CrossEncoder based on jhu-clsp/ettin-encoder-68m

This is a Cross Encoder model finetuned from jhu-clsp/ettin-encoder-68m on the msmarco dataset using the sentence-transformers library. It computes scores for pairs of texts, which can be used for text reranking and semantic search.

Model Details

Model Description

Model Type: Cross Encoder
Base model: jhu-clsp/ettin-encoder-68m
Maximum Sequence Length: 512 tokens
Number of Output Labels: 1 label
Training Dataset:
- msmarco
Language: en

Model Sources

Documentation: Sentence Transformers Documentation
Documentation: Cross Encoder Documentation
Repository: Sentence Transformers on GitHub
Hugging Face: Cross Encoders on Hugging Face

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 CrossEncoder

# Download from the 🤗 Hub
model = CrossEncoder("tomaarsen/ms-marco-ettin-68m-reranker")
# Get scores for pairs of texts
pairs = [
    ['does a cars registered owner have to be the insurance policy holder?', 'For example when a person has a company car they may be registered as the keeper though they are not the owner. Named driver-this is a driver who has been added to a car insurance policy to be an additional one to the main driver.'],
    ['how to pronounce lucretia', "Lucretia /lu-cre-tia/ [3 sylls.] as a girls' name is pronounced loo-KREE-shah. It is of Latin origin, and the meaning of Lucretia is succeed. Also possibly of Etruscan origin and of uncertain meaning. The name of a Roman matron who committed suicide in public protest against dishonor."],
    ['average cost of gym equipment', 'When equipping a home-gym, itâ\x80\x99s critical to consider at least one piece of cardio equipment. The top four treadmill picks from Consumer Search range from $990 to $3,500, with the average costing around $2,000.Another piece of popular cardio equipment is an elliptical trainer, which averages $1,500.he top four treadmill picks from Consumer Search range from $990 to $3,500, with the average costing around $2,000. Another piece of popular cardio equipment is an elliptical trainer, which averages $1,500.'],
    ['is cerebral palsy a disease', 'It occurs in about 2.1 per 1,000 live births. Cerebral palsy has been documented throughout history with the first known descriptions occurring in the work of Hippocrates in the 5th century BCE. Extensive study of the condition began in the 19th century by William John Little, after whom it was called Little disease.'],
    ['what is a service in cherwell', 'Cherwell Service Management (CSM) is a cloud-based software product that helps an IT organization to deliver certified ITIL processes such as: Additionally, it has the ability to provide a customer-friendly IT self-service portal, powerful dashboards and reporting.'],
]
scores = model.predict(pairs)
print(scores.shape)
# (5,)

# Or rank different texts based on similarity to a single text
ranks = model.rank(
    'does a cars registered owner have to be the insurance policy holder?',
    [
        'For example when a person has a company car they may be registered as the keeper though they are not the owner. Named driver-this is a driver who has been added to a car insurance policy to be an additional one to the main driver.',
        "Lucretia /lu-cre-tia/ [3 sylls.] as a girls' name is pronounced loo-KREE-shah. It is of Latin origin, and the meaning of Lucretia is succeed. Also possibly of Etruscan origin and of uncertain meaning. The name of a Roman matron who committed suicide in public protest against dishonor.",
        'When equipping a home-gym, itâ\x80\x99s critical to consider at least one piece of cardio equipment. The top four treadmill picks from Consumer Search range from $990 to $3,500, with the average costing around $2,000.Another piece of popular cardio equipment is an elliptical trainer, which averages $1,500.he top four treadmill picks from Consumer Search range from $990 to $3,500, with the average costing around $2,000. Another piece of popular cardio equipment is an elliptical trainer, which averages $1,500.',
        'It occurs in about 2.1 per 1,000 live births. Cerebral palsy has been documented throughout history with the first known descriptions occurring in the work of Hippocrates in the 5th century BCE. Extensive study of the condition began in the 19th century by William John Little, after whom it was called Little disease.',
        'Cherwell Service Management (CSM) is a cloud-based software product that helps an IT organization to deliver certified ITIL processes such as: Additionally, it has the ability to provide a customer-friendly IT self-service portal, powerful dashboards and reporting.',
    ]
)
# [{'corpus_id': ..., 'score': ...}, {'corpus_id': ..., 'score': ...}, ...]

Evaluation

Metrics

Cross Encoder Reranking

Datasets: NanoMSMARCO_R100, NanoNFCorpus_R100 and NanoNQ_R100

Evaluated with CrossEncoderRerankingEvaluator with these parameters:

{
    "at_k": 10,
    "always_rerank_positives": true
}

Metric	NanoMSMARCO_R100	NanoNFCorpus_R100	NanoNQ_R100
map	0.6474 (+0.1578)	0.3581 (+0.0971)	0.7449 (+0.3253)
mrr@10	0.6422 (+0.1647)	0.5719 (+0.0720)	0.7690 (+0.3423)
ndcg@10	0.7086 (+0.1682)	0.4101 (+0.0850)	0.7878 (+0.2871)

Cross Encoder Nano BEIR

Dataset: NanoBEIR_R100_mean

Evaluated with CrossEncoderNanoBEIREvaluator with these parameters:

{
    "dataset_names": [
        "msmarco",
        "nfcorpus",
        "nq"
    ],
    "rerank_k": 100,
    "at_k": 10,
    "always_rerank_positives": true
}

Metric	Value
map	0.5834 (+0.1934)
mrr@10	0.6610 (+0.1930)
ndcg@10	0.6355 (+0.1801)

Training Details

Training Dataset

msmarco

Dataset: msmarco at 9e329ed
Size: 39,770,704 training samples
Columns: query_id, positive_id, negative_id, and score

Approximate statistics based on the first 1000 samples:

	query_id	positive_id	negative_id	score
type	string	string	string	float
details	min: 9 characters mean: 34.31 characters max: 135 characters	min: 52 characters mean: 356.08 characters max: 843 characters	min: 75 characters mean: 350.32 characters max: 990 characters	min: -3.52 mean: 13.57 max: 22.49

Samples:

query_id	positive_id	negative_id	score
`what is the salary for a supervisor at tyson foods?`	`Tyson Foods Production Supervisor Salary. Tyson Foods Production Supervisor average salary is $38,288, median salary is $36,000 with a salary range from $31,000 to $71,200. Tyson Foods Production Supervisor salaries are collected from government agencies and companies. Each salary is associated with a real job position. Tyson Foods Production Supervisor salary statistics is not exclusive and is for reference only. They are presented as is and updated regularly.`	`Internal Reporting. An employee should follow an employer's policy for making a report of discrimination. In general, the employee should report the discrimination to her supervisor. If the supervisor is responsible for the discrimination, the employee should report the incident to the supervisor's supervisor.`	`21.560779412587486`
`what is a vulva`	The vulva is the outer part of the female genitals. The vulva includes the opening of the vagina (sometimes called the vestibule), the labia majora (outer lips), the labia minora (inner lips), and the clitoris.Around the opening of the vagina, there are 2 sets of skin folds.he Bartholin glands are found just inside the opening of the vagina -- one on each side. These glands produce a mucus-like fluid that acts as a lubricant during sex. At the front of the vagina, the labia minora meet to form a fold or small hood of skin called the prepuce.	Vulvar cancer is a type of cancer that occurs on the outer surface area of the female genitalia. The vulva is the area of skin that surrounds the urethra and vagina, including the clitoris and labia. Vulvar cancer commonly forms as a lump or sore on the vulva that often causes itching. Though it can occur at any age, vulvar cancer is most commonly diagnosed in older women. Vulvar cancer treatment usually involves surgery to remove the cancer and a small amount of surrounding healthy tissue. Sometimes vulvar cancer surgery requires removing the entire vulva. The earlier vulvar cancer is diagnosed, the less likely an extensive surgery is needed for treatment. Symptoms.	`1.783429940541585`
`what is fighting type pokemon weak against`	`Examples: 1 Electric-type attacks on a water/flying-type Pokemon mix for 4x damage. 2 This is because Electric-types are strong against both Water-and Flying-types. 3 Fighting-type attacks on a Flying/Poison-type Pokemon mix for .25x damage.`	`The second Zapdos, an Electric-type Electric Pokemon. PokÃ©mon zapdos first appeared in the video game series which the player can Capture zapdos in The Power. Plant the last one Is, moltres A-fire Type Flame pokemon pokÃ©mon and one of the Three bird pokemon pokÃ©mon that is considered as. the most legendary`	`12.374764601389566`

Loss: MarginMSELoss with these parameters:

{
    "activation_fn": "torch.nn.modules.linear.Identity"
}

Evaluation Dataset

msmarco

Dataset: msmarco at 9e329ed
Size: 10,000 evaluation samples
Columns: query_id, positive_id, negative_id, and score

Approximate statistics based on the first 1000 samples:

	query_id	positive_id	negative_id	score
type	string	string	string	float
details	min: 11 characters mean: 34.73 characters max: 158 characters	min: 76 characters mean: 355.74 characters max: 1217 characters	min: 59 characters mean: 339.1 characters max: 963 characters	min: -1.69 mean: 13.45 max: 22.14

Samples:

query_id	positive_id	negative_id	score
`does a cars registered owner have to be the insurance policy holder?`	`For example when a person has a company car they may be registered as the keeper though they are not the owner. Named driver-this is a driver who has been added to a car insurance policy to be an additional one to the main driver.`	`Features & Benefits Of Third Party Insurance Policy For Cars. 1 Death or bodily injury to a third party. 2 Damage to third party property. 3 Accidental death of the vehicleâs Owner or Driver. 4 Permanent Total Disability suffered by vehicleâs Owner or Driver.`	`5.590251604715983`
`how to pronounce lucretia`	`Lucretia /lu-cre-tia/ [3 sylls.] as a girls' name is pronounced loo-KREE-shah. It is of Latin origin, and the meaning of Lucretia is succeed. Also possibly of Etruscan origin and of uncertain meaning. The name of a Roman matron who committed suicide in public protest against dishonor.`	`How To Pronounce Safat. English pronunciation for Safat is: Breaking a name down into syllables can make pronouncing it much easier. If you see the name Safat divided into smaller parts you can try to pronounce each part separately to get correct emphasis.`	`17.093592802683514`
`average cost of gym equipment`	When equipping a home-gym, itâs critical to consider at least one piece of cardio equipment. The top four treadmill picks from Consumer Search range from $990 to $3,500, with the average costing around $2,000.Another piece of popular cardio equipment is an elliptical trainer, which averages $1,500.he top four treadmill picks from Consumer Search range from $990 to $3,500, with the average costing around $2,000. Another piece of popular cardio equipment is an elliptical trainer, which averages $1,500.	`âItâs what we all learned â or should have learned â in sixth-grade health class,â he said. âItâs all common sense. You need to keep yourself and your equipment clean. You never know who last used the equipment in a gym. It can be a great breeding ground for these bugs, some of which are pretty nasty.â`	`15.078913132349651`

Loss: MarginMSELoss with these parameters:

{
    "activation_fn": "torch.nn.modules.linear.Identity"
}

Training Hyperparameters

Non-Default Hyperparameters

eval_strategy: steps
per_device_train_batch_size: 256
per_device_eval_batch_size: 256
learning_rate: 2e-05
num_train_epochs: 1
warmup_ratio: 0.1
seed: 12
bf16: True
load_best_model_at_end: 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: 256
per_device_eval_batch_size: 256
per_gpu_train_batch_size: None
per_gpu_eval_batch_size: None
gradient_accumulation_steps: 1
eval_accumulation_steps: None
torch_empty_cache_steps: None
learning_rate: 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: 12
data_seed: None
jit_mode_eval: False
bf16: True
fp16: False
fp16_opt_level: O1
half_precision_backend: auto
bf16_full_eval: False
fp16_full_eval: False
tf32: None
local_rank: 0
ddp_backend: None
tpu_num_cores: None
tpu_metrics_debug: False
debug: []
dataloader_drop_last: True
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: True
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	NanoMSMARCO_R100_ndcg@10	NanoNFCorpus_R100_ndcg@10	NanoNQ_R100_ndcg@10	NanoBEIR_R100_mean_ndcg@10
-1	-1	-	-	0.0191 (-0.5213)	0.2366 (-0.0884)	0.0332 (-0.4675)	0.0963 (-0.3591)
0.0001	1	205.7634	-	-	-	-	-
0.0020	39	209.0864	-	-	-	-	-
0.0040	78	205.3905	-	-	-	-	-
0.0060	117	198.5226	-	-	-	-	-
0.0080	156	187.3992	-	-	-	-	-
0.0100	195	173.062	163.0107	0.0826 (-0.4578)	0.2753 (-0.0497)	0.1163 (-0.3844)	0.1580 (-0.2973)
0.0121	234	154.6088	-	-	-	-	-
0.0141	273	129.1789	-	-	-	-	-
0.0161	312	85.9178	-	-	-	-	-
0.0181	351	48.0864	-	-	-	-	-
0.0201	390	33.2479	28.7226	0.5448 (+0.0043)	0.3598 (+0.0347)	0.4913 (-0.0093)	0.4653 (+0.0099)
0.0221	429	26.1395	-	-	-	-	-
0.0241	468	21.4156	-	-	-	-	-
0.0261	507	18.4675	-	-	-	-	-
0.0281	546	16.1435	-	-	-	-	-
0.0301	585	14.2426	13.7192	0.5958 (+0.0553)	0.3909 (+0.0659)	0.6268 (+0.1261)	0.5378 (+0.0825)
0.0321	624	13.0593	-	-	-	-	-
0.0341	663	11.9561	-	-	-	-	-
0.0362	702	11.3387	-	-	-	-	-
0.0382	741	10.3913	-	-	-	-	-
0.0402	780	9.6607	9.5505	0.5964 (+0.0560)	0.4018 (+0.0768)	0.6765 (+0.1759)	0.5582 (+0.1029)
0.0422	819	9.1261	-	-	-	-	-
0.0442	858	8.6014	-	-	-	-	-
0.0462	897	8.3014	-	-	-	-	-
0.0482	936	7.8924	-	-	-	-	-
0.0502	975	7.5679	7.5872	0.6055 (+0.0650)	0.4011 (+0.0761)	0.7020 (+0.2014)	0.5695 (+0.1142)
0.0522	1014	7.2393	-	-	-	-	-
0.0542	1053	6.9913	-	-	-	-	-
0.0562	1092	6.7492	-	-	-	-	-
0.0582	1131	6.5946	-	-	-	-	-
0.0603	1170	6.387	6.3510	0.6506 (+0.1102)	0.4084 (+0.0833)	0.7107 (+0.2100)	0.5899 (+0.1345)
0.0623	1209	6.1871	-	-	-	-	-
0.0643	1248	6.0328	-	-	-	-	-
0.0663	1287	6.0049	-	-	-	-	-
0.0683	1326	5.7902	-	-	-	-	-
0.0703	1365	5.6371	5.6318	0.6600 (+0.1196)	0.4063 (+0.0813)	0.7021 (+0.2014)	0.5895 (+0.1341)
0.0723	1404	5.5341	-	-	-	-	-
0.0743	1443	5.4093	-	-	-	-	-
0.0763	1482	5.4064	-	-	-	-	-
0.0783	1521	5.348	-	-	-	-	-
0.0803	1560	5.0726	5.0712	0.6755 (+0.1351)	0.4093 (+0.0843)	0.7006 (+0.1999)	0.5951 (+0.1398)
0.0823	1599	5.0875	-	-	-	-	-
0.0844	1638	5.0279	-	-	-	-	-
0.0864	1677	4.884	-	-	-	-	-
0.0884	1716	4.8179	-	-	-	-	-
0.0904	1755	4.8205	4.7885	0.6711 (+0.1307)	0.4048 (+0.0798)	0.7152 (+0.2146)	0.5971 (+0.1417)
0.0924	1794	4.6914	-	-	-	-	-
0.0944	1833	4.6565	-	-	-	-	-
0.0964	1872	4.5685	-	-	-	-	-
0.0984	1911	4.4617	-	-	-	-	-
0.1004	1950	4.4202	4.3938	0.6554 (+0.1150)	0.4093 (+0.0843)	0.7045 (+0.2039)	0.5897 (+0.1344)
0.1024	1989	4.3885	-	-	-	-	-
0.1044	2028	4.351	-	-	-	-	-
0.1064	2067	4.2522	-	-	-	-	-
0.1085	2106	4.2619	-	-	-	-	-
0.1105	2145	4.175	4.1509	0.6596 (+0.1192)	0.4149 (+0.0898)	0.7299 (+0.2293)	0.6015 (+0.1461)
0.1125	2184	4.1337	-	-	-	-	-
0.1145	2223	4.0883	-	-	-	-	-
0.1165	2262	4.0799	-	-	-	-	-
0.1185	2301	3.9775	-	-	-	-	-
0.1205	2340	3.9562	3.9644	0.6580 (+0.1176)	0.4136 (+0.0885)	0.7437 (+0.2430)	0.6051 (+0.1497)
0.1225	2379	3.8889	-	-	-	-	-
0.1245	2418	3.8587	-	-	-	-	-
0.1265	2457	3.822	-	-	-	-	-
0.1285	2496	3.7963	-	-	-	-	-
0.1305	2535	3.814	3.7850	0.6635 (+0.1231)	0.4036 (+0.0786)	0.7248 (+0.2242)	0.5973 (+0.1419)
0.1326	2574	3.7665	-	-	-	-	-
0.1346	2613	3.7226	-	-	-	-	-
0.1366	2652	3.7418	-	-	-	-	-
0.1386	2691	3.6575	-	-	-	-	-
0.1406	2730	3.6418	3.6521	0.6629 (+0.1225)	0.4101 (+0.0851)	0.7334 (+0.2328)	0.6021 (+0.1468)
0.1426	2769	3.5892	-	-	-	-	-
0.1446	2808	3.5589	-	-	-	-	-
0.1466	2847	3.5254	-	-	-	-	-
0.1486	2886	3.5035	-	-	-	-	-
0.1506	2925	3.5073	3.4462	0.6679 (+0.1274)	0.4056 (+0.0805)	0.7469 (+0.2462)	0.6068 (+0.1514)
0.1526	2964	3.4131	-	-	-	-	-
0.1546	3003	3.4122	-	-	-	-	-
0.1567	3042	3.3845	-	-	-	-	-
0.1587	3081	3.3994	-	-	-	-	-
0.1607	3120	3.3618	3.3692	0.6680 (+0.1276)	0.4109 (+0.0858)	0.7231 (+0.2224)	0.6007 (+0.1453)
0.1627	3159	3.3318	-	-	-	-	-
0.1647	3198	3.3173	-	-	-	-	-
0.1667	3237	3.3207	-	-	-	-	-
0.1687	3276	3.2827	-	-	-	-	-
0.1707	3315	3.2371	3.2761	0.6502 (+0.1097)	0.4074 (+0.0823)	0.7402 (+0.2395)	0.5992 (+0.1439)
0.1727	3354	3.21	-	-	-	-	-
0.1747	3393	3.2402	-	-	-	-	-
0.1767	3432	3.1845	-	-	-	-	-
0.1787	3471	3.1894	-	-	-	-	-
0.1808	3510	3.1895	3.2190	0.6717 (+0.1312)	0.4153 (+0.0902)	0.7344 (+0.2337)	0.6071 (+0.1517)
0.1828	3549	3.0807	-	-	-	-	-
0.1848	3588	3.0925	-	-	-	-	-
0.1868	3627	3.0926	-	-	-	-	-
0.1888	3666	3.1132	-	-	-	-	-
0.1908	3705	3.0703	3.0635	0.6968 (+0.1563)	0.4048 (+0.0798)	0.7557 (+0.2551)	0.6191 (+0.1637)
0.1928	3744	3.0029	-	-	-	-	-
0.1948	3783	3.0332	-	-	-	-	-
0.1968	3822	3.0108	-	-	-	-	-
0.1988	3861	2.9938	-	-	-	-	-
0.2008	3900	3.0066	2.9975	0.6912 (+0.1507)	0.4134 (+0.0884)	0.7395 (+0.2388)	0.6147 (+0.1593)
0.2028	3939	2.9843	-	-	-	-	-
0.2049	3978	2.9879	-	-	-	-	-
0.2069	4017	2.9536	-	-	-	-	-
0.2089	4056	2.9182	-	-	-	-	-
0.2109	4095	2.9533	2.9762	0.6691 (+0.1287)	0.4090 (+0.0839)	0.7537 (+0.2530)	0.6106 (+0.1552)
0.2129	4134	2.9203	-	-	-	-	-
0.2149	4173	2.8981	-	-	-	-	-
0.2169	4212	2.8901	-	-	-	-	-
0.2189	4251	2.8543	-	-	-	-	-
0.2209	4290	2.8381	2.9045	0.6855 (+0.1451)	0.4110 (+0.0859)	0.7697 (+0.2690)	0.6220 (+0.1667)
0.2229	4329	2.824	-	-	-	-	-
0.2249	4368	2.8226	-	-	-	-	-
0.2269	4407	2.7882	-	-	-	-	-
0.2290	4446	2.803	-	-	-	-	-
0.2310	4485	2.7646	2.8263	0.6939 (+0.1534)	0.4109 (+0.0858)	0.7636 (+0.2629)	0.6228 (+0.1674)
0.2330	4524	2.8027	-	-	-	-	-
0.2350	4563	2.7702	-	-	-	-	-
0.2370	4602	2.8005	-	-	-	-	-
0.2390	4641	2.7758	-	-	-	-	-
0.2410	4680	2.731	2.7957	0.6932 (+0.1528)	0.4106 (+0.0855)	0.7728 (+0.2722)	0.6255 (+0.1702)
0.2430	4719	2.7704	-	-	-	-	-
0.2450	4758	2.7057	-	-	-	-	-
0.2470	4797	2.7292	-	-	-	-	-
0.2490	4836	2.7203	-	-	-	-	-
0.2510	4875	2.7036	2.7686	0.6816 (+0.1412)	0.4126 (+0.0875)	0.7601 (+0.2595)	0.6181 (+0.1627)
0.2531	4914	2.6795	-	-	-	-	-
0.2551	4953	2.6726	-	-	-	-	-
0.2571	4992	2.6835	-	-	-	-	-
0.2591	5031	2.6168	-	-	-	-	-
0.2611	5070	2.6506	2.6770	0.6869 (+0.1465)	0.4176 (+0.0926)	0.7565 (+0.2559)	0.6203 (+0.1650)
0.2631	5109	2.6123	-	-	-	-	-
0.2651	5148	2.6509	-	-	-	-	-
0.2671	5187	2.6128	-	-	-	-	-
0.2691	5226	2.6309	-	-	-	-	-
0.2711	5265	2.6047	2.6134	0.7008 (+0.1604)	0.4085 (+0.0834)	0.7692 (+0.2686)	0.6262 (+0.1708)
0.2731	5304	2.5688	-	-	-	-	-
0.2751	5343	2.562	-	-	-	-	-
0.2772	5382	2.5622	-	-	-	-	-
0.2792	5421	2.5653	-	-	-	-	-
0.2812	5460	2.5825	2.6112	0.7112 (+0.1708)	0.4150 (+0.0899)	0.7791 (+0.2784)	0.6351 (+0.1797)
0.2832	5499	2.5503	-	-	-	-	-
0.2852	5538	2.5474	-	-	-	-	-
0.2872	5577	2.5231	-	-	-	-	-
0.2892	5616	2.5094	-	-	-	-	-
0.2912	5655	2.5419	2.5872	0.6977 (+0.1573)	0.4098 (+0.0848)	0.7765 (+0.2758)	0.6280 (+0.1726)
0.2932	5694	2.5096	-	-	-	-	-
0.2952	5733	2.498	-	-	-	-	-
0.2972	5772	2.4845	-	-	-	-	-
0.2992	5811	2.5081	-	-	-	-	-
0.3013	5850	2.4539	2.5492	0.6914 (+0.1510)	0.4077 (+0.0826)	0.7692 (+0.2686)	0.6228 (+0.1674)
0.3033	5889	2.5094	-	-	-	-	-
0.3053	5928	2.4857	-	-	-	-	-
0.3073	5967	2.4578	-	-	-	-	-
0.3093	6006	2.4334	-	-	-	-	-
0.3113	6045	2.4232	2.5261	0.6861 (+0.1456)	0.4061 (+0.0811)	0.7819 (+0.2812)	0.6247 (+0.1693)
0.3133	6084	2.4369	-	-	-	-	-
0.3153	6123	2.4409	-	-	-	-	-
0.3173	6162	2.4275	-	-	-	-	-
0.3193	6201	2.4158	-	-	-	-	-
0.3213	6240	2.3969	2.4588	0.6853 (+0.1449)	0.4148 (+0.0898)	0.7730 (+0.2724)	0.6244 (+0.1690)
0.3233	6279	2.4116	-	-	-	-	-
0.3254	6318	2.3865	-	-	-	-	-
0.3274	6357	2.3852	-	-	-	-	-
0.3294	6396	2.3893	-	-	-	-	-
0.3314	6435	2.3782	2.4398	0.6888 (+0.1484)	0.4207 (+0.0956)	0.7665 (+0.2658)	0.6253 (+0.1699)
0.3334	6474	2.39	-	-	-	-	-
0.3354	6513	2.3934	-	-	-	-	-
0.3374	6552	2.3467	-	-	-	-	-
0.3394	6591	2.3441	-	-	-	-	-
0.3414	6630	2.3521	2.4294	0.6934 (+0.1530)	0.4136 (+0.0886)	0.7658 (+0.2652)	0.6243 (+0.1689)
0.3434	6669	2.3321	-	-	-	-	-
0.3454	6708	2.3436	-	-	-	-	-
0.3474	6747	2.3598	-	-	-	-	-
0.3495	6786	2.3374	-	-	-	-	-
0.3515	6825	2.322	2.3748	0.6744 (+0.1340)	0.4149 (+0.0899)	0.7765 (+0.2758)	0.6219 (+0.1666)
0.3535	6864	2.2969	-	-	-	-	-
0.3555	6903	2.3072	-	-	-	-	-
0.3575	6942	2.3367	-	-	-	-	-
0.3595	6981	2.2566	-	-	-	-	-
0.3615	7020	2.309	2.3426	0.6936 (+0.1532)	0.4072 (+0.0821)	0.7620 (+0.2613)	0.6209 (+0.1655)
0.3635	7059	2.2796	-	-	-	-	-
0.3655	7098	2.2858	-	-	-	-	-
0.3675	7137	2.2847	-	-	-	-	-
0.3695	7176	2.2828	-	-	-	-	-
0.3715	7215	2.2553	2.3401	0.6786 (+0.1382)	0.4117 (+0.0866)	0.7742 (+0.2736)	0.6215 (+0.1661)
0.3736	7254	2.251	-	-	-	-	-
0.3756	7293	2.2522	-	-	-	-	-
0.3776	7332	2.2303	-	-	-	-	-
0.3796	7371	2.2658	-	-	-	-	-
0.3816	7410	2.2538	2.2876	0.6835 (+0.1431)	0.4216 (+0.0965)	0.7750 (+0.2743)	0.6267 (+0.1713)
0.3836	7449	2.2191	-	-	-	-	-
0.3856	7488	2.2149	-	-	-	-	-
0.3876	7527	2.2367	-	-	-	-	-
0.3896	7566	2.228	-	-	-	-	-
0.3916	7605	2.1954	2.2534	0.6911 (+0.1507)	0.4166 (+0.0916)	0.7782 (+0.2776)	0.6287 (+0.1733)
0.3936	7644	2.2174	-	-	-	-	-
0.3956	7683	2.2078	-	-	-	-	-
0.3977	7722	2.1953	-	-	-	-	-
0.3997	7761	2.1835	-	-	-	-	-
0.4017	7800	2.1734	2.2396	0.6874 (+0.1470)	0.4133 (+0.0883)	0.7803 (+0.2797)	0.6270 (+0.1717)
0.4037	7839	2.1799	-	-	-	-	-
0.4057	7878	2.1893	-	-	-	-	-
0.4077	7917	2.1848	-	-	-	-	-
0.4097	7956	2.1963	-	-	-	-	-
0.4117	7995	2.1902	2.2266	0.6799 (+0.1394)	0.4090 (+0.0840)	0.7798 (+0.2792)	0.6229 (+0.1675)
0.4137	8034	2.1684	-	-	-	-	-
0.4157	8073	2.1832	-	-	-	-	-
0.4177	8112	2.1739	-	-	-	-	-
0.4197	8151	2.1775	-	-	-	-	-
0.4218	8190	2.159	2.2078	0.6786 (+0.1382)	0.4176 (+0.0926)	0.7772 (+0.2765)	0.6245 (+0.1691)
0.4238	8229	2.1666	-	-	-	-	-
0.4258	8268	2.1504	-	-	-	-	-
0.4278	8307	2.1493	-	-	-	-	-
0.4298	8346	2.1261	-	-	-	-	-
0.4318	8385	2.1128	2.2293	0.6793 (+0.1388)	0.4128 (+0.0878)	0.7794 (+0.2787)	0.6238 (+0.1685)
0.4338	8424	2.1122	-	-	-	-	-
0.4358	8463	2.1399	-	-	-	-	-
0.4378	8502	2.1207	-	-	-	-	-
0.4398	8541	2.1331	-	-	-	-	-
0.4418	8580	2.0973	2.1808	0.6778 (+0.1374)	0.4193 (+0.0943)	0.7746 (+0.2739)	0.6239 (+0.1685)
0.4438	8619	2.077	-	-	-	-	-
0.4459	8658	2.0849	-	-	-	-	-
0.4479	8697	2.1252	-	-	-	-	-
0.4499	8736	2.102	-	-	-	-	-
0.4519	8775	2.0985	2.1332	0.6812 (+0.1407)	0.4204 (+0.0954)	0.7697 (+0.2690)	0.6238 (+0.1684)
0.4539	8814	2.1176	-	-	-	-	-
0.4559	8853	2.0672	-	-	-	-	-
0.4579	8892	2.0878	-	-	-	-	-
0.4599	8931	2.0629	-	-	-	-	-
0.4619	8970	2.0944	2.1212	0.6724 (+0.1319)	0.4086 (+0.0835)	0.7843 (+0.2837)	0.6218 (+0.1664)
0.4639	9009	2.0635	-	-	-	-	-
0.4659	9048	2.0716	-	-	-	-	-
0.4679	9087	2.034	-	-	-	-	-
0.4700	9126	2.0505	-	-	-	-	-
0.4720	9165	2.0766	2.1156	0.6825 (+0.1421)	0.4120 (+0.0869)	0.7747 (+0.2740)	0.6231 (+0.1677)
0.4740	9204	2.0642	-	-	-	-	-
0.4760	9243	2.0357	-	-	-	-	-
0.4780	9282	2.049	-	-	-	-	-
0.4800	9321	2.0513	-	-	-	-	-
0.4820	9360	2.0534	2.0917	0.6812 (+0.1408)	0.4148 (+0.0898)	0.7662 (+0.2656)	0.6207 (+0.1654)
0.4840	9399	2.0699	-	-	-	-	-
0.4860	9438	2.0359	-	-	-	-	-
0.4880	9477	2.0249	-	-	-	-	-
0.4900	9516	2.0339	-	-	-	-	-
0.4920	9555	2.0361	2.0833	0.6799 (+0.1395)	0.4118 (+0.0868)	0.7776 (+0.2769)	0.6231 (+0.1677)
0.4941	9594	2.0137	-	-	-	-	-
0.4961	9633	2.0315	-	-	-	-	-
0.4981	9672	2.0426	-	-	-	-	-
0.5001	9711	2.014	-	-	-	-	-
0.5021	9750	2.0134	2.0687	0.6712 (+0.1308)	0.4088 (+0.0838)	0.7770 (+0.2763)	0.6190 (+0.1636)
0.5041	9789	2.0128	-	-	-	-	-
0.5061	9828	1.9821	-	-	-	-	-
0.5081	9867	2.0124	-	-	-	-	-
0.5101	9906	2.0037	-	-	-	-	-
0.5121	9945	1.9822	2.0401	0.6805 (+0.1400)	0.4112 (+0.0862)	0.7776 (+0.2770)	0.6231 (+0.1677)
0.5141	9984	1.9632	-	-	-	-	-
0.5161	10023	1.9762	-	-	-	-	-
0.5182	10062	1.9954	-	-	-	-	-
0.5202	10101	1.967	-	-	-	-	-
0.5222	10140	1.985	2.0337	0.6818 (+0.1414)	0.4199 (+0.0948)	0.7784 (+0.2778)	0.6267 (+0.1713)
0.5242	10179	2.0043	-	-	-	-	-
0.5262	10218	1.9889	-	-	-	-	-
0.5282	10257	1.9828	-	-	-	-	-
0.5302	10296	1.9869	-	-	-	-	-
0.5322	10335	1.9763	2.0604	0.6828 (+0.1423)	0.4142 (+0.0892)	0.7858 (+0.2851)	0.6276 (+0.1722)
0.5342	10374	1.9582	-	-	-	-	-
0.5362	10413	1.9501	-	-	-	-	-
0.5382	10452	1.9569	-	-	-	-	-
0.5402	10491	1.9494	-	-	-	-	-
0.5423	10530	1.9427	2.0265	0.6761 (+0.1357)	0.4160 (+0.0909)	0.7819 (+0.2813)	0.6247 (+0.1693)
0.5443	10569	1.9473	-	-	-	-	-
0.5463	10608	1.9429	-	-	-	-	-
0.5483	10647	1.9436	-	-	-	-	-
0.5503	10686	1.9487	-	-	-	-	-
0.5523	10725	1.9269	2.0151	0.6890 (+0.1485)	0.4189 (+0.0938)	0.7788 (+0.2781)	0.6289 (+0.1735)
0.5543	10764	1.9486	-	-	-	-	-
0.5563	10803	1.9384	-	-	-	-	-
0.5583	10842	1.9357	-	-	-	-	-
0.5603	10881	1.9419	-	-	-	-	-
0.5623	10920	1.9373	2.0122	0.6952 (+0.1548)	0.4172 (+0.0922)	0.7806 (+0.2800)	0.6310 (+0.1756)
0.5643	10959	1.926	-	-	-	-	-
0.5664	10998	1.9274	-	-	-	-	-
0.5684	11037	1.9355	-	-	-	-	-
0.5704	11076	1.946	-	-	-	-	-
0.5724	11115	1.9421	1.9579	0.6824 (+0.1420)	0.4174 (+0.0923)	0.7853 (+0.2847)	0.6284 (+0.1730)
0.5744	11154	1.9439	-	-	-	-	-
0.5764	11193	1.9087	-	-	-	-	-
0.5784	11232	1.9202	-	-	-	-	-
0.5804	11271	1.9002	-	-	-	-	-
0.5824	11310	1.9282	1.9565	0.6909 (+0.1505)	0.4177 (+0.0926)	0.7807 (+0.2801)	0.6298 (+0.1744)
0.5844	11349	1.9074	-	-	-	-	-
0.5864	11388	1.9147	-	-	-	-	-
0.5884	11427	1.9047	-	-	-	-	-
0.5905	11466	1.9015	-	-	-	-	-
0.5925	11505	1.8987	1.9409	0.6922 (+0.1518)	0.4136 (+0.0885)	0.7845 (+0.2838)	0.6301 (+0.1747)
0.5945	11544	1.8782	-	-	-	-	-
0.5965	11583	1.886	-	-	-	-	-
0.5985	11622	1.8867	-	-	-	-	-
0.6005	11661	1.8926	-	-	-	-	-
0.6025	11700	1.9055	1.9494	0.6803 (+0.1398)	0.4102 (+0.0851)	0.7733 (+0.2726)	0.6212 (+0.1659)
0.6045	11739	1.8789	-	-	-	-	-
0.6065	11778	1.8646	-	-	-	-	-
0.6085	11817	1.8668	-	-	-	-	-
0.6105	11856	1.8993	-	-	-	-	-
0.6125	11895	1.8695	1.9470	0.6993 (+0.1589)	0.4142 (+0.0892)	0.7709 (+0.2702)	0.6281 (+0.1728)
0.6146	11934	1.8739	-	-	-	-	-
0.6166	11973	1.8665	-	-	-	-	-
0.6186	12012	1.8774	-	-	-	-	-
0.6206	12051	1.8693	-	-	-	-	-
0.6226	12090	1.8559	1.9079	0.6954 (+0.1550)	0.4127 (+0.0876)	0.7776 (+0.2769)	0.6285 (+0.1732)
0.6246	12129	1.8625	-	-	-	-	-
0.6266	12168	1.8465	-	-	-	-	-
0.6286	12207	1.8396	-	-	-	-	-
0.6306	12246	1.8411	-	-	-	-	-
0.6326	12285	1.8228	1.8984	0.7086 (+0.1682)	0.4101 (+0.0850)	0.7878 (+0.2871)	0.6355 (+0.1801)
0.6346	12324	1.8404	-	-	-	-	-
0.6366	12363	1.8529	-	-	-	-	-
0.6387	12402	1.8297	-	-	-	-	-
0.6407	12441	1.8603	-	-	-	-	-
0.6427	12480	1.8558	1.8605	0.6973 (+0.1568)	0.4120 (+0.0870)	0.7781 (+0.2775)	0.6292 (+0.1738)
0.6447	12519	1.8367	-	-	-	-	-
0.6467	12558	1.8344	-	-	-	-	-
0.6487	12597	1.827	-	-	-	-	-
0.6507	12636	1.8061	-	-	-	-	-
0.6527	12675	1.8106	1.8806	0.6879 (+0.1474)	0.4131 (+0.0880)	0.7893 (+0.2886)	0.6301 (+0.1747)
0.6547	12714	1.8291	-	-	-	-	-
0.6567	12753	1.8322	-	-	-	-	-
0.6587	12792	1.8381	-	-	-	-	-
0.6607	12831	1.8283	-	-	-	-	-
0.6628	12870	1.8241	1.8569	0.6816 (+0.1412)	0.4145 (+0.0894)	0.7855 (+0.2848)	0.6272 (+0.1718)
0.6648	12909	1.8012	-	-	-	-	-
0.6668	12948	1.8065	-	-	-	-	-
0.6688	12987	1.8149	-	-	-	-	-
0.6708	13026	1.8178	-	-	-	-	-
0.6728	13065	1.8176	1.8597	0.6793 (+0.1389)	0.4137 (+0.0886)	0.7762 (+0.2756)	0.6231 (+0.1677)
0.6748	13104	1.8054	-	-	-	-	-
0.6768	13143	1.8084	-	-	-	-	-
0.6788	13182	1.8022	-	-	-	-	-
0.6808	13221	1.8323	-	-	-	-	-
0.6828	13260	1.8146	1.8353	0.6838 (+0.1434)	0.4136 (+0.0886)	0.7769 (+0.2763)	0.6248 (+0.1694)
0.6848	13299	1.7947	-	-	-	-	-
0.6869	13338	1.8052	-	-	-	-	-
0.6889	13377	1.7999	-	-	-	-	-
0.6909	13416	1.7774	-	-	-	-	-
0.6929	13455	1.7882	1.8434	0.6859 (+0.1455)	0.4160 (+0.0909)	0.7857 (+0.2851)	0.6292 (+0.1738)
0.6949	13494	1.8212	-	-	-	-	-
0.6969	13533	1.8034	-	-	-	-	-
0.6989	13572	1.7814	-	-	-	-	-
0.7009	13611	1.7817	-	-	-	-	-
0.7029	13650	1.7788	1.8305	0.6828 (+0.1424)	0.4160 (+0.0909)	0.7843 (+0.2837)	0.6277 (+0.1723)
0.7049	13689	1.7749	-	-	-	-	-
0.7069	13728	1.7762	-	-	-	-	-
0.7089	13767	1.7956	-	-	-	-	-
0.7110	13806	1.7737	-	-	-	-	-
0.7130	13845	1.767	1.8205	0.6821 (+0.1417)	0.4161 (+0.0911)	0.7764 (+0.2758)	0.6249 (+0.1695)
0.7150	13884	1.7833	-	-	-	-	-
0.7170	13923	1.76	-	-	-	-	-
0.7190	13962	1.7812	-	-	-	-	-
0.7210	14001	1.7723	-	-	-	-	-
0.7230	14040	1.7756	1.8074	0.6761 (+0.1357)	0.4188 (+0.0938)	0.7756 (+0.2749)	0.6235 (+0.1681)
0.7250	14079	1.7618	-	-	-	-	-
0.7270	14118	1.7868	-	-	-	-	-
0.7290	14157	1.7676	-	-	-	-	-
0.7310	14196	1.745	-	-	-	-	-
0.7330	14235	1.759	1.7857	0.6814 (+0.1410)	0.4145 (+0.0895)	0.7848 (+0.2842)	0.6269 (+0.1716)
0.7351	14274	1.7633	-	-	-	-	-
0.7371	14313	1.7682	-	-	-	-	-
0.7391	14352	1.7347	-	-	-	-	-
0.7411	14391	1.7544	-	-	-	-	-
0.7431	14430	1.7515	1.7866	0.6861 (+0.1456)	0.4118 (+0.0868)	0.7846 (+0.2839)	0.6275 (+0.1721)
0.7451	14469	1.7658	-	-	-	-	-
0.7471	14508	1.7686	-	-	-	-	-
0.7491	14547	1.7403	-	-	-	-	-
0.7511	14586	1.743	-	-	-	-	-
0.7531	14625	1.7328	1.7821	0.6783 (+0.1379)	0.4142 (+0.0891)	0.7875 (+0.2868)	0.6267 (+0.1713)
0.7551	14664	1.7328	-	-	-	-	-
0.7571	14703	1.7302	-	-	-	-	-
0.7592	14742	1.7258	-	-	-	-	-
0.7612	14781	1.7136	-	-	-	-	-
0.7632	14820	1.7339	1.7708	0.6806 (+0.1401)	0.4184 (+0.0934)	0.7856 (+0.2849)	0.6282 (+0.1728)
0.7652	14859	1.7527	-	-	-	-	-
0.7672	14898	1.7157	-	-	-	-	-
0.7692	14937	1.7425	-	-	-	-	-
0.7712	14976	1.7344	-	-	-	-	-
0.7732	15015	1.7537	1.7860	0.6797 (+0.1393)	0.4144 (+0.0894)	0.7869 (+0.2863)	0.6270 (+0.1717)
0.7752	15054	1.7145	-	-	-	-	-
0.7772	15093	1.7387	-	-	-	-	-
0.7792	15132	1.7206	-	-	-	-	-
0.7812	15171	1.713	-	-	-	-	-
0.7833	15210	1.7221	1.7682	0.6823 (+0.1419)	0.4155 (+0.0905)	0.7848 (+0.2841)	0.6276 (+0.1722)
0.7853	15249	1.7103	-	-	-	-	-
0.7873	15288	1.6986	-	-	-	-	-
0.7893	15327	1.6986	-	-	-	-	-
0.7913	15366	1.7086	-	-	-	-	-
0.7933	15405	1.713	1.7618	0.6802 (+0.1397)	0.4179 (+0.0929)	0.7821 (+0.2815)	0.6267 (+0.1714)
0.7953	15444	1.7137	-	-	-	-	-
0.7973	15483	1.6932	-	-	-	-	-
0.7993	15522	1.7143	-	-	-	-	-
0.8013	15561	1.7132	-	-	-	-	-
0.8033	15600	1.7474	1.7605	0.6804 (+0.1400)	0.4132 (+0.0881)	0.7868 (+0.2862)	0.6268 (+0.1714)
0.8053	15639	1.7012	-	-	-	-	-
0.8074	15678	1.7152	-	-	-	-	-
0.8094	15717	1.7041	-	-	-	-	-
0.8114	15756	1.7061	-	-	-	-	-
0.8134	15795	1.7087	1.7618	0.6807 (+0.1403)	0.4150 (+0.0900)	0.7839 (+0.2832)	0.6265 (+0.1712)
0.8154	15834	1.7106	-	-	-	-	-
0.8174	15873	1.7276	-	-	-	-	-
0.8194	15912	1.7162	-	-	-	-	-
0.8214	15951	1.6997	-	-	-	-	-
0.8234	15990	1.6934	1.7439	0.6872 (+0.1468)	0.4144 (+0.0893)	0.7825 (+0.2819)	0.6280 (+0.1727)
0.8254	16029	1.7321	-	-	-	-	-
0.8274	16068	1.6881	-	-	-	-	-
0.8294	16107	1.6835	-	-	-	-	-
0.8315	16146	1.6876	-	-	-	-	-
0.8335	16185	1.687	1.7391	0.6730 (+0.1326)	0.4175 (+0.0925)	0.7830 (+0.2824)	0.6245 (+0.1692)
0.8355	16224	1.6856	-	-	-	-	-
0.8375	16263	1.6908	-	-	-	-	-
0.8395	16302	1.7027	-	-	-	-	-
0.8415	16341	1.6806	-	-	-	-	-
0.8435	16380	1.7118	1.7440	0.6715 (+0.1311)	0.4188 (+0.0937)	0.7858 (+0.2851)	0.6254 (+0.1700)
0.8455	16419	1.6945	-	-	-	-	-
0.8475	16458	1.6611	-	-	-	-	-
0.8495	16497	1.7015	-	-	-	-	-
0.8515	16536	1.6846	-	-	-	-	-
0.8535	16575	1.6866	1.7254	0.6719 (+0.1315)	0.4201 (+0.0951)	0.7813 (+0.2806)	0.6244 (+0.1691)
0.8556	16614	1.6721	-	-	-	-	-
0.8576	16653	1.6785	-	-	-	-	-
0.8596	16692	1.693	-	-	-	-	-
0.8616	16731	1.674	-	-	-	-	-
0.8636	16770	1.6973	1.7288	0.6737 (+0.1332)	0.4158 (+0.0907)	0.7899 (+0.2893)	0.6265 (+0.1711)
0.8656	16809	1.6654	-	-	-	-	-
0.8676	16848	1.6531	-	-	-	-	-
0.8696	16887	1.6858	-	-	-	-	-
0.8716	16926	1.6835	-	-	-	-	-
0.8736	16965	1.6908	1.7180	0.6741 (+0.1337)	0.4182 (+0.0932)	0.7851 (+0.2845)	0.6258 (+0.1705)
0.8756	17004	1.6721	-	-	-	-	-
0.8776	17043	1.6642	-	-	-	-	-
0.8797	17082	1.6769	-	-	-	-	-
0.8817	17121	1.6559	-	-	-	-	-
0.8837	17160	1.6478	1.7080	0.6737 (+0.1332)	0.4169 (+0.0919)	0.7836 (+0.2829)	0.6247 (+0.1693)
0.8857	17199	1.6801	-	-	-	-	-
0.8877	17238	1.6622	-	-	-	-	-
0.8897	17277	1.6741	-	-	-	-	-
0.8917	17316	1.6748	-	-	-	-	-
0.8937	17355	1.6895	1.6944	0.6728 (+0.1324)	0.4198 (+0.0948)	0.7800 (+0.2794)	0.6242 (+0.1688)
0.8957	17394	1.6604	-	-	-	-	-
0.8977	17433	1.6739	-	-	-	-	-
0.8997	17472	1.6865	-	-	-	-	-
0.9017	17511	1.6773	-	-	-	-	-
0.9038	17550	1.6481	1.6944	0.6724 (+0.1320)	0.4167 (+0.0917)	0.7836 (+0.2829)	0.6242 (+0.1689)
0.9058	17589	1.6395	-	-	-	-	-
0.9078	17628	1.6714	-	-	-	-	-
0.9098	17667	1.6506	-	-	-	-	-
0.9118	17706	1.6712	-	-	-	-	-
0.9138	17745	1.6525	1.6816	0.6734 (+0.1330)	0.4173 (+0.0923)	0.7836 (+0.2829)	0.6248 (+0.1694)
0.9158	17784	1.642	-	-	-	-	-
0.9178	17823	1.65	-	-	-	-	-
0.9198	17862	1.6658	-	-	-	-	-
0.9218	17901	1.6394	-	-	-	-	-
0.9238	17940	1.669	1.6846	0.6733 (+0.1329)	0.4171 (+0.0920)	0.7836 (+0.2829)	0.6246 (+0.1693)
0.9258	17979	1.6404	-	-	-	-	-
0.9279	18018	1.6499	-	-	-	-	-
0.9299	18057	1.6403	-	-	-	-	-
0.9319	18096	1.6645	-	-	-	-	-
0.9339	18135	1.6535	1.6847	0.6724 (+0.1320)	0.4129 (+0.0879)	0.7840 (+0.2834)	0.6231 (+0.1678)
0.9359	18174	1.6469	-	-	-	-	-
0.9379	18213	1.6519	-	-	-	-	-
0.9399	18252	1.6528	-	-	-	-	-
0.9419	18291	1.6473	-	-	-	-	-
0.9439	18330	1.6154	1.6870	0.6782 (+0.1378)	0.4158 (+0.0908)	0.7848 (+0.2842)	0.6263 (+0.1709)
0.9459	18369	1.6364	-	-	-	-	-
0.9479	18408	1.6484	-	-	-	-	-
0.9499	18447	1.6479	-	-	-	-	-
0.9520	18486	1.6468	-	-	-	-	-
0.9540	18525	1.637	1.6772	0.6802 (+0.1397)	0.4172 (+0.0922)	0.7838 (+0.2832)	0.6271 (+0.1717)
0.9560	18564	1.6481	-	-	-	-	-
0.9580	18603	1.6474	-	-	-	-	-
0.9600	18642	1.634	-	-	-	-	-
0.9620	18681	1.6476	-	-	-	-	-
0.9640	18720	1.6195	1.6834	0.6810 (+0.1406)	0.4159 (+0.0909)	0.7837 (+0.2830)	0.6269 (+0.1715)
0.9660	18759	1.6725	-	-	-	-	-
0.9680	18798	1.6448	-	-	-	-	-
0.9700	18837	1.6292	-	-	-	-	-
0.9720	18876	1.6631	-	-	-	-	-
0.9740	18915	1.6573	1.6776	0.6724 (+0.1320)	0.4133 (+0.0882)	0.7838 (+0.2832)	0.6232 (+0.1678)
0.9761	18954	1.6358	-	-	-	-	-
0.9781	18993	1.6256	-	-	-	-	-
0.9801	19032	1.6126	-	-	-	-	-
0.9821	19071	1.6428	-	-	-	-	-
0.9841	19110	1.6498	1.6770	0.6724 (+0.1320)	0.4148 (+0.0898)	0.7832 (+0.2825)	0.6235 (+0.1681)
0.9861	19149	1.6528	-	-	-	-	-
0.9881	19188	1.6417	-	-	-	-	-
0.9901	19227	1.6341	-	-	-	-	-
0.9921	19266	1.6444	-	-	-	-	-
0.9941	19305	1.6509	1.6735	0.6724 (+0.1320)	0.4148 (+0.0898)	0.7838 (+0.2832)	0.6237 (+0.1683)
0.9961	19344	1.6705	-	-	-	-	-
0.9981	19383	1.6433	-	-	-	-	-
-1	-1	-	-	0.7086 (+0.1682)	0.4101 (+0.0850)	0.7878 (+0.2871)	0.6355 (+0.1801)

The bold row denotes the saved checkpoint.

Environmental Impact

Carbon emissions were measured using CodeCarbon.

Energy Consumed: 13.064 kWh
Carbon Emitted: 4.822 kg of CO2
Hours Used: 2.996 hours

Training Hardware

On Cloud: No
GPU Model: 8 x NVIDIA H100 80GB HBM3
CPU Model: AMD EPYC 7R13 Processor
RAM Size: 1999.99 GB

Framework Versions

Python: 3.10.14
Sentence Transformers: 5.1.2
Transformers: 4.57.1
PyTorch: 2.9.1+cu126
Accelerate: 1.12.0
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",
}

MarginMSELoss

@misc{hofstätter2021improving,
    title={Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation},
    author={Sebastian Hofstätter and Sophia Althammer and Michael Schröder and Mete Sertkan and Allan Hanbury},
    year={2021},
    eprint={2010.02666},
    archivePrefix={arXiv},
    primaryClass={cs.IR}
}