diff --git "a/README.md" "b/README.md" new file mode 100644--- /dev/null +++ "b/README.md" @@ -0,0 +1,1673 @@ +--- +tags: +- sentence-transformers +- sentence-similarity +- feature-extraction +- dense +- generated_from_trainer +- dataset_size:10246566 +- loss:MultipleNegativesSymmetricRankingLoss +widget: +- source_sentence: Гитары всех типов доступны на сайте Crazysound.by. + sentences: + - Но Тимофей знал, что его напарник вовсе не сумасшедший. + - Самые дешевые продают в Волгограде и Ярославле - 15 рублей за штуку. + - Во встрече также приняли участие первый заместитель Премьер-министра Правительства + РБ , министр финансов республики Айрат Гаскаров , глава представительства ЕБРР + по Приволжскому федеральному округу Михаэль Хоффман и другие . +- source_sentence: Ошо арҡала бик ныҡ арыу һәм хәлһеҙлек хисе тыуа, аяҡтар бүрәнәгә + әйләнә. + sentences: + - Это вызывает резко появляющееся чувство сильнейшей усталости и бессилия, «упирание + в стену». + - — Скоро другую песню запоешь. В другом месте. + - По окончании учёбы в Санкт-Петербурге вернулся в Вильну. +- source_sentence: Йәрминкәләрҙә 48 райондан килгән ауыл хужалығы тауарҙарын етештереүселәр + ҡатнашты . + sentences: + - Используя эту информацию, выскажите предположения, к каким последствиям может + привести шум в лесу. + - Семья Зайнетдиновых из Уфы завоевала победу на Международном конкурсе в Турции + - В ярмарках приняли участие сельхозтоваропроизводители из 48 муниципальных районов + . +- source_sentence: Ә бынан барыбыҙ ҙа отасаҡбыҙ ғына. + sentences: + - Мы все находимся под огнем. + - 'Ему вторила бабка Суакай:' + - Ведь есть такое понятие, как судьба. +- source_sentence: 19.Башҡортостан Республикаһында ниндәй милләттәр йәшәй? + sentences: + - Какие экономические реформы были проведены в России в XIX веке? + - Рон с семьей прибыли утром. + - Валерий Газзаев также отметил, что сегодня футбол не просто является спортом. +pipeline_tag: sentence-similarity +library_name: sentence-transformers +metrics: +- pearson_cosine +- spearman_cosine +- cosine_accuracy@1 +- cosine_accuracy@3 +- cosine_accuracy@5 +- cosine_accuracy@10 +- cosine_precision@1 +- cosine_precision@3 +- cosine_precision@5 +- cosine_precision@10 +- cosine_recall@1 +- cosine_recall@3 +- cosine_recall@5 +- cosine_recall@10 +- cosine_ndcg@10 +- cosine_mrr@10 +- cosine_map@100 +model-index: +- name: SentenceTransformer + results: + - task: + type: semantic-similarity + name: Semantic Similarity + dataset: + name: STS + type: STS + metrics: + - type: pearson_cosine + value: 0.7476384738536787 + name: Pearson Cosine + - type: spearman_cosine + value: 0.7461126783865649 + name: Spearman Cosine + - task: + type: information-retrieval + name: Information Retrieval + dataset: + name: IR + type: IR + metrics: + - type: cosine_accuracy@1 + value: 0.1359338061465721 + name: Cosine Accuracy@1 + - type: cosine_accuracy@3 + value: 0.2541371158392435 + name: Cosine Accuracy@3 + - type: cosine_accuracy@5 + value: 0.32742316784869974 + name: Cosine Accuracy@5 + - type: cosine_accuracy@10 + value: 0.41725768321513 + name: Cosine Accuracy@10 + - type: cosine_precision@1 + value: 0.1359338061465721 + name: Cosine Precision@1 + - type: cosine_precision@3 + value: 0.09318360914105595 + name: Cosine Precision@3 + - type: cosine_precision@5 + value: 0.07541371158392436 + name: Cosine Precision@5 + - type: cosine_precision@10 + value: 0.050413711583924346 + name: Cosine Precision@10 + - type: cosine_recall@1 + value: 0.08605341663852302 + name: Cosine Recall@1 + - type: cosine_recall@3 + value: 0.17775526286164584 + name: Cosine Recall@3 + - type: cosine_recall@5 + value: 0.23426770235280872 + name: Cosine Recall@5 + - type: cosine_recall@10 + value: 0.3126266464032421 + name: Cosine Recall@10 + - type: cosine_ndcg@10 + value: 0.21024811058330226 + name: Cosine Ndcg@10 + - type: cosine_mrr@10 + value: 0.2150589609366203 + name: Cosine Mrr@10 + - type: cosine_map@100 + value: 0.16960318922225515 + name: Cosine Map@100 +--- + +# SentenceTransformer + +This is a [sentence-transformers](https://www.SBERT.net) model trained. It maps sentences & paragraphs to a 256-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more. + +## Model Details + +### Model Description +- **Model Type:** Sentence Transformer + +- **Maximum Sequence Length:** inf tokens +- **Output Dimensionality:** 256 dimensions +- **Similarity Function:** Cosine Similarity + + + + +### Model Sources + +- **Documentation:** [Sentence Transformers Documentation](https://sbert.net) +- **Repository:** [Sentence Transformers on GitHub](https://github.com/huggingface/sentence-transformers) +- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers) + +### Full Model Architecture + +``` +SentenceTransformer( + (0): StaticEmbedding( + (embedding): EmbeddingBag(120138, 256, mode='mean') + ) +) +``` + +## Usage + +### Direct Usage (Sentence Transformers) + +First install the Sentence Transformers library: + +```bash +pip install -U sentence-transformers +``` + +Then you can load this model and run inference. +```python +from sentence_transformers import SentenceTransformer + +# Download from the 🤗 Hub +model = SentenceTransformer("BorisTM/static_rus_bak") +# Run inference +sentences = [ + '19.Башҡортостан Республикаһында ниндәй милләттәр йәшәй?', + 'Какие экономические реформы были проведены в России в XIX веке?', + 'Валерий Газзаев также отметил, что сегодня футбол не просто является спортом.', +] +embeddings = model.encode(sentences) +print(embeddings.shape) +# [3, 256] + +# Get the similarity scores for the embeddings +similarities = model.similarity(embeddings, embeddings) +print(similarities) +# tensor([[ 1.0000, 0.4605, -0.0718], +# [ 0.4605, 1.0000, -0.1179], +# [-0.0718, -0.1179, 1.0000]]) +``` + + + + + + + +## Evaluation + +### Metrics + +#### Semantic Similarity + +* Dataset: `STS` +* Evaluated with [EmbeddingSimilarityEvaluator](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.EmbeddingSimilarityEvaluator) + +| Metric | Value | +|:--------------------|:-----------| +| pearson_cosine | 0.7476 | +| **spearman_cosine** | **0.7461** | + +#### Information Retrieval + +* Dataset: `IR` +* Evaluated with [InformationRetrievalEvaluator](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator) with these parameters: + ```json + { + "query_prompt": "", + "corpus_prompt": "" + } + ``` + +| Metric | Value | +|:--------------------|:-----------| +| cosine_accuracy@1 | 0.1359 | +| cosine_accuracy@3 | 0.2541 | +| cosine_accuracy@5 | 0.3274 | +| cosine_accuracy@10 | 0.4173 | +| cosine_precision@1 | 0.1359 | +| cosine_precision@3 | 0.0932 | +| cosine_precision@5 | 0.0754 | +| cosine_precision@10 | 0.0504 | +| cosine_recall@1 | 0.0861 | +| cosine_recall@3 | 0.1778 | +| cosine_recall@5 | 0.2343 | +| cosine_recall@10 | 0.3126 | +| **cosine_ndcg@10** | **0.2102** | +| cosine_mrr@10 | 0.2151 | +| cosine_map@100 | 0.1696 | + + + + + +## Training Details + +### Training Dataset + +#### Unnamed Dataset + +* Size: 10,246,566 training samples +* Columns: bak and rus +* Approximate statistics based on the first 1000 samples: + | | bak | rus | + |:--------|:-----------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | bak | rus | + |:-------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------| + | Ref-de Профиль на transfermarkt.de (нем.) | Профиль на transfermarkt.de (нем.) | + | Уның тәүәккәл эш итеүе арҡаһында был әҙәм зарарһыҙландырыла. | Со свойственным ему упрямством этот человек пытается исполнить свою угрозу. | + | Ростов стадионы архитектура үҙенсәлектәре башҡа стадиондарҙыҡынан айырылып торасаҡ. | Нарушение технологического процесса в одном, безусловно, скажется на других этапах. | +* Loss: [MultipleNegativesSymmetricRankingLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativessymmetricrankingloss) with these parameters: + ```json + { + "scale": 20.0, + "similarity_fct": "cos_sim", + "gather_across_devices": false + } + ``` + +### Evaluation Dataset + +#### rus_bak_real + +* Dataset: rus_bak_real +* Size: 10,000 evaluation samples +* Columns: bak and rus +* Approximate statistics based on the first 1000 samples: + | | bak | rus | + |:--------|:------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | bak | rus | + |:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| + | с йылдырымом юсуп а не валерой! | Освежает потрясающе! | + | Беренсе шуныһы ташлана күҙе - блузка уңайлы, туника, салбар. | Первое, что бросается в глаза - чех��л, плотный и удобный. | + | Һауаның уртаса йыллыҡ театраһы — 2,3°С, ғин. уртаса температура — -15°С, июлдә — 21°С. Абсолютная максимальная температура — 38°С, абс. миним. театра — -48,0°С. Яуым-төшөмдөң уртаса йыллыҡ миҡдары — 450 мм. | Среднегодовая температура воздуха – 2,3°С, средняя температура янв. – -15°С, июля – 21°С. Абсолютная максимальная температура – 38°С, абс. миним. театра – -48,0°С. Среднегодовое количество осадков – 450 мм. | +* Loss: [MultipleNegativesSymmetricRankingLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativessymmetricrankingloss) with these parameters: + ```json + { + "scale": 20.0, + "similarity_fct": "cos_sim", + "gather_across_devices": false + } + ``` + +### Training Hyperparameters +#### Non-Default Hyperparameters + +- `eval_strategy`: steps +- `per_device_train_batch_size`: 8192 +- `per_device_eval_batch_size`: 256 +- `learning_rate`: 0.02 +- `weight_decay`: 0.01 +- `max_steps`: 1200 +- `warmup_ratio`: 0.05 +- `bf16`: True +- `bf16_full_eval`: True +- `remove_unused_columns`: False +- `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`: 8192 +- `per_device_eval_batch_size`: 256 +- `per_gpu_train_batch_size`: None +- `per_gpu_eval_batch_size`: None +- `gradient_accumulation_steps`: 1 +- `eval_accumulation_steps`: None +- `torch_empty_cache_steps`: None +- `learning_rate`: 0.02 +- `weight_decay`: 0.01 +- `adam_beta1`: 0.9 +- `adam_beta2`: 0.999 +- `adam_epsilon`: 1e-08 +- `max_grad_norm`: 1.0 +- `num_train_epochs`: 3.0 +- `max_steps`: 1200 +- `lr_scheduler_type`: linear +- `lr_scheduler_kwargs`: {} +- `warmup_ratio`: 0.05 +- `warmup_steps`: 0 +- `log_level`: passive +- `log_level_replica`: warning +- `log_on_each_node`: True +- `logging_nan_inf_filter`: True +- `save_safetensors`: True +- `save_on_each_node`: False +- `save_only_model`: False +- `restore_callback_states_from_checkpoint`: False +- `no_cuda`: False +- `use_cpu`: False +- `use_mps_device`: False +- `seed`: 42 +- `data_seed`: None +- `jit_mode_eval`: False +- `bf16`: True +- `fp16`: False +- `fp16_opt_level`: O1 +- `half_precision_backend`: auto +- `bf16_full_eval`: True +- `fp16_full_eval`: False +- `tf32`: None +- `local_rank`: 0 +- `ddp_backend`: None +- `tpu_num_cores`: None +- `tpu_metrics_debug`: False +- `debug`: [] +- `dataloader_drop_last`: True +- `dataloader_num_workers`: 0 +- `dataloader_prefetch_factor`: None +- `past_index`: -1 +- `disable_tqdm`: False +- `remove_unused_columns`: 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 +- `optim_args`: None +- `adafactor`: False +- `group_by_length`: False +- `length_column_name`: length +- `project`: huggingface +- `trackio_space_id`: trackio +- `ddp_find_unused_parameters`: None +- `ddp_bucket_cap_mb`: None +- `ddp_broadcast_buffers`: False +- `dataloader_pin_memory`: True +- `dataloader_persistent_workers`: False +- `skip_memory_metrics`: True +- `use_legacy_prediction_loop`: False +- `push_to_hub`: False +- `resume_from_checkpoint`: None +- `hub_model_id`: None +- `hub_strategy`: every_save +- `hub_private_repo`: None +- `hub_always_push`: False +- `hub_revision`: None +- `gradient_checkpointing`: False +- `gradient_checkpointing_kwargs`: None +- `include_inputs_for_metrics`: False +- `include_for_metrics`: [] +- `eval_do_concat_batches`: True +- `fp16_backend`: auto +- `push_to_hub_model_id`: None +- `push_to_hub_organization`: None +- `mp_parameters`: +- `auto_find_batch_size`: False +- `full_determinism`: False +- `torchdynamo`: None +- `ray_scope`: last +- `ddp_timeout`: 1800 +- `torch_compile`: False +- `torch_compile_backend`: None +- `torch_compile_mode`: None +- `include_tokens_per_second`: False +- `include_num_input_tokens_seen`: no +- `neftune_noise_alpha`: None +- `optim_target_modules`: None +- `batch_eval_metrics`: False +- `eval_on_start`: False +- `use_liger_kernel`: False +- `liger_kernel_config`: None +- `eval_use_gather_object`: False +- `average_tokens_across_devices`: True +- `prompts`: None +- `batch_sampler`: batch_sampler +- `multi_dataset_batch_sampler`: proportional +- `router_mapping`: {} +- `learning_rate_mapping`: {} + +
+ +### Training Logs +
Click to expand + +| Epoch | Step | Training Loss | rus bak real loss | STS_spearman_cosine | IR_cosine_ndcg@10 | +|:------:|:----:|:-------------:|:-----------------:|:-------------------:|:-----------------:| +| 0.0016 | 1 | 6.8052 | - | - | - | +| 0.0032 | 2 | 6.8292 | - | - | - | +| 0.0048 | 3 | 6.5866 | - | - | - | +| 0.0064 | 4 | 6.4443 | - | - | - | +| 0.008 | 5 | 6.2087 | - | - | - | +| 0.0096 | 6 | 5.8404 | - | - | - | +| 0.0112 | 7 | 5.3911 | - | - | - | +| 0.0128 | 8 | 4.9429 | - | - | - | +| 0.0144 | 9 | 4.6392 | - | - | - | +| 0.016 | 10 | 4.3056 | - | - | - | +| 0.0176 | 11 | 4.1362 | - | - | - | +| 0.0192 | 12 | 3.7692 | - | - | - | +| 0.0208 | 13 | 3.5145 | - | - | - | +| 0.0224 | 14 | 3.2585 | - | - | - | +| 0.024 | 15 | 3.1419 | - | - | - | +| 0.0256 | 16 | 2.9484 | - | - | - | +| 0.0272 | 17 | 2.8231 | - | - | - | +| 0.0288 | 18 | 2.7024 | - | - | - | +| 0.0304 | 19 | 2.6269 | - | - | - | +| 0.032 | 20 | 2.5513 | - | - | - | +| 0.0336 | 21 | 2.4143 | - | - | - | +| 0.0352 | 22 | 2.4364 | - | - | - | +| 0.0368 | 23 | 2.382 | - | - | - | +| 0.0384 | 24 | 2.3449 | - | - | - | +| 0.04 | 25 | 2.2962 | - | - | - | +| 0.0416 | 26 | 2.3039 | - | - | - | +| 0.0432 | 27 | 2.2839 | - | - | - | +| 0.0448 | 28 | 2.3091 | - | - | - | +| 0.0464 | 29 | 2.2262 | - | - | - | +| 0.048 | 30 | 2.2293 | - | - | - | +| 0.0496 | 31 | 2.2371 | - | - | - | +| 0.0512 | 32 | 2.1836 | - | - | - | +| 0.0528 | 33 | 2.205 | - | - | - | +| 0.0544 | 34 | 2.1889 | - | - | - | +| 0.056 | 35 | 2.1662 | - | - | - | +| 0.0576 | 36 | 2.1341 | - | - | - | +| 0.0592 | 37 | 2.1845 | - | - | - | +| 0.0608 | 38 | 2.148 | - | - | - | +| 0.0624 | 39 | 2.1598 | - | - | - | +| 0.064 | 40 | 2.1341 | - | - | - | +| 0.0656 | 41 | 2.1734 | - | - | - | +| 0.0672 | 42 | 2.1748 | - | - | - | +| 0.0688 | 43 | 2.1018 | - | - | - | +| 0.0704 | 44 | 2.1813 | - | - | - | +| 0.072 | 45 | 2.13 | - | - | - | +| 0.0736 | 46 | 2.1989 | - | - | - | +| 0.0752 | 47 | 2.1453 | - | - | - | +| 0.0768 | 48 | 2.139 | - | - | - | +| 0.0784 | 49 | 2.1842 | - | - | - | +| 0.08 | 50 | 2.1187 | 1.5117 | 0.7258 | 0.1831 | +| 0.0816 | 51 | 2.122 | - | - | - | +| 0.0832 | 52 | 2.1312 | - | - | - | +| 0.0848 | 53 | 2.1183 | - | - | - | +| 0.0864 | 54 | 2.1081 | - | - | - | +| 0.088 | 55 | 2.1343 | - | - | - | +| 0.0896 | 56 | 2.1168 | - | - | - | +| 0.0912 | 57 | 2.0998 | - | - | - | +| 0.0928 | 58 | 2.122 | - | - | - | +| 0.0944 | 59 | 2.1117 | - | - | - | +| 0.096 | 60 | 2.0648 | - | - | - | +| 0.0976 | 61 | 2.1108 | - | - | - | +| 0.0992 | 62 | 2.1227 | - | - | - | +| 0.1008 | 63 | 2.0463 | - | - | - | +| 0.1024 | 64 | 2.0244 | - | - | - | +| 0.104 | 65 | 2.0966 | - | - | - | +| 0.1056 | 66 | 2.102 | - | - | - | +| 0.1072 | 67 | 2.0954 | - | - | - | +| 0.1088 | 68 | 2.0998 | - | - | - | +| 0.1104 | 69 | 2.0307 | - | - | - | +| 0.112 | 70 | 2.0351 | - | - | - | +| 0.1136 | 71 | 2.0806 | - | - | - | +| 0.1152 | 72 | 2.0635 | - | - | - | +| 0.1168 | 73 | 2.0583 | - | - | - | +| 0.1184 | 74 | 2.0406 | - | - | - | +| 0.12 | 75 | 2.0223 | - | - | - | +| 0.1216 | 76 | 2.0173 | - | - | - | +| 0.1232 | 77 | 2.0539 | - | - | - | +| 0.1248 | 78 | 2.0302 | - | - | - | +| 0.1264 | 79 | 2.0342 | - | - | - | +| 0.128 | 80 | 2.0509 | - | - | - | +| 0.1296 | 81 | 2.0105 | - | - | - | +| 0.1312 | 82 | 1.9884 | - | - | - | +| 0.1328 | 83 | 2.0462 | - | - | - | +| 0.1344 | 84 | 2.0332 | - | - | - | +| 0.136 | 85 | 2.0488 | - | - | - | +| 0.1376 | 86 | 2.0219 | - | - | - | +| 0.1392 | 87 | 2.028 | - | - | - | +| 0.1408 | 88 | 2.0696 | - | - | - | +| 0.1424 | 89 | 1.9468 | - | - | - | +| 0.144 | 90 | 1.9866 | - | - | - | +| 0.1456 | 91 | 1.966 | - | - | - | +| 0.1472 | 92 | 1.9844 | - | - | - | +| 0.1488 | 93 | 2.0409 | - | - | - | +| 0.1504 | 94 | 1.9872 | - | - | - | +| 0.152 | 95 | 1.9841 | - | - | - | +| 0.1536 | 96 | 2.0193 | - | - | - | +| 0.1552 | 97 | 1.9859 | - | - | - | +| 0.1568 | 98 | 2.0174 | - | - | - | +| 0.1584 | 99 | 1.9868 | - | - | - | +| 0.16 | 100 | 2.0048 | 1.4349 | 0.7270 | 0.1869 | +| 0.1616 | 101 | 1.9492 | - | - | - | +| 0.1632 | 102 | 1.9933 | - | - | - | +| 0.1648 | 103 | 1.9625 | - | - | - | +| 0.1664 | 104 | 1.9851 | - | - | - | +| 0.168 | 105 | 1.9508 | - | - | - | +| 0.1696 | 106 | 1.9693 | - | - | - | +| 0.1712 | 107 | 1.9922 | - | - | - | +| 0.1728 | 108 | 1.9774 | - | - | - | +| 0.1744 | 109 | 1.9953 | - | - | - | +| 0.176 | 110 | 1.9375 | - | - | - | +| 0.1776 | 111 | 1.9505 | - | - | - | +| 0.1792 | 112 | 1.9168 | - | - | - | +| 0.1808 | 113 | 1.9709 | - | - | - | +| 0.1824 | 114 | 1.9565 | - | - | - | +| 0.184 | 115 | 1.9701 | - | - | - | +| 0.1856 | 116 | 1.9465 | - | - | - | +| 0.1872 | 117 | 1.9397 | - | - | - | +| 0.1888 | 118 | 1.9196 | - | - | - | +| 0.1904 | 119 | 1.9278 | - | - | - | +| 0.192 | 120 | 1.951 | - | - | - | +| 0.1936 | 121 | 1.9431 | - | - | - | +| 0.1952 | 122 | 1.9599 | - | - | - | +| 0.1968 | 123 | 1.8998 | - | - | - | +| 0.1984 | 124 | 1.8788 | - | - | - | +| 0.2 | 125 | 1.8925 | - | - | - | +| 0.2016 | 126 | 1.9676 | - | - | - | +| 0.2032 | 127 | 1.9065 | - | - | - | +| 0.2048 | 128 | 1.9417 | - | - | - | +| 0.2064 | 129 | 1.9145 | - | - | - | +| 0.208 | 130 | 1.9333 | - | - | - | +| 0.2096 | 131 | 1.9317 | - | - | - | +| 0.2112 | 132 | 1.9149 | - | - | - | +| 0.2128 | 133 | 1.9304 | - | - | - | +| 0.2144 | 134 | 1.9138 | - | - | - | +| 0.216 | 135 | 1.9259 | - | - | - | +| 0.2176 | 136 | 1.8981 | - | - | - | +| 0.2192 | 137 | 1.9165 | - | - | - | +| 0.2208 | 138 | 1.9098 | - | - | - | +| 0.2224 | 139 | 1.8738 | - | - | - | +| 0.224 | 140 | 1.8616 | - | - | - | +| 0.2256 | 141 | 1.9413 | - | - | - | +| 0.2272 | 142 | 1.9312 | - | - | - | +| 0.2288 | 143 | 1.9426 | - | - | - | +| 0.2304 | 144 | 1.919 | - | - | - | +| 0.232 | 145 | 1.9622 | - | - | - | +| 0.2336 | 146 | 1.8851 | - | - | - | +| 0.2352 | 147 | 1.9436 | - | - | - | +| 0.2368 | 148 | 1.8914 | - | - | - | +| 0.2384 | 149 | 1.9313 | - | - | - | +| 0.24 | 150 | 1.8811 | 1.3768 | 0.7285 | 0.1850 | +| 0.2416 | 151 | 1.8753 | - | - | - | +| 0.2432 | 152 | 1.9012 | - | - | - | +| 0.2448 | 153 | 1.8946 | - | - | - | +| 0.2464 | 154 | 1.8438 | - | - | - | +| 0.248 | 155 | 1.9536 | - | - | - | +| 0.2496 | 156 | 1.8926 | - | - | - | +| 0.2512 | 157 | 1.87 | - | - | - | +| 0.2528 | 158 | 1.8638 | - | - | - | +| 0.2544 | 159 | 1.8856 | - | - | - | +| 0.256 | 160 | 1.8722 | - | - | - | +| 0.2576 | 161 | 1.8935 | - | - | - | +| 0.2592 | 162 | 1.8706 | - | - | - | +| 0.2608 | 163 | 1.864 | - | - | - | +| 0.2624 | 164 | 1.8201 | - | - | - | +| 0.264 | 165 | 1.8886 | - | - | - | +| 0.2656 | 166 | 1.8564 | - | - | - | +| 0.2672 | 167 | 1.9081 | - | - | - | +| 0.2688 | 168 | 1.9166 | - | - | - | +| 0.2704 | 169 | 1.9382 | - | - | - | +| 0.272 | 170 | 1.86 | - | - | - | +| 0.2736 | 171 | 1.928 | - | - | - | +| 0.2752 | 172 | 1.9199 | - | - | - | +| 0.2768 | 173 | 1.8407 | - | - | - | +| 0.2784 | 174 | 1.8763 | - | - | - | +| 0.28 | 175 | 1.882 | - | - | - | +| 0.2816 | 176 | 1.8499 | - | - | - | +| 0.2832 | 177 | 1.8906 | - | - | - | +| 0.2848 | 178 | 1.8353 | - | - | - | +| 0.2864 | 179 | 1.8497 | - | - | - | +| 0.288 | 180 | 1.8597 | - | - | - | +| 0.2896 | 181 | 1.8573 | - | - | - | +| 0.2912 | 182 | 1.858 | - | - | - | +| 0.2928 | 183 | 1.8821 | - | - | - | +| 0.2944 | 184 | 1.8731 | - | - | - | +| 0.296 | 185 | 1.8552 | - | - | - | +| 0.2976 | 186 | 1.904 | - | - | - | +| 0.2992 | 187 | 1.8918 | - | - | - | +| 0.3008 | 188 | 1.8359 | - | - | - | +| 0.3024 | 189 | 1.8715 | - | - | - | +| 0.304 | 190 | 1.8853 | - | - | - | +| 0.3056 | 191 | 1.8866 | - | - | - | +| 0.3072 | 192 | 1.8602 | - | - | - | +| 0.3088 | 193 | 1.8751 | - | - | - | +| 0.3104 | 194 | 1.8669 | - | - | - | +| 0.312 | 195 | 1.8386 | - | - | - | +| 0.3136 | 196 | 1.8479 | - | - | - | +| 0.3152 | 197 | 1.8354 | - | - | - | +| 0.3168 | 198 | 1.8677 | - | - | - | +| 0.3184 | 199 | 1.8521 | - | - | - | +| 0.32 | 200 | 1.8868 | 1.3365 | 0.7329 | 0.1873 | +| 0.3216 | 201 | 1.8808 | - | - | - | +| 0.3232 | 202 | 1.8305 | - | - | - | +| 0.3248 | 203 | 1.9031 | - | - | - | +| 0.3264 | 204 | 1.8474 | - | - | - | +| 0.328 | 205 | 1.9012 | - | - | - | +| 0.3296 | 206 | 1.8839 | - | - | - | +| 0.3312 | 207 | 1.8893 | - | - | - | +| 0.3328 | 208 | 1.8555 | - | - | - | +| 0.3344 | 209 | 1.8316 | - | - | - | +| 0.336 | 210 | 1.7971 | - | - | - | +| 0.3376 | 211 | 1.8513 | - | - | - | +| 0.3392 | 212 | 1.8758 | - | - | - | +| 0.3408 | 213 | 1.8829 | - | - | - | +| 0.3424 | 214 | 1.8666 | - | - | - | +| 0.344 | 215 | 1.8493 | - | - | - | +| 0.3456 | 216 | 1.8355 | - | - | - | +| 0.3472 | 217 | 1.8383 | - | - | - | +| 0.3488 | 218 | 1.8664 | - | - | - | +| 0.3504 | 219 | 1.8506 | - | - | - | +| 0.352 | 220 | 1.8585 | - | - | - | +| 0.3536 | 221 | 1.8665 | - | - | - | +| 0.3552 | 222 | 1.821 | - | - | - | +| 0.3568 | 223 | 1.7929 | - | - | - | +| 0.3584 | 224 | 1.8094 | - | - | - | +| 0.36 | 225 | 1.8085 | - | - | - | +| 0.3616 | 226 | 1.8527 | - | - | - | +| 0.3632 | 227 | 1.8373 | - | - | - | +| 0.3648 | 228 | 1.81 | - | - | - | +| 0.3664 | 229 | 1.8371 | - | - | - | +| 0.368 | 230 | 1.8467 | - | - | - | +| 0.3696 | 231 | 1.8126 | - | - | - | +| 0.3712 | 232 | 1.8291 | - | - | - | +| 0.3728 | 233 | 1.8209 | - | - | - | +| 0.3744 | 234 | 1.8876 | - | - | - | +| 0.376 | 235 | 1.8371 | - | - | - | +| 0.3776 | 236 | 1.8356 | - | - | - | +| 0.3792 | 237 | 1.821 | - | - | - | +| 0.3808 | 238 | 1.8211 | - | - | - | +| 0.3824 | 239 | 1.8459 | - | - | - | +| 0.384 | 240 | 1.8563 | - | - | - | +| 0.3856 | 241 | 1.8792 | - | - | - | +| 0.3872 | 242 | 1.8178 | - | - | - | +| 0.3888 | 243 | 1.851 | - | - | - | +| 0.3904 | 244 | 1.821 | - | - | - | +| 0.392 | 245 | 1.8163 | - | - | - | +| 0.3936 | 246 | 1.8153 | - | - | - | +| 0.3952 | 247 | 1.8792 | - | - | - | +| 0.3968 | 248 | 1.7786 | - | - | - | +| 0.3984 | 249 | 1.8013 | - | - | - | +| 0.4 | 250 | 1.8105 | 1.3096 | 0.7367 | 0.1922 | +| 0.4016 | 251 | 1.7861 | - | - | - | +| 0.4032 | 252 | 1.8084 | - | - | - | +| 0.4048 | 253 | 1.8332 | - | - | - | +| 0.4064 | 254 | 1.8617 | - | - | - | +| 0.408 | 255 | 1.814 | - | - | - | +| 0.4096 | 256 | 1.7809 | - | - | - | +| 0.4112 | 257 | 1.852 | - | - | - | +| 0.4128 | 258 | 1.8116 | - | - | - | +| 0.4144 | 259 | 1.8207 | - | - | - | +| 0.416 | 260 | 1.8465 | - | - | - | +| 0.4176 | 261 | 1.8181 | - | - | - | +| 0.4192 | 262 | 1.7907 | - | - | - | +| 0.4208 | 263 | 1.7691 | - | - | - | +| 0.4224 | 264 | 1.8727 | - | - | - | +| 0.424 | 265 | 1.7914 | - | - | - | +| 0.4256 | 266 | 1.7895 | - | - | - | +| 0.4272 | 267 | 1.7985 | - | - | - | +| 0.4288 | 268 | 1.8559 | - | - | - | +| 0.4304 | 269 | 1.8017 | - | - | - | +| 0.432 | 270 | 1.8275 | - | - | - | +| 0.4336 | 271 | 1.7869 | - | - | - | +| 0.4352 | 272 | 1.827 | - | - | - | +| 0.4368 | 273 | 1.8136 | - | - | - | +| 0.4384 | 274 | 1.7744 | - | - | - | +| 0.44 | 275 | 1.8176 | - | - | - | +| 0.4416 | 276 | 1.8107 | - | - | - | +| 0.4432 | 277 | 1.8285 | - | - | - | +| 0.4448 | 278 | 1.8022 | - | - | - | +| 0.4464 | 279 | 1.786 | - | - | - | +| 0.448 | 280 | 1.8212 | - | - | - | +| 0.4496 | 281 | 1.8211 | - | - | - | +| 0.4512 | 282 | 1.8268 | - | - | - | +| 0.4528 | 283 | 1.7769 | - | - | - | +| 0.4544 | 284 | 1.8618 | - | - | - | +| 0.456 | 285 | 1.7829 | - | - | - | +| 0.4576 | 286 | 1.8215 | - | - | - | +| 0.4592 | 287 | 1.7839 | - | - | - | +| 0.4608 | 288 | 1.8202 | - | - | - | +| 0.4624 | 289 | 1.785 | - | - | - | +| 0.464 | 290 | 1.8036 | - | - | - | +| 0.4656 | 291 | 1.7712 | - | - | - | +| 0.4672 | 292 | 1.7849 | - | - | - | +| 0.4688 | 293 | 1.8032 | - | - | - | +| 0.4704 | 294 | 1.8129 | - | - | - | +| 0.472 | 295 | 1.7778 | - | - | - | +| 0.4736 | 296 | 1.7948 | - | - | - | +| 0.4752 | 297 | 1.8093 | - | - | - | +| 0.4768 | 298 | 1.8332 | - | - | - | +| 0.4784 | 299 | 1.8117 | - | - | - | +| 0.48 | 300 | 1.8208 | 1.2986 | 0.7386 | 0.1927 | +| 0.4816 | 301 | 1.7467 | - | - | - | +| 0.4832 | 302 | 1.8045 | - | - | - | +| 0.4848 | 303 | 1.7616 | - | - | - | +| 0.4864 | 304 | 1.7831 | - | - | - | +| 0.488 | 305 | 1.8099 | - | - | - | +| 0.4896 | 306 | 1.7902 | - | - | - | +| 0.4912 | 307 | 1.7984 | - | - | - | +| 0.4928 | 308 | 1.7905 | - | - | - | +| 0.4944 | 309 | 1.7815 | - | - | - | +| 0.496 | 310 | 1.8109 | - | - | - | +| 0.4976 | 311 | 1.759 | - | - | - | +| 0.4992 | 312 | 1.8218 | - | - | - | +| 0.5008 | 313 | 1.7833 | - | - | - | +| 0.5024 | 314 | 1.8064 | - | - | - | +| 0.504 | 315 | 1.7814 | - | - | - | +| 0.5056 | 316 | 1.7993 | - | - | - | +| 0.5072 | 317 | 1.8111 | - | - | - | +| 0.5088 | 318 | 1.7912 | - | - | - | +| 0.5104 | 319 | 1.7996 | - | - | - | +| 0.512 | 320 | 1.7759 | - | - | - | +| 0.5136 | 321 | 1.779 | - | - | - | +| 0.5152 | 322 | 1.8102 | - | - | - | +| 0.5168 | 323 | 1.7918 | - | - | - | +| 0.5184 | 324 | 1.7653 | - | - | - | +| 0.52 | 325 | 1.7864 | - | - | - | +| 0.5216 | 326 | 1.7552 | - | - | - | +| 0.5232 | 327 | 1.7774 | - | - | - | +| 0.5248 | 328 | 1.8101 | - | - | - | +| 0.5264 | 329 | 1.7847 | - | - | - | +| 0.528 | 330 | 1.8204 | - | - | - | +| 0.5296 | 331 | 1.8093 | - | - | - | +| 0.5312 | 332 | 1.7648 | - | - | - | +| 0.5328 | 333 | 1.7865 | - | - | - | +| 0.5344 | 334 | 1.8055 | - | - | - | +| 0.536 | 335 | 1.772 | - | - | - | +| 0.5376 | 336 | 1.8017 | - | - | - | +| 0.5392 | 337 | 1.7931 | - | - | - | +| 0.5408 | 338 | 1.779 | - | - | - | +| 0.5424 | 339 | 1.7895 | - | - | - | +| 0.544 | 340 | 1.7643 | - | - | - | +| 0.5456 | 341 | 1.7979 | - | - | - | +| 0.5472 | 342 | 1.7781 | - | - | - | +| 0.5488 | 343 | 1.752 | - | - | - | +| 0.5504 | 344 | 1.8129 | - | - | - | +| 0.552 | 345 | 1.8058 | - | - | - | +| 0.5536 | 346 | 1.7885 | - | - | - | +| 0.5552 | 347 | 1.7844 | - | - | - | +| 0.5568 | 348 | 1.7585 | - | - | - | +| 0.5584 | 349 | 1.8262 | - | - | - | +| 0.56 | 350 | 1.7878 | 1.2817 | 0.7379 | 0.1997 | +| 0.5616 | 351 | 1.8413 | - | - | - | +| 0.5632 | 352 | 1.8278 | - | - | - | +| 0.5648 | 353 | 1.7841 | - | - | - | +| 0.5664 | 354 | 1.783 | - | - | - | +| 0.568 | 355 | 1.7783 | - | - | - | +| 0.5696 | 356 | 1.7739 | - | - | - | +| 0.5712 | 357 | 1.7747 | - | - | - | +| 0.5728 | 358 | 1.817 | - | - | - | +| 0.5744 | 359 | 1.7879 | - | - | - | +| 0.576 | 360 | 1.7958 | - | - | - | +| 0.5776 | 361 | 1.8159 | - | - | - | +| 0.5792 | 362 | 1.7575 | - | - | - | +| 0.5808 | 363 | 1.776 | - | - | - | +| 0.5824 | 364 | 1.8094 | - | - | - | +| 0.584 | 365 | 1.8281 | - | - | - | +| 0.5856 | 366 | 1.7817 | - | - | - | +| 0.5872 | 367 | 1.8019 | - | - | - | +| 0.5888 | 368 | 1.7675 | - | - | - | +| 0.5904 | 369 | 1.7468 | - | - | - | +| 0.592 | 370 | 1.8074 | - | - | - | +| 0.5936 | 371 | 1.7909 | - | - | - | +| 0.5952 | 372 | 1.7826 | - | - | - | +| 0.5968 | 373 | 1.7859 | - | - | - | +| 0.5984 | 374 | 1.7661 | - | - | - | +| 0.6 | 375 | 1.767 | - | - | - | +| 0.6016 | 376 | 1.7475 | - | - | - | +| 0.6032 | 377 | 1.7477 | - | - | - | +| 0.6048 | 378 | 1.7936 | - | - | - | +| 0.6064 | 379 | 1.7746 | - | - | - | +| 0.608 | 380 | 1.8159 | - | - | - | +| 0.6096 | 381 | 1.7615 | - | - | - | +| 0.6112 | 382 | 1.8044 | - | - | - | +| 0.6128 | 383 | 1.7653 | - | - | - | +| 0.6144 | 384 | 1.803 | - | - | - | +| 0.616 | 385 | 1.7348 | - | - | - | +| 0.6176 | 386 | 1.7956 | - | - | - | +| 0.6192 | 387 | 1.7861 | - | - | - | +| 0.6208 | 388 | 1.736 | - | - | - | +| 0.6224 | 389 | 1.8152 | - | - | - | +| 0.624 | 390 | 1.8111 | - | - | - | +| 0.6256 | 391 | 1.759 | - | - | - | +| 0.6272 | 392 | 1.7427 | - | - | - | +| 0.6288 | 393 | 1.767 | - | - | - | +| 0.6304 | 394 | 1.8222 | - | - | - | +| 0.632 | 395 | 1.7631 | - | - | - | +| 0.6336 | 396 | 1.7527 | - | - | - | +| 0.6352 | 397 | 1.7604 | - | - | - | +| 0.6368 | 398 | 1.8001 | - | - | - | +| 0.6384 | 399 | 1.8002 | - | - | - | +| 0.64 | 400 | 1.7403 | 1.2698 | 0.7426 | 0.1982 | +| 0.6416 | 401 | 1.8144 | - | - | - | +| 0.6432 | 402 | 1.7564 | - | - | - | +| 0.6448 | 403 | 1.763 | - | - | - | +| 0.6464 | 404 | 1.784 | - | - | - | +| 0.648 | 405 | 1.7592 | - | - | - | +| 0.6496 | 406 | 1.7315 | - | - | - | +| 0.6512 | 407 | 1.7585 | - | - | - | +| 0.6528 | 408 | 1.7437 | - | - | - | +| 0.6544 | 409 | 1.7596 | - | - | - | +| 0.656 | 410 | 1.7953 | - | - | - | +| 0.6576 | 411 | 1.7631 | - | - | - | +| 0.6592 | 412 | 1.7771 | - | - | - | +| 0.6608 | 413 | 1.7173 | - | - | - | +| 0.6624 | 414 | 1.7736 | - | - | - | +| 0.664 | 415 | 1.7847 | - | - | - | +| 0.6656 | 416 | 1.7585 | - | - | - | +| 0.6672 | 417 | 1.7854 | - | - | - | +| 0.6688 | 418 | 1.7663 | - | - | - | +| 0.6704 | 419 | 1.7684 | - | - | - | +| 0.672 | 420 | 1.732 | - | - | - | +| 0.6736 | 421 | 1.754 | - | - | - | +| 0.6752 | 422 | 1.7667 | - | - | - | +| 0.6768 | 423 | 1.7652 | - | - | - | +| 0.6784 | 424 | 1.731 | - | - | - | +| 0.68 | 425 | 1.7598 | - | - | - | +| 0.6816 | 426 | 1.7447 | - | - | - | +| 0.6832 | 427 | 1.7474 | - | - | - | +| 0.6848 | 428 | 1.8111 | - | - | - | +| 0.6864 | 429 | 1.7512 | - | - | - | +| 0.688 | 430 | 1.8023 | - | - | - | +| 0.6896 | 431 | 1.7412 | - | - | - | +| 0.6912 | 432 | 1.7681 | - | - | - | +| 0.6928 | 433 | 1.7693 | - | - | - | +| 0.6944 | 434 | 1.78 | - | - | - | +| 0.696 | 435 | 1.8082 | - | - | - | +| 0.6976 | 436 | 1.7664 | - | - | - | +| 0.6992 | 437 | 1.7765 | - | - | - | +| 0.7008 | 438 | 1.7643 | - | - | - | +| 0.7024 | 439 | 1.7794 | - | - | - | +| 0.704 | 440 | 1.7774 | - | - | - | +| 0.7056 | 441 | 1.7691 | - | - | - | +| 0.7072 | 442 | 1.6944 | - | - | - | +| 0.7088 | 443 | 1.7382 | - | - | - | +| 0.7104 | 444 | 1.7862 | - | - | - | +| 0.712 | 445 | 1.7302 | - | - | - | +| 0.7136 | 446 | 1.7613 | - | - | - | +| 0.7152 | 447 | 1.7813 | - | - | - | +| 0.7168 | 448 | 1.7801 | - | - | - | +| 0.7184 | 449 | 1.7533 | - | - | - | +| 0.72 | 450 | 1.7491 | 1.2572 | 0.7461 | 0.1990 | +| 0.7216 | 451 | 1.7668 | - | - | - | +| 0.7232 | 452 | 1.7785 | - | - | - | +| 0.7248 | 453 | 1.7607 | - | - | - | +| 0.7264 | 454 | 1.7313 | - | - | - | +| 0.728 | 455 | 1.7581 | - | - | - | +| 0.7296 | 456 | 1.7517 | - | - | - | +| 0.7312 | 457 | 1.7061 | - | - | - | +| 0.7328 | 458 | 1.7627 | - | - | - | +| 0.7344 | 459 | 1.7532 | - | - | - | +| 0.736 | 460 | 1.7609 | - | - | - | +| 0.7376 | 461 | 1.7931 | - | - | - | +| 0.7392 | 462 | 1.7081 | - | - | - | +| 0.7408 | 463 | 1.7459 | - | - | - | +| 0.7424 | 464 | 1.7624 | - | - | - | +| 0.744 | 465 | 1.7735 | - | - | - | +| 0.7456 | 466 | 1.7564 | - | - | - | +| 0.7472 | 467 | 1.7653 | - | - | - | +| 0.7488 | 468 | 1.7107 | - | - | - | +| 0.7504 | 469 | 1.753 | - | - | - | +| 0.752 | 470 | 1.7285 | - | - | - | +| 0.7536 | 471 | 1.7387 | - | - | - | +| 0.7552 | 472 | 1.7699 | - | - | - | +| 0.7568 | 473 | 1.7227 | - | - | - | +| 0.7584 | 474 | 1.7678 | - | - | - | +| 0.76 | 475 | 1.7126 | - | - | - | +| 0.7616 | 476 | 1.7412 | - | - | - | +| 0.7632 | 477 | 1.7881 | - | - | - | +| 0.7648 | 478 | 1.7717 | - | - | - | +| 0.7664 | 479 | 1.751 | - | - | - | +| 0.768 | 480 | 1.7754 | - | - | - | +| 0.7696 | 481 | 1.8273 | - | - | - | +| 0.7712 | 482 | 1.73 | - | - | - | +| 0.7728 | 483 | 1.7731 | - | - | - | +| 0.7744 | 484 | 1.7229 | - | - | - | +| 0.776 | 485 | 1.7366 | - | - | - | +| 0.7776 | 486 | 1.7669 | - | - | - | +| 0.7792 | 487 | 1.7192 | - | - | - | +| 0.7808 | 488 | 1.7422 | - | - | - | +| 0.7824 | 489 | 1.7635 | - | - | - | +| 0.784 | 490 | 1.7571 | - | - | - | +| 0.7856 | 491 | 1.7434 | - | - | - | +| 0.7872 | 492 | 1.7803 | - | - | - | +| 0.7888 | 493 | 1.729 | - | - | - | +| 0.7904 | 494 | 1.7933 | - | - | - | +| 0.792 | 495 | 1.7138 | - | - | - | +| 0.7936 | 496 | 1.7632 | - | - | - | +| 0.7952 | 497 | 1.7527 | - | - | - | +| 0.7968 | 498 | 1.7178 | - | - | - | +| 0.7984 | 499 | 1.7704 | - | - | - | +| 0.8 | 500 | 1.7364 | 1.2505 | 0.7422 | 0.1993 | +| 0.8016 | 501 | 1.7655 | - | - | - | +| 0.8032 | 502 | 1.7497 | - | - | - | +| 0.8048 | 503 | 1.7297 | - | - | - | +| 0.8064 | 504 | 1.7621 | - | - | - | +| 0.808 | 505 | 1.7324 | - | - | - | +| 0.8096 | 506 | 1.7546 | - | - | - | +| 0.8112 | 507 | 1.7242 | - | - | - | +| 0.8128 | 508 | 1.7546 | - | - | - | +| 0.8144 | 509 | 1.78 | - | - | - | +| 0.816 | 510 | 1.7634 | - | - | - | +| 0.8176 | 511 | 1.7445 | - | - | - | +| 0.8192 | 512 | 1.7839 | - | - | - | +| 0.8208 | 513 | 1.7486 | - | - | - | +| 0.8224 | 514 | 1.7325 | - | - | - | +| 0.824 | 515 | 1.7488 | - | - | - | +| 0.8256 | 516 | 1.7085 | - | - | - | +| 0.8272 | 517 | 1.7578 | - | - | - | +| 0.8288 | 518 | 1.7478 | - 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| - | - | +| 0.872 | 545 | 1.7363 | - | - | - | +| 0.8736 | 546 | 1.788 | - | - | - | +| 0.8752 | 547 | 1.7398 | - | - | - | +| 0.8768 | 548 | 1.76 | - | - | - | +| 0.8784 | 549 | 1.7157 | - | - | - | +| 0.88 | 550 | 1.7662 | 1.2445 | 0.7412 | 0.2019 | +| 0.8816 | 551 | 1.7663 | - | - | - | +| 0.8832 | 552 | 1.7247 | - | - | - | +| 0.8848 | 553 | 1.7452 | - | - | - | +| 0.8864 | 554 | 1.7043 | - | - | - | +| 0.888 | 555 | 1.7705 | - | - | - | +| 0.8896 | 556 | 1.7364 | - | - | - | +| 0.8912 | 557 | 1.7617 | - | - | - | +| 0.8928 | 558 | 1.7521 | - | - | - | +| 0.8944 | 559 | 1.7335 | - | - | - | +| 0.896 | 560 | 1.73 | - | - | - | +| 0.8976 | 561 | 1.7248 | - | - | - | +| 0.8992 | 562 | 1.7499 | - | - | - | +| 0.9008 | 563 | 1.7189 | - | - | - | +| 0.9024 | 564 | 1.7667 | - | - | - | +| 0.904 | 565 | 1.7447 | - | - | - | +| 0.9056 | 566 | 1.7304 | - | - | - | +| 0.9072 | 567 | 1.714 | - | - | - | +| 0.9088 | 568 | 1.7207 | - | - | - | +| 0.9104 | 569 | 1.7234 | - | - | - | +| 0.912 | 570 | 1.7014 | - | - | - | +| 0.9136 | 571 | 1.7716 | - | - | - | +| 0.9152 | 572 | 1.7435 | - | - | - | +| 0.9168 | 573 | 1.7312 | - | - | - | +| 0.9184 | 574 | 1.7444 | - | - | - | +| 0.92 | 575 | 1.7409 | - | - | - | +| 0.9216 | 576 | 1.757 | - | - | - | +| 0.9232 | 577 | 1.6865 | - | - | - | +| 0.9248 | 578 | 1.7591 | - | - | - | +| 0.9264 | 579 | 1.7332 | - | - | - | +| 0.928 | 580 | 1.7406 | - | - | - | +| 0.9296 | 581 | 1.7823 | - | - | - | +| 0.9312 | 582 | 1.7483 | - | - | - | +| 0.9328 | 583 | 1.7497 | - | - | - | +| 0.9344 | 584 | 1.7489 | - | - | - | +| 0.936 | 585 | 1.7789 | - | - | - | +| 0.9376 | 586 | 1.7345 | - | - | - | +| 0.9392 | 587 | 1.6924 | - | - | - | +| 0.9408 | 588 | 1.7152 | - | - | - | +| 0.9424 | 589 | 1.7086 | - | - | - | +| 0.944 | 590 | 1.6986 | - | - | - | +| 0.9456 | 591 | 1.72 | - | - | - | +| 0.9472 | 592 | 1.7453 | - | - | - | +| 0.9488 | 593 | 1.7032 | - | - | - | +| 0.9504 | 594 | 1.6796 | - | - | - | +| 0.952 | 595 | 1.7046 | - | - | - | +| 0.9536 | 596 | 1.7399 | - | - | - | +| 0.9552 | 597 | 1.7047 | - | - | - | +| 0.9568 | 598 | 1.7363 | - | - | - | +| 0.9584 | 599 | 1.7569 | - | - | - | +| 0.96 | 600 | 1.7383 | 1.2390 | 0.7436 | 0.1996 | +| 0.9616 | 601 | 1.7482 | - | - | - | +| 0.9632 | 602 | 1.7013 | - | - | - | +| 0.9648 | 603 | 1.7412 | - | - | - | +| 0.9664 | 604 | 1.7755 | - | - | - | +| 0.968 | 605 | 1.7297 | - | - | - | +| 0.9696 | 606 | 1.6756 | - | - | - | +| 0.9712 | 607 | 1.7383 | - | - | - | +| 0.9728 | 608 | 1.7032 | - | - | - | +| 0.9744 | 609 | 1.7206 | - | - | - | +| 0.976 | 610 | 1.704 | - | - | - | +| 0.9776 | 611 | 1.7115 | - | - | - | +| 0.9792 | 612 | 1.7617 | - | - | - | +| 0.9808 | 613 | 1.7045 | - | - | - | +| 0.9824 | 614 | 1.7331 | - | - | - | +| 0.984 | 615 | 1.7078 | - | - | - | +| 0.9856 | 616 | 1.7679 | - | - | - | +| 0.9872 | 617 | 1.6513 | - | - | - | +| 0.9888 | 618 | 1.7205 | - | - | - | +| 0.9904 | 619 | 1.748 | - | - | - | +| 0.992 | 620 | 1.6677 | - | - | - | +| 0.9936 | 621 | 1.7483 | - | - | - | +| 0.9952 | 622 | 1.743 | - | - | - | +| 0.9968 | 623 | 1.741 | - | - | - | +| 0.9984 | 624 | 1.713 | - | - | - | +| 1.0 | 625 | 1.7129 | - | - | - | +| 1.0016 | 626 | 1.4977 | - | - | - | +| 1.0032 | 627 | 1.5591 | - | - | - | +| 1.0048 | 628 | 1.5476 | - | - | - | +| 1.0064 | 629 | 1.5019 | - | - | - | +| 1.008 | 630 | 1.4911 | - | - | - | +| 1.0096 | 631 | 1.5025 | - | - | - | +| 1.0112 | 632 | 1.5251 | - | - | - | +| 1.0128 | 633 | 1.5445 | - | - | - | +| 1.0144 | 634 | 1.5008 | - | - | - | +| 1.016 | 635 | 1.5211 | - | - | - | +| 1.0176 | 636 | 1.5602 | - | - | - | +| 1.0192 | 637 | 1.5245 | - | - | - | +| 1.0208 | 638 | 1.5186 | - | - | - | +| 1.0224 | 639 | 1.4902 | - | - | - | +| 1.024 | 640 | 1.5629 | - | - | - | +| 1.0256 | 641 | 1.5003 | - | - | - | +| 1.0272 | 642 | 1.5485 | - | - | - | +| 1.0288 | 643 | 1.5414 | - | - | - | +| 1.0304 | 644 | 1.4916 | - | - | - | +| 1.032 | 645 | 1.521 | - | - | - | +| 1.0336 | 646 | 1.5079 | - | - | - | +| 1.0352 | 647 | 1.5081 | - | - | - | +| 1.0368 | 648 | 1.5003 | - | - | - | +| 1.0384 | 649 | 1.5443 | - | - | - | +| 1.04 | 650 | 1.494 | 1.2367 | 0.7443 | 0.2036 | +| 1.0416 | 651 | 1.512 | - | - | - | +| 1.0432 | 652 | 1.5058 | - | - | - | +| 1.0448 | 653 | 1.5053 | - | - | - | +| 1.0464 | 654 | 1.4986 | - | - | - | +| 1.048 | 655 | 1.5087 | - | - | - | +| 1.0496 | 656 | 1.5333 | - | - | - | +| 1.0512 | 657 | 1.5129 | - | - | - | +| 1.0528 | 658 | 1.5096 | - | - | - | +| 1.0544 | 659 | 1.5516 | - | - | - | +| 1.056 | 660 | 1.5372 | - | - | - | +| 1.0576 | 661 | 1.4966 | - | - | - | +| 1.0592 | 662 | 1.4952 | - | - | - | +| 1.0608 | 663 | 1.5116 | - | - | - | +| 1.0624 | 664 | 1.5426 | - | - | - | +| 1.064 | 665 | 1.5395 | - | - | - | +| 1.0656 | 666 | 1.524 | - | - | - | +| 1.0672 | 667 | 1.5509 | - | - | - | +| 1.0688 | 668 | 1.5245 | - | - | - | +| 1.0704 | 669 | 1.5556 | - | - | - | +| 1.072 | 670 | 1.5083 | - | - | - | +| 1.0736 | 671 | 1.5426 | - | - | - | +| 1.0752 | 672 | 1.4779 | - | - | - | +| 1.0768 | 673 | 1.5335 | - | - | - | +| 1.0784 | 674 | 1.5453 | - | - | - | +| 1.08 | 675 | 1.5413 | - | - | - | +| 1.0816 | 676 | 1.4832 | - | - | - | +| 1.0832 | 677 | 1.5474 | - | - | - | +| 1.0848 | 678 | 1.5354 | - | - | - | +| 1.0864 | 679 | 1.5425 | - | - | - | +| 1.088 | 680 | 1.5531 | - | - | - | +| 1.0896 | 681 | 1.5374 | - | - | - | +| 1.0912 | 682 | 1.5207 | - | - | - | +| 1.0928 | 683 | 1.5227 | - | - | - | +| 1.0944 | 684 | 1.5228 | - | - | - | +| 1.096 | 685 | 1.5277 | - | - | - | +| 1.0976 | 686 | 1.5399 | - | - | - | +| 1.0992 | 687 | 1.4982 | - | - | - | +| 1.1008 | 688 | 1.5174 | - | - | - | +| 1.1024 | 689 | 1.5442 | - | - | - | +| 1.104 | 690 | 1.5447 | - | - | - | +| 1.1056 | 691 | 1.5255 | - | - | - | +| 1.1072 | 692 | 1.5291 | - | - | - | +| 1.1088 | 693 | 1.5237 | - | - | - | +| 1.1104 | 694 | 1.5638 | - | - | - | +| 1.112 | 695 | 1.5014 | - | - | - | +| 1.1136 | 696 | 1.5224 | - | - | - | +| 1.1152 | 697 | 1.5629 | - | - | - | +| 1.1168 | 698 | 1.555 | - | - | - | +| 1.1184 | 699 | 1.5127 | - | - | - | +| 1.12 | 700 | 1.567 | 1.2446 | 0.7459 | 0.2062 | +| 1.1216 | 701 | 1.5506 | - | - | - | +| 1.1232 | 702 | 1.524 | - | - | - | +| 1.1248 | 703 | 1.5272 | - | - | - | +| 1.1264 | 704 | 1.5038 | - | - | - | +| 1.1280 | 705 | 1.5372 | - | - | - | +| 1.1296 | 706 | 1.5167 | - | - | - | +| 1.1312 | 707 | 1.5473 | - | - | - | +| 1.1328 | 708 | 1.5475 | - | - | - | +| 1.1344 | 709 | 1.5455 | - | - | - | +| 1.1360 | 710 | 1.5242 | - | - | - | +| 1.1376 | 711 | 1.5192 | - | - | - | +| 1.1392 | 712 | 1.525 | - | - | - | +| 1.1408 | 713 | 1.5575 | - | - | - | +| 1.1424 | 714 | 1.5481 | - | - | - | +| 1.144 | 715 | 1.5717 | - | - | - | +| 1.1456 | 716 | 1.5136 | - | - | - | +| 1.1472 | 717 | 1.5825 | - | - | - | +| 1.1488 | 718 | 1.5677 | - | - | - | +| 1.1504 | 719 | 1.5298 | - | - | - | +| 1.152 | 720 | 1.5659 | - | - | - | +| 1.1536 | 721 | 1.4843 | - | - | - | +| 1.1552 | 722 | 1.5491 | - | - | - | +| 1.1568 | 723 | 1.5561 | - | - | - | +| 1.1584 | 724 | 1.5407 | - | - | - | +| 1.16 | 725 | 1.5247 | - | - | - | +| 1.1616 | 726 | 1.5413 | - | - | - | +| 1.1632 | 727 | 1.59 | - | - | - | +| 1.1648 | 728 | 1.5508 | - | - | - | +| 1.1664 | 729 | 1.5221 | - | - | - | +| 1.168 | 730 | 1.5499 | - | - | - | +| 1.1696 | 731 | 1.5542 | - | - | - | +| 1.1712 | 732 | 1.576 | - | - | - | +| 1.1728 | 733 | 1.5715 | - | - | - | +| 1.1744 | 734 | 1.5667 | - | - | - | +| 1.176 | 735 | 1.5687 | - | - | - | +| 1.1776 | 736 | 1.5406 | - | - | - | +| 1.1792 | 737 | 1.5455 | - | - | - | +| 1.1808 | 738 | 1.5718 | - | - | - | +| 1.1824 | 739 | 1.5431 | - | - | - | +| 1.184 | 740 | 1.5655 | - | - | - | +| 1.1856 | 741 | 1.5161 | - | - | - | +| 1.1872 | 742 | 1.559 | - | - | - | +| 1.1888 | 743 | 1.5719 | - | - | - | +| 1.1904 | 744 | 1.5353 | - | - | - | +| 1.192 | 745 | 1.5428 | - | - | - | +| 1.1936 | 746 | 1.4991 | - | - | - | +| 1.1952 | 747 | 1.5548 | - | - | - | +| 1.1968 | 748 | 1.5298 | - | - | - | +| 1.1984 | 749 | 1.5441 | - | - | - | +| 1.2 | 750 | 1.5572 | 1.2367 | 0.7454 | 0.2087 | +| 1.2016 | 751 | 1.5662 | - | - | - | +| 1.2032 | 752 | 1.5628 | - | - | - | +| 1.2048 | 753 | 1.5723 | - 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| - | - | +| 1.744 | 1090 | 1.5855 | - | - | - | +| 1.7456 | 1091 | 1.579 | - | - | - | +| 1.7472 | 1092 | 1.5984 | - | - | - | +| 1.7488 | 1093 | 1.5587 | - | - | - | +| 1.7504 | 1094 | 1.5859 | - | - | - | +| 1.752 | 1095 | 1.5623 | - | - | - | +| 1.7536 | 1096 | 1.5231 | - | - | - | +| 1.7552 | 1097 | 1.5408 | - | - | - | +| 1.7568 | 1098 | 1.5772 | - | - | - | +| 1.7584 | 1099 | 1.5525 | - | - | - | +| 1.76 | 1100 | 1.6042 | 1.2210 | 0.7460 | 0.2099 | +| 1.7616 | 1101 | 1.5949 | - | - | - | +| 1.7632 | 1102 | 1.5607 | - | - | - | +| 1.7648 | 1103 | 1.5502 | - | - | - | +| 1.7664 | 1104 | 1.5703 | - | - | - | +| 1.768 | 1105 | 1.5399 | - | - | - | +| 1.7696 | 1106 | 1.5907 | - | - | - | +| 1.7712 | 1107 | 1.532 | - | - | - | +| 1.7728 | 1108 | 1.5441 | - | - | - | +| 1.7744 | 1109 | 1.607 | - | - | - | +| 1.776 | 1110 | 1.5459 | - | - | - | +| 1.7776 | 1111 | 1.5131 | - | - | - | +| 1.7792 | 1112 | 1.5729 | - | - | - | +| 1.7808 | 1113 | 1.5357 | - | - | - | +| 1.7824 | 1114 | 1.6019 | - | - | - | +| 1.784 | 1115 | 1.5462 | - | - | - | +| 1.7856 | 1116 | 1.5346 | - | - | - | +| 1.7872 | 1117 | 1.517 | - | - | - | +| 1.7888 | 1118 | 1.606 | - | - | - | +| 1.7904 | 1119 | 1.5945 | - | - | - | +| 1.792 | 1120 | 1.5534 | - | - | - | +| 1.7936 | 1121 | 1.5321 | - | - | - | +| 1.7952 | 1122 | 1.5541 | - | - | - | +| 1.7968 | 1123 | 1.5596 | - | - | - | +| 1.7984 | 1124 | 1.5596 | - | - | - | +| 1.8 | 1125 | 1.5659 | - | - | - | +| 1.8016 | 1126 | 1.5548 | - | - | - | +| 1.8032 | 1127 | 1.5581 | - | - | - | +| 1.8048 | 1128 | 1.5593 | - | - | - | +| 1.8064 | 1129 | 1.5612 | - | - | - | +| 1.808 | 1130 | 1.5701 | - | - | - | +| 1.8096 | 1131 | 1.5563 | - | - | - | +| 1.8112 | 1132 | 1.5578 | - | - | - | +| 1.8128 | 1133 | 1.579 | - | - | - | +| 1.8144 | 1134 | 1.5437 | - | - | - | +| 1.8160 | 1135 | 1.6024 | - | - | - | +| 1.8176 | 1136 | 1.5634 | - | - | - | +| 1.8192 | 1137 | 1.5534 | - | - | - | +| 1.8208 | 1138 | 1.5515 | - | - | - | +| 1.8224 | 1139 | 1.5529 | - | - | - | +| 1.8240 | 1140 | 1.5297 | - | - | - | +| 1.8256 | 1141 | 1.5426 | - | - | - | +| 1.8272 | 1142 | 1.5811 | - | - | - | +| 1.8288 | 1143 | 1.5356 | - | - | - | +| 1.8304 | 1144 | 1.5163 | - | - | - | +| 1.8320 | 1145 | 1.5798 | - | - | - | +| 1.8336 | 1146 | 1.544 | - | - | - | +| 1.8352 | 1147 | 1.5675 | - | - | - | +| 1.8368 | 1148 | 1.5564 | - | - | - | +| 1.8384 | 1149 | 1.5487 | - | - | - | +| 1.8400 | 1150 | 1.5404 | 1.2180 | 0.7461 | 0.2102 | + +
+ +### Framework Versions +- Python: 3.10.14 +- Sentence Transformers: 5.1.2 +- Transformers: 4.57.3 +- PyTorch: 2.3.1 +- 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", +} +``` + + + + + + \ No newline at end of file