	0.4923	0.8138	-
1.1472	40000	0.4241	0.4979	0.8181	-
1.1501	40100	0.4471	0.4866	0.8159	-
1.1530	40200	0.373	0.4967	0.8197	-
1.1559	40300	0.3916	0.5287	0.8231	-
1.1587	40400	0.4081	0.5145	0.8201	-
1.1616	40500	0.419	0.4937	0.8183	-
1.1645	40600	0.3895	0.4936	0.8200	-
1.1673	40700	0.4554	0.5330	0.8112	-
1.1702	40800	0.4367	0.4817	0.8225	-
1.1731	40900	0.3337	0.5068	0.8219	-
1.1759	41000	0.4145	0.4820	0.8176	-
1.1788	41100	0.3862	0.4751	0.8181	-
1.1817	41200	0.4207	0.5053	0.8120	-
1.1845	41300	0.424	0.4917	0.8211	-
1.1874	41400	0.3973	0.4859	0.8145	-
1.1903	41500	0.428	0.5104	0.8157	-
1.1931	41600	0.4196	0.4751	0.8243	-
1.1960	41700	0.3992	0.5059	0.8190	-
1.1989	41800	0.4463	0.4882	0.8256	-
1.2017	41900	0.3525	0.5147	0.8175	-
1.2046	42000	0.3796	0.4878	0.8182	-
1.2075	42100	0.3993	0.5022	0.8168	-
1.2103	42200	0.4491	0.4907	0.8167	-
1.2132	42300	0.3636	0.5197	0.8164	-
1.2161	42400	0.4953	0.5022	0.8201	-
1.2190	42500	0.4916	0.4902	0.8242	-
1.2218	42600	0.4594	0.4951	0.8229	-
1.2247	42700	0.382	0.5315	0.8210	-
1.2276	42800	0.4292	0.4856	0.8257	-
1.2304	42900	0.3893	0.4954	0.8187	-
1.2333	43000	0.3688	0.5072	0.8200	-
1.2362	43100	0.3541	0.5185	0.8216	-
1.2390	43200	0.3637	0.5021	0.8241	-
1.2419	43300	0.4021	0.5023	0.8197	-
1.2448	43400	0.3963	0.5315	0.8180	-
1.2476	43500	0.4364	0.5052	0.8136	-
1.2505	43600	0.4089	0.5053	0.8177	-
1.2534	43700	0.4514	0.4973	0.8173	-
1.2562	43800	0.3598	0.4927	0.8221	-
1.2591	43900	0.3555	0.5239	0.8159	-
1.2620	44000	0.355	0.5123	0.8265	-
1.2648	44100	0.3569	0.5088	0.8254	-
1.2677	44200	0.3643	0.4944	0.8248	-
1.2706	44300	0.3678	0.5288	0.8284	-
1.2734	44400	0.4079	0.4938	0.8217	-
1.2763	44500	0.387	0.4868	0.8239	-
1.2792	44600	0.4271	0.4876	0.8265	-
1.2821	44700	0.417	0.4819	0.8235	-
1.2849	44800	0.3924	0.4896	0.8206	-
1.2878	44900	0.3565	0.4904	0.8234	-
1.2907	45000	0.3286	0.5096	0.8160	-
1.2935	45100	0.3767	0.4918	0.8190	-
1.2964	45200	0.3702	0.4818	0.8221	-
1.2993	45300	0.3344	0.5034	0.8241	-
1.3021	45400	0.3794	0.4946	0.8186	-
1.3050	45500	0.4089	0.4636	0.8241	-
1.3079	45600	0.3791	0.4530	0.8277	-
1.3107	45700	0.4026	0.4697	0.8246	-
1.3136	45800	0.3727	0.4830	0.8164	-
1.3165	45900	0.3992	0.4791	0.8222	-
1.3193	46000	0.4065	0.4591	0.8205	-
1.3222	46100	0.3985	0.4706	0.8224	-
1.3251	46200	0.3747	0.4760	0.8277	-
1.3279	46300	0.381	0.4741	0.8264	-
1.3308	46400	0.4052	0.4832	0.8232	-
1.3337	46500	0.4208	0.4968	0.8207	-
1.3365	46600	0.3347	0.4975	0.8231	-
1.3394	46700	0.4111	0.4881	0.8191	-
1.3423	46800	0.387	0.4823	0.8215	-
1.3452	46900	0.3361	0.4867	0.8235	-
1.3480	47000	0.4018	0.4834	0.8184	-
1.3509	47100	0.4183	0.4908	0.8213	-
1.3538	47200	0.3394	0.4829	0.8190	-
1.3566	47300	0.403	0.4903	0.8196	-
1.3595	47400	0.4286	0.4981	0.8204	-
1.3624	47500	0.3088	0.5159	0.8187	-
1.3652	47600	0.4274	0.5328	0.8183	-
1.3681	47700	0.3781	0.4966	0.8156	-
1.3710	47800	0.3421	0.5160	0.8183	-
1.3738	47900	0.3806	0.5075	0.8198	-
1.3767	48000	0.3937	0.5244	0.8204	-
1.3796	48100	0.3932	0.5152	0.8178	-
1.3824	48200	0.3897	0.5099	0.8184	-
1.3853	48300	0.4108	0.4923	0.8230	-
1.3882	48400	0.3792	0.4743	0.8209	-
1.3910	48500	0.4095	0.4707	0.8247	-
1.3939	48600	0.363	0.4983	0.8227	-
1.3968	48700	0.3869	0.5028	0.8169	-
1.3996	48800	0.3459	0.4784	0.8208	-
1.4025	48900	0.35	0.4898	0.8279	-
1.4054	49000	0.4096	0.4841	0.8258	-
1.4082	49100	0.4105	0.5168	0.8250	-
1.4111	49200	0.3794	0.4808	0.8252	-
1.4140	49300	0.3647	0.5056	0.8224	-
1.4169	49400	0.3541	0.5030	0.8301	-
1.4197	49500	0.3779	0.4992	0.8198	-
1.4226	49600	0.4187	0.4988	0.8208	-
1.4255	49700	0.3444	0.5002	0.8174	-
1.4283	49800	0.3495	0.4912	0.8158	-
1.4312	49900	0.3511	0.4761	0.8178	-
1.4341	50000	0.3443	0.4997	0.8262	-
1.4369	50100	0.327	0.4838	0.8224	-
1.4398	50200	0.382	0.4787	0.8191	-
1.4427	50300	0.3646	0.4879	0.8166	-
1.4455	50400	0.3553	0.4853	0.8204	-
1.4484	50500	0.3637	0.5010	0.8216	-
1.4513	50600	0.3951	0.5148	0.8198	-
1.4541	50700	0.4072	0.4943	0.8231	-
1.4570	50800	0.41	0.4941	0.8289	-
1.4599	50900	0.4013	0.5025	0.8232	-
1.4627	51000	0.3924	0.5018	0.8186	-
1.4656	51100	0.3422	0.4835	0.8225	-
1.4685	51200	0.4104	0.4994	0.8110	-
1.4713	51300	0.3868	0.4919	0.8170	-
1.4742	51400	0.3212	0.5222	0.8134	-
1.4771	51500	0.3886	0.5152	0.8212	-
1.4800	51600	0.3377	0.4974	0.8264	-
1.4828	51700	0.3769	0.4788	0.8284	-
1.4857	51800	0.3558	0.4921	0.8210	-
1.4886	51900	0.3444	0.4819	0.8254	-
1.4914	52000	0.3367	0.4979	0.8233	-
1.4943	52100	0.3827	0.5034	0.8204	-
1.4972	52200	0.3516	0.5142	0.8233	-
1.5000	52300	0.386	0.4977	0.8218	-
1.5029	52400	0.3672	0.4905	0.8247	-
1.5058	52500	0.3703	0.4756	0.8250	-
1.5086	52600	0.3645	0.4791	0.8280	-
1.5115	52700	0.4054	0.4715	0.8303	-
1.5144	52800	0.2649	0.5030	0.8247	-
1.5172	52900	0.3745	0.5041	0.8235	-
1.5201	53000	0.3164	0.4981	0.8253	-
1.5230	53100	0.2933	0.4898	0.8262	-
1.5258	53200	0.3678	0.4783	0.8256	-
1.5287	53300	0.3262	0.4800	0.8296	-
1.5316	53400	0.3909	0.4734	0.8319	-
1.5344	53500	0.3659	0.4919	0.8282	-
1.5373	53600	0.3442	0.4830	0.8312	-
1.5402	53700	0.3481	0.4833	0.8270	-
1.5431	53800	0.382	0.4688	0.8257	-
1.5459	53900	0.3547	0.4901	0.8284	-
1.5488	54000	0.3415	0.5170	0.8242	-
1.5517	54100	0.3996	0.4880	0.8250	-
1.5545	54200	0.393	0.5204	0.8244	-
1.5574	54300	0.4348	0.4903	0.8237	-
1.5603	54400	0.3119	0.4983	0.8234	-
1.5631	54500	0.3802	0.4981	0.8183	-
1.5660	54600	0.3958	0.4936	0.8141	-
1.5689	54700	0.3487	0.4948	0.8148	-
1.5717	54800	0.3222	0.4941	0.8246	-
1.5746	54900	0.3485	0.5060	0.8217	-
1.5775	55000	0.3555	0.4987	0.8175	-
1.5803	55100	0.3714	0.4875	0.8219	-
1.5832	55200	0.3673	0.4719	0.8241	-
1.5861	55300	0.3867	0.4876	0.8179	-
1.5889	55400	0.3293	0.4978	0.8188	-
1.5918	55500	0.332	0.4868	0.8156	-
1.5947	55600	0.4039	0.4964	0.8204	-
1.5975	55700	0.2938	0.4839	0.8226	-
1.6004	55800	0.3273	0.4804	0.8258	-
1.6033	55900	0.3555	0.4747	0.8206	-
1.6061	56000	0.371	0.4739	0.8208	-
1.6090	56100	0.4124	0.4773	0.8187	-
1.6119	56200	0.3674	0.4660	0.8219	-
1.6148	56300	0.3914	0.4779	0.8128	-
1.6176	56400	0.3841	0.4846	0.8094	-
1.6205	56500	0.3556	0.4711	0.8190	-
1.6234	56600	0.3088	0.4941	0.8165	-
1.6262	56700	0.3782	0.4769	0.8166	-
1.6291	56800	0.3855	0.4663	0.8168	-
1.6320	56900	0.3591	0.4678	0.8186	-
1.6348	57000	0.3429	0.4716	0.8181	-
1.6377	57100	0.3417	0.4781	0.8153	-
1.6406	57200	0.3592	0.4628	0.8165	-
1.6434	57300	0.4057	0.4679	0.8237	-
1.6463	57400	0.3358	0.4675	0.8211	-
1.6492	57500	0.3821	0.5044	0.8140	-
1.6520	57600	0.3831	0.4751	0.8184	-
1.6549	57700	0.3361	0.4861	0.8201	-
1.6578	57800	0.3583	0.4913	0.8215	-
1.6606	57900	0.3656	0.4754	0.8232	-
1.6635	58000	0.3623	0.4664	0.8162	-
1.6664	58100	0.416	0.4831	0.8121	-
1.6692	58200	0.3681	0.4854	0.8147	-
1.6721	58300	0.3615	0.4699	0.8187	-
1.6750	58400	0.3402	0.4579	0.8141	-
1.6779	58500	0.3536	0.4639	0.8207	-
1.6807	58600	0.3098	0.4817	0.8218	-
1.6836	58700	0.3852	0.4654	0.8153	-
1.6865	58800	0.3658	0.4609	0.8242	-
1.6893	58900	0.3599	0.4583	0.8226	-
1.6922	59000	0.3697	0.4693	0.8177	-
1.6951	59100	0.3649	0.4863	0.8189	-
1.6979	59200	0.3994	0.4665	0.8161	-
1.7008	59300	0.3346	0.4939	0.8127	-
1.7037	59400	0.3653	0.4766	0.8148	-
1.7065	59500	0.3286	0.4505	0.8214	-
1.7094	59600	0.3249	0.4621	0.8145	-
1.7123	59700	0.401	0.4629	0.8103	-
1.7151	59800	0.3648	0.4577	0.8218	-
1.7180	59900	0.3528	0.4573	0.8177	-
1.7209	60000	0.39	0.4596	0.8125	-
1.7237	60100	0.3361	0.4579	0.8087	-
1.7266	60200	0.3675	0.4627	0.8068	-
1.7295	60300	0.3178	0.4508	0.8171	-
1.7323	60400	0.3223	0.4666	0.8206	-
1.7352	60500	0.358	0.4552	0.8171	-
1.7381	60600	0.3345	0.4557	0.8182	-
1.7410	60700	0.3121	0.4561	0.8156	-
1.7438	60800	0.3584	0.4729	0.8127	-
1.7467	60900	0.3797	0.4634	0.8168	-
1.7496	61000	0.3705	0.4849	0.8093	-
1.7524	61100	0.364	0.4719	0.8144	-
1.7553	61200	0.2734	0.4573	0.8213	-
1.7582	61300	0.3523	0.4583	0.8177	-
1.7610	61400	0.3808	0.4627	0.8104	-
1.7639	61500	0.3177	0.4729	0.8100	-
1.7668	61600	0.358	0.4773	0.8047	-
1.7696	61700	0.323	0.4732	0.8097	-
1.7725	61800	0.3487	0.4786	0.8086	-
1.7754	61900	0.3506	0.4966	0.8036	-
1.7782	62000	0.3749	0.4679	0.8117	-
1.7811	62100	0.3957	0.4642	0.8053	-
1.7840	62200	0.3578	0.4635	0.8035	-
1.7868	62300	0.3871	0.4608	0.8115	-
1.7897	62400	0.3686	0.4678	0.8170	-
1.7926	62500	0.3103	0.4784	0.8169	-
1.7954	62600	0.3623	0.4994	0.8182	-
1.7983	62700	0.3543	0.4841	0.8216	-
1.8012	62800	0.2959	0.4875	0.8185	-
1.8040	62900	0.3701	0.4849	0.8188	-
1.8069	63000	0.3055	0.4860	0.8149	-
1.8098	63100	0.3676	0.4890	0.8143	-
1.8127	63200	0.3549	0.4922	0.8104	-
1.8155	63300	0.3529	0.4945	0.8101	-
1.8184	63400	0.3381	0.5011	0.8115	-
1.8213	63500	0.3362	0.4998	0.8091	-
1.8241	63600	0.3092	0.4882	0.8060	-
1.8270	63700	0.3392	0.4914	0.8062	-
1.8299	63800	0.3332	0.5041	0.8091	-
1.8327	63900	0.3134	0.5125	0.8046	-
1.8356	64000	0.3047	0.4951	0.8093	-
1.8385	64100	0.3378	0.4959	0.8035	-
1.8413	64200	0.3311	0.4726	0.8081	-
1.8442	64300	0.3506	0.4972	0.8048	-
1.8471	64400	0.3642	0.4736	0.8082	-
1.8499	64500	0.3216	0.4898	0.8124	-
1.8528	64600	0.35	0.4920	0.8103	-
1.8557	64700	0.33	0.4920	0.8151	-
1.8585	64800	0.3098	0.4786	0.8100	-
1.8614	64900	0.3312	0.4733	0.8134	-
1.8643	65000	0.3474	0.4657	0.8136	-
1.8671	65100	0.3381	0.4693	0.8095	-
1.8700	65200	0.3088	0.4720	0.8087	-
1.8729	65300	0.3371	0.4856	0.8054	-
1.8758	65400	0.3623	0.4705	0.8010	-
1.8786	65500	0.3423	0.4831	0.8017	-
1.8815	65600	0.3129	0.4709	0.8062	-
1.8844	65700	0.3178	0.4821	0.8142	-
1.8872	65800	0.359	0.4784	0.8070	-
1.8901	65900	0.2829	0.4879	0.8125	-
1.8930	66000	0.3529	0.4572	0.8160	-
1.8958	66100	0.3147	0.4665	0.8160	-
1.8987	66200	0.3286	0.4772	0.8166	-
1.9016	66300	0.3479	0.4692	0.8133	-
1.9044	66400	0.3465	0.4941	0.8107	-
1.9073	66500	0.289	0.4755	0.8110	-
1.9102	66600	0.2904	0.5197	0.8133	-
1.9130	66700	0.4014	0.4746	0.8163	-
1.9159	66800	0.3086	0.4799	0.8190	-
1.9188	66900	0.338	0.4730	0.8141	-
1.9216	67000	0.3182	0.4656	0.8208	-
1.9245	67100	0.4004	0.4797	0.8129	-
1.9274	67200	0.2988	0.4819	0.8158	-
1.9302	67300	0.3467	0.4829	0.8140	-
1.9331	67400	0.3484	0.4802	0.8156	-
1.9360	67500	0.3866	0.4744	0.8174	-
1.9389	67600	0.3195	0.4670	0.8241	-
1.9417	67700	0.293	0.4685	0.8244	-
1.9446	67800	0.3587	0.4686	0.8230	-
1.9475	67900	0.2749	0.4805	0.8243	-
1.9503	68000	0.3046	0.4884	0.8120	-
1.9532	68100	0.3595	0.4690	0.8115	-
1.9561	68200	0.3913	0.4600	0.8205	-
1.9589	68300	0.3423	0.4649	0.8142	-
1.9618	68400	0.3438	0.4483	0.8126	-
1.9647	68500	0.2664	0.4881	0.8180	-
1.9675	68600	0.3278	0.4589	0.8209	-
1.9704	68700	0.345	0.4793	0.8083	-
1.9733	68800	0.3376	0.4625	0.8140	-
1.9761	68900	0.2665	0.4785	0.8173	-
1.9790	69000	0.3834	0.4706	0.8090	-
1.9819	69100	0.3184	0.4897	0.8153	-
1.9847	69200	0.3834	0.4589	0.8167	-
1.9876	69300	0.3237	0.4778	0.8146	-
1.9905	69400	0.2735	0.4764	0.8140	-
1.9933	69500	0.3371	0.4660	0.8126	-
1.9962	69600	0.3534	0.4757	0.8104	-
1.9991	69700	0.3498	0.4669	0.8102	-
2.0020	69800	0.2496	0.4925	0.8085	-
2.0048	69900	0.2384	0.4873	0.8171	-
2.0077	70000	0.2622	0.4712	0.8139	-
2.0106	70100	0.2091	0.4794	0.8167	-
2.0134	70200	0.1998	0.4886	0.8122	-
2.0163	70300	0.2084	0.4851	0.8156	-
2.0192	70400	0.2371	0.4804	0.8198	-
2.0220	70500	0.178	0.4935	0.8155	-
2.0249	70600	0.2068	0.4897	0.8136	-
2.0278	70700	0.23	0.4864	0.8134	-
2.0306	70800	0.2268	0.4955	0.8168	-
2.0335	70900	0.2519	0.4916	0.8161	-
2.0364	71000	0.1906	0.5068	0.8195	-
2.0392	71100	0.21	0.4860	0.8174	-
2.0421	71200	0.2453	0.4829	0.8097	-
2.0450	71300	0.2092	0.4932	0.8122	-
2.0478	71400	0.2463	0.4853	0.8157	-
2.0507	71500	0.1665	0.5119	0.8150	-
2.0536	71600	0.2429	0.5128	0.8062	-
2.0564	71700	0.2452	0.4975	0.8153	-
2.0593	71800	0.2575	0.4894	0.8213	-
2.0622	71900	0.2245	0.4974	0.8123	-
2.0650	72000	0.2389	0.5058	0.8154	-
2.0679	72100	0.1834	0.5142	0.8123	-
2.0708	72200	0.2204	0.5231	0.8098	-
2.0737	72300	0.1853	0.5114	0.8124	-
2.0765	72400	0.2185	0.4993	0.8179	-
2.0794	72500	0.2671	0.4968	0.8137	-
2.0823	72600	0.2931	0.4718	0.8161	-
2.0851	72700	0.1971	0.4889	0.8104	-
2.0880	72800	0.2529	0.4749	0.8141	-
2.0909	72900	0.2384	0.5005	0.8160	-
2.0937	73000	0.2011	0.4861	0.8153	-
2.0966	73100	0.2438	0.4869	0.8081	-
2.0995	73200	0.2361	0.4941	0.8110	-
2.1023	73300	0.3019	0.4946	0.8102	-
2.1052	73400	0.1819	0.4779	0.8181	-
2.1081	73500	0.2159	0.5017	0.8149	-
2.1109	73600	0.2647	0.4750	0.8224	-
2.1138	73700	0.2209	0.4680	0.8191	-
2.1167	73800	0.2458	0.4658	0.8176	-
2.1195	73900	0.2529	0.4642	0.8133	-
2.1224	74000	0.2206	0.4860	0.8177	-
2.1253	74100	0.2157	0.4927	0.8058	-
2.1281	74200	0.2203	0.4684	0.8195	-
2.1310	74300	0.2054	0.4725	0.8201	-
2.1339	74400	0.2055	0.4854	0.8197	-
2.1368	74500	0.2504	0.4690	0.8137	-
2.1396	74600	0.2313	0.4777	0.8153	-
2.1425	74700	0.2031	0.4893	0.8153	-
2.1454	74800	0.2041	0.4750	0.8151	-
2.1482	74900	0.1996	0.4809	0.8176	-
2.1511	75000	0.2606	0.4880	0.8073	-
2.1540	75100	0.2659	0.4972	0.8100	-
2.1568	75200	0.1972	0.4948	0.8127	-
2.1597	75300	0.2369	0.4887	0.8181	-
2.1626	75400	0.2326	0.4684	0.8142	-
2.1654	75500	0.2109	0.4891	0.8107	-
2.1683	75600	0.198	0.4788	0.8181	-
2.1712	75700	0.2391	0.4659	0.8161	-
2.1740	75800	0.2736	0.4653	0.8191	-
2.1769	75900	0.2274	0.4718	0.8205	-
2.1798	76000	0.2362	0.4746	0.8177	-
2.1826	76100	0.2408	0.4734	0.8230	-
2.1855	76200	0.2054	0.4653	0.8220	-
2.1884	76300	0.2459	0.4761	0.8253	-
2.1912	76400	0.2176	0.4753	0.8207	-
2.1941	76500	0.235	0.4526	0.8265	-
2.1970	76600	0.2248	0.4741	0.8244	-
2.1999	76700	0.1573	0.4866	0.8243	-
2.2027	76800	0.2073	0.4816	0.8285	-
2.2056	76900	0.2222	0.4805	0.8291	-
2.2085	77000	0.2461	0.4870	0.8215	-
2.2113	77100	0.2024	0.4878	0.8129	-
2.2142	77200	0.2259	0.4895	0.8196	-
2.2171	77300	0.205	0.4789	0.8197	-
2.2199	77400	0.2246	0.4738	0.8182	-
2.2228	77500	0.2246	0.4630	0.8243	-
2.2257	77600	0.2265	0.4717	0.8232	-
2.2285	77700	0.2127	0.4850	0.8200	-
2.2314	77800	0.1957	0.4612	0.8219	-
2.2343	77900	0.2336	0.4655	0.8262	-
2.2371	78000	0.1962	0.4630	0.8214	-
2.2400	78100	0.2242	0.4770	0.8193	-
2.2429	78200	0.2214	0.4748	0.8212	-
2.2457	78300	0.2389	0.4724	0.8198	-
2.2486	78400	0.2649	0.4791	0.8201	-
2.2515	78500	0.2322	0.4662	0.8213	-
2.2543	78600	0.266	0.4780	0.8207	-
2.2572	78700	0.2425	0.4885	0.8199	-
2.2601	78800	0.2169	0.4749	0.8242	-
2.2629	78900	0.2457	0.4707	0.8185	-
2.2658	79000	0.1803	0.4711	0.8277	-
2.2687	79100	0.1964	0.4591	0.8231	-
2.2716	79200	0.2158	0.4655	0.8177	-
2.2744	79300	0.246	0.4683	0.8181	-
2.2773	79400	0.222	0.4762	0.8201	-
2.2802	79500	0.1973	0.4702	0.8151	-
2.2830	79600	0.2515	0.4719	0.8220	-
2.2859	79700	0.2031	0.4605	0.8224	-
2.2888	79800	0.2306	0.4750	0.8168	-
2.2916	79900	0.2108	0.4645	0.8177	-
2.2945	80000	0.219	0.4679	0.8149	-
2.2974	80100	0.1862	0.4881	0.8160	-
2.3002	80200	0.298	0.4601	0.8173	-
2.3031	80300	0.2078	0.4553	0.8190	-
2.3060	80400	0.2496	0.4712	0.8216	-
2.3088	80500	0.2257	0.4663	0.8216	-
2.3117	80600	0.1869	0.4678	0.8192	-
2.3146	80700	0.2258	0.4684	0.8217	-
2.3174	80800	0.1647	0.4836	0.8148	-
2.3203	80900	0.2445	0.4648	0.8147	-
2.3232	81000	0.1897	0.4601	0.8194	-
2.3260	81100	0.185	0.4768	0.8208	-
2.3289	81200	0.1925	0.4894	0.8204	-
2.3318	81300	0.2442	0.4953	0.8189	-
2.3347	81400	0.2159	0.4764	0.8177	-
2.3375	81500	0.2267	0.4761	0.8133	-
2.3404	81600	0.2464	0.4594	0.8157	-
2.3433	81700	0.2075	0.4633	0.8163	-
2.3461	81800	0.2095	0.5019	0.8117	-
2.3490	81900	0.2271	0.4705	0.8180	-
2.3519	82000	0.2151	0.4677	0.8239	-
2.3547	82100	0.2213	0.4723	0.8177	-
2.3576	82200	0.228	0.4665	0.8163	-
2.3605	82300	0.2469	0.4522	0.8200	-
2.3633	82400	0.2102	0.4702	0.8201	-
2.3662	82500	0.2305	0.4724	0.8163	-
2.3691	82600	0.2282	0.4770	0.8115	-
2.3719	82700	0.2088	0.4643	0.8174	-
2.3748	82800	0.2108	0.4596	0.8167	-
2.3777	82900	0.217	0.4623	0.8161	-
2.3805	83000	0.217	0.4593	0.8203	-
2.3834	83100	0.2182	0.4547	0.8203	-
2.3863	83200	0.2168	0.4539	0.8199	-
2.3891	83300	0.1984	0.4607	0.8235	-
2.3920	83400	0.204	0.4818	0.8204	-
2.3949	83500	0.2306	0.4589	0.8281	-
2.3978	83600	0.2228	0.4570	0.8270	-
2.4006	83700	0.2239	0.4547	0.8206	-
2.4035	83800	0.2261	0.4498	0.8263	-
2.4064	83900	0.1817	0.4534	0.8275	-
2.4092	84000	0.1736	0.4599	0.8296	-
2.4121	84100	0.2149	0.4694	0.8304	-
2.4150	84200	0.2227	0.4757	0.8278	-
2.4178	84300	0.2536	0.4699	0.8290	-
2.4207	84400	0.2406	0.4713	0.8266	-
2.4236	84500	0.1806	0.4730	0.8296	-
2.4264	84600	0.1975	0.4668	0.8323	-
2.4293	84700	0.2199	0.4705	0.8250	-
2.4322	84800	0.1583	0.4610	0.8229	-
2.4350	84900	0.2393	0.4615	0.8215	-
2.4379	85000	0.1795	0.4687	0.8226	-
2.4408	85100	0.1902	0.4689	0.8190	-
2.4436	85200	0.1957	0.4587	0.8173	-
2.4465	85300	0.2528	0.4537	0.8210	-
2.4494	85400	0.1855	0.4742	0.8146	-
2.4522	85500	0.2442	0.4692	0.8161	-
2.4551	85600	0.163	0.4827	0.8214	-
2.4580	85700	0.204	0.4691	0.8213	-
2.4609	85800	0.2205	0.4669	0.8226	-
2.4637	85900	0.2171	0.4681	0.8227	-
2.4666	86000	0.2012	0.4684	0.8210	-
2.4695	86100	0.216	0.4745	0.8233	-
2.4723	86200	0.2411	0.4693	0.8239	-
2.4752	86300	0.2221	0.4765	0.8225	-
2.4781	86400	0.205	0.4781	0.8235	-
2.4809	86500	0.2202	0.4830	0.8155	-
2.4838	86600	0.2404	0.4578	0.8189	-
2.4867	86700	0.2212	0.4725	0.8226	-
2.4895	86800	0.1923	0.4697	0.8146	-
2.4924	86900	0.2032	0.4685	0.8143	-
2.4953	87000	0.2116	0.4795	0.8161	-
2.4981	87100	0.2363	0.4730	0.8140	-
2.5010	87200	0.235	0.4748	0.8126	-
2.5039	87300	0.213	0.4743	0.8114	-
2.5067	87400	0.1932	0.5001	0.8112	-
2.5096	87500	0.2902	0.4668	0.8101	-
2.5125	87600	0.1747	0.4874	0.8114	-
2.5153	87700	0.188	0.4866	0.8108	-
2.5182	87800	0.2161	0.4960	0.8106	-
2.5211	87900	0.1984	0.4829	0.8143	-
2.5239	88000	0.2199	0.4644	0.8163	-
2.5268	88100	0.2173	0.4791	0.8172	-
2.5297	88200	0.2098	0.4671	0.8189	-
2.5326	88300	0.2094	0.4974	0.8153	-
2.5354	88400	0.2129	0.4789	0.8189	-
2.5383	88500	0.2336	0.4764	0.8179	-
2.5412	88600	0.2242	0.4768	0.8154	-
2.5440	88700	0.196	0.4777	0.8165	-
2.5469	88800	0.1732	0.4889	0.8121	-
2.5498	88900	0.1815	0.4863	0.8161	-
2.5526	89000	0.2183	0.4867	0.8135	-
2.5555	89100	0.276	0.4599	0.8155	-
2.5584	89200	0.2618	0.4641	0.8124	-
2.5612	89300	0.2356	0.4713	0.8085	-
2.5641	89400	0.2032	0.4675	0.8098	-
2.5670	89500	0.1956	0.4714	0.8094	-
2.5698	89600	0.225	0.4673	0.8111	-
2.5727	89700	0.2059	0.4783	0.8127	-
2.5756	89800	0.2088	0.4815	0.8134	-
2.5784	89900	0.1828	0.4632	0.8160	-
2.5813	90000	0.1772	0.4720	0.8164	-
2.5842	90100	0.1919	0.4665	0.8220	-
2.5870	90200	0.2034	0.4605	0.8189	-
2.5899	90300	0.2067	0.4529	0.8216	-
2.5928	90400	0.1791	0.4655	0.8171	-
2.5957	90500	0.1962	0.4718	0.8148	-
2.5985	90600	0.169	0.4727	0.8172	-
2.6014	90700	0.1943	0.4582	0.8172	-
2.6043	90800	0.2167	0.4543	0.8231	-
2.6071	90900	0.2494	0.4628	0.8148	-
2.6100	91000	0.2547	0.4489	0.8219	-
2.6129	91100	0.1727	0.4694	0.8195	-
2.6157	91200	0.2138	0.4481	0.8214	-
2.6186	91300	0.2407	0.4475	0.8208	-
2.6215	91400	0.1587	0.4621	0.8127	-
2.6243	91500	0.2066	0.4627	0.8186	-
2.6272	91600	0.2465	0.4700	0.8168	-
2.6301	91700	0.2208	0.4539	0.8232	-
2.6329	91800	0.1936	0.4611	0.8171	-
2.6358	91900	0.207	0.4553	0.8194	-
2.6387	92000	0.2212	0.4560	0.8177	-
2.6415	92100	0.1852	0.4635	0.8150	-
2.6444	92200	0.2334	0.4622	0.8164	-
2.6473	92300	0.1904	0.4493	0.8235	-
2.6501	92400	0.1935	0.4812	0.8130	-
2.6530	92500	0.1948	0.4388	0.8149	-
2.6559	92600	0.1992	0.4478	0.8188	-
2.6588	92700	0.2041	0.4561	0.8182	-
2.6616	92800	0.2086	0.4558	0.8196	-
2.6645	92900	0.2083	0.4851	0.8186	-
2.6674	93000	0.1969	0.4600	0.8204	-
2.6702	93100	0.1962	0.4566	0.8183	-
2.6731	93200	0.1761	0.4573	0.8174	-
2.6760	93300	0.2146	0.4475	0.8195	-
2.6788	93400	0.2295	0.4505	0.8192	-
2.6817	93500	0.2161	0.4604	0.8217	-
2.6846	93600	0.2061	0.4518	0.8199	-
2.6874	93700	0.1871	0.4611	0.8193	-
2.6903	93800	0.2307	0.4559	0.8162	-
2.6932	93900	0.1862	0.4498	0.8176	-
2.6960	94000	0.2025	0.4691	0.8120	-
2.6989	94100	0.1899	0.4706	0.8152	-
2.7018	94200	0.2116	0.4844	0.8125	-
2.7046	94300	0.2002	0.4680	0.8133	-
2.7075	94400	0.2292	0.4769	0.8141	-
2.7104	94500	0.1659	0.4813	0.8123	-
2.7132	94600	0.2567	0.4677	0.8170	-
2.7161	94700	0.2276	0.4637	0.8192	-
2.7190	94800	0.2204	0.4589	0.8176	-
2.7218	94900	0.1788	0.4622	0.8135	-
2.7247	95000	0.2285	0.4756	0.8073	-
2.7276	95100	0.2204	0.4721	0.8131	-
2.7305	95200	0.2276	0.4695	0.8136	-
2.7333	95300	0.1873	0.4609	0.8153	-
2.7362	95400	0.2084	0.4598	0.8179	-
2.7391	95500	0.2294	0.4534	0.8184	-
2.7419	95600	0.199	0.4558	0.8192	-
2.7448	95700	0.2068	0.4495	0.8184	-
2.7477	95800	0.2122	0.4554	0.8191	-
2.7505	95900	0.189	0.4682	0.8159	-
2.7534	96000	0.2119	0.4598	0.8160	-
2.7563	96100	0.1969	0.4575	0.8172	-
2.7591	96200	0.1798	0.4664	0.8183	-
2.7620	96300	0.1998	0.4634	0.8171	-
2.7649	96400	0.205	0.4660	0.8160	-
2.7677	96500	0.1507	0.4613	0.8220	-
2.7706	96600	0.1907	0.4609	0.8233	-
2.7735	96700	0.1554	0.4785	0.8169	-
2.7763	96800	0.1916	0.4763	0.8132	-
2.7792	96900	0.1892	0.4716	0.8183	-
2.7821	97000	0.1975	0.4678	0.8185	-
2.7849	97100	0.24	0.4584	0.8227	-
2.7878	97200	0.1878	0.4558	0.8221	-
2.7907	97300	0.2104	0.4600	0.8246	-
2.7936	97400	0.1814	0.4626	0.8167	-
2.7964	97500	0.1928	0.4543	0.8203	-
2.7993	97600	0.1469	0.4703	0.8212	-
2.8022	97700	0.193	0.4632	0.8218	-
2.8050	97800	0.1661	0.4709	0.8217	-
2.8079	97900	0.2257	0.4824	0.8188	-
2.8108	98000	0.1886	0.4779	0.8153	-
2.8136	98100	0.1826	0.4802	0.8128	-
2.8165	98200	0.204	0.4606	0.8199	-
2.8194	98300	0.1911	0.4615	0.8157	-
2.8222	98400	0.2174	0.4414	0.8197	-
2.8251	98500	0.1697	0.4562	0.8189	-
2.8280	98600	0.2385	0.4578	0.8209	-
2.8308	98700	0.1905	0.4623	0.8211	-
2.8337	98800	0.1751	0.4526	0.8217	-
2.8366	98900	0.1721	0.4647	0.8233	-
2.8394	99000	0.2212	0.4556	0.8183	-
2.8423	99100	0.2009	0.4708	0.8205	-
2.8452	99200	0.1736	0.4411	0.8267	-
2.8480	99300	0.1879	0.4594	0.8242	-
2.8509	99400	0.1979	0.4870	0.8185	-
2.8538	99500	0.1881	0.4798	0.8175	-
2.8567	99600	0.2198	0.4632	0.8237	-
2.8595	99700	0.1725	0.4846	0.8188	-
2.8624	99800	0.1678	0.4659	0.8189	-
2.8653	99900	0.2406	0.4434	0.8244	-
2.8681	100000	0.2063	0.4759	0.8144	-
2.8710	100100	0.1667	0.4693	0.8149	-
2.8739	100200	0.187	0.4464	0.8221	-
2.8767	100300	0.2584	0.4461	0.8226	-
2.8796	100400	0.2078	0.4449	0.8205	-
2.8825	100500	0.1845	0.4442	0.8269	-
2.8853	100600	0.1926	0.4491	0.8221	-
2.8882	100700	0.2044	0.4520	0.8222	-
2.8911	100800	0.2437	0.4481	0.8228	-
2.8939	100900	0.1749	0.4539	0.8202	-
2.8968	101000	0.2303	0.4465	0.8212	-
2.8997	101100	0.186	0.4534	0.8213	-
2.9025	101200	0.1856	0.4389	0.8212	-
2.9054	101300	0.2144	0.4532	0.8204	-
2.9083	101400	0.1828	0.4410	0.8216	-
2.9111	101500	0.1797	0.4585	0.8186	-
2.9140	101600	0.2054	0.4490	0.8199	-
2.9169	101700	0.2267	0.4378	0.8241	-
2.9197	101800	0.2107	0.4330	0.8263	-
2.9226	101900	0.2228	0.4515	0.8250	-
2.9255	102000	0.2138	0.4490	0.8208	-
2.9284	102100	0.2212	0.4492	0.8221	-
2.9312	102200	0.1978	0.4535	0.8169	-
2.9341	102300	0.1453	0.4574	0.8218	-
2.9370	102400	0.1759	0.4630	0.8248	-
2.9398	102500	0.181	0.4364	0.8265	-
2.9427	102600	0.1961	0.4474	0.8223	-
2.9456	102700	0.2082	0.4592	0.8204	-
2.9484	102800	0.1701	0.4569	0.8185	-
2.9513	102900	0.1915	0.4562	0.8246	-
2.9542	103000	0.1927	0.4568	0.8262	-
2.9570	103100	0.1632	0.4527	0.8270	-
2.9599	103200	0.1814	0.4445	0.8273	-
2.9628	103300	0.188	0.4608	0.8199	-
2.9656	103400	0.2318	0.4598	0.8190	-
2.9685	103500	0.2267	0.4557	0.8191	-
2.9714	103600	0.1938	0.4437	0.8222	-
2.9742	103700	0.185	0.4639	0.8192	-
2.9771	103800	0.1795	0.4598	0.8176	-
2.9800	103900	0.2476	0.4463	0.8197	-
2.9828	104000	0.16	0.4499	0.8207	-
2.9857	104100	0.2033	0.4483	0.8246	-
2.9886	104200	0.2155	0.4417	0.8220	-
2.9915	104300	0.1935	0.4373	0.8175	-
2.9943	104400	0.1743	0.4491	0.8213	-
2.9972	104500	0.1562	0.4506	0.8199	-
3.0001	104600	0.2152	0.4550	0.8216	-
3.0029	104700	0.1414	0.4486	0.8190	-
3.0058	104800	0.1551	0.4789	0.8196	-
3.0087	104900	0.1389	0.4728	0.8229	-
3.0115	105000	0.1184	0.4846	0.8189	-
3.0144	105100	0.1425	0.4704	0.8187	-
3.0173	105200	0.118	0.4729	0.8172	-
3.0201	105300	0.1267	0.4754	0.8200	-
3.0230	105400	0.1095	0.4738	0.8171	-
3.0259	105500	0.1229	0.4709	0.8187	-
3.0287	105600	0.1427	0.4490	0.8228	-
3.0316	105700	0.1329	0.4597	0.8221	-
3.0345	105800	0.1486	0.4857	0.8197	-
3.0373	105900	0.149	0.4565	0.8249	-
3.0402	106000	0.1131	0.4516	0.8192	-
3.0431	106100	0.1422	0.4577	0.8187	-
3.0459	106200	0.1271	0.4614	0.8174	-
3.0488	106300	0.1175	0.4534	0.8202	-
3.0517	106400	0.1596	0.4694	0.8179	-
3.0546	106500	0.1382	0.4654	0.8152	-
3.0574	106600	0.0964	0.4731	0.8164	-
3.0603	106700	0.1189	0.4671	0.8155	-
3.0632	106800	0.1415	0.4494	0.8139	-
3.0660	106900	0.125	0.4579	0.8122	-
3.0689	107000	0.1226	0.4566	0.8139	-
3.0718	107100	0.1309	0.4591	0.8150	-
3.0746	107200	0.1168	0.4662	0.8104	-
3.0775	107300	0.135	0.4615	0.8121	-
3.0804	107400	0.1009	0.4592	0.8150	-
3.0832	107500	0.1913	0.4545	0.8168	-
3.0861	107600	0.1133	0.4577	0.8118	-
3.0890	107700	0.1215	0.4613	0.8122	-
3.0918	107800	0.1555	0.4717	0.8141	-
3.0947	107900	0.1104	0.4707	0.8121	-
3.0976	108000	0.1	0.4656	0.8150	-
3.1004	108100	0.1195	0.4721	0.8142	-
3.1033	108200	0.1384	0.4565	0.8139	-
3.1062	108300	0.1275	0.4585	0.8118	-
3.1090	108400	0.1208	0.4700	0.8159	-
3.1119	108500	0.158	0.4406	0.8162	-
3.1148	108600	0.1272	0.4461	0.8180	-
3.1177	108700	0.1185	0.4760	0.8144	-
3.1205	108800	0.1075	0.4789	0.8152	-
3.1234	108900	0.1156	0.4580	0.8164	-
3.1263	109000	0.1519	0.4519	0.8146	-
3.1291	109100	0.1314	0.4671	0.8158	-
3.1320	109200	0.121	0.4655	0.8158	-
3.1349	109300	0.1338	0.4731	0.8121	-
3.1377	109400	0.1268	0.4725	0.8100	-
3.1406	109500	0.1337	0.4777	0.8119	-
3.1435	109600	0.1653	0.4786	0.8131	-
3.1463	109700	0.1032	0.4656	0.8162	-
3.1492	109800	0.1224	0.4570	0.8176	-
3.1521	109900	0.1367	0.4659	0.8134	-
3.1549	110000	0.1319	0.4573	0.8165	-
3.1578	110100	0.1678	0.4472	0.8156	-
3.1607	110200	0.1217	0.4601	0.8144	-
3.1635	110300	0.1334	0.4548	0.8186	-
3.1664	110400	0.1232	0.4635	0.8139	-
3.1693	110500	0.148	0.4592	0.8103	-
3.1721	110600	0.1356	0.4611	0.8126	-
3.1750	110700	0.1253	0.4550	0.8114	-
3.1779	110800	0.1301	0.4655	0.8134	-
3.1807	110900	0.1161	0.4514	0.8142	-
3.1836	111000	0.1194	0.4795	0.8118	-
3.1865	111100	0.1121	0.4618	0.8091	-
3.1894	111200	0.1225	0.4649	0.8130	-
3.1922	111300	0.1051	0.4626	0.8166	-
3.1951	111400	0.1125	0.4647	0.8160	-
3.1980	111500	0.1268	0.4658	0.8177	-
3.2008	111600	0.1608	0.4669	0.8187	-
3.2037	111700	0.1167	0.4534	0.8150	-
3.2066	111800	0.1295	0.4625	0.8170	-
3.2094	111900	0.1307	0.4511	0.8152	-
3.2123	112000	0.1223	0.4532	0.8165	-
3.2152	112100	0.1267	0.4499	0.8198	-
3.2180	112200	0.1237	0.4559	0.8190	-
3.2209	112300	0.1176	0.4450	0.8151	-
3.2238	112400	0.1376	0.4468	0.8165	-
3.2266	112500	0.1329	0.4791	0.8110	-
3.2295	112600	0.1552	0.4519	0.8152	-
3.2324	112700	0.1377	0.4536	0.8121	-
3.2352	112800	0.1324	0.4565	0.8139	-
3.2381	112900	0.1455	0.4635	0.8173	-
3.2410	113000	0.141	0.4633	0.8158	-
3.2438	113100	0.1298	0.4532	0.8182	-
3.2467	113200	0.1194	0.4547	0.8155	-
3.2496	113300	0.0931	0.4632	0.8171	-
3.2525	113400	0.1161	0.4628	0.8142	-
3.2553	113500	0.108	0.4712	0.8132	-
3.2582	113600	0.1381	0.4520	0.8146	-
3.2611	113700	0.129	0.4655	0.8148	-
3.2639	113800	0.1358	0.4693	0.8160	-
3.2668	113900	0.1088	0.4786	0.8140	-
3.2697	114000	0.1243	0.4721	0.8118	-
3.2725	114100	0.0923	0.4608	0.8153	-
3.2754	114200	0.1182	0.4590	0.8161	-
3.2783	114300	0.1126	0.4647	0.8181	-
3.2811	114400	0.1058	0.4595	0.8148	-
3.2840	114500	0.1414	0.4707	0.8157	-
3.2869	114600	0.1263	0.4612	0.8170	-
3.2897	114700	0.1278	0.4726	0.8153	-
3.2926	114800	0.1294	0.4695	0.8155	-
3.2955	114900	0.1416	0.4610	0.8151	-
3.2983	115000	0.1347	0.4585	0.8183	-
3.3012	115100	0.1032	0.4627	0.8206	-
3.3041	115200	0.1313	0.4700	0.8172	-
3.3069	115300	0.1255	0.4585	0.8164	-
3.3098	115400	0.1078	0.4590	0.8153	-
3.3127	115500	0.1551	0.4535	0.8155	-
3.3156	115600	0.1323	0.4687	0.8116	-
3.3184	115700	0.1245	0.4613	0.8178	-
3.3213	115800	0.1363	0.4445	0.8198	-
3.3242	115900	0.1324	0.4516	0.8190	-
3.3270	116000	0.1283	0.4558	0.8190	-
3.3299	116100	0.1157	0.4626	0.8183	-
3.3328	116200	0.1239	0.4648	0.8189	-
3.3356	116300	0.1396	0.4614	0.8133	-
3.3385	116400	0.1403	0.4528	0.8167	-
3.3414	116500	0.0974	0.4601	0.8152	-
3.3442	116600	0.1196	0.4639	0.8164	-
3.3471	116700	0.0901	0.4690	0.8213	-
3.3500	116800	0.1792	0.4600	0.8204	-
3.3528	116900	0.1126	0.4583	0.8179	-
3.3557	117000	0.1389	0.4525	0.8193	-
3.3586	117100	0.0892	0.4625	0.8178	-
3.3614	117200	0.1374	0.4655	0.8164	-
3.3643	117300	0.1131	0.4686	0.8163	-
3.3672	117400	0.1452	0.4573	0.8152	-
3.3700	117500	0.1427	0.4614	0.8164	-
3.3729	117600	0.1175	0.4604	0.8178	-
3.3758	117700	0.1065	0.4667	0.8175	-
3.3786	117800	0.1218	0.4559	0.8196	-
3.3815	117900	0.1271	0.4645	0.8172	-
3.3844	118000	0.1257	0.4658	0.8187	-
3.3873	118100	0.1313	0.4727	0.8185	-
3.3901	118200	0.1394	0.4635	0.8186	-
3.3930	118300	0.143	0.4525	0.8218	-
3.3959	118400	0.1289	0.4541	0.8194	-
3.3987	118500	0.1421	0.4567	0.8182	-
3.4016	118600	0.1564	0.4644	0.8190	-
3.4045	118700	0.1183	0.4629	0.8176	-
3.4073	118800	0.1608	0.4459	0.8202	-
3.4102	118900	0.1121	0.4618	0.8231	-
3.4131	119000	0.1607	0.4573	0.8225	-
3.4159	119100	0.0948	0.4573	0.8220	-
3.4188	119200	0.1356	0.4564	0.8170	-
3.4217	119300	0.1395	0.4718	0.8162	-
3.4245	119400	0.134	0.4567	0.8209	-
3.4274	119500	0.1046	0.4589	0.8192	-
3.4303	119600	0.109	0.4604	0.8204	-
3.4331	119700	0.1617	0.4683	0.8133	-
3.4360	119800	0.1186	0.4710	0.8156	-
3.4389	119900	0.1042	0.4637	0.8170	-
3.4417	120000	0.1273	0.4613	0.8147	-
3.4446	120100	0.1377	0.4693	0.8192	-
3.4475	120200	0.0983	0.4689	0.8162	-
3.4504	120300	0.1486	0.4578	0.8188	-
3.4532	120400	0.0996	0.4528	0.8212	-
3.4561	120500	0.1236	0.4636	0.8199	-
3.4590	120600	0.1107	0.4675	0.8193	-
3.4618	120700	0.1299	0.4586	0.8220	-
3.4647	120800	0.1153	0.4603	0.8203	-
3.4676	120900	0.1391	0.4623	0.8173	-
3.4704	121000	0.1266	0.4624	0.8165	-
3.4733	121100	0.1025	0.4549	0.8197	-
3.4762	121200	0.1053	0.4578	0.8197	-
3.4790	121300	0.1112	0.4484	0.8206	-
3.4819	121400	0.0998	0.4631	0.8192	-
3.4848	121500	0.1576	0.4568	0.8209	-
3.4876	121600	0.1409	0.4428	0.8208	-
3.4905	121700	0.1179	0.4515	0.8193	-
3.4934	121800	0.0944	0.4505	0.8177	-
3.4962	121900	0.0941	0.4576	0.8206	-
3.4991	122000	0.1375	0.4596	0.8179	-
3.5020	122100	0.1372	0.4545	0.8216	-
3.5048	122200	0.0917	0.4541	0.8213	-
3.5077	122300	0.1238	0.4469	0.8216	-
3.5106	122400	0.108	0.4461	0.8203	-
3.5135	122500	0.1146	0.4581	0.8206	-
3.5163	122600	0.1605	0.4597	0.8192	-
3.5192	122700	0.1303	0.4616	0.8180	-
3.5221	122800	0.0946	0.4721	0.8152	-
3.5249	122900	0.121	0.4611	0.8189	-
3.5278	123000	0.1111	0.4645	0.8179	-
3.5307	123100	0.1296	0.4516	0.8184	-
3.5335	123200	0.137	0.4449	0.8179	-
3.5364	123300	0.1395	0.4441	0.8178	-
3.5393	123400	0.1173	0.4470	0.8201	-
3.5421	123500	0.1262	0.4483	0.8202	-
3.5450	123600	0.119	0.4480	0.8173	-
3.5479	123700	0.1602	0.4455	0.8187	-
3.5507	123800	0.1236	0.4453	0.8221	-
3.5536	123900	0.1248	0.4400	0.8222	-
3.5565	124000	0.125	0.4457	0.8233	-
3.5593	124100	0.1545	0.4369	0.8265	-
3.5622	124200	0.161	0.4352	0.8222	-
3.5651	124300	0.1203	0.4457	0.8197	-
3.5679	124400	0.1519	0.4473	0.8189	-
3.5708	124500	0.1128	0.4501	0.8219	-
3.5737	124600	0.1083	0.4477	0.8201	-
3.5766	124700	0.1149	0.4538	0.8207	-
3.5794	124800	0.1378	0.4507	0.8194	-
3.5823	124900	0.1202	0.4549	0.8192	-
3.5852	125000	0.1603	0.4451	0.8190	-
3.5880	125100	0.1233	0.4491	0.8208	-
3.5909	125200	0.1125	0.4474	0.8237	-
3.5938	125300	0.1251	0.4496	0.8241	-
3.5966	125400	0.0994	0.4463	0.8235	-
3.5995	125500	0.0995	0.4483	0.8212	-
3.6024	125600	0.0993	0.4609	0.8176	-
3.6052	125700	0.1224	0.4464	0.8211	-
3.6081	125800	0.141	0.4626	0.8187	-
3.6110	125900	0.1285	0.4564	0.8192	-
3.6138	126000	0.1033	0.4630	0.8185	-
3.6167	126100	0.1315	0.4512	0.8227	-
3.6196	126200	0.1241	0.4569	0.8213	-
3.6224	126300	0.1619	0.4504	0.8237	-
3.6253	126400	0.1277	0.4514	0.8203	-
3.6282	126500	0.1371	0.4526	0.8191	-
3.6310	126600	0.139	0.4538	0.8199	-
3.6339	126700	0.0981	0.4571	0.8217	-
3.6368	126800	0.165	0.4527	0.8213	-
3.6396	126900	0.1511	0.4551	0.8208	-
3.6425	127000	0.1261	0.4586	0.8205	-
3.6454	127100	0.0985	0.4588	0.8195	-
3.6483	127200	0.1327	0.4589	0.8188	-
3.6511	127300	0.1329	0.4411	0.8192	-
3.6540	127400	0.1132	0.4525	0.8198	-
3.6569	127500	0.1019	0.4439	0.8208	-
3.6597	127600	0.1068	0.4417	0.8199	-
3.6626	127700	0.1063	0.4486	0.8203	-
3.6655	127800	0.1203	0.4591	0.8168	-
3.6683	127900	0.1377	0.4439	0.8190	-
3.6712	128000	0.1249	0.4489	0.8181	-
3.6741	128100	0.1347	0.4456	0.8201	-
3.6769	128200	0.1344	0.4542	0.8187	-
3.6798	128300	0.1232	0.4511	0.8168	-
3.6827	128400	0.113	0.4467	0.8191	-
3.6855	128500	0.1226	0.4580	0.8168	-
3.6884	128600	0.1171	0.4457	0.8174	-
3.6913	128700	0.1194	0.4486	0.8192	-
3.6941	128800	0.1249	0.4474	0.8220	-
3.6970	128900	0.1214	0.4455	0.8228	-
3.6999	129000	0.095	0.4532	0.8198	-
3.7027	129100	0.1101	0.4389	0.8231	-
3.7056	129200	0.0946	0.4358	0.8235	-
3.7085	129300	0.112	0.4425	0.8229	-
3.7114	129400	0.1368	0.4470	0.8205	-
3.7142	129500	0.1305	0.4426	0.8200	-
3.7171	129600	0.1098	0.4506	0.8167	-
3.7200	129700	0.1322	0.4487	0.8162	-
3.7228	129800	0.1229	0.4476	0.8180	-
3.7257	129900	0.1185	0.4539	0.8156	-
3.7286	130000	0.1344	0.4377	0.8185	-
3.7314	130100	0.1547	0.4434	0.8198	-
3.7343	130200	0.1128	0.4443	0.8211	-
3.7372	130300	0.1032	0.4383	0.8196	-
3.7400	130400	0.1151	0.4448	0.8183	-
3.7429	130500	0.1468	0.4457	0.8161	-
3.7458	130600	0.1322	0.4385	0.8177	-
3.7486	130700	0.1234	0.4381	0.8176	-
3.7515	130800	0.1085	0.4388	0.8208	-
3.7544	130900	0.1147	0.4416	0.8193	-
3.7572	131000	0.1374	0.4381	0.8203	-
3.7601	131100	0.1078	0.4276	0.8212	-
3.7630	131200	0.1247	0.4304	0.8218	-
3.7658	131300	0.1167	0.4313	0.8224	-
3.7687	131400	0.1199	0.4366	0.8219	-
3.7716	131500	0.0987	0.4402	0.8207	-
3.7745	131600	0.1246	0.4320	0.8208	-
3.7773	131700	0.1221	0.4285	0.8220	-
3.7802	131800	0.1024	0.4226	0.8229	-
3.7831	131900	0.1187	0.4360	0.8210	-
3.7859	132000	0.1446	0.4244	0.8239	-
3.7888	132100	0.1101	0.4364	0.8214	-
3.7917	132200	0.1438	0.4454	0.8198	-
3.7945	132300	0.1055	0.4510	0.8203	-
3.7974	132400	0.1297	0.4458	0.8203	-
3.8003	132500	0.1388	0.4412	0.8219	-
3.8031	132600	0.1028	0.4367	0.8231	-
3.8060	132700	0.1186	0.4323	0.8221	-
3.8089	132800	0.107	0.4351	0.8205	-
3.8117	132900	0.1178	0.4320	0.8223	-
3.8146	133000	0.1218	0.4301	0.8233	-
3.8175	133100	0.1253	0.4323	0.8239	-
3.8203	133200	0.0941	0.4464	0.8213	-
3.8232	133300	0.1442	0.4379	0.8214	-
3.8261	133400	0.1454	0.4348	0.8223	-
3.8289	133500	0.0917	0.4405	0.8233	-
3.8318	133600	0.1153	0.4449	0.8219	-
3.8347	133700	0.1323	0.4318	0.8247	-
3.8375	133800	0.1171	0.4446	0.8219	-
3.8404	133900	0.1137	0.4346	0.8201	-
3.8433	134000	0.1117	0.4377	0.8215	-
3.8462	134100	0.0857	0.4362	0.8198	-
3.8490	134200	0.1122	0.4335	0.8207	-
3.8519	134300	0.1287	0.4330	0.8215	-
3.8548	134400	0.104	0.4445	0.8207	-
3.8576	134500	0.1162	0.4369	0.8199	-
3.8605	134600	0.1007	0.4549	0.8213	-
3.8634	134700	0.0997	0.4382	0.8212	-
3.8662	134800	0.1313	0.4325	0.8204	-
3.8691	134900	0.1094	0.4311	0.8219	-
3.8720	135000	0.121	0.4360	0.8215	-
3.8748	135100	0.1318	0.4432	0.8183	-
3.8777	135200	0.1395	0.4355	0.8201	-
3.8806	135300	0.1343	0.4380	0.8166	-
3.8834	135400	0.1367	0.4401	0.8214	-
3.8863	135500	0.1374	0.4317	0.8237	-
3.8892	135600	0.1409	0.4350	0.8212	-
3.8920	135700	0.1217	0.4371	0.8198	-
3.8949	135800	0.0986	0.4396	0.8203	-
3.8978	135900	0.1196	0.4433	0.8188	-
3.9006	136000	0.1051	0.4463	0.8194	-
3.9035	136100	0.134	0.4314	0.8201	-
3.9064	136200	0.1123	0.4330	0.8217	-
3.9093	136300	0.0943	0.4433	0.8181	-
3.9121	136400	0.1008	0.4378	0.8191	-
3.9150	136500	0.1047	0.4365	0.8195	-
3.9179	136600	0.1276	0.4338	0.8175	-
3.9207	136700	0.1107	0.4347	0.8165	-
3.9236	136800	0.1156	0.4401	0.8164	-
3.9265	136900	0.1017	0.4238	0.8193	-
3.9293	137000	0.1197	0.4320	0.8186	-
3.9322	137100	0.1049	0.4342	0.8183	-
3.9351	137200	0.142	0.4371	0.8165	-
3.9379	137300	0.1124	0.4495	0.8154	-
3.9408	137400	0.1372	0.4392	0.8173	-
3.9437	137500	0.1202	0.4309	0.8194	-
3.9465	137600	0.1209	0.4380	0.8203	-
3.9494	137700	0.1098	0.4437	0.8168	-
3.9523	137800	0.1287	0.4427	0.8188	-
3.9551	137900	0.0799	0.4428	0.8192	-
3.9580	138000	0.1305	0.4369	0.8211	-
3.9609	138100	0.1335	0.4316	0.8200	-
3.9637	138200	0.1306	0.4338	0.8181	-
3.9666	138300	0.1153	0.4315	0.8173	-
3.9695	138400	0.1188	0.4322	0.8182	-
3.9724	138500	0.0749	0.4384	0.8183	-
3.9752	138600	0.1102	0.4398	0.8195	-
3.9781	138700	0.1015	0.4316	0.8188	-
3.9810	138800	0.1041	0.4243	0.8207	-
3.9838	138900	0.1044	0.4255	0.8195	-
3.9867	139000	0.115	0.4315	0.8181	-
3.9896	139100	0.1302	0.4322	0.8186	-
3.9924	139200	0.1123	0.4349	0.8195	-
3.9953	139300	0.108	0.4355	0.8202	-
3.9982	139400	0.0781	0.4313	0.8204	-
4.0010	139500	0.1075	0.4369	0.8179	-
4.0039	139600	0.104	0.4398	0.8163	-
4.0068	139700	0.072	0.4434	0.8189	-
4.0096	139800	0.083	0.4383	0.8204	-
4.0125	139900	0.1104	0.4317	0.8211	-
4.0154	140000	0.0812	0.4381	0.8197	-
4.0182	140100	0.0705	0.4334	0.8201	-
4.0211	140200	0.0868	0.4373	0.8177	-
4.0240	140300	0.0803	0.4399	0.8174	-
4.0268	140400	0.0849	0.4388	0.8184	-
4.0297	140500	0.116	0.4284	0.8184	-
4.0326	140600	0.0934	0.4362	0.8177	-
4.0355	140700	0.07	0.4380	0.8188	-
4.0383	140800	0.067	0.4385	0.8192	-
4.0412	140900	0.0807	0.4347	0.8199	-
4.0441	141000	0.086	0.4284	0.8216	-
4.0469	141100	0.0701	0.4352	0.8220	-
4.0498	141200	0.1051	0.4375	0.8209	-
4.0527	141300	0.0856	0.4381	0.8206	-
4.0555	141400	0.0842	0.4414	0.8185	-
4.0584	141500	0.0806	0.4375	0.8196	-
4.0613	141600	0.0671	0.4430	0.8183	-
4.0641	141700	0.0718	0.4455	0.8176	-
4.0670	141800	0.1007	0.4430	0.8177	-
4.0699	141900	0.0689	0.4451	0.8193	-
4.0727	142000	0.134	0.4403	0.8205	-
4.0756	142100	0.0795	0.4373	0.8214	-
4.0785	142200	0.0855	0.4416	0.8208	-
4.0813	142300	0.0647	0.4461	0.8187	-
4.0842	142400	0.0802	0.4443	0.8202	-
4.0871	142500	0.0793	0.4350	0.8226	-
4.0899	142600	0.0876	0.4270	0.8231	-
4.0928	142700	0.1069	0.4287	0.8219	-
4.0957	142800	0.083	0.4305	0.8212	-
4.0985	142900	0.0712	0.4401	0.8172	-
4.1014	143000	0.081	0.4391	0.8179	-
4.1043	143100	0.0747	0.4409	0.8172	-
4.1072	143200	0.078	0.4324	0.8183	-
4.1100	143300	0.0683	0.4372	0.8198	-
4.1129	143400	0.0903	0.4433	0.8190	-
4.1158	143500	0.0588	0.4449	0.8153	-
4.1186	143600	0.0799	0.4381	0.8168	-
4.1215	143700	0.0681	0.4489	0.8188	-
4.1244	143800	0.0816	0.4438	0.8205	-
4.1272	143900	0.0806	0.4390	0.8211	-
4.1301	144000	0.0862	0.4371	0.8193	-
4.1330	144100	0.078	0.4442	0.8182	-
4.1358	144200	0.0828	0.4472	0.8198	-
4.1387	144300	0.1114	0.4482	0.8191	-
4.1416	144400	0.084	0.4441	0.8206	-
4.1444	144500	0.1049	0.4473	0.8202	-
4.1473	144600	0.1139	0.4500	0.8191	-
4.1502	144700	0.1041	0.4507	0.8184	-
4.1530	144800	0.0641	0.4417	0.8205	-
4.1559	144900	0.0711	0.4380	0.8212	-
4.1588	145000	0.0938	0.4437	0.8209	-
4.1616	145100	0.1143	0.4495	0.8194	-
4.1645	145200	0.0649	0.4489	0.8194	-
4.1674	145300	0.0867	0.4465	0.8214	-
4.1703	145400	0.0987	0.4390	0.8219	-
4.1731	145500	0.0664	0.4508	0.8198	-
4.1760	145600	0.0645	0.4500	0.8191	-
4.1789	145700	0.0785	0.4535	0.8180	-
4.1817	145800	0.0671	0.4466	0.8189	-
4.1846	145900	0.0733	0.4457	0.8198	-
4.1875	146000	0.0851	0.4443	0.8194	-
4.1903	146100	0.0703	0.4404	0.8214	-
4.1932	146200	0.0851	0.4389	0.8224	-
4.1961	146300	0.0693	0.4451	0.8212	-
4.1989	146400	0.1134	0.4464	0.8195	-
4.2018	146500	0.0818	0.4442	0.8216	-
4.2047	146600	0.0592	0.4461	0.8209	-
4.2075	146700	0.0785	0.4472	0.8203	-
4.2104	146800	0.053	0.4527	0.8204	-
4.2133	146900	0.0642	0.4535	0.8223	-
4.2161	147000	0.0655	0.4532	0.8210	-
4.2190	147100	0.093	0.4524	0.8195	-
4.2219	147200	0.0496	0.4528	0.8201	-
4.2247	147300	0.0807	0.4536	0.8199	-
4.2276	147400	0.0866	0.4522	0.8179	-
4.2305	147500	0.0712	0.4564	0.8163	-
4.2334	147600	0.0593	0.4544	0.8164	-
4.2362	147700	0.0784	0.4448	0.8182	-
4.2391	147800	0.0999	0.4507	0.8177	-
4.2420	147900	0.0788	0.4493	0.8178	-
4.2448	148000	0.0496	0.4467	0.8202	-
4.2477	148100	0.0931	0.4404	0.8200	-
4.2506	148200	0.0769	0.4433	0.8196	-
4.2534	148300	0.0526	0.4450	0.8178	-
4.2563	148400	0.053	0.4450	0.8190	-
4.2592	148500	0.0685	0.4557	0.8171	-
4.2620	148600	0.0689	0.4514	0.8174	-
4.2649	148700	0.0702	0.4474	0.8198	-
4.2678	148800	0.0905	0.4435	0.8194	-
4.2706	148900	0.1051	0.4476	0.8205	-
4.2735	149000	0.0752	0.4438	0.8200	-
4.2764	149100	0.0888	0.4430	0.8184	-
4.2792	149200	0.0685	0.4365	0.8184	-
4.2821	149300	0.0563	0.4394	0.8190	-
4.2850	149400	0.0546	0.4410	0.8202	-
4.2878	149500	0.1106	0.4362	0.8195	-
4.2907	149600	0.0757	0.4377	0.8208	-
4.2936	149700	0.0772	0.4458	0.8184	-
4.2964	149800	0.0832	0.4447	0.8185	-
4.2993	149900	0.0628	0.4404	0.8194	-
4.3022	150000	0.0965	0.4408	0.8194	-
4.3051	150100	0.0909	0.4432	0.8195	-
4.3079	150200	0.0986	0.4456	0.8198	-
4.3108	150300	0.0648	0.4466	0.8175	-
4.3137	150400	0.0848	0.4400	0.8187	-
4.3165	150500	0.0883	0.4362	0.8183	-
4.3194	150600	0.0607	0.4432	0.8188	-
4.3223	150700	0.0671	0.4391	0.8196	-
4.3251	150800	0.0617	0.4474	0.8178	-
4.3280	150900	0.1002	0.4423	0.8193	-
4.3309	151000	0.0595	0.4518	0.8192	-
4.3337	151100	0.0865	0.4420	0.8183	-
4.3366	151200	0.09	0.4454	0.8179	-
4.3395	151300	0.0984	0.4504	0.8164	-
4.3423	151400	0.0847	0.4471	0.8178	-
4.3452	151500	0.0731	0.4445	0.8185	-
4.3481	151600	0.0709	0.4446	0.8200	-
4.3509	151700	0.087	0.4491	0.8194	-
4.3538	151800	0.0805	0.4485	0.8203	-
4.3567	151900	0.088	0.4394	0.8209	-
4.3595	152000	0.07	0.4428	0.8196	-
4.3624	152100	0.0831	0.4433	0.8184	-
4.3653	152200	0.0952	0.4387	0.8184	-
4.3682	152300	0.0599	0.4326	0.8212	-
4.3710	152400	0.0808	0.4346	0.8200	-
4.3739	152500	0.0969	0.4421	0.8197	-
4.3768	152600	0.1113	0.4395	0.8203	-
4.3796	152700	0.0896	0.4402	0.8201	-
4.3825	152800	0.0746	0.4397	0.8216	-
4.3854	152900	0.0869	0.4367	0.8208	-
4.3882	153000	0.0795	0.4335	0.8202	-
4.3911	153100	0.076	0.4401	0.8201	-
4.3940	153200	0.0782	0.4384	0.8213	-
4.3968	153300	0.0824	0.4417	0.8200	-
4.3997	153400	0.0815	0.4427	0.8203	-
4.4026	153500	0.0799	0.4401	0.8212	-
4.4054	153600	0.0637	0.4384	0.8209	-
4.4083	153700	0.0839	0.4378	0.8196	-
4.4112	153800	0.0885	0.4411	0.8194	-
4.4140	153900	0.065	0.4383	0.8202	-
4.4169	154000	0.055	0.4355	0.8216	-
4.4198	154100	0.0717	0.4400	0.8222	-
4.4226	154200	0.0853	0.4372	0.8234	-
4.4255	154300	0.058	0.4372	0.8234	-
4.4284	154400	0.088	0.4372	0.8242	-
4.4313	154500	0.0821	0.4324	0.8228	-
4.4341	154600	0.0681	0.4325	0.8229	-
4.4370	154700	0.068	0.4349	0.8230	-
4.4399	154800	0.0982	0.4369	0.8213	-
4.4427	154900	0.0978	0.4383	0.8205	-
4.4456	155000	0.0644	0.4355	0.8215	-
4.4485	155100	0.0517	0.4413	0.8208	-
4.4513	155200	0.0825	0.4370	0.8225	-
4.4542	155300	0.0995	0.4367	0.8223	-
4.4571	155400	0.0943	0.4390	0.8203	-
4.4599	155500	0.0648	0.4383	0.8210	-
4.4628	155600	0.0742	0.4401	0.8204	-
4.4657	155700	0.0741	0.4342	0.8215	-
4.4685	155800	0.0888	0.4361	0.8216	-
4.4714	155900	0.0841	0.4364	0.8207	-
4.4743	156000	0.0839	0.4361	0.8208	-
4.4771	156100	0.0801	0.4348	0.8200	-
4.4800	156200	0.0588	0.4345	0.8198	-
4.4829	156300	0.0961	0.4362	0.8192	-
4.4857	156400	0.0774	0.4360	0.8191	-
4.4886	156500	0.0955	0.4329	0.8197	-
4.4915	156600	0.0579	0.4346	0.8201	-
4.4943	156700	0.0805	0.4393	0.8199	-
4.4972	156800	0.0741	0.4371	0.8202	-
4.5001	156900	0.0864	0.4394	0.8202	-
4.5030	157000	0.057	0.4372	0.8214	-
4.5058	157100	0.0724	0.4357	0.8219	-
4.5087	157200	0.0864	0.4341	0.8223	-
4.5116	157300	0.0517	0.4375	0.8223	-
4.5144	157400	0.0682	0.4339	0.8218	-
4.5173	157500	0.0898	0.4362	0.8207	-
4.5202	157600	0.0629	0.4418	0.8200	-
4.5230	157700	0.0835	0.4422	0.8199	-
4.5259	157800	0.1006	0.4393	0.8202	-
4.5288	157900	0.0547	0.4352	0.8202	-
4.5316	158000	0.0777	0.4388	0.8188	-
4.5345	158100	0.0925	0.4399	0.8182	-
4.5374	158200	0.0858	0.4397	0.8193	-
4.5402	158300	0.1054	0.4384	0.8196	-
4.5431	158400	0.0761	0.4396	0.8192	-
4.5460	158500	0.0673	0.4361	0.8195	-
4.5488	158600	0.0941	0.4345	0.8194	-
4.5517	158700	0.0774	0.4361	0.8195	-
4.5546	158800	0.0548	0.4341	0.8196	-
4.5574	158900	0.0808	0.4320	0.8195	-
4.5603	159000	0.0965	0.4318	0.8196	-
4.5632	159100	0.0702	0.4315	0.8196	-
4.5661	159200	0.084	0.4343	0.8198	-
4.5689	159300	0.0737	0.4344	0.8192	-
4.5718	159400	0.0941	0.4351	0.8192	-
4.5747	159500	0.0873	0.4384	0.8190	-
4.5775	159600	0.0796	0.4358	0.8200	-
4.5804	159700	0.0834	0.4402	0.8195	-
4.5833	159800	0.0822	0.4364	0.8197	-
4.5861	159900	0.0784	0.4348	0.8192	-
4.5890	160000	0.0721	0.4336	0.8195	-
4.5919	160100	0.079	0.4336	0.8198	-
4.5947	160200	0.0742	0.4365	0.8194	-
4.5976	160300	0.0721	0.4364	0.8197	-
4.6005	160400	0.067	0.4335	0.8198	-
4.6033	160500	0.0741	0.4315	0.8198	-
4.6062	160600	0.0616	0.4319	0.8198	-
4.6091	160700	0.0642	0.4318	0.8195	-
4.6119	160800	0.0672	0.4342	0.8186	-
4.6148	160900	0.0603	0.4356	0.8182	-
4.6177	161000	0.0764	0.4364	0.8183	-
4.6205	161100	0.0533	0.4349	0.8178	-
4.6234	161200	0.0916	0.4347	0.8179	-
4.6263	161300	0.0858	0.4405	0.8170	-
4.6292	161400	0.0869	0.4408	0.8167	-
4.6320	161500	0.1036	0.4372	0.8177	-
4.6349	161600	0.0866	0.4354	0.8177	-
4.6378	161700	0.0836	0.4373	0.8179	-
4.6406	161800	0.0659	0.4372	0.8186	-
4.6435	161900	0.0641	0.4318	0.8202	-
4.6464	162000	0.0647	0.4312	0.8196	-
4.6492	162100	0.0752	0.4317	0.8197	-
4.6521	162200	0.0802	0.4322	0.8194	-
4.6550	162300	0.1067	0.4323	0.8194	-
4.6578	162400	0.0798	0.4351	0.8188	-
4.6607	162500	0.1048	0.4349	0.8178	-
4.6636	162600	0.0511	0.4381	0.8174	-
4.6664	162700	0.0543	0.4396	0.8171	-
4.6693	162800	0.094	0.4368	0.8179	-
4.6722	162900	0.0648	0.4383	0.8184	-
4.6750	163000	0.0994	0.4375	0.8190	-
4.6779	163100	0.0614	0.4375	0.8197	-
4.6808	163200	0.0703	0.4359	0.8195	-
4.6836	163300	0.057	0.4374	0.8200	-
4.6865	163400	0.0608	0.4385	0.8203	-
4.6894	163500	0.0711	0.4398	0.8205	-
4.6923	163600	0.0716	0.4401	0.8195	-
4.6951	163700	0.1019	0.4359	0.8201	-
4.6980	163800	0.0619	0.4373	0.8188	-
4.7009	163900	0.0922	0.4343	0.8192	-
4.7037	164000	0.0768	0.4347	0.8187	-
4.7066	164100	0.074	0.4330	0.8191	-
4.7095	164200	0.05	0.4348	0.8191	-
4.7123	164300	0.0634	0.4363	0.8190	-
4.7152	164400	0.094	0.4350	0.8201	-
4.7181	164500	0.075	0.4357	0.8194	-
4.7209	164600	0.0628	0.4333	0.8194	-
4.7238	164700	0.0705	0.4353	0.8196	-
4.7267	164800	0.0753	0.4348	0.8200	-
4.7295	164900	0.0737	0.4380	0.8193	-
4.7324	165000	0.0598	0.4367	0.8198	-
4.7353	165100	0.0578	0.4371	0.8194	-
4.7381	165200	0.0701	0.4358	0.8194	-
4.7410	165300	0.0838	0.4364	0.8194	-
4.7439	165400	0.0978	0.4346	0.8195	-
4.7467	165500	0.0716	0.4337	0.8197	-
4.7496	165600	0.0628	0.4358	0.8196	-
4.7525	165700	0.0698	0.4362	0.8199	-
4.7553	165800	0.0603	0.4358	0.8198	-
4.7582	165900	0.0444	0.4393	0.8189	-
4.7611	166000	0.0697	0.4384	0.8187	-
4.7640	166100	0.0394	0.4379	0.8189	-
4.7668	166200	0.0943	0.4393	0.8183	-
4.7697	166300	0.1012	0.4384	0.8185	-
4.7726	166400	0.0871	0.4370	0.8189	-
4.7754	166500	0.1072	0.4376	0.8186	-
4.7783	166600	0.0778	0.4377	0.8189	-
4.7812	166700	0.0915	0.4361	0.8191	-
4.7840	166800	0.0741	0.4372	0.8191	-
4.7869	166900	0.0456	0.4398	0.8189	-
4.7898	167000	0.0798	0.4385	0.8189	-
4.7926	167100	0.0682	0.4389	0.8185	-
4.7955	167200	0.0665	0.4391	0.8186	-
4.7984	167300	0.0938	0.4372	0.8185	-
4.8012	167400	0.0965	0.4358	0.8190	-
4.8041	167500	0.0677	0.4368	0.8186	-
4.8070	167600	0.0673	0.4373	0.8188	-
4.8098	167700	0.0784	0.4378	0.8190	-
4.8127	167800	0.0658	0.4356	0.8191	-
4.8156	167900	0.0743	0.4360	0.8185	-
4.8184	168000	0.0871	0.4357	0.8194	-
4.8213	168100	0.1127	0.4350	0.8193	-
4.8242	168200	0.0564	0.4353	0.8191	-
4.8271	168300	0.0784	0.4349	0.8192	-
4.8299	168400	0.0827	0.4349	0.8193	-
4.8328	168500	0.0832	0.4345	0.8195	-
4.8357	168600	0.0812	0.4343	0.8196	-
4.8385	168700	0.0663	0.4346	0.8198	-
4.8414	168800	0.0731	0.4352	0.8196	-
4.8443	168900	0.1037	0.4333	0.8200	-
4.8471	169000	0.0742	0.4328	0.8203	-
4.8500	169100	0.0748	0.4328	0.8200	-
4.8529	169200	0.0795	0.4324	0.8201	-
4.8557	169300	0.088	0.4312	0.8206	-
4.8586	169400	0.0908	0.4293	0.8208	-
4.8615	169500	0.086	0.4307	0.8208	-
4.8643	169600	0.0651	0.4321	0.8203	-
4.8672	169700	0.071	0.4328	0.8204	-
4.8701	169800	0.0592	0.4346	0.8203	-
4.8729	169900	0.0798	0.4362	0.8200	-
4.8758	170000	0.071	0.4366	0.8200	-
4.8787	170100	0.0604	0.4358	0.8198	-
4.8815	170200	0.0788	0.4369	0.8196	-
4.8844	170300	0.0686	0.4375	0.8195	-
4.8873	170400	0.0657	0.4377	0.8195	-
4.8902	170500	0.0931	0.4380	0.8195	-
4.8930	170600	0.0842	0.4395	0.8195	-
4.8959	170700	0.1043	0.4382	0.8196	-
4.8988	170800	0.0748	0.4375	0.8196	-
4.9016	170900	0.088	0.4373	0.8198	-
4.9045	171000	0.0663	0.4360	0.8199	-
4.9074	171100	0.0969	0.4354	0.8200	-
4.9102	171200	0.0836	0.4353	0.8198	-
4.9131	171300	0.0581	0.4370	0.8197	-
4.9160	171400	0.0917	0.4359	0.8197	-
4.9188	171500	0.0821	0.4347	0.8198	-
4.9217	171600	0.071	0.4351	0.8196	-
4.9246	171700	0.0834	0.4352	0.8195	-
4.9274	171800	0.056	0.4357	0.8193	-
4.9303	171900	0.0863	0.4356	0.8193	-
4.9332	172000	0.0773	0.4357	0.8193	-
4.9360	172100	0.0751	0.4353	0.8194	-
4.9389	172200	0.0539	0.4351	0.8194	-
4.9418	172300	0.0653	0.4356	0.8195	-
4.9446	172400	0.0762	0.4356	0.8195	-
4.9475	172500	0.0775	0.4358	0.8194	-
4.9504	172600	0.0802	0.4355	0.8196	-
4.9532	172700	0.0728	0.4354	0.8196	-
4.9561	172800	0.0878	0.4340	0.8199	-
4.9590	172900	0.0469	0.4341	0.8199	-
4.9619	173000	0.0666	0.4338	0.8199	-
4.9647	173100	0.0722	0.4339	0.8198	-
4.9676	173200	0.0766	0.4340	0.8198	-
4.9705	173300	0.0772	0.4343	0.8197	-
4.9733	173400	0.0673	0.4344	0.8198	-
4.9762	173500	0.0682	0.4342	0.8198	-
4.9791	173600	0.0731	0.4344	0.8197	-
4.9819	173700	0.0582	0.4343	0.8198	-
4.9848	173800	0.0577	0.4345	0.8198	-
4.9877	173900	0.1067	0.4343	0.8198	-
4.9905	174000	0.0707	0.4342	0.8199	-
4.9934	174100	0.0596	0.4342	0.8198	-
4.9963	174200	0.0539	0.4342	0.8198	-
4.9991	174300	0.0918	0.4342	0.8199	-
-1	-1	-	-	-	0.7971

Framework Versions

Python: 3.13.0
Sentence Transformers: 5.1.2
Transformers: 4.57.1
PyTorch: 2.9.1+cu128
Accelerate: 1.11.0
Datasets: 4.4.1
Tokenizers: 0.22.1

Citation

BibTeX

Sentence Transformers

@inproceedings{reimers-2019-sentence-bert,
    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2019",
    publisher = "Association for Computational Linguistics",
    url = "https://arxiv.org/abs/1908.10084",
}

MatryoshkaLoss

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

MultipleNegativesRankingLoss

@misc{henderson2017efficient,
    title={Efficient Natural Language Response Suggestion for Smart Reply},
    author={Matthew Henderson and Rami Al-Rfou and Brian Strope and Yun-hsuan Sung and Laszlo Lukacs and Ruiqi Guo and Sanjiv Kumar and Balint Miklos and Ray Kurzweil},
    year={2017},
    eprint={1705.00652},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}