diff --git "a/checkpoint-2044/README.md" "b/checkpoint-2044/README.md" new file mode 100644--- /dev/null +++ "b/checkpoint-2044/README.md" @@ -0,0 +1,3579 @@ +--- +base_model: microsoft/deberta-v3-small +datasets: +- tals/vitaminc +- allenai/scitail +- allenai/sciq +- allenai/qasc +- sentence-transformers/msmarco-msmarco-distilbert-base-v3 +- sentence-transformers/natural-questions +- sentence-transformers/trivia-qa +- sentence-transformers/gooaq +- google-research-datasets/paws +language: +- en +library_name: sentence-transformers +metrics: +- pearson_cosine +- spearman_cosine +- pearson_manhattan +- spearman_manhattan +- pearson_euclidean +- spearman_euclidean +- pearson_dot +- spearman_dot +- pearson_max +- spearman_max +- cosine_accuracy +- cosine_accuracy_threshold +- cosine_f1 +- cosine_f1_threshold +- cosine_precision +- cosine_recall +- cosine_ap +- dot_accuracy +- dot_accuracy_threshold +- dot_f1 +- dot_f1_threshold +- dot_precision +- dot_recall +- dot_ap +- manhattan_accuracy +- manhattan_accuracy_threshold +- manhattan_f1 +- manhattan_f1_threshold +- manhattan_precision +- manhattan_recall +- manhattan_ap +- euclidean_accuracy +- euclidean_accuracy_threshold +- euclidean_f1 +- euclidean_f1_threshold +- euclidean_precision +- euclidean_recall +- euclidean_ap +- max_accuracy +- max_accuracy_threshold +- max_f1 +- max_f1_threshold +- max_precision +- max_recall +- max_ap +pipeline_tag: sentence-similarity +tags: +- sentence-transformers +- sentence-similarity +- feature-extraction +- generated_from_trainer +- dataset_size:123245 +- loss:CachedGISTEmbedLoss +widget: +- source_sentence: is sweat is urine + sentences: + - Skeletal muscle is a form of striated muscle tissue which is under the voluntary + control of the somatic nervous system. It is one of three major muscle types, + the others being cardiac muscle and smooth muscle.Most skeletal muscles are attached + to bones by bundles of collagen fibers known as tendons.Skeletal muscle is made + up of individual muscle cells or myocytes, known as muscle fibers.They are formed + from the fusion of developmental myoblasts (a type of embryonic progenitor cell + that gives rise to a muscle cell) in a process known as myogenesis. Muscle fibres + are cylindrical, and multinucleated.Muscle fibers are in turn composed of myofibrils. + The myofibrils are composed of actin and myosin filaments, repeated in units called + sarcomeres, the basic functional units of the muscle fiber.uscle fibres are cylindrical, + and multinucleated. Muscle fibers are in turn composed of myofibrils. The myofibrils + are composed of actin and myosin filaments, repeated in units called sarcomeres, + the basic functional units of the muscle fiber. + - SDRAM stands for Synchronous Dynamic Random Access Memory, and it is a fast method + of delivering computing capacity. It can run at 133 Mhz, which is much faster + than earlier RAM technologies. This type of memory is very protective of its data + bits, storing them each in a separate capacitor. The benefit of this is that it + avoids corruption and maintains pristine data. + - 'Best Answer: Hi, I am a doctor.. Hope this will help you.. Sweat is a clear, + salty liquid produced by glands in your skin. Sweating is how your body cools + itself. It contains uric acid.. Urine also has it..But sweat has it in more minute + amounts than urine.. So, although you may smell after lot of perspiration, it + won,t be as much as urine.. But, sweat does not contain urine..just uric acid..ope + this will help you.. Sweat is a clear, salty liquid produced by glands in your + skin. Sweating is how your body cools itself. It contains uric acid.. Urine also + has it.. But sweat has it in more minute amounts than urine..' +- source_sentence: More than 273 people have died from the 2019-20 coronavirus outside + mainland China . + sentences: + - 'More than 3,700 people have died : around 3,100 in mainland China and around + 550 in all other countries combined .' + - 'More than 3,200 people have died : almost 3,000 in mainland China and around + 275 in other countries .' + - more than 4,900 deaths have been attributed to COVID-19 . +- source_sentence: Density of matter reflects how closely packed the particles of + matter are. + sentences: + - What physical property of matter reflects how closely packed the particles of + matter are? + - Lymph vessels are like blood vessels, except they move what instead of blood? + - Microscopes were first developed in the early 1600s by this trade? +- source_sentence: Pheromones enable communication, which is vital for organisms like + ants that live in a large community. + sentences: + - Which of the following is the primary advantage of sexual reproduction when compared + to asexual reproduction? + - Pheromones enable what, which is vital for organisms like ants that live in a + large community? + - Which rule is a result of trends in energies and is useful in explaining why atoms + form the ions that they do? +- source_sentence: What is the National Flower of England? + sentences: + - 'Lewis Carroll - Lewis Carroll Poems - Poem Hunter Lewis Carroll - Lewis Carroll + Poems - Poem Hunter Do you like this poet? Lewis Carroll Poems A Strange Wild + Song  He thought he saw an Elephant That ... The Crocodile  How doth the little + crocodile Improve his ... A Game Of Fives  Five little girls, of Five, Four, Three, + Two,... My Fancy  I painted her a gushing thing, With years about a ... Little + Birds  Little Birds are dining Warily and well, Hid ... Brother And Sister  "SISTER, + sister, go to bed! Go and rest ... All poems of Lewis Carroll » Search in the + poems of Lewis Carroll: Charles Lutwidge Dodgson better known by the pseudonym + Lewis Carroll, was an English author, mathematician, logician, Anglican deacon + and photographer. His most famous writings are Alice''s Adventures in Wonderland + and its sequel Through the Looking-Glass, as well as the poems "The Hunting of + the Snark" and "Jabberwocky", all examples of the genre of literary nonsense. + He is noted for his facility at word play, logic, and fantasy, and there are societies + dedicated to the enjoyment and promotion of his works and the investigation of + his life in many parts of the world, including the United Kingdom, Japan, the + United States, and New ... more » Click here to add this poet to your My Favorite + Poets.' + - 'What is the national flower of England? | Reference.com What is the national + flower of England? A: Quick Answer The national flower of England is the Tudor + rose, otherwise called The Rose of England. The Tudor rose became popular after + being adopted by Henry VII in the late 15th century. Full Answer The Tudor rose + has a similar appearance to a traditional rose but has an inner layer of white + petals that are surrounded by red petals. When Henry VII was the king of England, + there was a civil war, led by the House of York on one side and the House of Lancaster + on the other. The House of York wore white roses as its symbol while the Lancasters + wore red roses. The Tudor rose was a symbol that peace had been reached because + it was a mix of both.' + - 'POV stands for point of view. | Screenwriting.io What is a screenplay? What does + POV mean? POV stands for point of view, and is used to indicate that the audience + is seeing something from a specific angle or through a particular character’s + eyes. POV shots can also sometimes be indicated without using POV, as John August + demonstrates in this example from johnaugust.com : Evan is three spoonfuls into + his muesli when he hears an EXPLOSION outside. Racing to the window... EXT. KITCHEN + WINDOW / FRONT YARD – DAY ...Evan leans out to see his Toyota Yaris flipped over + on the front lawn, engulfed in flames.' +model-index: +- name: SentenceTransformer based on microsoft/deberta-v3-small + results: + - task: + type: semantic-similarity + name: Semantic Similarity + dataset: + name: sts test + type: sts-test + metrics: + - type: pearson_cosine + value: 0.8345019444404698 + name: Pearson Cosine + - type: spearman_cosine + value: 0.8688792138575424 + name: Spearman Cosine + - type: pearson_manhattan + value: 0.8633038097057222 + name: Pearson Manhattan + - type: spearman_manhattan + value: 0.8632414051961924 + name: Spearman Manhattan + - type: pearson_euclidean + value: 0.8657053003604382 + name: Pearson Euclidean + - type: spearman_euclidean + value: 0.8656618219198077 + name: Spearman Euclidean + - type: pearson_dot + value: 0.8151075704022561 + name: Pearson Dot + - type: spearman_dot + value: 0.8095249893564697 + name: Spearman Dot + - type: pearson_max + value: 0.8657053003604382 + name: Pearson Max + - type: spearman_max + value: 0.8688792138575424 + name: Spearman Max + - task: + type: binary-classification + name: Binary Classification + dataset: + name: allNLI dev + type: allNLI-dev + metrics: + - type: cosine_accuracy + value: 0.736328125 + name: Cosine Accuracy + - type: cosine_accuracy_threshold + value: 0.8452146053314209 + name: Cosine Accuracy Threshold + - type: cosine_f1 + value: 0.639618138424821 + name: Cosine F1 + - type: cosine_f1_threshold + value: 0.7643710970878601 + name: Cosine F1 Threshold + - type: cosine_precision + value: 0.5447154471544715 + name: Cosine Precision + - type: cosine_recall + value: 0.7745664739884393 + name: Cosine Recall + - type: cosine_ap + value: 0.6275018164212229 + name: Cosine Ap + - type: dot_accuracy + value: 0.701171875 + name: Dot Accuracy + - type: dot_accuracy_threshold + value: 361.28192138671875 + name: Dot Accuracy Threshold + - type: dot_f1 + value: 0.592039800995025 + name: Dot F1 + - type: dot_f1_threshold + value: 328.10443115234375 + name: Dot F1 Threshold + - type: dot_precision + value: 0.519650655021834 + name: Dot Precision + - type: dot_recall + value: 0.6878612716763006 + name: Dot Recall + - type: dot_ap + value: 0.5517615704791942 + name: Dot Ap + - type: manhattan_accuracy + value: 0.740234375 + name: Manhattan Accuracy + - type: manhattan_accuracy_threshold + value: 256.33929443359375 + name: Manhattan Accuracy Threshold + - type: manhattan_f1 + value: 0.6467661691542288 + name: Manhattan F1 + - type: manhattan_f1_threshold + value: 295.89422607421875 + name: Manhattan F1 Threshold + - type: manhattan_precision + value: 0.5676855895196506 + name: Manhattan Precision + - type: manhattan_recall + value: 0.7514450867052023 + name: Manhattan Recall + - type: manhattan_ap + value: 0.634668026581342 + name: Manhattan Ap + - type: euclidean_accuracy + value: 0.744140625 + name: Euclidean Accuracy + - type: euclidean_accuracy_threshold + value: 11.57768726348877 + name: Euclidean Accuracy Threshold + - type: euclidean_f1 + value: 0.6481012658227848 + name: Euclidean F1 + - type: euclidean_f1_threshold + value: 13.804973602294922 + name: Euclidean F1 Threshold + - type: euclidean_precision + value: 0.5765765765765766 + name: Euclidean Precision + - type: euclidean_recall + value: 0.7398843930635838 + name: Euclidean Recall + - type: euclidean_ap + value: 0.6387425565934844 + name: Euclidean Ap + - type: max_accuracy + value: 0.744140625 + name: Max Accuracy + - type: max_accuracy_threshold + value: 361.28192138671875 + name: Max Accuracy Threshold + - type: max_f1 + value: 0.6481012658227848 + name: Max F1 + - type: max_f1_threshold + value: 328.10443115234375 + name: Max F1 Threshold + - type: max_precision + value: 0.5765765765765766 + name: Max Precision + - type: max_recall + value: 0.7745664739884393 + name: Max Recall + - type: max_ap + value: 0.6387425565934844 + name: Max Ap + - task: + type: binary-classification + name: Binary Classification + dataset: + name: Qnli dev + type: Qnli-dev + metrics: + - type: cosine_accuracy + value: 0.71875 + name: Cosine Accuracy + - type: cosine_accuracy_threshold + value: 0.7668793201446533 + name: Cosine Accuracy Threshold + - type: cosine_f1 + value: 0.6905537459283388 + name: Cosine F1 + - type: cosine_f1_threshold + value: 0.6393879652023315 + name: Cosine F1 Threshold + - type: cosine_precision + value: 0.5608465608465608 + name: Cosine Precision + - type: cosine_recall + value: 0.8983050847457628 + name: Cosine Recall + - type: cosine_ap + value: 0.7622251014689494 + name: Cosine Ap + - type: dot_accuracy + value: 0.673828125 + name: Dot Accuracy + - type: dot_accuracy_threshold + value: 346.4505615234375 + name: Dot Accuracy Threshold + - type: dot_f1 + value: 0.6750788643533123 + name: Dot F1 + - type: dot_f1_threshold + value: 265.27191162109375 + name: Dot F1 Threshold + - type: dot_precision + value: 0.5376884422110553 + name: Dot Precision + - type: dot_recall + value: 0.9067796610169492 + name: Dot Recall + - type: dot_ap + value: 0.7133157603299303 + name: Dot Ap + - type: manhattan_accuracy + value: 0.71875 + name: Manhattan Accuracy + - type: manhattan_accuracy_threshold + value: 297.2159423828125 + name: Manhattan Accuracy Threshold + - type: manhattan_f1 + value: 0.6946564885496184 + name: Manhattan F1 + - type: manhattan_f1_threshold + value: 338.4189453125 + name: Manhattan F1 Threshold + - type: manhattan_precision + value: 0.6319444444444444 + name: Manhattan Precision + - type: manhattan_recall + value: 0.7711864406779662 + name: Manhattan Recall + - type: manhattan_ap + value: 0.7687026270805394 + name: Manhattan Ap + - type: euclidean_accuracy + value: 0.728515625 + name: Euclidean Accuracy + - type: euclidean_accuracy_threshold + value: 14.158382415771484 + name: Euclidean Accuracy Threshold + - type: euclidean_f1 + value: 0.6934865900383143 + name: Euclidean F1 + - type: euclidean_f1_threshold + value: 16.00537872314453 + name: Euclidean F1 Threshold + - type: euclidean_precision + value: 0.6328671328671329 + name: Euclidean Precision + - type: euclidean_recall + value: 0.7669491525423728 + name: Euclidean Recall + - type: euclidean_ap + value: 0.7683574103231411 + name: Euclidean Ap + - type: max_accuracy + value: 0.728515625 + name: Max Accuracy + - type: max_accuracy_threshold + value: 346.4505615234375 + name: Max Accuracy Threshold + - type: max_f1 + value: 0.6946564885496184 + name: Max F1 + - type: max_f1_threshold + value: 338.4189453125 + name: Max F1 Threshold + - type: max_precision + value: 0.6328671328671329 + name: Max Precision + - type: max_recall + value: 0.9067796610169492 + name: Max Recall + - type: max_ap + value: 0.7687026270805394 + name: Max Ap +--- + +# SentenceTransformer based on microsoft/deberta-v3-small + +This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the negation-triplets, [vitaminc-pairs](https://huggingface.co/datasets/tals/vitaminc), [scitail-pairs-qa](https://huggingface.co/datasets/allenai/scitail), [scitail-pairs-pos](https://huggingface.co/datasets/allenai/scitail), xsum-pairs, [sciq_pairs](https://huggingface.co/datasets/allenai/sciq), [qasc_pairs](https://huggingface.co/datasets/allenai/qasc), openbookqa_pairs, [msmarco_pairs](https://huggingface.co/datasets/sentence-transformers/msmarco-msmarco-distilbert-base-v3), [nq_pairs](https://huggingface.co/datasets/sentence-transformers/natural-questions), [trivia_pairs](https://huggingface.co/datasets/sentence-transformers/trivia-qa), [gooaq_pairs](https://huggingface.co/datasets/sentence-transformers/gooaq), [paws-pos](https://huggingface.co/datasets/google-research-datasets/paws) and global_dataset datasets. 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:** [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) +- **Maximum Sequence Length:** 512 tokens +- **Output Dimensionality:** 768 tokens +- **Similarity Function:** Cosine Similarity +- **Training Datasets:** + - negation-triplets + - [vitaminc-pairs](https://huggingface.co/datasets/tals/vitaminc) + - [scitail-pairs-qa](https://huggingface.co/datasets/allenai/scitail) + - [scitail-pairs-pos](https://huggingface.co/datasets/allenai/scitail) + - xsum-pairs + - [sciq_pairs](https://huggingface.co/datasets/allenai/sciq) + - [qasc_pairs](https://huggingface.co/datasets/allenai/qasc) + - openbookqa_pairs + - [msmarco_pairs](https://huggingface.co/datasets/sentence-transformers/msmarco-msmarco-distilbert-base-v3) + - [nq_pairs](https://huggingface.co/datasets/sentence-transformers/natural-questions) + - [trivia_pairs](https://huggingface.co/datasets/sentence-transformers/trivia-qa) + - [gooaq_pairs](https://huggingface.co/datasets/sentence-transformers/gooaq) + - [paws-pos](https://huggingface.co/datasets/google-research-datasets/paws) + - global_dataset +- **Language:** en + + +### 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: DebertaV2Model + (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("bobox/DeBERTa3-s-ST-checkpoints-tmp") +# Run inference +sentences = [ + 'What is the National Flower of England?', + 'What is the national flower of England? | Reference.com What is the national flower of England? A: Quick Answer The national flower of England is the Tudor rose, otherwise called The Rose of England. The Tudor rose became popular after being adopted by Henry VII in the late 15th century. Full Answer The Tudor rose has a similar appearance to a traditional rose but has an inner layer of white petals that are surrounded by red petals. When Henry VII was the king of England, there was a civil war, led by the House of York on one side and the House of Lancaster on the other. The House of York wore white roses as its symbol while the Lancasters wore red roses. The Tudor rose was a symbol that peace had been reached because it was a mix of both.', + 'POV stands for point of view. | Screenwriting.io What is a screenplay? What does POV mean? POV stands for point of view, and is used to indicate that the audience is seeing something from a specific angle or through a particular character’s eyes. POV shots can also sometimes be indicated without using POV, as John August demonstrates in this example from johnaugust.com : Evan is three spoonfuls into his muesli when he hears an EXPLOSION outside. Racing to the window... EXT. KITCHEN WINDOW / FRONT YARD – DAY ...Evan leans out to see his Toyota Yaris flipped over on the front lawn, engulfed in flames.', +] +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-test` +* Evaluated with [EmbeddingSimilarityEvaluator](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.EmbeddingSimilarityEvaluator) + +| Metric | Value | +|:--------------------|:-----------| +| pearson_cosine | 0.8345 | +| **spearman_cosine** | **0.8689** | +| pearson_manhattan | 0.8633 | +| spearman_manhattan | 0.8632 | +| pearson_euclidean | 0.8657 | +| spearman_euclidean | 0.8657 | +| pearson_dot | 0.8151 | +| spearman_dot | 0.8095 | +| pearson_max | 0.8657 | +| spearman_max | 0.8689 | + +#### Binary Classification +* Dataset: `allNLI-dev` +* Evaluated with [BinaryClassificationEvaluator](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.BinaryClassificationEvaluator) + +| Metric | Value | +|:-----------------------------|:-----------| +| cosine_accuracy | 0.7363 | +| cosine_accuracy_threshold | 0.8452 | +| cosine_f1 | 0.6396 | +| cosine_f1_threshold | 0.7644 | +| cosine_precision | 0.5447 | +| cosine_recall | 0.7746 | +| cosine_ap | 0.6275 | +| dot_accuracy | 0.7012 | +| dot_accuracy_threshold | 361.2819 | +| dot_f1 | 0.592 | +| dot_f1_threshold | 328.1044 | +| dot_precision | 0.5197 | +| dot_recall | 0.6879 | +| dot_ap | 0.5518 | +| manhattan_accuracy | 0.7402 | +| manhattan_accuracy_threshold | 256.3393 | +| manhattan_f1 | 0.6468 | +| manhattan_f1_threshold | 295.8942 | +| manhattan_precision | 0.5677 | +| manhattan_recall | 0.7514 | +| manhattan_ap | 0.6347 | +| euclidean_accuracy | 0.7441 | +| euclidean_accuracy_threshold | 11.5777 | +| euclidean_f1 | 0.6481 | +| euclidean_f1_threshold | 13.805 | +| euclidean_precision | 0.5766 | +| euclidean_recall | 0.7399 | +| euclidean_ap | 0.6387 | +| max_accuracy | 0.7441 | +| max_accuracy_threshold | 361.2819 | +| max_f1 | 0.6481 | +| max_f1_threshold | 328.1044 | +| max_precision | 0.5766 | +| max_recall | 0.7746 | +| **max_ap** | **0.6387** | + +#### Binary Classification +* Dataset: `Qnli-dev` +* Evaluated with [BinaryClassificationEvaluator](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.BinaryClassificationEvaluator) + +| Metric | Value | +|:-----------------------------|:-----------| +| cosine_accuracy | 0.7188 | +| cosine_accuracy_threshold | 0.7669 | +| cosine_f1 | 0.6906 | +| cosine_f1_threshold | 0.6394 | +| cosine_precision | 0.5608 | +| cosine_recall | 0.8983 | +| cosine_ap | 0.7622 | +| dot_accuracy | 0.6738 | +| dot_accuracy_threshold | 346.4506 | +| dot_f1 | 0.6751 | +| dot_f1_threshold | 265.2719 | +| dot_precision | 0.5377 | +| dot_recall | 0.9068 | +| dot_ap | 0.7133 | +| manhattan_accuracy | 0.7188 | +| manhattan_accuracy_threshold | 297.2159 | +| manhattan_f1 | 0.6947 | +| manhattan_f1_threshold | 338.4189 | +| manhattan_precision | 0.6319 | +| manhattan_recall | 0.7712 | +| manhattan_ap | 0.7687 | +| euclidean_accuracy | 0.7285 | +| euclidean_accuracy_threshold | 14.1584 | +| euclidean_f1 | 0.6935 | +| euclidean_f1_threshold | 16.0054 | +| euclidean_precision | 0.6329 | +| euclidean_recall | 0.7669 | +| euclidean_ap | 0.7684 | +| max_accuracy | 0.7285 | +| max_accuracy_threshold | 346.4506 | +| max_f1 | 0.6947 | +| max_f1_threshold | 338.4189 | +| max_precision | 0.6329 | +| max_recall | 0.9068 | +| **max_ap** | **0.7687** | + + + + + +## Training Details + +### Training Datasets + +#### negation-triplets + +* Dataset: negation-triplets +* Size: 6,700 training samples +* Columns: anchor, entailment, and negative +* Approximate statistics based on the first 1000 samples: + | | anchor | entailment | negative | + |:--------|:-----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------| + | type | string | string | string | + | details | | | | +* Samples: + | anchor | entailment | negative | + |:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------| + | By the 17th century pirate attacks prompted the building of extensive city defenses colossal forts, a chain across the harbor mouth, and prominent city walls making Havana the Bulwark of the West Indies. | Pirate attacks against Havana spurred the building of colossal forts. | Pirate attacks against Havana halted the building of colossal forts. | + | A man with a black hat and black shirt is talking on a cellphone and drinking a beer outside. | A man in a black shirt and hat is outside is chatting on his phone and drinking a beer. | A man in a white shirt and hat is outside, not chatting on his phone and not drinking a beer. | + | and it just kind of follows forward and i got i got hooked on it and there's like about sixteen or eighteen | There are about sixteen or eighteen of those that I got addicted on. | There are not about sixteen or eighteen of those that I got addicted to. | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +#### vitaminc-pairs + +* Dataset: [vitaminc-pairs](https://huggingface.co/datasets/tals/vitaminc) at [be6febb](https://huggingface.co/datasets/tals/vitaminc/tree/be6febb761b0b2807687e61e0b5282e459df2fa0) +* Size: 6,700 training samples +* Columns: claim and evidence +* Approximate statistics based on the first 1000 samples: + | | claim | evidence | + |:--------|:----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | claim | evidence | + |:--------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| + | Victoria has less than 55,000 full-time teachers . | Victoria has about 46,523 full-time teachers. | + | Giorgia Whigham was born before August 19 , 1997 . | Whigham was born on August 18 , 1997 in New York City , New York . | + | Sanders caught fewer than five passes for 168 yards in Super Bowl XXII . | In the second quarter alone , Williams completed 9 of 11 passes for 228 yards and 4 touchdowns ; Smith rushed 5 times for 122 yards and a touchdown ; and Sanders caught 4 passes for 168 yards and 2 touchdowns . | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +#### scitail-pairs-qa + +* Dataset: [scitail-pairs-qa](https://huggingface.co/datasets/allenai/scitail) at [0cc4353](https://huggingface.co/datasets/allenai/scitail/tree/0cc4353235b289165dfde1c7c5d1be983f99ce44) +* Size: 6,700 training samples +* Columns: sentence1 and sentence2 +* Approximate statistics based on the first 1000 samples: + | | sentence1 | sentence2 | + |:--------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | sentence1 | sentence2 | + |:---------------------------------------------------------------------------------|:--------------------------------------------------------------------------------| + | Knees and elbows are examples of the joints of the skeletal system. | Knees and elbows are examples of what part of the skeletal system? | + | Heart disease is the leading cause of death in the united states. | What is the leading cause of death in the united states? | + | Water molds mostly live in water or moist soil. | Water molds mostly live in water or moist? | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +#### scitail-pairs-pos + +* Dataset: [scitail-pairs-pos](https://huggingface.co/datasets/allenai/scitail) at [0cc4353](https://huggingface.co/datasets/allenai/scitail/tree/0cc4353235b289165dfde1c7c5d1be983f99ce44) +* Size: 5,762 training samples +* Columns: sentence1 and sentence2 +* Approximate statistics based on the first 1000 samples: + | | sentence1 | sentence2 | + |:--------|:---------------------------------------------------------------------------------|:----------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | sentence1 | sentence2 | + |:---------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------| + | Other resources, call nonrenewable resources , occur in limited amounts and are used faster than nature can replace them. | Nonrenewable resources cannot be replaced as easily as it is consumed. | + | Because atoms are electrically neutral, there must be balancing positive charges somewhere in the atom. | Atoms carry a neutral charge. | + | In physics, pressure is defined as force per unit area. | Pressure is defined in physics as the amount of force pushing against a given area. | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +#### xsum-pairs + +* Dataset: xsum-pairs +* Size: 6,700 training samples +* Columns: document and summary +* Approximate statistics based on the first 1000 samples: + | | document | summary | + |:--------|:-------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | document | summary | + |:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------| + | Catholic voluntary worker Peter McTasney was shot dead by the UVF at his home in north Belfast 25 years ago.
Lawyers for Mr McTasney's family argued the PSNI was reluctant to investigate because of fears of revelations about Special Branch agents.
Former UVF commander Gary Haggarty has been charged with the killing.
He agreed to become what is called "an assisting offender", a modern day supergrass.
The former Special Branch agent is facing a total of 212 charges, and has also made allegations about serious criminal activity by the police officers to whom he reported.
The lawyers representing the McTasney family claimed the police had delayed the investigation because they feared what Haggarty might reveal.
But their bid to challenge the PSNI for unlawfully failing to investigate within reasonable time was refused.
"For the court to conduct an investigation under the guise of judicial review proceedings at this stage would at best be premature," the judge said.
The judge concluded that there was "simply insufficient evidence to argue that there has been unreasonable delay in this matter".
Mr McTasney was murdered in the Bawnmore estate in February 1991 in front of his three-year-old daughter.
A Police Ombudsman report identified the murder as one of 10 linked to a UVF unit operating out of the Mount Vernon estate. | A legal challenge to the way the PSNI has investigated a murder linked to a loyalist supergrass has been rejected. | + | Naismith, 22, had agreed a pre-contract to join County in the summer but will move to Dingwall in the current transfer window instead.
O'Brien, 29, previously played in Scotland with Celtic, Dundee United and Motherwell.
Both deals are subject to clearance, with O'Brien loaned until the summer.
County host Dundee United in the Scottish Cup on Saturday and the Highlanders resume their Premiership campaign away to Kilmarnock on 28 January.
Defender Naismith came through the Buddies' youth ranks and made his debut in 2012. Capped up to Scotland Under-21 level, he has made more than 100 senior club appearances.
Former Republic of Ireland Under-21 player O'Brien has over 300 club appearances and joined Shrewsbury from Coventry in June.
"We've been tracking Jason's progress for a while now and I'm delighted to secure his services on a permanent deal," manager Jim McIntyre told the County website.
"He is an exciting young prospect and will be a great addition to the squad."
And, of O'Brien, he added: "He will bring competition in wide areas for us and, at 29-years-of-age, he brings a wealth of experience with him." | Ross County have signed St Mirren full-back Jason Naismith for an undisclosed fee, while Shrewsbury Town winger Jim O'Brien has joined County on loan. | + | The Marylebone Cricket Club world cricket committee says batting has become "too easy", with bats up to 80mm thick with 55mm edges.
There are currently no limits on the thickness of bats, but the committee wants to introduce a maximum depth of 60-65mm and a maximum edge of 35-40mm.
If approved by the MCC, the new Law could be introduced on 1 October 2017.
In June, the International Cricket Council (ICC) called for restrictions to be introduced to "help achieve a better balance between bat and ball".
Former Australia captain Ricky Ponting, a member of the world cricket committee, wants bats, which are "unbelievably big", to be reduced in size in Test cricket.
But current Australia batsman David Warner says faster scoring and bigger totals are a result of flatter pitches rather than improvements in bat technology.
The world cricket committee, which consists of 12 former international players, met at Lord's on Monday and Tuesday.
It also made several other proposals: | The thickness of bats should be reduced by 20mm, says the committee which proposes changes to cricket's Laws. | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +#### sciq_pairs + +* Dataset: [sciq_pairs](https://huggingface.co/datasets/allenai/sciq) at [2c94ad3](https://huggingface.co/datasets/allenai/sciq/tree/2c94ad3e1aafab77146f384e23536f97a4849815) +* Size: 6,700 training samples +* Columns: sentence1 and sentence2 +* Approximate statistics based on the first 1000 samples: + | | sentence1 | sentence2 | + |:--------|:----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | sentence1 | sentence2 | + |:-----------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| + | What are the blood vessels that carry blood toward the heart and tend to have thinner walls? | Veins are blood vessels that carry blood toward the heart. This blood is no longer under pressure, so veins have thinner walls. To keep the blood moving, many veins have valves that prevent the backflow of blood. Veins generally carry oxygen-poor blood. The smallest veins are called venules. They merge to form larger and larger veins. The largest vein is the inferior vena cava, which carries blood from the lower body directly to the heart. | + | What is the most important way that humans communicate? | The most important way that humans communicate is with language. Language is the use of symbols to communicate. In human languages, the symbols are words. Words may stand for things, people, actions, feelings, or ideas. By combining words in sentences, language can be used to express very complex thoughts. | + | What domain-level category of cells can contain more than 1000 times the dna found in a typical bacterial cell? | Figure 11.35 (a) Capillary action depends on the radius of a tube. The smaller the tube, the greater the height reached. The height is negligible for large-radius tubes. (b) A denser fluid in the same tube rises to a smaller height, all other factors being the same. | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +#### qasc_pairs + +* Dataset: [qasc_pairs](https://huggingface.co/datasets/allenai/qasc) at [a34ba20](https://huggingface.co/datasets/allenai/qasc/tree/a34ba204eb9a33b919c10cc08f4f1c8dae5ec070) +* Size: 5,177 training samples +* Columns: sentence1 and sentence2 +* Approximate statistics based on the first 1000 samples: + | | sentence1 | sentence2 | + |:--------|:----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | sentence1 | sentence2 | + |:-----------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| + | What can breathe with gills as larvae and with lungs as adults? | Most amphibians breathe with gills as larvae and with lungs as adults.. All frogs are amphibians.
frogs can breathe with gills as larvae and with lungs as adults | + | Wetlands are what major world habitats? | Wetlands are extremely important biomes.. Biomes are the world's major habitats.
Wetlands are extremely important major world habitats | + | What can threatening behavior be? | threatening behavior by predators causes a porcupine to extend its quills. Porcupine quills can be extraordinarily painful.
threatening behavior can be painful | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +#### openbookqa_pairs + +* Dataset: openbookqa_pairs +* Size: 3,029 training samples +* Columns: question and fact +* Approximate statistics based on the first 1000 samples: + | | question | fact | + |:--------|:---------------------------------------------------------------------------------|:----------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | question | fact | + |:--------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------| + | Which process does the slate that comes from shale come from? | shale can be metamorphosed into slate by increased pressure | + | If an area is experiencing a drought, how can they overcome the lack of water? | as the amount of rainfall increases in an area , the amount of available water in that area will increase | + | which of these can alter its appearance naturally to evade being captured? | An example of camouflage is an organism looking like leaves | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +#### msmarco_pairs + +* Dataset: [msmarco_pairs](https://huggingface.co/datasets/sentence-transformers/msmarco-msmarco-distilbert-base-v3) at [28ff31e](https://huggingface.co/datasets/sentence-transformers/msmarco-msmarco-distilbert-base-v3/tree/28ff31e4c97cddd53d298497f766e653f1e666f9) +* Size: 6,700 training samples +* Columns: sentence1 and sentence2 +* Approximate statistics based on the first 1000 samples: + | | sentence1 | sentence2 | + |:--------|:---------------------------------------------------------------------------------|:------------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | sentence1 | sentence2 | + |:------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| + | what is north west part of france called | Normandy tourism. The Normandy region is on the coast of north-west France, with the English Channel to the north and Brittany to the west.anche department. The Manche department is to the west of the region, with the abbey of Mont-Saint-Michel (the most visited site in France outside Paris) to the south-west and Cherbourg at the northern end of the Cotentin Peninsula. | + | how much does snapchat geofilters cost | Though Snapchat has offered sponsored geofilters for some time, on-demand filters will cover much smaller geographic areas and will cost significantly less, with prices ranging from $5 to several thousand dollars. (You can use the company's new online tool to experiment with prices and locations.) | + | what are consuls | In modern terminology, a Consul is a type of diplomat. In most governments, the Consul is the head of the Consular Section of an embassy, and is responsible for all consular services such as immigrant and non-immigrant visas, passports, and citizen services for expatriates living or traveling in the host country. | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +#### nq_pairs + +* Dataset: [nq_pairs](https://huggingface.co/datasets/sentence-transformers/natural-questions) at [f9e894e](https://huggingface.co/datasets/sentence-transformers/natural-questions/tree/f9e894e1081e206e577b4eaa9ee6de2b06ae6f17) +* Size: 6,700 training samples +* Columns: sentence1 and sentence2 +* Approximate statistics based on the first 1000 samples: + | | sentence1 | sentence2 | + |:--------|:---------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | sentence1 | sentence2 | + |:-------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| + | what caused the eagle creek fire in oregon | Eagle Creek Fire The Eagle Creek Fire is an ongoing wildfire in the Columbia River Gorge in the U.S. states of Oregon and Washington. The fire was started on September 2, 2017, reportedly caused by teenagers igniting fireworks during a burn ban.[2] As of October 7, 2017, the fire had consumed 48,831 acres (19,761 ha) and is 50% contained with an estimated containment date of November 30, 2017.[4] Fire growth was slowed by rain. Highway closures and local evacuations are gradually being lifted.[5] | + | what are the criteria for something to be considered living | Life The definition of life is controversial. The current definition is that organisms maintain homeostasis, are composed of cells, undergo metabolism, can grow, adapt to their environment, respond to stimuli, and reproduce. However, many other biological definitions have been proposed, and there are some borderline cases of life, such as viruses. Throughout history, there have been many attempts to define what is meant by "life" and many theories on the properties and emergence of living things, such as materialism, the belief that everything is made out of matter and that life is merely a complex form of it; hylomorphism, the belief that all things are a combination of matter and form, and the form of a living thing is its soul; spontaneous generation, the belief that life repeatedly emerges from non-life; and vitalism, a now largely discredited hypothesis that living organisms possess a "life force" or "vital spark". Modern definitions are more complex, with input from a diversity of scientific disciplines. Biophysicists have proposed many definitions based on chemical systems; there are also some living systems theories, such as the Gaia hypothesis, the idea that the Earth itself is alive. Another theory is that life is the property of ecological systems, and yet another is elaborated in complex systems biology, a branch or subfield of mathematical biology. Abiogenesis describes the natural process of life arising from non-living matter, such as simple organic compounds. Properties common to all organisms include the need for certain core chemical elements to sustain biochemical functions. | + | when will there be a new comedians in cars getting coffee | Comedians in Cars Getting Coffee The show's ninth season premiered on January 5, 2017. That same month it was announced that the series would migrate from Crackle to Netflix, with the ninth season being the final one to premiere on Crackle.[3] Twenty-four new episodes will stream on Netflix in 2018, with most of the previous episodes becoming available on the streaming service starting on January 5, 2018—the episode with Louis C.K. was not included in the collection until January 10th, and the episode with Jason Alexander in character as George Costanza was not included.[1] The previous episodes were repackaged into four "collections" for Netflix, reordering the episodes and removing the product placement spots. | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +#### trivia_pairs + +* Dataset: [trivia_pairs](https://huggingface.co/datasets/sentence-transformers/trivia-qa) at [a7c36e3](https://huggingface.co/datasets/sentence-transformers/trivia-qa/tree/a7c36e3c8c8c01526bc094d79bf80d4c848b0ad0) +* Size: 3,749 training samples +* Columns: query and answer +* Approximate statistics based on the first 1000 samples: + | | query | answer | + |:--------|:----------------------------------------------------------------------------------|:------------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | query | answer | + |:------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| + | "Who wrote the series of books about ""Budgie The Helicopter""?" | TV ACRES: Aircraft > Helicopters > Budgie the Little Helicopter (Sarah Ferguson) Home > Index > Aircraft >  Helicopters > Budgie the Little Helicopter     Helicopters Budgie the Little Helicopter - Brave and friendly helicopter featured on the animated half-hour children's series BUDGIE THE LITTLE HELICOPTER/ITV/1994-96. This aviation adventure follows the antics of Budgie, the smallest helicopter in the hangar and his adorable copter buddies, Lionel, Pippa and Chuck. They all interact with Harefield Airfield's resident mechanics, Mike and Ken. The series debuted in England and later premiered in America in 1995 on The Fox Network's weekday preschool program, FOX CUBHOUSE as a component series of MAGIC ADVENTURES OF MUMFIE. The program is based on four children's books written by HRH Sarah Ferguson, the Duchess of York. The books included Budgie, The Little Helicopter; Budgie at Bendrick's Point; Budgie Goes To Sea; and Budgie and the Blizzard. Sarah Ferguson got the idea for her successful children's character while training as a Royal Navy Pilot. Produced by Sleepy Kids PLC, HTV Limited and Fred Wolf Films (U.K).   External Links | + | Who played Rosemary Shanahan in the 2001 film ‘Shallow Hal’? | View All Photos (14) Movie Info Jack Black continues his march to stardom with this typical Farrelly brothers blend of broad comedy and a heartfelt message. Black is Hal Larsen, a shallow man rapidly approaching middle age whose superficiality can be attributed to his father's deathbed admonition to only date young, beautiful women. Hal and his best friend, Mauricio (Jason Alexander), have taken the advice to heart, but Hal finds all of his physically impressive girlfriends consistently lacking in other qualities that would make them ideal mates. When he bumps into self-help guru Tony Robbins (playing himself), the motivational entrepreneur is intrigued by Hal's predicament and hypnotizes him so that he'll only see the inner beauty of women. Hal is quickly smitten with Rosemary Shanahan (Gwyneth Paltrow), a blonde Peace Corps volunteer who's tenderhearted, funny, and intelligent. She is also gorgeous and meets Hal's basic criteria of outer perfection, but what he doesn't realize is that Robbins' spell is working and he cannot see that Rosemary actually weights 300 pounds. When Mauricio is finally able to snap Hal out of his charmed state, Hal's in love with the inwardly perfect woman and must overcome his obsession with beauty. The script for Shallow Hal (2001) was developed when Peter Farrelly enjoyed the humorous letters written to a mutual friend by Sean Moynihan, a computer software executive who followed the filmmaker's advice to take up screenwriting. ~ Karl Williams, Rovi Rating: PG-13 (for language and sexual content) Genre: | + | 100 degrees Celsius is how many degrees Fahrenheit? | Degrees Celsius to Degrees Fahrenheit | Kyle's Converter 1 Degrees Celsius to Degrees Fahrenheit = 33.8 70 Degrees Celsius to Degrees Fahrenheit = 158 2 Degrees Celsius to Degrees Fahrenheit = 35.6 80 Degrees Celsius to Degrees Fahrenheit = 176 3 Degrees Celsius to Degrees Fahrenheit = 37.4 90 Degrees Celsius to Degrees Fahrenheit = 194 4 Degrees Celsius to Degrees Fahrenheit = 39.2 100 Degrees Celsius to Degrees Fahrenheit = 212 5 Degrees Celsius to Degrees Fahrenheit = 41 200 Degrees Celsius to Degrees Fahrenheit = 392 6 Degrees Celsius to Degrees Fahrenheit = 42.8 300 Degrees Celsius to Degrees Fahrenheit = 572 7 Degrees Celsius to Degrees Fahrenheit = 44.6 400 Degrees Celsius to Degrees Fahrenheit = 752 8 Degrees Celsius to Degrees Fahrenheit = 46.4 500 Degrees Celsius to Degrees Fahrenheit = 932 9 Degrees Celsius to Degrees Fahrenheit = 48.2 600 Degrees Celsius to Degrees Fahrenheit = 1112 10 Degrees Celsius to Degrees Fahrenheit = 50 800 Degrees Celsius to Degrees Fahrenheit = 1472 20 Degrees Celsius to Degrees Fahrenheit = 68 900 Degrees Celsius to Degrees Fahrenheit = 1652 30 Degrees Celsius to Degrees Fahrenheit = 86 1,000 Degrees Celsius to Degrees Fahrenheit = 1832 40 Degrees Celsius to Degrees Fahrenheit = 104 10,000 Degrees Celsius to Degrees Fahrenheit = 18032 50 Degrees Celsius to Degrees Fahrenheit = 122 100,000 Degrees Celsius to Degrees Fahrenheit = 180032 60 Degrees Celsius to Degrees Fahrenheit = 140 1,000,000 Degrees Celsius to Degrees Fahrenheit = 1800032 Similar Temperature Units | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +#### gooaq_pairs + +* Dataset: [gooaq_pairs](https://huggingface.co/datasets/sentence-transformers/gooaq) at [b089f72](https://huggingface.co/datasets/sentence-transformers/gooaq/tree/b089f728748a068b7bc5234e5bcf5b25e3c8279c) +* Size: 6,700 training samples +* Columns: sentence1 and sentence2 +* Approximate statistics based on the first 1000 samples: + | | sentence1 | sentence2 | + |:--------|:----------------------------------------------------------------------------------|:------------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | sentence1 | sentence2 | + |:------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| + | what is the difference between ir and voy in spanish? | "Ir" is the infinitive meaning "to go". "Voy" is the first-person singular conjugation of the verb "ir" in the present indicative, so basically, it means "I go". Tengo que ir a la tienda. | + | what are the advantages and disadvantages of a federal system of government? | So, our federalist form of government has several advantages, such as protecting us from tyranny, dispersing power, increasing citizen participation, and increasing effectiveness, and disadvantages, such as supposedly protecting slavery and segregation, increasing inequalities between states, states blocking national ... | + | what are non primary colors? | Primary Yellow, Primary Red and Primary Blue are considered the root of every other color. They are colors that can't be created by a mixture. The Secondary colors are Orange, Purple and Green. They are the 'children' of each pair of Primary colors. | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +#### paws-pos + +* Dataset: [paws-pos](https://huggingface.co/datasets/google-research-datasets/paws) at [161ece9](https://huggingface.co/datasets/google-research-datasets/paws/tree/161ece9501cf0a11f3e48bd356eaa82de46d6a09) +* Size: 6,700 training samples +* Columns: sentence1 and sentence2 +* Approximate statistics based on the first 1000 samples: + | | sentence1 | sentence2 | + |:--------|:-----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | sentence1 | sentence2 | + |:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------| + | The 2005 Standards were approved by the California Energy Commission on November 5 , 2003 , and adopted by the Building Standards Commission on July 21 , 2004 . | The standards were approved by the California Energy Commission on 5 November 2003 and adopted on 21 July 2004 by the Building Standards Commission . | + | Lex Luthor was also replaced as Scott Wells by Sherman Howard . | Lex Lex Luthor was also replaced by Sherman Howard as Scott Wells . | + | Lord Hartington , who had refused to serve under Gladstone because of his Irish policy , became leader of liberal Unionists . | Lord Hartington , who had refused to serve under Gladstone because of his Irish policies , became leader of the Liberal Unionists . | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +#### global_dataset + +* Dataset: global_dataset +* Size: 45,228 training samples +* Columns: sentence1 and sentence2 +* Approximate statistics based on the first 1000 samples: + | | sentence1 | sentence2 | + |:--------|:-----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | sentence1 | sentence2 | + |:--------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| + | what does carnival mean in mardi gras | [maɾdi ɡɾa] ; [maʁ.di ɡʁa] ; meaning Fat Tuesday) is an annual Carnival celebration in the Southeast United States in New Orleans, LA. The Carnival season, a variation of the traditional manner of preparing for the start of the Christian liturgical season of Lent, starts after Twelfth Night, on Epiphany (January 6). | + | The following night , Delirious put his problems with Pearce aside to challenge Danielson . | The next night , Delirious put aside his problems with Pearce to challenge Danielson . | + | If the postal service presents him with a rate that does not vary with distance, he may, in effect, be subsidizing other mail. | Some postal service users subsidize other mail in cases. | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +### Evaluation Datasets + +#### vitaminc-pairs + +* Dataset: [vitaminc-pairs](https://huggingface.co/datasets/tals/vitaminc) at [be6febb](https://huggingface.co/datasets/tals/vitaminc/tree/be6febb761b0b2807687e61e0b5282e459df2fa0) +* Size: 128 evaluation samples +* Columns: claim and evidence +* Approximate statistics based on the first 1000 samples: + | | claim | evidence | + |:--------|:----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | claim | evidence | + |:------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| + | Dragon Con had over 5000 guests . | Among the more than 6000 guests and musical performers at the 2009 convention were such notables as Patrick Stewart , William Shatner , Leonard Nimoy , Terry Gilliam , Bruce Boxleitner , James Marsters , and Mary McDonnell . | + | COVID-19 has reached more than 185 countries . | As of , more than cases of COVID-19 have been reported in more than 190 countries and 200 territories , resulting in more than deaths . | + | In March , Italy had 3.6x times more cases of coronavirus than China . | As of 12 March , among nations with at least one million citizens , Italy has the world 's highest per capita rate of positive coronavirus cases at 206.1 cases per million people ( 3.6x times the rate of China ) and is the country with the second-highest number of positive cases as well as of deaths in the world , after China . | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +#### negation-triplets + +* Dataset: negation-triplets +* Size: 128 evaluation samples +* Columns: anchor, entailment, and negative +* Approximate statistics based on the first 1000 samples: + | | anchor | entailment | negative | + |:--------|:---------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------| + | type | string | string | string | + | details | | | | +* Samples: + | anchor | entailment | negative | + |:-------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------------|:-----------------------------------------------------------------------------| + | Oranges in a basket, a pillow and a bottle of liquor. | Oranges are in a basket on a table next to a liquor bottle. | Oranges are not in a basket on a table next to a liquor bottle. | + | A flying plane with smoke trailing behind it. | An single passanger in an airplane flying through the sky | No single passanger in an airplane flying through the sky | + | The two young girls are dressed as fairies, and are playing in the leaves outdoors. | Girls are playing outdoors. | Girls are not playing outdoors. | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +#### scitail-pairs-pos + +* Dataset: [scitail-pairs-pos](https://huggingface.co/datasets/allenai/scitail) at [0cc4353](https://huggingface.co/datasets/allenai/scitail/tree/0cc4353235b289165dfde1c7c5d1be983f99ce44) +* Size: 128 evaluation samples +* Columns: sentence1 and sentence2 +* Approximate statistics based on the first 1000 samples: + | | sentence1 | sentence2 | + |:--------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | sentence1 | sentence2 | + |:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------| + | humans normally have 23 pairs of chromosomes. | Humans typically have 23 pairs pairs of chromosomes. | + | A solution is a homogenous mixture of two or more substances that exist in a single phase. | Solution is the term for a homogeneous mixture of two or more substances. | + | Upwelling The physical process in near-shore ocean systems of rising of nutrients and colder bottom waters to the surface because of constant wind patterns along the shoreline. | Upwelling is the term for when deep ocean water rises to the surface. | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +#### scitail-pairs-qa + +* Dataset: [scitail-pairs-qa](https://huggingface.co/datasets/allenai/scitail) at [0cc4353](https://huggingface.co/datasets/allenai/scitail/tree/0cc4353235b289165dfde1c7c5d1be983f99ce44) +* Size: 128 evaluation samples +* Columns: sentence1 and sentence2 +* Approximate statistics based on the first 1000 samples: + | | sentence1 | sentence2 | + |:--------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | sentence1 | sentence2 | + |:----------------------------------------------------------------------|:-------------------------------------------------------------| + | Heterotrophs is another name for consumers. | Heterotrophs is another name for what group? | + | Most of the earth's freshwater is in the form of frozen. | In what form is most of the earth's freshwater? | + | Scissors are compound machines. | Are scissors simple or compound machines? | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +#### xsum-pairs + +* Dataset: xsum-pairs +* Size: 128 evaluation samples +* Columns: document and summary +* Approximate statistics based on the first 1000 samples: + | | document | summary | + |:--------|:-------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | document | summary | + |:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------| + | The 70-year-old, who led England for four years before resigning in 2012, joins former Premier League managers Luis Felipe Scolari, Andre Villas-Boas, Gus Poyet and Felix Magath in China.
Former Chelsea manager Scolari coaches current champions Guangzhou Evergrande.
Capello's fellow Italian Marcello Lippi is in charge of China's national team.
A Jiangsu statement confirmed: "We have signed a working contract with Mr Fabio Capello. He will be the head coach. Welcome Fabio!"
Capello made his name at AC Milan in the 1990s, winning four Serie A titles and the Champions League. He went on to win two La Liga titles in separate spells with Real Madrid and another Italian league crown with Roma.
He also won Serie A twice with Juventus but both were revoked and they were demoted to the second division for their involvement in Italy's match-fixing scandal.
England reached the last 16 of the 2010 World Cup under Capello, losing to Germany, and he resigned two years later after a disagreement over the stripping of the captaincy from John Terry.
He went on to spend three years as Russia coach before being sacked. | Former England manager Fabio Capello is the latest high-profile coach to move to the Chinese Super League, signing a contract with Jiangsu Suning. | + | Residents were evacuated from surrounding buildings after the vehicle crashed into the mid-terrace shop on Station Road, Harrow at 03:30 BST.
Police said they had searched local hospitals to find the driver and a passenger who are believed to have fled the scene.
The shop and car were destroyed in the blaze but nobody was reported injured.
Eight fire engines and 58 firefighters took nearly three hours to put out the blaze, which also damaged offices on the first floor of the building.
Station Road has been closed for police to investigate the crash. No arrests have yet been made. | Police are searching for the driver of a car that smashed into a shop and burst into flames in north-west London. | + | Guinness had a cut to his neck when he was found abandoned in Grays, Essex in October.
Insp Joe White, of the RSPCA, said: "I could not believe it - it was one of the worst wounds I have seen in my whole time as an RSPCA inspector."
The dog has now been rehomed with a new family after emergency treatment.
"It looked as though he had been left with a collar on that was far too small for him and it had cut into his neck," said Insp White.
"I have seen some awful things but this one really hit me.
"How anyone could neglect this poor puppy in this way and ignore such an awful wound that so obviously needed treatment is just beyond me."
His new owner, Charlie Rees-Brown, from Grays, said: "The minute he walked through the door I just knew that he wasn't going to be leaving the house.
"He is such a cheeky, happy boy you really wouldn't know he had been through something so awful."
Guinness' original owners were never traced. | A cocker spaniel puppy was left with severe wounds thought to have been caused by being fitted with a collar that was too small. | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +#### sciq_pairs + +* Dataset: [sciq_pairs](https://huggingface.co/datasets/allenai/sciq) at [2c94ad3](https://huggingface.co/datasets/allenai/sciq/tree/2c94ad3e1aafab77146f384e23536f97a4849815) +* Size: 128 evaluation samples +* Columns: sentence1 and sentence2 +* Approximate statistics based on the first 1000 samples: + | | sentence1 | sentence2 | + |:--------|:----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | sentence1 | sentence2 | + |:------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| + | The cells of what basic plant structure lack chloroplasts? | | + | Shortening of muscle fibers is called what?` | Each muscle in the body is made up of cells called muscle fibers. Muscle fibers are long, thin cells that can do something that other cells cannot do—they are able to get shorter. Shortening of muscle fibers is called contraction . Muscle fibers can contract because they are made of proteins, called actin and myosin, that form long filaments (or fibers). When muscles contract, these protein filaments slide or glide past one another, shortening the length of the cell. When your muscles relax, the length extends back to the previous position. Nearly all movement in the body is the result of muscle contraction. | + | What are different forms of the same gene? | Homologous chromosomes form a pair, one from each parent. Homologous chromosomes are similar in size and shape, and contain the same genes, though they may have different alleles. Alleles are alternative forms of the same gene. This diagram represents two pairs of homologous chromosomes. | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +#### qasc_pairs + +* Dataset: [qasc_pairs](https://huggingface.co/datasets/allenai/qasc) at [a34ba20](https://huggingface.co/datasets/allenai/qasc/tree/a34ba204eb9a33b919c10cc08f4f1c8dae5ec070) +* Size: 128 evaluation samples +* Columns: sentence1 and sentence2 +* Approximate statistics based on the first 1000 samples: + | | sentence1 | sentence2 | + |:--------|:----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | sentence1 | sentence2 | + |:----------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| + | Of the following, which is most likely to cause disease? | pathogens can cause disease. Anthrax is an example of a bacterial pathogen.
Bacteria can cause disease | + | Doing what to food can extend shelf life by removing microorganisms? | killing microorganisms in food can be used to extend the shelf life of that food. Irradiation kills microorganisms that spoil food.
Irradiating food can extend shelf life by removing microorganisms. | + | What are the major producers in temperature and precipitation? | Plants are the major producers in terrestrial biomes.. Terrestrial biome distribution is largely influenced by temperature and precipitation.
Plants are the major producers in temperature and precipitation | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +#### openbookqa_pairs + +* Dataset: openbookqa_pairs +* Size: 128 evaluation samples +* Columns: question and fact +* Approximate statistics based on the first 1000 samples: + | | question | fact | + |:--------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | question | fact | + |:-----------------------------------------------------------------------|:-----------------------------------------------------------------------------| + | The thermal production of a stove is generically used for | a stove generates heat for cooking usually | + | What creates a valley? | a valley is formed by a river flowing | + | when it turns day and night on a planet, what cause this? | a planet rotating causes cycles of day and night on that planet | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +#### msmarco_pairs + +* Dataset: [msmarco_pairs](https://huggingface.co/datasets/sentence-transformers/msmarco-msmarco-distilbert-base-v3) at [28ff31e](https://huggingface.co/datasets/sentence-transformers/msmarco-msmarco-distilbert-base-v3/tree/28ff31e4c97cddd53d298497f766e653f1e666f9) +* Size: 128 evaluation samples +* Columns: sentence1 and sentence2 +* Approximate statistics based on the first 1000 samples: + | | sentence1 | sentence2 | + |:--------|:---------------------------------------------------------------------------------|:------------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | sentence1 | sentence2 | + |:--------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| + | what is estrella tv | Estrella TV. This article is about the American Spanish-language network. For the Mexican television network, see Las Estrellas. Estrella TV (Spanish pronunciation: [esˈtɾeʎa tβ]; stylized on-air as estrellaTV; translated in English as Star TV) is an American Spanish-language broadcast television network that is owned by Liberman Broadcasting. | + | telephone number for irs | 160 people found this helpful. Call the IRS: 1-800-829-1040 hours 7 AM - 7 PM local time Monday-Friday. When calling the IRS do NOT choose the first option re: Refund, or it will send you to an automated phone line. So after first choosing your language, then do NOT choose Option 1 (refund info). Choose option 2 for personal income tax instead. Then press 1 for form, tax history, or payment. | + | sinus rhythm definition | Sinus rhythm. A sinus rhythm is any cardiac rhythm where depolarisation of the cardiac muscle begins at the sinus node. It is characterised by the presence of correctly oriented P waves on the electrocardiogram (ECG). Sinus rhythm is necessary, but not sufficient, for normal electrical activity within the heart. | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +#### nq_pairs + +* Dataset: [nq_pairs](https://huggingface.co/datasets/sentence-transformers/natural-questions) at [f9e894e](https://huggingface.co/datasets/sentence-transformers/natural-questions/tree/f9e894e1081e206e577b4eaa9ee6de2b06ae6f17) +* Size: 128 evaluation samples +* Columns: sentence1 and sentence2 +* Approximate statistics based on the first 1000 samples: + | | sentence1 | sentence2 | + |:--------|:-----------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | sentence1 | sentence2 | + |:-------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| + | how many american troops died in the korean war | Korean War According to the data from the U.S. Department of Defense, the United States suffered 33,686 battle deaths, along with 2,830 non-battle deaths, during the Korean War.[273] U.S. battle deaths were 8,516 up to their first engagement with the Chinese on 1 November 1950.[274] South Korea reported some 373,599 civilian and 137,899 military deaths.[17] Western sources estimate the PVA suffered about 400,000 killed and 486,000 wounded, while the KPA suffered 215,000 killed and 303,000 wounded.[33] | + | doctor who the masque of mandragora part 1 | The Masque of Mandragora The Masque of Mandragora is the first serial of the 14th season of the British science fiction television series Doctor Who, which was first broadcast in four weekly parts from 4 September to 25 September 1976. | + | who won season 2 of rupaul drag race | RuPaul's Drag Race (season 2) The winner of the second season of RuPaul's Drag Race was Tyra Sanchez, with Raven being the runner-up. | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +#### trivia_pairs + +* Dataset: [trivia_pairs](https://huggingface.co/datasets/sentence-transformers/trivia-qa) at [a7c36e3](https://huggingface.co/datasets/sentence-transformers/trivia-qa/tree/a7c36e3c8c8c01526bc094d79bf80d4c848b0ad0) +* Size: 128 evaluation samples +* Columns: query and answer +* Approximate statistics based on the first 1000 samples: + | | query | answer | + |:--------|:----------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | query | answer | + |:------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| + | Most of the state of Nevada is in which time zone? | What time zone is Henderson, Nevada? Q&A What time zone is Henderson, Nevada? Henderson, Nevada is located in the Pacific Time Zone, which means that the time is Pacific Standard Time (PST) during regular time and Pacific Daylight Time (PDT) when daylight savings is in effect. Pacific Standard Time When it is Pacific Standard Time, Henderson, Nevada is UTC-08:00 which means that it is -8 hours offset from Coordinated Universal Time (UTC). The Pacific Standard Time in Henderson, Nevada (UTC-08:00) is shown in blue below: Pacific Daylight Time When it is Pacific Daylight Time, Henderson, Nevada will be UTC-07:00 which means that it is -7 hours offset from Coordinated Universal Time (UTC) and the time will be as follows in green: As you can see, the difference between PST and PDT in Henderson, Nevada is one hour, because the daylight savings is adjusted by one hour. Henderson, Nevada Time Zone Summary: Pacific Standard Time (PST) | + | The motto of which university is “Learn and Live”? | Welcome to LearnLive Technologies Support Welcome to LearnLive Technologies Welcome to LearnLive Technologies. Within the Learning Content Management System (LCMS) you will find access to the firm’s online Certified Professional Education (CPE) courses. Programs can be accessed as either Live Web-Cast events or Self Study courses. • You'll learn from outstanding interactive multimedia coursework • You'll learn from LearnLive Technologies’s own experts with a wealth of practical experience • You can study online at your convenience anytime 24 hours a day STUDENT LOGIN | + | Zeami, also called Kanze Motokiyo, (1363 - 1443) is considered the greatest playwright and theorist of which type of Japanese theatre in its current form? | The Impact of Buddhism in Japanese Noh Theatre on the The Impact of Buddhism in Japanese Noh Theatre on the integration code for your site or blog Width: ( | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +#### gooaq_pairs + +* Dataset: [gooaq_pairs](https://huggingface.co/datasets/sentence-transformers/gooaq) at [b089f72](https://huggingface.co/datasets/sentence-transformers/gooaq/tree/b089f728748a068b7bc5234e5bcf5b25e3c8279c) +* Size: 128 evaluation samples +* Columns: sentence1 and sentence2 +* Approximate statistics based on the first 1000 samples: + | | sentence1 | sentence2 | + |:--------|:----------------------------------------------------------------------------------|:------------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | sentence1 | sentence2 | + |:--------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| + | what are the essential elements of baptism? | Familiar Symbols Used in Baptism. There are five universal symbols of baptism: the cross, a white garment, oil, water, and light. Other familiar symbols include the baptismal font, scriptural readings and prayers, and godparents. | + | what are 5 differences between animal and plant cells? | Plant cells can be larger than animal cells. ... Beyond size, the main structural differences between plant and animal cells lie in a few additional structures found in plant cells. These structures include: chloroplasts, the cell wall, and vacuoles. | + | are you lonesome tonight cissy houston? | It was during Cissy Houston's soprano obbligato on 'Are You Lonesome Tonight?' that Elvis started laughing at the midnight show on August 26, 1969. ... This performance becomes an underground legend among Elvis fans until its official release on the Elvis Aron Presley eight LP box set in 1980. 'Elvis loved gospel music. | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +#### paws-pos + +* Dataset: [paws-pos](https://huggingface.co/datasets/google-research-datasets/paws) at [161ece9](https://huggingface.co/datasets/google-research-datasets/paws/tree/161ece9501cf0a11f3e48bd356eaa82de46d6a09) +* Size: 128 evaluation samples +* Columns: sentence1 and sentence2 +* Approximate statistics based on the first 1000 samples: + | | sentence1 | sentence2 | + |:--------|:-----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | sentence1 | sentence2 | + |:---------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------| + | They were there to enjoy us and they were there to pray for us . | They were there for us to enjoy and they were there for us to pray . | + | After the end of the war in June 1902 , Higgins left Southampton in the `` SSBavarian '' in August , returning to Cape Town the following month . | In August , after the end of the war in June 1902 , Higgins Southampton left the `` SSBavarian '' and returned to Cape Town the following month . | + | From the merger of the Four Rivers Council and the Audubon Council , the Shawnee Trails Council was born . | Shawnee Trails Council was formed from the merger of the Four Rivers Council and the Audubon Council . | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +#### global_dataset + +* Dataset: global_dataset +* Size: 416 evaluation samples +* Columns: sentence1 and sentence2 +* Approximate statistics based on the first 1000 samples: + | | sentence1 | sentence2 | + |:--------|:-----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | sentence1 | sentence2 | + |:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| + | More than 478,000 cases and more than 21,500 deaths have been reported worldwide . | more than 478,000 cases have been reported worldwide ; more than 21,500 people have died and more than 114,000 have recovered. | + | Solutions are homogenous mixtures of two or more substances. | Solution is the term for a homogeneous mixture of two or more substances. | + | Natural selection cannot create new variations in organisms - these new variations must be created by what, which are usually associated with some sort of abnormality? | Introduction All life on Earth is related. Evolutionary theory states that humans, beetles, plants, and bacteria all share a common ancestor, but that millions of years of evolution have shaped each of these organisms into the forms seen today. Scientists consider evolution a key concept to understanding life. Natural selection is one of the most dominant evolutionary forces. Natural selection acts to promote traits and behaviors that increase an organism’s chances of survival and reproduction, while eliminating those traits and behaviors that are to the organism’s detriment. But natural selection can only, as its name implies, select—it cannot create. The introduction of novel traits and behaviors falls on the shoulders of another evolutionary force—mutation. Mutation and other sources of variation among individuals, as well as the evolutionary forces that act upon them, alter populations and species. This combination of processes has led to the world of life we see today. | +* Loss: [CachedGISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters: + ```json + {'guide': 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': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) + (2): Normalize() + ), 'temperature': 0.025} + ``` + +### Training Hyperparameters +#### Non-Default Hyperparameters + +- `eval_strategy`: steps +- `per_device_train_batch_size`: 128 +- `per_device_eval_batch_size`: 128 +- `learning_rate`: 3.5e-05 +- `weight_decay`: 0.0005 +- `lr_scheduler_type`: cosine_with_min_lr +- `lr_scheduler_kwargs`: {'num_cycles': 0.4, 'min_lr': 1.1666666666666666e-05} +- `warmup_ratio`: 0.33 +- `save_safetensors`: False +- `fp16`: True +- `push_to_hub`: True +- `hub_model_id`: bobox/DeBERTa3-s-ST-checkpoints-tmp +- `hub_strategy`: all_checkpoints +- `batch_sampler`: no_duplicates + +#### All Hyperparameters +
Click to expand + +- `overwrite_output_dir`: False +- `do_predict`: False +- `eval_strategy`: steps +- `prediction_loss_only`: True +- `per_device_train_batch_size`: 128 +- `per_device_eval_batch_size`: 128 +- `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`: 3.5e-05 +- `weight_decay`: 0.0005 +- `adam_beta1`: 0.9 +- `adam_beta2`: 0.999 +- `adam_epsilon`: 1e-08 +- `max_grad_norm`: 1.0 +- `num_train_epochs`: 3 +- `max_steps`: -1 +- `lr_scheduler_type`: cosine_with_min_lr +- `lr_scheduler_kwargs`: {'num_cycles': 0.4, 'min_lr': 1.1666666666666666e-05} +- `warmup_ratio`: 0.33 +- `warmup_steps`: 0 +- `log_level`: passive +- `log_level_replica`: warning +- `log_on_each_node`: True +- `logging_nan_inf_filter`: True +- `save_safetensors`: False +- `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`: bobox/DeBERTa3-s-ST-checkpoints-tmp +- `hub_strategy`: all_checkpoints +- `hub_private_repo`: False +- `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 +- `eval_use_gather_object`: False +- `batch_sampler`: no_duplicates +- `multi_dataset_batch_sampler`: proportional + +
+ +### Training Logs +
Click to expand + +| Epoch | Step | Training Loss | gooaq pairs loss | negation-triplets loss | paws-pos loss | openbookqa pairs loss | vitaminc-pairs loss | global dataset loss | nq pairs loss | trivia pairs loss | msmarco pairs loss | scitail-pairs-pos loss | qasc pairs loss | sciq pairs loss | xsum-pairs loss | scitail-pairs-qa loss | Qnli-dev_max_ap | allNLI-dev_max_ap | sts-test_spearman_cosine | +|:------:|:----:|:-------------:|:----------------:|:----------------------:|:-------------:|:---------------------:|:-------------------:|:-------------------:|:-------------:|:-----------------:|:------------------:|:----------------------:|:---------------:|:---------------:|:---------------:|:---------------------:|:---------------:|:-----------------:|:------------------------:| +| 0.0010 | 1 | 6.6792 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0021 | 2 | 7.1528 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0031 | 3 | 7.5608 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0041 | 4 | 7.9785 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0051 | 5 | 8.3006 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0062 | 6 | 7.2339 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0072 | 7 | 6.9116 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0082 | 8 | 7.5568 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0093 | 9 | 7.3119 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0103 | 10 | 7.3456 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0113 | 11 | 7.3899 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0123 | 12 | 7.1603 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0134 | 13 | 7.5501 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0144 | 14 | 7.1211 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0154 | 15 | 6.6898 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0165 | 16 | 7.9275 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0175 | 17 | 8.8934 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0185 | 18 | 7.7481 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0195 | 19 | 7.9482 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0206 | 20 | 7.2578 | 10.2340 | 4.5882 | 1.2437 | 5.6553 | 3.0276 | 6.9473 | 14.8048 | 9.2554 | 15.6885 | 2.1124 | 5.2345 | 0.8615 | 7.2198 | 2.4078 | 0.6069 | 0.3708 | 0.1950 | +| 0.0216 | 21 | 14.6214 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0226 | 22 | 2.7071 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0237 | 23 | 7.3533 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0247 | 24 | 5.8828 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0257 | 25 | 5.549 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0267 | 26 | 7.0614 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0278 | 27 | 5.4115 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0288 | 28 | 14.986 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0298 | 29 | 6.5017 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0309 | 30 | 6.8621 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0319 | 31 | 7.6911 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0329 | 32 | 7.3478 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0340 | 33 | 9.8953 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0350 | 34 | 14.7971 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0360 | 35 | 6.6194 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0370 | 36 | 5.397 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0381 | 37 | 9.3816 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0391 | 38 | 13.3627 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0401 | 39 | 9.0198 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0412 | 40 | 6.3785 | 9.1486 | 4.4332 | 1.2890 | 5.4245 | 2.9660 | 6.3771 | 12.8630 | 8.4387 | 13.7142 | 2.0645 | 4.6854 | 0.7810 | 6.9302 | 2.3564 | 0.6135 | 0.3739 | 0.2043 | +| 0.0422 | 41 | 8.8223 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0432 | 42 | 5.7515 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0442 | 43 | 6.6943 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0453 | 44 | 12.7157 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0463 | 45 | 5.729 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0473 | 46 | 8.843 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0484 | 47 | 6.8743 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0494 | 48 | 5.5015 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0504 | 49 | 2.7761 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0514 | 50 | 4.6785 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0525 | 51 | 6.6596 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0535 | 52 | 5.4409 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0545 | 53 | 6.3967 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0556 | 54 | 6.3174 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0566 | 55 | 5.5442 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0576 | 56 | 5.9004 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0586 | 57 | 2.9543 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0597 | 58 | 6.4092 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0607 | 59 | 3.083 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0617 | 60 | 10.6811 | 7.9058 | 4.1278 | 1.2883 | 5.0926 | 2.9115 | 5.7226 | 10.5143 | 7.6597 | 11.2762 | 1.9704 | 4.0669 | 0.7032 | 6.6907 | 2.2410 | 0.6223 | 0.3800 | 0.2263 | +| 0.0628 | 61 | 4.6024 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0638 | 62 | 4.4378 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0648 | 63 | 6.4802 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0658 | 64 | 10.9004 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0669 | 65 | 6.7516 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0679 | 66 | 7.7821 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0689 | 67 | 6.1714 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0700 | 68 | 5.3013 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0710 | 69 | 9.0397 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0720 | 70 | 9.3361 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0730 | 71 | 5.1927 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0741 | 72 | 5.6994 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0751 | 73 | 7.5132 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0761 | 74 | 5.4796 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0772 | 75 | 2.7714 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0782 | 76 | 8.9842 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0792 | 77 | 10.1764 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0802 | 78 | 5.0512 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0813 | 79 | 5.5013 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0823 | 80 | 5.4496 | 7.1218 | 3.8783 | 1.2317 | 4.8200 | 2.8877 | 5.2696 | 8.8304 | 7.1683 | 9.5480 | 1.8524 | 3.6371 | 0.6627 | 6.5117 | 2.0657 | 0.6308 | 0.3888 | 0.2476 | +| 0.0833 | 81 | 9.1986 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0844 | 82 | 5.5779 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0854 | 83 | 5.446 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0864 | 84 | 5.5707 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0874 | 85 | 5.064 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0885 | 86 | 5.1192 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0895 | 87 | 5.0992 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0905 | 88 | 5.1639 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0916 | 89 | 6.4692 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0926 | 90 | 5.1285 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0936 | 91 | 2.8464 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0947 | 92 | 4.9592 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0957 | 93 | 5.1014 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0967 | 94 | 8.0528 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0977 | 95 | 6.5803 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0988 | 96 | 3.9696 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.0998 | 97 | 5.2509 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1008 | 98 | 7.8866 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1019 | 99 | 2.4669 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1029 | 100 | 6.8252 | 6.6161 | 3.7151 | 1.1048 | 4.6218 | 2.8646 | 4.8548 | 7.8658 | 6.7683 | 8.3932 | 1.6468 | 3.3297 | 0.6386 | 6.2974 | 1.8662 | 0.6362 | 0.3989 | 0.2688 | +| 0.1039 | 101 | 5.3891 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1049 | 102 | 8.2981 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1060 | 103 | 8.0844 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1070 | 104 | 4.0626 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1080 | 105 | 4.8851 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1091 | 106 | 5.1174 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1101 | 107 | 4.973 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1111 | 108 | 5.2879 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1121 | 109 | 4.9833 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1132 | 110 | 5.1619 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1142 | 111 | 8.2926 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1152 | 112 | 4.7478 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1163 | 113 | 4.7644 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1173 | 114 | 6.379 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1183 | 115 | 4.8567 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1193 | 116 | 4.939 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1204 | 117 | 6.4653 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1214 | 118 | 5.0902 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1224 | 119 | 4.4886 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1235 | 120 | 6.2223 | 6.2470 | 3.5347 | 0.8818 | 4.4997 | 2.8456 | 4.3624 | 7.2022 | 6.3956 | 7.5349 | 1.3952 | 3.0589 | 0.6114 | 6.1039 | 1.6223 | 0.6439 | 0.4074 | 0.2859 | +| 0.1245 | 121 | 4.5958 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1255 | 122 | 6.2355 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1265 | 123 | 6.0763 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1276 | 124 | 4.719 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1286 | 125 | 6.0796 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1296 | 126 | 4.284 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1307 | 127 | 4.4948 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1317 | 128 | 5.5456 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1327 | 129 | 5.8322 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1337 | 130 | 4.0772 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1348 | 131 | 4.3008 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1358 | 132 | 6.878 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1368 | 133 | 6.1897 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1379 | 134 | 4.142 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1389 | 135 | 1.7782 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1399 | 136 | 3.9578 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1409 | 137 | 5.8774 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1420 | 138 | 1.6068 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1430 | 139 | 4.164 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1440 | 140 | 3.8015 | 5.6637 | 3.3591 | 0.4957 | 4.5483 | 2.8151 | 3.7551 | 6.5336 | 6.0217 | 6.8907 | 1.2174 | 2.6878 | 0.5781 | 5.7987 | 1.2241 | 0.6564 | 0.4132 | 0.2925 | +| 0.1451 | 141 | 4.1039 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1461 | 142 | 6.598 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1471 | 143 | 3.8367 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1481 | 144 | 6.798 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1492 | 145 | 5.9084 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1502 | 146 | 3.8655 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1512 | 147 | 3.493 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1523 | 148 | 3.4505 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1533 | 149 | 3.9404 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1543 | 150 | 0.977 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1553 | 151 | 3.5493 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1564 | 152 | 3.2979 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1574 | 153 | 3.375 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1584 | 154 | 6.1056 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1595 | 155 | 3.4521 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1605 | 156 | 3.3153 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1615 | 157 | 3.4398 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1626 | 158 | 3.393 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1636 | 159 | 6.2424 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1646 | 160 | 5.7107 | 4.7626 | 3.2459 | 0.1717 | 4.0705 | 2.7820 | 3.0964 | 5.9619 | 5.7414 | 5.9341 | 0.9951 | 2.3834 | 0.5268 | 5.1889 | 0.8330 | 0.6718 | 0.4298 | 0.3239 | +| 0.1656 | 161 | 4.6423 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1667 | 162 | 5.7346 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1677 | 163 | 3.3701 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1687 | 164 | 3.2528 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1698 | 165 | 4.5692 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1708 | 166 | 3.4966 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1718 | 167 | 4.5332 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1728 | 168 | 3.7013 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1739 | 169 | 5.3538 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1749 | 170 | 2.8866 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1759 | 171 | 2.9547 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1770 | 172 | 5.2232 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1780 | 173 | 5.6116 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1790 | 174 | 2.8644 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1800 | 175 | 1.9015 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1811 | 176 | 4.6564 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1821 | 177 | 3.0869 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1831 | 178 | 1.7242 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1842 | 179 | 4.275 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1852 | 180 | 5.6429 | 4.0433 | 3.0997 | 0.1551 | 3.2862 | 2.7347 | 2.4818 | 5.2389 | 5.0401 | 5.0437 | 0.6654 | 2.0346 | 0.4332 | 4.3902 | 0.4433 | 0.6760 | 0.4555 | 0.3756 | +| 0.1862 | 181 | 4.1785 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1872 | 182 | 2.8654 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1883 | 183 | 2.9405 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1893 | 184 | 2.6342 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1903 | 185 | 3.8401 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1914 | 186 | 3.6136 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1924 | 187 | 3.0736 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1934 | 188 | 5.4694 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1944 | 189 | 2.7903 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1955 | 190 | 3.8552 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1965 | 191 | 4.133 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1975 | 192 | 3.3172 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1986 | 193 | 4.5717 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.1996 | 194 | 2.6895 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2006 | 195 | 4.8326 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2016 | 196 | 4.6939 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2027 | 197 | 2.6114 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2037 | 198 | 4.0035 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2047 | 199 | 4.6457 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2058 | 200 | 2.8982 | 3.2001 | 2.8204 | 0.1794 | 2.8746 | 2.7392 | 2.0390 | 4.4030 | 4.4547 | 4.0489 | 0.5787 | 1.7308 | 0.3697 | 3.6776 | 0.3260 | 0.6748 | 0.4773 | 0.4334 | +| 0.2068 | 201 | 4.1212 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2078 | 202 | 3.712 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2088 | 203 | 2.4475 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2099 | 204 | 2.0375 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2109 | 205 | 3.6423 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2119 | 206 | 5.0227 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2130 | 207 | 4.743 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2140 | 208 | 4.502 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2150 | 209 | 2.2948 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2160 | 210 | 3.3056 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2171 | 211 | 2.1324 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2181 | 212 | 2.2595 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2191 | 213 | 2.3108 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2202 | 214 | 2.7378 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2212 | 215 | 2.3095 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2222 | 216 | 3.4556 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2233 | 217 | 2.9786 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2243 | 218 | 1.9408 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2253 | 219 | 2.9416 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2263 | 220 | 2.0087 | 2.7983 | 2.6802 | 0.1660 | 2.5593 | 2.7134 | 1.7499 | 3.8474 | 3.6182 | 3.5379 | 0.5108 | 1.6458 | 0.3281 | 2.8044 | 0.2779 | 0.6717 | 0.4885 | 0.5170 | +| 0.2274 | 221 | 3.9528 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2284 | 222 | 1.1222 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2294 | 223 | 1.2289 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2305 | 224 | 1.193 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2315 | 225 | 3.8686 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2325 | 226 | 0.3667 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2335 | 227 | 2.1571 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2346 | 228 | 2.1233 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2356 | 229 | 3.0183 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2366 | 230 | 0.4344 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2377 | 231 | 2.6828 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2387 | 232 | 4.1836 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2397 | 233 | 1.8063 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2407 | 234 | 3.4165 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2418 | 235 | 3.1603 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2428 | 236 | 2.9251 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2438 | 237 | 1.726 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2449 | 238 | 0.7677 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2459 | 239 | 3.7962 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2469 | 240 | 3.6562 | 2.5963 | 2.5461 | 0.0936 | 2.2948 | 2.7294 | 1.6047 | 3.7770 | 3.4961 | 3.3645 | 0.4518 | 1.5385 | 0.2976 | 2.5418 | 0.1177 | 0.6982 | 0.4985 | 0.5704 | +| 0.2479 | 241 | 2.8804 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2490 | 242 | 1.7607 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.25 | 243 | 3.877 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2510 | 244 | 1.6768 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2521 | 245 | 0.8368 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2531 | 246 | 1.6864 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2541 | 247 | 1.3478 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2551 | 248 | 1.7764 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2562 | 249 | 1.8495 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2572 | 250 | 0.285 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2582 | 251 | 1.6516 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2593 | 252 | 1.5781 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2603 | 253 | 4.791 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2613 | 254 | 3.7502 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2623 | 255 | 2.6088 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2634 | 256 | 3.2271 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2644 | 257 | 1.3969 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2654 | 258 | 2.5281 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2665 | 259 | 2.8561 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2675 | 260 | 3.9495 | 2.3922 | 2.3755 | 0.0884 | 2.0269 | 2.7556 | 1.4206 | 3.4232 | 3.1350 | 2.9229 | 0.3832 | 1.4006 | 0.2485 | 2.2755 | 0.1029 | 0.6988 | 0.5057 | 0.6288 | +| 0.2685 | 261 | 1.7349 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2695 | 262 | 1.7189 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2706 | 263 | 1.7282 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2716 | 264 | 2.9146 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2726 | 265 | 1.7603 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2737 | 266 | 1.823 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2747 | 267 | 1.5984 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2757 | 268 | 1.651 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2767 | 269 | 2.615 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2778 | 270 | 2.6608 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2788 | 271 | 2.2558 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2798 | 272 | 1.2155 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2809 | 273 | 1.4727 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2819 | 274 | 3.6394 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2829 | 275 | 2.1385 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2840 | 276 | 2.3953 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2850 | 277 | 1.488 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2860 | 278 | 1.2893 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2870 | 279 | 0.7678 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2881 | 280 | 2.6801 | 2.0072 | 2.1310 | 0.0832 | 1.8889 | 2.8100 | 1.2508 | 3.0089 | 2.6720 | 2.5089 | 0.3367 | 1.3423 | 0.2190 | 1.8792 | 0.1009 | 0.7020 | 0.5172 | 0.6819 | +| 0.2891 | 281 | 1.4147 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2901 | 282 | 0.2152 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2912 | 283 | 1.3908 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2922 | 284 | 2.6877 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2932 | 285 | 1.1107 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2942 | 286 | 3.3415 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2953 | 287 | 1.6332 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2963 | 288 | 2.5232 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2973 | 289 | 4.1329 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2984 | 290 | 1.3592 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.2994 | 291 | 0.1327 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3004 | 292 | 2.2552 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3014 | 293 | 1.5245 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3025 | 294 | 2.9299 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3035 | 295 | 0.6583 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3045 | 296 | 2.0637 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3056 | 297 | 2.6771 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3066 | 298 | 2.755 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3076 | 299 | 3.3638 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3086 | 300 | 0.7053 | 1.7379 | 1.9352 | 0.0627 | 1.7778 | 2.8123 | 1.1463 | 2.9204 | 2.5232 | 2.3514 | 0.3145 | 1.3199 | 0.1999 | 1.7079 | 0.0733 | 0.7099 | 0.5174 | 0.7072 | +| 0.3097 | 301 | 3.1007 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3107 | 302 | 1.0158 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3117 | 303 | 2.8023 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3128 | 304 | 3.0464 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3138 | 305 | 1.1718 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3148 | 306 | 1.0429 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3158 | 307 | 1.3403 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3169 | 308 | 2.5188 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3179 | 309 | 1.3855 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3189 | 310 | 1.1986 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3200 | 311 | 2.2651 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3210 | 312 | 2.5339 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3220 | 313 | 1.3687 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3230 | 314 | 2.1529 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3241 | 315 | 2.3677 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3251 | 316 | 2.6956 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3261 | 317 | 2.4821 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3272 | 318 | 1.2667 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3282 | 319 | 2.4697 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3292 | 320 | 2.488 | 1.6084 | 1.9014 | 0.0688 | 1.7856 | 2.8488 | 1.0822 | 2.6008 | 2.2225 | 2.1672 | 0.2930 | 1.2029 | 0.1829 | 1.6595 | 0.0585 | 0.7176 | 0.5216 | 0.7248 | +| 0.3302 | 321 | 1.1381 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3313 | 322 | 1.74 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3323 | 323 | 1.2228 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3333 | 324 | 1.1824 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3344 | 325 | 0.9803 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3354 | 326 | 0.2092 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3364 | 327 | 1.9639 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3374 | 328 | 2.6183 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3385 | 329 | 1.2629 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3395 | 330 | 2.3154 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3405 | 331 | 2.9437 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3416 | 332 | 0.1481 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3426 | 333 | 2.0438 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3436 | 334 | 1.1147 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3447 | 335 | 2.4102 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3457 | 336 | 3.1869 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3467 | 337 | 0.464 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3477 | 338 | 2.3863 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3488 | 339 | 2.1807 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3498 | 340 | 2.6664 | 1.5303 | 1.8002 | 0.0560 | 1.6939 | 2.9213 | 1.0296 | 2.6143 | 2.1714 | 2.0791 | 0.2491 | 1.0957 | 0.1735 | 1.4958 | 0.0329 | 0.7152 | 0.5242 | 0.7360 | +| 0.3508 | 341 | 2.0315 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3519 | 342 | 2.025 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3529 | 343 | 2.7561 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3539 | 344 | 2.2758 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3549 | 345 | 1.2086 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3560 | 346 | 1.1789 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3570 | 347 | 2.0743 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3580 | 348 | 0.1388 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3591 | 349 | 1.007 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3601 | 350 | 1.0298 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3611 | 351 | 2.3117 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3621 | 352 | 1.1729 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3632 | 353 | 1.8233 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3642 | 354 | 1.2639 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3652 | 355 | 1.1652 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3663 | 356 | 1.1368 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3673 | 357 | 1.122 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3683 | 358 | 1.2503 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3693 | 359 | 2.2025 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3704 | 360 | 0.9197 | 1.4498 | 1.7166 | 0.0516 | 1.6077 | 2.9362 | 0.9715 | 2.5516 | 1.8932 | 2.0156 | 0.2488 | 0.9755 | 0.1665 | 1.3931 | 0.0319 | 0.7205 | 0.5468 | 0.7614 | +| 0.3714 | 361 | 0.4565 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3724 | 362 | 0.9519 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3735 | 363 | 2.876 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3745 | 364 | 1.5415 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3755 | 365 | 1.017 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3765 | 366 | 1.4156 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3776 | 367 | 3.272 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3786 | 368 | 0.8205 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3796 | 369 | 2.7472 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3807 | 370 | 0.1251 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3817 | 371 | 1.7165 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3827 | 372 | 2.0682 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3837 | 373 | 0.1312 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3848 | 374 | 1.473 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3858 | 375 | 0.9278 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3868 | 376 | 1.9585 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3879 | 377 | 2.3601 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3889 | 378 | 1.0816 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3899 | 379 | 2.3182 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3909 | 380 | 2.0826 | 1.3238 | 1.6979 | 0.0497 | 1.6913 | 3.0764 | 0.9411 | 2.3235 | 1.7299 | 1.9394 | 0.2408 | 1.0029 | 0.1519 | 1.2622 | 0.0279 | 0.7220 | 0.5387 | 0.7683 | +| 0.3920 | 381 | 0.4021 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3930 | 382 | 1.0139 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3940 | 383 | 1.4995 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3951 | 384 | 2.4814 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3961 | 385 | 2.715 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3971 | 386 | 2.1024 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3981 | 387 | 0.9607 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.3992 | 388 | 0.9005 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4002 | 389 | 0.0972 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4012 | 390 | 1.7057 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4023 | 391 | 2.1665 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4033 | 392 | 1.2397 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4043 | 393 | 2.2046 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4053 | 394 | 0.1259 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4064 | 395 | 1.5374 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4074 | 396 | 1.0678 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4084 | 397 | 1.6494 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4095 | 398 | 1.8241 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4105 | 399 | 2.5338 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4115 | 400 | 0.728 | 1.2486 | 1.6348 | 0.0467 | 1.5551 | 3.1967 | 0.9042 | 2.1636 | 1.6105 | 1.7548 | 0.2562 | 0.9308 | 0.1441 | 1.1464 | 0.0266 | 0.7113 | 0.5500 | 0.7857 | +| 0.4126 | 401 | 1.6954 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4136 | 402 | 0.8749 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4146 | 403 | 1.6856 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4156 | 404 | 0.1254 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4167 | 405 | 0.6986 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4177 | 406 | 2.179 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4187 | 407 | 2.7119 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4198 | 408 | 1.0071 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4208 | 409 | 1.1775 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4218 | 410 | 1.1221 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4228 | 411 | 2.146 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4239 | 412 | 1.1117 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4249 | 413 | 1.1356 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4259 | 414 | 1.0309 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4270 | 415 | 2.0714 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4280 | 416 | 2.4046 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4290 | 417 | 0.3751 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4300 | 418 | 0.9194 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4311 | 419 | 0.0876 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4321 | 420 | 1.0256 | 1.1973 | 1.5960 | 0.0472 | 1.6668 | 3.1364 | 0.8762 | 2.0737 | 1.4645 | 1.7236 | 0.2570 | 0.9005 | 0.1469 | 1.1688 | 0.0259 | 0.7165 | 0.5529 | 0.7837 | +| 0.4331 | 421 | 0.75 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4342 | 422 | 1.0858 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4352 | 423 | 2.2561 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4362 | 424 | 0.2822 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4372 | 425 | 1.286 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4383 | 426 | 1.6777 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4393 | 427 | 1.609 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4403 | 428 | 0.8033 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4414 | 429 | 3.845 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4424 | 430 | 1.0592 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4434 | 431 | 0.7032 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4444 | 432 | 0.0603 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4455 | 433 | 2.1237 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4465 | 434 | 1.3715 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4475 | 435 | 2.1316 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4486 | 436 | 1.2195 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4496 | 437 | 3.4846 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4506 | 438 | 2.1621 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4516 | 439 | 2.6488 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4527 | 440 | 1.1381 | 1.2047 | 1.5735 | 0.0459 | 1.5508 | 3.1598 | 0.8645 | 2.0675 | 1.4166 | 1.6069 | 0.2344 | 0.8661 | 0.1423 | 1.0596 | 0.0269 | 0.7199 | 0.5535 | 0.7908 | +| 0.4537 | 441 | 1.7843 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4547 | 442 | 1.6954 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4558 | 443 | 0.8673 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4568 | 444 | 0.8696 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4578 | 445 | 1.5461 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4588 | 446 | 0.9683 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4599 | 447 | 1.2983 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4609 | 448 | 0.0942 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4619 | 449 | 0.8264 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4630 | 450 | 2.1522 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4640 | 451 | 2.6668 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4650 | 452 | 0.9999 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4660 | 453 | 0.9551 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4671 | 454 | 0.8174 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4681 | 455 | 1.6169 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4691 | 456 | 0.2584 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4702 | 457 | 1.2947 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4712 | 458 | 1.0283 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4722 | 459 | 1.0379 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4733 | 460 | 2.4063 | 1.0226 | 1.4926 | 0.0444 | 1.5750 | 3.1323 | 0.8342 | 1.8502 | 1.3719 | 1.5958 | 0.2000 | 0.8895 | 0.1401 | 1.0117 | 0.0199 | 0.7075 | 0.5608 | 0.8065 | +| 0.4743 | 461 | 3.1972 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4753 | 462 | 0.6914 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4763 | 463 | 2.1495 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4774 | 464 | 1.9195 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4784 | 465 | 0.0819 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4794 | 466 | 0.2882 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4805 | 467 | 1.3187 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4815 | 468 | 2.0175 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4825 | 469 | 1.1298 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4835 | 470 | 0.751 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4846 | 471 | 1.7641 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4856 | 472 | 1.2676 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4866 | 473 | 1.2802 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4877 | 474 | 0.2798 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4887 | 475 | 1.786 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4897 | 476 | 0.9421 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4907 | 477 | 1.8988 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4918 | 478 | 1.0397 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4928 | 479 | 2.2289 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4938 | 480 | 0.8923 | 0.9783 | 1.4414 | 0.0438 | 1.3823 | 2.9393 | 0.7840 | 1.8946 | 1.2537 | 1.5830 | 0.1912 | 0.8246 | 0.1420 | 0.9755 | 0.0156 | 0.7244 | 0.5670 | 0.8093 | +| 0.4949 | 481 | 1.5281 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4959 | 482 | 1.4874 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4969 | 483 | 1.3973 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4979 | 484 | 0.6967 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.4990 | 485 | 1.8954 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5 | 486 | 2.1666 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5010 | 487 | 0.9414 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5021 | 488 | 2.1697 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5031 | 489 | 2.2224 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5041 | 490 | 0.7158 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5051 | 491 | 0.8864 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5062 | 492 | 1.7706 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5072 | 493 | 1.0602 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5082 | 494 | 1.6377 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5093 | 495 | 0.1079 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5103 | 496 | 0.7662 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5113 | 497 | 1.662 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5123 | 498 | 2.0872 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5134 | 499 | 0.6517 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5144 | 500 | 0.8729 | 0.9387 | 1.3408 | 0.0424 | 1.5129 | 2.9438 | 0.7603 | 1.7509 | 1.3734 | 1.4881 | 0.2116 | 0.8120 | 0.1385 | 0.9553 | 0.0187 | 0.7280 | 0.5696 | 0.8158 | +| 0.5154 | 501 | 3.6159 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5165 | 502 | 0.2539 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5175 | 503 | 0.8589 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5185 | 504 | 1.7416 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5195 | 505 | 1.7693 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5206 | 506 | 1.5639 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5216 | 507 | 0.8746 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5226 | 508 | 1.5769 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5237 | 509 | 0.6175 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5247 | 510 | 0.8312 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5257 | 511 | 0.867 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5267 | 512 | 1.2859 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5278 | 513 | 2.2659 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5288 | 514 | 1.7138 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5298 | 515 | 0.3393 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5309 | 516 | 0.9776 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5319 | 517 | 0.6971 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5329 | 518 | 0.6725 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5340 | 519 | 0.6854 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5350 | 520 | 1.7726 | 0.9035 | 1.3329 | 0.0419 | 1.5796 | 2.9273 | 0.7330 | 1.7318 | 1.2999 | 1.4811 | 0.1869 | 0.7873 | 0.1443 | 0.8691 | 0.0149 | 0.7310 | 0.5723 | 0.8158 | +| 0.5360 | 521 | 0.6841 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5370 | 522 | 1.4999 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5381 | 523 | 1.8423 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5391 | 524 | 3.2063 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5401 | 525 | 0.7876 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5412 | 526 | 0.7463 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5422 | 527 | 1.317 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5432 | 528 | 1.533 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5442 | 529 | 0.9414 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5453 | 530 | 0.8405 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5463 | 531 | 1.1217 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5473 | 532 | 0.6404 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5484 | 533 | 0.6283 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5494 | 534 | 0.0678 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5504 | 535 | 0.5242 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5514 | 536 | 1.9928 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5525 | 537 | 0.8622 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5535 | 538 | 1.2746 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5545 | 539 | 0.7844 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5556 | 540 | 1.041 | 0.8851 | 1.2928 | 0.0428 | 1.4682 | 2.9952 | 0.7442 | 1.7500 | 1.2845 | 1.4439 | 0.1593 | 0.7541 | 0.1418 | 0.7691 | 0.0162 | 0.7249 | 0.5672 | 0.8206 | +| 0.5566 | 541 | 0.9339 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5576 | 542 | 0.0237 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5586 | 543 | 0.4569 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5597 | 544 | 0.6537 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5607 | 545 | 1.5957 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5617 | 546 | 0.0269 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5628 | 547 | 0.7591 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5638 | 548 | 0.7064 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5648 | 549 | 1.201 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5658 | 550 | 0.7516 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5669 | 551 | 0.0917 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5679 | 552 | 0.9826 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5689 | 553 | 0.8362 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5700 | 554 | 1.5957 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5710 | 555 | 1.2807 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5720 | 556 | 1.6863 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5730 | 557 | 1.5643 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5741 | 558 | 1.2279 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5751 | 559 | 0.7398 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5761 | 560 | 1.7229 | 0.8280 | 1.2844 | 0.0394 | 1.4733 | 2.8546 | 0.7243 | 1.7121 | 1.3426 | 1.4930 | 0.1762 | 0.6848 | 0.1440 | 0.8270 | 0.0132 | 0.7369 | 0.5786 | 0.8175 | +| 0.5772 | 561 | 0.593 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5782 | 562 | 1.8963 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5792 | 563 | 0.743 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5802 | 564 | 0.5824 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5813 | 565 | 1.7532 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5823 | 566 | 0.6509 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5833 | 567 | 0.7318 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5844 | 568 | 1.3168 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5854 | 569 | 0.599 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5864 | 570 | 1.672 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5874 | 571 | 0.7583 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5885 | 572 | 0.1891 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5895 | 573 | 0.6344 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5905 | 574 | 1.303 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5916 | 575 | 2.2275 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5926 | 576 | 1.3081 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5936 | 577 | 0.5681 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5947 | 578 | 0.6258 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5957 | 579 | 1.1454 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5967 | 580 | 1.3416 | 0.8173 | 1.2214 | 0.0395 | 1.3294 | 2.9443 | 0.6971 | 1.6727 | 1.1193 | 1.3514 | 0.1804 | 0.6811 | 0.1340 | 0.7096 | 0.0159 | 0.7212 | 0.5868 | 0.8294 | +| 0.5977 | 581 | 1.6136 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5988 | 582 | 0.5856 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.5998 | 583 | 0.7762 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.6008 | 584 | 2.0577 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.6019 | 585 | 1.8893 | - | - | - | - | - | - | - 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| +| 0.6235 | 606 | 1.7983 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.6245 | 607 | 0.1446 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.6255 | 608 | 0.6929 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.6265 | 609 | 0.056 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.6276 | 610 | 0.6738 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.6286 | 611 | 1.4398 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.6296 | 612 | 3.152 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.6307 | 613 | 1.8703 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.6317 | 614 | 0.0766 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.6327 | 615 | 2.4434 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.6337 | 616 | 1.4074 | - | - | - | - | - | - | - 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| +| 0.6862 | 667 | 0.9572 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.6872 | 668 | 1.9663 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.6883 | 669 | 0.8968 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.6893 | 670 | 0.7906 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.6903 | 671 | 0.7443 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.6914 | 672 | 0.6939 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.6924 | 673 | 1.202 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.6934 | 674 | 0.0276 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.6944 | 675 | 1.121 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.6955 | 676 | 0.721 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 0.6965 | 677 | 1.0949 | - | - | - | - | - | - | - 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| - | - | - | - | - | - | - | - | - | - | +| 1.0123 | 984 | 0.33 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0134 | 985 | 0.3986 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0144 | 986 | 0.6489 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0154 | 987 | 0.2832 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0165 | 988 | 1.116 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0175 | 989 | 1.5305 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0185 | 990 | 0.434 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0195 | 991 | 0.2973 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0206 | 992 | 0.5811 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0216 | 993 | 0.9475 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0226 | 994 | 0.0351 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0237 | 995 | 1.0881 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0247 | 996 | 0.517 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0257 | 997 | 0.521 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0267 | 998 | 0.3103 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0278 | 999 | 0.4539 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0288 | 1000 | 1.0192 | 0.5649 | 1.0286 | 0.0259 | 1.0345 | 3.1994 | 0.5550 | 1.2776 | 1.0064 | 1.0276 | 0.2147 | 0.4079 | 0.1154 | 0.5070 | 0.0026 | 0.7457 | 0.6026 | 0.8487 | +| 1.0298 | 1001 | 0.523 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0309 | 1002 | 0.9026 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0319 | 1003 | 0.7104 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0329 | 1004 | 1.1418 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0340 | 1005 | 1.2133 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0350 | 1006 | 1.1203 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0360 | 1007 | 2.5254 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0370 | 1008 | 0.3947 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0381 | 1009 | 1.0774 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0391 | 1010 | 1.0608 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0401 | 1011 | 0.9121 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0412 | 1012 | 0.2954 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0422 | 1013 | 1.2817 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0432 | 1014 | 0.8201 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0442 | 1015 | 0.4308 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0453 | 1016 | 1.2293 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0463 | 1017 | 0.4804 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0473 | 1018 | 1.3674 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0484 | 1019 | 0.9312 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0494 | 1020 | 0.7554 | 0.4880 | 1.0230 | 0.0269 | 0.9421 | 2.9377 | 0.5201 | 1.0521 | 1.0933 | 1.0334 | 0.1969 | 0.3323 | 0.1144 | 0.4489 | 0.0017 | 0.7642 | 0.6114 | 0.8460 | +| 1.0504 | 1021 | 0.027 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0514 | 1022 | 0.0478 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0525 | 1023 | 0.4828 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0535 | 1024 | 0.4244 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0545 | 1025 | 0.4789 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0556 | 1026 | 0.4748 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0566 | 1027 | 0.9816 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0576 | 1028 | 0.417 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0586 | 1029 | 0.0292 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0597 | 1030 | 1.287 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0607 | 1031 | 0.0098 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0617 | 1032 | 1.3394 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0628 | 1033 | 0.0586 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0638 | 1034 | 0.0479 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0648 | 1035 | 1.0693 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0658 | 1036 | 1.1871 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0669 | 1037 | 0.6046 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0679 | 1038 | 0.9365 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0689 | 1039 | 0.4727 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0700 | 1040 | 0.5346 | 0.5340 | 1.0011 | 0.0271 | 0.9878 | 3.0460 | 0.5354 | 1.0526 | 1.0560 | 0.9954 | 0.1820 | 0.2992 | 0.1131 | 0.4650 | 0.0008 | 0.7720 | 0.6122 | 0.8504 | +| 1.0710 | 1041 | 1.2332 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0720 | 1042 | 1.0986 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0730 | 1043 | 0.7022 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0741 | 1044 | 0.3632 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0751 | 1045 | 1.0894 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0761 | 1046 | 0.238 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0772 | 1047 | 0.072 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0782 | 1048 | 1.2267 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0792 | 1049 | 1.456 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0802 | 1050 | 0.2923 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0813 | 1051 | 0.4242 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0823 | 1052 | 1.0295 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0833 | 1053 | 0.8706 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0844 | 1054 | 0.3193 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0854 | 1055 | 0.2568 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0864 | 1056 | 0.5477 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0874 | 1057 | 0.3996 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0885 | 1058 | 0.4762 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0895 | 1059 | 0.3927 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0905 | 1060 | 1.3277 | 0.5519 | 0.9577 | 0.0234 | 0.9580 | 3.1601 | 0.5671 | 1.0773 | 1.1340 | 0.9790 | 0.1734 | 0.3153 | 0.1106 | 0.4660 | 0.0018 | 0.7611 | 0.6075 | 0.8476 | +| 1.0916 | 1061 | 0.4485 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0926 | 1062 | 0.7556 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0936 | 1063 | 0.0762 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0947 | 1064 | 1.2212 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0957 | 1065 | 0.584 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0967 | 1066 | 1.3773 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0977 | 1067 | 0.4408 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0988 | 1068 | 0.0213 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.0998 | 1069 | 0.3992 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1008 | 1070 | 1.0667 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1019 | 1071 | 0.0228 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1029 | 1072 | 0.8587 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1039 | 1073 | 0.7988 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1049 | 1074 | 1.4636 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1060 | 1075 | 1.381 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1070 | 1076 | 0.0192 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1080 | 1077 | 0.9076 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1091 | 1078 | 1.2966 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1101 | 1079 | 0.4105 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1111 | 1080 | 0.7761 | 0.5294 | 0.9766 | 0.0233 | 0.9628 | 3.0867 | 0.5385 | 1.0573 | 1.1324 | 1.0066 | 0.1879 | 0.3036 | 0.1080 | 0.5109 | 0.0011 | 0.7808 | 0.6052 | 0.8464 | +| 1.1121 | 1081 | 0.5059 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1132 | 1082 | 0.3282 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1142 | 1083 | 1.224 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1152 | 1084 | 0.4268 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1163 | 1085 | 0.4377 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1173 | 1086 | 0.4703 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1183 | 1087 | 0.3646 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1193 | 1088 | 0.4196 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1204 | 1089 | 0.835 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1214 | 1090 | 0.3469 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1224 | 1091 | 0.3437 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1235 | 1092 | 0.4888 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1245 | 1093 | 0.8271 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1255 | 1094 | 0.816 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1265 | 1095 | 0.7494 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1276 | 1096 | 0.491 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1286 | 1097 | 0.5567 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1296 | 1098 | 0.3713 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1307 | 1099 | 0.2869 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1317 | 1100 | 1.1908 | 0.5364 | 1.0108 | 0.0246 | 0.9837 | 3.1509 | 0.5056 | 0.9649 | 1.0762 | 0.9828 | 0.1789 | 0.2483 | 0.1007 | 0.4392 | 0.0008 | 0.7729 | 0.6214 | 0.8521 | +| 1.1327 | 1101 | 0.5443 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1337 | 1102 | 0.4682 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1348 | 1103 | 0.431 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1358 | 1104 | 1.0068 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1368 | 1105 | 1.0226 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1379 | 1106 | 0.3054 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1389 | 1107 | 0.0094 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1399 | 1108 | 0.43 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1409 | 1109 | 1.3944 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1420 | 1110 | 0.064 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1430 | 1111 | 0.3928 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1440 | 1112 | 0.3311 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1451 | 1113 | 1.11 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1461 | 1114 | 1.585 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1471 | 1115 | 0.684 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1481 | 1116 | 1.2634 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1492 | 1117 | 0.5913 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1502 | 1118 | 0.3623 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1512 | 1119 | 0.4191 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1523 | 1120 | 0.2817 | 0.4642 | 0.9653 | 0.0239 | 1.0044 | 2.7898 | 0.4476 | 0.8773 | 0.9639 | 0.8981 | 0.1889 | 0.2739 | 0.0970 | 0.3933 | 0.0019 | 0.7657 | 0.6155 | 0.8489 | +| 1.1533 | 1121 | 0.5464 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1543 | 1122 | 0.0391 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1553 | 1123 | 0.4436 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1564 | 1124 | 0.3815 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1574 | 1125 | 0.3715 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1584 | 1126 | 0.7445 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1595 | 1127 | 0.5149 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1605 | 1128 | 0.5129 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1615 | 1129 | 0.6473 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1626 | 1130 | 0.362 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1636 | 1131 | 1.4168 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1646 | 1132 | 2.5522 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1656 | 1133 | 0.8093 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1667 | 1134 | 0.9214 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1677 | 1135 | 0.4376 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1687 | 1136 | 0.2709 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1698 | 1137 | 0.9257 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1708 | 1138 | 0.4183 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1718 | 1139 | 0.7341 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1728 | 1140 | 0.9119 | 0.4964 | 0.9699 | 0.0241 | 1.0764 | 2.7946 | 0.4707 | 0.9931 | 0.9768 | 1.0081 | 0.1658 | 0.3081 | 0.1004 | 0.4380 | 0.0017 | 0.7865 | 0.6134 | 0.8440 | +| 1.1739 | 1141 | 0.5853 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1749 | 1142 | 0.2389 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1759 | 1143 | 0.2277 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1770 | 1144 | 0.7624 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1780 | 1145 | 1.1422 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1790 | 1146 | 0.3251 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1800 | 1147 | 0.0637 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1811 | 1148 | 0.5474 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1821 | 1149 | 0.5393 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1831 | 1150 | 0.0976 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1842 | 1151 | 0.736 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1852 | 1152 | 3.0791 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1862 | 1153 | 0.6167 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1872 | 1154 | 0.4412 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1883 | 1155 | 0.5349 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1893 | 1156 | 0.4062 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1903 | 1157 | 0.8493 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1914 | 1158 | 0.9965 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1924 | 1159 | 0.3258 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1934 | 1160 | 1.2638 | 0.5412 | 0.9960 | 0.0238 | 0.9382 | 2.6616 | 0.4532 | 1.0058 | 1.0242 | 0.9834 | 0.1592 | 0.2927 | 0.1006 | 0.4238 | 0.0013 | 0.7871 | 0.6183 | 0.8511 | +| 1.1944 | 1161 | 0.3684 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1955 | 1162 | 0.7415 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1965 | 1163 | 0.8754 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1975 | 1164 | 0.8829 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1986 | 1165 | 1.0219 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.1996 | 1166 | 0.5988 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2006 | 1167 | 0.736 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2016 | 1168 | 0.8933 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2027 | 1169 | 0.297 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2037 | 1170 | 0.4777 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2047 | 1171 | 0.7994 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2058 | 1172 | 0.7322 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2068 | 1173 | 0.6891 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2078 | 1174 | 0.4517 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2088 | 1175 | 0.3482 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2099 | 1176 | 0.3659 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2109 | 1177 | 0.4379 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2119 | 1178 | 1.4326 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2130 | 1179 | 1.7587 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2140 | 1180 | 2.3312 | 0.5339 | 0.9950 | 0.0235 | 0.9294 | 2.8959 | 0.4911 | 1.0276 | 1.0199 | 1.0548 | 0.1581 | 0.2670 | 0.1001 | 0.3749 | 0.0019 | 0.7583 | 0.6263 | 0.8598 | +| 1.2150 | 1181 | 0.5342 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2160 | 1182 | 0.8755 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2171 | 1183 | 0.2909 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2181 | 1184 | 0.4853 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2191 | 1185 | 0.3582 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2202 | 1186 | 0.7855 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2212 | 1187 | 0.4932 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2222 | 1188 | 0.7346 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2233 | 1189 | 0.853 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2243 | 1190 | 0.2163 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2253 | 1191 | 0.837 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2263 | 1192 | 0.3778 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2274 | 1193 | 1.1152 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2284 | 1194 | 0.0215 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2294 | 1195 | 0.0653 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2305 | 1196 | 0.0659 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2315 | 1197 | 0.9698 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2325 | 1198 | 0.0016 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2335 | 1199 | 0.327 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2346 | 1200 | 0.5392 | 0.5597 | 1.0122 | 0.0237 | 0.9108 | 2.8409 | 0.4765 | 1.0037 | 1.1227 | 1.1427 | 0.1708 | 0.2371 | 0.1197 | 0.3720 | 0.0003 | 0.7764 | 0.6149 | 0.8553 | +| 1.2356 | 1201 | 0.8535 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2366 | 1202 | 0.0045 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2377 | 1203 | 0.7916 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2387 | 1204 | 0.9205 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2397 | 1205 | 0.242 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2407 | 1206 | 1.0257 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2418 | 1207 | 0.7247 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2428 | 1208 | 0.3461 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2438 | 1209 | 0.303 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2449 | 1210 | 0.0228 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2459 | 1211 | 1.2976 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2469 | 1212 | 1.173 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2479 | 1213 | 0.9466 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2490 | 1214 | 0.2666 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.25 | 1215 | 0.9441 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2510 | 1216 | 0.2589 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2521 | 1217 | 0.0168 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2531 | 1218 | 0.3212 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2541 | 1219 | 0.3108 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2551 | 1220 | 0.3269 | 0.4652 | 0.9489 | 0.0231 | 0.8670 | 2.7786 | 0.4495 | 0.8098 | 0.9328 | 0.9565 | 0.1553 | 0.2218 | 0.1124 | 0.3712 | 0.0006 | 0.7719 | 0.6290 | 0.8535 | +| 1.2562 | 1221 | 0.341 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2572 | 1222 | 0.0162 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2582 | 1223 | 0.3307 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2593 | 1224 | 0.2021 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2603 | 1225 | 2.8801 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2613 | 1226 | 1.1785 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2623 | 1227 | 0.7136 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2634 | 1228 | 0.6168 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2644 | 1229 | 0.2191 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2654 | 1230 | 0.5133 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2665 | 1231 | 1.1907 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2675 | 1232 | 1.2727 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2685 | 1233 | 0.3664 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2695 | 1234 | 0.45 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2706 | 1235 | 0.4915 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2716 | 1236 | 0.8899 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2726 | 1237 | 0.4613 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2737 | 1238 | 0.4084 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2747 | 1239 | 0.3376 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2757 | 1240 | 0.2337 | 0.5014 | 0.9545 | 0.0238 | 0.8298 | 2.6382 | 0.4215 | 0.9495 | 0.8465 | 0.9185 | 0.1654 | 0.2384 | 0.0944 | 0.3593 | 0.0013 | 0.7695 | 0.6248 | 0.8589 | +| 1.2767 | 1241 | 1.122 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2778 | 1242 | 1.1248 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2788 | 1243 | 0.5031 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.2798 | 1244 | 0.211 | - | - | - 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| - | +| 1.5792 | 1535 | 0.2353 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.5802 | 1536 | 0.2101 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.5813 | 1537 | 0.7077 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.5823 | 1538 | 0.2138 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.5833 | 1539 | 0.1992 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.5844 | 1540 | 0.64 | 0.3545 | 0.9201 | 0.0203 | 0.9911 | 3.1962 | 0.4995 | 0.8279 | 0.7074 | 0.7845 | 0.1547 | 0.2292 | 0.0978 | 0.3135 | 0.0018 | 0.7542 | 0.6344 | 0.8691 | +| 1.5854 | 1541 | 0.2026 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.5864 | 1542 | 0.7612 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.5874 | 1543 | 0.2014 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.5885 | 1544 | 0.0185 | - | - | - | - | - | - 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| - | +| 1.5998 | 1555 | 0.1417 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6008 | 1556 | 0.6634 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6019 | 1557 | 0.8749 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6029 | 1558 | 0.0083 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6039 | 1559 | 1.7723 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6049 | 1560 | 0.1408 | 0.3988 | 0.8980 | 0.0211 | 0.9419 | 3.2678 | 0.5038 | 0.8226 | 0.6305 | 0.7458 | 0.1513 | 0.2085 | 0.1039 | 0.3681 | 0.0015 | 0.7464 | 0.6293 | 0.8669 | +| 1.6060 | 1561 | 0.2573 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6070 | 1562 | 0.2668 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6080 | 1563 | 0.2826 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6091 | 1564 | 0.2666 | - | - | - | - | - 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| - | +| 1.6204 | 1575 | 0.2172 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6214 | 1576 | 0.078 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6224 | 1577 | 0.3766 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6235 | 1578 | 0.6639 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6245 | 1579 | 0.0204 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6255 | 1580 | 0.1661 | 0.4584 | 1.0144 | 0.0217 | 0.8185 | 3.2190 | 0.4830 | 0.7911 | 0.7180 | 0.8171 | 0.1510 | 0.2259 | 0.0958 | 0.2915 | 0.0023 | 0.7709 | 0.6241 | 0.8642 | +| 1.6265 | 1581 | 0.0404 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6276 | 1582 | 0.2553 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6286 | 1583 | 0.6284 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6296 | 1584 | 2.1434 | - | - | - | - | - 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| - | +| 1.6409 | 1595 | 0.2011 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6420 | 1596 | 0.0116 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6430 | 1597 | 0.3944 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6440 | 1598 | 0.1438 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6451 | 1599 | 0.3185 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6461 | 1600 | 0.4497 | 0.4310 | 0.9933 | 0.0219 | 0.8151 | 3.2943 | 0.4891 | 0.7699 | 0.6994 | 0.8214 | 0.1558 | 0.1970 | 0.1020 | 0.3159 | 0.0011 | 0.7594 | 0.6237 | 0.8730 | +| 1.6471 | 1601 | 0.3233 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6481 | 1602 | 0.257 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6492 | 1603 | 0.0258 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6502 | 1604 | 0.4831 | - | - | - | - | - 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| - | - | +| 1.6615 | 1615 | 0.8901 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6626 | 1616 | 0.1987 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6636 | 1617 | 0.0073 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6646 | 1618 | 0.2412 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6656 | 1619 | 1.8227 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6667 | 1620 | 0.0598 | 0.5019 | 0.9426 | 0.0214 | 0.8474 | 3.1476 | 0.4568 | 0.7676 | 0.6710 | 0.7654 | 0.1586 | 0.1948 | 0.0995 | 0.2819 | 0.0009 | 0.7637 | 0.6202 | 0.8770 | +| 1.6677 | 1621 | 0.1709 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6687 | 1622 | 0.3081 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6698 | 1623 | 0.2765 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6708 | 1624 | 0.3699 | - | - | - | - 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| - | - | - | +| 1.6821 | 1635 | 0.7252 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6831 | 1636 | 0.6238 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6842 | 1637 | 0.4887 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6852 | 1638 | 0.4855 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6862 | 1639 | 0.4773 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6872 | 1640 | 0.7261 | 0.4891 | 0.9496 | 0.0219 | 0.8703 | 3.1628 | 0.4575 | 0.7763 | 0.6840 | 0.8121 | 0.1690 | 0.1856 | 0.0930 | 0.2952 | 0.0008 | 0.7721 | 0.6216 | 0.8782 | +| 1.6883 | 1641 | 0.205 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6893 | 1642 | 0.3409 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6903 | 1643 | 0.247 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.6914 | 1644 | 0.2139 | - | - | - | - 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| - | - | +| 1.7027 | 1655 | 1.9773 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7037 | 1656 | 0.4096 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7047 | 1657 | 0.2046 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7058 | 1658 | 1.8898 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7068 | 1659 | 0.8136 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7078 | 1660 | 0.1098 | 0.4631 | 0.9866 | 0.0238 | 0.9197 | 2.9153 | 0.4633 | 0.6126 | 0.8041 | 0.8759 | 0.1705 | 0.1884 | 0.0884 | 0.3100 | 0.0008 | 0.7668 | 0.6298 | 0.8770 | +| 1.7088 | 1661 | 0.1057 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7099 | 1662 | 0.1945 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7109 | 1663 | 0.2146 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7119 | 1664 | 2.6085 | - | - | - | - 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| - | - | - | +| 1.7233 | 1675 | 0.5376 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7243 | 1676 | 0.1742 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7253 | 1677 | 0.2372 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7263 | 1678 | 0.1288 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7274 | 1679 | 0.2187 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7284 | 1680 | 0.0119 | 0.4709 | 0.9644 | 0.0231 | 0.8163 | 3.0897 | 0.4909 | 0.7389 | 0.7574 | 0.8340 | 0.1620 | 0.1779 | 0.0953 | 0.2713 | 0.0008 | 0.7748 | 0.6278 | 0.8716 | +| 1.7294 | 1681 | 0.8887 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7305 | 1682 | 0.0087 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7315 | 1683 | 0.0037 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7325 | 1684 | 0.1736 | - | - | - 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| - | - | - | +| 1.7438 | 1695 | 0.5131 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7449 | 1696 | 0.2149 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7459 | 1697 | 0.1498 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7469 | 1698 | 0.5195 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7479 | 1699 | 0.3056 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7490 | 1700 | 0.963 | 0.4432 | 0.9487 | 0.0242 | 0.8162 | 2.8579 | 0.4447 | 0.7423 | 0.7449 | 0.8438 | 0.1663 | 0.1833 | 0.0953 | 0.3309 | 0.0011 | 0.7680 | 0.6288 | 0.8686 | +| 1.75 | 1701 | 0.2111 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7510 | 1702 | 0.0115 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7521 | 1703 | 0.2114 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7531 | 1704 | 0.513 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7541 | 1705 | 0.0274 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7551 | 1706 | 0.2203 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7562 | 1707 | 0.2425 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7572 | 1708 | 0.5636 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7582 | 1709 | 0.5244 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7593 | 1710 | 0.6237 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7603 | 1711 | 0.7565 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7613 | 1712 | 0.3421 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7623 | 1713 | 0.2019 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7634 | 1714 | 0.0141 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7644 | 1715 | 1.0066 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7654 | 1716 | 0.375 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7665 | 1717 | 0.7385 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7675 | 1718 | 1.9866 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7685 | 1719 | 0.9198 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7695 | 1720 | 0.2244 | 0.4483 | 0.9842 | 0.0228 | 0.7592 | 2.8904 | 0.4341 | 0.6917 | 0.7600 | 0.7813 | 0.1510 | 0.1919 | 0.0924 | 0.2992 | 0.0011 | 0.7643 | 0.6212 | 0.8744 | +| 1.7706 | 1721 | 0.5082 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7716 | 1722 | 0.4326 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7726 | 1723 | 0.1983 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7737 | 1724 | 0.0274 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7747 | 1725 | 0.1137 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7757 | 1726 | 0.1116 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7767 | 1727 | 0.092 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7778 | 1728 | 0.1858 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7788 | 1729 | 0.6419 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7798 | 1730 | 0.1703 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7809 | 1731 | 0.7053 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7819 | 1732 | 2.1567 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7829 | 1733 | 0.4677 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7840 | 1734 | 0.4804 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7850 | 1735 | 0.5776 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7860 | 1736 | 0.6962 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7870 | 1737 | 0.6357 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7881 | 1738 | 0.3795 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7891 | 1739 | 0.3097 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7901 | 1740 | 0.1951 | 0.3732 | 0.9560 | 0.0216 | 0.7558 | 2.9958 | 0.4613 | 0.7864 | 0.7835 | 0.8534 | 0.1532 | 0.1743 | 0.0940 | 0.2835 | 0.0013 | 0.7635 | 0.6187 | 0.8742 | +| 1.7912 | 1741 | 0.186 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7922 | 1742 | 0.4295 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7932 | 1743 | 0.4061 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7942 | 1744 | 0.2292 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7953 | 1745 | 0.1824 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7963 | 1746 | 0.5721 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7973 | 1747 | 0.0676 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7984 | 1748 | 0.6563 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.7994 | 1749 | 0.5341 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8004 | 1750 | 0.5455 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8014 | 1751 | 0.1567 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8025 | 1752 | 0.7594 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8035 | 1753 | 0.525 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8045 | 1754 | 0.0113 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8056 | 1755 | 0.2422 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8066 | 1756 | 0.1063 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8076 | 1757 | 0.9026 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8086 | 1758 | 0.6694 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8097 | 1759 | 0.3589 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8107 | 1760 | 0.6306 | 0.3563 | 0.9192 | 0.0217 | 0.8176 | 3.0513 | 0.4764 | 0.8028 | 0.7429 | 0.8001 | 0.1448 | 0.1731 | 0.0984 | 0.3016 | 0.0014 | 0.7560 | 0.6236 | 0.8744 | +| 1.8117 | 1761 | 0.1209 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8128 | 1762 | 0.1031 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8138 | 1763 | 0.3235 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8148 | 1764 | 0.0158 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8158 | 1765 | 0.3182 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8169 | 1766 | 0.2515 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8179 | 1767 | 0.009 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8189 | 1768 | 0.0098 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8200 | 1769 | 0.9151 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8210 | 1770 | 0.0175 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8220 | 1771 | 0.1808 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8230 | 1772 | 0.0881 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8241 | 1773 | 0.4814 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8251 | 1774 | 0.0891 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8261 | 1775 | 0.0898 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8272 | 1776 | 0.5568 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8282 | 1777 | 0.1711 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8292 | 1778 | 0.3617 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8302 | 1779 | 0.2282 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8313 | 1780 | 0.5814 | 0.4708 | 0.9597 | 0.0220 | 0.7956 | 2.9693 | 0.4897 | 0.7890 | 0.7905 | 0.8655 | 0.1277 | 0.1885 | 0.1041 | 0.2729 | 0.0005 | 0.7617 | 0.6339 | 0.8721 | +| 1.8323 | 1781 | 2.3695 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8333 | 1782 | 0.2563 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8344 | 1783 | 0.3371 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8354 | 1784 | 0.6057 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8364 | 1785 | 0.3104 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8374 | 1786 | 0.1396 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8385 | 1787 | 0.1254 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8395 | 1788 | 0.7074 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8405 | 1789 | 0.602 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8416 | 1790 | 0.3409 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8426 | 1791 | 0.3956 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8436 | 1792 | 0.4256 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8447 | 1793 | 0.5065 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8457 | 1794 | 0.6154 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8467 | 1795 | 0.0099 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8477 | 1796 | 0.2757 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8488 | 1797 | 0.01 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8498 | 1798 | 0.2952 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8508 | 1799 | 0.0057 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8519 | 1800 | 0.4099 | 0.4350 | 0.9271 | 0.0224 | 0.7462 | 3.0529 | 0.4930 | 0.7967 | 0.7439 | 0.8211 | 0.1117 | 0.1660 | 0.0954 | 0.2602 | 0.0008 | 0.7582 | 0.6302 | 0.8743 | +| 1.8529 | 1801 | 0.178 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8539 | 1802 | 0.176 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8549 | 1803 | 0.0919 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8560 | 1804 | 0.2261 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8570 | 1805 | 0.1215 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8580 | 1806 | 0.6661 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8591 | 1807 | 0.0122 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8601 | 1808 | 0.6757 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8611 | 1809 | 0.1978 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8621 | 1810 | 0.1788 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8632 | 1811 | 0.4695 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8642 | 1812 | 0.0018 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8652 | 1813 | 0.1199 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8663 | 1814 | 0.6889 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8673 | 1815 | 0.1593 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8683 | 1816 | 0.0051 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8693 | 1817 | 0.162 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8704 | 1818 | 0.1779 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8714 | 1819 | 0.225 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8724 | 1820 | 0.1736 | 0.3878 | 0.9493 | 0.0220 | 0.7412 | 3.3042 | 0.5354 | 0.7984 | 0.7931 | 0.9513 | 0.1227 | 0.1502 | 0.0998 | 0.2364 | 0.0005 | 0.7637 | 0.6265 | 0.8719 | +| 1.8735 | 1821 | 0.1192 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8745 | 1822 | 0.2173 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8755 | 1823 | 0.6745 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8765 | 1824 | 0.1692 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8776 | 1825 | 0.4567 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8786 | 1826 | 0.2002 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8796 | 1827 | 0.4919 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8807 | 1828 | 0.1809 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8817 | 1829 | 0.1848 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8827 | 1830 | 0.4554 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8837 | 1831 | 0.6297 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8848 | 1832 | 0.3771 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8858 | 1833 | 0.8774 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8868 | 1834 | 0.1061 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8879 | 1835 | 0.2193 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8889 | 1836 | 0.7368 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8899 | 1837 | 0.4926 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8909 | 1838 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8920 | 1839 | 0.2516 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8930 | 1840 | 0.0 | 0.4433 | 0.9159 | 0.0219 | 0.7930 | 3.1197 | 0.4826 | 0.6981 | 0.7952 | 0.9313 | 0.1482 | 0.1730 | 0.0975 | 0.2741 | 0.0007 | 0.7670 | 0.6186 | 0.8642 | +| 1.8940 | 1841 | 0.1917 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8951 | 1842 | 0.4027 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8961 | 1843 | 0.1881 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8971 | 1844 | 0.1529 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8981 | 1845 | 0.172 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.8992 | 1846 | 0.845 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9002 | 1847 | 0.0012 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9012 | 1848 | 0.0182 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9023 | 1849 | 0.4674 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9033 | 1850 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9043 | 1851 | 0.1461 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9053 | 1852 | 0.2166 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9064 | 1853 | 0.2023 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9074 | 1854 | 0.1569 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9084 | 1855 | 0.1806 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9095 | 1856 | 0.0058 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9105 | 1857 | 0.5055 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9115 | 1858 | 0.1331 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9126 | 1859 | 0.0108 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9136 | 1860 | 0.1008 | 0.4134 | 0.9827 | 0.0222 | 0.7975 | 3.0288 | 0.4649 | 0.7462 | 0.8017 | 0.9014 | 0.1485 | 0.1702 | 0.1007 | 0.2824 | 0.0009 | 0.7639 | 0.6305 | 0.8701 | +| 1.9146 | 1861 | 0.5098 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9156 | 1862 | 0.5998 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9167 | 1863 | 0.4014 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9177 | 1864 | 0.4707 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9187 | 1865 | 0.6546 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9198 | 1866 | 0.2037 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9208 | 1867 | 0.003 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9218 | 1868 | 0.1487 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9228 | 1869 | 0.0033 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9239 | 1870 | 0.6399 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9249 | 1871 | 0.1786 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9259 | 1872 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9270 | 1873 | 0.4316 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9280 | 1874 | 1.7473 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9290 | 1875 | 0.2205 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9300 | 1876 | 0.1184 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9311 | 1877 | 0.9313 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9321 | 1878 | 0.6615 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9331 | 1879 | 0.0461 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9342 | 1880 | 0.0076 | 0.3914 | 0.9320 | 0.0217 | 0.7787 | 2.9923 | 0.4424 | 0.6970 | 0.8204 | 0.8464 | 0.1322 | 0.1666 | 0.1057 | 0.2159 | 0.0009 | 0.7647 | 0.6364 | 0.8707 | +| 1.9352 | 1881 | 0.8086 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9362 | 1882 | 0.4009 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9372 | 1883 | 0.1506 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9383 | 1884 | 0.6098 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9393 | 1885 | 0.3716 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9403 | 1886 | 0.0106 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9414 | 1887 | 0.1585 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9424 | 1888 | 0.0522 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9434 | 1889 | 0.6374 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9444 | 1890 | 0.0609 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9455 | 1891 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9465 | 1892 | 0.6847 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9475 | 1893 | 0.1891 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9486 | 1894 | 0.4884 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9496 | 1895 | 0.1411 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9506 | 1896 | 0.1993 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9516 | 1897 | 0.6724 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9527 | 1898 | 0.1213 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9537 | 1899 | 0.0021 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9547 | 1900 | 0.1918 | 0.3775 | 0.9119 | 0.0219 | 0.7798 | 3.2663 | 0.4880 | 0.7218 | 0.8397 | 0.9162 | 0.1533 | 0.1846 | 0.0991 | 0.3071 | 0.0005 | 0.7611 | 0.6364 | 0.8703 | +| 1.9558 | 1901 | 0.1054 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9568 | 1902 | 0.1073 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9578 | 1903 | 0.4918 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9588 | 1904 | 0.1429 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9599 | 1905 | 0.4735 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9609 | 1906 | 0.5734 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9619 | 1907 | 0.0327 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9630 | 1908 | 0.2095 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9640 | 1909 | 0.1096 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9650 | 1910 | 0.5209 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9660 | 1911 | 0.1833 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9671 | 1912 | 0.1049 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9681 | 1913 | 0.2033 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9691 | 1914 | 0.6956 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9702 | 1915 | 0.3216 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9712 | 1916 | 0.095 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9722 | 1917 | 1.6029 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9733 | 1918 | 0.5031 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9743 | 1919 | 0.1559 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9753 | 1920 | 0.689 | 0.4109 | 0.9503 | 0.0229 | 0.8230 | 3.2075 | 0.4753 | 0.7282 | 0.8469 | 0.8961 | 0.1501 | 0.1925 | 0.0905 | 0.2431 | 0.0006 | 0.7693 | 0.6444 | 0.8672 | +| 1.9763 | 1921 | 0.1694 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9774 | 1922 | 0.6042 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9784 | 1923 | 0.4886 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9794 | 1924 | 0.2256 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9805 | 1925 | 0.0011 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9815 | 1926 | 0.2649 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9825 | 1927 | 0.0076 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9835 | 1928 | 0.1577 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9846 | 1929 | 0.2949 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9856 | 1930 | 0.0956 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9866 | 1931 | 0.1822 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9877 | 1932 | 0.1155 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9887 | 1933 | 0.0821 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9897 | 1934 | 0.2296 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9907 | 1935 | 0.2635 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9918 | 1936 | 0.0338 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9928 | 1937 | 0.5136 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9938 | 1938 | 0.0701 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9949 | 1939 | 0.1657 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9959 | 1940 | 0.6497 | 0.3833 | 1.0326 | 0.0227 | 0.8373 | 3.4555 | 0.5050 | 0.7238 | 0.8589 | 0.9624 | 0.1614 | 0.1663 | 0.0908 | 0.3126 | 0.0005 | 0.7657 | 0.6344 | 0.8661 | +| 1.9969 | 1941 | 0.3913 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9979 | 1942 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 1.9990 | 1943 | 0.1129 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0 | 1944 | 0.1786 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0010 | 1945 | 0.0721 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0021 | 1946 | 0.124 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0031 | 1947 | 0.4688 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0041 | 1948 | 0.1731 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0051 | 1949 | 0.5941 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0062 | 1950 | 0.1637 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0072 | 1951 | 0.1451 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0082 | 1952 | 0.1332 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0093 | 1953 | 0.2481 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0103 | 1954 | 0.21 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0113 | 1955 | 0.149 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0123 | 1956 | 0.1146 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0134 | 1957 | 0.0926 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0144 | 1958 | 0.234 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0154 | 1959 | 0.0647 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0165 | 1960 | 0.5429 | 0.4012 | 0.9964 | 0.0237 | 0.8276 | 3.2571 | 0.4686 | 0.7387 | 0.8336 | 0.8606 | 0.1575 | 0.1665 | 0.0889 | 0.2893 | 0.0004 | 0.7789 | 0.6281 | 0.8643 | +| 2.0175 | 1961 | 0.5538 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0185 | 1962 | 0.1512 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0195 | 1963 | 0.1231 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0206 | 1964 | 0.1405 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0216 | 1965 | 0.4344 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0226 | 1966 | 0.0216 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0237 | 1967 | 0.3757 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0247 | 1968 | 0.176 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0257 | 1969 | 0.1509 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0267 | 1970 | 0.0743 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0278 | 1971 | 0.2057 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0288 | 1972 | 0.421 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0298 | 1973 | 0.1599 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0309 | 1974 | 0.1982 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0319 | 1975 | 0.3077 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0329 | 1976 | 0.8843 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0340 | 1977 | 0.5713 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0350 | 1978 | 0.5019 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0360 | 1979 | 1.8065 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0370 | 1980 | 0.1463 | 0.4133 | 0.9722 | 0.0233 | 0.8728 | 3.4514 | 0.4928 | 0.8093 | 0.7549 | 0.8322 | 0.1548 | 0.1666 | 0.0901 | 0.2884 | 0.0009 | 0.7581 | 0.6184 | 0.8683 | +| 2.0381 | 1981 | 0.3849 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0391 | 1982 | 0.4461 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0401 | 1983 | 0.2719 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0412 | 1984 | 0.1207 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0422 | 1985 | 0.5871 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0432 | 1986 | 0.4427 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0442 | 1987 | 0.1111 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0453 | 1988 | 0.5194 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0463 | 1989 | 0.2192 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0473 | 1990 | 0.6813 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0484 | 1991 | 0.3654 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0494 | 1992 | 0.4521 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0504 | 1993 | 0.025 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0514 | 1994 | 0.0074 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0525 | 1995 | 0.1088 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0535 | 1996 | 0.1488 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0545 | 1997 | 0.2028 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0556 | 1998 | 0.2184 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0566 | 1999 | 0.5343 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0576 | 2000 | 0.1262 | 0.4163 | 1.0028 | 0.0239 | 0.8189 | 3.2384 | 0.4608 | 0.6646 | 0.8133 | 0.8768 | 0.1357 | 0.1615 | 0.0939 | 0.2515 | 0.0006 | 0.7626 | 0.6229 | 0.8699 | +| 2.0586 | 2001 | 0.0128 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0597 | 2002 | 0.7624 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0607 | 2003 | 0.0013 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0617 | 2004 | 0.4478 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0628 | 2005 | 0.0241 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0638 | 2006 | 0.0063 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0648 | 2007 | 0.6027 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0658 | 2008 | 0.6883 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0669 | 2009 | 0.1842 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0679 | 2010 | 0.2991 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0689 | 2011 | 0.096 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0700 | 2012 | 0.2244 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0710 | 2013 | 0.5941 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0720 | 2014 | 0.4248 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0730 | 2015 | 0.3148 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0741 | 2016 | 0.1327 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0751 | 2017 | 0.447 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0761 | 2018 | 0.0471 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0772 | 2019 | 0.0168 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0782 | 2020 | 0.4154 | 0.4292 | 0.9911 | 0.0229 | 0.8944 | 3.5048 | 0.5070 | 0.6677 | 0.7820 | 0.8895 | 0.1401 | 0.1626 | 0.0910 | 0.2653 | 0.0005 | 0.7636 | 0.6391 | 0.8725 | +| 2.0792 | 2021 | 0.5803 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0802 | 2022 | 0.0786 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0813 | 2023 | 0.0877 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0823 | 2024 | 0.3655 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0833 | 2025 | 0.2755 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0844 | 2026 | 0.0915 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0854 | 2027 | 0.0344 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0864 | 2028 | 0.1478 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0874 | 2029 | 0.1627 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0885 | 2030 | 0.1453 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0895 | 2031 | 0.1726 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0905 | 2032 | 0.6505 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0916 | 2033 | 0.1241 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0926 | 2034 | 0.4726 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0936 | 2035 | 0.0298 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0947 | 2036 | 0.4278 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0957 | 2037 | 0.1557 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0967 | 2038 | 0.499 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0977 | 2039 | 0.1144 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.0988 | 2040 | 0.0013 | 0.4616 | 0.9596 | 0.0228 | 0.8722 | 3.3722 | 0.4955 | 0.6812 | 0.8062 | 0.9411 | 0.1411 | 0.1603 | 0.0960 | 0.2545 | 0.0004 | 0.7687 | 0.6387 | 0.8689 | +| 2.0998 | 2041 | 0.0587 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.1008 | 2042 | 0.3979 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.1019 | 2043 | 0.0009 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 2.1029 | 2044 | 0.308 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | + +
+ +### Framework Versions +- Python: 3.10.14 +- Sentence Transformers: 3.0.1 +- Transformers: 4.44.0 +- PyTorch: 2.4.0 +- Accelerate: 0.33.0 +- Datasets: 2.21.0 +- 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", +} +``` + + + + + + \ No newline at end of file