--- tags: - ColBERT - PyLate - sentence-transformers - sentence-similarity - feature-extraction - generated_from_trainer - dataset_size:599884 - loss:KDLossWrapper base_model: FremyCompany/BioLORD-2023 pipeline_tag: sentence-similarity library_name: PyLate --- # PyLate model based on FremyCompany/BioLORD-2023 This is a [PyLate](https://github.com/lightonai/pylate) model finetuned from [FremyCompany/BioLORD-2023](https://huggingface.co/FremyCompany/BioLORD-2023). It maps sentences & paragraphs to sequences of 128-dimensional dense vectors and can be used for semantic textual similarity using the MaxSim operator. ## Model Details ### Model Description - **Model Type:** PyLate model - **Base model:** [FremyCompany/BioLORD-2023](https://huggingface.co/FremyCompany/BioLORD-2023) - **Document Length:** 96 tokens - **Query Length:** 96 tokens - **Output Dimensionality:** 128 tokens - **Similarity Function:** MaxSim ### Model Sources - **Documentation:** [PyLate Documentation](https://lightonai.github.io/pylate/) - **Repository:** [PyLate on GitHub](https://github.com/lightonai/pylate) - **Hugging Face:** [PyLate models on Hugging Face](https://huggingface.co/models?library=PyLate) ### Full Model Architecture ``` ColBERT( (0): Transformer({'max_seq_length': 95, 'do_lower_case': False, 'architecture': 'PeftModelForFeatureExtraction'}) (1): Dense({'in_features': 768, 'out_features': 128, 'bias': False, 'activation_function': 'torch.nn.modules.linear.Identity', 'use_residual': False}) ) ``` ## Usage First install the PyLate library: ```bash pip install -U pylate ``` ### Retrieval Use this model with PyLate to index and retrieve documents. The index uses [FastPLAID](https://github.com/lightonai/fast-plaid) for efficient similarity search. #### Indexing documents Load the ColBERT model and initialize the PLAID index, then encode and index your documents: ```python from pylate import indexes, models, retrieve # Step 1: Load the ColBERT model model = models.ColBERT( model_name_or_path="pylate_model_id", ) # Step 2: Initialize the PLAID index index = indexes.PLAID( index_folder="pylate-index", index_name="index", override=True, # This overwrites the existing index if any ) # Step 3: Encode the documents documents_ids = ["1", "2", "3"] documents = ["document 1 text", "document 2 text", "document 3 text"] documents_embeddings = model.encode( documents, batch_size=32, is_query=False, # Ensure that it is set to False to indicate that these are documents, not queries show_progress_bar=True, ) # Step 4: Add document embeddings to the index by providing embeddings and corresponding ids index.add_documents( documents_ids=documents_ids, documents_embeddings=documents_embeddings, ) ``` Note that you do not have to recreate the index and encode the documents every time. Once you have created an index and added the documents, you can re-use the index later by loading it: ```python # To load an index, simply instantiate it with the correct folder/name and without overriding it index = indexes.PLAID( index_folder="pylate-index", index_name="index", ) ``` #### Retrieving top-k documents for queries Once the documents are indexed, you can retrieve the top-k most relevant documents for a given set of queries. To do so, initialize the ColBERT retriever with the index you want to search in, encode the queries and then retrieve the top-k documents to get the top matches ids and relevance scores: ```python # Step 1: Initialize the ColBERT retriever retriever = retrieve.ColBERT(index=index) # Step 2: Encode the queries queries_embeddings = model.encode( ["query for document 3", "query for document 1"], batch_size=32, is_query=True, # # Ensure that it is set to False to indicate that these are queries show_progress_bar=True, ) # Step 3: Retrieve top-k documents scores = retriever.retrieve( queries_embeddings=queries_embeddings, k=10, # Retrieve the top 10 matches for each query ) ``` ### Reranking If you only want to use the ColBERT model to perform reranking on top of your first-stage retrieval pipeline without building an index, you can simply use rank function and pass the queries and documents to rerank: ```python from pylate import rank, models queries = [ "query A", "query B", ] documents = [ ["document A", "document B"], ["document 1", "document C", "document B"], ] documents_ids = [ [1, 2], [1, 3, 2], ] model = models.ColBERT( model_name_or_path="pylate_model_id", ) queries_embeddings = model.encode( queries, is_query=True, ) documents_embeddings = model.encode( documents, is_query=False, ) reranked_documents = rank.rerank( documents_ids=documents_ids, queries_embeddings=queries_embeddings, documents_embeddings=documents_embeddings, ) ``` ## Training Details ### Training Dataset #### Unnamed Dataset * Size: 599,884 training samples * Columns: query, positive, query_id, target_id, group_id, negative_0, negative_1, and negative_2 * Approximate statistics based on the first 1000 samples: | | query | positive | query_id | target_id | group_id | negative_0 | negative_1 | negative_2 | 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| type | string | string | string | int | int | string | string | string | | details | | | | | | | | | * Samples: | query | positive | query_id | target_id | group_id | negative_0 | negative_1 | negative_2 | |:------------------------------------------------------|:----------------------------------------------------------------------------|:-------------------------|:----------------------|:----------------------|:--------------------------------------------------------------------|:--------------------------------------------------------------------|:-----------------------------------------------------------------------| | donepezil (gh) 10 mg tablet, 60 | donepezil 10 mg oral tablet box of 60 | q2955867_0 | 43293533 | 715997 | donepezil 10 mg oral tablet box of 28 | donepezil 10 mg delayed release oral tablet box of 56 | donepezil 10 mg delayed release oral tablet box of 120 | | 夓孢ę›æ唑钠 2.0克 ę³Ø射剂 [ē›Šę›æę¬£] | ceftezole sodium 2000 mg injectable solution [yitixin] | q35876872_1 | 35871757 | 35872072 | ceftezole sodium 4000 mg injectable solution [yitixin] | ceftezole sodium 4000 mg injectable solution [yitixin] | ceftezole sodium 4000 mg injectable solution [yitixin] | | acetaminophen 325mg, tramadol hcl 37.5mg | acetaminophen 325 mg / tramadol 37.5 mg oral tablet [tramacet] | q42386298_1 | 21111882 | 21131311 | azathioprine 50 mg oral tablet [azanin] | olanzapine 20 mg oral tablet [olanzapin 1a pharma] | levomenthol 6.5 mg/ml medicated liquid soap [pinimenthol] | * Loss: thirawat_trainer.training.colbert.KDLossWrapper ### Evaluation Dataset #### Unnamed Dataset * Size: 2,287 evaluation samples * Columns: query, positive, query_id, target_id, group_id, negative_0, negative_1, and negative_2 * Approximate statistics based on the first 1000 samples: | | query | positive | query_id | target_id | group_id | negative_0 | negative_1 | negative_2 | 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| type | string | string | string | int | int | string | string | string | | details | | | | | | | | | * Samples: | query | positive | query_id | target_id | group_id | negative_0 | negative_1 | negative_2 | |:----------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------|:----------------------|:----------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------|:--------------------------------------------------------------------------| | clobazam 10mg/5ml oral suspension | clobazam 2 mg/ml oral suspension | q21276207_0 | 21025670 | 19050832 | clobazam 0.15 mg/ml oral suspension | clobazam 0.5 mg/ml oral suspension | clobazam 10 mg/ml oral solution | | nappy rash soothing and healing (david hosking's) cream, 120 g | 120000 mg benzoin resin 0.01 mg/mg / camphor 0.01 mg/mg / lanolin 0.5 mg/mg / storax prepared 0.008 mg/mg / zinc oxide 0.15 mg/mg topical ointment [nappy rash soothing and healing] | q43329690_0 | 43281402 | 40161252 | 118 ml dibasic sodium phosphate heptahydrate 59.3 mg/ml / sodium phosphate, monobasic 161 mg/ml rectal solution [fleet ready-to-use] | 1 ml domperidone 10 mg/ml powder for oral suspension [nauzelin] | 70000 mg arnica extract 0.1 mg/mg topical ointment [arnikae] | | 0.3 g clindamycin phosphate [kexinlin] | clindamycin 300 mg [kexinlin] | q36644900_0 | 35874078 | 19085270 | clindamycin 300 mg [zhuoli] | clindamycin 300 mg [clindamycin aristo] | clindamycin 300 mg [clindamycin billix] | * Loss: thirawat_trainer.training.colbert.KDLossWrapper ### Training Hyperparameters #### Non-Default Hyperparameters - `eval_strategy`: epoch - `per_device_train_batch_size`: 128 - `gradient_accumulation_steps`: 2 - `learning_rate`: 2e-05 - `warmup_ratio`: 0.1 - `bf16`: True - `dataloader_num_workers`: 4 - `remove_unused_columns`: False - `load_best_model_at_end`: True #### All Hyperparameters
Click to expand - `overwrite_output_dir`: False - `do_predict`: False - `eval_strategy`: epoch - `prediction_loss_only`: True - `per_device_train_batch_size`: 128 - `per_device_eval_batch_size`: 8 - `per_gpu_train_batch_size`: None - `per_gpu_eval_batch_size`: None - `gradient_accumulation_steps`: 2 - `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`: 3 - `max_steps`: -1 - `lr_scheduler_type`: linear - `lr_scheduler_kwargs`: {} - `warmup_ratio`: 0.1 - `warmup_steps`: 0 - `log_level`: passive - `log_level_replica`: warning - `log_on_each_node`: True - `logging_nan_inf_filter`: True - `save_safetensors`: True - `save_on_each_node`: False - `save_only_model`: False - `restore_callback_states_from_checkpoint`: False - `no_cuda`: False - `use_cpu`: False - `use_mps_device`: False - `seed`: 42 - `data_seed`: None - `jit_mode_eval`: False - `use_ipex`: False - `bf16`: 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`: 4 - `dataloader_prefetch_factor`: None - `past_index`: -1 - `disable_tqdm`: False - `remove_unused_columns`: False - `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 - `ddp_find_unused_parameters`: None - `ddp_bucket_cap_mb`: None - `ddp_broadcast_buffers`: False - `dataloader_pin_memory`: True - `dataloader_persistent_workers`: False - `skip_memory_metrics`: True - `use_legacy_prediction_loop`: False - `push_to_hub`: False - `resume_from_checkpoint`: None - `hub_model_id`: None - `hub_strategy`: every_save - `hub_private_repo`: None - `hub_always_push`: False - `hub_revision`: None - `gradient_checkpointing`: False - `gradient_checkpointing_kwargs`: None - `include_inputs_for_metrics`: False - `include_for_metrics`: [] - `eval_do_concat_batches`: True - `fp16_backend`: auto - `push_to_hub_model_id`: None - `push_to_hub_organization`: None - `mp_parameters`: - `auto_find_batch_size`: False - `full_determinism`: False - `torchdynamo`: None - `ray_scope`: last - `ddp_timeout`: 1800 - `torch_compile`: False - `torch_compile_backend`: None - `torch_compile_mode`: None - `include_tokens_per_second`: False - `include_num_input_tokens_seen`: False - `neftune_noise_alpha`: None - `optim_target_modules`: None - `batch_eval_metrics`: False - `eval_on_start`: False - `use_liger_kernel`: False - `liger_kernel_config`: None - `eval_use_gather_object`: False - `average_tokens_across_devices`: False - `prompts`: None - `batch_sampler`: batch_sampler - `multi_dataset_batch_sampler`: proportional - `router_mapping`: {} - `learning_rate_mapping`: {}
### Training Logs
Click to expand | Epoch | Step | Training Loss | Validation Loss | |:------:|:----:|:-------------:|:---------------:| | 0.0021 | 5 | 260.9562 | - | | 0.0043 | 10 | 243.0724 | - | | 0.0064 | 15 | 226.9033 | - | | 0.0085 | 20 | 247.598 | - | | 0.0107 | 25 | 237.7835 | - | | 0.0128 | 30 | 218.3724 | - | | 0.0149 | 35 | 208.53 | - | | 0.0171 | 40 | 224.4951 | - | | 0.0192 | 45 | 207.6082 | - | | 0.0213 | 50 | 215.5779 | - | | 0.0235 | 55 | 235.3491 | - | | 0.0256 | 60 | 221.6164 | - | | 0.0277 | 65 | 212.6889 | - | | 0.0299 | 70 | 216.2898 | - | | 0.0320 | 75 | 231.7364 | - | | 0.0341 | 80 | 206.7381 | - | | 0.0363 | 85 | 194.5393 | - | | 0.0384 | 90 | 212.0394 | - | | 0.0405 | 95 | 199.709 | - | | 0.0427 | 100 | 208.5693 | - | | 0.0448 | 105 | 185.4214 | - | | 0.0469 | 110 | 207.6509 | - | | 0.0491 | 115 | 207.7226 | - | | 0.0512 | 120 | 176.0556 | - | | 0.0533 | 125 | 194.877 | - | | 0.0555 | 130 | 194.9979 | - | | 0.0576 | 135 | 201.5107 | - | | 0.0597 | 140 | 191.0996 | - | | 0.0619 | 145 | 156.6461 | - | | 0.0640 | 150 | 163.2723 | - | | 0.0661 | 155 | 160.0 | - | | 0.0683 | 160 | 142.0651 | - | | 0.0704 | 165 | 147.7512 | - | | 0.0725 | 170 | 140.8079 | - | | 0.0747 | 175 | 125.8033 | - | | 0.0768 | 180 | 139.7856 | - | | 0.0789 | 185 | 116.0057 | - | | 0.0811 | 190 | 110.8626 | - | | 0.0832 | 195 | 109.0995 | - | | 0.0853 | 200 | 119.4655 | - | | 0.0875 | 205 | 110.2229 | - | | 0.0896 | 210 | 112.9283 | - | | 0.0917 | 215 | 112.8705 | - | | 0.0939 | 220 | 99.1093 | - | | 0.0960 | 225 | 84.201 | - | | 0.0981 | 230 | 85.2275 | - | | 0.1003 | 235 | 73.787 | - | | 0.1024 | 240 | 79.8435 | - | | 0.1045 | 245 | 67.2795 | - | | 0.1067 | 250 | 56.0195 | - | | 0.1088 | 255 | 49.6022 | - | | 0.1109 | 260 | 52.5486 | - | | 0.1131 | 265 | 42.2398 | - | | 0.1152 | 270 | 40.5546 | - | | 0.1173 | 275 | 40.2339 | - | | 0.1195 | 280 | 33.0703 | - | | 0.1216 | 285 | 28.2356 | - | | 0.1237 | 290 | 25.7024 | - | | 0.1259 | 295 | 21.9268 | - | | 0.1280 | 300 | 18.9837 | - | | 0.1301 | 305 | 14.5069 | - | | 0.1323 | 310 | 13.9749 | - | | 0.1344 | 315 | 10.4993 | - | | 0.1365 | 320 | 10.8756 | - | | 0.1387 | 325 | 8.448 | - | | 0.1408 | 330 | 7.3985 | - | | 0.1429 | 335 | 6.7277 | - | | 0.1451 | 340 | 5.369 | - | | 0.1472 | 345 | 5.1479 | - | | 0.1493 | 350 | 3.9802 | - | | 0.1515 | 355 | 3.3223 | - | | 0.1536 | 360 | 3.148 | - | | 0.1557 | 365 | 3.1232 | - | | 0.1579 | 370 | 2.6608 | - | | 0.1600 | 375 | 2.6175 | - | | 0.1622 | 380 | 2.1366 | - | | 0.1643 | 385 | 2.2121 | - | | 0.1664 | 390 | 2.2454 | - | | 0.1686 | 395 | 2.1155 | - | | 0.1707 | 400 | 1.988 | - | | 0.1728 | 405 | 1.965 | - | | 0.1750 | 410 | 1.8777 | - | | 0.1771 | 415 | 1.9024 | - | | 0.1792 | 420 | 1.7564 | - | | 0.1814 | 425 | 1.7513 | - | | 0.1835 | 430 | 1.8298 | - | | 0.1856 | 435 | 1.5716 | - | | 0.1878 | 440 | 1.5193 | - | | 0.1899 | 445 | 1.4442 | - | | 0.1920 | 450 | 1.5014 | - | | 0.1942 | 455 | 1.4301 | - | | 0.1963 | 460 | 1.5181 | - | | 0.1984 | 465 | 1.328 | - | | 0.2006 | 470 | 1.2831 | - | | 0.2027 | 475 | 1.4169 | - | | 0.2048 | 480 | 1.6943 | - | | 0.2070 | 485 | 1.2827 | - | | 0.2091 | 490 | 1.3442 | - | | 0.2112 | 495 | 1.3282 | - | | 0.2134 | 500 | 1.2025 | - | | 0.2155 | 505 | 1.4431 | - | | 0.2176 | 510 | 1.2434 | - | | 0.2198 | 515 | 1.1499 | - | | 0.2219 | 520 | 1.0773 | - | | 0.2240 | 525 | 1.2212 | - | | 0.2262 | 530 | 1.2723 | - | | 0.2283 | 535 | 1.2088 | - | | 0.2304 | 540 | 1.1508 | - | | 0.2326 | 545 | 1.1426 | - | | 0.2347 | 550 | 1.1775 | - | | 0.2368 | 555 | 1.2678 | - | | 0.2390 | 560 | 1.1158 | - | | 0.2411 | 565 | 1.0517 | - | | 0.2432 | 570 | 1.1448 | - | | 0.2454 | 575 | 1.16 | - | | 0.2475 | 580 | 1.0683 | - | | 0.2496 | 585 | 1.0468 | - | | 0.2518 | 590 | 0.9907 | - | | 0.2539 | 595 | 1.1522 | - | | 0.2560 | 600 | 1.0523 | - | | 0.2582 | 605 | 1.0185 | - | | 0.2603 | 610 | 1.0248 | - | | 0.2624 | 615 | 0.9046 | - | | 0.2646 | 620 | 0.9747 | - | | 0.2667 | 625 | 0.9869 | - | | 0.2688 | 630 | 1.0425 | - | | 0.2710 | 635 | 0.9651 | - | | 0.2731 | 640 | 1.0077 | - | | 0.2752 | 645 | 0.8222 | - | | 0.2774 | 650 | 0.8685 | - | | 0.2795 | 655 | 0.8913 | - | | 0.2816 | 660 | 0.935 | - | | 0.2838 | 665 | 0.967 | - | | 0.2859 | 670 | 0.9005 | - | | 0.2880 | 675 | 0.8015 | - | | 0.2902 | 680 | 0.912 | - | | 0.2923 | 685 | 0.9849 | - | | 0.2944 | 690 | 1.0628 | - | | 0.2966 | 695 | 0.8542 | - | | 0.2987 | 700 | 0.911 | - | | 0.3008 | 705 | 0.9248 | - | | 0.3030 | 710 | 0.8878 | - | | 0.3051 | 715 | 0.9006 | - | | 0.3072 | 720 | 0.9037 | - | | 0.3094 | 725 | 0.8492 | - | | 0.3115 | 730 | 0.8886 | - | | 0.3136 | 735 | 0.8558 | - | | 0.3158 | 740 | 0.8353 | - | | 0.3179 | 745 | 0.8278 | - | | 0.3200 | 750 | 0.8283 | - | | 0.3222 | 755 | 0.867 | - | | 0.3243 | 760 | 0.7298 | - | | 0.3264 | 765 | 0.874 | - | | 0.3286 | 770 | 0.7672 | - | | 0.3307 | 775 | 0.8225 | - | | 0.3328 | 780 | 0.8248 | - | | 0.3350 | 785 | 0.8961 | - | | 0.3371 | 790 | 0.8242 | - | | 0.3392 | 795 | 0.764 | - | | 0.3414 | 800 | 0.7479 | - | | 0.3435 | 805 | 0.9007 | - | | 0.3456 | 810 | 0.8867 | - | | 0.3478 | 815 | 0.8493 | - | | 0.3499 | 820 | 0.7158 | - | | 0.3520 | 825 | 0.7642 | - | | 0.3542 | 830 | 0.7993 | - | | 0.3563 | 835 | 0.7103 | - | | 0.3584 | 840 | 0.7772 | - | | 0.3606 | 845 | 0.8199 | - | | 0.3627 | 850 | 0.9472 | - | | 0.3648 | 855 | 0.7318 | - | | 0.3670 | 860 | 0.6891 | - | | 0.3691 | 865 | 0.8185 | - | | 0.3712 | 870 | 0.7771 | - | | 0.3734 | 875 | 0.7638 | - | | 0.3755 | 880 | 1.1106 | - | | 0.3776 | 885 | 0.8603 | - | | 0.3798 | 890 | 0.9143 | - | | 0.3819 | 895 | 0.7764 | - | | 0.3840 | 900 | 0.8121 | - | | 0.3862 | 905 | 0.7664 | - | | 0.3883 | 910 | 0.7424 | - | | 0.3904 | 915 | 0.7377 | - | | 0.3926 | 920 | 0.8329 | - | | 0.3947 | 925 | 0.6529 | - | | 0.3968 | 930 | 0.653 | - | | 0.3990 | 935 | 0.6713 | - | | 0.4011 | 940 | 0.8805 | - | | 0.4032 | 945 | 0.7712 | - | | 0.4054 | 950 | 0.7399 | - | | 0.4075 | 955 | 0.7024 | - | | 0.4096 | 960 | 0.7185 | - | | 0.4118 | 965 | 0.6943 | - | | 0.4139 | 970 | 0.7553 | - | | 0.4160 | 975 | 0.5834 | - | | 0.4182 | 980 | 0.6494 | - | | 0.4203 | 985 | 0.7961 | - | | 0.4224 | 990 | 0.6523 | - | | 0.4246 | 995 | 0.9619 | - | | 0.4267 | 1000 | 0.7668 | - | | 0.4288 | 1005 | 0.6901 | - | | 0.4310 | 1010 | 0.6974 | - | | 0.4331 | 1015 | 0.6458 | - | | 0.4352 | 1020 | 0.664 | - | | 0.4374 | 1025 | 0.639 | - | | 0.4395 | 1030 | 0.7748 | - | | 0.4416 | 1035 | 0.666 | - | | 0.4438 | 1040 | 0.7466 | - | | 0.4459 | 1045 | 0.6738 | - | | 0.4480 | 1050 | 0.769 | - | | 0.4502 | 1055 | 0.6594 | - | | 0.4523 | 1060 | 0.7834 | - | | 0.4544 | 1065 | 0.5834 | - | | 0.4566 | 1070 | 0.5964 | - | | 0.4587 | 1075 | 0.673 | - | | 0.4608 | 1080 | 0.6506 | - | | 0.4630 | 1085 | 0.6009 | - | | 0.4651 | 1090 | 0.628 | - | | 0.4672 | 1095 | 0.7201 | - | | 0.4694 | 1100 | 0.6409 | - | | 0.4715 | 1105 | 0.5792 | - | | 0.4737 | 1110 | 0.5869 | - | | 0.4758 | 1115 | 0.6068 | - | | 0.4779 | 1120 | 0.6184 | - | | 0.4801 | 1125 | 0.62 | - | | 0.4822 | 1130 | 0.6352 | - | | 0.4843 | 1135 | 0.6614 | - | | 0.4865 | 1140 | 0.6086 | - | | 0.4886 | 1145 | 0.6339 | - | | 0.4907 | 1150 | 0.6728 | - | | 0.4929 | 1155 | 0.6508 | - | | 0.4950 | 1160 | 0.6442 | - | | 0.4971 | 1165 | 0.7078 | - | | 0.4993 | 1170 | 0.7788 | - | | 0.5014 | 1175 | 0.7097 | - | | 0.5035 | 1180 | 0.5971 | - | | 0.5057 | 1185 | 0.6299 | - | | 0.5078 | 1190 | 0.6348 | - | | 0.5099 | 1195 | 0.6403 | - | | 0.5121 | 1200 | 0.655 | - | | 0.5142 | 1205 | 0.617 | - | | 0.5163 | 1210 | 0.586 | - | | 0.5185 | 1215 | 0.6441 | - | | 0.5206 | 1220 | 0.5532 | - | | 0.5227 | 1225 | 0.5795 | - | | 0.5249 | 1230 | 0.652 | - | | 0.5270 | 1235 | 0.6023 | - | | 0.5291 | 1240 | 0.6742 | - | | 0.5313 | 1245 | 0.5938 | - | | 0.5334 | 1250 | 0.5831 | - | | 0.5355 | 1255 | 0.6278 | - | | 0.5377 | 1260 | 0.5228 | - | | 0.5398 | 1265 | 0.5514 | - | | 0.5419 | 1270 | 0.6121 | - | | 0.5441 | 1275 | 0.5538 | - | | 0.5462 | 1280 | 0.5912 | - | | 0.5483 | 1285 | 0.5777 | - | | 0.5505 | 1290 | 0.5657 | - | | 0.5526 | 1295 | 0.6132 | - | | 0.5547 | 1300 | 0.5407 | - | | 0.5569 | 1305 | 0.5939 | - | | 0.5590 | 1310 | 0.6412 | - | | 0.5611 | 1315 | 0.5422 | - | | 0.5633 | 1320 | 0.6404 | - | | 0.5654 | 1325 | 0.6208 | - | | 0.5675 | 1330 | 0.5722 | - | | 0.5697 | 1335 | 0.5092 | - | | 0.5718 | 1340 | 0.6061 | - | | 0.5739 | 1345 | 0.6441 | - | | 0.5761 | 1350 | 0.5957 | - | | 0.5782 | 1355 | 0.6249 | - | | 0.5803 | 1360 | 0.6002 | - | | 0.5825 | 1365 | 0.6096 | - | | 0.5846 | 1370 | 0.5466 | - | | 0.5867 | 1375 | 0.5664 | - | | 0.5889 | 1380 | 0.6218 | - | | 0.5910 | 1385 | 0.513 | - | | 0.5931 | 1390 | 0.6036 | - | | 0.5953 | 1395 | 0.5427 | - | | 0.5974 | 1400 | 0.4911 | - | | 0.5995 | 1405 | 0.5789 | - | | 0.6017 | 1410 | 0.5746 | - | | 0.6038 | 1415 | 0.6073 | - | | 0.6059 | 1420 | 0.5064 | - | | 0.6081 | 1425 | 0.5846 | - | | 0.6102 | 1430 | 0.5368 | - | | 0.6123 | 1435 | 0.5735 | - | | 0.6145 | 1440 | 0.5119 | - | | 0.6166 | 1445 | 0.5429 | - | | 0.6187 | 1450 | 0.6141 | - | | 0.6209 | 1455 | 0.5224 | - | | 0.6230 | 1460 | 0.5656 | - | | 0.6251 | 1465 | 0.567 | - | | 0.6273 | 1470 | 0.5517 | - | | 0.6294 | 1475 | 0.6311 | - | | 0.6315 | 1480 | 0.5862 | - | | 0.6337 | 1485 | 0.5699 | - | | 0.6358 | 1490 | 0.574 | - | | 0.6379 | 1495 | 0.5611 | - | | 0.6401 | 1500 | 0.4966 | - | | 0.6422 | 1505 | 0.5305 | - | | 0.6443 | 1510 | 0.5228 | - | | 0.6465 | 1515 | 0.5816 | - | | 0.6486 | 1520 | 0.5538 | - | | 0.6507 | 1525 | 0.4972 | - | | 0.6529 | 1530 | 0.5677 | - | | 0.6550 | 1535 | 0.5891 | - | | 0.6571 | 1540 | 0.5463 | - | | 0.6593 | 1545 | 0.6041 | - | | 0.6614 | 1550 | 0.7248 | - | | 0.6635 | 1555 | 0.6366 | - | | 0.6657 | 1560 | 0.6056 | - | | 0.6678 | 1565 | 0.5468 | - | | 0.6699 | 1570 | 0.5638 | - | | 0.6721 | 1575 | 0.5833 | - | | 0.6742 | 1580 | 0.6128 | - | | 0.6763 | 1585 | 0.5525 | - | | 0.6785 | 1590 | 0.5735 | - | | 0.6806 | 1595 | 0.5409 | - | | 0.6827 | 1600 | 0.545 | - | | 0.6849 | 1605 | 0.4922 | - | | 0.6870 | 1610 | 0.6188 | - | | 0.6891 | 1615 | 0.5705 | - | | 0.6913 | 1620 | 0.5205 | - | | 0.6934 | 1625 | 0.5568 | - | | 0.6955 | 1630 | 0.5565 | - | | 0.6977 | 1635 | 0.5122 | - | | 0.6998 | 1640 | 0.5414 | - | | 0.7019 | 1645 | 0.5126 | - | | 0.7041 | 1650 | 0.5426 | - | | 0.7062 | 1655 | 0.5764 | - | | 0.7083 | 1660 | 0.5159 | - | | 0.7105 | 1665 | 0.576 | - | | 0.7126 | 1670 | 0.5781 | - | | 0.7147 | 1675 | 0.5164 | - | | 0.7169 | 1680 | 0.5278 | - | | 0.7190 | 1685 | 0.5667 | - | | 0.7211 | 1690 | 0.4889 | - | | 0.7233 | 1695 | 0.5163 | - | | 0.7254 | 1700 | 0.523 | - | | 0.7275 | 1705 | 0.5503 | - | | 0.7297 | 1710 | 0.4932 | - | | 0.7318 | 1715 | 0.4973 | - | | 0.7339 | 1720 | 0.5625 | - | | 0.7361 | 1725 | 0.5335 | - | | 0.7382 | 1730 | 0.4446 | - | | 0.7403 | 1735 | 0.5377 | - | | 0.7425 | 1740 | 0.5036 | - | | 0.7446 | 1745 | 0.6074 | - | | 0.7467 | 1750 | 0.5982 | - | | 0.7489 | 1755 | 0.5762 | - | | 0.7510 | 1760 | 0.5379 | - | | 0.7531 | 1765 | 0.5702 | - | | 0.7553 | 1770 | 0.4272 | - | | 0.7574 | 1775 | 0.4805 | - | | 0.7595 | 1780 | 0.4963 | - | | 0.7617 | 1785 | 0.4846 | - | | 0.7638 | 1790 | 0.584 | - | | 0.7659 | 1795 | 0.5158 | - | | 0.7681 | 1800 | 0.5821 | - | | 0.7702 | 1805 | 0.4609 | - | | 0.7723 | 1810 | 0.4335 | - | | 0.7745 | 1815 | 0.5672 | - | | 0.7766 | 1820 | 0.467 | - | | 0.7787 | 1825 | 0.4924 | - | | 0.7809 | 1830 | 0.4786 | - | | 0.7830 | 1835 | 0.5365 | - | | 0.7852 | 1840 | 0.5199 | - | | 0.7873 | 1845 | 0.5243 | - | | 0.7894 | 1850 | 0.4685 | - | | 0.7916 | 1855 | 0.6146 | - | | 0.7937 | 1860 | 0.5446 | - | | 0.7958 | 1865 | 0.5278 | - | | 0.7980 | 1870 | 0.5452 | - | | 0.8001 | 1875 | 0.5923 | - | | 0.8022 | 1880 | 0.4944 | - | | 0.8044 | 1885 | 0.5447 | - | | 0.8065 | 1890 | 0.5575 | - | | 0.8086 | 1895 | 0.5922 | - | | 0.8108 | 1900 | 0.498 | - | | 0.8129 | 1905 | 0.4965 | - | | 0.8150 | 1910 | 0.5762 | - | | 0.8172 | 1915 | 0.5036 | - | | 0.8193 | 1920 | 0.5089 | - | | 0.8214 | 1925 | 0.5219 | - | | 0.8236 | 1930 | 0.5821 | - | | 0.8257 | 1935 | 0.4672 | - | | 0.8278 | 1940 | 0.4639 | - | | 0.8300 | 1945 | 0.518 | - | | 0.8321 | 1950 | 0.4295 | - | | 0.8342 | 1955 | 0.4736 | - | | 0.8364 | 1960 | 0.5154 | - | | 0.8385 | 1965 | 0.598 | - | | 0.8406 | 1970 | 0.52 | - | | 0.8428 | 1975 | 0.438 | - | | 0.8449 | 1980 | 0.4639 | - | | 0.8470 | 1985 | 0.5121 | - | | 0.8492 | 1990 | 0.4759 | - | | 0.8513 | 1995 | 0.5611 | - | | 0.8534 | 2000 | 0.5262 | - | | 0.8556 | 2005 | 0.5217 | - | | 0.8577 | 2010 | 0.4964 | - | | 0.8598 | 2015 | 0.4598 | - | | 0.8620 | 2020 | 0.525 | - | | 0.8641 | 2025 | 0.4956 | - | | 0.8662 | 2030 | 0.5389 | - | | 0.8684 | 2035 | 0.4701 | - | | 0.8705 | 2040 | 0.5139 | - | | 0.8726 | 2045 | 0.4604 | - | | 0.8748 | 2050 | 0.5102 | - | | 0.8769 | 2055 | 0.4905 | - | | 0.8790 | 2060 | 0.4595 | - | | 0.8812 | 2065 | 0.5007 | - | | 0.8833 | 2070 | 0.438 | - | | 0.8854 | 2075 | 0.4689 | - | | 0.8876 | 2080 | 0.4569 | - | | 0.8897 | 2085 | 0.5259 | - | | 0.8918 | 2090 | 0.4039 | - | | 0.8940 | 2095 | 0.4846 | - | | 0.8961 | 2100 | 0.4887 | - | | 0.8982 | 2105 | 0.5263 | - | | 0.9004 | 2110 | 0.4924 | - | | 0.9025 | 2115 | 0.4973 | - | | 0.9046 | 2120 | 0.4772 | - | | 0.9068 | 2125 | 0.5006 | - | | 0.9089 | 2130 | 0.4475 | - | | 0.9110 | 2135 | 0.497 | - | | 0.9132 | 2140 | 0.4469 | - | | 0.9153 | 2145 | 0.4795 | - | | 0.9174 | 2150 | 0.5059 | - | | 0.9196 | 2155 | 0.4438 | - | | 0.9217 | 2160 | 0.4385 | - | | 0.9238 | 2165 | 0.5495 | - | | 0.9260 | 2170 | 0.45 | - | | 0.9281 | 2175 | 0.5123 | - | | 0.9302 | 2180 | 0.4433 | - | | 0.9324 | 2185 | 0.4567 | - | | 0.9345 | 2190 | 0.4398 | - | | 0.9366 | 2195 | 0.4711 | - | | 0.9388 | 2200 | 0.4646 | - | | 0.9409 | 2205 | 0.4591 | - | | 0.9430 | 2210 | 0.4937 | - | | 0.9452 | 2215 | 0.4774 | - | | 0.9473 | 2220 | 0.4905 | - | | 0.9494 | 2225 | 0.4965 | - | | 0.9516 | 2230 | 0.4581 | - | | 0.9537 | 2235 | 0.4821 | - | | 0.9558 | 2240 | 0.4719 | - | | 0.9580 | 2245 | 0.522 | - | | 0.9601 | 2250 | 0.5162 | - | | 0.9622 | 2255 | 0.5248 | - | | 0.9644 | 2260 | 0.5118 | - | | 0.9665 | 2265 | 0.4359 | - | | 0.9686 | 2270 | 0.5012 | - | | 0.9708 | 2275 | 0.4344 | - | | 0.9729 | 2280 | 0.5507 | - | | 0.9750 | 2285 | 0.4657 | - | | 0.9772 | 2290 | 0.471 | - | | 0.9793 | 2295 | 0.4363 | - | | 0.9814 | 2300 | 0.4178 | - | | 0.9836 | 2305 | 0.4703 | - | | 0.9857 | 2310 | 0.4736 | - | | 0.9878 | 2315 | 0.4432 | - | | 0.9900 | 2320 | 0.4397 | - | | 0.9921 | 2325 | 0.4539 | - | | 0.9942 | 2330 | 0.4944 | - | | 0.9964 | 2335 | 0.553 | - | | 0.9985 | 2340 | 0.5004 | - | | 1.0 | 2344 | - | 0.2073 | | 1.0004 | 2345 | 0.4931 | - | | 1.0026 | 2350 | 0.5427 | - | | 1.0047 | 2355 | 0.5448 | - | | 1.0068 | 2360 | 0.4535 | - | | 1.0090 | 2365 | 0.4225 | - | | 1.0111 | 2370 | 0.4968 | - | | 1.0132 | 2375 | 0.487 | - | | 1.0154 | 2380 | 0.554 | - | | 1.0175 | 2385 | 0.5981 | - | | 1.0196 | 2390 | 0.4725 | - | | 1.0218 | 2395 | 0.595 | - | | 1.0239 | 2400 | 0.5523 | - | | 1.0260 | 2405 | 0.5019 | - | | 1.0282 | 2410 | 0.4736 | - | | 1.0303 | 2415 | 0.5149 | - | | 1.0324 | 2420 | 0.4451 | - | | 1.0346 | 2425 | 0.437 | - | | 1.0367 | 2430 | 0.5862 | - | | 1.0388 | 2435 | 0.488 | - | | 1.0410 | 2440 | 0.4786 | - | | 1.0431 | 2445 | 0.5068 | - | | 1.0452 | 2450 | 0.4296 | - | | 1.0474 | 2455 | 0.4776 | - | | 1.0495 | 2460 | 0.4776 | - | | 1.0516 | 2465 | 0.5713 | - | | 1.0538 | 2470 | 0.4727 | - | | 1.0559 | 2475 | 0.5128 | - | | 1.0580 | 2480 | 0.5382 | - | | 1.0602 | 2485 | 0.4477 | - | | 1.0623 | 2490 | 0.4534 | - | | 1.0644 | 2495 | 0.5227 | - | | 1.0666 | 2500 | 0.4626 | - | | 1.0687 | 2505 | 0.5692 | - | | 1.0708 | 2510 | 0.4777 | - | | 1.0730 | 2515 | 0.4565 | - | | 1.0751 | 2520 | 0.5691 | - | | 1.0772 | 2525 | 0.6618 | - | | 1.0794 | 2530 | 0.513 | - | | 1.0815 | 2535 | 0.4544 | - | | 1.0836 | 2540 | 0.476 | - | | 1.0858 | 2545 | 0.4708 | - | | 1.0879 | 2550 | 0.5527 | - | | 1.0900 | 2555 | 0.4507 | - | | 1.0922 | 2560 | 0.5308 | - | | 1.0943 | 2565 | 0.461 | - | | 1.0964 | 2570 | 0.4482 | - | | 1.0986 | 2575 | 0.4656 | - | | 1.1007 | 2580 | 0.5048 | - | | 1.1028 | 2585 | 0.4857 | - | | 1.1050 | 2590 | 0.5365 | - | | 1.1071 | 2595 | 0.4044 | - | | 1.1092 | 2600 | 0.4476 | - | | 1.1114 | 2605 | 0.6451 | - | | 1.1135 | 2610 | 0.4513 | - | | 1.1156 | 2615 | 0.3723 | - | | 1.1178 | 2620 | 0.4665 | - | | 1.1199 | 2625 | 0.522 | - | | 1.1220 | 2630 | 0.5245 | - | | 1.1242 | 2635 | 0.4309 | - | | 1.1263 | 2640 | 0.4553 | - | | 1.1284 | 2645 | 0.4862 | - | | 1.1306 | 2650 | 0.5337 | - | | 1.1327 | 2655 | 0.4743 | - | | 1.1348 | 2660 | 0.4623 | - | | 1.1370 | 2665 | 0.5064 | - | | 1.1391 | 2670 | 0.503 | - | | 1.1412 | 2675 | 0.5103 | - | | 1.1434 | 2680 | 0.4481 | - | | 1.1455 | 2685 | 0.4804 | - | | 1.1476 | 2690 | 0.4587 | - | | 1.1498 | 2695 | 0.5718 | - | | 1.1519 | 2700 | 0.428 | - | | 1.1540 | 2705 | 0.4927 | - | | 1.1562 | 2710 | 0.4218 | - | | 1.1583 | 2715 | 0.4965 | - | | 1.1604 | 2720 | 0.4098 | - | | 1.1626 | 2725 | 0.4597 | - | | 1.1647 | 2730 | 0.4558 | - | | 1.1668 | 2735 | 0.4923 | - | | 1.1690 | 2740 | 0.5261 | - | | 1.1711 | 2745 | 0.5161 | - | | 1.1732 | 2750 | 0.524 | - | | 1.1754 | 2755 | 0.4531 | - | | 1.1775 | 2760 | 0.5125 | - | | 1.1796 | 2765 | 0.5122 | - | | 1.1818 | 2770 | 0.4124 | - | | 1.1839 | 2775 | 0.7222 | - | | 1.1860 | 2780 | 0.4534 | - | | 1.1882 | 2785 | 0.5466 | - | | 1.1903 | 2790 | 0.5265 | - | | 1.1924 | 2795 | 0.4826 | - | | 1.1946 | 2800 | 0.3948 | - | | 1.1967 | 2805 | 0.5772 | - | | 1.1988 | 2810 | 0.4961 | - | | 1.2010 | 2815 | 0.4958 | - | | 1.2031 | 2820 | 0.4373 | - | | 1.2052 | 2825 | 0.4558 | - | | 1.2074 | 2830 | 0.5777 | - | | 1.2095 | 2835 | 0.4237 | - | | 1.2116 | 2840 | 0.435 | - | | 1.2138 | 2845 | 0.5261 | - | | 1.2159 | 2850 | 0.486 | - | | 1.2180 | 2855 | 0.4067 | - | | 1.2202 | 2860 | 0.5407 | - | | 1.2223 | 2865 | 0.4533 | - | | 1.2245 | 2870 | 0.4071 | - | | 1.2266 | 2875 | 0.591 | - | | 1.2287 | 2880 | 0.6181 | - | | 1.2309 | 2885 | 0.4433 | - | | 1.2330 | 2890 | 0.4551 | - | | 1.2351 | 2895 | 0.4241 | - | | 1.2373 | 2900 | 0.4712 | - | | 1.2394 | 2905 | 0.4937 | - | | 1.2415 | 2910 | 0.5162 | - | | 1.2437 | 2915 | 0.4604 | - | | 1.2458 | 2920 | 0.5275 | - | | 1.2479 | 2925 | 0.4295 | - | | 1.2501 | 2930 | 0.3889 | - | | 1.2522 | 2935 | 0.4719 | - | | 1.2543 | 2940 | 0.4852 | - | | 1.2565 | 2945 | 0.4006 | - | | 1.2586 | 2950 | 0.4696 | - | | 1.2607 | 2955 | 0.426 | - | | 1.2629 | 2960 | 0.4443 | - | | 1.2650 | 2965 | 0.4202 | - | | 1.2671 | 2970 | 0.4982 | - | | 1.2693 | 2975 | 0.4503 | - | | 1.2714 | 2980 | 0.4007 | - | | 1.2735 | 2985 | 0.4376 | - | | 1.2757 | 2990 | 0.4763 | - | | 1.2778 | 2995 | 0.4709 | - | | 1.2799 | 3000 | 0.5067 | - | | 1.2821 | 3005 | 0.4276 | - | | 1.2842 | 3010 | 0.4038 | - | | 1.2863 | 3015 | 0.5393 | - | | 1.2885 | 3020 | 0.4085 | - | | 1.2906 | 3025 | 0.415 | - | | 1.2927 | 3030 | 0.5042 | - | | 1.2949 | 3035 | 0.6117 | - | | 1.2970 | 3040 | 0.4961 | - | | 1.2991 | 3045 | 0.4577 | - | | 1.3013 | 3050 | 0.4806 | - | | 1.3034 | 3055 | 0.5106 | - | | 1.3055 | 3060 | 0.4831 | - | | 1.3077 | 3065 | 0.463 | - | | 1.3098 | 3070 | 0.562 | - | | 1.3119 | 3075 | 0.407 | - | | 1.3141 | 3080 | 0.371 | - | | 1.3162 | 3085 | 0.4977 | - | | 1.3183 | 3090 | 0.4592 | - | | 1.3205 | 3095 | 0.4373 | - | | 1.3226 | 3100 | 0.41 | - | | 1.3247 | 3105 | 0.4909 | - | | 1.3269 | 3110 | 0.4441 | - | | 1.3290 | 3115 | 0.4104 | - | | 1.3311 | 3120 | 0.5863 | - | | 1.3333 | 3125 | 0.4861 | - | | 1.3354 | 3130 | 0.448 | - | | 1.3375 | 3135 | 0.4856 | - | | 1.3397 | 3140 | 0.4659 | - | | 1.3418 | 3145 | 0.4927 | - | | 1.3439 | 3150 | 0.3763 | - | | 1.3461 | 3155 | 0.3982 | - | | 1.3482 | 3160 | 0.4306 | - | | 1.3503 | 3165 | 0.4321 | - | | 1.3525 | 3170 | 0.4122 | - | | 1.3546 | 3175 | 0.4976 | - | | 1.3567 | 3180 | 0.468 | - | | 1.3589 | 3185 | 0.5257 | - | | 1.3610 | 3190 | 0.4232 | - | | 1.3631 | 3195 | 0.4477 | - | | 1.3653 | 3200 | 0.4556 | - | | 1.3674 | 3205 | 0.5006 | - | | 1.3695 | 3210 | 0.4101 | - | | 1.3717 | 3215 | 0.3969 | - | | 1.3738 | 3220 | 0.3966 | - | | 1.3759 | 3225 | 0.494 | - | | 1.3781 | 3230 | 0.4584 | - | | 1.3802 | 3235 | 0.5692 | - | | 1.3823 | 3240 | 0.44 | - | | 1.3845 | 3245 | 0.4181 | - | | 1.3866 | 3250 | 0.486 | - | | 1.3887 | 3255 | 0.4839 | - | | 1.3909 | 3260 | 0.4425 | - | | 1.3930 | 3265 | 0.4286 | - | | 1.3951 | 3270 | 0.4605 | - | | 1.3973 | 3275 | 0.4891 | - | | 1.3994 | 3280 | 0.4053 | - | | 1.4015 | 3285 | 0.4438 | - | | 1.4037 | 3290 | 0.4735 | - | | 1.4058 | 3295 | 0.5695 | - | | 1.4079 | 3300 | 0.464 | - | | 1.4101 | 3305 | 0.4787 | - | | 1.4122 | 3310 | 0.4302 | - | | 1.4143 | 3315 | 0.4341 | - | | 1.4165 | 3320 | 0.367 | - | | 1.4186 | 3325 | 0.4708 | - | | 1.4207 | 3330 | 0.4751 | - | | 1.4229 | 3335 | 0.4474 | - | | 1.4250 | 3340 | 0.4168 | - | | 1.4271 | 3345 | 0.4383 | - | | 1.4293 | 3350 | 0.438 | - | | 1.4314 | 3355 | 0.4385 | - | | 1.4335 | 3360 | 0.4577 | - | | 1.4357 | 3365 | 0.435 | - | | 1.4378 | 3370 | 0.4775 | - | | 1.4399 | 3375 | 0.4046 | - | | 1.4421 | 3380 | 0.4921 | - | | 1.4442 | 3385 | 0.4148 | - | | 1.4463 | 3390 | 0.4061 | - | | 1.4485 | 3395 | 0.3859 | - | | 1.4506 | 3400 | 0.5035 | - | | 1.4527 | 3405 | 0.4537 | - | | 1.4549 | 3410 | 0.4655 | - | | 1.4570 | 3415 | 0.3928 | - | | 1.4591 | 3420 | 0.4426 | - | | 1.4613 | 3425 | 0.506 | - | | 1.4634 | 3430 | 0.3835 | - | | 1.4655 | 3435 | 0.5111 | - | | 1.4677 | 3440 | 0.3948 | - | | 1.4698 | 3445 | 0.4282 | - | | 1.4719 | 3450 | 0.4408 | - | | 1.4741 | 3455 | 0.4192 | - | | 1.4762 | 3460 | 0.4471 | - | | 1.4783 | 3465 | 0.4319 | - | | 1.4805 | 3470 | 0.4367 | - | | 1.4826 | 3475 | 0.4216 | - | | 1.4847 | 3480 | 0.4344 | - | | 1.4869 | 3485 | 0.4263 | - | | 1.4890 | 3490 | 0.4619 | - | | 1.4911 | 3495 | 0.5105 | - | | 1.4933 | 3500 | 0.4722 | - | | 1.4954 | 3505 | 0.4152 | - | | 1.4975 | 3510 | 0.4017 | - | | 1.4997 | 3515 | 0.4496 | - | | 1.5018 | 3520 | 0.4965 | - | | 1.5039 | 3525 | 0.4009 | - | | 1.5061 | 3530 | 0.5115 | - | | 1.5082 | 3535 | 0.4007 | - | | 1.5103 | 3540 | 0.4195 | - | | 1.5125 | 3545 | 0.4412 | - | | 1.5146 | 3550 | 0.5177 | - | | 1.5167 | 3555 | 0.4553 | - | | 1.5189 | 3560 | 0.4378 | - | | 1.5210 | 3565 | 0.4296 | - | | 1.5231 | 3570 | 0.406 | - | | 1.5253 | 3575 | 0.4636 | - | | 1.5274 | 3580 | 0.4244 | - | | 1.5295 | 3585 | 0.5027 | - | | 1.5317 | 3590 | 0.4284 | - | | 1.5338 | 3595 | 0.3893 | - | | 1.5360 | 3600 | 0.515 | - | | 1.5381 | 3605 | 0.3867 | - | | 1.5402 | 3610 | 0.5842 | - | | 1.5424 | 3615 | 0.3753 | - | | 1.5445 | 3620 | 0.4834 | - | | 1.5466 | 3625 | 0.4547 | - | | 1.5488 | 3630 | 0.4224 | - | | 1.5509 | 3635 | 0.4341 | - | | 1.5530 | 3640 | 0.4038 | - | | 1.5552 | 3645 | 0.3606 | - | | 1.5573 | 3650 | 0.4427 | - | | 1.5594 | 3655 | 0.4919 | - | | 1.5616 | 3660 | 0.362 | - | | 1.5637 | 3665 | 0.4261 | - | | 1.5658 | 3670 | 0.4269 | - | | 1.5680 | 3675 | 0.4291 | - | | 1.5701 | 3680 | 0.3967 | - | | 1.5722 | 3685 | 0.4645 | - | | 1.5744 | 3690 | 0.4052 | - | | 1.5765 | 3695 | 0.4627 | - | | 1.5786 | 3700 | 0.3856 | - | | 1.5808 | 3705 | 0.4917 | - | | 1.5829 | 3710 | 0.4104 | - | | 1.5850 | 3715 | 0.3659 | - | | 1.5872 | 3720 | 0.5145 | - | | 1.5893 | 3725 | 0.433 | - | | 1.5914 | 3730 | 0.3861 | - | | 1.5936 | 3735 | 0.4274 | - | | 1.5957 | 3740 | 0.4857 | - | | 1.5978 | 3745 | 0.5526 | - | | 1.6000 | 3750 | 0.4052 | - | | 1.6021 | 3755 | 0.4087 | - | | 1.6042 | 3760 | 0.3831 | - | | 1.6064 | 3765 | 0.4532 | - | | 1.6085 | 3770 | 0.4158 | - | | 1.6106 | 3775 | 0.3978 | - | | 1.6128 | 3780 | 0.4082 | - | | 1.6149 | 3785 | 0.37 | - | | 1.6170 | 3790 | 0.4613 | - | | 1.6192 | 3795 | 0.4321 | - | | 1.6213 | 3800 | 0.4867 | - | | 1.6234 | 3805 | 0.4404 | - | | 1.6256 | 3810 | 0.4435 | - | | 1.6277 | 3815 | 0.4115 | - | | 1.6298 | 3820 | 0.4811 | - | | 1.6320 | 3825 | 0.4128 | - | | 1.6341 | 3830 | 0.4569 | - | | 1.6362 | 3835 | 0.4714 | - | | 1.6384 | 3840 | 0.3844 | - | | 1.6405 | 3845 | 0.3967 | - | | 1.6426 | 3850 | 0.3869 | - | | 1.6448 | 3855 | 0.4722 | - | | 1.6469 | 3860 | 0.3377 | - | | 1.6490 | 3865 | 0.4017 | - | | 1.6512 | 3870 | 0.3972 | - | | 1.6533 | 3875 | 0.4669 | - | | 1.6554 | 3880 | 0.4569 | - | | 1.6576 | 3885 | 0.4096 | - | | 1.6597 | 3890 | 0.4411 | - | | 1.6618 | 3895 | 0.4277 | - | | 1.6640 | 3900 | 0.3477 | - | | 1.6661 | 3905 | 0.4967 | - | | 1.6682 | 3910 | 0.371 | - | | 1.6704 | 3915 | 0.4501 | - | | 1.6725 | 3920 | 0.4275 | - | | 1.6746 | 3925 | 0.423 | - | | 1.6768 | 3930 | 0.4042 | - | | 1.6789 | 3935 | 0.4142 | - | | 1.6810 | 3940 | 0.4424 | - | | 1.6832 | 3945 | 0.4194 | - | | 1.6853 | 3950 | 0.456 | - | | 1.6874 | 3955 | 0.3881 | - | | 1.6896 | 3960 | 0.3924 | - | | 1.6917 | 3965 | 0.4241 | - | | 1.6938 | 3970 | 0.4007 | - | | 1.6960 | 3975 | 0.4394 | - | | 1.6981 | 3980 | 0.4414 | - | | 1.7002 | 3985 | 0.4157 | - | | 1.7024 | 3990 | 0.4267 | - | | 1.7045 | 3995 | 0.399 | - | | 1.7066 | 4000 | 0.4125 | - | | 1.7088 | 4005 | 0.4284 | - | | 1.7109 | 4010 | 0.3937 | - | | 1.7130 | 4015 | 0.4293 | - | | 1.7152 | 4020 | 0.4916 | - | | 1.7173 | 4025 | 0.3178 | - | | 1.7194 | 4030 | 0.4212 | - | | 1.7216 | 4035 | 0.4214 | - | | 1.7237 | 4040 | 0.4117 | - | | 1.7258 | 4045 | 0.4416 | - | | 1.7280 | 4050 | 0.4346 | - | | 1.7301 | 4055 | 0.4518 | - | | 1.7322 | 4060 | 0.4419 | - | | 1.7344 | 4065 | 0.4222 | - | | 1.7365 | 4070 | 0.4169 | - | | 1.7386 | 4075 | 0.4259 | - | | 1.7408 | 4080 | 0.3874 | - | | 1.7429 | 4085 | 0.4318 | - | | 1.7450 | 4090 | 0.4566 | - | | 1.7472 | 4095 | 0.4351 | - | | 1.7493 | 4100 | 0.5365 | - | | 1.7514 | 4105 | 0.3924 | - | | 1.7536 | 4110 | 0.4072 | - | | 1.7557 | 4115 | 0.4324 | - | | 1.7578 | 4120 | 0.3614 | - | | 1.7600 | 4125 | 0.4256 | - | | 1.7621 | 4130 | 0.4156 | - | | 1.7642 | 4135 | 0.4392 | - | | 1.7664 | 4140 | 0.3626 | - | | 1.7685 | 4145 | 0.4007 | - | | 1.7706 | 4150 | 0.4329 | - | | 1.7728 | 4155 | 0.4734 | - | | 1.7749 | 4160 | 0.3963 | - | | 1.7770 | 4165 | 0.3708 | - | | 1.7792 | 4170 | 0.385 | - | | 1.7813 | 4175 | 0.3566 | - | | 1.7834 | 4180 | 0.4153 | - | | 1.7856 | 4185 | 0.3932 | - | | 1.7877 | 4190 | 0.421 | - | | 1.7898 | 4195 | 0.411 | - | | 1.7920 | 4200 | 0.4133 | - | | 1.7941 | 4205 | 0.4671 | - | | 1.7962 | 4210 | 0.4151 | - | | 1.7984 | 4215 | 0.3906 | - | | 1.8005 | 4220 | 0.38 | - | | 1.8026 | 4225 | 0.4217 | - | | 1.8048 | 4230 | 0.391 | - | | 1.8069 | 4235 | 0.4046 | - | | 1.8090 | 4240 | 0.4448 | - | | 1.8112 | 4245 | 0.4197 | - | | 1.8133 | 4250 | 0.4442 | - | | 1.8154 | 4255 | 0.4299 | - | | 1.8176 | 4260 | 0.3981 | - | | 1.8197 | 4265 | 0.4499 | - | | 1.8218 | 4270 | 0.4081 | - | | 1.8240 | 4275 | 0.389 | - | | 1.8261 | 4280 | 0.4191 | - | | 1.8282 | 4285 | 0.3995 | - | | 1.8304 | 4290 | 0.3994 | - | | 1.8325 | 4295 | 0.4107 | - | | 1.8346 | 4300 | 0.3564 | - | | 1.8368 | 4305 | 0.403 | - | | 1.8389 | 4310 | 0.3079 | - | | 1.8410 | 4315 | 0.3903 | - | | 1.8432 | 4320 | 0.4295 | - | | 1.8453 | 4325 | 0.4108 | - | | 1.8475 | 4330 | 0.3975 | - | | 1.8496 | 4335 | 0.36 | - | | 1.8517 | 4340 | 0.3914 | - | | 1.8539 | 4345 | 0.3827 | - | | 1.8560 | 4350 | 0.4142 | - | | 1.8581 | 4355 | 0.3415 | - | | 1.8603 | 4360 | 0.3879 | - | | 1.8624 | 4365 | 0.4991 | - | | 1.8645 | 4370 | 0.3334 | - | | 1.8667 | 4375 | 0.3978 | - | | 1.8688 | 4380 | 0.4217 | - | | 1.8709 | 4385 | 0.4304 | - | | 1.8731 | 4390 | 0.3924 | - | | 1.8752 | 4395 | 0.4051 | - | | 1.8773 | 4400 | 0.4178 | - | | 1.8795 | 4405 | 0.3778 | - | | 1.8816 | 4410 | 0.3979 | - | | 1.8837 | 4415 | 0.3942 | - | | 1.8859 | 4420 | 0.3896 | - | | 1.8880 | 4425 | 0.4409 | - | | 1.8901 | 4430 | 0.4299 | - | | 1.8923 | 4435 | 0.399 | - | | 1.8944 | 4440 | 0.4148 | - | | 1.8965 | 4445 | 0.4501 | - | | 1.8987 | 4450 | 0.3909 | - | | 1.9008 | 4455 | 0.4316 | - | | 1.9029 | 4460 | 0.3662 | - | | 1.9051 | 4465 | 0.4446 | - | | 1.9072 | 4470 | 0.3931 | - | | 1.9093 | 4475 | 0.3947 | - | | 1.9115 | 4480 | 0.3415 | - | | 1.9136 | 4485 | 0.3661 | - | | 1.9157 | 4490 | 0.3743 | - | | 1.9179 | 4495 | 0.3918 | - | | 1.9200 | 4500 | 0.3459 | - | | 1.9221 | 4505 | 0.3944 | - | | 1.9243 | 4510 | 0.3727 | - | | 1.9264 | 4515 | 0.3956 | - | | 1.9285 | 4520 | 0.4233 | - | | 1.9307 | 4525 | 0.3929 | - | | 1.9328 | 4530 | 0.4206 | - | | 1.9349 | 4535 | 0.3835 | - | | 1.9371 | 4540 | 0.459 | - | | 1.9392 | 4545 | 0.4094 | - | | 1.9413 | 4550 | 0.3996 | - | | 1.9435 | 4555 | 0.4309 | - | | 1.9456 | 4560 | 0.3579 | - | | 1.9477 | 4565 | 0.4028 | - | | 1.9499 | 4570 | 0.3659 | - | | 1.9520 | 4575 | 0.3697 | - | | 1.9541 | 4580 | 0.3926 | - | | 1.9563 | 4585 | 0.3827 | - | | 1.9584 | 4590 | 0.4603 | - | | 1.9605 | 4595 | 0.4473 | - | | 1.9627 | 4600 | 0.4027 | - | | 1.9648 | 4605 | 0.4164 | - | | 1.9669 | 4610 | 0.4502 | - | | 1.9691 | 4615 | 0.3708 | - | | 1.9712 | 4620 | 0.3747 | - | | 1.9733 | 4625 | 0.3385 | - | | 1.9755 | 4630 | 0.3845 | - | | 1.9776 | 4635 | 0.4506 | - | | 1.9797 | 4640 | 0.3889 | - | | 1.9819 | 4645 | 0.4104 | - | | 1.9840 | 4650 | 0.4283 | - | | 1.9861 | 4655 | 0.3305 | - | | 1.9883 | 4660 | 0.393 | - | | 1.9904 | 4665 | 0.416 | - | | 1.9925 | 4670 | 0.3541 | - | | 1.9947 | 4675 | 0.4027 | - | | 1.9968 | 4680 | 0.3685 | - | | 1.9989 | 4685 | 0.3796 | - | | 2.0 | 4688 | - | 0.1772 | | 2.0009 | 4690 | 0.3541 | - | | 2.0030 | 4695 | 0.4464 | - | | 2.0051 | 4700 | 0.3864 | - | | 2.0073 | 4705 | 0.3213 | - | | 2.0094 | 4710 | 0.3773 | - | | 2.0115 | 4715 | 0.4576 | - | | 2.0137 | 4720 | 0.3428 | - | | 2.0158 | 4725 | 0.4218 | - | | 2.0179 | 4730 | 0.4831 | - | | 2.0201 | 4735 | 0.4228 | - | | 2.0222 | 4740 | 0.3894 | - | | 2.0243 | 4745 | 0.4975 | - | | 2.0265 | 4750 | 0.3693 | - | | 2.0286 | 4755 | 0.3899 | - | | 2.0307 | 4760 | 0.365 | - | | 2.0329 | 4765 | 0.4794 | - | | 2.0350 | 4770 | 0.4105 | - | | 2.0371 | 4775 | 0.4166 | - | | 2.0393 | 4780 | 0.3861 | - | | 2.0414 | 4785 | 0.4576 | - | | 2.0435 | 4790 | 0.4476 | - | | 2.0457 | 4795 | 0.4411 | - | | 2.0478 | 4800 | 0.3745 | - | | 2.0499 | 4805 | 0.5016 | - | | 2.0521 | 4810 | 0.4101 | - | | 2.0542 | 4815 | 0.4508 | - | | 2.0563 | 4820 | 0.4173 | - | | 2.0585 | 4825 | 0.4008 | - | | 2.0606 | 4830 | 0.4128 | - | | 2.0627 | 4835 | 0.4003 | - | | 2.0649 | 4840 | 0.389 | - | | 2.0670 | 4845 | 0.3549 | - | | 2.0691 | 4850 | 0.4706 | - | | 2.0713 | 4855 | 0.398 | - | | 2.0734 | 4860 | 0.3775 | - | | 2.0755 | 4865 | 0.4547 | - | | 2.0777 | 4870 | 0.4048 | - | | 2.0798 | 4875 | 0.4562 | - | | 2.0819 | 4880 | 0.4327 | - | | 2.0841 | 4885 | 0.49 | - | | 2.0862 | 4890 | 0.3935 | - | | 2.0883 | 4895 | 0.3395 | - | | 2.0905 | 4900 | 0.4126 | - | | 2.0926 | 4905 | 0.5132 | - | | 2.0947 | 4910 | 0.4168 | - | | 2.0969 | 4915 | 0.4265 | - | | 2.0990 | 4920 | 0.4056 | - | | 2.1011 | 4925 | 0.391 | - | | 2.1033 | 4930 | 0.452 | - | | 2.1054 | 4935 | 0.3674 | - | | 2.1075 | 4940 | 0.4484 | - | | 2.1097 | 4945 | 0.4447 | - | | 2.1118 | 4950 | 0.4224 | - | | 2.1139 | 4955 | 0.4074 | - | | 2.1161 | 4960 | 0.4031 | - | | 2.1182 | 4965 | 0.4308 | - | | 2.1203 | 4970 | 0.5257 | - | | 2.1225 | 4975 | 0.4075 | - | | 2.1246 | 4980 | 0.3787 | - | | 2.1267 | 4985 | 0.415 | - | | 2.1289 | 4990 | 0.4389 | - | | 2.1310 | 4995 | 0.4248 | - | | 2.1331 | 5000 | 0.4361 | - | | 2.1353 | 5005 | 0.3702 | - | | 2.1374 | 5010 | 0.397 | - | | 2.1395 | 5015 | 0.4284 | - | | 2.1417 | 5020 | 0.3721 | - | | 2.1438 | 5025 | 0.3834 | - | | 2.1459 | 5030 | 0.3937 | - | | 2.1481 | 5035 | 0.3983 | - | | 2.1502 | 5040 | 0.3478 | - | | 2.1523 | 5045 | 0.4092 | - | | 2.1545 | 5050 | 0.4197 | - | | 2.1566 | 5055 | 0.38 | - | | 2.1587 | 5060 | 0.3638 | - | | 2.1609 | 5065 | 0.4944 | - | | 2.1630 | 5070 | 0.4456 | - | | 2.1651 | 5075 | 0.4251 | - | | 2.1673 | 5080 | 0.4029 | - | | 2.1694 | 5085 | 0.3532 | - | | 2.1715 | 5090 | 0.3824 | - | | 2.1737 | 5095 | 0.4084 | - | | 2.1758 | 5100 | 0.4154 | - | | 2.1779 | 5105 | 0.3933 | - | | 2.1801 | 5110 | 0.392 | - | | 2.1822 | 5115 | 0.3911 | - | | 2.1843 | 5120 | 0.338 | - | | 2.1865 | 5125 | 0.3823 | - | | 2.1886 | 5130 | 0.4173 | - | | 2.1907 | 5135 | 0.3648 | - | | 2.1929 | 5140 | 0.4877 | - | | 2.1950 | 5145 | 0.4069 | - | | 2.1971 | 5150 | 0.447 | - | | 2.1993 | 5155 | 0.4186 | - | | 2.2014 | 5160 | 0.4088 | - | | 2.2035 | 5165 | 0.5046 | - | | 2.2057 | 5170 | 0.409 | - | | 2.2078 | 5175 | 0.4102 | - | | 2.2099 | 5180 | 0.4145 | - | | 2.2121 | 5185 | 0.4229 | - | | 2.2142 | 5190 | 0.4613 | - | | 2.2163 | 5195 | 0.413 | - | | 2.2185 | 5200 | 0.3725 | - | | 2.2206 | 5205 | 0.4417 | - | | 2.2227 | 5210 | 0.3696 | - | | 2.2249 | 5215 | 0.4294 | - | | 2.2270 | 5220 | 0.4408 | - | | 2.2291 | 5225 | 0.4007 | - | | 2.2313 | 5230 | 0.4927 | - | | 2.2334 | 5235 | 0.3488 | - | | 2.2355 | 5240 | 0.4898 | - | | 2.2377 | 5245 | 0.43 | - | | 2.2398 | 5250 | 0.4281 | - | | 2.2419 | 5255 | 0.4307 | - | | 2.2441 | 5260 | 0.4487 | - | | 2.2462 | 5265 | 0.4379 | - | | 2.2483 | 5270 | 0.3901 | - | | 2.2505 | 5275 | 0.4434 | - | | 2.2526 | 5280 | 0.3758 | - | | 2.2547 | 5285 | 0.3693 | - | | 2.2569 | 5290 | 0.3965 | - | | 2.2590 | 5295 | 0.3508 | - | | 2.2611 | 5300 | 0.4771 | - | | 2.2633 | 5305 | 0.3601 | - | | 2.2654 | 5310 | 0.4161 | - | | 2.2675 | 5315 | 0.4813 | - | | 2.2697 | 5320 | 0.3715 | - | | 2.2718 | 5325 | 0.3873 | - | | 2.2739 | 5330 | 0.4092 | - | | 2.2761 | 5335 | 0.4073 | - | | 2.2782 | 5340 | 0.3975 | - | | 2.2803 | 5345 | 0.3485 | - | | 2.2825 | 5350 | 0.3857 | - | | 2.2846 | 5355 | 0.3158 | - | | 2.2868 | 5360 | 0.4476 | - | | 2.2889 | 5365 | 0.4784 | - | | 2.2910 | 5370 | 0.4499 | - | | 2.2932 | 5375 | 0.3852 | - | | 2.2953 | 5380 | 0.4927 | - | | 2.2974 | 5385 | 0.5091 | - | | 2.2996 | 5390 | 0.4201 | - | | 2.3017 | 5395 | 0.406 | - | | 2.3038 | 5400 | 0.3989 | - | | 2.3060 | 5405 | 0.4134 | - | | 2.3081 | 5410 | 0.4595 | - | | 2.3102 | 5415 | 0.4157 | - | | 2.3124 | 5420 | 0.4703 | - | | 2.3145 | 5425 | 0.4543 | - | | 2.3166 | 5430 | 0.4207 | - | | 2.3188 | 5435 | 0.4049 | - | | 2.3209 | 5440 | 0.4193 | - | | 2.3230 | 5445 | 0.3917 | - | | 2.3252 | 5450 | 0.4742 | - | | 2.3273 | 5455 | 0.3965 | - | | 2.3294 | 5460 | 0.3876 | - | | 2.3316 | 5465 | 0.4568 | - | | 2.3337 | 5470 | 0.418 | - | | 2.3358 | 5475 | 0.3959 | - | | 2.3380 | 5480 | 0.4605 | - | | 2.3401 | 5485 | 0.3838 | - | | 2.3422 | 5490 | 0.4498 | - | | 2.3444 | 5495 | 0.4091 | - | | 2.3465 | 5500 | 0.3803 | - | | 2.3486 | 5505 | 0.3776 | - | | 2.3508 | 5510 | 0.4464 | - | | 2.3529 | 5515 | 0.461 | - | | 2.3550 | 5520 | 0.4251 | - | | 2.3572 | 5525 | 0.3529 | - | | 2.3593 | 5530 | 0.3897 | - | | 2.3614 | 5535 | 0.3916 | - | | 2.3636 | 5540 | 0.3637 | - | | 2.3657 | 5545 | 0.387 | - | | 2.3678 | 5550 | 0.3847 | - | | 2.3700 | 5555 | 0.4186 | - | | 2.3721 | 5560 | 0.4446 | - | | 2.3742 | 5565 | 0.3906 | - | | 2.3764 | 5570 | 0.3741 | - | | 2.3785 | 5575 | 0.385 | - | | 2.3806 | 5580 | 0.3454 | - | | 2.3828 | 5585 | 0.4328 | - | | 2.3849 | 5590 | 0.3027 | - | | 2.3870 | 5595 | 0.3366 | - | | 2.3892 | 5600 | 0.4076 | - | | 2.3913 | 5605 | 0.3898 | - | | 2.3934 | 5610 | 0.3639 | - | | 2.3956 | 5615 | 0.4414 | - | | 2.3977 | 5620 | 0.3376 | - | | 2.3998 | 5625 | 0.3839 | - | | 2.4020 | 5630 | 0.3679 | - | | 2.4041 | 5635 | 0.3895 | - | | 2.4062 | 5640 | 0.3644 | - | | 2.4084 | 5645 | 0.4035 | - | | 2.4105 | 5650 | 0.5727 | - | | 2.4126 | 5655 | 0.4091 | - | | 2.4148 | 5660 | 0.4028 | - | | 2.4169 | 5665 | 0.4611 | - | | 2.4190 | 5670 | 0.4054 | - | | 2.4212 | 5675 | 0.489 | - | | 2.4233 | 5680 | 0.3478 | - | | 2.4254 | 5685 | 0.3713 | - | | 2.4276 | 5690 | 0.4119 | - | | 2.4297 | 5695 | 0.4012 | - | | 2.4318 | 5700 | 0.3511 | - | | 2.4340 | 5705 | 0.466 | - | | 2.4361 | 5710 | 0.4053 | - | | 2.4382 | 5715 | 0.3865 | - | | 2.4404 | 5720 | 0.3319 | - | | 2.4425 | 5725 | 0.3993 | - | | 2.4446 | 5730 | 0.4318 | - | | 2.4468 | 5735 | 0.4326 | - | | 2.4489 | 5740 | 0.3337 | - | | 2.4510 | 5745 | 0.3598 | - | | 2.4532 | 5750 | 0.3828 | - | | 2.4553 | 5755 | 0.3431 | - | | 2.4574 | 5760 | 0.4396 | - | | 2.4596 | 5765 | 0.3572 | - | | 2.4617 | 5770 | 0.3988 | - | | 2.4638 | 5775 | 0.4699 | - | | 2.4660 | 5780 | 0.4798 | - | | 2.4681 | 5785 | 0.4607 | - | | 2.4702 | 5790 | 0.3383 | - | | 2.4724 | 5795 | 0.3431 | - | | 2.4745 | 5800 | 0.4159 | - | | 2.4766 | 5805 | 0.5409 | - | | 2.4788 | 5810 | 0.4068 | - | | 2.4809 | 5815 | 0.4264 | - | | 2.4830 | 5820 | 0.4537 | - | | 2.4852 | 5825 | 0.3723 | - | | 2.4873 | 5830 | 0.3822 | - | | 2.4894 | 5835 | 0.3885 | - | | 2.4916 | 5840 | 0.3656 | - | | 2.4937 | 5845 | 0.4383 | - | | 2.4958 | 5850 | 0.3617 | - | | 2.4980 | 5855 | 0.3459 | - | | 2.5001 | 5860 | 0.4128 | - | | 2.5022 | 5865 | 0.347 | - | | 2.5044 | 5870 | 0.414 | - | | 2.5065 | 5875 | 0.3732 | - | | 2.5086 | 5880 | 0.3981 | - | | 2.5108 | 5885 | 0.3326 | - | | 2.5129 | 5890 | 0.4446 | - | | 2.5150 | 5895 | 0.3966 | - | | 2.5172 | 5900 | 0.3961 | - | | 2.5193 | 5905 | 0.3975 | - | | 2.5214 | 5910 | 0.4075 | - | | 2.5236 | 5915 | 0.3733 | - | | 2.5257 | 5920 | 0.4036 | - | | 2.5278 | 5925 | 0.3915 | - | | 2.5300 | 5930 | 0.4529 | - | | 2.5321 | 5935 | 0.3848 | - | | 2.5342 | 5940 | 0.4371 | - | | 2.5364 | 5945 | 0.374 | - | | 2.5385 | 5950 | 0.4176 | - | | 2.5406 | 5955 | 0.3825 | - | | 2.5428 | 5960 | 0.3904 | - | | 2.5449 | 5965 | 0.3464 | - | | 2.5470 | 5970 | 0.3689 | - | | 2.5492 | 5975 | 0.4211 | - | | 2.5513 | 5980 | 0.3731 | - | | 2.5534 | 5985 | 0.3762 | - | | 2.5556 | 5990 | 0.3827 | - | | 2.5577 | 5995 | 0.3539 | - | | 2.5598 | 6000 | 0.4552 | - | | 2.5620 | 6005 | 0.3902 | - | | 2.5641 | 6010 | 0.3735 | - | | 2.5662 | 6015 | 0.4999 | - | | 2.5684 | 6020 | 0.3277 | - | | 2.5705 | 6025 | 0.3806 | - | | 2.5726 | 6030 | 0.423 | - | | 2.5748 | 6035 | 0.4111 | - | | 2.5769 | 6040 | 0.3823 | - | | 2.5790 | 6045 | 0.4564 | - | | 2.5812 | 6050 | 0.4409 | - | | 2.5833 | 6055 | 0.4298 | - | | 2.5854 | 6060 | 0.4348 | - | | 2.5876 | 6065 | 0.3997 | - | | 2.5897 | 6070 | 0.4664 | - | | 2.5918 | 6075 | 0.4231 | - | | 2.5940 | 6080 | 0.3717 | - | | 2.5961 | 6085 | 0.4009 | - | | 2.5983 | 6090 | 0.3993 | - | | 2.6004 | 6095 | 0.3631 | - | | 2.6025 | 6100 | 0.405 | - | | 2.6047 | 6105 | 0.3838 | - | | 2.6068 | 6110 | 0.4622 | - | | 2.6089 | 6115 | 0.5596 | - | | 2.6111 | 6120 | 0.4108 | - | | 2.6132 | 6125 | 0.4462 | - | | 2.6153 | 6130 | 0.3573 | - | | 2.6175 | 6135 | 0.4009 | - | | 2.6196 | 6140 | 0.4118 | - | | 2.6217 | 6145 | 0.3667 | - | | 2.6239 | 6150 | 0.3552 | - | | 2.6260 | 6155 | 0.4853 | - | | 2.6281 | 6160 | 0.4286 | - | | 2.6303 | 6165 | 0.4329 | - | | 2.6324 | 6170 | 0.375 | - | | 2.6345 | 6175 | 0.4039 | - | | 2.6367 | 6180 | 0.4411 | - | | 2.6388 | 6185 | 0.3401 | - | | 2.6409 | 6190 | 0.4211 | - | | 2.6431 | 6195 | 0.4059 | - | | 2.6452 | 6200 | 0.3441 | - | | 2.6473 | 6205 | 0.3342 | - | | 2.6495 | 6210 | 0.3825 | - | | 2.6516 | 6215 | 0.4421 | - | | 2.6537 | 6220 | 0.3765 | - | | 2.6559 | 6225 | 0.3601 | - | | 2.6580 | 6230 | 0.397 | - | | 2.6601 | 6235 | 0.4327 | - | | 2.6623 | 6240 | 0.3815 | - | | 2.6644 | 6245 | 0.4483 | - | | 2.6665 | 6250 | 0.3829 | - | | 2.6687 | 6255 | 0.4072 | - | | 2.6708 | 6260 | 0.3995 | - | | 2.6729 | 6265 | 0.3702 | - | | 2.6751 | 6270 | 0.3905 | - | | 2.6772 | 6275 | 0.4461 | - | | 2.6793 | 6280 | 0.3363 | - | | 2.6815 | 6285 | 0.3668 | - | | 2.6836 | 6290 | 0.3367 | - | | 2.6857 | 6295 | 0.3845 | - | | 2.6879 | 6300 | 0.3561 | - | | 2.6900 | 6305 | 0.3932 | - | | 2.6921 | 6310 | 0.4074 | - | | 2.6943 | 6315 | 0.3642 | - | | 2.6964 | 6320 | 0.3365 | - | | 2.6985 | 6325 | 0.3501 | - | | 2.7007 | 6330 | 0.3824 | - | | 2.7028 | 6335 | 0.4223 | - | | 2.7049 | 6340 | 0.3694 | - | | 2.7071 | 6345 | 0.4587 | - | | 2.7092 | 6350 | 0.3643 | - | | 2.7113 | 6355 | 0.3443 | - | | 2.7135 | 6360 | 0.3883 | - | | 2.7156 | 6365 | 0.3858 | - | | 2.7177 | 6370 | 0.3656 | - | | 2.7199 | 6375 | 0.3921 | - | | 2.7220 | 6380 | 0.3966 | - | | 2.7241 | 6385 | 0.4512 | - | | 2.7263 | 6390 | 0.36 | - | | 2.7284 | 6395 | 0.4329 | - | | 2.7305 | 6400 | 0.3722 | - | | 2.7327 | 6405 | 0.3646 | - | | 2.7348 | 6410 | 0.393 | - | | 2.7369 | 6415 | 0.4266 | - | | 2.7391 | 6420 | 0.363 | - | | 2.7412 | 6425 | 0.3979 | - | | 2.7433 | 6430 | 0.379 | - | | 2.7455 | 6435 | 0.3853 | - | | 2.7476 | 6440 | 0.3632 | - | | 2.7497 | 6445 | 0.4081 | - | | 2.7519 | 6450 | 0.4033 | - | | 2.7540 | 6455 | 0.3946 | - | | 2.7561 | 6460 | 0.3884 | - | | 2.7583 | 6465 | 0.4043 | - | | 2.7604 | 6470 | 0.3765 | - | | 2.7625 | 6475 | 0.4379 | - | | 2.7647 | 6480 | 0.3688 | - | | 2.7668 | 6485 | 0.351 | - | | 2.7689 | 6490 | 0.3465 | - | | 2.7711 | 6495 | 0.424 | - | | 2.7732 | 6500 | 0.3487 | - | | 2.7753 | 6505 | 0.343 | - | | 2.7775 | 6510 | 0.3745 | - | | 2.7796 | 6515 | 0.3482 | - | | 2.7817 | 6520 | 0.419 | - | | 2.7839 | 6525 | 0.4107 | - | | 2.7860 | 6530 | 0.3103 | - | | 2.7881 | 6535 | 0.3836 | - | | 2.7903 | 6540 | 0.3736 | - | | 2.7924 | 6545 | 0.3926 | - | | 2.7945 | 6550 | 0.384 | - | | 2.7967 | 6555 | 0.3862 | - | | 2.7988 | 6560 | 0.41 | - | | 2.8009 | 6565 | 0.4223 | - | | 2.8031 | 6570 | 0.385 | - | | 2.8052 | 6575 | 0.3875 | - | | 2.8073 | 6580 | 0.3847 | - | | 2.8095 | 6585 | 0.4115 | - | | 2.8116 | 6590 | 0.3578 | - | | 2.8137 | 6595 | 0.3868 | - | | 2.8159 | 6600 | 0.3581 | - | | 2.8180 | 6605 | 0.3467 | - | | 2.8201 | 6610 | 0.3521 | - | | 2.8223 | 6615 | 0.3841 | - | | 2.8244 | 6620 | 0.3963 | - | | 2.8265 | 6625 | 0.4293 | - | | 2.8287 | 6630 | 0.4127 | - | | 2.8308 | 6635 | 0.3977 | - | | 2.8329 | 6640 | 0.3416 | - | | 2.8351 | 6645 | 0.4633 | - | | 2.8372 | 6650 | 0.3987 | - | | 2.8393 | 6655 | 0.3409 | - | | 2.8415 | 6660 | 0.4259 | - | | 2.8436 | 6665 | 0.3581 | - | | 2.8457 | 6670 | 0.439 | - | | 2.8479 | 6675 | 0.4366 | - | | 2.8500 | 6680 | 0.3568 | - | | 2.8521 | 6685 | 0.4044 | - | | 2.8543 | 6690 | 0.3394 | - | | 2.8564 | 6695 | 0.3631 | - | | 2.8585 | 6700 | 0.3771 | - | | 2.8607 | 6705 | 0.3673 | - | | 2.8628 | 6710 | 0.431 | - | | 2.8649 | 6715 | 0.3884 | - | | 2.8671 | 6720 | 0.3317 | - | | 2.8692 | 6725 | 0.4444 | - | | 2.8713 | 6730 | 0.3629 | - | | 2.8735 | 6735 | 0.3985 | - | | 2.8756 | 6740 | 0.3658 | - | | 2.8777 | 6745 | 0.4409 | - | | 2.8799 | 6750 | 0.3299 | - | | 2.8820 | 6755 | 0.4275 | - | | 2.8841 | 6760 | 0.398 | - | | 2.8863 | 6765 | 0.4017 | - | | 2.8884 | 6770 | 0.4163 | - | | 2.8905 | 6775 | 0.4025 | - | | 2.8927 | 6780 | 0.4233 | - | | 2.8948 | 6785 | 0.4032 | - | | 2.8969 | 6790 | 0.3724 | - | | 2.8991 | 6795 | 0.3426 | - | | 2.9012 | 6800 | 0.4207 | - | | 2.9033 | 6805 | 0.394 | - | | 2.9055 | 6810 | 0.3566 | - | | 2.9076 | 6815 | 0.3491 | - | | 2.9098 | 6820 | 0.4027 | - | | 2.9119 | 6825 | 0.3844 | - | | 2.9140 | 6830 | 0.3469 | - | | 2.9162 | 6835 | 0.368 | - | | 2.9183 | 6840 | 0.3673 | - | | 2.9204 | 6845 | 0.3668 | - | | 2.9226 | 6850 | 0.3892 | - | | 2.9247 | 6855 | 0.3819 | - | | 2.9268 | 6860 | 0.3969 | - | | 2.9290 | 6865 | 0.3556 | - | | 2.9311 | 6870 | 0.3972 | - | | 2.9332 | 6875 | 0.3881 | - | | 2.9354 | 6880 | 0.3569 | - | | 2.9375 | 6885 | 0.3775 | - | | 2.9396 | 6890 | 0.3723 | - | | 2.9418 | 6895 | 0.4026 | - | | 2.9439 | 6900 | 0.3598 | - | | 2.9460 | 6905 | 0.396 | - | | 2.9482 | 6910 | 0.4212 | - | | 2.9503 | 6915 | 0.3016 | - | | 2.9524 | 6920 | 0.3691 | - | | 2.9546 | 6925 | 0.4057 | - | | 2.9567 | 6930 | 0.3758 | - | | 2.9588 | 6935 | 0.4074 | - | | 2.9610 | 6940 | 0.3908 | - | | 2.9631 | 6945 | 0.3797 | - | | 2.9652 | 6950 | 0.3643 | - | | 2.9674 | 6955 | 0.3865 | - | | 2.9695 | 6960 | 0.3911 | - | | 2.9716 | 6965 | 0.3594 | - | | 2.9738 | 6970 | 0.3772 | - | | 2.9759 | 6975 | 0.405 | - | | 2.9780 | 6980 | 0.3537 | - | | 2.9802 | 6985 | 0.3708 | - | | 2.9823 | 6990 | 0.3649 | - | | 2.9844 | 6995 | 0.3878 | - | | 2.9866 | 7000 | 0.3452 | - | | 2.9887 | 7005 | 0.3655 | - | | 2.9908 | 7010 | 0.3878 | - | | 2.9930 | 7015 | 0.3704 | - | | 2.9951 | 7020 | 0.3715 | - | | 2.9972 | 7025 | 0.3896 | - | | 2.9994 | 7030 | 0.4088 | - | | 3.0 | 7032 | - | 0.1704 |
### Framework Versions - Python: 3.11.13 - Sentence Transformers: 5.1.1 - PyLate: 1.3.4 - Transformers: 4.56.2 - PyTorch: 2.8.0+cu128 - Accelerate: 1.12.0 - Datasets: 4.4.1 - Tokenizers: 0.22.1 ## Citation ### BibTeX #### Sentence Transformers ```bibtex @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" } ``` #### PyLate ```bibtex @misc{PyLate, title={PyLate: Flexible Training and Retrieval for Late Interaction Models}, author={Chaffin, Antoine and Sourty, Raphaƫl}, url={https://github.com/lightonai/pylate}, year={2024} } ```