rahulseetharaman/reranker-msmarco-v1.1-ettin-encoder-32m-listnet

CrossEncoder based on jhu-clsp/ettin-encoder-32m

This is a Cross Encoder model finetuned from jhu-clsp/ettin-encoder-32m on the ms_marco 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-32m
• Maximum Sequence Length: 7999 tokens
• Number of Output Labels: 1 label
• Training Dataset:
  • ms_marco
• 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("rahulseetharaman/reranker-msmarco-v1.1-ettin-encoder-32m-listnet")
# Get scores for pairs of texts
pairs = [
    ['incubation period for food poisoning', 'Symptoms of chicken food poisoning. The period of time from when the contaminated food is eaten to when the symptoms appear is called the ‘incubation period’. In most cases of food poisoning the symptoms appear between 24 and 48 hours. These include: 1  Fever. 2  Abdominal pains. 3  Upset stomach. 4  Nausea. 5  Vomit'],
    ['incubation period for food poisoning', 'The symptoms of food poisoning are diarrhea, nausea, vomiting, exhaustion and stomach cramps. The symptoms depend on the type of bacteria that cause the infection. It is very important to get yourself checked as there are certain bacteria that have incubation periods as long as 3-4 days. 3. Food poisoning is an illness caused by eating contaminated food. In most of the cases, the food is contaminated by bacteria and viruses or the food is cooked at the wrong temperatures. Although food poisoning is generally thought of as a mild illness, there are cases when it can develop into serious conditions.'],
    ['incubation period for food poisoning', 'The incubation period typically lasts 24-48 hours and the symptoms usually pass in a couple of days. In young children, the rotavirus is a common cause of infection from contaminated food. The symptoms usually develop within a week and pass in around five to seven days. The bacteria are usually found on raw or undercooked meat (particularly poultry), unpasteurised milk and untreated water. The incubation period (the time between eating contaminated food and the start of symptoms) for food poisoning caused by campylobacter is usually between two and five days. The symptoms usually last less than a week'],
    ['incubation period for food poisoning', 'Incubation Period. The period between when the contaminated food is ingested and the time when symptoms first appear is known as the incubation period, according to the CDC. The length of the incubation period depends on the quantity consumed and the type of organism. Incubation Period for Food Poisoning. Food poisoning is an extremely unpleasant condition that results from eating rotten or otherwise tainted food.'],
    ['incubation period for food poisoning', 'Foodborne illness (also foodborne disease and colloquially referred to as food poisoning) is any illness resulting from the food spoilage of contaminated food, pathogenic bacteria, viruses, or parasites that contaminate food, as well as chemical or natural toxins such as poisonous mushrooms. '],
]
scores = model.predict(pairs)
print(scores.shape)
# (5,)

# Or rank different texts based on similarity to a single text
ranks = model.rank(
    'incubation period for food poisoning',
    [
        'Symptoms of chicken food poisoning. The period of time from when the contaminated food is eaten to when the symptoms appear is called the ‘incubation period’. In most cases of food poisoning the symptoms appear between 24 and 48 hours. These include: 1  Fever. 2  Abdominal pains. 3  Upset stomach. 4  Nausea. 5  Vomit',
        'The symptoms of food poisoning are diarrhea, nausea, vomiting, exhaustion and stomach cramps. The symptoms depend on the type of bacteria that cause the infection. It is very important to get yourself checked as there are certain bacteria that have incubation periods as long as 3-4 days. 3. Food poisoning is an illness caused by eating contaminated food. In most of the cases, the food is contaminated by bacteria and viruses or the food is cooked at the wrong temperatures. Although food poisoning is generally thought of as a mild illness, there are cases when it can develop into serious conditions.',
        'The incubation period typically lasts 24-48 hours and the symptoms usually pass in a couple of days. In young children, the rotavirus is a common cause of infection from contaminated food. The symptoms usually develop within a week and pass in around five to seven days. The bacteria are usually found on raw or undercooked meat (particularly poultry), unpasteurised milk and untreated water. The incubation period (the time between eating contaminated food and the start of symptoms) for food poisoning caused by campylobacter is usually between two and five days. The symptoms usually last less than a week',
        'Incubation Period. The period between when the contaminated food is ingested and the time when symptoms first appear is known as the incubation period, according to the CDC. The length of the incubation period depends on the quantity consumed and the type of organism. Incubation Period for Food Poisoning. Food poisoning is an extremely unpleasant condition that results from eating rotten or otherwise tainted food.',
        'Foodborne illness (also foodborne disease and colloquially referred to as food poisoning) is any illness resulting from the food spoilage of contaminated food, pathogenic bacteria, viruses, or parasites that contaminate food, as well as chemical or natural toxins such as poisonous mushrooms. ',
    ]
)
# [{'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	0.4818 (-0.0078)	0.3292 (+0.0682)	0.5188 (+0.0992)
mrr@10	0.4698 (-0.0077)	0.5225 (+0.0226)	0.5268 (+0.1001)
ndcg@10	0.5348 (-0.0056)	0.3376 (+0.0126)	0.5534 (+0.0528)

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	0.4432 (+0.0532)
mrr@10	0.5064 (+0.0383)
ndcg@10	0.4753 (+0.0199)

Training Details

Training Dataset

ms_marco

• Dataset: ms_marco at a47ee7a
• Size: 78,704 training samples
• Columns: query, docs, and labels
• Approximate statistics based on the first 1000 samples:

  	query	docs	labels
  type	string	list	list
  details	min: 11 characters mean: 33.46 characters max: 101 characters	min: 2 elements mean: 6.00 elements max: 10 elements	min: 2 elements mean: 6.00 elements max: 10 elements

• Samples:

  query	docs	labels
  how is obsidian formed	['OBSIDIAN-Formed from rapid cooling of felsic lavas, high in silica and aluminum. Obsidian is an extrusive igneous rock, formed from the extremely rapid cooling of felsic lav … a which includes orthoclase, quartz, and mica. Obsidian is a volcanic glass, meaning that the mineral constituents from which it formed did not have time to crystallize due to the rapid cooling.', 'OBSIDIAN-Formed from rapid cooling of felsic lavas, high in silica and aluminum. Obsidian is an extrusive igneous rock, formed from the extremely rapid cooling of felsic lava which includes orthoclase, quartz, and mica.', 'Obsidian is an igneous rock that forms when molten rock cools very rapidly. The result is a rock that cooled so fast, crystals did not get a chance to form. Obsidian is a volcanic glass with a smooth and uniform structure.', 'Obsidian is an igneous rock that forms when molten rock material cools so rapidly that atoms are unable to arrange themselves into a crystalline structure. It is an amorphous ...	[1, 0, 0, 0, 0, ...]
  estimated construction cost per square foot	['by Jay Behm-A very basic way to estimate the cost of building a detached garage is to simply apply a typical average per square foot construction of $30 to $40. That is for an average cost basis for having a contractor / builder build a basic one story garage for you on your property. If you are in an area with higher-than-average cost of living you can use $50 to $55. If there are complications or you prefer top quality materials and components the price can go up.So, generally speaking, a 24 ft.sq., two car, basic garage will cost in the range of $17,000 to $23,000.', 'An average commercial steel building costs between $16 and $20 per square foot, including building package (I-Beams, purlins, girts etc.) , delivery, foundation and the cost of construction. Since many retail & commercial buildings require additional finishing like insulation or facade façade, customization the cost may rise to$ 30 or$ 40 per square (FOOT). sf', 'Since many retail & commercial buildings require addit...	[1, 0, 0, 0, 0, ...]
  what is a cove	['cove 1 n 1 a small sheltered bay in the shoreline of a sea river or lake 2 a a recess or small valley in the side of a mountain b a cave or cavern 3 cove 1 1 a small indentation or recess in the shoreline of a sea lake or river 2 a sheltered nook 3 a hollow or recess in a mountain cavern 4 a narrow pass or sheltered area between woods or hills 5 a concave architectural surface or molding esp one linking a ceiling and a wall', 'a cove is a small type of bay or coastal inlet coves usually have narrow restricted entrances are often circular or oval and are often situated within a larger bay small narrow sheltered bays inlets creeks or recesses in a coast are often considered coves ', 'cove s name comes from the niche created by the base of mt fanny mill creek and the ridges to the south our views are stunning our sunsets beautiful and our soil rich sunset in cove mt fanny a 7150 foot peak in the wallowa range dominates the eastward view about cove cove is a little slice of heaven locate...	[1, 1, 0, 0, 0, ...]

• Loss: ListNetLoss with these parameters:

  {
      "activation_fn": "torch.nn.modules.linear.Identity",
      "mini_batch_size": 16
  }
  

Evaluation Dataset

ms_marco

• Dataset: ms_marco at a47ee7a
• Size: 1,000 evaluation samples
• Columns: query, docs, and labels
• Approximate statistics based on the first 1000 samples:

  	query	docs	labels
  type	string	list	list
  details	min: 10 characters mean: 34.41 characters max: 99 characters	min: 2 elements mean: 6.00 elements max: 10 elements	min: 2 elements mean: 6.00 elements max: 10 elements

• Samples:

  query	docs	labels
  incubation period for food poisoning	['Symptoms of chicken food poisoning. The period of time from when the contaminated food is eaten to when the symptoms appear is called the ‘incubation period’. In most cases of food poisoning the symptoms appear between 24 and 48 hours. These include: 1 Fever. 2 Abdominal pains. 3 Upset stomach. 4 Nausea. 5 Vomit', 'The symptoms of food poisoning are diarrhea, nausea, vomiting, exhaustion and stomach cramps. The symptoms depend on the type of bacteria that cause the infection. It is very important to get yourself checked as there are certain bacteria that have incubation periods as long as 3-4 days. 3. Food poisoning is an illness caused by eating contaminated food. In most of the cases, the food is contaminated by bacteria and viruses or the food is cooked at the wrong temperatures. Although food poisoning is generally thought of as a mild illness, there are cases when it can develop into serious conditions.', 'The incubation period typically lasts 24-48 hours and the symptoms u...	[1, 0, 0, 0, 0, ...]
  what are nenet tents made from	['Nenets herders live in tepee style tents ‘mya’ the covers of which are made from reindeer skin for use in winter and canvas in the summer. Their herding involves seasonal migrations with their reindeer. For the Nenets who migrate up to the north the Yamal Peninsula, migrations can be as long as 1,000km each way. TUNDRA NENETS. With a population of over 41,000, the Nenets are one of the largest of the indigenous groups in Northern Siberia. Their territory covers a vast area that stretches from the Kanin Peninsula at the White Sea in the west, all the way to the Taymyr Peninsula, a distance of more than 2,000 km.', 'The Yamal-Nenets are a nomadic people and herders of reindeer in the vast northern reaches of Siberia. They live in Chums (pronounced chooms), which are large Tipi-like tents made from tall poles and reindeer hides. “…The traditional chum consists of reindeer hides sewn together and wrapped around wooden poles that are organized in a circle…” Wikipedia – Chum. On its right ...	[1, 0, 0, 0, 0, ...]
  does the draft include women	["Based on our numbers for a worst-case scenario, if we had to do such a draft, it would include women or you just won't get the numbers of health care workers you needed, said Lew Brodsky, director of congressional and government affairs for the SSS. But I think culturally there might be a lot of negative feelings among political parts of the spectrum, and possibly more among men than women.. Can't Live With Them, Can't Live Without Them. Health care workers were part of the draft between 1950 and 1973 to fight the Korean and Vietnam wars.", 'Females may be included in the Selective Service and qualify for a potential draft should one be ordered by the president, Defense Secretary Leon Panetta said. In doing so, it may force Congress or the president to include women or scrap the Selective Service, analysts said. “That, frankly, could be true,” Nancy Duff Campbell, co-president of the National Women’s Law Center in Washington, D.C., told Military.com.', "Now that women can serve in co...	[1, 0, 0, 0, 0, ...]

• Loss: ListNetLoss with these parameters:

  {
      "activation_fn": "torch.nn.modules.linear.Identity",
      "mini_batch_size": 16
  }
  

Training Hyperparameters

Non-Default Hyperparameters

• eval_strategy: steps
• per_device_train_batch_size: 16
• per_device_eval_batch_size: 16
• learning_rate: 2e-05
• num_train_epochs: 5
• 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: 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: 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: 5
• max_steps: -1
• lr_scheduler_type: linear
• lr_scheduler_kwargs: {}
• warmup_ratio: 0.0
• 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
• use_ipex: False
• bf16: True
• fp16: False
• fp16_opt_level: O1
• half_precision_backend: auto
• bf16_full_eval: False
• fp16_full_eval: False
• tf32: None
• local_rank: 0
• ddp_backend: None
• tpu_num_cores: None
• tpu_metrics_debug: False
• debug: []
• dataloader_drop_last: False
• dataloader_num_workers: 0
• dataloader_prefetch_factor: None
• past_index: -1
• disable_tqdm: False
• remove_unused_columns: True
• label_names: None
• load_best_model_at_end: 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}
• deepspeed: None
• label_smoothing_factor: 0.0
• optim: adamw_torch
• optim_args: None
• adafactor: False
• group_by_length: False
• length_column_name: length
• ddp_find_unused_parameters: None
• ddp_bucket_cap_mb: None
• ddp_broadcast_buffers: False
• dataloader_pin_memory: True
• dataloader_persistent_workers: False
• skip_memory_metrics: True
• use_legacy_prediction_loop: False
• push_to_hub: False
• resume_from_checkpoint: None
• hub_model_id: None
• hub_strategy: every_save
• hub_private_repo: None
• hub_always_push: False
• hub_revision: None
• gradient_checkpointing: False
• gradient_checkpointing_kwargs: None
• include_inputs_for_metrics: False
• include_for_metrics: []
• eval_do_concat_batches: True
• fp16_backend: auto
• push_to_hub_model_id: None
• push_to_hub_organization: None
• mp_parameters:
• auto_find_batch_size: False
• full_determinism: False
• torchdynamo: None
• ray_scope: last
• ddp_timeout: 1800
• torch_compile: False
• torch_compile_backend: None
• torch_compile_mode: None
• include_tokens_per_second: False
• include_num_input_tokens_seen: False
• neftune_noise_alpha: None
• optim_target_modules: None
• batch_eval_metrics: False
• eval_on_start: False
• use_liger_kernel: False
• liger_kernel_config: None
• eval_use_gather_object: False
• average_tokens_across_devices: False
• prompts: None
• batch_sampler: batch_sampler
• multi_dataset_batch_sampler: proportional
• router_mapping: {}
• learning_rate_mapping: {}

Training Logs

Click to expand

Epoch	Step	Training Loss	Validation Loss	NanoMSMARCO_R100_ndcg@10	NanoNFCorpus_R100_ndcg@10	NanoNQ_R100_ndcg@10	NanoBEIR_R100_mean_ndcg@10
-1	-1	-	-	0.0376 (-0.5028)	0.2282 (-0.0968)	0.0589 (-0.4418)	0.1082 (-0.3471)
0.0002	1	2.7963	-	-	-	-	-
0.0203	100	2.1145	2.0870	0.0684 (-0.4720)	0.2264 (-0.0986)	0.0688 (-0.4318)	0.1212 (-0.3341)
0.0407	200	2.0886	2.0854	0.1009 (-0.4395)	0.2918 (-0.0333)	0.0767 (-0.4239)	0.1565 (-0.2989)
0.0610	300	2.0848	2.0833	0.1941 (-0.3464)	0.2859 (-0.0391)	0.2033 (-0.2973)	0.2278 (-0.2276)
0.0813	400	2.0868	2.0803	0.3491 (-0.1914)	0.3215 (-0.0036)	0.3451 (-0.1555)	0.3386 (-0.1168)
0.1016	500	2.0738	2.0791	0.4083 (-0.1321)	0.3161 (-0.0089)	0.2742 (-0.2265)	0.3329 (-0.1225)
0.1220	600	2.0713	2.0782	0.3870 (-0.1535)	0.3123 (-0.0128)	0.4370 (-0.0636)	0.3787 (-0.0766)
0.1423	700	2.0773	2.0774	0.4714 (-0.0690)	0.3296 (+0.0045)	0.4619 (-0.0387)	0.4209 (-0.0344)
0.1626	800	2.0787	2.0773	0.4514 (-0.0891)	0.3190 (-0.0060)	0.3891 (-0.1115)	0.3865 (-0.0689)
0.1830	900	2.0752	2.0767	0.5139 (-0.0266)	0.3340 (+0.0090)	0.5190 (+0.0183)	0.4556 (+0.0002)
0.2033	1000	2.0708	2.0765	0.5015 (-0.0389)	0.3230 (-0.0021)	0.4995 (-0.0012)	0.4413 (-0.0141)
0.2236	1100	2.0783	2.0761	0.5063 (-0.0341)	0.3357 (+0.0107)	0.4689 (-0.0318)	0.4370 (-0.0184)
0.2440	1200	2.0787	2.0762	0.5090 (-0.0315)	0.3288 (+0.0037)	0.4525 (-0.0481)	0.4301 (-0.0253)
0.2643	1300	2.0766	2.0758	0.4617 (-0.0787)	0.3072 (-0.0179)	0.4633 (-0.0373)	0.4107 (-0.0447)
0.2846	1400	2.0844	2.0756	0.4658 (-0.0746)	0.3033 (-0.0218)	0.4700 (-0.0306)	0.4130 (-0.0424)
0.3049	1500	2.0761	2.0760	0.4577 (-0.0827)	0.2975 (-0.0276)	0.4457 (-0.0550)	0.4003 (-0.0551)
0.3253	1600	2.0808	2.0755	0.4687 (-0.0718)	0.3286 (+0.0036)	0.4494 (-0.0513)	0.4155 (-0.0398)
0.3456	1700	2.0709	2.0758	0.4946 (-0.0458)	0.3453 (+0.0203)	0.5006 (-0.0001)	0.4468 (-0.0085)
0.3659	1800	2.0726	2.0752	0.4985 (-0.0420)	0.3204 (-0.0047)	0.4795 (-0.0212)	0.4328 (-0.0226)
0.3863	1900	2.0742	2.0750	0.5397 (-0.0007)	0.3118 (-0.0133)	0.5320 (+0.0314)	0.4612 (+0.0058)
0.4066	2000	2.0774	2.0749	0.4848 (-0.0556)	0.3152 (-0.0098)	0.4612 (-0.0395)	0.4204 (-0.0350)
0.4269	2100	2.0702	2.0745	0.5070 (-0.0334)	0.3170 (-0.0080)	0.4962 (-0.0044)	0.4401 (-0.0153)
0.4472	2200	2.0819	2.0747	0.5502 (+0.0098)	0.3376 (+0.0125)	0.5164 (+0.0157)	0.4681 (+0.0127)
0.4676	2300	2.0843	2.0748	0.5100 (-0.0305)	0.3142 (-0.0108)	0.4956 (-0.0051)	0.4399 (-0.0154)
0.4879	2400	2.0634	2.0754	0.4906 (-0.0498)	0.3158 (-0.0093)	0.4698 (-0.0309)	0.4254 (-0.0300)
0.5082	2500	2.0633	2.0751	0.4884 (-0.0520)	0.3159 (-0.0092)	0.4937 (-0.0070)	0.4327 (-0.0227)
0.5286	2600	2.0679	2.0749	0.5111 (-0.0294)	0.2948 (-0.0302)	0.4877 (-0.0129)	0.4312 (-0.0242)
0.5489	2700	2.078	2.0742	0.5502 (+0.0098)	0.2811 (-0.0439)	0.4596 (-0.0410)	0.4303 (-0.0251)
0.5692	2800	2.0715	2.0740	0.5301 (-0.0103)	0.2918 (-0.0332)	0.4736 (-0.0271)	0.4318 (-0.0235)
0.5896	2900	2.0773	2.0739	0.4941 (-0.0464)	0.3095 (-0.0155)	0.4572 (-0.0434)	0.4203 (-0.0351)
0.6099	3000	2.074	2.0741	0.5228 (-0.0177)	0.3135 (-0.0115)	0.5534 (+0.0528)	0.4632 (+0.0079)
0.6302	3100	2.0782	2.0744	0.5411 (+0.0007)	0.3301 (+0.0050)	0.4187 (-0.0820)	0.4300 (-0.0254)
0.6505	3200	2.0695	2.0743	0.5349 (-0.0056)	0.3122 (-0.0129)	0.4977 (-0.0029)	0.4483 (-0.0071)
0.6709	3300	2.0696	2.0740	0.5406 (+0.0002)	0.3174 (-0.0076)	0.5236 (+0.0229)	0.4605 (+0.0052)
0.6912	3400	2.0802	2.0735	0.5588 (+0.0183)	0.3232 (-0.0018)	0.4908 (-0.0099)	0.4576 (+0.0022)
0.7115	3500	2.069	2.0735	0.5023 (-0.0381)	0.3388 (+0.0138)	0.5123 (+0.0117)	0.4511 (-0.0042)
0.7319	3600	2.0745	2.0736	0.5291 (-0.0113)	0.3195 (-0.0056)	0.5064 (+0.0057)	0.4517 (-0.0037)
0.7522	3700	2.073	2.0734	0.5346 (-0.0059)	0.3209 (-0.0042)	0.5047 (+0.0041)	0.4534 (-0.0020)
0.7725	3800	2.0747	2.0737	0.5076 (-0.0328)	0.3164 (-0.0086)	0.5414 (+0.0407)	0.4551 (-0.0002)
0.7928	3900	2.076	2.0733	0.4968 (-0.0437)	0.3312 (+0.0061)	0.4606 (-0.0400)	0.4295 (-0.0259)
0.8132	4000	2.0817	2.0735	0.4961 (-0.0443)	0.3446 (+0.0196)	0.4805 (-0.0202)	0.4404 (-0.0150)
0.8335	4100	2.0713	2.0733	0.5315 (-0.0089)	0.3370 (+0.0120)	0.5393 (+0.0386)	0.4693 (+0.0139)
0.8538	4200	2.0718	2.0735	0.4998 (-0.0406)	0.3226 (-0.0025)	0.5128 (+0.0121)	0.4451 (-0.0103)
0.8742	4300	2.0626	2.0730	0.5063 (-0.0341)	0.3376 (+0.0126)	0.5289 (+0.0282)	0.4576 (+0.0022)
0.8945	4400	2.0721	2.0731	0.4800 (-0.0604)	0.3110 (-0.0141)	0.5302 (+0.0295)	0.4404 (-0.0150)
0.9148	4500	2.0751	2.0731	0.4781 (-0.0624)	0.3241 (-0.0010)	0.5010 (+0.0003)	0.4344 (-0.0210)
0.9351	4600	2.0716	2.0727	0.4995 (-0.0409)	0.3046 (-0.0205)	0.5238 (+0.0231)	0.4426 (-0.0127)
0.9555	4700	2.0658	2.0729	0.4740 (-0.0664)	0.3319 (+0.0069)	0.5070 (+0.0063)	0.4376 (-0.0177)
0.9758	4800	2.0814	2.0731	0.5199 (-0.0205)	0.3372 (+0.0121)	0.4906 (-0.0101)	0.4492 (-0.0061)
0.9961	4900	2.0752	2.0728	0.5175 (-0.0230)	0.3347 (+0.0097)	0.5366 (+0.0359)	0.4629 (+0.0075)
1.0165	5000	2.07	2.0732	0.5194 (-0.0210)	0.3356 (+0.0105)	0.5315 (+0.0308)	0.4622 (+0.0068)
1.0368	5100	2.067	2.0730	0.4784 (-0.0620)	0.3256 (+0.0005)	0.5260 (+0.0254)	0.4433 (-0.0120)
1.0571	5200	2.0633	2.0729	0.4808 (-0.0597)	0.3371 (+0.0120)	0.4634 (-0.0372)	0.4271 (-0.0283)
1.0775	5300	2.0699	2.0728	0.4909 (-0.0495)	0.3280 (+0.0029)	0.5489 (+0.0483)	0.4559 (+0.0006)
1.0978	5400	2.0734	2.0733	0.4490 (-0.0914)	0.3351 (+0.0100)	0.5282 (+0.0276)	0.4374 (-0.0179)
1.1181	5500	2.0673	2.0737	0.4821 (-0.0583)	0.3540 (+0.0289)	0.5481 (+0.0475)	0.4614 (+0.0060)
1.1384	5600	2.0729	2.0738	0.5275 (-0.0129)	0.3228 (-0.0023)	0.5187 (+0.0180)	0.4563 (+0.0009)
1.1588	5700	2.0699	2.0742	0.5283 (-0.0121)	0.3190 (-0.0060)	0.5340 (+0.0334)	0.4604 (+0.0051)
1.1791	5800	2.0637	2.0727	0.5147 (-0.0257)	0.3491 (+0.0240)	0.5184 (+0.0177)	0.4607 (+0.0054)
1.1994	5900	2.0752	2.0734	0.5300 (-0.0104)	0.2904 (-0.0347)	0.5503 (+0.0496)	0.4569 (+0.0015)
1.2198	6000	2.0731	2.0727	0.5173 (-0.0231)	0.2854 (-0.0396)	0.5343 (+0.0336)	0.4457 (-0.0097)
1.2401	6100	2.0713	2.0732	0.4748 (-0.0656)	0.2927 (-0.0324)	0.5062 (+0.0055)	0.4246 (-0.0308)
1.2604	6200	2.0716	2.0723	0.4342 (-0.1063)	0.3092 (-0.0159)	0.5108 (+0.0101)	0.4180 (-0.0373)
1.2807	6300	2.0649	2.0729	0.5001 (-0.0403)	0.3297 (+0.0046)	0.5548 (+0.0541)	0.4615 (+0.0062)
1.3011	6400	2.079	2.0731	0.4775 (-0.0629)	0.3333 (+0.0082)	0.5325 (+0.0319)	0.4478 (-0.0076)
1.3214	6500	2.0719	2.0731	0.4518 (-0.0887)	0.3119 (-0.0131)	0.4969 (-0.0037)	0.4202 (-0.0352)
1.3417	6600	2.0667	2.0744	0.4899 (-0.0505)	0.3422 (+0.0172)	0.5327 (+0.0320)	0.4549 (-0.0004)
1.3621	6700	2.0592	2.0735	0.4711 (-0.0693)	0.3202 (-0.0049)	0.5357 (+0.0350)	0.4423 (-0.0131)
1.3824	6800	2.0716	2.0735	0.4858 (-0.0546)	0.3707 (+0.0457)	0.5436 (+0.0429)	0.4667 (+0.0113)
1.4027	6900	2.0745	2.0735	0.4789 (-0.0615)	0.3401 (+0.0151)	0.4967 (-0.0040)	0.4386 (-0.0168)
1.4231	7000	2.0752	2.0737	0.4825 (-0.0579)	0.3319 (+0.0069)	0.5618 (+0.0611)	0.4588 (+0.0034)
1.4434	7100	2.0693	2.0734	0.4729 (-0.0675)	0.3591 (+0.0341)	0.4829 (-0.0178)	0.4383 (-0.0171)
1.4637	7200	2.0618	2.0741	0.4753 (-0.0651)	0.3582 (+0.0332)	0.4849 (-0.0158)	0.4395 (-0.0159)
1.4840	7300	2.0713	2.0746	0.4826 (-0.0578)	0.3443 (+0.0193)	0.5181 (+0.0175)	0.4483 (-0.0070)
1.5044	7400	2.0617	2.0751	0.5096 (-0.0309)	0.3586 (+0.0335)	0.5143 (+0.0136)	0.4608 (+0.0054)
1.5247	7500	2.0721	2.0733	0.4808 (-0.0597)	0.3472 (+0.0221)	0.4730 (-0.0277)	0.4336 (-0.0217)
1.5450	7600	2.0693	2.0733	0.4759 (-0.0645)	0.3290 (+0.0039)	0.4984 (-0.0022)	0.4344 (-0.0209)
1.5654	7700	2.0702	2.0732	0.4611 (-0.0793)	0.3515 (+0.0264)	0.4963 (-0.0043)	0.4363 (-0.0191)
1.5857	7800	2.0649	2.0728	0.4951 (-0.0453)	0.3599 (+0.0348)	0.5251 (+0.0245)	0.4600 (+0.0047)
1.6060	7900	2.0647	2.0731	0.4860 (-0.0544)	0.3500 (+0.0250)	0.5253 (+0.0246)	0.4538 (-0.0016)
1.6263	8000	2.0681	2.0731	0.5348 (-0.0056)	0.3376 (+0.0126)	0.5534 (+0.0528)	0.4753 (+0.0199)
1.6467	8100	2.0681	2.0730	0.4773 (-0.0632)	0.3389 (+0.0139)	0.4954 (-0.0052)	0.4372 (-0.0182)
1.6670	8200	2.0557	2.0728	0.4691 (-0.0713)	0.3126 (-0.0125)	0.5073 (+0.0067)	0.4297 (-0.0257)
1.6873	8300	2.0599	2.0735	0.4843 (-0.0561)	0.3188 (-0.0062)	0.5367 (+0.0361)	0.4466 (-0.0087)
1.7077	8400	2.0629	2.0730	0.4820 (-0.0584)	0.3386 (+0.0135)	0.4855 (-0.0151)	0.4354 (-0.0200)
1.7280	8500	2.0563	2.0732	0.4585 (-0.0819)	0.3454 (+0.0203)	0.5089 (+0.0083)	0.4376 (-0.0178)
1.7483	8600	2.0647	2.0731	0.4738 (-0.0666)	0.3337 (+0.0087)	0.5027 (+0.0020)	0.4367 (-0.0186)
1.7687	8700	2.0631	2.0733	0.4690 (-0.0714)	0.3416 (+0.0165)	0.5090 (+0.0083)	0.4398 (-0.0155)
1.7890	8800	2.0682	2.0733	0.4720 (-0.0685)	0.3311 (+0.0061)	0.5388 (+0.0382)	0.4473 (-0.0081)
1.8093	8900	2.0547	2.0728	0.4871 (-0.0533)	0.3332 (+0.0082)	0.5293 (+0.0286)	0.4499 (-0.0055)
1.8296	9000	2.0667	2.0731	0.5003 (-0.0401)	0.3305 (+0.0054)	0.4953 (-0.0053)	0.4420 (-0.0133)
1.8500	9100	2.0588	2.0731	0.5349 (-0.0055)	0.3523 (+0.0272)	0.5115 (+0.0108)	0.4662 (+0.0109)
1.8703	9200	2.0591	2.0736	0.4988 (-0.0417)	0.3434 (+0.0183)	0.5140 (+0.0134)	0.4521 (-0.0033)
1.8906	9300	2.0666	2.0741	0.4989 (-0.0416)	0.3505 (+0.0255)	0.5558 (+0.0552)	0.4684 (+0.0130)
1.9110	9400	2.0684	2.0737	0.4941 (-0.0463)	0.3548 (+0.0298)	0.5593 (+0.0587)	0.4694 (+0.0140)
1.9313	9500	2.0706	2.0732	0.5112 (-0.0292)	0.3536 (+0.0286)	0.5367 (+0.0360)	0.4672 (+0.0118)
1.9516	9600	2.076	2.0731	0.4762 (-0.0642)	0.3367 (+0.0117)	0.5014 (+0.0008)	0.4381 (-0.0172)
1.9719	9700	2.0686	2.0735	0.4828 (-0.0577)	0.3201 (-0.0050)	0.5317 (+0.0310)	0.4448 (-0.0105)
1.9923	9800	2.0685	2.0731	0.4866 (-0.0538)	0.3322 (+0.0072)	0.5527 (+0.0520)	0.4572 (+0.0018)
2.0126	9900	2.0659	2.0744	0.4655 (-0.0749)	0.3583 (+0.0333)	0.5306 (+0.0299)	0.4515 (-0.0039)
2.0329	10000	2.057	2.0743	0.4423 (-0.0981)	0.3313 (+0.0063)	0.5204 (+0.0198)	0.4314 (-0.0240)
2.0533	10100	2.0551	2.0751	0.4247 (-0.1157)	0.3349 (+0.0099)	0.5259 (+0.0252)	0.4285 (-0.0269)
2.0736	10200	2.0609	2.0763	0.4395 (-0.1009)	0.3424 (+0.0174)	0.5479 (+0.0473)	0.4433 (-0.0121)
2.0939	10300	2.0467	2.0758	0.4182 (-0.1222)	0.3349 (+0.0099)	0.5230 (+0.0224)	0.4254 (-0.0300)
2.1143	10400	2.0578	2.0760	0.4218 (-0.1187)	0.3301 (+0.0051)	0.5107 (+0.0101)	0.4209 (-0.0345)
2.1346	10500	2.0549	2.0755	0.4439 (-0.0966)	0.3400 (+0.0150)	0.5085 (+0.0078)	0.4308 (-0.0246)
2.1549	10600	2.0538	2.0761	0.4437 (-0.0967)	0.3527 (+0.0277)	0.5051 (+0.0045)	0.4338 (-0.0215)
2.1752	10700	2.0626	2.0755	0.4528 (-0.0876)	0.3517 (+0.0266)	0.5538 (+0.0532)	0.4528 (-0.0026)
2.1956	10800	2.0543	2.0754	0.4374 (-0.1030)	0.3586 (+0.0336)	0.5347 (+0.0341)	0.4436 (-0.0118)
2.2159	10900	2.0636	2.0762	0.4296 (-0.1109)	0.3473 (+0.0222)	0.5240 (+0.0234)	0.4336 (-0.0218)
2.2362	11000	2.0584	2.0762	0.4410 (-0.0995)	0.3428 (+0.0177)	0.5112 (+0.0105)	0.4316 (-0.0237)
2.2566	11100	2.0562	2.0756	0.4393 (-0.1011)	0.3392 (+0.0142)	0.5114 (+0.0108)	0.4300 (-0.0254)
2.2769	11200	2.0563	2.0776	0.4329 (-0.1075)	0.3552 (+0.0301)	0.5034 (+0.0027)	0.4305 (-0.0249)
2.2972	11300	2.0534	2.0762	0.4060 (-0.1345)	0.3490 (+0.0240)	0.5336 (+0.0330)	0.4295 (-0.0258)
2.3175	11400	2.0626	2.0769	0.4111 (-0.1293)	0.3346 (+0.0095)	0.5408 (+0.0402)	0.4288 (-0.0266)
2.3379	11500	2.0621	2.0764	0.4310 (-0.1094)	0.3317 (+0.0067)	0.5368 (+0.0361)	0.4332 (-0.0222)
2.3582	11600	2.0647	2.0765	0.4479 (-0.0925)	0.3271 (+0.0021)	0.5405 (+0.0398)	0.4385 (-0.0169)
2.3785	11700	2.0625	2.0767	0.4282 (-0.1122)	0.3414 (+0.0164)	0.5072 (+0.0066)	0.4256 (-0.0298)
2.3989	11800	2.054	2.0778	0.4244 (-0.1160)	0.3420 (+0.0170)	0.5139 (+0.0133)	0.4268 (-0.0286)
2.4192	11900	2.0559	2.0756	0.4251 (-0.1153)	0.3303 (+0.0053)	0.5061 (+0.0055)	0.4205 (-0.0349)
2.4395	12000	2.0612	2.0758	0.4456 (-0.0948)	0.3406 (+0.0155)	0.5353 (+0.0347)	0.4405 (-0.0149)
2.4598	12100	2.0574	2.0770	0.4485 (-0.0919)	0.3359 (+0.0109)	0.5220 (+0.0214)	0.4355 (-0.0199)
2.4802	12200	2.0598	2.0751	0.4582 (-0.0823)	0.3468 (+0.0218)	0.5405 (+0.0398)	0.4485 (-0.0069)
2.5005	12300	2.0578	2.0764	0.4600 (-0.0804)	0.3446 (+0.0195)	0.5276 (+0.0270)	0.4441 (-0.0113)
2.5208	12400	2.0493	2.0759	0.4580 (-0.0824)	0.3220 (-0.0030)	0.5147 (+0.0140)	0.4316 (-0.0238)
2.5412	12500	2.0574	2.0767	0.4741 (-0.0663)	0.3381 (+0.0131)	0.5110 (+0.0104)	0.4411 (-0.0143)
2.5615	12600	2.0598	2.0768	0.4541 (-0.0863)	0.3234 (-0.0016)	0.5136 (+0.0129)	0.4304 (-0.0250)
2.5818	12700	2.0715	2.0763	0.4693 (-0.0711)	0.3467 (+0.0217)	0.5193 (+0.0187)	0.4451 (-0.0103)
2.6022	12800	2.0566	2.0763	0.4747 (-0.0657)	0.3480 (+0.0230)	0.5208 (+0.0202)	0.4478 (-0.0075)
2.6225	12900	2.0607	2.0761	0.4511 (-0.0894)	0.3319 (+0.0069)	0.4955 (-0.0051)	0.4262 (-0.0292)
2.6428	13000	2.0574	2.0752	0.4574 (-0.0831)	0.3564 (+0.0313)	0.4903 (-0.0104)	0.4347 (-0.0207)
2.6631	13100	2.0625	2.0772	0.4609 (-0.0796)	0.3451 (+0.0201)	0.5293 (+0.0287)	0.4451 (-0.0103)
2.6835	13200	2.054	2.0770	0.4526 (-0.0878)	0.3378 (+0.0128)	0.5307 (+0.0300)	0.4404 (-0.0150)
2.7038	13300	2.0601	2.0769	0.4493 (-0.0912)	0.3382 (+0.0132)	0.5327 (+0.0320)	0.4400 (-0.0153)
2.7241	13400	2.0557	2.0758	0.4387 (-0.1018)	0.3422 (+0.0171)	0.5319 (+0.0312)	0.4376 (-0.0178)
2.7445	13500	2.0509	2.0770	0.4426 (-0.0978)	0.3303 (+0.0053)	0.4979 (-0.0028)	0.4236 (-0.0318)
2.7648	13600	2.0502	2.0769	0.4530 (-0.0874)	0.3406 (+0.0156)	0.5257 (+0.0250)	0.4398 (-0.0156)
2.7851	13700	2.0585	2.0760	0.4333 (-0.1072)	0.3447 (+0.0196)	0.5122 (+0.0116)	0.4300 (-0.0253)
2.8054	13800	2.0602	2.0761	0.4400 (-0.1004)	0.3388 (+0.0138)	0.5119 (+0.0113)	0.4303 (-0.0251)
2.8258	13900	2.0523	2.0782	0.4115 (-0.1289)	0.3512 (+0.0261)	0.5118 (+0.0111)	0.4248 (-0.0305)
2.8461	14000	2.0546	2.0771	0.4530 (-0.0874)	0.3560 (+0.0309)	0.5273 (+0.0267)	0.4454 (-0.0099)
2.8664	14100	2.0515	2.0764	0.4159 (-0.1245)	0.3488 (+0.0238)	0.5244 (+0.0238)	0.4297 (-0.0257)
2.8868	14200	2.0548	2.0757	0.4290 (-0.1115)	0.3576 (+0.0326)	0.5564 (+0.0558)	0.4477 (-0.0077)
2.9071	14300	2.0531	2.0759	0.4341 (-0.1063)	0.3574 (+0.0323)	0.5224 (+0.0218)	0.4380 (-0.0174)
2.9274	14400	2.0682	2.0766	0.4335 (-0.1069)	0.3535 (+0.0285)	0.5039 (+0.0032)	0.4303 (-0.0251)
2.9478	14500	2.0547	2.0769	0.4308 (-0.1096)	0.3521 (+0.0271)	0.4970 (-0.0037)	0.4266 (-0.0287)
2.9681	14600	2.0563	2.0751	0.4190 (-0.1214)	0.3396 (+0.0145)	0.4882 (-0.0124)	0.4156 (-0.0398)
2.9884	14700	2.0611	2.0767	0.4186 (-0.1219)	0.3486 (+0.0236)	0.5440 (+0.0434)	0.4371 (-0.0183)
3.0087	14800	2.0523	2.0781	0.4008 (-0.1396)	0.3537 (+0.0286)	0.4994 (-0.0013)	0.4179 (-0.0374)
3.0291	14900	2.0472	2.0788	0.3772 (-0.1633)	0.3552 (+0.0301)	0.5034 (+0.0028)	0.4119 (-0.0434)
3.0494	15000	2.0432	2.0790	0.4011 (-0.1393)	0.3429 (+0.0178)	0.4759 (-0.0247)	0.4066 (-0.0487)
3.0697	15100	2.041	2.0807	0.3915 (-0.1489)	0.3361 (+0.0111)	0.4776 (-0.0230)	0.4018 (-0.0536)
3.0901	15200	2.0505	2.0820	0.3796 (-0.1609)	0.3365 (+0.0115)	0.5330 (+0.0323)	0.4163 (-0.0390)
3.1104	15300	2.0542	2.0816	0.3552 (-0.1852)	0.3331 (+0.0081)	0.4838 (-0.0168)	0.3907 (-0.0646)
3.1307	15400	2.0346	2.0796	0.3655 (-0.1749)	0.3405 (+0.0154)	0.4532 (-0.0474)	0.3864 (-0.0690)
3.1510	15500	2.0384	2.0810	0.3707 (-0.1697)	0.3496 (+0.0246)	0.4960 (-0.0046)	0.4054 (-0.0499)
3.1714	15600	2.0481	2.0800	0.3712 (-0.1692)	0.3249 (-0.0002)	0.4778 (-0.0229)	0.3913 (-0.0641)
3.1917	15700	2.0423	2.0804	0.4017 (-0.1387)	0.3351 (+0.0100)	0.4836 (-0.0171)	0.4068 (-0.0486)
3.2120	15800	2.0428	2.0811	0.3726 (-0.1678)	0.3299 (+0.0049)	0.4817 (-0.0190)	0.3948 (-0.0606)
3.2324	15900	2.04	2.0792	0.3549 (-0.1855)	0.3298 (+0.0048)	0.4805 (-0.0201)	0.3884 (-0.0670)
3.2527	16000	2.0401	2.0810	0.3865 (-0.1539)	0.3375 (+0.0125)	0.4841 (-0.0165)	0.4027 (-0.0526)
3.2730	16100	2.049	2.0807	0.3778 (-0.1626)	0.3410 (+0.0159)	0.4833 (-0.0173)	0.4007 (-0.0547)
3.2934	16200	2.0434	2.0801	0.3910 (-0.1494)	0.3415 (+0.0165)	0.4817 (-0.0189)	0.4048 (-0.0506)
3.3137	16300	2.0478	2.0795	0.3813 (-0.1592)	0.3448 (+0.0198)	0.4504 (-0.0503)	0.3921 (-0.0632)
3.3340	16400	2.0405	2.0803	0.3730 (-0.1674)	0.3376 (+0.0126)	0.4523 (-0.0484)	0.3876 (-0.0677)
3.3543	16500	2.0416	2.0799	0.3515 (-0.1889)	0.3478 (+0.0228)	0.4594 (-0.0412)	0.3863 (-0.0691)
3.3747	16600	2.0511	2.0814	0.3559 (-0.1846)	0.3309 (+0.0059)	0.4547 (-0.0460)	0.3805 (-0.0749)
3.3950	16700	2.0449	2.0808	0.3683 (-0.1721)	0.3321 (+0.0070)	0.4841 (-0.0166)	0.3948 (-0.0606)
3.4153	16800	2.0442	2.0817	0.3908 (-0.1497)	0.3318 (+0.0067)	0.4735 (-0.0272)	0.3987 (-0.0567)
3.4357	16900	2.0436	2.0806	0.4016 (-0.1388)	0.3215 (-0.0035)	0.4638 (-0.0368)	0.3957 (-0.0597)
3.4560	17000	2.0542	2.0803	0.3913 (-0.1491)	0.3333 (+0.0082)	0.4499 (-0.0507)	0.3915 (-0.0639)
3.4763	17100	2.0527	2.0802	0.3967 (-0.1437)	0.3430 (+0.0179)	0.4714 (-0.0292)	0.4037 (-0.0517)
3.4966	17200	2.0435	2.0801	0.3727 (-0.1678)	0.3320 (+0.0069)	0.4553 (-0.0454)	0.3866 (-0.0687)
3.5170	17300	2.0449	2.0798	0.3930 (-0.1474)	0.3325 (+0.0075)	0.4417 (-0.0590)	0.3891 (-0.0663)
3.5373	17400	2.0527	2.0796	0.3849 (-0.1555)	0.3438 (+0.0188)	0.4356 (-0.0651)	0.3881 (-0.0673)
3.5576	17500	2.0492	2.0814	0.4077 (-0.1327)	0.3351 (+0.0100)	0.4579 (-0.0427)	0.4002 (-0.0551)
3.5780	17600	2.0472	2.0803	0.4048 (-0.1356)	0.3323 (+0.0073)	0.4294 (-0.0713)	0.3888 (-0.0665)
3.5983	17700	2.0484	2.0801	0.3831 (-0.1573)	0.3271 (+0.0020)	0.4581 (-0.0426)	0.3894 (-0.0660)
3.6186	17800	2.0529	2.0794	0.3879 (-0.1525)	0.3381 (+0.0130)	0.4335 (-0.0672)	0.3865 (-0.0689)
3.6390	17900	2.0402	2.0810	0.3675 (-0.1729)	0.3263 (+0.0013)	0.4520 (-0.0486)	0.3819 (-0.0734)
3.6593	18000	2.0498	2.0788	0.3902 (-0.1503)	0.3411 (+0.0161)	0.3960 (-0.1046)	0.3758 (-0.0796)
3.6796	18100	2.048	2.0807	0.3882 (-0.1523)	0.3259 (+0.0008)	0.4099 (-0.0907)	0.3746 (-0.0807)
3.6999	18200	2.0464	2.0797	0.3804 (-0.1601)	0.3259 (+0.0009)	0.4418 (-0.0589)	0.3827 (-0.0727)
3.7203	18300	2.0503	2.0816	0.3630 (-0.1774)	0.3278 (+0.0028)	0.4371 (-0.0635)	0.3760 (-0.0794)
3.7406	18400	2.0401	2.0805	0.3580 (-0.1824)	0.3216 (-0.0035)	0.4336 (-0.0670)	0.3711 (-0.0843)
3.7609	18500	2.0383	2.0820	0.3589 (-0.1816)	0.3269 (+0.0019)	0.4634 (-0.0373)	0.3831 (-0.0723)
3.7813	18600	2.0454	2.0801	0.3806 (-0.1598)	0.3215 (-0.0036)	0.4354 (-0.0652)	0.3792 (-0.0762)
3.8016	18700	2.0457	2.0811	0.3678 (-0.1727)	0.3135 (-0.0116)	0.4221 (-0.0785)	0.3678 (-0.0876)
3.8219	18800	2.0449	2.0813	0.3762 (-0.1642)	0.3113 (-0.0137)	0.4399 (-0.0608)	0.3758 (-0.0796)
3.8422	18900	2.0451	2.0797	0.3705 (-0.1699)	0.3155 (-0.0095)	0.4345 (-0.0662)	0.3735 (-0.0819)
3.8626	19000	2.045	2.0802	0.3937 (-0.1467)	0.3086 (-0.0164)	0.4491 (-0.0516)	0.3838 (-0.0716)
3.8829	19100	2.0551	2.0801	0.3814 (-0.1590)	0.3164 (-0.0087)	0.4643 (-0.0363)	0.3874 (-0.0680)
3.9032	19200	2.0368	2.0795	0.3833 (-0.1571)	0.3175 (-0.0076)	0.4464 (-0.0542)	0.3824 (-0.0730)
3.9236	19300	2.046	2.0798	0.3885 (-0.1519)	0.3074 (-0.0177)	0.4416 (-0.0590)	0.3792 (-0.0762)
3.9439	19400	2.0507	2.0802	0.3913 (-0.1491)	0.3150 (-0.0100)	0.4341 (-0.0665)	0.3801 (-0.0752)
3.9642	19500	2.0555	2.0811	0.3892 (-0.1513)	0.3141 (-0.0109)	0.4466 (-0.0540)	0.3833 (-0.0721)
3.9845	19600	2.0433	2.0810	0.3827 (-0.1577)	0.3124 (-0.0126)	0.4482 (-0.0525)	0.3811 (-0.0743)
4.0049	19700	2.0403	2.0836	0.4009 (-0.1396)	0.3096 (-0.0154)	0.4474 (-0.0532)	0.3860 (-0.0694)
4.0252	19800	2.0413	2.0828	0.3905 (-0.1499)	0.3221 (-0.0030)	0.4009 (-0.0998)	0.3712 (-0.0842)
4.0455	19900	2.0321	2.0827	0.3910 (-0.1494)	0.3286 (+0.0035)	0.4228 (-0.0778)	0.3808 (-0.0746)
4.0659	20000	2.0293	2.0832	0.3854 (-0.1550)	0.3256 (+0.0006)	0.4328 (-0.0679)	0.3813 (-0.0741)
4.0862	20100	2.0347	2.0832	0.3677 (-0.1727)	0.3254 (+0.0003)	0.4106 (-0.0900)	0.3679 (-0.0875)
4.1065	20200	2.0377	2.0843	0.3814 (-0.1590)	0.3097 (-0.0154)	0.4060 (-0.0947)	0.3657 (-0.0897)
4.1269	20300	2.0335	2.0832	0.3756 (-0.1648)	0.3149 (-0.0101)	0.3943 (-0.1063)	0.3616 (-0.0937)
4.1472	20400	2.0417	2.0828	0.3596 (-0.1808)	0.3171 (-0.0080)	0.3837 (-0.1170)	0.3535 (-0.1019)
4.1675	20500	2.0369	2.0829	0.3665 (-0.1739)	0.3166 (-0.0084)	0.3854 (-0.1152)	0.3562 (-0.0992)
4.1878	20600	2.0362	2.0849	0.3731 (-0.1673)	0.3201 (-0.0049)	0.4080 (-0.0927)	0.3671 (-0.0883)
4.2082	20700	2.0323	2.0836	0.3580 (-0.1824)	0.3278 (+0.0027)	0.3857 (-0.1149)	0.3572 (-0.0982)
4.2285	20800	2.0383	2.0850	0.3620 (-0.1784)	0.3230 (-0.0021)	0.4202 (-0.0804)	0.3684 (-0.0870)
4.2488	20900	2.0286	2.0844	0.3646 (-0.1759)	0.3286 (+0.0036)	0.4114 (-0.0893)	0.3682 (-0.0872)
4.2692	21000	2.0305	2.0839	0.3681 (-0.1723)	0.3274 (+0.0023)	0.4230 (-0.0776)	0.3729 (-0.0825)
4.2895	21100	2.0381	2.0835	0.3720 (-0.1684)	0.3228 (-0.0023)	0.4009 (-0.0998)	0.3652 (-0.0902)
4.3098	21200	2.036	2.0837	0.3654 (-0.1750)	0.3177 (-0.0074)	0.4037 (-0.0969)	0.3622 (-0.0931)
4.3301	21300	2.0409	2.0843	0.3596 (-0.1808)	0.3207 (-0.0044)	0.4013 (-0.0993)	0.3605 (-0.0948)
4.3505	21400	2.0454	2.0842	0.3745 (-0.1659)	0.3199 (-0.0051)	0.4009 (-0.0997)	0.3651 (-0.0902)
4.3708	21500	2.0349	2.0839	0.3685 (-0.1720)	0.3237 (-0.0013)	0.3973 (-0.1033)	0.3632 (-0.0922)
4.3911	21600	2.0437	2.0832	0.3719 (-0.1685)	0.3228 (-0.0022)	0.4007 (-0.1000)	0.3651 (-0.0902)
4.4115	21700	2.034	2.0838	0.3768 (-0.1636)	0.3313 (+0.0063)	0.4150 (-0.0857)	0.3744 (-0.0810)
4.4318	21800	2.0308	2.0837	0.3719 (-0.1685)	0.3264 (+0.0014)	0.4148 (-0.0858)	0.3711 (-0.0843)
4.4521	21900	2.0427	2.0847	0.3695 (-0.1709)	0.3210 (-0.0040)	0.4038 (-0.0968)	0.3648 (-0.0906)
4.4725	22000	2.034	2.0845	0.3745 (-0.1659)	0.3207 (-0.0043)	0.3993 (-0.1013)	0.3648 (-0.0905)
4.4928	22100	2.0393	2.0827	0.3685 (-0.1719)	0.3208 (-0.0042)	0.3833 (-0.1173)	0.3576 (-0.0978)
4.5131	22200	2.0426	2.0834	0.3743 (-0.1661)	0.3167 (-0.0084)	0.4092 (-0.0914)	0.3667 (-0.0887)
4.5334	22300	2.0323	2.0839	0.3595 (-0.1809)	0.3165 (-0.0086)	0.3945 (-0.1061)	0.3568 (-0.0985)
4.5538	22400	2.0361	2.0834	0.3695 (-0.1709)	0.3190 (-0.0061)	0.4070 (-0.0937)	0.3652 (-0.0902)
4.5741	22500	2.0424	2.0838	0.3448 (-0.1957)	0.3169 (-0.0081)	0.3964 (-0.1043)	0.3527 (-0.1027)
4.5944	22600	2.038	2.0833	0.3617 (-0.1787)	0.3170 (-0.0081)	0.3965 (-0.1041)	0.3584 (-0.0970)
4.6148	22700	2.0406	2.0833	0.3707 (-0.1697)	0.3188 (-0.0063)	0.4003 (-0.1003)	0.3633 (-0.0921)
4.6351	22800	2.0396	2.0831	0.3710 (-0.1694)	0.3206 (-0.0044)	0.4028 (-0.0978)	0.3648 (-0.0905)
4.6554	22900	2.0362	2.0839	0.3639 (-0.1766)	0.3210 (-0.0040)	0.3956 (-0.1050)	0.3602 (-0.0952)
4.6757	23000	2.0508	2.0838	0.3545 (-0.1859)	0.3205 (-0.0045)	0.4059 (-0.0948)	0.3603 (-0.0951)
4.6961	23100	2.0443	2.0840	0.3719 (-0.1685)	0.3198 (-0.0052)	0.3937 (-0.1069)	0.3618 (-0.0936)
4.7164	23200	2.0316	2.0837	0.3773 (-0.1631)	0.3199 (-0.0051)	0.3951 (-0.1056)	0.3641 (-0.0913)
4.7367	23300	2.0444	2.0844	0.3749 (-0.1655)	0.3179 (-0.0072)	0.4029 (-0.0977)	0.3652 (-0.0901)
4.7571	23400	2.0464	2.0838	0.3596 (-0.1808)	0.3167 (-0.0083)	0.4037 (-0.0969)	0.3600 (-0.0953)
4.7774	23500	2.0297	2.0841	0.3694 (-0.1710)	0.3165 (-0.0086)	0.4087 (-0.0919)	0.3649 (-0.0905)
4.7977	23600	2.0305	2.0838	0.3628 (-0.1777)	0.3192 (-0.0058)	0.4024 (-0.0983)	0.3615 (-0.0939)
4.8181	23700	2.0421	2.0839	0.3559 (-0.1845)	0.3185 (-0.0065)	0.3963 (-0.1043)	0.3569 (-0.0984)
4.8384	23800	2.0331	2.0843	0.3645 (-0.1759)	0.3176 (-0.0074)	0.4027 (-0.0979)	0.3616 (-0.0937)
4.8587	23900	2.0331	2.0840	0.3628 (-0.1776)	0.3184 (-0.0067)	0.4042 (-0.0964)	0.3618 (-0.0936)
4.8790	24000	2.0361	2.0838	0.3623 (-0.1782)	0.3171 (-0.0080)	0.4024 (-0.0982)	0.3606 (-0.0948)
4.8994	24100	2.029	2.0842	0.3628 (-0.1777)	0.3192 (-0.0058)	0.4028 (-0.0979)	0.3616 (-0.0938)
4.9197	24200	2.0257	2.0844	0.3642 (-0.1763)	0.3224 (-0.0027)	0.3956 (-0.1050)	0.3607 (-0.0947)
4.9400	24300	2.0298	2.0842	0.3685 (-0.1719)	0.3193 (-0.0057)	0.3964 (-0.1043)	0.3614 (-0.0939)
4.9604	24400	2.0412	2.0841	0.3663 (-0.1742)	0.3161 (-0.0090)	0.4009 (-0.0997)	0.3611 (-0.0943)
4.9807	24500	2.0376	2.0840	0.3636 (-0.1768)	0.3156 (-0.0095)	0.4008 (-0.0998)	0.3600 (-0.0954)
-1	-1	-	-	0.5348 (-0.0056)	0.3376 (+0.0126)	0.5534 (+0.0528)	0.4753 (+0.0199)

• The bold row denotes the saved checkpoint.

Framework Versions

• Python: 3.10.18
• Sentence Transformers: 5.0.0
• Transformers: 4.56.0.dev0
• PyTorch: 2.7.1+cu126
• Accelerate: 1.9.0
• Datasets: 4.0.0
• Tokenizers: 0.21.4

Citation

BibTeX

Sentence Transformers

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

ListNetLoss

@inproceedings{cao2007learning,
    title={Learning to Rank: From Pairwise Approach to Listwise Approach},
    author={Cao, Zhe and Qin, Tao and Liu, Tie-Yan and Tsai, Ming-Feng and Li, Hang},
    booktitle={Proceedings of the 24th international conference on Machine learning},
    pages={129--136},
    year={2007}
}