--- language: [] library_name: sentence-transformers tags: - sentence-transformers - sentence-similarity - feature-extraction - generated_from_trainer - dataset_size:499500 - loss:MSELoss base_model: lemon-mint/KoEn-Embed-Turbo-v0.6 datasets: [] metrics: - pearson_cosine - spearman_cosine - pearson_manhattan - spearman_manhattan - pearson_euclidean - spearman_euclidean - pearson_dot - spearman_dot - pearson_max - spearman_max - 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 - dot_accuracy@1 - dot_accuracy@3 - dot_accuracy@5 - dot_accuracy@10 - dot_precision@1 - dot_precision@3 - dot_precision@5 - dot_precision@10 - dot_recall@1 - dot_recall@3 - dot_recall@5 - dot_recall@10 - dot_ndcg@10 - dot_mrr@10 - dot_map@100 widget: - source_sentence: 'query: 순드리 우탐찬다니의 대표적인 단편 소설은 무엇입니까?' sentences: - 'query: What works have been influenced by "Fourth World"?' - 'query: 학교 건물의 건축 스타일은 무엇입니까?' - 'query: Which group of people''s experiences did the JERS study aim to document?' - source_sentence: 'query: 비센테 게레로 시정촌의 주요 산업은 무엇입니까?' sentences: - 'query: 캐나다의 지방 선거는 어떤 주체가 관할합니까?' - 'query: 2024년 네브래스카주 상원 특별 선거에서 승리할 것으로 예상되는 후보는 누구입니까?' - 'query: 라말링게슈와라 사원 단지에 있는 사원들은 모두 같은 시대에 지어졌습니까?' - source_sentence: 'query: 세인트 존의 부인은 결혼 전에 어떤 직업을 가졌습니까?' sentences: - 'query: What led to amateur astronomy becoming an independent hobby activity distinct from professional astronomy?' - 'query: HIK 학교는 어떤 시대에 설립되었나요?' - 'query: 호주에서 "스쿼터"가 된 사람들은 대부분 어떤 계층의 사람들이었나요?' - source_sentence: 'query: How many home runs did Eddie Mathews hit in 1957?' sentences: - 'query: How long did Major live in the White House?' - 'query: How many points did Lithuania receive in the Eurovision Song Contest semi-final in 2005?' - 'query: Why did Loretta Tupper return to show business?' - source_sentence: 'query: 해롤드 데이비스는 어떤 국가의 선수였나요?' sentences: - 'query: 릴리는 어떤 스포츠를 좋아했습니까?' - 'query: 안토니오 데 카스트로 마이어는 1988년에 어떤 행위로 인해 논란을 일으켰습니까?' - 'query: When was the Herefordshire Light Infantry founded?' pipeline_tag: sentence-similarity model-index: - name: SentenceTransformer based on lemon-mint/KoEn-Embed-Turbo-v0.6 results: - task: type: semantic-similarity name: Semantic Similarity dataset: name: sts dev type: sts-dev metrics: - type: pearson_cosine value: 0.7166865142404676 name: Pearson Cosine - type: spearman_cosine value: 0.7179436638586734 name: Spearman Cosine - type: pearson_manhattan value: 0.6562645352982684 name: Pearson Manhattan - type: spearman_manhattan value: 0.6713564101735439 name: Spearman Manhattan - type: pearson_euclidean value: 0.6576343568691049 name: Pearson Euclidean - type: spearman_euclidean value: 0.6720055780017863 name: Spearman Euclidean - type: pearson_dot value: 0.581317643897043 name: Pearson Dot - type: spearman_dot value: 0.6227048224971706 name: Spearman Dot - type: pearson_max value: 0.7166865142404676 name: Pearson Max - type: spearman_max value: 0.7179436638586734 name: Spearman Max - task: type: information-retrieval name: Information Retrieval dataset: name: Ko StrategyQA dev type: Ko-StrategyQA-dev metrics: - type: cosine_accuracy@1 value: 0.16722972972972974 name: Cosine Accuracy@1 - type: cosine_accuracy@3 value: 0.25844594594594594 name: Cosine Accuracy@3 - type: cosine_accuracy@5 value: 0.30236486486486486 name: Cosine Accuracy@5 - type: cosine_accuracy@10 value: 0.38006756756756754 name: Cosine Accuracy@10 - type: cosine_precision@1 value: 0.16722972972972974 name: Cosine Precision@1 - type: cosine_precision@3 value: 0.09853603603603603 name: Cosine Precision@3 - type: cosine_precision@5 value: 0.07128378378378379 name: Cosine Precision@5 - type: cosine_precision@10 value: 0.04746621621621622 name: Cosine Precision@10 - type: cosine_recall@1 value: 0.10484234234234234 name: Cosine Recall@1 - type: cosine_recall@3 value: 0.1760698198198198 name: Cosine Recall@3 - type: cosine_recall@5 value: 0.21348536036036034 name: Cosine Recall@5 - type: cosine_recall@10 value: 0.27516891891891887 name: Cosine Recall@10 - type: cosine_ndcg@10 value: 0.20750097993183542 name: Cosine Ndcg@10 - type: cosine_mrr@10 value: 0.22642307486057478 name: Cosine Mrr@10 - type: cosine_map@100 value: 0.1760894166796981 name: Cosine Map@100 - type: dot_accuracy@1 value: 0.13682432432432431 name: Dot Accuracy@1 - type: dot_accuracy@3 value: 0.2195945945945946 name: Dot Accuracy@3 - type: dot_accuracy@5 value: 0.2635135135135135 name: Dot Accuracy@5 - type: dot_accuracy@10 value: 0.33952702702702703 name: Dot Accuracy@10 - type: dot_precision@1 value: 0.13682432432432431 name: Dot Precision@1 - type: dot_precision@3 value: 0.08614864864864864 name: Dot Precision@3 - type: dot_precision@5 value: 0.06317567567567568 name: Dot Precision@5 - type: dot_precision@10 value: 0.043243243243243246 name: Dot Precision@10 - type: dot_recall@1 value: 0.09127252252252252 name: Dot Recall@1 - type: dot_recall@3 value: 0.1596846846846847 name: Dot Recall@3 - type: dot_recall@5 value: 0.1899493243243243 name: Dot Recall@5 - type: dot_recall@10 value: 0.2541103603603604 name: Dot Recall@10 - type: dot_ndcg@10 value: 0.18669639273900773 name: Dot Ndcg@10 - type: dot_mrr@10 value: 0.19339473401973398 name: Dot Mrr@10 - type: dot_map@100 value: 0.15927201068719438 name: Dot Map@100 - task: type: semantic-similarity name: Semantic Similarity dataset: name: sts test type: sts-test metrics: - type: pearson_cosine value: 0.6269313573543648 name: Pearson Cosine - type: spearman_cosine value: 0.6185961220418067 name: Spearman Cosine - type: pearson_manhattan value: 0.578738833621439 name: Pearson Manhattan - type: spearman_manhattan value: 0.5839976753348799 name: Spearman Manhattan - type: pearson_euclidean value: 0.5793449665959343 name: Pearson Euclidean - type: spearman_euclidean value: 0.5843842345712776 name: Spearman Euclidean - type: pearson_dot value: 0.4781712564220267 name: Pearson Dot - type: spearman_dot value: 0.5057919404595702 name: Spearman Dot - type: pearson_max value: 0.6269313573543648 name: Pearson Max - type: spearman_max value: 0.6185961220418067 name: Spearman Max --- # SentenceTransformer based on lemon-mint/KoEn-Embed-Turbo-v0.6 This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [lemon-mint/KoEn-Embed-Turbo-v0.6](https://huggingface.co/lemon-mint/KoEn-Embed-Turbo-v0.6). It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more. ## Model Details ### Model Description - **Model Type:** Sentence Transformer - **Base model:** [lemon-mint/KoEn-Embed-Turbo-v0.6](https://huggingface.co/lemon-mint/KoEn-Embed-Turbo-v0.6) - **Maximum Sequence Length:** 512 tokens - **Output Dimensionality:** 768 tokens - **Similarity Function:** Cosine Similarity ### Model Sources - **Documentation:** [Sentence Transformers Documentation](https://sbert.net) - **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers) - **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers) ### Full Model Architecture ``` SentenceTransformer( (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) ) ``` ## Usage ### Direct Usage (Sentence Transformers) First install the Sentence Transformers library: ```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("lemon-mint/KoEn-Embed-Turbo-v0.7-final") # Run inference sentences = [ 'query: 해롤드 데이비스는 어떤 국가의 선수였나요?', 'query: 릴리는 어떤 스포츠를 좋아했습니까?', 'query: 안토니오 데 카스트로 마이어는 1988년에 어떤 행위로 인해 논란을 일으켰습니까?', ] embeddings = model.encode(sentences) print(embeddings.shape) # [3, 768] # Get the similarity scores for the embeddings similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] ``` ## Evaluation ### Metrics #### Semantic Similarity * Dataset: `sts-dev` * Evaluated with [EmbeddingSimilarityEvaluator](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.EmbeddingSimilarityEvaluator) | Metric | Value | |:--------------------|:-----------| | pearson_cosine | 0.7167 | | **spearman_cosine** | **0.7179** | | pearson_manhattan | 0.6563 | | spearman_manhattan | 0.6714 | | pearson_euclidean | 0.6576 | | spearman_euclidean | 0.672 | | pearson_dot | 0.5813 | | spearman_dot | 0.6227 | | pearson_max | 0.7167 | | spearman_max | 0.7179 | #### Information Retrieval * Dataset: `Ko-StrategyQA-dev` * Evaluated with [InformationRetrievalEvaluator](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator) | Metric | Value | |:--------------------|:-----------| | cosine_accuracy@1 | 0.1672 | | cosine_accuracy@3 | 0.2584 | | cosine_accuracy@5 | 0.3024 | | cosine_accuracy@10 | 0.3801 | | cosine_precision@1 | 0.1672 | | cosine_precision@3 | 0.0985 | | cosine_precision@5 | 0.0713 | | cosine_precision@10 | 0.0475 | | cosine_recall@1 | 0.1048 | | cosine_recall@3 | 0.1761 | | cosine_recall@5 | 0.2135 | | cosine_recall@10 | 0.2752 | | cosine_ndcg@10 | 0.2075 | | cosine_mrr@10 | 0.2264 | | **cosine_map@100** | **0.1761** | | dot_accuracy@1 | 0.1368 | | dot_accuracy@3 | 0.2196 | | dot_accuracy@5 | 0.2635 | | dot_accuracy@10 | 0.3395 | | dot_precision@1 | 0.1368 | | dot_precision@3 | 0.0861 | | dot_precision@5 | 0.0632 | | dot_precision@10 | 0.0432 | | dot_recall@1 | 0.0913 | | dot_recall@3 | 0.1597 | | dot_recall@5 | 0.1899 | | dot_recall@10 | 0.2541 | | dot_ndcg@10 | 0.1867 | | dot_mrr@10 | 0.1934 | | dot_map@100 | 0.1593 | #### Semantic Similarity * Dataset: `sts-test` * Evaluated with [EmbeddingSimilarityEvaluator](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.EmbeddingSimilarityEvaluator) | Metric | Value | |:--------------------|:-----------| | pearson_cosine | 0.6269 | | **spearman_cosine** | **0.6186** | | pearson_manhattan | 0.5787 | | spearman_manhattan | 0.584 | | pearson_euclidean | 0.5793 | | spearman_euclidean | 0.5844 | | pearson_dot | 0.4782 | | spearman_dot | 0.5058 | | pearson_max | 0.6269 | | spearman_max | 0.6186 | ## Training Details ### Training Hyperparameters #### Non-Default Hyperparameters - `eval_strategy`: steps - `per_device_train_batch_size`: 48 - `per_device_eval_batch_size`: 4 - `learning_rate`: 0.0001 - `num_train_epochs`: 1 - `warmup_ratio`: 0.05 - `fp16`: True - `push_to_hub`: True - `hub_model_id`: lemon-mint/KoEn-Embed-Turbo-v0.7 - `hub_strategy`: checkpoint - `hub_private_repo`: 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`: 48 - `per_device_eval_batch_size`: 4 - `per_gpu_train_batch_size`: None - `per_gpu_eval_batch_size`: None - `gradient_accumulation_steps`: 1 - `eval_accumulation_steps`: None - `learning_rate`: 0.0001 - `weight_decay`: 0.0 - `adam_beta1`: 0.9 - `adam_beta2`: 0.999 - `adam_epsilon`: 1e-08 - `max_grad_norm`: 1.0 - `num_train_epochs`: 1 - `max_steps`: -1 - `lr_scheduler_type`: linear - `lr_scheduler_kwargs`: {} - `warmup_ratio`: 0.05 - `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 - `use_ipex`: False - `bf16`: False - `fp16`: True - `fp16_opt_level`: O1 - `half_precision_backend`: auto - `bf16_full_eval`: False - `fp16_full_eval`: False - `tf32`: None - `local_rank`: 0 - `ddp_backend`: None - `tpu_num_cores`: None - `tpu_metrics_debug`: False - `debug`: [] - `dataloader_drop_last`: False - `dataloader_num_workers`: 0 - `dataloader_prefetch_factor`: None - `past_index`: -1 - `disable_tqdm`: False - `remove_unused_columns`: True - `label_names`: None - `load_best_model_at_end`: False - `ignore_data_skip`: False - `fsdp`: [] - `fsdp_min_num_params`: 0 - `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False} - `fsdp_transformer_layer_cls_to_wrap`: None - `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None} - `deepspeed`: None - `label_smoothing_factor`: 0.0 - `optim`: adamw_torch - `optim_args`: None - `adafactor`: False - `group_by_length`: False - `length_column_name`: length - `ddp_find_unused_parameters`: None - `ddp_bucket_cap_mb`: None - `ddp_broadcast_buffers`: False - `dataloader_pin_memory`: True - `dataloader_persistent_workers`: False - `skip_memory_metrics`: True - `use_legacy_prediction_loop`: False - `push_to_hub`: True - `resume_from_checkpoint`: None - `hub_model_id`: lemon-mint/KoEn-Embed-Turbo-v0.7 - `hub_strategy`: checkpoint - `hub_private_repo`: True - `hub_always_push`: False - `gradient_checkpointing`: False - `gradient_checkpointing_kwargs`: None - `include_inputs_for_metrics`: False - `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 - `dispatch_batches`: None - `split_batches`: 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 - `batch_sampler`: batch_sampler - `multi_dataset_batch_sampler`: proportional
### Training Logs
Click to expand | Epoch | Step | Training Loss | loss | Ko-StrategyQA-dev_cosine_map@100 | sts-dev_spearman_cosine | sts-test_spearman_cosine | |:------:|:-----:|:-------------:|:------:|:--------------------------------:|:-----------------------:|:------------------------:| | 0 | 0 | - | - | 0.1939 | 0.7345 | - | | 0.0010 | 10 | 0.0005 | - | - | - | - | | 0.0019 | 20 | 0.0005 | - | - | - | - | | 0.0029 | 30 | 0.0005 | - | - | - | - | | 0.0038 | 40 | 0.0005 | - | - | - | - | | 0.0048 | 50 | 0.0005 | - | - | - | - | | 0.0058 | 60 | 0.0005 | - | - | - | - | | 0.0067 | 70 | 0.0005 | - | - | - | - | | 0.0077 | 80 | 0.0005 | - | - | - | - | | 0.0086 | 90 | 0.0005 | - | - | - | - | | 0.0096 | 100 | 0.0005 | - | - | - | - | | 0.0106 | 110 | 0.0005 | - | - | - | - | | 0.0115 | 120 | 0.0005 | - | - | - | - | | 0.0125 | 130 | 0.0005 | - | - | - | - | | 0.0135 | 140 | 0.0005 | - | - | - | - | | 0.0144 | 150 | 0.0005 | - | - | - | - | | 0.0154 | 160 | 0.0005 | - | - | - | - | | 0.0163 | 170 | 0.0005 | - | - | - | - | | 0.0173 | 180 | 0.0005 | - | - | - | - | | 0.0183 | 190 | 0.0005 | - | - | - | - | | 0.0192 | 200 | 0.0005 | - | - | - | - | | 0.0202 | 210 | 0.0005 | - | - | - | - | | 0.0211 | 220 | 0.0005 | - | - | - | - | | 0.0221 | 230 | 0.0005 | - | - | - | - | | 0.0231 | 240 | 0.0005 | - | - | - | - | | 0.0240 | 250 | 0.0005 | - | - | - | - | | 0.0250 | 260 | 0.0005 | - | - | - | - | | 0.0259 | 270 | 0.0005 | - | - | - | - | | 0.0269 | 280 | 0.0005 | - | - | - | - | | 0.0279 | 290 | 0.0005 | - | - | - | - | | 0.0288 | 300 | 0.0005 | - | - | - | - | | 0.0298 | 310 | 0.0005 | - | - | - | - | | 0.0307 | 320 | 0.0005 | - | - | - | - | | 0.0317 | 330 | 0.0005 | - | - | - | - | | 0.0327 | 340 | 0.0005 | - | - | - | - | | 0.0336 | 350 | 0.0005 | - | - | - | - | | 0.0346 | 360 | 0.0005 | - | - | - | - | | 0.0356 | 370 | 0.0005 | - | - | - | - | | 0.0365 | 380 | 0.0005 | - | - | - | - | | 0.0375 | 390 | 0.0005 | - | - | - | - | | 0.0384 | 400 | 0.0005 | - | - | - | - | | 0.0394 | 410 | 0.0005 | - | - | - | - | | 0.0404 | 420 | 0.0005 | - | - | - | - | | 0.0413 | 430 | 0.0005 | - | - | - | - | | 0.0423 | 440 | 0.0005 | - | - | - | - | | 0.0432 | 450 | 0.0005 | - | - | - | - | | 0.0442 | 460 | 0.0005 | - | - | - | - | | 0.0452 | 470 | 0.0005 | - | - | - | - | | 0.0461 | 480 | 0.0005 | - | - | - | - | | 0.0471 | 490 | 0.0005 | - | - | - | - | | 0.0480 | 500 | 0.0005 | - | - | - | - | | 0.0490 | 510 | 0.0005 | - | - | - | - | | 0.0500 | 520 | 0.0005 | - | - | - | - | | 0.0509 | 530 | 0.0005 | - | - | - | - | | 0.0519 | 540 | 0.0005 | - | - | - | - | | 0.0528 | 550 | 0.0005 | - | - | - | - | | 0.0538 | 560 | 0.0005 | - | - | - | - | | 0.0548 | 570 | 0.0005 | - | - | - | - | | 0.0557 | 580 | 0.0005 | - | - | - | - | | 0.0567 | 590 | 0.0005 | - | - | - | - | | 0.0577 | 600 | 0.0005 | - | - | - | - | | 0.0586 | 610 | 0.0006 | - | - | - | - | | 0.0596 | 620 | 0.0006 | - | - | - | - | | 0.0605 | 630 | 0.0006 | - | - | - | - | | 0.0615 | 640 | 0.0006 | - | - | - | - | | 0.0625 | 650 | 0.0006 | - | - | - | - | | 0.0634 | 660 | 0.0006 | - | - | - | - | | 0.0644 | 670 | 0.0006 | - | - | - | - | | 0.0653 | 680 | 0.0006 | - | - | - | - | | 0.0663 | 690 | 0.0006 | - | - | - | - | | 0.0673 | 700 | 0.0006 | - | - | - | - | | 0.0682 | 710 | 0.0005 | - | - | - | - | | 0.0692 | 720 | 0.0005 | - | - | - | - | | 0.0701 | 730 | 0.0005 | - | - | - | - | | 0.0711 | 740 | 0.0005 | - | - | - | - | | 0.0721 | 750 | 0.0005 | - | - | - | - | | 0.0730 | 760 | 0.0005 | - | - | - | - | | 0.0740 | 770 | 0.0005 | - | - | - | - | | 0.0749 | 780 | 0.0005 | - | - | - | - | | 0.0759 | 790 | 0.0005 | - | - | - | - | | 0.0769 | 800 | 0.0005 | - | - | - | - | | 0.0778 | 810 | 0.0005 | - | - | - | - | | 0.0788 | 820 | 0.0006 | - | - | - | - | | 0.0798 | 830 | 0.0006 | - | - | - | - | | 0.0807 | 840 | 0.0005 | - | - | - | - | | 0.0817 | 850 | 0.0005 | - | - | - | - | | 0.0826 | 860 | 0.0005 | - | - | - | - | | 0.0836 | 870 | 0.0005 | - | - | - | - | | 0.0846 | 880 | 0.0005 | - | - | - | - | | 0.0855 | 890 | 0.0005 | - | - | - | - | | 0.0865 | 900 | 0.0005 | - | - | - | - | | 0.0874 | 910 | 0.0005 | - | - | - | - | | 0.0884 | 920 | 0.0005 | - | - | - | - | | 0.0894 | 930 | 0.0005 | - | - | - | - | | 0.0903 | 940 | 0.0005 | - | - | - | - | | 0.0913 | 950 | 0.0005 | - | - | - | - | | 0.0922 | 960 | 0.0005 | - | - | - | - | | 0.0932 | 970 | 0.0005 | - | - | - | - | | 0.0942 | 980 | 0.0005 | - | - | - | - | | 0.0951 | 990 | 0.0005 | - | - | - | - | | 0.0961 | 1000 | 0.0005 | 0.0005 | 0.1772 | 0.7242 | - | | 0.0971 | 1010 | 0.0005 | - | - | - | - | | 0.0980 | 1020 | 0.0005 | - | - | - | - | | 0.0990 | 1030 | 0.0005 | - | - | - | - | | 0.0999 | 1040 | 0.0005 | - | - | - | - | | 0.1009 | 1050 | 0.0005 | - | - | - | - | | 0.1019 | 1060 | 0.0005 | - | - | - | - | | 0.1028 | 1070 | 0.0005 | - | - | - | - | | 0.1038 | 1080 | 0.0005 | - | - | - | - | | 0.1047 | 1090 | 0.0005 | - | - | - | - | | 0.1057 | 1100 | 0.0005 | - | - | - | - | | 0.1067 | 1110 | 0.0005 | - | - | - | - | | 0.1076 | 1120 | 0.0005 | - | - | - | - | | 0.1086 | 1130 | 0.0005 | - | - | - | - | | 0.1095 | 1140 | 0.0005 | - | - | - | - | | 0.1105 | 1150 | 0.0005 | - | - | - | - | | 0.1115 | 1160 | 0.0005 | - | - | - | - | | 0.1124 | 1170 | 0.0005 | - | - | - | - | | 0.1134 | 1180 | 0.0005 | - | - | - | - | | 0.1143 | 1190 | 0.0005 | - | - | - | - | | 0.1153 | 1200 | 0.0005 | - | - | - | - | | 0.1163 | 1210 | 0.0005 | - | - | - | - | | 0.1172 | 1220 | 0.0005 | - | - | - | - | | 0.1182 | 1230 | 0.0005 | - | - | - | - | | 0.1192 | 1240 | 0.0005 | - | - | - | - | | 0.1201 | 1250 | 0.0005 | - | - | - | - | | 0.1211 | 1260 | 0.0005 | - | - | - | - | | 0.1220 | 1270 | 0.0005 | - | - | - | - | | 0.1230 | 1280 | 0.0005 | - | - | - | - | | 0.1240 | 1290 | 0.0005 | - | - | - | - | | 0.1249 | 1300 | 0.0005 | - | - | - | - | | 0.1259 | 1310 | 0.0005 | - | - | - | - | | 0.1268 | 1320 | 0.0005 | - | - | - | - | | 0.1278 | 1330 | 0.0005 | - | - | - | - | | 0.1288 | 1340 | 0.0005 | - | - | - | - | | 0.1297 | 1350 | 0.0005 | - | - | - | - | | 0.1307 | 1360 | 0.0005 | - | - | - | - | | 0.1316 | 1370 | 0.0005 | - | - | - | - | | 0.1326 | 1380 | 0.0005 | - | - | - | - | | 0.1336 | 1390 | 0.0005 | - | - | - | - | | 0.1345 | 1400 | 0.0005 | - | - | - | - | | 0.1355 | 1410 | 0.0005 | - | - | - | - | | 0.1364 | 1420 | 0.0005 | - | - | - | - | | 0.1374 | 1430 | 0.0005 | - | - | - | - | | 0.1384 | 1440 | 0.0005 | - | - | - | - | | 0.1393 | 1450 | 0.0005 | - | - | - | - | | 0.1403 | 1460 | 0.0005 | - | - | - | - | | 0.1413 | 1470 | 0.0005 | - | - | - | - | | 0.1422 | 1480 | 0.0005 | - | - | - | - | | 0.1432 | 1490 | 0.0005 | - | - | - | - | | 0.1441 | 1500 | 0.0005 | - | - | - | - | | 0.1451 | 1510 | 0.0005 | - | - | - | - | | 0.1461 | 1520 | 0.0005 | - | - | - | - | | 0.1470 | 1530 | 0.0005 | - | - | - | - | | 0.1480 | 1540 | 0.0005 | - | - | - | - | | 0.1489 | 1550 | 0.0005 | - | - | - | - | | 0.1499 | 1560 | 0.0005 | - | - | - | - | | 0.1509 | 1570 | 0.0005 | - | - | - | - | | 0.1518 | 1580 | 0.0005 | - | - | - | - | | 0.1528 | 1590 | 0.0005 | - | - | - | - | | 0.1537 | 1600 | 0.0005 | - | - | - | - | | 0.1547 | 1610 | 0.0005 | - | - | - | - | | 0.1557 | 1620 | 0.0005 | - | - | - | - | | 0.1566 | 1630 | 0.0005 | - | - | - | - | | 0.1576 | 1640 | 0.0005 | - | - | - | - | | 0.1585 | 1650 | 0.0005 | - | - | - | - | | 0.1595 | 1660 | 0.0005 | - | - | - | - | | 0.1605 | 1670 | 0.0005 | - | - | - | - | | 0.1614 | 1680 | 0.0005 | - | - | - | - | | 0.1624 | 1690 | 0.0005 | - | - | - | - | | 0.1634 | 1700 | 0.0005 | - | - | - | - | | 0.1643 | 1710 | 0.0005 | - | - | - | - | | 0.1653 | 1720 | 0.0005 | - | - | - | - | | 0.1662 | 1730 | 0.0005 | - | - | - | - | | 0.1672 | 1740 | 0.0005 | - | - | - | - | | 0.1682 | 1750 | 0.0005 | - | - | - | - | | 0.1691 | 1760 | 0.0005 | - | - | - | - | | 0.1701 | 1770 | 0.0005 | - | - | - | - | | 0.1710 | 1780 | 0.0005 | - | - | - | - | | 0.1720 | 1790 | 0.0005 | - | - | - | - | | 0.1730 | 1800 | 0.0005 | - | - | - | - | | 0.1739 | 1810 | 0.0005 | - | - | - | - | | 0.1749 | 1820 | 0.0005 | - | - | - | - | | 0.1758 | 1830 | 0.0005 | - | - | - | - | | 0.1768 | 1840 | 0.0005 | - | - | - | - | | 0.1778 | 1850 | 0.0005 | - | - | - | - | | 0.1787 | 1860 | 0.0005 | - | - | - | - | | 0.1797 | 1870 | 0.0005 | - | - | - | - | | 0.1806 | 1880 | 0.0005 | - | - | - | - | | 0.1816 | 1890 | 0.0005 | - | - | - | - | | 0.1826 | 1900 | 0.0005 | - | - | - | - | | 0.1835 | 1910 | 0.0005 | - | - | - | - | | 0.1845 | 1920 | 0.0005 | - | - | - | - | | 0.1855 | 1930 | 0.0005 | - | - | - | - | | 0.1864 | 1940 | 0.0005 | - | - | - | - | | 0.1874 | 1950 | 0.0005 | - | - | - | - | | 0.1883 | 1960 | 0.0005 | - | - | - | - | | 0.1893 | 1970 | 0.0005 | - | - | - | - | | 0.1903 | 1980 | 0.0005 | - | - | - | - | | 0.1912 | 1990 | 0.0005 | - | - | - | - | | 0.1922 | 2000 | 0.0005 | 0.0005 | 0.1923 | 0.7319 | - | | 0.1931 | 2010 | 0.0005 | - | - | - | - | | 0.1941 | 2020 | 0.0005 | - | - | - | - | | 0.1951 | 2030 | 0.0005 | - | - | - | - | | 0.1960 | 2040 | 0.0005 | - | - | - | - | | 0.1970 | 2050 | 0.0005 | - | - | - | - | | 0.1979 | 2060 | 0.0005 | - | - | - | - | | 0.1989 | 2070 | 0.0005 | - | - | - | - | | 0.1999 | 2080 | 0.0005 | - | - | - | - | | 0.2008 | 2090 | 0.0005 | - | - | - | - | | 0.2018 | 2100 | 0.0005 | - | - | - | - | | 0.2027 | 2110 | 0.0005 | - | - | - | - | | 0.2037 | 2120 | 0.0005 | - | - | - | - | | 0.2047 | 2130 | 0.0005 | - | - | - | - | | 0.2056 | 2140 | 0.0005 | - | - | - | - | | 0.2066 | 2150 | 0.0005 | - | - | - | - | | 0.2076 | 2160 | 0.0005 | - | - | - | - | | 0.2085 | 2170 | 0.0005 | - | - | - | - | | 0.2095 | 2180 | 0.0005 | - | - | - | - | | 0.2104 | 2190 | 0.0005 | - | - | - | - | | 0.2114 | 2200 | 0.0005 | - | - | - | - | | 0.2124 | 2210 | 0.0006 | - | - | - | - | | 0.2133 | 2220 | 0.0005 | - | - | - | - | | 0.2143 | 2230 | 0.0005 | - | - | - | - | | 0.2152 | 2240 | 0.0005 | - | - | - | - | | 0.2162 | 2250 | 0.0005 | - | - | - | - | | 0.2172 | 2260 | 0.0005 | - | - | - | - | | 0.2181 | 2270 | 0.0005 | - | - | - | - | | 0.2191 | 2280 | 0.0005 | - | - | - | - | | 0.2200 | 2290 | 0.0005 | - | - | - | - | | 0.2210 | 2300 | 0.0005 | - | - | - | - | | 0.2220 | 2310 | 0.0005 | - | - | - | - | | 0.2229 | 2320 | 0.0005 | - | - | - | - | | 0.2239 | 2330 | 0.0006 | - | - | - | - | | 0.2248 | 2340 | 0.0005 | - | - | - | - | | 0.2258 | 2350 | 0.0005 | - | - | - | - | | 0.2268 | 2360 | 0.0005 | - | - | - | - | | 0.2277 | 2370 | 0.0005 | - | - | - | - | | 0.2287 | 2380 | 0.0006 | - | - | - | - | | 0.2297 | 2390 | 0.0006 | - | - | - | - | | 0.2306 | 2400 | 0.0005 | - | - | - | - | | 0.2316 | 2410 | 0.0005 | - | - | - | - | | 0.2325 | 2420 | 0.0005 | - | - | - | - | | 0.2335 | 2430 | 0.0005 | - | - | - | - | | 0.2345 | 2440 | 0.0005 | - | - | - | - | | 0.2354 | 2450 | 0.0005 | - | - | - | - | | 0.2364 | 2460 | 0.0005 | - | - | - | - | | 0.2373 | 2470 | 0.0005 | - | - | - | - | | 0.2383 | 2480 | 0.0006 | - | - | - | - | | 0.2393 | 2490 | 0.0006 | - | - | - | - | | 0.2402 | 2500 | 0.0006 | - | - | - | - | | 0.2412 | 2510 | 0.0006 | - | - | - | - | | 0.2421 | 2520 | 0.0005 | - | - | - | - | | 0.2431 | 2530 | 0.0005 | - | - | - | - | | 0.2441 | 2540 | 0.0005 | - | - | - | - | | 0.2450 | 2550 | 0.0005 | - | - | - | - | | 0.2460 | 2560 | 0.0005 | - | - | - | - | | 0.2469 | 2570 | 0.0005 | - | - | - | - | | 0.2479 | 2580 | 0.0005 | - | - | - | - | | 0.2489 | 2590 | 0.0005 | - | - | - | - | | 0.2498 | 2600 | 0.0005 | - | - | - | - | | 0.2508 | 2610 | 0.0005 | - | - | - | - | | 0.2518 | 2620 | 0.0005 | - | - | - | - | | 0.2527 | 2630 | 0.0005 | - | - | - | - | | 0.2537 | 2640 | 0.0005 | - | - | - | - | | 0.2546 | 2650 | 0.0005 | - | - | - | - | | 0.2556 | 2660 | 0.0005 | - | - | - | - | | 0.2566 | 2670 | 0.0005 | - | - | - | - | | 0.2575 | 2680 | 0.0005 | - | - | - | - | | 0.2585 | 2690 | 0.0005 | - | - | - | - | | 0.2594 | 2700 | 0.0005 | - | - | - | - | | 0.2604 | 2710 | 0.0005 | - | - | - | - | | 0.2614 | 2720 | 0.0005 | - | - | - | - | | 0.2623 | 2730 | 0.0005 | - | - | - | - | | 0.2633 | 2740 | 0.0005 | - | - | - | - | | 0.2642 | 2750 | 0.0005 | - | - | - | - | | 0.2652 | 2760 | 0.0005 | - | - | - | - | | 0.2662 | 2770 | 0.0005 | - | - | - | - | | 0.2671 | 2780 | 0.0005 | - | - | - | - | | 0.2681 | 2790 | 0.0005 | - | - | - | - | | 0.2690 | 2800 | 0.0005 | - | - | - | - | | 0.2700 | 2810 | 0.0005 | - | - | - | - | | 0.2710 | 2820 | 0.0005 | - | - | - | - | | 0.2719 | 2830 | 0.0005 | - | - | - | - | | 0.2729 | 2840 | 0.0005 | - | - | - | - | | 0.2739 | 2850 | 0.0005 | - | - | - | - | | 0.2748 | 2860 | 0.0005 | - | - | - | - | | 0.2758 | 2870 | 0.0005 | - | - | - | - | | 0.2767 | 2880 | 0.0005 | - | - | - | - | | 0.2777 | 2890 | 0.0005 | - | - | - | - | | 0.2787 | 2900 | 0.0005 | - | - | - | - | | 0.2796 | 2910 | 0.0005 | - | - | - | - | | 0.2806 | 2920 | 0.0005 | - | - | - | - | | 0.2815 | 2930 | 0.0005 | - | - | - | - | | 0.2825 | 2940 | 0.0005 | - | - | - | - | | 0.2835 | 2950 | 0.0005 | - | - | - | - | | 0.2844 | 2960 | 0.0005 | - | - | - | - | | 0.2854 | 2970 | 0.0005 | - | - | - | - | | 0.2863 | 2980 | 0.0005 | - | - | - | - | | 0.2873 | 2990 | 0.0005 | - | - | - | - | | 0.2883 | 3000 | 0.0005 | 0.0005 | 0.1970 | 0.7232 | - | | 0.2892 | 3010 | 0.0005 | - | - | - | - | | 0.2902 | 3020 | 0.0005 | - | - | - | - | | 0.2912 | 3030 | 0.0005 | - | - | - | - | | 0.2921 | 3040 | 0.0005 | - | - | - | - | | 0.2931 | 3050 | 0.0005 | - | - | - | - | | 0.2940 | 3060 | 0.0005 | - | - | - | - | | 0.2950 | 3070 | 0.0005 | - | - | - | - | | 0.2960 | 3080 | 0.0005 | - | - | - | - | | 0.2969 | 3090 | 0.0006 | - | - | - | - | | 0.2979 | 3100 | 0.0006 | - | - | - | - | | 0.2988 | 3110 | 0.0007 | - | - | - | - | | 0.2998 | 3120 | 0.0008 | - | - | - | - | | 0.3008 | 3130 | 0.0006 | - | - | - | - | | 0.3017 | 3140 | 0.0006 | - | - | - | - | | 0.3027 | 3150 | 0.0006 | - | - | - | - | | 0.3036 | 3160 | 0.0006 | - | - | - | - | | 0.3046 | 3170 | 0.0006 | - | - | - | - | | 0.3056 | 3180 | 0.0006 | - | - | - | - | | 0.3065 | 3190 | 0.0005 | - | - | - | - | | 0.3075 | 3200 | 0.0005 | - | - | - | - | | 0.3084 | 3210 | 0.0005 | - | - | - | - | | 0.3094 | 3220 | 0.0005 | - | - | - | - | | 0.3104 | 3230 | 0.0005 | - | - | - | - | | 0.3113 | 3240 | 0.0005 | - | - | - | - | | 0.3123 | 3250 | 0.0005 | - | - | - | - | | 0.3133 | 3260 | 0.0005 | - | - | - | - | | 0.3142 | 3270 | 0.0005 | - | - | - | - | | 0.3152 | 3280 | 0.0005 | - | - | - | - | | 0.3161 | 3290 | 0.0005 | - | - | - | - | | 0.3171 | 3300 | 0.0005 | - | - | - | - | | 0.3181 | 3310 | 0.0006 | - | - | - | - | | 0.3190 | 3320 | 0.0006 | - | - | - | - | | 0.3200 | 3330 | 0.0006 | - | - | - | - | | 0.3209 | 3340 | 0.0006 | - | - | - | - | | 0.3219 | 3350 | 0.0005 | - | - | - | - | | 0.3229 | 3360 | 0.0005 | - | - | - | - | | 0.3238 | 3370 | 0.0005 | - | - | - | - | | 0.3248 | 3380 | 0.0005 | - | - | - | - | | 0.3257 | 3390 | 0.0005 | - | - | - | - | | 0.3267 | 3400 | 0.0005 | - | - | - | - | | 0.3277 | 3410 | 0.0005 | - | - | - | - | | 0.3286 | 3420 | 0.0005 | - | - | - | - | | 0.3296 | 3430 | 0.0005 | - | - | - | - | | 0.3305 | 3440 | 0.0005 | - | - | - | - | | 0.3315 | 3450 | 0.0005 | - | - | - | - | | 0.3325 | 3460 | 0.0005 | - | - | - | - | | 0.3334 | 3470 | 0.0005 | - | - | - | - | | 0.3344 | 3480 | 0.0005 | - | - | - | - | | 0.3354 | 3490 | 0.0005 | - | - | - | - | | 0.3363 | 3500 | 0.0005 | - | - | - | - | | 0.3373 | 3510 | 0.0005 | - | - | - | - | | 0.3382 | 3520 | 0.0005 | - | - | - | - | | 0.3392 | 3530 | 0.0005 | - | - | - | - | | 0.3402 | 3540 | 0.0005 | - | - | - | - | | 0.3411 | 3550 | 0.0005 | - | - | - | - | | 0.3421 | 3560 | 0.0005 | - | - | - | - | | 0.3430 | 3570 | 0.0005 | - | - | - | - | | 0.3440 | 3580 | 0.0005 | - | - | - | - | | 0.3450 | 3590 | 0.0005 | - | - | - | - | | 0.3459 | 3600 | 0.0005 | - | - | - | - | | 0.3469 | 3610 | 0.0005 | - | - | - | - | | 0.3478 | 3620 | 0.0005 | - | - | - | - | | 0.3488 | 3630 | 0.0005 | - | - | - | - | | 0.3498 | 3640 | 0.0005 | - | - | - | - | | 0.3507 | 3650 | 0.0005 | - | - | - | - | | 0.3517 | 3660 | 0.0005 | - | - | - | - | | 0.3526 | 3670 | 0.0005 | - | - | - | - | | 0.3536 | 3680 | 0.0005 | - | - | - | - | | 0.3546 | 3690 | 0.0005 | - | - | - | - | | 0.3555 | 3700 | 0.0005 | - | - | - | - | | 0.3565 | 3710 | 0.0005 | - | - | - | - | | 0.3575 | 3720 | 0.0005 | - | - | - | - | | 0.3584 | 3730 | 0.0005 | - | - | - | - | | 0.3594 | 3740 | 0.0005 | - | - | - | - | | 0.3603 | 3750 | 0.0005 | - | - | - | - | | 0.3613 | 3760 | 0.0005 | - | - | - | - | | 0.3623 | 3770 | 0.0005 | - | - | - | - | | 0.3632 | 3780 | 0.0005 | - | - | - | - | | 0.3642 | 3790 | 0.0005 | - | - | - | - | | 0.3651 | 3800 | 0.0005 | - | - | - | - | | 0.3661 | 3810 | 0.0005 | - | - | - | - | | 0.3671 | 3820 | 0.0005 | - | - | - | - | | 0.3680 | 3830 | 0.0005 | - | - | - | - | | 0.3690 | 3840 | 0.0005 | - | - | - | - | | 0.3699 | 3850 | 0.0005 | - | - | - | - | | 0.3709 | 3860 | 0.0005 | - | - | - | - | | 0.3719 | 3870 | 0.0005 | - | - | - | - | | 0.3728 | 3880 | 0.0005 | - | - | - | - | | 0.3738 | 3890 | 0.0005 | - | - | - | - | | 0.3747 | 3900 | 0.0005 | - | - | - | - | | 0.3757 | 3910 | 0.0005 | - | - | - | - | | 0.3767 | 3920 | 0.0005 | - | - | - | - | | 0.3776 | 3930 | 0.0005 | - | - | - | - | | 0.3786 | 3940 | 0.0005 | - | - | - | - | | 0.3796 | 3950 | 0.0005 | - | - | - | - | | 0.3805 | 3960 | 0.0005 | - | - | - | - | | 0.3815 | 3970 | 0.0005 | - | - | - | - | | 0.3824 | 3980 | 0.0005 | - | - | - | - | | 0.3834 | 3990 | 0.0005 | - | - | - | - | | 0.3844 | 4000 | 0.0005 | 0.0005 | 0.1905 | 0.7171 | - | | 0.3853 | 4010 | 0.0005 | - | - | - | - | | 0.3863 | 4020 | 0.0005 | - | - | - | - | | 0.3872 | 4030 | 0.0005 | - | - | - | - | | 0.3882 | 4040 | 0.0005 | - | - | - | - | | 0.3892 | 4050 | 0.0006 | - | - | - | - | | 0.3901 | 4060 | 0.0006 | - | - | - | - | | 0.3911 | 4070 | 0.0006 | - | - | - | - | | 0.3920 | 4080 | 0.0006 | - | - | - | - | | 0.3930 | 4090 | 0.0006 | - | - | - | - | | 0.3940 | 4100 | 0.0005 | - | - | - | - | | 0.3949 | 4110 | 0.0005 | - | - | - | - | | 0.3959 | 4120 | 0.0005 | - | - | - | - | | 0.3968 | 4130 | 0.0005 | - | - | - | - | | 0.3978 | 4140 | 0.0005 | - | - | - | - | | 0.3988 | 4150 | 0.0005 | - | - | - | - | | 0.3997 | 4160 | 0.0005 | - | - | - | - | | 0.4007 | 4170 | 0.0006 | - | - | - | - | | 0.4017 | 4180 | 0.0006 | - | - | - | - | | 0.4026 | 4190 | 0.0006 | - | - | - | - | | 0.4036 | 4200 | 0.0006 | - | - | - | - | | 0.4045 | 4210 | 0.0005 | - | - | - | - | | 0.4055 | 4220 | 0.0005 | - | - | - | - | | 0.4065 | 4230 | 0.0005 | - | - | - | - | | 0.4074 | 4240 | 0.0005 | - | - | - | - | | 0.4084 | 4250 | 0.0005 | - | - | - | - | | 0.4093 | 4260 | 0.0006 | - | - | - | - | | 0.4103 | 4270 | 0.0006 | - | - | - | - | | 0.4113 | 4280 | 0.0006 | - | - | - | - | | 0.4122 | 4290 | 0.0006 | - | - | - | - | | 0.4132 | 4300 | 0.0005 | - | - | - | - | | 0.4141 | 4310 | 0.0005 | - | - | - | - | | 0.4151 | 4320 | 0.0005 | - | - | - | - | | 0.4161 | 4330 | 0.0005 | - | - | - | - | | 0.4170 | 4340 | 0.0005 | - | - | - | - | | 0.4180 | 4350 | 0.0005 | - | - | - | - | | 0.4189 | 4360 | 0.0005 | - | - | - | - | | 0.4199 | 4370 | 0.0005 | - | - | - | - | | 0.4209 | 4380 | 0.0005 | - | - | - | - | | 0.4218 | 4390 | 0.0005 | - | - | - | - | | 0.4228 | 4400 | 0.0005 | - | - | - | - | | 0.4238 | 4410 | 0.0005 | - | - | - | - | | 0.4247 | 4420 | 0.0005 | - | - | - | - | | 0.4257 | 4430 | 0.0005 | - | - | - | - | | 0.4266 | 4440 | 0.0005 | - | - | - | - | | 0.4276 | 4450 | 0.0005 | - | - | - | - | | 0.4286 | 4460 | 0.0005 | - | - | - | - | | 0.4295 | 4470 | 0.0005 | - | - | - | - | | 0.4305 | 4480 | 0.0005 | - | - | - | - | | 0.4314 | 4490 | 0.0005 | - | - | - | - | | 0.4324 | 4500 | 0.0005 | - | - | - | - | | 0.4334 | 4510 | 0.0005 | - | - | - | - | | 0.4343 | 4520 | 0.0005 | - | - | - | - | | 0.4353 | 4530 | 0.0005 | - | - | - | - | | 0.4362 | 4540 | 0.0005 | - | - | - | - | | 0.4372 | 4550 | 0.0005 | - | - | - | - | | 0.4382 | 4560 | 0.0005 | - | - | - | - | | 0.4391 | 4570 | 0.0005 | - | - | - | - | | 0.4401 | 4580 | 0.0005 | - | - | - | - | | 0.4410 | 4590 | 0.0005 | - | - | - | - | | 0.4420 | 4600 | 0.0005 | - | - | - | - | | 0.4430 | 4610 | 0.0005 | - | - | - | - | | 0.4439 | 4620 | 0.0005 | - | - | - | - | | 0.4449 | 4630 | 0.0005 | - | - | - | - | | 0.4459 | 4640 | 0.0005 | - | - | - | - | | 0.4468 | 4650 | 0.0005 | - | - | - | - | | 0.4478 | 4660 | 0.0005 | - | - | - | - | | 0.4487 | 4670 | 0.0005 | - | - | - | - | | 0.4497 | 4680 | 0.0005 | - | - | - | - | | 0.4507 | 4690 | 0.0005 | - | - | - | - | | 0.4516 | 4700 | 0.0005 | - | - | - | - | | 0.4526 | 4710 | 0.0005 | - | - | - | - | | 0.4535 | 4720 | 0.0005 | - | - | - | - | | 0.4545 | 4730 | 0.0005 | - | - | - | - | | 0.4555 | 4740 | 0.0005 | - | - | - | - | | 0.4564 | 4750 | 0.0005 | - | - | - | - | | 0.4574 | 4760 | 0.0005 | - | - | - | - | | 0.4583 | 4770 | 0.0005 | - | - | - | - | | 0.4593 | 4780 | 0.0005 | - | - | - | - | | 0.4603 | 4790 | 0.0005 | - | - | - | - | | 0.4612 | 4800 | 0.0005 | - | - | - | - | | 0.4622 | 4810 | 0.0005 | - | - | - | - | | 0.4631 | 4820 | 0.0005 | - | - | - | - | | 0.4641 | 4830 | 0.0005 | - | - | - | - | | 0.4651 | 4840 | 0.0005 | - | - | - | - | | 0.4660 | 4850 | 0.0005 | - | - | - | - | | 0.4670 | 4860 | 0.0005 | - | - | - | - | | 0.4680 | 4870 | 0.0005 | - | - | - | - | | 0.4689 | 4880 | 0.0005 | - | - | - | - | | 0.4699 | 4890 | 0.0005 | - | - | - | - | | 0.4708 | 4900 | 0.0005 | - | - | - | - | | 0.4718 | 4910 | 0.0005 | - | - | - | - | | 0.4728 | 4920 | 0.0005 | - | - | - | - | | 0.4737 | 4930 | 0.0005 | - | - | - | - | | 0.4747 | 4940 | 0.0005 | - | - | - | - | | 0.4756 | 4950 | 0.0005 | - | - | - | - | | 0.4766 | 4960 | 0.0005 | - | - | - | - | | 0.4776 | 4970 | 0.0005 | - | - | - | - | | 0.4785 | 4980 | 0.0005 | - | - | - | - | | 0.4795 | 4990 | 0.0005 | - | - | - | - | | 0.4804 | 5000 | 0.0005 | 0.0005 | 0.1699 | 0.7125 | - | | 0.4814 | 5010 | 0.0005 | - | - | - | - | | 0.4824 | 5020 | 0.0005 | - | - | - | - | | 0.4833 | 5030 | 0.0005 | - | - | - | - | | 0.4843 | 5040 | 0.0005 | - | - | - | - | | 0.4853 | 5050 | 0.0005 | - | - | - | - | | 0.4862 | 5060 | 0.0005 | - | - | - | - | | 0.4872 | 5070 | 0.0005 | - | - | - | - | | 0.4881 | 5080 | 0.0005 | - | - | - | - | | 0.4891 | 5090 | 0.0005 | - | - | - | - | | 0.4901 | 5100 | 0.0005 | - | - | - | - | | 0.4910 | 5110 | 0.0005 | - | - | - | - | | 0.4920 | 5120 | 0.0005 | - | - | - | - | | 0.4929 | 5130 | 0.0005 | - | - | - | - | | 0.4939 | 5140 | 0.0005 | - | - | - | - | | 0.4949 | 5150 | 0.0005 | - | - | - | - | | 0.4958 | 5160 | 0.0005 | - | - | - | - | | 0.4968 | 5170 | 0.0005 | - | - | - | - | | 0.4977 | 5180 | 0.0005 | - | - | - | - | | 0.4987 | 5190 | 0.0005 | - | - | - | - | | 0.4997 | 5200 | 0.0005 | - | - | - | - | | 0.5006 | 5210 | 0.0005 | - | - | - | - | | 0.5016 | 5220 | 0.0005 | - | - | - | - | | 0.5025 | 5230 | 0.0005 | - | - | - | - | | 0.5035 | 5240 | 0.0005 | - | - | - | - | | 0.5045 | 5250 | 0.0005 | - | - | - | - | | 0.5054 | 5260 | 0.0005 | - | - | - | - | | 0.5064 | 5270 | 0.0005 | - | - | - | - | | 0.5074 | 5280 | 0.0005 | - | - | - | - | | 0.5083 | 5290 | 0.0005 | - | - | - | - | | 0.5093 | 5300 | 0.0005 | - | - | - | - | | 0.5102 | 5310 | 0.0005 | - | - | - | - | | 0.5112 | 5320 | 0.0005 | - | - | - | - | | 0.5122 | 5330 | 0.0005 | - | - | - | - | | 0.5131 | 5340 | 0.0005 | - | - | - | - | | 0.5141 | 5350 | 0.0005 | - | - | - | - | | 0.5150 | 5360 | 0.0005 | - | - | - | - | | 0.5160 | 5370 | 0.0005 | - | - | - | - | | 0.5170 | 5380 | 0.0005 | - | - | - | - | | 0.5179 | 5390 | 0.0005 | - | - | - | - | | 0.5189 | 5400 | 0.0005 | - | - | - | - | | 0.5198 | 5410 | 0.0005 | - | - | - | - | | 0.5208 | 5420 | 0.0005 | - | - | - | - | | 0.5218 | 5430 | 0.0005 | - | - | - | - | | 0.5227 | 5440 | 0.0005 | - | - | - | - | | 0.5237 | 5450 | 0.0005 | - | - | - | - | | 0.5246 | 5460 | 0.0005 | - | - | - | - | | 0.5256 | 5470 | 0.0005 | - | - | - | - | | 0.5266 | 5480 | 0.0005 | - | - | - | - | | 0.5275 | 5490 | 0.0005 | - | - | - | - | | 0.5285 | 5500 | 0.0005 | - | - | - | - | | 0.5295 | 5510 | 0.0005 | - | - | - | - | | 0.5304 | 5520 | 0.0005 | - | - | - | - | | 0.5314 | 5530 | 0.0005 | - | - | - | - | | 0.5323 | 5540 | 0.0005 | - | - | - | - | | 0.5333 | 5550 | 0.0005 | - | - | - | - | | 0.5343 | 5560 | 0.0005 | - | - | - | - | | 0.5352 | 5570 | 0.0005 | - | - | - | - | | 0.5362 | 5580 | 0.0005 | - | - | - | - | | 0.5371 | 5590 | 0.0005 | - | - | - | - | | 0.5381 | 5600 | 0.0005 | - | - | - | - | | 0.5391 | 5610 | 0.0005 | - | - | - | - | | 0.5400 | 5620 | 0.0005 | - | - | - | - | | 0.5410 | 5630 | 0.0005 | - | - | - | - | | 0.5419 | 5640 | 0.0005 | - | - | - | - | | 0.5429 | 5650 | 0.0005 | - | - | - | - | | 0.5439 | 5660 | 0.0005 | - | - | - | - | | 0.5448 | 5670 | 0.0005 | - | - | - | - | | 0.5458 | 5680 | 0.0005 | - | - | - | - | | 0.5467 | 5690 | 0.0005 | - | - | - | - | | 0.5477 | 5700 | 0.0005 | - | - | - | - | | 0.5487 | 5710 | 0.0005 | - | - | - | - | | 0.5496 | 5720 | 0.0005 | - | - | - | - | | 0.5506 | 5730 | 0.0005 | - | - | - | - | | 0.5516 | 5740 | 0.0005 | - | - | - | - | | 0.5525 | 5750 | 0.0005 | - | - | - | - | | 0.5535 | 5760 | 0.0005 | - | - | - | - | | 0.5544 | 5770 | 0.0005 | - | - | - | - | | 0.5554 | 5780 | 0.0005 | - | - | - | - | | 0.5564 | 5790 | 0.0005 | - | - | - | - | | 0.5573 | 5800 | 0.0005 | - | - | - | - | | 0.5583 | 5810 | 0.0005 | - | - | - | - | | 0.5592 | 5820 | 0.0005 | - | - | - | - | | 0.5602 | 5830 | 0.0005 | - | - | - | - | | 0.5612 | 5840 | 0.0005 | - | - | - | - | | 0.5621 | 5850 | 0.0005 | - | - | - | - | | 0.5631 | 5860 | 0.0005 | - | - | - | - | | 0.5640 | 5870 | 0.0005 | - | - | - | - | | 0.5650 | 5880 | 0.0005 | - | - | - | - | | 0.5660 | 5890 | 0.0005 | - | - | - | - | | 0.5669 | 5900 | 0.0005 | - | - | - | - | | 0.5679 | 5910 | 0.0005 | - | - | - | - | | 0.5688 | 5920 | 0.0005 | - | - | - | - | | 0.5698 | 5930 | 0.0005 | - | - | - | - | | 0.5708 | 5940 | 0.0005 | - | - | - | - | | 0.5717 | 5950 | 0.0005 | - | - | - | - | | 0.5727 | 5960 | 0.0005 | - | - | - | - | | 0.5737 | 5970 | 0.0005 | - | - | - | - | | 0.5746 | 5980 | 0.0005 | - | - | - | - | | 0.5756 | 5990 | 0.0005 | - | - | - | - | | 0.5765 | 6000 | 0.0005 | 0.0005 | 0.1619 | 0.7043 | - | | 0.5775 | 6010 | 0.0005 | - | - | - | - | | 0.5785 | 6020 | 0.0005 | - | - | - | - | | 0.5794 | 6030 | 0.0005 | - | - | - | - | | 0.5804 | 6040 | 0.0005 | - | - | - | - | | 0.5813 | 6050 | 0.0005 | - | - | - | - | | 0.5823 | 6060 | 0.0005 | - | - | - | - | | 0.5833 | 6070 | 0.0005 | - | - | - | - | | 0.5842 | 6080 | 0.0005 | - | - | - | - | | 0.5852 | 6090 | 0.0005 | - | - | - | - | | 0.5861 | 6100 | 0.0005 | - | - | - | - | | 0.5871 | 6110 | 0.0005 | - | - | - | - | | 0.5881 | 6120 | 0.0005 | - | - | - | - | | 0.5890 | 6130 | 0.0005 | - | - | - | - | | 0.5900 | 6140 | 0.0005 | - | - | - | - | | 0.5909 | 6150 | 0.0005 | - | - | - | - | | 0.5919 | 6160 | 0.0005 | - | - | - | - | | 0.5929 | 6170 | 0.0005 | - | - | - | - | | 0.5938 | 6180 | 0.0005 | - | - | - | - | | 0.5948 | 6190 | 0.0005 | - | - | - | - | | 0.5958 | 6200 | 0.0005 | - | - | - | - | | 0.5967 | 6210 | 0.0005 | - | - | - | - | | 0.5977 | 6220 | 0.0005 | - | - | - | - | | 0.5986 | 6230 | 0.0005 | - | - | - | - | | 0.5996 | 6240 | 0.0005 | - | - | - | - | | 0.6006 | 6250 | 0.0005 | - | - | - | - | | 0.6015 | 6260 | 0.0005 | - | - | - | - | | 0.6025 | 6270 | 0.0005 | - | - | - | - | | 0.6034 | 6280 | 0.0005 | - | - | - | - | | 0.6044 | 6290 | 0.0005 | - | - | - | - | | 0.6054 | 6300 | 0.0005 | - | - | - | - | | 0.6063 | 6310 | 0.0005 | - | - | - | - | | 0.6073 | 6320 | 0.0005 | - | - | - | - | | 0.6082 | 6330 | 0.0005 | - | - | - | - | | 0.6092 | 6340 | 0.0005 | - | - | - | - | | 0.6102 | 6350 | 0.0005 | - | - | - | - | | 0.6111 | 6360 | 0.0005 | - | - | - | - | | 0.6121 | 6370 | 0.0005 | - | - | - | - | | 0.6130 | 6380 | 0.0005 | - | - | - | - | | 0.6140 | 6390 | 0.0005 | - | - | - | - | | 0.6150 | 6400 | 0.0005 | - | - | - | - | | 0.6159 | 6410 | 0.0005 | - | - | - | - | | 0.6169 | 6420 | 0.0005 | - | - | - | - | | 0.6179 | 6430 | 0.0005 | - | - | - | - | | 0.6188 | 6440 | 0.0005 | - | - | - | - | | 0.6198 | 6450 | 0.0005 | - | - | - | - | | 0.6207 | 6460 | 0.0005 | - | - | - | - | | 0.6217 | 6470 | 0.0005 | - | - | - | - | | 0.6227 | 6480 | 0.0005 | - | - | - | - | | 0.6236 | 6490 | 0.0005 | - | - | - | - | | 0.6246 | 6500 | 0.0005 | - | - | - | - | | 0.6255 | 6510 | 0.0005 | - | - | - | - | | 0.6265 | 6520 | 0.0005 | - | - | - | - | | 0.6275 | 6530 | 0.0005 | - | - | - | - | | 0.6284 | 6540 | 0.0005 | - | - | - | - | | 0.6294 | 6550 | 0.0005 | - | - | - | - | | 0.6303 | 6560 | 0.0005 | - | - | - | - | | 0.6313 | 6570 | 0.0005 | - | - | - | - | | 0.6323 | 6580 | 0.0005 | - | - | - | - | | 0.6332 | 6590 | 0.0005 | - | - | - | - | | 0.6342 | 6600 | 0.0005 | - | - | - | - | | 0.6351 | 6610 | 0.0005 | - | - | - | - | | 0.6361 | 6620 | 0.0005 | - | - | - | - | | 0.6371 | 6630 | 0.0005 | - | - | - | - | | 0.6380 | 6640 | 0.0005 | - | - | - | - | | 0.6390 | 6650 | 0.0005 | - | - | - | - | | 0.6400 | 6660 | 0.0005 | - | - | - | - | | 0.6409 | 6670 | 0.0005 | - | - | - | - | | 0.6419 | 6680 | 0.0005 | - | - | - | - | | 0.6428 | 6690 | 0.0005 | - | - | - | - | | 0.6438 | 6700 | 0.0005 | - | - | - | - | | 0.6448 | 6710 | 0.0005 | - | - | - | - | | 0.6457 | 6720 | 0.0005 | - | - | - | - | | 0.6467 | 6730 | 0.0005 | - | - | - | - | | 0.6476 | 6740 | 0.0005 | - | - | - | - | | 0.6486 | 6750 | 0.0005 | - | - | - | - | | 0.6496 | 6760 | 0.0005 | - | - | - | - | | 0.6505 | 6770 | 0.0005 | - | - | - | - | | 0.6515 | 6780 | 0.0005 | - | - | - | - | | 0.6524 | 6790 | 0.0005 | - | - | - | - | | 0.6534 | 6800 | 0.0005 | - | - | - | - | | 0.6544 | 6810 | 0.0005 | - | - | - | - | | 0.6553 | 6820 | 0.0005 | - | - | - | - | | 0.6563 | 6830 | 0.0005 | - | - | - | - | | 0.6572 | 6840 | 0.0005 | - | - | - | - | | 0.6582 | 6850 | 0.0005 | - | - | - | - | | 0.6592 | 6860 | 0.0005 | - | - | - | - | | 0.6601 | 6870 | 0.0005 | - | - | - | - | | 0.6611 | 6880 | 0.0005 | - | - | - | - | | 0.6621 | 6890 | 0.0005 | - | - | - | - | | 0.6630 | 6900 | 0.0005 | - | - | - | - | | 0.6640 | 6910 | 0.0005 | - | - | - | - | | 0.6649 | 6920 | 0.0005 | - | - | - | - | | 0.6659 | 6930 | 0.0005 | - | - | - | - | | 0.6669 | 6940 | 0.0005 | - | - | - | - | | 0.6678 | 6950 | 0.0005 | - | - | - | - | | 0.6688 | 6960 | 0.0005 | - | - | - | - | | 0.6697 | 6970 | 0.0005 | - | - | - | - | | 0.6707 | 6980 | 0.0005 | - | - | - | - | | 0.6717 | 6990 | 0.0005 | - | - | - | - | | 0.6726 | 7000 | 0.0005 | 0.0005 | 0.1697 | 0.7102 | - | | 0.6736 | 7010 | 0.0005 | - | - | - | - | | 0.6745 | 7020 | 0.0005 | - | - | - | - | | 0.6755 | 7030 | 0.0005 | - | - | - | - | | 0.6765 | 7040 | 0.0005 | - | - | - | - | | 0.6774 | 7050 | 0.0005 | - | - | - | - | | 0.6784 | 7060 | 0.0005 | - | - | - | - | | 0.6794 | 7070 | 0.0005 | - | - | - | - | | 0.6803 | 7080 | 0.0005 | - | - | - | - | | 0.6813 | 7090 | 0.0005 | - | - | - | - | | 0.6822 | 7100 | 0.0005 | - | - | - | - | | 0.6832 | 7110 | 0.0005 | - | - | - | - | | 0.6842 | 7120 | 0.0005 | - | - | - | - | | 0.6851 | 7130 | 0.0005 | - | - | - | - | | 0.6861 | 7140 | 0.0005 | - | - | - | - | | 0.6870 | 7150 | 0.0005 | - | - | - | - | | 0.6880 | 7160 | 0.0005 | - | - | - | - | | 0.6890 | 7170 | 0.0005 | - | - | - | - | | 0.6899 | 7180 | 0.0005 | - | - | - | - | | 0.6909 | 7190 | 0.0005 | - | - | - | - | | 0.6918 | 7200 | 0.0005 | - | - | - | - | | 0.6928 | 7210 | 0.0005 | - | - | - | - | | 0.6938 | 7220 | 0.0005 | - | - | - | - | | 0.6947 | 7230 | 0.0005 | - | - | - | - | | 0.6957 | 7240 | 0.0005 | - | - | - | - | | 0.6966 | 7250 | 0.0005 | - | - | - | - | | 0.6976 | 7260 | 0.0005 | - | - | - | - | | 0.6986 | 7270 | 0.0005 | - | - | - | - | | 0.6995 | 7280 | 0.0005 | - | - | - | - | | 0.7005 | 7290 | 0.0005 | - | - | - | - | | 0.7015 | 7300 | 0.0005 | - | - | - | - | | 0.7024 | 7310 | 0.0005 | - | - | - | - | | 0.7034 | 7320 | 0.0005 | - | - | - | - | | 0.7043 | 7330 | 0.0005 | - | - | - | - | | 0.7053 | 7340 | 0.0005 | - | - | - | - | | 0.7063 | 7350 | 0.0005 | - | - | - | - | | 0.7072 | 7360 | 0.0005 | - | - | - | - | | 0.7082 | 7370 | 0.0005 | - | - | - | - | | 0.7091 | 7380 | 0.0005 | - | - | - | - | | 0.7101 | 7390 | 0.0005 | - | - | - | - | | 0.7111 | 7400 | 0.0005 | - | - | - | - | | 0.7120 | 7410 | 0.0005 | - | - | - | - | | 0.7130 | 7420 | 0.0005 | - | - | - | - | | 0.7139 | 7430 | 0.0005 | - | - | - | - | | 0.7149 | 7440 | 0.0005 | - | - | - | - | | 0.7159 | 7450 | 0.0005 | - | - | - | - | | 0.7168 | 7460 | 0.0005 | - | - | - | - | | 0.7178 | 7470 | 0.0005 | - | - | - | - | | 0.7187 | 7480 | 0.0005 | - | - | - | - | | 0.7197 | 7490 | 0.0005 | - | - | - | - | | 0.7207 | 7500 | 0.0005 | - | - | - | - | | 0.7216 | 7510 | 0.0005 | - | - | - | - | | 0.7226 | 7520 | 0.0005 | - | - | - | - | | 0.7236 | 7530 | 0.0005 | - | - | - | - | | 0.7245 | 7540 | 0.0005 | - | - | - | - | | 0.7255 | 7550 | 0.0005 | - | - | - | - | | 0.7264 | 7560 | 0.0005 | - | - | - | - | | 0.7274 | 7570 | 0.0005 | - | - | - | - | | 0.7284 | 7580 | 0.0005 | - | - | - | - | | 0.7293 | 7590 | 0.0005 | - | - | - | - | | 0.7303 | 7600 | 0.0005 | - | - | - | - | | 0.7312 | 7610 | 0.0005 | - | - | - | - | | 0.7322 | 7620 | 0.0005 | - | - | - | - | | 0.7332 | 7630 | 0.0005 | - | - | - | - | | 0.7341 | 7640 | 0.0005 | - | - | - | - | | 0.7351 | 7650 | 0.0005 | - | - | - | - | | 0.7360 | 7660 | 0.0005 | - | - | - | - | | 0.7370 | 7670 | 0.0005 | - | - | - | - | | 0.7380 | 7680 | 0.0005 | - | - | - | - | | 0.7389 | 7690 | 0.0005 | - | - | - | - | | 0.7399 | 7700 | 0.0005 | - | - | - | - | | 0.7408 | 7710 | 0.0005 | - | - | - | - | | 0.7418 | 7720 | 0.0005 | - | - | - | - | | 0.7428 | 7730 | 0.0005 | - | - | - | - | | 0.7437 | 7740 | 0.0005 | - | - | - | - | | 0.7447 | 7750 | 0.0005 | - | - | - | - | | 0.7457 | 7760 | 0.0005 | - | - | - | - | | 0.7466 | 7770 | 0.0005 | - | - | - | - | | 0.7476 | 7780 | 0.0005 | - | - | - | - | | 0.7485 | 7790 | 0.0005 | - | - | - | - | | 0.7495 | 7800 | 0.0005 | - | - | - | - | | 0.7505 | 7810 | 0.0005 | - | - | - | - | | 0.7514 | 7820 | 0.0005 | - | - | - | - | | 0.7524 | 7830 | 0.0005 | - | - | - | - | | 0.7533 | 7840 | 0.0005 | - | - | - | - | | 0.7543 | 7850 | 0.0005 | - | - | - | - | | 0.7553 | 7860 | 0.0005 | - | - | - | - | | 0.7562 | 7870 | 0.0005 | - | - | - | - | | 0.7572 | 7880 | 0.0005 | - | - | - | - | | 0.7581 | 7890 | 0.0005 | - | - | - | - | | 0.7591 | 7900 | 0.0005 | - | - | - | - | | 0.7601 | 7910 | 0.0005 | - | - | - | - | | 0.7610 | 7920 | 0.0005 | - | - | - | - | | 0.7620 | 7930 | 0.0005 | - | - | - | - | | 0.7629 | 7940 | 0.0005 | - | - | - | - | | 0.7639 | 7950 | 0.0005 | - | - | - | - | | 0.7649 | 7960 | 0.0005 | - | - | - | - | | 0.7658 | 7970 | 0.0005 | - | - | - | - | | 0.7668 | 7980 | 0.0005 | - | - | - | - | | 0.7678 | 7990 | 0.0005 | - | - | - | - | | 0.7687 | 8000 | 0.0005 | 0.0004 | 0.1568 | 0.7088 | - | | 0.7697 | 8010 | 0.0005 | - | - | - | - | | 0.7706 | 8020 | 0.0005 | - | - | - | - | | 0.7716 | 8030 | 0.0005 | - | - | - | - | | 0.7726 | 8040 | 0.0005 | - | - | - | - | | 0.7735 | 8050 | 0.0005 | - | - | - | - | | 0.7745 | 8060 | 0.0005 | - | - | - | - | | 0.7754 | 8070 | 0.0005 | - | - | - | - | | 0.7764 | 8080 | 0.0005 | - | - | - | - | | 0.7774 | 8090 | 0.0005 | - | - | - | - | | 0.7783 | 8100 | 0.0005 | - | - | - | - | | 0.7793 | 8110 | 0.0005 | - | - | - | - | | 0.7802 | 8120 | 0.0005 | - | - | - | - | | 0.7812 | 8130 | 0.0005 | - | - | - | - | | 0.7822 | 8140 | 0.0005 | - | - | - | - | | 0.7831 | 8150 | 0.0005 | - | - | - | - | | 0.7841 | 8160 | 0.0005 | - | - | - | - | | 0.7850 | 8170 | 0.0005 | - | - | - | - | | 0.7860 | 8180 | 0.0005 | - | - | - | - | | 0.7870 | 8190 | 0.0005 | - | - | - | - | | 0.7879 | 8200 | 0.0005 | - | - | - | - | | 0.7889 | 8210 | 0.0005 | - | - | - | - | | 0.7899 | 8220 | 0.0005 | - | - | - | - | | 0.7908 | 8230 | 0.0005 | - | - | - | - | | 0.7918 | 8240 | 0.0005 | - | - | - | - | | 0.7927 | 8250 | 0.0005 | - | - | - | - | | 0.7937 | 8260 | 0.0005 | - | - | - | - | | 0.7947 | 8270 | 0.0005 | - | - | - | - | | 0.7956 | 8280 | 0.0005 | - | - | - | - | | 0.7966 | 8290 | 0.0005 | - | - | - | - | | 0.7975 | 8300 | 0.0005 | - | - | - | - | | 0.7985 | 8310 | 0.0005 | - | - | - | - | | 0.7995 | 8320 | 0.0005 | - | - | - | - | | 0.8004 | 8330 | 0.0005 | - | - | - | - | | 0.8014 | 8340 | 0.0005 | - | - | - | - | | 0.8023 | 8350 | 0.0005 | - | - | - | - | | 0.8033 | 8360 | 0.0005 | - | - | - | - | | 0.8043 | 8370 | 0.0005 | - | - | - | - | | 0.8052 | 8380 | 0.0005 | - | - | - | - | | 0.8062 | 8390 | 0.0005 | - | - | - | - | | 0.8071 | 8400 | 0.0005 | - | - | - | - | | 0.8081 | 8410 | 0.0005 | - | - | - | - | | 0.8091 | 8420 | 0.0005 | - | - | - | - | | 0.8100 | 8430 | 0.0005 | - | - | - | - | | 0.8110 | 8440 | 0.0005 | - | - | - | - | | 0.8120 | 8450 | 0.0005 | - | - | - | - | | 0.8129 | 8460 | 0.0005 | - | - | - | - | | 0.8139 | 8470 | 0.0005 | - | - | - | - | | 0.8148 | 8480 | 0.0005 | - | - | - | - | | 0.8158 | 8490 | 0.0005 | - | - | - | - | | 0.8168 | 8500 | 0.0005 | - | - | - | - | | 0.8177 | 8510 | 0.0005 | - | - | - | - | | 0.8187 | 8520 | 0.0005 | - | - | - | - | | 0.8196 | 8530 | 0.0005 | - | - | - | - | | 0.8206 | 8540 | 0.0005 | - | - | - | - | | 0.8216 | 8550 | 0.0005 | - | - | - | - | | 0.8225 | 8560 | 0.0005 | - | - | - | - | | 0.8235 | 8570 | 0.0005 | - | - | - | - | | 0.8244 | 8580 | 0.0005 | - | - | - | - | | 0.8254 | 8590 | 0.0005 | - | - | - | - | | 0.8264 | 8600 | 0.0005 | - | - | - | - | | 0.8273 | 8610 | 0.0005 | - | - | - | - | | 0.8283 | 8620 | 0.0005 | - | - | - | - | | 0.8292 | 8630 | 0.0005 | - | - | - | - | | 0.8302 | 8640 | 0.0005 | - | - | - | - | | 0.8312 | 8650 | 0.0005 | - | - | - | - | | 0.8321 | 8660 | 0.0005 | - | - | - | - | | 0.8331 | 8670 | 0.0005 | - | - | - | - | | 0.8341 | 8680 | 0.0005 | - | - | - | - | | 0.8350 | 8690 | 0.0005 | - | - | - | - | | 0.8360 | 8700 | 0.0005 | - | - | - | - | | 0.8369 | 8710 | 0.0005 | - | - | - | - | | 0.8379 | 8720 | 0.0005 | - | - | - | - | | 0.8389 | 8730 | 0.0005 | - | - | - | - | | 0.8398 | 8740 | 0.0005 | - | - | - | - | | 0.8408 | 8750 | 0.0005 | - | - | - | - | | 0.8417 | 8760 | 0.0005 | - | - | - | - | | 0.8427 | 8770 | 0.0005 | - | - | - | - | | 0.8437 | 8780 | 0.0005 | - | - | - | - | | 0.8446 | 8790 | 0.0005 | - | - | - | - | | 0.8456 | 8800 | 0.0005 | - | - | - | - | | 0.8465 | 8810 | 0.0005 | - | - | - | - | | 0.8475 | 8820 | 0.0005 | - | - | - | - | | 0.8485 | 8830 | 0.0005 | - | - | - | - | | 0.8494 | 8840 | 0.0005 | - | - | - | - | | 0.8504 | 8850 | 0.0005 | - | - | - | - | | 0.8514 | 8860 | 0.0005 | - | - | - | - | | 0.8523 | 8870 | 0.0005 | - | - | - | - | | 0.8533 | 8880 | 0.0005 | - | - | - | - | | 0.8542 | 8890 | 0.0005 | - | - | - | - | | 0.8552 | 8900 | 0.0005 | - | - | - | - | | 0.8562 | 8910 | 0.0005 | - | - | - | - | | 0.8571 | 8920 | 0.0005 | - | - | - | - | | 0.8581 | 8930 | 0.0005 | - | - | - | - | | 0.8590 | 8940 | 0.0005 | - | - | - | - | | 0.8600 | 8950 | 0.0005 | - | - | - | - | | 0.8610 | 8960 | 0.0005 | - | - | - | - | | 0.8619 | 8970 | 0.0005 | - | - | - | - | | 0.8629 | 8980 | 0.0005 | - | - | - | - | | 0.8638 | 8990 | 0.0005 | - | - | - | - | | 0.8648 | 9000 | 0.0005 | 0.0004 | 0.1817 | 0.7175 | - | | 0.8658 | 9010 | 0.0005 | - | - | - | - | | 0.8667 | 9020 | 0.0005 | - | - | - | - | | 0.8677 | 9030 | 0.0005 | - | - | - | - | | 0.8686 | 9040 | 0.0005 | - | - | - | - | | 0.8696 | 9050 | 0.0005 | - | - | - | - | | 0.8706 | 9060 | 0.0005 | - | - | - | - | | 0.8715 | 9070 | 0.0005 | - | - | - | - | | 0.8725 | 9080 | 0.0005 | - | - | - | - | | 0.8735 | 9090 | 0.0005 | - | - | - | - | | 0.8744 | 9100 | 0.0005 | - | - | - | - | | 0.8754 | 9110 | 0.0005 | - | - | - | - | | 0.8763 | 9120 | 0.0005 | - | - | - | - | | 0.8773 | 9130 | 0.0005 | - | - | - | - | | 0.8783 | 9140 | 0.0005 | - | - | - | - | | 0.8792 | 9150 | 0.0005 | - | - | - | - | | 0.8802 | 9160 | 0.0005 | - | - | - | - | | 0.8811 | 9170 | 0.0005 | - | - | - | - | | 0.8821 | 9180 | 0.0005 | - | - | - | - | | 0.8831 | 9190 | 0.0005 | - | - | - | - | | 0.8840 | 9200 | 0.0005 | - | - | - | - | | 0.8850 | 9210 | 0.0005 | - | - | - | - | | 0.8859 | 9220 | 0.0005 | - | - | - | - | | 0.8869 | 9230 | 0.0005 | - | - | - | - | | 0.8879 | 9240 | 0.0005 | - | - | - | - | | 0.8888 | 9250 | 0.0005 | - | - | - | - | | 0.8898 | 9260 | 0.0005 | - | - | - | - | | 0.8907 | 9270 | 0.0005 | - | - | - | - | | 0.8917 | 9280 | 0.0004 | - | - | - | - | | 0.8927 | 9290 | 0.0005 | - | - | - | - | | 0.8936 | 9300 | 0.0005 | - | - | - | - | | 0.8946 | 9310 | 0.0005 | - | - | - | - | | 0.8956 | 9320 | 0.0005 | - | - | - | - | | 0.8965 | 9330 | 0.0005 | - | - | - | - | | 0.8975 | 9340 | 0.0005 | - | - | - | - | | 0.8984 | 9350 | 0.0005 | - | - | - | - | | 0.8994 | 9360 | 0.0005 | - | - | - | - | | 0.9004 | 9370 | 0.0005 | - | - | - | - | | 0.9013 | 9380 | 0.0005 | - | - | - | - | | 0.9023 | 9390 | 0.0005 | - | - | - | - | | 0.9032 | 9400 | 0.0005 | - | - | - | - | | 0.9042 | 9410 | 0.0005 | - | - | - | - | | 0.9052 | 9420 | 0.0005 | - | - | - | - | | 0.9061 | 9430 | 0.0005 | - | - | - | - | | 0.9071 | 9440 | 0.0005 | - | - | - | - | | 0.9080 | 9450 | 0.0005 | - | - | - | - | | 0.9090 | 9460 | 0.0005 | - | - | - | - | | 0.9100 | 9470 | 0.0005 | - | - | - | - | | 0.9109 | 9480 | 0.0005 | - | - | - | - | | 0.9119 | 9490 | 0.0005 | - | - | - | - | | 0.9128 | 9500 | 0.0005 | - | - | - | - | | 0.9138 | 9510 | 0.0005 | - | - | - | - | | 0.9148 | 9520 | 0.0005 | - | - | - | - | | 0.9157 | 9530 | 0.0005 | - | - | - | - | | 0.9167 | 9540 | 0.0005 | - | - | - | - | | 0.9177 | 9550 | 0.0005 | - | - | - | - | | 0.9186 | 9560 | 0.0005 | - | - | - | - | | 0.9196 | 9570 | 0.0005 | - | - | - | - | | 0.9205 | 9580 | 0.0005 | - | - | - | - | | 0.9215 | 9590 | 0.0005 | - | - | - | - | | 0.9225 | 9600 | 0.0005 | - | - | - | - | | 0.9234 | 9610 | 0.0005 | - | - | - | - | | 0.9244 | 9620 | 0.0005 | - | - | - | - | | 0.9253 | 9630 | 0.0005 | - | - | - | - | | 0.9263 | 9640 | 0.0005 | - | - | - | - | | 0.9273 | 9650 | 0.0005 | - | - | - | - | | 0.9282 | 9660 | 0.0005 | - | - | - | - | | 0.9292 | 9670 | 0.0005 | - | - | - | - | | 0.9301 | 9680 | 0.0005 | - | - | - | - | | 0.9311 | 9690 | 0.0005 | - | - | - | - | | 0.9321 | 9700 | 0.0005 | - | - | - | - | | 0.9330 | 9710 | 0.0005 | - | - | - | - | | 0.9340 | 9720 | 0.0005 | - | - | - | - | | 0.9349 | 9730 | 0.0005 | - | - | - | - | | 0.9359 | 9740 | 0.0005 | - | - | - | - | | 0.9369 | 9750 | 0.0005 | - | - | - | - | | 0.9378 | 9760 | 0.0005 | - | - | - | - | | 0.9388 | 9770 | 0.0005 | - | - | - | - | | 0.9398 | 9780 | 0.0005 | - | - | - | - | | 0.9407 | 9790 | 0.0005 | - | - | - | - | | 0.9417 | 9800 | 0.0005 | - | - | - | - | | 0.9426 | 9810 | 0.0005 | - | - | - | - | | 0.9436 | 9820 | 0.0005 | - | - | - | - | | 0.9446 | 9830 | 0.0005 | - | - | - | - | | 0.9455 | 9840 | 0.0005 | - | - | - | - | | 0.9465 | 9850 | 0.0005 | - | - | - | - | | 0.9474 | 9860 | 0.0005 | - | - | - | - | | 0.9484 | 9870 | 0.0005 | - | - | - | - | | 0.9494 | 9880 | 0.0005 | - | - | - | - | | 0.9503 | 9890 | 0.0005 | - | - | - | - | | 0.9513 | 9900 | 0.0005 | - | - | - | - | | 0.9522 | 9910 | 0.0005 | - | - | - | - | | 0.9532 | 9920 | 0.0005 | - | - | - | - | | 0.9542 | 9930 | 0.0005 | - | - | - | - | | 0.9551 | 9940 | 0.0005 | - | - | - | - | | 0.9561 | 9950 | 0.0005 | - | - | - | - | | 0.9570 | 9960 | 0.0005 | - | - | - | - | | 0.9580 | 9970 | 0.0005 | - | - | - | - | | 0.9590 | 9980 | 0.0005 | - | - | - | - | | 0.9599 | 9990 | 0.0005 | - | - | - | - | | 0.9609 | 10000 | 0.0005 | 0.0004 | 0.1764 | 0.7179 | - | | 0.9619 | 10010 | 0.0005 | - | - | - | - | | 0.9628 | 10020 | 0.0005 | - | - | - | - | | 0.9638 | 10030 | 0.0005 | - | - | - | - | | 0.9647 | 10040 | 0.0005 | - | - | - | - | | 0.9657 | 10050 | 0.0005 | - | - | - | - | | 0.9667 | 10060 | 0.0005 | - | - | - | - | | 0.9676 | 10070 | 0.0005 | - | - | - | - | | 0.9686 | 10080 | 0.0005 | - | - | - | - | | 0.9695 | 10090 | 0.0005 | - | - | - | - | | 0.9705 | 10100 | 0.0005 | - | - | - | - | | 0.9715 | 10110 | 0.0005 | - | - | - | - | | 0.9724 | 10120 | 0.0005 | - | - | - | - | | 0.9734 | 10130 | 0.0004 | - | - | - | - | | 0.9743 | 10140 | 0.0005 | - | - | - | - | | 0.9753 | 10150 | 0.0005 | - | - | - | - | | 0.9763 | 10160 | 0.0005 | - | - | - | - | | 0.9772 | 10170 | 0.0005 | - | - | - | - | | 0.9782 | 10180 | 0.0005 | - | - | - | - | | 0.9791 | 10190 | 0.0005 | - | - | - | - | | 0.9801 | 10200 | 0.0005 | - | - | - | - | | 0.9811 | 10210 | 0.0005 | - | - | - | - | | 0.9820 | 10220 | 0.0005 | - | - | - | - | | 0.9830 | 10230 | 0.0005 | - | - | - | - | | 0.9840 | 10240 | 0.0005 | - | - | - | - | | 0.9849 | 10250 | 0.0005 | - | - | - | - | | 0.9859 | 10260 | 0.0005 | - | - | - | - | | 0.9868 | 10270 | 0.0005 | - | - | - | - | | 0.9878 | 10280 | 0.0005 | - | - | - | - | | 0.9888 | 10290 | 0.0005 | - | - | - | - | | 0.9897 | 10300 | 0.0005 | - | - | - | - | | 0.9907 | 10310 | 0.0005 | - | - | - | - | | 0.9916 | 10320 | 0.0005 | - | - | - | - | | 0.9926 | 10330 | 0.0005 | - | - | - | - | | 0.9936 | 10340 | 0.0005 | - | - | - | - | | 0.9945 | 10350 | 0.0005 | - | - | - | - | | 0.9955 | 10360 | 0.0005 | - | - | - | - | | 0.9964 | 10370 | 0.0005 | - | - | - | - | | 0.9974 | 10380 | 0.0005 | - | - | - | - | | 0.9984 | 10390 | 0.0005 | - | - | - | - | | 0.9993 | 10400 | 0.0005 | - | - | - | - | | 1.0 | 10407 | - | - | 0.1761 | - | 0.6186 |
### Framework Versions - Python: 3.10.13 - Sentence Transformers: 3.0.1 - Transformers: 4.42.3 - PyTorch: 2.1.2 - Accelerate: 0.31.0 - Datasets: 2.19.2 - Tokenizers: 0.19.1 ## 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", } ``` #### MSELoss ```bibtex @inproceedings{reimers-2020-multilingual-sentence-bert, title = "Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation", author = "Reimers, Nils and Gurevych, Iryna", booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing", month = "11", year = "2020", publisher = "Association for Computational Linguistics", url = "https://arxiv.org/abs/2004.09813", } ```