diff --git "a/checkpoint-1830/README.md" "b/checkpoint-1830/README.md" new file mode 100644--- /dev/null +++ "b/checkpoint-1830/README.md" @@ -0,0 +1,2699 @@ +--- +base_model: microsoft/deberta-v3-small +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:32500 +- loss:GISTEmbedLoss +widget: +- source_sentence: What was the name of Jed's nephew in The Beverly Hillbillies? + sentences: + - Jed Clampett - The Beverly Hillbillies Characters - ShareTV Buddy Ebsen began + his career as a dancer in the late 1920s in a Broadway chorus. He later formed + a vaudeville ... Character Bio Although he had received little formal education, + Jed Clampett had a good deal of common sense. A good-natured man, he is the apparent + head of the family. Jed's wife (Elly May's mother) died, but is referred to in + the episode "Duke Steals A Wife" as Rose Ellen. Jed was shown to be an expert + marksman and was extremely loyal to his family and kinfolk. The huge oil pool + in the swamp he owned was the beginning of his rags-to-riches journey to Beverly + Hills. Although he longed for the old ways back in the hills, he made the best + of being in Beverly Hills. Whenever he had anything on his mind, he would sit + on the curbstone of his mansion and whittle until he came up with the answer. + Jedediah, the version of Jed's name used in the 1993 Beverly Hillbillies theatrical + movie, was never mentioned in the original television series (though coincidentally, + on Ebsen's subsequent series, Barnaby Jones, Barnaby's nephew J.R. was also named + Jedediah). In one episode Jed and Granny reminisce about seeing Buddy Ebsen and + Vilma Ebsen—a joking reference to the Ebsens' song and dance act. Jed appears + in all 274 episodes. Episode Screenshots + - a stove generates heat for cooking usually + - Miss Marple series by Agatha Christie Miss Marple series 43 works, 13 primary + works Mystery series in order of publication. Miss Marple is introduced in The + Murder at the Vicarage but the books can be read in any order. Mixed short story + collections are included if some are Marple, often have horror, supernatural, + maybe detective Poirot, Pyne, or Quin. Note that "Nemesis" should be read AFTER + "A Caribbean Holiday" +- source_sentence: A recording of folk songs done for the Columbia society in 1942 + was largely arranged by Pjetër Dungu . + sentences: + - Someone cooking drugs in a spoon over a candle + - A recording of folk songs made for the Columbia society in 1942 was largely arranged + by Pjetër Dungu . + - A Murder of Crows, A Parliament of Owls What do You Call a Group of Birds? Do + you know what a group of Ravens is called? What about a group of peacocks, snipe + or hummingbirds? Here is a list of Bird Collectives, terms that you can use to + describe a group of birds. Birds in general +- source_sentence: A person in a kitchen looking at the oven. + sentences: + - "staying warm has a positive impact on an animal 's survival. Furry animals grow\ + \ thicker coats to keep warm in the winter. \n Furry animals grow thicker coats\ + \ which has a positive impact on their survival. " + - A woman In the kitchen opening her oven. + - EE has apologised after a fault left some of its customers unable to use the internet + on their mobile devices. +- source_sentence: Air can be separated into several elements. + sentences: + - Which of the following substances can be separated into several elements? + - 'Funny Interesting Facts Humor Strange: Carl and the Passions changed band name + to what Carl and the Passions changed band name to what Beach Boys Carl and the + Passions - "So Tough" is the fifteenth studio album released by The Beach Boys + in 1972. In its initial release, it was the second disc of a two-album set with + Pet Sounds (which The Beach Boys were able to license from Capitol Records). Unfortunately, + due to the fact that Carl and the Passions - "So Tough" was a transitional album + that saw the departure of one member and the introduction of two new ones, making + it wildly inconsistent in terms of type of material present, it paled next to + their 1966 classic and was seen as something of a disappointment in its time of + release. The title of the album itself was a reference to an early band Carl Wilson + had been in as a teenager (some say a possible early name for the Beach Boys). + It was also the first album released under a new deal with Warner Bros. that allowed + the company to distribute all future Beach Boys product in foreign as well as + domestic markets.' + - Which statement correctly describes a relationship between two human body systems? +- source_sentence: What do outdoor plants require to survive? + sentences: + - "a plants require water for survival. If no rain or watering, the plant dies.\ + \ \n Outdoor plants require rain to survive." + - (Vegan) soups are nutritious. In addition to them being easy to digest, most the + time, soups are made from nutrient-dense ingredients like herbs, spices, vegetables, + and beans. Because the soup is full of those nutrients AND that it's easy to digest, + your body is able to absorb more of those nutrients into your system. + - If you do the math, there are 11,238,513 possible combinations of five white balls + (without order mattering). Multiply that by the 26 possible red balls, and you + get 292,201,338 possible Powerball number combinations. At $2 per ticket, you'd + need $584,402,676 to buy every single combination and guarantee a win. +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: 0.6276409873243156 + name: Pearson Cosine + - type: spearman_cosine + value: 0.6429558638145366 + name: Spearman Cosine + - type: pearson_manhattan + value: 0.6522532291708293 + name: Pearson Manhattan + - type: spearman_manhattan + value: 0.6508304827784037 + name: Spearman Manhattan + - type: pearson_euclidean + value: 0.6433595257550158 + name: Pearson Euclidean + - type: spearman_euclidean + value: 0.6431744817308246 + name: Spearman Euclidean + - type: pearson_dot + value: 0.6255027331931474 + name: Pearson Dot + - type: spearman_dot + value: 0.6409545506582428 + name: Spearman Dot + - type: pearson_max + value: 0.6522532291708293 + name: Pearson Max + - type: spearman_max + value: 0.6508304827784037 + name: Spearman Max + - task: + type: binary-classification + name: Binary Classification + dataset: + name: allNLI dev + type: allNLI-dev + metrics: + - type: cosine_accuracy + value: 0.701171875 + name: Cosine Accuracy + - type: cosine_accuracy_threshold + value: 0.9206767082214355 + name: Cosine Accuracy Threshold + - type: cosine_f1 + value: 0.5411255411255411 + name: Cosine F1 + - type: cosine_f1_threshold + value: 0.8377725481987 + name: Cosine F1 Threshold + - type: cosine_precision + value: 0.43252595155709345 + name: Cosine Precision + - type: cosine_recall + value: 0.7225433526011561 + name: Cosine Recall + - type: cosine_ap + value: 0.513006237897071 + name: Cosine Ap + - type: dot_accuracy + value: 0.69921875 + name: Dot Accuracy + - type: dot_accuracy_threshold + value: 699.6907348632812 + name: Dot Accuracy Threshold + - type: dot_f1 + value: 0.5414847161572053 + name: Dot F1 + - type: dot_f1_threshold + value: 641.1671752929688 + name: Dot F1 Threshold + - type: dot_precision + value: 0.43508771929824563 + name: Dot Precision + - type: dot_recall + value: 0.7167630057803468 + name: Dot Recall + - type: dot_ap + value: 0.5131686680131453 + name: Dot Ap + - type: manhattan_accuracy + value: 0.69921875 + name: Manhattan Accuracy + - type: manhattan_accuracy_threshold + value: 240.844970703125 + name: Manhattan Accuracy Threshold + - type: manhattan_f1 + value: 0.545054945054945 + name: Manhattan F1 + - type: manhattan_f1_threshold + value: 328.6717529296875 + name: Manhattan F1 Threshold + - type: manhattan_precision + value: 0.4397163120567376 + name: Manhattan Precision + - type: manhattan_recall + value: 0.7167630057803468 + name: Manhattan Recall + - type: manhattan_ap + value: 0.5089409558106986 + name: Manhattan Ap + - type: euclidean_accuracy + value: 0.701171875 + name: Euclidean Accuracy + - type: euclidean_accuracy_threshold + value: 11.018213272094727 + name: Euclidean Accuracy Threshold + - type: euclidean_f1 + value: 0.5411255411255411 + name: Euclidean F1 + - type: euclidean_f1_threshold + value: 15.73725700378418 + name: Euclidean F1 Threshold + - type: euclidean_precision + value: 0.43252595155709345 + name: Euclidean Precision + - type: euclidean_recall + value: 0.7225433526011561 + name: Euclidean Recall + - type: euclidean_ap + value: 0.5129168021855273 + name: Euclidean Ap + - type: max_accuracy + value: 0.701171875 + name: Max Accuracy + - type: max_accuracy_threshold + value: 699.6907348632812 + name: Max Accuracy Threshold + - type: max_f1 + value: 0.545054945054945 + name: Max F1 + - type: max_f1_threshold + value: 641.1671752929688 + name: Max F1 Threshold + - type: max_precision + value: 0.4397163120567376 + name: Max Precision + - type: max_recall + value: 0.7225433526011561 + name: Max Recall + - type: max_ap + value: 0.5131686680131453 + name: Max Ap + - task: + type: binary-classification + name: Binary Classification + dataset: + name: Qnli dev + type: Qnli-dev + metrics: + - type: cosine_accuracy + value: 0.66015625 + name: Cosine Accuracy + - type: cosine_accuracy_threshold + value: 0.8450385332107544 + name: Cosine Accuracy Threshold + - type: cosine_f1 + value: 0.6910299003322258 + name: Cosine F1 + - type: cosine_f1_threshold + value: 0.7468088269233704 + name: Cosine F1 Threshold + - type: cosine_precision + value: 0.5683060109289617 + name: Cosine Precision + - type: cosine_recall + value: 0.8813559322033898 + name: Cosine Recall + - type: cosine_ap + value: 0.6877296306406283 + name: Cosine Ap + - type: dot_accuracy + value: 0.654296875 + name: Dot Accuracy + - type: dot_accuracy_threshold + value: 639.7537231445312 + name: Dot Accuracy Threshold + - type: dot_f1 + value: 0.6900000000000001 + name: Dot F1 + - type: dot_f1_threshold + value: 570.31103515625 + name: Dot F1 Threshold + - type: dot_precision + value: 0.5686813186813187 + name: Dot Precision + - type: dot_recall + value: 0.8771186440677966 + name: Dot Recall + - type: dot_ap + value: 0.6842454894163914 + name: Dot Ap + - type: manhattan_accuracy + value: 0.6640625 + name: Manhattan Accuracy + - type: manhattan_accuracy_threshold + value: 329.4808349609375 + name: Manhattan Accuracy Threshold + - type: manhattan_f1 + value: 0.6902356902356903 + name: Manhattan F1 + - type: manhattan_f1_threshold + value: 411.3583679199219 + name: Manhattan F1 Threshold + - type: manhattan_precision + value: 0.5726256983240223 + name: Manhattan Precision + - type: manhattan_recall + value: 0.8686440677966102 + name: Manhattan Recall + - type: manhattan_ap + value: 0.6966692812556274 + name: Manhattan Ap + - type: euclidean_accuracy + value: 0.66015625 + name: Euclidean Accuracy + - type: euclidean_accuracy_threshold + value: 15.3107328414917 + name: Euclidean Accuracy Threshold + - type: euclidean_f1 + value: 0.6909090909090909 + name: Euclidean F1 + - type: euclidean_f1_threshold + value: 19.696701049804688 + name: Euclidean F1 Threshold + - type: euclidean_precision + value: 0.5663956639566395 + name: Euclidean Precision + - type: euclidean_recall + value: 0.885593220338983 + name: Euclidean Recall + - type: euclidean_ap + value: 0.6880049661294799 + name: Euclidean Ap + - type: max_accuracy + value: 0.6640625 + name: Max Accuracy + - type: max_accuracy_threshold + value: 639.7537231445312 + name: Max Accuracy Threshold + - type: max_f1 + value: 0.6910299003322258 + name: Max F1 + - type: max_f1_threshold + value: 570.31103515625 + name: Max F1 Threshold + - type: max_precision + value: 0.5726256983240223 + name: Max Precision + - type: max_recall + value: 0.885593220338983 + name: Max Recall + - type: max_ap + value: 0.6966692812556274 + 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). 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 + + + + +### 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): AdvancedWeightedPooling( + (alpha_dropout_layer): Dropout(p=0.01, inplace=False) + (gate_dropout_layer): Dropout(p=0.05, inplace=False) + (linear_cls_pj): Linear(in_features=768, out_features=768, bias=True) + (linear_cls_Qpj): Linear(in_features=768, out_features=768, bias=True) + (linear_mean_pj): Linear(in_features=768, out_features=768, bias=True) + (linear_attnOut): Linear(in_features=768, out_features=768, bias=True) + (mha): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=768, out_features=768, bias=True) + ) + (layernorm_output): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (layernorm_weightedPooing): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (layernorm_pjCls): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (layernorm_pjMean): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (layernorm_attnOut): LayerNorm((768,), eps=1e-05, elementwise_affine=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-CustomPoolin-toytest2-step1-checkpoints-tmp") +# Run inference +sentences = [ + 'What do outdoor plants require to survive?', + 'a plants require water for survival. If no rain or watering, the plant dies. \n Outdoor plants require rain to survive.', + "(Vegan) soups are nutritious. In addition to them being easy to digest, most the time, soups are made from nutrient-dense ingredients like herbs, spices, vegetables, and beans. Because the soup is full of those nutrients AND that it's easy to digest, your body is able to absorb more of those nutrients into your system.", +] +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 | 0.6276 | +| **spearman_cosine** | **0.643** | +| pearson_manhattan | 0.6523 | +| spearman_manhattan | 0.6508 | +| pearson_euclidean | 0.6434 | +| spearman_euclidean | 0.6432 | +| pearson_dot | 0.6255 | +| spearman_dot | 0.641 | +| pearson_max | 0.6523 | +| spearman_max | 0.6508 | + +#### 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 | 0.7012 | +| cosine_accuracy_threshold | 0.9207 | +| cosine_f1 | 0.5411 | +| cosine_f1_threshold | 0.8378 | +| cosine_precision | 0.4325 | +| cosine_recall | 0.7225 | +| cosine_ap | 0.513 | +| dot_accuracy | 0.6992 | +| dot_accuracy_threshold | 699.6907 | +| dot_f1 | 0.5415 | +| dot_f1_threshold | 641.1672 | +| dot_precision | 0.4351 | +| dot_recall | 0.7168 | +| dot_ap | 0.5132 | +| manhattan_accuracy | 0.6992 | +| manhattan_accuracy_threshold | 240.845 | +| manhattan_f1 | 0.5451 | +| manhattan_f1_threshold | 328.6718 | +| manhattan_precision | 0.4397 | +| manhattan_recall | 0.7168 | +| manhattan_ap | 0.5089 | +| euclidean_accuracy | 0.7012 | +| euclidean_accuracy_threshold | 11.0182 | +| euclidean_f1 | 0.5411 | +| euclidean_f1_threshold | 15.7373 | +| euclidean_precision | 0.4325 | +| euclidean_recall | 0.7225 | +| euclidean_ap | 0.5129 | +| max_accuracy | 0.7012 | +| max_accuracy_threshold | 699.6907 | +| max_f1 | 0.5451 | +| max_f1_threshold | 641.1672 | +| max_precision | 0.4397 | +| max_recall | 0.7225 | +| **max_ap** | **0.5132** | + +#### 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 | 0.6602 | +| cosine_accuracy_threshold | 0.845 | +| cosine_f1 | 0.691 | +| cosine_f1_threshold | 0.7468 | +| cosine_precision | 0.5683 | +| cosine_recall | 0.8814 | +| cosine_ap | 0.6877 | +| dot_accuracy | 0.6543 | +| dot_accuracy_threshold | 639.7537 | +| dot_f1 | 0.69 | +| dot_f1_threshold | 570.311 | +| dot_precision | 0.5687 | +| dot_recall | 0.8771 | +| dot_ap | 0.6842 | +| manhattan_accuracy | 0.6641 | +| manhattan_accuracy_threshold | 329.4808 | +| manhattan_f1 | 0.6902 | +| manhattan_f1_threshold | 411.3584 | +| manhattan_precision | 0.5726 | +| manhattan_recall | 0.8686 | +| manhattan_ap | 0.6967 | +| euclidean_accuracy | 0.6602 | +| euclidean_accuracy_threshold | 15.3107 | +| euclidean_f1 | 0.6909 | +| euclidean_f1_threshold | 19.6967 | +| euclidean_precision | 0.5664 | +| euclidean_recall | 0.8856 | +| euclidean_ap | 0.688 | +| max_accuracy | 0.6641 | +| max_accuracy_threshold | 639.7537 | +| max_f1 | 0.691 | +| max_f1_threshold | 570.311 | +| max_precision | 0.5726 | +| max_recall | 0.8856 | +| **max_ap** | **0.6967** | + + + + + +## Training Details + +### Training Dataset + +#### Unnamed Dataset + + +* Size: 32,500 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 chemical symbol for Silver? | Chemical Elements.com - Silver (Ag) Bentor, Yinon. Chemical Element.com - Silver. . For more information about citing online sources, please visit the MLA's Website . This page was created by Yinon Bentor. Use of this web site is restricted by this site's license agreement . Copyright © 1996-2012 Yinon Bentor. All Rights Reserved. | + | e. in solids the atoms are closely locked in position and can only vibrate, in liquids the atoms and molecules are more loosely connected and can collide with and move past one another, while in gases the atoms or molecules are free to move independently, colliding frequently. | Within a substance, atoms that collide frequently and move independently of one another are most likely in a gas | + | Keanu Neal was born in 1995 . | Keanu Neal ( born July 26 , 1995 ) is an American football safety for the Atlanta Falcons of the National Football League ( NFL ) . | +* Loss: [GISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#gistembedloss) 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 Dataset + +#### Unnamed Dataset + + +* Size: 1,664 evaluation samples +* Columns: sentence1 and sentence2 +* Approximate statistics based on the first 1000 samples: + | | sentence1 | sentence2 | + |:--------|:----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------| + | type | string | string | + | details | | | +* Samples: + | sentence1 | sentence2 | + |:--------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| + | Gene expression is regulated primarily at the what level? | Gene expression is regulated primarily at the transcriptional level. | + | Diffusion Diffusion is a process where atoms or molecules move from areas of high concentration to areas of low concentration. | Diffusion is the process in which a substance naturally moves from an area of higher to lower concentration. | + | In which James Bond film did Sean Connery wear the Bell Rocket Belt (Jet Pack)? | Jet Pack - James Bond Gadgets 125lbs Summary James Bond used the Jetpack in 1965's Thunderball, to escape from gunmen after killing a SPECTRE agent. The Jetpack In the 1965 movie Thunderball, James Bond (Sean Connery) uses Q's Jetpack to escape from two gunmen after killing Jacques Bouvar, SPECTRE Agent No. 6. It was also used in the Thunderball movie posters, being the "Look Up" part of the "Look Up! Look Down! Look Out!" tagline. The Jetpack returned in the 2002 movie Die Another Day, in the Q scene that showcased many other classic gadgets. The Jetpack is a very popular Bond gadget and is a favorite among many fans due to its originality and uniqueness. The Bell Rocket Belt The Jetpack is actually a Bell Rocket Belt, a fully functional rocket pack device. It was designed for use in the army, but was rejected because of its short flying time of 21-22 seconds. Powered by hydrogen peroxide, it could fly about 250m and reach a maximum altitude of 18m, going 55km/h. Despite its impracticality in the real world, the Jetpack made a spectacular debut in Thunderball. Although Sean Connery is seen in the takeoff and landings, the main flight was piloted by Gordon Yeager and Bill Suitor. | +* Loss: [GISTEmbedLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#gistembedloss) 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`: 32 +- `per_device_eval_batch_size`: 256 +- `lr_scheduler_type`: cosine_with_min_lr +- `lr_scheduler_kwargs`: {'num_cycles': 0.5, 'min_lr': 3.3333333333333337e-06} +- `warmup_ratio`: 0.33 +- `save_safetensors`: False +- `fp16`: True +- `push_to_hub`: True +- `hub_model_id`: bobox/DeBERTa3-s-CustomPoolin-toytest2-step1-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`: 32 +- `per_device_eval_batch_size`: 256 +- `per_gpu_train_batch_size`: None +- `per_gpu_eval_batch_size`: None +- `gradient_accumulation_steps`: 1 +- `eval_accumulation_steps`: None +- `torch_empty_cache_steps`: None +- `learning_rate`: 5e-05 +- `weight_decay`: 0.0 +- `adam_beta1`: 0.9 +- `adam_beta2`: 0.999 +- `adam_epsilon`: 1e-08 +- `max_grad_norm`: 1.0 +- `num_train_epochs`: 3 +- `max_steps`: -1 +- `lr_scheduler_type`: cosine_with_min_lr +- `lr_scheduler_kwargs`: {'num_cycles': 0.5, 'min_lr': 3.3333333333333337e-06} +- `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-CustomPoolin-toytest2-step1-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 | Validation Loss | sts-test_spearman_cosine | allNLI-dev_max_ap | Qnli-dev_max_ap | +|:------:|:----:|:-------------:|:---------------:|:------------------------:|:-----------------:|:---------------:| +| 0.0010 | 1 | 18.7427 | - | - | - | - | +| 0.0020 | 2 | 11.6434 | - | - | - | - | +| 0.0030 | 3 | 7.4859 | - | - | - | - | +| 0.0039 | 4 | 7.3779 | - | - | - | - | +| 0.0049 | 5 | 17.5878 | - | - | - | - | +| 0.0059 | 6 | 8.4984 | - | - | - | - | +| 0.0069 | 7 | 8.375 | - | - | - | - | +| 0.0079 | 8 | 7.3241 | - | - | - | - | +| 0.0089 | 9 | 10.3081 | - | - | - | - | +| 0.0098 | 10 | 8.5363 | - | - | - | - | +| 0.0108 | 11 | 17.2241 | - | - | - | - | +| 0.0118 | 12 | 7.575 | - | - | - | - | +| 0.0128 | 13 | 9.1905 | - | - | - | - | +| 0.0138 | 14 | 11.7727 | - | - | - | - | +| 0.0148 | 15 | 9.5827 | - | - | - | - | +| 0.0157 | 16 | 7.4432 | - | - | - | - | +| 0.0167 | 17 | 7.1573 | - | - | - | - | +| 0.0177 | 18 | 19.8016 | - | - | - | - | +| 0.0187 | 19 | 19.5118 | - | - | - | - | +| 0.0197 | 20 | 7.9062 | - | - | - | - | +| 0.0207 | 21 | 8.6791 | - | - | - | - | +| 0.0217 | 22 | 7.7318 | - | - | - | - | +| 0.0226 | 23 | 7.9319 | - | - | - | - | +| 0.0236 | 24 | 7.192 | - | - | - | - | +| 0.0246 | 25 | 15.5799 | - | - | - | - | +| 0.0256 | 26 | 9.7859 | - | - | - | - | +| 0.0266 | 27 | 9.9259 | - | - | - | - | +| 0.0276 | 28 | 6.3076 | - | - | - | - | +| 0.0285 | 29 | 7.4471 | - | - | - | - | +| 0.0295 | 30 | 7.1246 | - | - | - | - | +| 0.0305 | 31 | 6.5505 | - | - | - | - | +| 0.0315 | 32 | 18.5194 | - | - | - | - | +| 0.0325 | 33 | 7.0747 | - | - | - | - | +| 0.0335 | 34 | 14.9456 | - | - | - | - | +| 0.0344 | 35 | 6.608 | - | - | - | - | +| 0.0354 | 36 | 8.4672 | - | - | - | - | +| 0.0364 | 37 | 6.8853 | - | - | - | - | +| 0.0374 | 38 | 13.6063 | - | - | - | - | +| 0.0384 | 39 | 7.2625 | - | - | - | - | +| 0.0394 | 40 | 6.2234 | - | - | - | - | +| 0.0404 | 41 | 14.9675 | - | - | - | - | +| 0.0413 | 42 | 6.6038 | - | - | - | - | +| 0.0423 | 43 | 13.1173 | - | - | - | - | +| 0.0433 | 44 | 16.6992 | - | - | - | - | +| 0.0443 | 45 | 6.4828 | - | - | - | - | +| 0.0453 | 46 | 5.9815 | - | - | - | - | +| 0.0463 | 47 | 6.1738 | - | - | - | - | +| 0.0472 | 48 | 7.134 | - | - | - | - | +| 0.0482 | 49 | 9.3933 | - | - | - | - | +| 0.0492 | 50 | 10.8085 | - | - | - | - | +| 0.0502 | 51 | 11.4172 | - | - | - | - | +| 0.0512 | 52 | 7.3397 | - | - | - | - | +| 0.0522 | 53 | 5.8851 | - | - | - | - | +| 0.0531 | 54 | 6.8105 | - | - | - | - | +| 0.0541 | 55 | 5.3637 | - | - | - | - | +| 0.0551 | 56 | 6.2628 | - | - | - | - | +| 0.0561 | 57 | 6.0039 | - | - | - | - | +| 0.0571 | 58 | 7.5859 | - | - | - | - | +| 0.0581 | 59 | 6.0802 | - | - | - | - | +| 0.0591 | 60 | 5.5822 | - | - | - | - | +| 0.0600 | 61 | 5.8773 | - | - | - | - | +| 0.0610 | 62 | 6.0814 | - | - | - | - | +| 0.0620 | 63 | 5.4483 | - | - | - | - | +| 0.0630 | 64 | 10.2506 | - | - | - | - | +| 0.0640 | 65 | 10.5976 | - | - | - | - | +| 0.0650 | 66 | 6.9942 | - | - | - | - | +| 0.0659 | 67 | 5.4813 | - | - | - | - | +| 0.0669 | 68 | 7.045 | - | - | - | - | +| 0.0679 | 69 | 5.8549 | - | - | - | - | +| 0.0689 | 70 | 8.8514 | - | - | - | - | +| 0.0699 | 71 | 5.2557 | - | - | - | - | +| 0.0709 | 72 | 5.1181 | - | - | - | - | +| 0.0719 | 73 | 5.5331 | - | - | - | - | +| 0.0728 | 74 | 5.5944 | - | - | - | - | +| 0.0738 | 75 | 4.6332 | - | - | - | - | +| 0.0748 | 76 | 4.9532 | - | - | - | - | +| 0.0758 | 77 | 5.055 | - | - | - | - | +| 0.0768 | 78 | 4.5005 | - | - | - | - | +| 0.0778 | 79 | 5.1997 | - | - | - | - | +| 0.0787 | 80 | 5.1479 | - | - | - | - | +| 0.0797 | 81 | 5.1777 | - | - | - | - | +| 0.0807 | 82 | 5.5565 | - | - | - | - | +| 0.0817 | 83 | 4.6999 | - | - | - | - | +| 0.0827 | 84 | 5.0681 | - | - | - | - | +| 0.0837 | 85 | 5.2208 | - | - | - | - | +| 0.0846 | 86 | 4.56 | - | - | - | - | +| 0.0856 | 87 | 4.6793 | - | - | - | - | +| 0.0866 | 88 | 4.4611 | - | - | - | - | +| 0.0876 | 89 | 9.623 | - | - | - | - | +| 0.0886 | 90 | 5.0316 | - | - | - | - | +| 0.0896 | 91 | 4.1771 | - | - | - | - | +| 0.0906 | 92 | 4.9652 | - | - | - | - | +| 0.0915 | 93 | 8.7432 | - | - | - | - | +| 0.0925 | 94 | 4.6234 | - | - | - | - | +| 0.0935 | 95 | 4.4016 | - | - | - | - | +| 0.0945 | 96 | 4.9903 | - | - | - | - | +| 0.0955 | 97 | 4.5606 | - | - | - | - | +| 0.0965 | 98 | 4.9534 | - | - | - | - | +| 0.0974 | 99 | 8.1838 | - | - | - | - | +| 0.0984 | 100 | 4.9736 | - | - | - | - | +| 0.0994 | 101 | 4.4733 | - | - | - | - | +| 0.1004 | 102 | 4.9725 | - | - | - | - | +| 0.1014 | 103 | 4.5861 | - | - | - | - | +| 0.1024 | 104 | 7.7634 | - | - | - | - | +| 0.1033 | 105 | 4.9915 | - | - | - | - | +| 0.1043 | 106 | 5.1391 | - | - | - | - | +| 0.1053 | 107 | 5.0157 | - | - | - | - | +| 0.1063 | 108 | 4.0982 | - | - | - | - | +| 0.1073 | 109 | 4.2178 | - | - | - | - | +| 0.1083 | 110 | 4.6193 | - | - | - | - | +| 0.1093 | 111 | 4.7638 | - | - | - | - | +| 0.1102 | 112 | 4.1207 | - | - | - | - | +| 0.1112 | 113 | 5.2034 | - | - | - | - | +| 0.1122 | 114 | 5.0693 | - | - | - | - | +| 0.1132 | 115 | 4.7895 | - | - | - | - | +| 0.1142 | 116 | 4.9486 | - | - | - | - | +| 0.1152 | 117 | 4.6552 | - | - | - | - | +| 0.1161 | 118 | 4.4555 | - | - | - | - | +| 0.1171 | 119 | 4.8977 | - | - | - | - | +| 0.1181 | 120 | 7.6836 | - | - | - | - | +| 0.1191 | 121 | 4.8106 | - | - | - | - | +| 0.1201 | 122 | 4.9958 | - | - | - | - | +| 0.1211 | 123 | 4.4585 | - | - | - | - | +| 0.1220 | 124 | 7.5559 | - | - | - | - | +| 0.1230 | 125 | 4.2636 | - | - | - | - | +| 0.1240 | 126 | 4.0436 | - | - | - | - | +| 0.125 | 127 | 4.7416 | - | - | - | - | +| 0.1260 | 128 | 4.2215 | - | - | - | - | +| 0.1270 | 129 | 6.3561 | - | - | - | - | +| 0.1280 | 130 | 6.2299 | - | - | - | - | +| 0.1289 | 131 | 4.3492 | - | - | - | - | +| 0.1299 | 132 | 4.0216 | - | - | - | - | +| 0.1309 | 133 | 6.963 | - | - | - | - | +| 0.1319 | 134 | 3.9474 | - | - | - | - | +| 0.1329 | 135 | 4.3437 | - | - | - | - | +| 0.1339 | 136 | 3.6267 | - | - | - | - | +| 0.1348 | 137 | 3.9896 | - | - | - | - | +| 0.1358 | 138 | 4.8156 | - | - | - | - | +| 0.1368 | 139 | 4.9751 | - | - | - | - | +| 0.1378 | 140 | 4.4144 | - | - | - | - | +| 0.1388 | 141 | 4.7213 | - | - | - | - | +| 0.1398 | 142 | 6.6081 | - | - | - | - | +| 0.1407 | 143 | 4.2929 | - | - | - | - | +| 0.1417 | 144 | 4.2537 | - | - | - | - | +| 0.1427 | 145 | 4.0647 | - | - | - | - | +| 0.1437 | 146 | 3.937 | - | - | - | - | +| 0.1447 | 147 | 5.6582 | - | - | - | - | +| 0.1457 | 148 | 4.2648 | - | - | - | - | +| 0.1467 | 149 | 4.4429 | - | - | - | - | +| 0.1476 | 150 | 3.6197 | - | - | - | - | +| 0.1486 | 151 | 3.7953 | - | - | - | - | +| 0.1496 | 152 | 3.8175 | - | - | - | - | +| 0.1506 | 153 | 4.5137 | 3.3210 | 0.1806 | 0.3919 | 0.5750 | +| 0.1516 | 154 | 4.3528 | - | - | - | - | +| 0.1526 | 155 | 3.6573 | - | - | - | - | +| 0.1535 | 156 | 3.5248 | - | - | - | - | +| 0.1545 | 157 | 3.9275 | - | - | - | - | +| 0.1555 | 158 | 7.1868 | - | - | - | - | +| 0.1565 | 159 | 3.6294 | - | - | - | - | +| 0.1575 | 160 | 3.6886 | - | - | - | - | +| 0.1585 | 161 | 3.1873 | - | - | - | - | +| 0.1594 | 162 | 6.1951 | - | - | - | - | +| 0.1604 | 163 | 3.9747 | - | - | - | - | +| 0.1614 | 164 | 7.004 | - | - | - | - | +| 0.1624 | 165 | 4.3221 | - | - | - | - | +| 0.1634 | 166 | 3.5963 | - | - | - | - | +| 0.1644 | 167 | 3.1988 | - | - | - | - | +| 0.1654 | 168 | 3.8236 | - | - | - | - | +| 0.1663 | 169 | 3.5063 | - | - | - | - | +| 0.1673 | 170 | 5.9843 | - | - | - | - | +| 0.1683 | 171 | 5.884 | - | - | - | - | +| 0.1693 | 172 | 4.1317 | - | - | - | - | +| 0.1703 | 173 | 3.9255 | - | - | - | - | +| 0.1713 | 174 | 4.1121 | - | - | - | - | +| 0.1722 | 175 | 3.7748 | - | - | - | - | +| 0.1732 | 176 | 5.1602 | - | - | - | - | +| 0.1742 | 177 | 4.8807 | - | - | - | - | +| 0.1752 | 178 | 3.4643 | - | - | - | - | +| 0.1762 | 179 | 3.4937 | - | - | - | - | +| 0.1772 | 180 | 5.2731 | - | - | - | - | +| 0.1781 | 181 | 4.6416 | - | - | - | - | +| 0.1791 | 182 | 3.5226 | - | - | - | - | +| 0.1801 | 183 | 4.7794 | - | - | - | - | +| 0.1811 | 184 | 3.8504 | - | - | - | - | +| 0.1821 | 185 | 3.5391 | - | - | - | - | +| 0.1831 | 186 | 4.0291 | - | - | - | - | +| 0.1841 | 187 | 3.5606 | - | - | - | - | +| 0.1850 | 188 | 3.8957 | - | - | - | - | +| 0.1860 | 189 | 4.3657 | - | - | - | - | +| 0.1870 | 190 | 5.0173 | - | - | - | - | +| 0.1880 | 191 | 4.3915 | - | - | - | - | +| 0.1890 | 192 | 3.4613 | - | - | - | - | +| 0.1900 | 193 | 3.2005 | - | - | - | - | +| 0.1909 | 194 | 3.3986 | - | - | - | - | +| 0.1919 | 195 | 3.7937 | - | - | - | - | +| 0.1929 | 196 | 3.8981 | - | - | - | - | +| 0.1939 | 197 | 3.7051 | - | - | - | - | +| 0.1949 | 198 | 3.8028 | - | - | - | - | +| 0.1959 | 199 | 3.3294 | - | - | - | - | +| 0.1969 | 200 | 4.1252 | - | - | - | - | +| 0.1978 | 201 | 4.2564 | - | - | - | - | +| 0.1988 | 202 | 3.8258 | - | - | - | - | +| 0.1998 | 203 | 3.1025 | - | - | - | - | +| 0.2008 | 204 | 3.5038 | - | - | - | - | +| 0.2018 | 205 | 3.6021 | - | - | - | - | +| 0.2028 | 206 | 3.7637 | - | - | - | - | +| 0.2037 | 207 | 3.2563 | - | - | - | - | +| 0.2047 | 208 | 3.9323 | - | - | - | - | +| 0.2057 | 209 | 3.489 | - | - | - | - | +| 0.2067 | 210 | 3.6549 | - | - | - | - | +| 0.2077 | 211 | 3.1609 | - | - | - | - | +| 0.2087 | 212 | 3.2467 | - | - | - | - | +| 0.2096 | 213 | 3.4514 | - | - | - | - | +| 0.2106 | 214 | 3.4945 | - | - | - | - | +| 0.2116 | 215 | 3.5932 | - | - | - | - | +| 0.2126 | 216 | 3.2289 | - | - | - | - | +| 0.2136 | 217 | 3.3279 | - | - | - | - | +| 0.2146 | 218 | 3.8141 | - | - | - | - | +| 0.2156 | 219 | 3.1171 | - | - | - | - | +| 0.2165 | 220 | 3.6287 | - | - | - | - | +| 0.2175 | 221 | 3.8517 | - | - | - | - | +| 0.2185 | 222 | 3.3836 | - | - | - | - | +| 0.2195 | 223 | 3.425 | - | - | - | - | +| 0.2205 | 224 | 3.6246 | - | - | - | - | +| 0.2215 | 225 | 3.5682 | - | - | - | - | +| 0.2224 | 226 | 3.3034 | - | - | - | - | +| 0.2234 | 227 | 3.9251 | - | - | - | - | +| 0.2244 | 228 | 3.146 | - | - | - | - | +| 0.2254 | 229 | 3.8859 | - | - | - | - | +| 0.2264 | 230 | 3.2977 | - | - | - | - | +| 0.2274 | 231 | 3.2664 | - | - | - | - | +| 0.2283 | 232 | 3.1275 | - | - | - | - | +| 0.2293 | 233 | 3.2408 | - | - | - | - | +| 0.2303 | 234 | 2.907 | - | - | - | - | +| 0.2313 | 235 | 2.9178 | - | - | - | - | +| 0.2323 | 236 | 3.324 | - | - | - | - | +| 0.2333 | 237 | 2.9172 | - | - | - | - | +| 0.2343 | 238 | 3.4324 | - | - | - | - | +| 0.2352 | 239 | 4.0563 | - | - | - | - | +| 0.2362 | 240 | 2.8736 | - | - | - | - | +| 0.2372 | 241 | 4.7174 | - | - | - | - | +| 0.2382 | 242 | 3.2025 | - | - | - | - | +| 0.2392 | 243 | 2.7835 | - | - | - | - | +| 0.2402 | 244 | 4.3158 | - | - | - | - | +| 0.2411 | 245 | 2.8619 | - | - | - | - | +| 0.2421 | 246 | 2.5156 | - | - | - | - | +| 0.2431 | 247 | 3.2144 | - | - | - | - | +| 0.2441 | 248 | 3.5927 | - | - | - | - | +| 0.2451 | 249 | 2.6059 | - | - | - | - | +| 0.2461 | 250 | 2.9758 | - | - | - | - | +| 0.2470 | 251 | 3.9214 | - | - | - | - | +| 0.2480 | 252 | 3.2892 | - | - | - | - | +| 0.2490 | 253 | 2.9503 | - | - | - | - | +| 0.25 | 254 | 2.5969 | - | - | - | - | +| 0.2510 | 255 | 2.9908 | - | - | - | - | +| 0.2520 | 256 | 2.8995 | - | - | - | - | +| 0.2530 | 257 | 3.124 | - | - | - | - | +| 0.2539 | 258 | 3.1197 | - | - | - | - | +| 0.2549 | 259 | 2.3073 | - | - | - | - | +| 0.2559 | 260 | 2.8441 | - | - | - | - | +| 0.2569 | 261 | 1.9788 | - | - | - | - | +| 0.2579 | 262 | 2.1442 | - | - | - | - | +| 0.2589 | 263 | 4.9015 | - | - | - | - | +| 0.2598 | 264 | 2.7866 | - | - | - | - | +| 0.2608 | 265 | 2.4588 | - | - | - | - | +| 0.2618 | 266 | 2.3909 | - | - | - | - | +| 0.2628 | 267 | 4.7394 | - | - | - | - | +| 0.2638 | 268 | 3.1581 | - | - | - | - | +| 0.2648 | 269 | 3.973 | - | - | - | - | +| 0.2657 | 270 | 4.1565 | - | - | - | - | +| 0.2667 | 271 | 2.5183 | - | - | - | - | +| 0.2677 | 272 | 3.614 | - | - | - | - | +| 0.2687 | 273 | 2.6858 | - | - | - | - | +| 0.2697 | 274 | 3.1182 | - | - | - | - | +| 0.2707 | 275 | 2.9628 | - | - | - | - | +| 0.2717 | 276 | 2.8376 | - | - | - | - | +| 0.2726 | 277 | 2.7858 | - | - | - | - | +| 0.2736 | 278 | 2.1037 | - | - | - | - | +| 0.2746 | 279 | 3.0436 | - | - | - | - | +| 0.2756 | 280 | 3.4125 | - | - | - | - | +| 0.2766 | 281 | 2.5027 | - | - | - | - | +| 0.2776 | 282 | 2.7922 | - | - | - | - | +| 0.2785 | 283 | 2.9762 | - | - | - | - | +| 0.2795 | 284 | 2.6458 | - | - | - | - | +| 0.2805 | 285 | 2.962 | - | - | - | - | +| 0.2815 | 286 | 2.5439 | - | - | - | - | +| 0.2825 | 287 | 2.8437 | - | - | - | - | +| 0.2835 | 288 | 3.2134 | - | - | - | - | +| 0.2844 | 289 | 2.5655 | - | - | - | - | +| 0.2854 | 290 | 2.9465 | - | - | - | - | +| 0.2864 | 291 | 2.4653 | - | - | - | - | +| 0.2874 | 292 | 3.1467 | - | - | - | - | +| 0.2884 | 293 | 2.6551 | - | - | - | - | +| 0.2894 | 294 | 2.5098 | - | - | - | - | +| 0.2904 | 295 | 2.5988 | - | - | - | - | +| 0.2913 | 296 | 3.778 | - | - | - | - | +| 0.2923 | 297 | 2.6257 | - | - | - | - | +| 0.2933 | 298 | 2.5142 | - | - | - | - | +| 0.2943 | 299 | 2.3182 | - | - | - | - | +| 0.2953 | 300 | 3.3505 | - | - | - | - | +| 0.2963 | 301 | 2.9615 | - | - | - | - | +| 0.2972 | 302 | 2.9136 | - | - | - | - | +| 0.2982 | 303 | 2.6192 | - | - | - | - | +| 0.2992 | 304 | 2.3255 | - | - | - | - | +| 0.3002 | 305 | 2.7168 | - | - | - | - | +| 0.3012 | 306 | 2.9137 | 2.4280 | 0.2507 | 0.4103 | 0.5948 | +| 0.3022 | 307 | 2.6681 | - | - | - | - | +| 0.3031 | 308 | 2.7219 | - | - | - | - | +| 0.3041 | 309 | 2.4057 | - | - | - | - | +| 0.3051 | 310 | 2.7402 | - | - | - | - | +| 0.3061 | 311 | 2.5512 | - | - | - | - | +| 0.3071 | 312 | 2.8553 | - | - | - | - | +| 0.3081 | 313 | 2.598 | - | - | - | - | +| 0.3091 | 314 | 2.6186 | - | - | - | - | +| 0.3100 | 315 | 2.3678 | - | - | - | - | +| 0.3110 | 316 | 2.886 | - | - | - | - | +| 0.3120 | 317 | 2.1738 | - | - | - | - | +| 0.3130 | 318 | 2.6619 | - | - | - | - | +| 0.3140 | 319 | 2.1818 | - | - | - | - | +| 0.3150 | 320 | 3.0407 | - | - | - | - | +| 0.3159 | 321 | 2.464 | - | - | - | - | +| 0.3169 | 322 | 2.7415 | - | - | - | - | +| 0.3179 | 323 | 2.7455 | - | - | - | - | +| 0.3189 | 324 | 2.4061 | - | - | - | - | +| 0.3199 | 325 | 2.0491 | - | - | - | - | +| 0.3209 | 326 | 3.3097 | - | - | - | - | +| 0.3219 | 327 | 2.3587 | - | - | - | - | +| 0.3228 | 328 | 1.9493 | - | - | - | - | +| 0.3238 | 329 | 2.5399 | - | - | - | - | +| 0.3248 | 330 | 2.3569 | - | - | - | - | +| 0.3258 | 331 | 1.9024 | - | - | - | - | +| 0.3268 | 332 | 2.3513 | - | - | - | - | +| 0.3278 | 333 | 2.2488 | - | - | - | - | +| 0.3287 | 334 | 1.9141 | - | - | - | - | +| 0.3297 | 335 | 2.7065 | - | - | - | - | +| 0.3307 | 336 | 2.139 | - | - | - | - | +| 0.3317 | 337 | 2.2345 | - | - | - | - | +| 0.3327 | 338 | 2.3612 | - | - | - | - | +| 0.3337 | 339 | 2.1413 | - | - | - | - | +| 0.3346 | 340 | 2.2214 | - | - | - | - | +| 0.3356 | 341 | 2.9006 | - | - | - | - | +| 0.3366 | 342 | 2.417 | - | - | - | - | +| 0.3376 | 343 | 2.2348 | - | - | - | - | +| 0.3386 | 344 | 2.4369 | - | - | - | - | +| 0.3396 | 345 | 2.7623 | - | - | - | - | +| 0.3406 | 346 | 2.6741 | - | - | - | - | +| 0.3415 | 347 | 3.0515 | - | - | - | - | +| 0.3425 | 348 | 2.4952 | - | - | - | - | +| 0.3435 | 349 | 2.1265 | - | - | - | - | +| 0.3445 | 350 | 2.0359 | - | - | - | - | +| 0.3455 | 351 | 3.107 | - | - | - | - | +| 0.3465 | 352 | 2.116 | - | - | - | - | +| 0.3474 | 353 | 2.1996 | - | - | - | - | +| 0.3484 | 354 | 2.9312 | - | - | - | - | +| 0.3494 | 355 | 2.2885 | - | - | - | - | +| 0.3504 | 356 | 3.0302 | - | - | - | - | +| 0.3514 | 357 | 2.2163 | - | - | - | - | +| 0.3524 | 358 | 2.8304 | - | - | - | - | +| 0.3533 | 359 | 2.2715 | - | - | - | - | +| 0.3543 | 360 | 2.3388 | - | - | - | - | +| 0.3553 | 361 | 2.2098 | - | - | - | - | +| 0.3563 | 362 | 2.0911 | - | - | - | - | +| 0.3573 | 363 | 2.3582 | - | - | - | - | +| 0.3583 | 364 | 1.8605 | - | - | - | - | +| 0.3593 | 365 | 2.2252 | - | - | - | - | +| 0.3602 | 366 | 2.2018 | - | - | - | - | +| 0.3612 | 367 | 2.1099 | - | - | - | - | +| 0.3622 | 368 | 2.1323 | - | - | - | - | +| 0.3632 | 369 | 2.4203 | - | - | - | - | +| 0.3642 | 370 | 2.7768 | - | - | - | - | +| 0.3652 | 371 | 2.3359 | - | - | - | - | +| 0.3661 | 372 | 2.3773 | - | - | - | - | +| 0.3671 | 373 | 2.4424 | - | - | - | - | +| 0.3681 | 374 | 1.9478 | - | - | - | - | +| 0.3691 | 375 | 1.6047 | - | - | - | - | +| 0.3701 | 376 | 1.7384 | - | - | - | - | +| 0.3711 | 377 | 2.1147 | - | - | - | - | +| 0.3720 | 378 | 1.8449 | - | - | - | - | +| 0.3730 | 379 | 2.6009 | - | - | - | - | +| 0.3740 | 380 | 2.4051 | - | - | - | - | +| 0.375 | 381 | 2.3035 | - | - | - | - | +| 0.3760 | 382 | 1.8955 | - | - | - | - | +| 0.3770 | 383 | 2.287 | - | - | - | - | +| 0.3780 | 384 | 1.9123 | - | - | - | - | +| 0.3789 | 385 | 1.9369 | - | - | - | - | +| 0.3799 | 386 | 2.1367 | - | - | - | - | +| 0.3809 | 387 | 1.9437 | - | - | - | - | +| 0.3819 | 388 | 2.3873 | - | - | - | - | +| 0.3829 | 389 | 1.7463 | - | - | - | - | +| 0.3839 | 390 | 2.8438 | - | - | - | - | +| 0.3848 | 391 | 2.4875 | - | - | - | - | +| 0.3858 | 392 | 2.0798 | - | - | - | - | +| 0.3868 | 393 | 2.2242 | - | - | - | - | +| 0.3878 | 394 | 1.8714 | - | - | - | - | +| 0.3888 | 395 | 1.5893 | - | - | - | - | +| 0.3898 | 396 | 1.5633 | - | - | - | - | +| 0.3907 | 397 | 1.8645 | - | - | - | - | +| 0.3917 | 398 | 1.8928 | - | - | - | - | +| 0.3927 | 399 | 1.3352 | - | - | - | - | +| 0.3937 | 400 | 3.3052 | - | - | - | - | +| 0.3947 | 401 | 1.6256 | - | - | - | - | +| 0.3957 | 402 | 1.8856 | - | - | - | - | +| 0.3967 | 403 | 1.8355 | - | - | - | - | +| 0.3976 | 404 | 1.8944 | - | - | - | - | +| 0.3986 | 405 | 1.7636 | - | - | - | - | +| 0.3996 | 406 | 2.8097 | - | - | - | - | +| 0.4006 | 407 | 1.9121 | - | - | - | - | +| 0.4016 | 408 | 1.9233 | - | - | - | - | +| 0.4026 | 409 | 1.543 | - | - | - | - | +| 0.4035 | 410 | 1.7207 | - | - | - | - | +| 0.4045 | 411 | 1.6344 | - | - | - | - | +| 0.4055 | 412 | 2.4177 | - | - | - | - | +| 0.4065 | 413 | 2.2995 | - | - | - | - | +| 0.4075 | 414 | 1.7681 | - | - | - | - | +| 0.4085 | 415 | 1.6562 | - | - | - | - | +| 0.4094 | 416 | 1.8896 | - | - | - | - | +| 0.4104 | 417 | 2.0671 | - | - | - | - | +| 0.4114 | 418 | 1.6097 | - | - | - | - | +| 0.4124 | 419 | 2.8126 | - | - | - | - | +| 0.4134 | 420 | 1.7028 | - | - | - | - | +| 0.4144 | 421 | 1.526 | - | - | - | - | +| 0.4154 | 422 | 2.5029 | - | - | - | - | +| 0.4163 | 423 | 1.7668 | - | - | - | - | +| 0.4173 | 424 | 1.9065 | - | - | - | - | +| 0.4183 | 425 | 1.6645 | - | - | - | - | +| 0.4193 | 426 | 1.8075 | - | - | - | - | +| 0.4203 | 427 | 1.872 | - | - | - | - | +| 0.4213 | 428 | 2.0487 | - | - | - | - | +| 0.4222 | 429 | 1.535 | - | - | - | - | +| 0.4232 | 430 | 1.8046 | - | - | - | - | +| 0.4242 | 431 | 2.2561 | - | - | - | - | +| 0.4252 | 432 | 2.0306 | - | - | - | - | +| 0.4262 | 433 | 2.1311 | - | - | - | - | +| 0.4272 | 434 | 2.3013 | - | - | - | - | +| 0.4281 | 435 | 1.6402 | - | - | - | - | +| 0.4291 | 436 | 1.9572 | - | - | - | - | +| 0.4301 | 437 | 1.6364 | - | - | - | - | +| 0.4311 | 438 | 1.446 | - | - | - | - | +| 0.4321 | 439 | 1.6009 | - | - | - | - | +| 0.4331 | 440 | 1.9469 | - | - | - | - | +| 0.4341 | 441 | 2.1951 | - | - | - | - | +| 0.4350 | 442 | 1.675 | - | - | - | - | +| 0.4360 | 443 | 1.4182 | - | - | - | - | +| 0.4370 | 444 | 2.2317 | - | - | - | - | +| 0.4380 | 445 | 2.1076 | - | - | - | - | +| 0.4390 | 446 | 1.6691 | - | - | - | - | +| 0.4400 | 447 | 1.6909 | - | - | - | - | +| 0.4409 | 448 | 3.1056 | - | - | - | - | +| 0.4419 | 449 | 1.4069 | - | - | - | - | +| 0.4429 | 450 | 2.1639 | - | - | - | - | +| 0.4439 | 451 | 1.5531 | - | - | - | - | +| 0.4449 | 452 | 2.1895 | - | - | - | - | +| 0.4459 | 453 | 1.9384 | - | - | - | - | +| 0.4469 | 454 | 1.7761 | - | - | - | - | +| 0.4478 | 455 | 2.8286 | - | - | - | - | +| 0.4488 | 456 | 2.4877 | - | - | - | - | +| 0.4498 | 457 | 1.7636 | - | - | - | - | +| 0.4508 | 458 | 1.1849 | - | - | - | - | +| 0.4518 | 459 | 1.8331 | 1.9854 | 0.3261 | 0.4327 | 0.6511 | +| 0.4528 | 460 | 2.0416 | - | - | - | - | +| 0.4537 | 461 | 2.1907 | - | - | - | - | +| 0.4547 | 462 | 1.7478 | - | - | - | - | +| 0.4557 | 463 | 1.9 | - | - | - | - | +| 0.4567 | 464 | 1.6876 | - | - | - | - | +| 0.4577 | 465 | 2.0035 | - | - | - | - | +| 0.4587 | 466 | 1.4127 | - | - | - | - | +| 0.4596 | 467 | 1.5593 | - | - | - | - | +| 0.4606 | 468 | 1.7 | - | - | - | - | +| 0.4616 | 469 | 1.5157 | - | - | - | - | +| 0.4626 | 470 | 1.6554 | - | - | - | - | +| 0.4636 | 471 | 1.7404 | - | - | - | - | +| 0.4646 | 472 | 2.1432 | - | - | - | - | +| 0.4656 | 473 | 1.7322 | - | - | - | - | +| 0.4665 | 474 | 1.7281 | - | - | - | - | +| 0.4675 | 475 | 1.5107 | - | - | - | - | +| 0.4685 | 476 | 1.779 | - | - | - | - | +| 0.4695 | 477 | 1.325 | - | - | - | - | +| 0.4705 | 478 | 1.073 | - | - | - | - | +| 0.4715 | 479 | 1.864 | - | - | - | - | +| 0.4724 | 480 | 2.3645 | - | - | - | - | +| 0.4734 | 481 | 1.181 | - | - | - | - | +| 0.4744 | 482 | 1.4562 | - | - | - | - | +| 0.4754 | 483 | 1.3105 | - | - | - | - | +| 0.4764 | 484 | 2.8012 | - | - | - | - | +| 0.4774 | 485 | 2.0114 | - | - | - | - | +| 0.4783 | 486 | 1.6307 | - | - | - | - | +| 0.4793 | 487 | 2.7733 | - | - | - | - | +| 0.4803 | 488 | 1.8211 | - | - | - | - | +| 0.4813 | 489 | 1.574 | - | - | - | - | +| 0.4823 | 490 | 1.9713 | - | - | - | - | +| 0.4833 | 491 | 1.2774 | - | - | - | - | +| 0.4843 | 492 | 2.58 | - | - | - | - | +| 0.4852 | 493 | 2.0594 | - | - | - | - | +| 0.4862 | 494 | 1.5857 | - | - | - | - | +| 0.4872 | 495 | 2.0028 | - | - | - | - | +| 0.4882 | 496 | 1.8863 | - | - | - | - | +| 0.4892 | 497 | 1.5171 | - | - | - | - | +| 0.4902 | 498 | 1.9355 | - | - | - | - | +| 0.4911 | 499 | 2.0675 | - | - | - | - | +| 0.4921 | 500 | 1.6017 | - | - | - | - | +| 0.4931 | 501 | 1.4089 | - | - | - | - | +| 0.4941 | 502 | 1.3836 | - | - | - | - | +| 0.4951 | 503 | 1.6033 | - | - | - | - | +| 0.4961 | 504 | 1.0891 | - | - | - | - | +| 0.4970 | 505 | 1.7119 | - | - | - | - | +| 0.4980 | 506 | 1.3685 | - | - | - | - | +| 0.4990 | 507 | 1.4252 | - | - | - | - | +| 0.5 | 508 | 1.5538 | - | - | - | - | +| 0.5010 | 509 | 1.7513 | - | - | - | - | +| 0.5020 | 510 | 1.1831 | - | - | - | - | +| 0.5030 | 511 | 1.7767 | - | - | - | - | +| 0.5039 | 512 | 1.4324 | - | - | - | - | +| 0.5049 | 513 | 2.1672 | - | - | - | - | +| 0.5059 | 514 | 1.6348 | - | - | - | - | +| 0.5069 | 515 | 1.7285 | - | - | - | - | +| 0.5079 | 516 | 2.0186 | - | - | - | - | +| 0.5089 | 517 | 1.382 | - | - | - | - | +| 0.5098 | 518 | 1.4509 | - | - | - | - | +| 0.5108 | 519 | 1.1043 | - | - | - | - | +| 0.5118 | 520 | 1.3322 | - | - | - | - | +| 0.5128 | 521 | 1.3267 | - | - | - | - | +| 0.5138 | 522 | 1.3639 | - | - | - | - | +| 0.5148 | 523 | 1.203 | - | - | - | - | +| 0.5157 | 524 | 1.8583 | - | - | - | - | +| 0.5167 | 525 | 2.267 | - | - | - | - | +| 0.5177 | 526 | 1.2935 | - | - | - | - | +| 0.5187 | 527 | 1.7431 | - | - | - | - | +| 0.5197 | 528 | 1.8484 | - | - | - | - | +| 0.5207 | 529 | 1.5626 | - | - | - | - | +| 0.5217 | 530 | 2.2645 | - | - | - | - | +| 0.5226 | 531 | 1.4313 | - | - | - | - | +| 0.5236 | 532 | 1.8204 | - | - | - | - | +| 0.5246 | 533 | 1.5659 | - | - | - | - | +| 0.5256 | 534 | 1.2689 | - | - | - | - | +| 0.5266 | 535 | 1.8193 | - | - | - | - | +| 0.5276 | 536 | 2.2902 | - | - | - | - | +| 0.5285 | 537 | 1.6936 | - | - | - | - | +| 0.5295 | 538 | 1.7305 | - | - | - | - | +| 0.5305 | 539 | 1.4449 | - | - | - | - | +| 0.5315 | 540 | 1.5594 | - | - | - | - | +| 0.5325 | 541 | 1.9678 | - | - | - | - | +| 0.5335 | 542 | 2.0327 | - | - | - | - | +| 0.5344 | 543 | 2.0456 | - | - | - | - | +| 0.5354 | 544 | 2.0452 | - | - | - | - | +| 0.5364 | 545 | 1.9435 | - | - | - | - | +| 0.5374 | 546 | 1.8963 | - | - | - | - | +| 0.5384 | 547 | 1.9536 | - | - | - | - | +| 0.5394 | 548 | 1.0665 | - | - | - | - | +| 0.5404 | 549 | 1.8067 | - | - | - | - | +| 0.5413 | 550 | 1.6227 | - | - | - | - | +| 0.5423 | 551 | 1.687 | - | - | - | - | +| 0.5433 | 552 | 1.5937 | - | - | - | - | +| 0.5443 | 553 | 0.9216 | - | - | - | - | +| 0.5453 | 554 | 1.3895 | - | - | - | - | +| 0.5463 | 555 | 1.7863 | - | - | - | - | +| 0.5472 | 556 | 1.2574 | - | - | - | - | +| 0.5482 | 557 | 2.108 | - | - | - | - | +| 0.5492 | 558 | 1.2782 | - | - | - | - | +| 0.5502 | 559 | 1.4959 | - | - | - | - | +| 0.5512 | 560 | 1.9191 | - | - | - | - | +| 0.5522 | 561 | 2.0049 | - | - | - | - | +| 0.5531 | 562 | 1.2511 | - | - | - | - | +| 0.5541 | 563 | 1.3912 | - | - | - | - | +| 0.5551 | 564 | 1.371 | - | - | - | - | +| 0.5561 | 565 | 1.6155 | - | - | - | - | +| 0.5571 | 566 | 1.4625 | - | - | - | - | +| 0.5581 | 567 | 0.86 | - | - | - | - | +| 0.5591 | 568 | 1.5753 | - | - | - | - | +| 0.5600 | 569 | 1.6126 | - | - | - | - | +| 0.5610 | 570 | 1.3171 | - | - | - | - | +| 0.5620 | 571 | 1.9378 | - | - | - | - | +| 0.5630 | 572 | 1.2736 | - | - | - | - | +| 0.5640 | 573 | 1.2368 | - | - | - | - | +| 0.5650 | 574 | 1.1005 | - | - | - | - | +| 0.5659 | 575 | 1.1765 | - | - | - | - | +| 0.5669 | 576 | 1.3557 | - | - | - | - | +| 0.5679 | 577 | 1.3224 | - | - | - | - | +| 0.5689 | 578 | 1.7914 | - | - | - | - | +| 0.5699 | 579 | 1.0633 | - | - | - | - | +| 0.5709 | 580 | 1.3624 | - | - | - | - | +| 0.5719 | 581 | 0.9804 | - | - | - | - | +| 0.5728 | 582 | 1.8246 | - | - | - | - | +| 0.5738 | 583 | 1.1806 | - | - | - | - | +| 0.5748 | 584 | 1.6243 | - | - | - | - | +| 0.5758 | 585 | 1.739 | - | - | - | - | +| 0.5768 | 586 | 1.2502 | - | - | - | - | +| 0.5778 | 587 | 1.6328 | - | - | - | - | +| 0.5787 | 588 | 1.3618 | - | - | - | - | +| 0.5797 | 589 | 1.1535 | - | - | - | - | +| 0.5807 | 590 | 1.2214 | - | - | - | - | +| 0.5817 | 591 | 1.4884 | - | - | - | - | +| 0.5827 | 592 | 1.4029 | - | - | - | - | +| 0.5837 | 593 | 1.0542 | - | - | - | - | +| 0.5846 | 594 | 1.5848 | - | - | - | - | +| 0.5856 | 595 | 1.405 | - | - | - | - | +| 0.5866 | 596 | 1.6281 | - | - | - | - | +| 0.5876 | 597 | 1.5228 | - | - | - | - | +| 0.5886 | 598 | 1.8192 | - | - | - | - | +| 0.5896 | 599 | 1.2403 | - | - | - | - | +| 0.5906 | 600 | 1.9368 | - | - | - | - | +| 0.5915 | 601 | 1.6623 | - | - | - | - | +| 0.5925 | 602 | 1.495 | - | - | - | - | +| 0.5935 | 603 | 1.7079 | - | - | - | - | +| 0.5945 | 604 | 1.0651 | - | - | - | - | +| 0.5955 | 605 | 1.2121 | - | - | - | - | +| 0.5965 | 606 | 1.5385 | - | - | - | - | +| 0.5974 | 607 | 1.1015 | - | - | - | - | +| 0.5984 | 608 | 1.7596 | - | - | - | - | +| 0.5994 | 609 | 1.5597 | - | - | - | - | +| 0.6004 | 610 | 1.3254 | - | - | - | - | +| 0.6014 | 611 | 1.3595 | - | - | - | - | +| 0.6024 | 612 | 1.0326 | 1.6315 | 0.3597 | 0.4478 | 0.6598 | +| 0.6033 | 613 | 1.4822 | - | - | - | - | +| 0.6043 | 614 | 0.9997 | - | - | - | - | +| 0.6053 | 615 | 1.4946 | - | - | - | - | +| 0.6063 | 616 | 1.3491 | - | - | - | - | +| 0.6073 | 617 | 1.2118 | - | - | - | - | +| 0.6083 | 618 | 1.6948 | - | - | - | - | +| 0.6093 | 619 | 2.0457 | - | - | - | - | +| 0.6102 | 620 | 1.2724 | - | - | - | - | +| 0.6112 | 621 | 1.2677 | - | - | - | - | +| 0.6122 | 622 | 1.6639 | - | - | - | - | +| 0.6132 | 623 | 1.139 | - | - | - | - | +| 0.6142 | 624 | 1.2424 | - | - | - | - | +| 0.6152 | 625 | 0.8214 | - | - | - | - | +| 0.6161 | 626 | 1.4398 | - | - | - | - | +| 0.6171 | 627 | 1.6008 | - | - | - | - | +| 0.6181 | 628 | 1.3225 | - | - | - | - | +| 0.6191 | 629 | 1.4452 | - | - | - | - | +| 0.6201 | 630 | 1.7723 | - | - | - | - | +| 0.6211 | 631 | 1.035 | - | - | - | - | +| 0.6220 | 632 | 1.6132 | - | - | - | - | +| 0.6230 | 633 | 1.4167 | - | - | - | - | +| 0.6240 | 634 | 1.1764 | - | - | - | - | +| 0.625 | 635 | 1.0702 | - | - | - | - | +| 0.6260 | 636 | 1.3096 | - | - | - | - | +| 0.6270 | 637 | 1.4174 | - | - | - | - | +| 0.6280 | 638 | 1.8742 | - | - | - | - | +| 0.6289 | 639 | 1.3372 | - | - | - | - | +| 0.6299 | 640 | 1.4453 | - | - | - | - | +| 0.6309 | 641 | 0.6792 | - | - | - | - | +| 0.6319 | 642 | 1.2363 | - | - | - | - | +| 0.6329 | 643 | 1.2037 | - | - | - | - | +| 0.6339 | 644 | 1.105 | - | - | - | - | +| 0.6348 | 645 | 1.8319 | - | - | - | - | +| 0.6358 | 646 | 1.4261 | - | - | - | - | +| 0.6368 | 647 | 1.0431 | - | - | - | - | +| 0.6378 | 648 | 1.2132 | - | - | - | - | +| 0.6388 | 649 | 1.1464 | - | - | - | - | +| 0.6398 | 650 | 1.3076 | - | - | - | - | +| 0.6407 | 651 | 0.9162 | - | - | - | - | +| 0.6417 | 652 | 1.6739 | - | - | - | - | +| 0.6427 | 653 | 1.3627 | - | - | - | - | +| 0.6437 | 654 | 1.084 | - | - | - | - | +| 0.6447 | 655 | 0.8349 | - | - | - | - | +| 0.6457 | 656 | 1.5575 | - | - | - | - | +| 0.6467 | 657 | 0.7503 | - | - | - | - | +| 0.6476 | 658 | 1.5593 | - | - | - | - | +| 0.6486 | 659 | 1.1788 | - | - | - | - | +| 0.6496 | 660 | 1.5119 | - | - | - | - | +| 0.6506 | 661 | 1.1793 | - | - | - | - | +| 0.6516 | 662 | 1.1577 | - | - | - | - | +| 0.6526 | 663 | 1.4391 | - | - | - | - | +| 0.6535 | 664 | 1.2291 | - | - | - | - | +| 0.6545 | 665 | 1.3118 | - | - | - | - | +| 0.6555 | 666 | 1.1358 | - | - | - | - | +| 0.6565 | 667 | 1.814 | - | - | - | - | +| 0.6575 | 668 | 1.038 | - | - | - | - | +| 0.6585 | 669 | 1.2344 | - | - | - | - | +| 0.6594 | 670 | 1.1064 | - | - | - | - | +| 0.6604 | 671 | 1.8745 | - | - | - | - | +| 0.6614 | 672 | 1.8775 | - | - | - | - | +| 0.6624 | 673 | 1.2582 | - | - | - | - | +| 0.6634 | 674 | 1.3454 | - | - | - | - | +| 0.6644 | 675 | 1.2374 | - | - | - | - | +| 0.6654 | 676 | 0.7227 | - | - | - | - | +| 0.6663 | 677 | 1.2036 | - | - | - | - | +| 0.6673 | 678 | 1.5248 | - | - | - | - | +| 0.6683 | 679 | 1.0584 | - | - | - | - | +| 0.6693 | 680 | 0.7455 | - | - | - | - | +| 0.6703 | 681 | 1.0616 | - | - | - | - | +| 0.6713 | 682 | 1.1377 | - | - | - | - | +| 0.6722 | 683 | 1.7022 | - | - | - | - | +| 0.6732 | 684 | 1.4008 | - | - | - | - | +| 0.6742 | 685 | 1.4894 | - | - | - | - | +| 0.6752 | 686 | 1.5464 | - | - | - | - | +| 0.6762 | 687 | 1.5018 | - | - | - | - | +| 0.6772 | 688 | 1.5803 | - | - | - | - | +| 0.6781 | 689 | 1.5654 | - | - | - | - | +| 0.6791 | 690 | 1.2537 | - | - | - | - | +| 0.6801 | 691 | 1.4901 | - | - | - | - | +| 0.6811 | 692 | 0.9597 | - | - | - | - | +| 0.6821 | 693 | 1.5515 | - | - | - | - | +| 0.6831 | 694 | 1.1314 | - | - | - | - | +| 0.6841 | 695 | 1.2442 | - | - | - | - | +| 0.6850 | 696 | 1.5542 | - | - | - | - | +| 0.6860 | 697 | 0.7617 | - | - | - | - | +| 0.6870 | 698 | 1.4626 | - | - | - | - | +| 0.6880 | 699 | 0.6546 | - | - | - | - | +| 0.6890 | 700 | 1.1726 | - | - | - | - | +| 0.6900 | 701 | 0.7522 | - | - | - | - | +| 0.6909 | 702 | 1.6203 | - | - | - | - | +| 0.6919 | 703 | 1.0822 | - | - | - | - | +| 0.6929 | 704 | 0.9652 | - | - | - | - | +| 0.6939 | 705 | 0.9884 | - | - | - | - | +| 0.6949 | 706 | 1.3876 | - | - | - | - | +| 0.6959 | 707 | 1.1726 | - | - | - | - | +| 0.6969 | 708 | 1.1426 | - | - | - | - | +| 0.6978 | 709 | 1.2303 | - | - | - | - | +| 0.6988 | 710 | 1.3438 | - | - | - | - | +| 0.6998 | 711 | 1.3823 | - | - | - | - | +| 0.7008 | 712 | 1.5166 | - | - | - | - | +| 0.7018 | 713 | 1.4148 | - | - | - | - | +| 0.7028 | 714 | 0.9564 | - | - | - | - | +| 0.7037 | 715 | 1.1031 | - | - | - | - | +| 0.7047 | 716 | 1.6628 | - | - | - | - | +| 0.7057 | 717 | 1.3693 | - | - | - | - | +| 0.7067 | 718 | 1.0247 | - | - | - | - | +| 0.7077 | 719 | 0.7778 | - | - | - | - | +| 0.7087 | 720 | 1.3158 | - | - | - | - | +| 0.7096 | 721 | 1.5329 | - | - | - | - | +| 0.7106 | 722 | 1.2845 | - | - | - | - | +| 0.7116 | 723 | 0.7895 | - | - | - | - | +| 0.7126 | 724 | 0.9098 | - | - | - | - | +| 0.7136 | 725 | 0.7648 | - | - | - | - | +| 0.7146 | 726 | 1.0951 | - | - | - | - | +| 0.7156 | 727 | 1.1351 | - | - | - | - | +| 0.7165 | 728 | 1.0514 | - | - | - | - | +| 0.7175 | 729 | 1.2328 | - | - | - | - | +| 0.7185 | 730 | 1.0664 | - | - | - | - | +| 0.7195 | 731 | 1.1058 | - | - | - | - | +| 0.7205 | 732 | 0.6698 | - | - | - | - | +| 0.7215 | 733 | 1.1438 | - | - | - | - | +| 0.7224 | 734 | 1.0473 | - | - | - | - | +| 0.7234 | 735 | 1.5307 | - | - | - | - | +| 0.7244 | 736 | 1.2537 | - | - | - | - | +| 0.7254 | 737 | 0.7006 | - | - | - | - | +| 0.7264 | 738 | 0.8487 | - | - | - | - | +| 0.7274 | 739 | 1.193 | - | - | - | - | +| 0.7283 | 740 | 0.9711 | - | - | - | - | +| 0.7293 | 741 | 0.5139 | - | - | - | - | +| 0.7303 | 742 | 1.1185 | - | - | - | - | +| 0.7313 | 743 | 0.9982 | - | - | - | - | +| 0.7323 | 744 | 0.7987 | - | - | - | - | +| 0.7333 | 745 | 1.161 | - | - | - | - | +| 0.7343 | 746 | 0.9832 | - | - | - | - | +| 0.7352 | 747 | 1.6041 | - | - | - | - | +| 0.7362 | 748 | 1.1084 | - | - | - | - | +| 0.7372 | 749 | 1.1264 | - | - | - | - | +| 0.7382 | 750 | 0.6759 | - | - | - | - | +| 0.7392 | 751 | 1.5241 | - | - | - | - | +| 0.7402 | 752 | 1.6181 | - | - | - | - | +| 0.7411 | 753 | 1.1862 | - | - | - | - | +| 0.7421 | 754 | 1.0147 | - | - | - | - | +| 0.7431 | 755 | 1.0435 | - | - | - | - | +| 0.7441 | 756 | 0.9175 | - | - | - | - | +| 0.7451 | 757 | 1.5608 | - | - | - | - | +| 0.7461 | 758 | 1.7027 | - | - | - | - | +| 0.7470 | 759 | 0.9282 | - | - | - | - | +| 0.7480 | 760 | 0.8072 | - | - | - | - | +| 0.7490 | 761 | 1.13 | - | - | - | - | +| 0.75 | 762 | 1.153 | - | - | - | - | +| 0.7510 | 763 | 1.7723 | - | - | - | - | +| 0.7520 | 764 | 0.9833 | - | - | - | - | +| 0.7530 | 765 | 1.1766 | 1.3821 | 0.4583 | 0.4713 | 0.6741 | +| 0.7539 | 766 | 1.2351 | - | - | - | - | +| 0.7549 | 767 | 0.9521 | - | - | - | - | +| 0.7559 | 768 | 1.1981 | - | - | - | - | +| 0.7569 | 769 | 0.8031 | - | - | - | - | +| 0.7579 | 770 | 1.2502 | - | - | - | - | +| 0.7589 | 771 | 0.9313 | - | - | - | - | +| 0.7598 | 772 | 0.8738 | - | - | - | - | +| 0.7608 | 773 | 1.0316 | - | - | - | - | +| 0.7618 | 774 | 1.0679 | - | - | - | - | +| 0.7628 | 775 | 1.0308 | - | - | - | - | +| 0.7638 | 776 | 1.0663 | - | - | - | - | +| 0.7648 | 777 | 1.3565 | - | - | - | - | +| 0.7657 | 778 | 0.9103 | - | - | - | - | +| 0.7667 | 779 | 1.477 | - | - | - | - | +| 0.7677 | 780 | 1.2526 | - | - | - | - | +| 0.7687 | 781 | 0.8647 | - | - | - | - | +| 0.7697 | 782 | 0.8498 | - | - | - | - | +| 0.7707 | 783 | 1.5257 | - | - | - | - | +| 0.7717 | 784 | 0.5493 | - | - | - | - | +| 0.7726 | 785 | 1.2321 | - | - | - | - | +| 0.7736 | 786 | 1.4306 | - | - | - | - | +| 0.7746 | 787 | 1.0428 | - | - | - | - | +| 0.7756 | 788 | 1.3553 | - | - | - | - | +| 0.7766 | 789 | 1.1102 | - | - | - | - | +| 0.7776 | 790 | 0.9225 | - | - | - | - | +| 0.7785 | 791 | 1.2585 | - | - | - | - | +| 0.7795 | 792 | 1.1335 | - | - | - | - | +| 0.7805 | 793 | 1.2781 | - | - | - | - | +| 0.7815 | 794 | 1.0265 | - | - | - | - | +| 0.7825 | 795 | 1.1846 | - | - | - | - | +| 0.7835 | 796 | 1.2123 | - | - | - | - | +| 0.7844 | 797 | 1.0861 | - | - | - | - | +| 0.7854 | 798 | 1.1929 | - | - | - | - | +| 0.7864 | 799 | 0.8202 | - | - | - | - | +| 0.7874 | 800 | 1.0745 | - | - | - | - | +| 0.7884 | 801 | 0.9162 | - | - | - | - | +| 0.7894 | 802 | 1.2077 | - | - | - | - | +| 0.7904 | 803 | 1.432 | - | - | - | - | +| 0.7913 | 804 | 0.9384 | - | - | - | - | +| 0.7923 | 805 | 1.4686 | - | - | - | - | +| 0.7933 | 806 | 0.8565 | - | - | - | - | +| 0.7943 | 807 | 1.1208 | - | - | - | - | +| 0.7953 | 808 | 1.006 | - | - | - | - | +| 0.7963 | 809 | 0.71 | - | - | - | - | +| 0.7972 | 810 | 1.0219 | - | - | - | - | +| 0.7982 | 811 | 1.0836 | - | - | - | - | +| 0.7992 | 812 | 1.1318 | - | - | - | - | +| 0.8002 | 813 | 1.5411 | - | - | - | - | +| 0.8012 | 814 | 1.0063 | - | - | - | - | +| 0.8022 | 815 | 1.277 | - | - | - | - | +| 0.8031 | 816 | 1.0547 | - | - | - | - | +| 0.8041 | 817 | 0.7084 | - | - | - | - | +| 0.8051 | 818 | 1.2581 | - | - | - | - | +| 0.8061 | 819 | 0.7857 | - | - | - | - | +| 0.8071 | 820 | 0.7219 | - | - | - | - | +| 0.8081 | 821 | 1.2658 | - | - | - | - | +| 0.8091 | 822 | 1.4563 | - | - | - | - | +| 0.8100 | 823 | 0.9098 | - | - | - | - | +| 0.8110 | 824 | 0.8606 | - | - | - | - | +| 0.8120 | 825 | 1.1116 | - | - | - | - | +| 0.8130 | 826 | 0.952 | - | - | - | - | +| 0.8140 | 827 | 0.6831 | - | - | - | - | +| 0.8150 | 828 | 0.8267 | - | - | - | - | +| 0.8159 | 829 | 0.934 | - | - | - | - | +| 0.8169 | 830 | 1.7555 | - | - | - | - | +| 0.8179 | 831 | 1.0109 | - | - | - | - | +| 0.8189 | 832 | 1.4509 | - | - | - | - | +| 0.8199 | 833 | 0.6548 | - | - | - | - | +| 0.8209 | 834 | 0.7777 | - | - | - | - | +| 0.8219 | 835 | 0.8929 | - | - | - | - | +| 0.8228 | 836 | 1.282 | - | - | - | - | +| 0.8238 | 837 | 0.6726 | - | - | - | - | +| 0.8248 | 838 | 1.0643 | - | - | - | - | +| 0.8258 | 839 | 1.01 | - | - | - | - | +| 0.8268 | 840 | 1.0631 | - | - | - | - | +| 0.8278 | 841 | 1.092 | - | - | - | - | +| 0.8287 | 842 | 1.0219 | - | - | - | - | +| 0.8297 | 843 | 1.0437 | - | - | - | - | +| 0.8307 | 844 | 0.8789 | - | - | - | - | +| 0.8317 | 845 | 1.5409 | - | - | - | - | +| 0.8327 | 846 | 1.365 | - | - | - | - | +| 0.8337 | 847 | 1.0567 | - | - | - | - | +| 0.8346 | 848 | 0.59 | - | - | - | - | +| 0.8356 | 849 | 0.839 | - | - | - | - | +| 0.8366 | 850 | 0.727 | - | - | - | - | +| 0.8376 | 851 | 0.8681 | - | - | - | - | +| 0.8386 | 852 | 1.5186 | - | - | - | - | +| 0.8396 | 853 | 0.8923 | - | - | - | - | +| 0.8406 | 854 | 0.8248 | - | - | - | - | +| 0.8415 | 855 | 0.9884 | - | - | - | - | +| 0.8425 | 856 | 1.257 | - | - | - | - | +| 0.8435 | 857 | 0.8841 | - | - | - | - | +| 0.8445 | 858 | 1.232 | - | - | - | - | +| 0.8455 | 859 | 1.2214 | - | - | - | - | +| 0.8465 | 860 | 1.3332 | - | - | - | - | +| 0.8474 | 861 | 0.8272 | - | - | - | - | +| 0.8484 | 862 | 1.0901 | - | - | - | - | +| 0.8494 | 863 | 1.2892 | - | - | - | - | +| 0.8504 | 864 | 0.8817 | - | - | - | - | +| 0.8514 | 865 | 0.944 | - | - | - | - | +| 0.8524 | 866 | 0.6212 | - | - | - | - | +| 0.8533 | 867 | 1.4346 | - | - | - | - | +| 0.8543 | 868 | 0.7204 | - | - | - | - | +| 0.8553 | 869 | 1.4009 | - | - | - | - | +| 0.8563 | 870 | 1.1522 | - | - | - | - | +| 0.8573 | 871 | 0.9558 | - | - | - | - | +| 0.8583 | 872 | 0.8871 | - | - | - | - | +| 0.8593 | 873 | 1.0025 | - | - | - | - | +| 0.8602 | 874 | 0.8617 | - | - | - | - | +| 0.8612 | 875 | 1.1982 | - | - | - | - | +| 0.8622 | 876 | 1.2484 | - | - | - | - | +| 0.8632 | 877 | 1.0181 | - | - | - | - | +| 0.8642 | 878 | 0.8535 | - | - | - | - | +| 0.8652 | 879 | 1.144 | - | - | - | - | +| 0.8661 | 880 | 1.1927 | - | - | - | - | +| 0.8671 | 881 | 0.7245 | - | - | - | - | +| 0.8681 | 882 | 1.0118 | - | - | - | - | +| 0.8691 | 883 | 1.4399 | - | - | - | - | +| 0.8701 | 884 | 1.0666 | - | - | - | - | +| 0.8711 | 885 | 1.1947 | - | - | - | - | +| 0.8720 | 886 | 0.8908 | - | - | - | - | +| 0.8730 | 887 | 1.394 | - | - | - | - | +| 0.8740 | 888 | 0.802 | - | - | - | - | +| 0.875 | 889 | 0.9879 | - | - | - | - | +| 0.8760 | 890 | 0.9895 | - | - | - | - | +| 0.8770 | 891 | 1.0927 | - | - | - | - | +| 0.8780 | 892 | 1.4376 | - | - | - | - | +| 0.8789 | 893 | 1.1509 | - | - | - | - | +| 0.8799 | 894 | 0.7944 | - | - | - | - | +| 0.8809 | 895 | 1.4574 | - | - | - | - | +| 0.8819 | 896 | 1.2278 | - | - | - | - | +| 0.8829 | 897 | 1.1974 | - | - | - | - | +| 0.8839 | 898 | 1.0711 | - | - | - | - | +| 0.8848 | 899 | 1.3942 | - | - | - | - | +| 0.8858 | 900 | 1.1718 | - | - | - | - | +| 0.8868 | 901 | 1.1274 | - | - | - | - | +| 0.8878 | 902 | 0.9954 | - | - | - | - | +| 0.8888 | 903 | 1.0155 | - | - | - | - | +| 0.8898 | 904 | 1.4032 | - | - | - | - | +| 0.8907 | 905 | 1.4135 | - | - | - | - | +| 0.8917 | 906 | 1.1893 | - | - | - | - | +| 0.8927 | 907 | 0.7243 | - | - | - | - | +| 0.8937 | 908 | 1.1674 | - | - | - | - | +| 0.8947 | 909 | 1.3777 | - | - | - | - | +| 0.8957 | 910 | 1.0281 | - | - | - | - | +| 0.8967 | 911 | 1.2869 | - | - | - | - | +| 0.8976 | 912 | 1.0125 | - | - | - | - | +| 0.8986 | 913 | 1.0047 | - | - | - | - | +| 0.8996 | 914 | 0.8839 | - | - | - | - | +| 0.9006 | 915 | 1.4279 | - | - | - | - | +| 0.9016 | 916 | 1.053 | - | - | - | - | +| 0.9026 | 917 | 0.7841 | - | - | - | - | +| 0.9035 | 918 | 0.7738 | 1.2464 | 0.5249 | 0.4860 | 0.6758 | +| 0.9045 | 919 | 0.8998 | - | - | - | - | +| 0.9055 | 920 | 1.7733 | - | - | - | - | +| 0.9065 | 921 | 0.8032 | - | - | - | - | +| 0.9075 | 922 | 0.6311 | - | - | - | - | +| 0.9085 | 923 | 0.9534 | - | - | - | - | +| 0.9094 | 924 | 1.2538 | - | - | - | - | +| 0.9104 | 925 | 0.5411 | - | - | - | - | +| 0.9114 | 926 | 0.797 | - | - | - | - | +| 0.9124 | 927 | 1.2115 | - | - | - | - | +| 0.9134 | 928 | 0.8412 | - | - | - | - | +| 0.9144 | 929 | 0.7325 | - | - | - | - | +| 0.9154 | 930 | 1.6631 | - | - | - | - | +| 0.9163 | 931 | 0.8573 | - | - | - | - | +| 0.9173 | 932 | 0.8194 | - | - | - | - | +| 0.9183 | 933 | 1.1627 | - | - | - | - | +| 0.9193 | 934 | 1.3729 | - | - | - | - | +| 0.9203 | 935 | 1.0679 | - | - | - | - | +| 0.9213 | 936 | 1.2123 | - | - | - | - | +| 0.9222 | 937 | 0.9217 | - | - | - | - | +| 0.9232 | 938 | 0.6959 | - | - | - | - | +| 0.9242 | 939 | 0.9306 | - | - | - | - | +| 0.9252 | 940 | 1.2815 | - | - | - | - | +| 0.9262 | 941 | 1.1188 | - | - | - | - | +| 0.9272 | 942 | 0.8454 | - | - | - | - | +| 0.9281 | 943 | 0.7369 | - | - | - | - | +| 0.9291 | 944 | 1.2244 | - | - | - | - | +| 0.9301 | 945 | 1.1402 | - | - | - | - | +| 0.9311 | 946 | 0.4213 | - | - | - | - | +| 0.9321 | 947 | 1.0047 | - | - | - | - | +| 0.9331 | 948 | 1.1353 | - | - | - | - | +| 0.9341 | 949 | 1.2862 | - | - | - | - | +| 0.9350 | 950 | 0.6358 | - | - | - | - | +| 0.9360 | 951 | 0.676 | - | - | - | - | +| 0.9370 | 952 | 1.1628 | - | - | - | - | +| 0.9380 | 953 | 0.861 | - | - | - | - | +| 0.9390 | 954 | 0.7121 | - | - | - | - | +| 0.9400 | 955 | 0.6625 | - | - | - | - | +| 0.9409 | 956 | 0.9343 | - | - | - | - | +| 0.9419 | 957 | 0.8103 | - | - | - | - | +| 0.9429 | 958 | 1.047 | - | - | - | - | +| 0.9439 | 959 | 0.6455 | - | - | - | - | +| 0.9449 | 960 | 1.0978 | - | - | - | - | +| 0.9459 | 961 | 0.9522 | - | - | - | - | +| 0.9469 | 962 | 0.9151 | - | - | - | - | +| 0.9478 | 963 | 1.2515 | - | - | - | - | +| 0.9488 | 964 | 1.0809 | - | - | - | - | +| 0.9498 | 965 | 0.6971 | - | - | - | - | +| 0.9508 | 966 | 1.4086 | - | - | - | - | +| 0.9518 | 967 | 1.3102 | - | - | - | - | +| 0.9528 | 968 | 1.5008 | - | - | - | - | +| 0.9537 | 969 | 0.9449 | - | - | - | - | +| 0.9547 | 970 | 1.0705 | - | - | - | - | +| 0.9557 | 971 | 0.7788 | - | - | - | - | +| 0.9567 | 972 | 1.0007 | - | - | - | - | +| 0.9577 | 973 | 0.9345 | - | - | - | - | +| 0.9587 | 974 | 1.4525 | - | - | - | - | +| 0.9596 | 975 | 0.5892 | - | - | - | - | +| 0.9606 | 976 | 0.927 | - | - | - | - | +| 0.9616 | 977 | 0.7473 | - | - | - | - | +| 0.9626 | 978 | 0.8173 | - | - | - | - | +| 0.9636 | 979 | 0.6888 | - | - | - | - | +| 0.9646 | 980 | 0.8059 | - | - | - | - | +| 0.9656 | 981 | 0.9087 | - | - | - | - | +| 0.9665 | 982 | 1.5197 | - | - | - | - | +| 0.9675 | 983 | 0.6625 | - | - | - | - | +| 0.9685 | 984 | 1.0372 | - | - | - | - | +| 0.9695 | 985 | 0.91 | - | - | - | - | +| 0.9705 | 986 | 0.7797 | - | - | - | - | +| 0.9715 | 987 | 0.838 | - | - | - | - | +| 0.9724 | 988 | 0.9568 | - | - | - | - | +| 0.9734 | 989 | 1.4704 | - | - | - | - | +| 0.9744 | 990 | 0.8209 | - | - | - | - | +| 0.9754 | 991 | 0.86 | - | - | - | - | +| 0.9764 | 992 | 0.7749 | - | - | - | - | +| 0.9774 | 993 | 0.7225 | - | - | - | - | +| 0.9783 | 994 | 0.8488 | - | - | - | - | +| 0.9793 | 995 | 1.4838 | - | - | - | - | +| 0.9803 | 996 | 1.3282 | - | - | - | - | +| 0.9813 | 997 | 0.9905 | - | - | - | - | +| 0.9823 | 998 | 1.7902 | - | - | - | - | +| 0.9833 | 999 | 0.7411 | - | - | - | - | +| 0.9843 | 1000 | 1.2985 | - | - | - | - | +| 0.9852 | 1001 | 0.9858 | - | - | - | - | +| 0.9862 | 1002 | 0.8951 | - | - | - | - | +| 0.9872 | 1003 | 0.5526 | - | - | - | - | +| 0.9882 | 1004 | 1.466 | - | - | - | - | +| 0.9892 | 1005 | 0.5767 | - | - | - | - | +| 0.9902 | 1006 | 0.8946 | - | - | - | - | +| 0.9911 | 1007 | 1.0825 | - | - | - | - | +| 0.9921 | 1008 | 1.0152 | - | - | - | - | +| 0.9931 | 1009 | 0.7586 | - | - | - | - | +| 0.9941 | 1010 | 1.3353 | - | - | - | - | +| 0.9951 | 1011 | 0.9555 | - | - | - | - | +| 0.9961 | 1012 | 1.0585 | - | - | - | - | +| 0.9970 | 1013 | 0.6774 | - | - | - | - | +| 0.9980 | 1014 | 1.5326 | - | - | - | - | +| 0.9990 | 1015 | 1.0034 | - | - | - | - | +| 1.0 | 1016 | 0.8925 | - | - | - | - | +| 1.0010 | 1017 | 1.1286 | - | - | - | - | +| 1.0020 | 1018 | 0.9836 | - | - | - | - | +| 1.0030 | 1019 | 0.6727 | - | - | - | - | +| 1.0039 | 1020 | 0.8101 | - | - | - | - | +| 1.0049 | 1021 | 0.7747 | - | - | - | - | +| 1.0059 | 1022 | 0.6931 | - | - | - | - | +| 1.0069 | 1023 | 1.2261 | - | - | - | - | +| 1.0079 | 1024 | 0.7315 | - | - | - | - | +| 1.0089 | 1025 | 0.61 | - | - | - | - | +| 1.0098 | 1026 | 0.5402 | - | - | - | - | +| 1.0108 | 1027 | 1.3353 | - | - | - | - | +| 1.0118 | 1028 | 0.9483 | - | - | - | - | +| 1.0128 | 1029 | 0.9226 | - | - | - | - | +| 1.0138 | 1030 | 0.6536 | - | - | - | - | +| 1.0148 | 1031 | 0.7343 | - | - | - | - | +| 1.0157 | 1032 | 0.7647 | - | - | - | - | +| 1.0167 | 1033 | 0.7541 | - | - | - | - | +| 1.0177 | 1034 | 1.1746 | - | - | - | - | +| 1.0187 | 1035 | 1.3935 | - | - | - | - | +| 1.0197 | 1036 | 1.5224 | - | - | - | - | +| 1.0207 | 1037 | 0.9067 | - | - | - | - | +| 1.0217 | 1038 | 0.7184 | - | - | - | - | +| 1.0226 | 1039 | 0.5991 | - | - | - | - | +| 1.0236 | 1040 | 0.8841 | - | - | - | - | +| 1.0246 | 1041 | 0.7474 | - | - | - | - | +| 1.0256 | 1042 | 0.7444 | - | - | - | - | +| 1.0266 | 1043 | 1.4098 | - | - | - | - | +| 1.0276 | 1044 | 0.6033 | - | - | - | - | +| 1.0285 | 1045 | 0.93 | - | - | - | - | +| 1.0295 | 1046 | 0.7308 | - | - | - | - | +| 1.0305 | 1047 | 0.7339 | - | - | - | - | +| 1.0315 | 1048 | 1.3459 | - | - | - | - | +| 1.0325 | 1049 | 0.6866 | - | - | - | - | +| 1.0335 | 1050 | 0.8323 | - | - | - | - | +| 1.0344 | 1051 | 0.5301 | - | - | - | - | +| 1.0354 | 1052 | 1.1091 | - | - | - | - | +| 1.0364 | 1053 | 0.7301 | - | - | - | - | +| 1.0374 | 1054 | 1.1041 | - | - | - | - | +| 1.0384 | 1055 | 0.433 | - | - | - | - | +| 1.0394 | 1056 | 0.8808 | - | - | - | - | +| 1.0404 | 1057 | 0.5836 | - | - | - | - | +| 1.0413 | 1058 | 0.6459 | - | - | - | - | +| 1.0423 | 1059 | 0.4647 | - | - | - | - | +| 1.0433 | 1060 | 1.4988 | - | - | - | - | +| 1.0443 | 1061 | 1.2506 | - | - | - | - | +| 1.0453 | 1062 | 0.5674 | - | - | - | - | +| 1.0463 | 1063 | 0.8192 | - | - | - | - | +| 1.0472 | 1064 | 1.443 | - | - | - | - | +| 1.0482 | 1065 | 0.4771 | - | - | - | - | +| 1.0492 | 1066 | 0.5886 | - | - | - | - | +| 1.0502 | 1067 | 0.9119 | - | - | - | - | +| 1.0512 | 1068 | 0.7875 | - | - | - | - | +| 1.0522 | 1069 | 0.7041 | - | - | - | - | +| 1.0531 | 1070 | 0.5232 | - | - | - | - | +| 1.0541 | 1071 | 0.57 | 1.1571 | 0.5373 | 0.4925 | 0.6962 | +| 1.0551 | 1072 | 0.8948 | - | - | - | - | +| 1.0561 | 1073 | 1.0059 | - | - | - | - | +| 1.0571 | 1074 | 0.9796 | - | - | - | - | +| 1.0581 | 1075 | 0.9632 | - | - | - | - | +| 1.0591 | 1076 | 1.1254 | - | - | - | - | +| 1.0600 | 1077 | 0.8915 | - | - | - | - | +| 1.0610 | 1078 | 0.5213 | - | - | - | - | +| 1.0620 | 1079 | 0.6755 | - | - | - | - | +| 1.0630 | 1080 | 0.6665 | - | - | - | - | +| 1.0640 | 1081 | 0.729 | - | - | - | - | +| 1.0650 | 1082 | 0.9047 | - | - | - | - | +| 1.0659 | 1083 | 1.0514 | - | - | - | - | +| 1.0669 | 1084 | 1.6729 | - | - | - | - | +| 1.0679 | 1085 | 0.8698 | - | - | - | - | +| 1.0689 | 1086 | 1.1209 | - | - | - | - | +| 1.0699 | 1087 | 0.9425 | - | - | - | - | +| 1.0709 | 1088 | 0.7151 | - | - | - | - | +| 1.0719 | 1089 | 0.7336 | - | - | - | - | +| 1.0728 | 1090 | 1.0971 | - | - | - | - | +| 1.0738 | 1091 | 0.5334 | - | - | - | - | +| 1.0748 | 1092 | 1.0171 | - | - | - | - | +| 1.0758 | 1093 | 1.0153 | - | - | - | - | +| 1.0768 | 1094 | 0.6662 | - | - | - | - | +| 1.0778 | 1095 | 0.5451 | - | - | - | - | +| 1.0787 | 1096 | 0.7743 | - | - | - | - | +| 1.0797 | 1097 | 0.9187 | - | - | - | - | +| 1.0807 | 1098 | 1.1919 | - | - | - | - | +| 1.0817 | 1099 | 0.9405 | - | - | - | - | +| 1.0827 | 1100 | 0.5361 | - | - | - | - | +| 1.0837 | 1101 | 1.233 | - | - | - | - | +| 1.0846 | 1102 | 0.8222 | - | - | - | - | +| 1.0856 | 1103 | 0.906 | - | - | - | - | +| 1.0866 | 1104 | 0.62 | - | - | - | - | +| 1.0876 | 1105 | 0.887 | - | - | - | - | +| 1.0886 | 1106 | 0.6135 | - | - | - | - | +| 1.0896 | 1107 | 0.2279 | - | - | - | - | +| 1.0906 | 1108 | 1.0091 | - | - | - | - | +| 1.0915 | 1109 | 1.2457 | - | - | - | - | +| 1.0925 | 1110 | 0.6233 | - | - | - | - | +| 1.0935 | 1111 | 0.6004 | - | - | - | - | +| 1.0945 | 1112 | 1.0716 | - | - | - | - | +| 1.0955 | 1113 | 0.5854 | - | - | - | - | +| 1.0965 | 1114 | 0.5708 | - | - | - | - | +| 1.0974 | 1115 | 1.0223 | - | - | - | - | +| 1.0984 | 1116 | 0.6434 | - | - | - | - | +| 1.0994 | 1117 | 0.363 | - | - | - | - | +| 1.1004 | 1118 | 1.2779 | - | - | - | - | +| 1.1014 | 1119 | 0.8207 | - | - | - | - | +| 1.1024 | 1120 | 0.6738 | - | - | - | - | +| 1.1033 | 1121 | 1.0475 | - | - | - | - | +| 1.1043 | 1122 | 0.9189 | - | - | - | - | +| 1.1053 | 1123 | 1.0991 | - | - | - | - | +| 1.1063 | 1124 | 0.7348 | - | - | - | - | +| 1.1073 | 1125 | 0.7178 | - | - | - | - | +| 1.1083 | 1126 | 0.893 | - | - | - | - | +| 1.1093 | 1127 | 0.7549 | - | - | - | - | +| 1.1102 | 1128 | 1.4074 | - | - | - | - | +| 1.1112 | 1129 | 0.8321 | - | - | - | - | +| 1.1122 | 1130 | 1.0289 | - | - | - | - | +| 1.1132 | 1131 | 0.8296 | - | - | - | - | +| 1.1142 | 1132 | 0.7587 | - | - | - | - | +| 1.1152 | 1133 | 0.6198 | - | - | - | - | +| 1.1161 | 1134 | 0.7474 | - | - | - | - | +| 1.1171 | 1135 | 0.719 | - | - | - | - | +| 1.1181 | 1136 | 0.517 | - | - | - | - | +| 1.1191 | 1137 | 0.4452 | - | - | - | - | +| 1.1201 | 1138 | 1.1683 | - | - | - | - | +| 1.1211 | 1139 | 0.7705 | - | - | - | - | +| 1.1220 | 1140 | 0.7873 | - | - | - | - | +| 1.1230 | 1141 | 0.7939 | - | - | - | - | +| 1.1240 | 1142 | 0.6513 | - | - | - | - | +| 1.125 | 1143 | 1.4787 | - | - | - | - | +| 1.1260 | 1144 | 0.7314 | - | - | - | - | +| 1.1270 | 1145 | 0.4927 | - | - | - | - | +| 1.1280 | 1146 | 0.9718 | - | - | - | - | +| 1.1289 | 1147 | 0.6738 | - | - | - | - | +| 1.1299 | 1148 | 1.2356 | - | - | - | - | +| 1.1309 | 1149 | 0.902 | - | - | - | - | +| 1.1319 | 1150 | 0.5957 | - | - | - | - | +| 1.1329 | 1151 | 1.1595 | - | - | - | - | +| 1.1339 | 1152 | 0.9146 | - | - | - | - | +| 1.1348 | 1153 | 0.5402 | - | - | - | - | +| 1.1358 | 1154 | 0.6177 | - | - | - | - | +| 1.1368 | 1155 | 0.6705 | - | - | - | - | +| 1.1378 | 1156 | 0.603 | - | - | - | - | +| 1.1388 | 1157 | 0.733 | - | - | - | - | +| 1.1398 | 1158 | 1.1947 | - | - | - | - | +| 1.1407 | 1159 | 0.6454 | - | - | - | - | +| 1.1417 | 1160 | 1.0318 | - | - | - | - | +| 1.1427 | 1161 | 1.0791 | - | - | - | - | +| 1.1437 | 1162 | 0.928 | - | - | - | - | +| 1.1447 | 1163 | 0.5488 | - | - | - | - | +| 1.1457 | 1164 | 0.7937 | - | - | - | - | +| 1.1467 | 1165 | 0.6262 | - | - | - | - | +| 1.1476 | 1166 | 0.6925 | - | - | - | - | +| 1.1486 | 1167 | 0.6949 | - | - | - | - | +| 1.1496 | 1168 | 0.2552 | - | - | - | - | +| 1.1506 | 1169 | 0.7877 | - | - | - | - | +| 1.1516 | 1170 | 0.7581 | - | - | - | - | +| 1.1526 | 1171 | 0.4293 | - | - | - | - | +| 1.1535 | 1172 | 0.3826 | - | - | - | - | +| 1.1545 | 1173 | 0.9302 | - | - | - | - | +| 1.1555 | 1174 | 0.9708 | - | - | - | - | +| 1.1565 | 1175 | 0.4477 | - | - | - | - | +| 1.1575 | 1176 | 0.7183 | - | - | - | - | +| 1.1585 | 1177 | 0.6087 | - | - | - | - | +| 1.1594 | 1178 | 0.8324 | - | - | - | - | +| 1.1604 | 1179 | 0.3906 | - | - | - | - | +| 1.1614 | 1180 | 1.5957 | - | - | - | - | +| 1.1624 | 1181 | 1.2033 | - | - | - | - | +| 1.1634 | 1182 | 0.473 | - | - | - | - | +| 1.1644 | 1183 | 0.6048 | - | - | - | - | +| 1.1654 | 1184 | 0.861 | - | - | - | - | +| 1.1663 | 1185 | 0.9065 | - | - | - | - | +| 1.1673 | 1186 | 0.6253 | - | - | - | - | +| 1.1683 | 1187 | 1.227 | - | - | - | - | +| 1.1693 | 1188 | 0.7943 | - | - | - | - | +| 1.1703 | 1189 | 0.6892 | - | - | - | - | +| 1.1713 | 1190 | 1.0856 | - | - | - | - | +| 1.1722 | 1191 | 0.7547 | - | - | - | - | +| 1.1732 | 1192 | 0.4079 | - | - | - | - | +| 1.1742 | 1193 | 0.6927 | - | - | - | - | +| 1.1752 | 1194 | 1.0321 | - | - | - | - | +| 1.1762 | 1195 | 1.1502 | - | - | - | - | +| 1.1772 | 1196 | 0.9344 | - | - | - | - | +| 1.1781 | 1197 | 1.0466 | - | - | - | - | +| 1.1791 | 1198 | 0.6004 | - | - | - | - | +| 1.1801 | 1199 | 0.7064 | - | - | - | - | +| 1.1811 | 1200 | 0.659 | - | - | - | - | +| 1.1821 | 1201 | 0.6445 | - | - | - | - | +| 1.1831 | 1202 | 1.1254 | - | - | - | - | +| 1.1841 | 1203 | 0.7727 | - | - | - | - | +| 1.1850 | 1204 | 0.8912 | - | - | - | - | +| 1.1860 | 1205 | 1.3996 | - | - | - | - | +| 1.1870 | 1206 | 0.6232 | - | - | - | - | +| 1.1880 | 1207 | 1.2074 | - | - | - | - | +| 1.1890 | 1208 | 0.7199 | - | - | - | - | +| 1.1900 | 1209 | 0.5826 | - | - | - | - | +| 1.1909 | 1210 | 0.7618 | - | - | - | - | +| 1.1919 | 1211 | 1.1995 | - | - | - | - | +| 1.1929 | 1212 | 0.6375 | - | - | - | - | +| 1.1939 | 1213 | 0.5623 | - | - | - | - | +| 1.1949 | 1214 | 0.7756 | - | - | - | - | +| 1.1959 | 1215 | 0.8011 | - | - | - | - | +| 1.1969 | 1216 | 0.4404 | - | - | - | - | +| 1.1978 | 1217 | 0.8401 | - | - | - | - | +| 1.1988 | 1218 | 0.8971 | - | - | - | - | +| 1.1998 | 1219 | 1.0111 | - | - | - | - | +| 1.2008 | 1220 | 0.8536 | - | - | - | - | +| 1.2018 | 1221 | 1.1102 | - | - | - | - | +| 1.2028 | 1222 | 0.581 | - | - | - | - | +| 1.2037 | 1223 | 0.8276 | - | - | - | - | +| 1.2047 | 1224 | 1.1131 | 1.0811 | 0.5897 | 0.4975 | 0.6998 | +| 1.2057 | 1225 | 0.7577 | - | - | - | - | +| 1.2067 | 1226 | 0.7671 | - | - | - | - | +| 1.2077 | 1227 | 1.0486 | - | - | - | - | +| 1.2087 | 1228 | 0.5076 | - | - | - | - | +| 1.2096 | 1229 | 0.7368 | - | - | - | - | +| 1.2106 | 1230 | 0.8573 | - | - | - | - | +| 1.2116 | 1231 | 0.4998 | - | - | - | - | +| 1.2126 | 1232 | 0.9818 | - | - | - | - | +| 1.2136 | 1233 | 0.5621 | - | - | - | - | +| 1.2146 | 1234 | 0.8134 | - | - | - | - | +| 1.2156 | 1235 | 0.7607 | - | - | - | - | +| 1.2165 | 1236 | 1.0499 | - | - | - | - | +| 1.2175 | 1237 | 0.594 | - | - | - | - | +| 1.2185 | 1238 | 0.9004 | - | - | - | - | +| 1.2195 | 1239 | 0.9055 | - | - | - | - | +| 1.2205 | 1240 | 1.2924 | - | - | - | - | +| 1.2215 | 1241 | 0.9998 | - | - | - | - | +| 1.2224 | 1242 | 0.8414 | - | - | - | - | +| 1.2234 | 1243 | 0.8105 | - | - | - | - | +| 1.2244 | 1244 | 0.862 | - | - | - | - | +| 1.2254 | 1245 | 1.1903 | - | - | - | - | +| 1.2264 | 1246 | 0.5475 | - | - | - | - | +| 1.2274 | 1247 | 0.4714 | - | - | - | - | +| 1.2283 | 1248 | 0.582 | - | - | - | - | +| 1.2293 | 1249 | 0.8019 | - | - | - | - | +| 1.2303 | 1250 | 0.46 | - | - | - | - | +| 1.2313 | 1251 | 0.4769 | - | - | - | - | +| 1.2323 | 1252 | 0.727 | - | - | - | - | +| 1.2333 | 1253 | 0.3343 | - | - | - | - | +| 1.2343 | 1254 | 1.0573 | - | - | - | - | +| 1.2352 | 1255 | 0.7796 | - | - | - | - | +| 1.2362 | 1256 | 0.7146 | - | - | - | - | +| 1.2372 | 1257 | 0.6668 | - | - | - | - | +| 1.2382 | 1258 | 0.7252 | - | - | - | - | +| 1.2392 | 1259 | 0.4865 | - | - | - | - | +| 1.2402 | 1260 | 0.479 | - | - | - | - | +| 1.2411 | 1261 | 1.0787 | - | - | - | - | +| 1.2421 | 1262 | 0.619 | - | - | - | - | +| 1.2431 | 1263 | 0.6382 | - | - | - | - | +| 1.2441 | 1264 | 0.333 | - | - | - | - | +| 1.2451 | 1265 | 0.6462 | - | - | - | - | +| 1.2461 | 1266 | 0.8646 | - | - | - | - | +| 1.2470 | 1267 | 1.1484 | - | - | - | - | +| 1.2480 | 1268 | 0.8422 | - | - | - | - | +| 1.2490 | 1269 | 0.7198 | - | - | - | - | +| 1.25 | 1270 | 0.524 | - | - | - | - | +| 1.2510 | 1271 | 0.7523 | - | - | - | - | +| 1.2520 | 1272 | 0.7618 | - | - | - | - | +| 1.2530 | 1273 | 0.9805 | - | - | - | - | +| 1.2539 | 1274 | 0.8194 | - | - | - | - | +| 1.2549 | 1275 | 0.3379 | - | - | - | - | +| 1.2559 | 1276 | 0.925 | - | - | - | - | +| 1.2569 | 1277 | 0.2099 | - | - | - | - | +| 1.2579 | 1278 | 0.4021 | - | - | - | - | +| 1.2589 | 1279 | 1.002 | - | - | - | - | +| 1.2598 | 1280 | 0.5184 | - | - | - | - | +| 1.2608 | 1281 | 0.9787 | - | - | - | - | +| 1.2618 | 1282 | 1.0499 | - | - | - | - | +| 1.2628 | 1283 | 0.7918 | - | - | - | - | +| 1.2638 | 1284 | 0.8564 | - | - | - | - | +| 1.2648 | 1285 | 0.7226 | - | - | - | - | +| 1.2657 | 1286 | 0.7506 | - | - | - | - | +| 1.2667 | 1287 | 0.7241 | - | - | - | - | +| 1.2677 | 1288 | 0.3387 | - | - | - | - | +| 1.2687 | 1289 | 1.0883 | - | - | - | - | +| 1.2697 | 1290 | 1.0991 | - | - | - | - | +| 1.2707 | 1291 | 0.7014 | - | - | - | - | +| 1.2717 | 1292 | 0.4188 | - | - | - | - | +| 1.2726 | 1293 | 0.5075 | - | - | - | - | +| 1.2736 | 1294 | 0.9734 | - | - | - | - | +| 1.2746 | 1295 | 0.9324 | - | - | - | - | +| 1.2756 | 1296 | 0.6765 | - | - | - | - | +| 1.2766 | 1297 | 0.4597 | - | - | - | - | +| 1.2776 | 1298 | 0.8729 | - | - | - | - | +| 1.2785 | 1299 | 0.4972 | - | - | - | - | +| 1.2795 | 1300 | 0.6675 | - | - | - | - | +| 1.2805 | 1301 | 0.7899 | - | - | - | - | +| 1.2815 | 1302 | 0.4958 | - | - | - | - | +| 1.2825 | 1303 | 0.6902 | - | - | - | - | +| 1.2835 | 1304 | 0.9887 | - | - | - | - | +| 1.2844 | 1305 | 0.9335 | - | - | - | - | +| 1.2854 | 1306 | 1.4299 | - | - | - | - | +| 1.2864 | 1307 | 0.7355 | - | - | - | - | +| 1.2874 | 1308 | 0.6879 | - | - | - | - | +| 1.2884 | 1309 | 0.8728 | - | - | - | - | +| 1.2894 | 1310 | 1.3413 | - | - | - | - | +| 1.2904 | 1311 | 0.4279 | - | - | - | - | +| 1.2913 | 1312 | 1.1984 | - | - | - | - | +| 1.2923 | 1313 | 0.5541 | - | - | - | - | +| 1.2933 | 1314 | 0.6735 | - | - | - | - | +| 1.2943 | 1315 | 0.6738 | - | - | - | - | +| 1.2953 | 1316 | 0.9851 | - | - | - | - | +| 1.2963 | 1317 | 0.8041 | - | - | - | - | +| 1.2972 | 1318 | 0.9031 | - | - | - | - | +| 1.2982 | 1319 | 0.7003 | - | - | - | - | +| 1.2992 | 1320 | 0.4731 | - | - | - | - | +| 1.3002 | 1321 | 0.863 | - | - | - | - | +| 1.3012 | 1322 | 1.4337 | - | - | - | - | +| 1.3022 | 1323 | 0.7687 | - | - | - | - | +| 1.3031 | 1324 | 0.5768 | - | - | - | - | +| 1.3041 | 1325 | 0.6752 | - | - | - | - | +| 1.3051 | 1326 | 0.4609 | - | - | - | - | +| 1.3061 | 1327 | 0.5695 | - | - | - | - | +| 1.3071 | 1328 | 1.0559 | - | - | - | - | +| 1.3081 | 1329 | 0.5529 | - | - | - | - | +| 1.3091 | 1330 | 0.8975 | - | - | - | - | +| 1.3100 | 1331 | 0.4789 | - | - | - | - | +| 1.3110 | 1332 | 1.0715 | - | - | - | - | +| 1.3120 | 1333 | 0.6386 | - | - | - | - | +| 1.3130 | 1334 | 0.7176 | - | - | - | - | +| 1.3140 | 1335 | 0.4927 | - | - | - | - | +| 1.3150 | 1336 | 1.1553 | - | - | - | - | +| 1.3159 | 1337 | 1.0901 | - | - | - | - | +| 1.3169 | 1338 | 0.7623 | - | - | - | - | +| 1.3179 | 1339 | 0.5397 | - | - | - | - | +| 1.3189 | 1340 | 0.6808 | - | - | - | - | +| 1.3199 | 1341 | 0.4346 | - | - | - | - | +| 1.3209 | 1342 | 0.8217 | - | - | - | - | +| 1.3219 | 1343 | 0.9094 | - | - | - | - | +| 1.3228 | 1344 | 0.4829 | - | - | - | - | +| 1.3238 | 1345 | 0.706 | - | - | - | - | +| 1.3248 | 1346 | 0.7423 | - | - | - | - | +| 1.3258 | 1347 | 0.864 | - | - | - | - | +| 1.3268 | 1348 | 0.3376 | - | - | - | - | +| 1.3278 | 1349 | 0.6119 | - | - | - | - | +| 1.3287 | 1350 | 0.5668 | - | - | - | - | +| 1.3297 | 1351 | 0.702 | - | - | - | - | +| 1.3307 | 1352 | 0.5933 | - | - | - | - | +| 1.3317 | 1353 | 0.4192 | - | - | - | - | +| 1.3327 | 1354 | 1.047 | - | - | - | - | +| 1.3337 | 1355 | 0.7922 | - | - | - | - | +| 1.3346 | 1356 | 1.0565 | - | - | - | - | +| 1.3356 | 1357 | 0.6672 | - | - | - | - | +| 1.3366 | 1358 | 0.993 | - | - | - | - | +| 1.3376 | 1359 | 0.6533 | - | - | - | - | +| 1.3386 | 1360 | 1.1159 | - | - | - | - | +| 1.3396 | 1361 | 0.6079 | - | - | - | - | +| 1.3406 | 1362 | 0.6253 | - | - | - | - | +| 1.3415 | 1363 | 0.9925 | - | - | - | - | +| 1.3425 | 1364 | 0.4941 | - | - | - | - | +| 1.3435 | 1365 | 0.2237 | - | - | - | - | +| 1.3445 | 1366 | 0.5003 | - | - | - | - | +| 1.3455 | 1367 | 0.8567 | - | - | - | - | +| 1.3465 | 1368 | 0.5952 | - | - | - | - | +| 1.3474 | 1369 | 0.785 | - | - | - | - | +| 1.3484 | 1370 | 1.0094 | - | - | - | - | +| 1.3494 | 1371 | 0.8874 | - | - | - | - | +| 1.3504 | 1372 | 0.7712 | - | - | - | - | +| 1.3514 | 1373 | 0.8822 | - | - | - | - | +| 1.3524 | 1374 | 1.0364 | - | - | - | - | +| 1.3533 | 1375 | 0.5006 | - | - | - | - | +| 1.3543 | 1376 | 1.1828 | - | - | - | - | +| 1.3553 | 1377 | 0.4488 | 1.0092 | 0.6251 | 0.5000 | 0.6859 | +| 1.3563 | 1378 | 0.4031 | - | - | - | - | +| 1.3573 | 1379 | 1.1215 | - | - | - | - | +| 1.3583 | 1380 | 0.685 | - | - | - | - | +| 1.3593 | 1381 | 0.9461 | - | - | - | - | +| 1.3602 | 1382 | 0.6278 | - | - | - | - | +| 1.3612 | 1383 | 0.6777 | - | - | - | - | +| 1.3622 | 1384 | 0.9092 | - | - | - | - | +| 1.3632 | 1385 | 1.107 | - | - | - | - | +| 1.3642 | 1386 | 0.8068 | - | - | - | - | +| 1.3652 | 1387 | 0.7613 | - | - | - | - | +| 1.3661 | 1388 | 0.6967 | - | - | - | - | +| 1.3671 | 1389 | 0.9097 | - | - | - | - | +| 1.3681 | 1390 | 0.8659 | - | - | - | - | +| 1.3691 | 1391 | 0.5029 | - | - | - | - | +| 1.3701 | 1392 | 0.3766 | - | - | - | - | +| 1.3711 | 1393 | 0.7413 | - | - | - | - | +| 1.3720 | 1394 | 0.6002 | - | - | - | - | +| 1.3730 | 1395 | 1.002 | - | - | - | - | +| 1.3740 | 1396 | 0.8959 | - | - | - | - | +| 1.375 | 1397 | 1.0575 | - | - | - | - | +| 1.3760 | 1398 | 0.746 | - | - | - | - | +| 1.3770 | 1399 | 0.9076 | - | - | - | - | +| 1.3780 | 1400 | 0.8383 | - | - | - | - | +| 1.3789 | 1401 | 0.6814 | - | - | - | - | +| 1.3799 | 1402 | 0.5709 | - | - | - | - | +| 1.3809 | 1403 | 0.5641 | - | - | - | - | +| 1.3819 | 1404 | 1.0729 | - | - | - | - | +| 1.3829 | 1405 | 0.3779 | - | - | - | - | +| 1.3839 | 1406 | 1.0705 | - | - | - | - | +| 1.3848 | 1407 | 0.8394 | - | - | - | - | +| 1.3858 | 1408 | 1.0838 | - | - | - | - | +| 1.3868 | 1409 | 1.4442 | - | - | - | - | +| 1.3878 | 1410 | 0.8921 | - | - | - | - | +| 1.3888 | 1411 | 0.3109 | - | - | - | - | +| 1.3898 | 1412 | 0.6138 | - | - | - | - | +| 1.3907 | 1413 | 0.7296 | - | - | - | - | +| 1.3917 | 1414 | 0.6515 | - | - | - | - | +| 1.3927 | 1415 | 0.323 | - | - | - | - | +| 1.3937 | 1416 | 1.2172 | - | - | - | - | +| 1.3947 | 1417 | 0.6128 | - | - | - | - | +| 1.3957 | 1418 | 0.7743 | - | - | - | - | +| 1.3967 | 1419 | 0.5889 | - | - | - | - | +| 1.3976 | 1420 | 0.9509 | - | - | - | - | +| 1.3986 | 1421 | 0.358 | - | - | - | - | +| 1.3996 | 1422 | 0.8089 | - | - | - | - | +| 1.4006 | 1423 | 0.4282 | - | - | - | - | +| 1.4016 | 1424 | 0.7527 | - | - | - | - | +| 1.4026 | 1425 | 0.3626 | - | - | - | - | +| 1.4035 | 1426 | 0.7605 | - | - | - | - | +| 1.4045 | 1427 | 0.8407 | - | - | - | - | +| 1.4055 | 1428 | 0.6551 | - | - | - | - | +| 1.4065 | 1429 | 0.6433 | - | - | - | - | +| 1.4075 | 1430 | 0.6133 | - | - | - | - | +| 1.4085 | 1431 | 0.4582 | - | - | - | - | +| 1.4094 | 1432 | 0.8696 | - | - | - | - | +| 1.4104 | 1433 | 0.6652 | - | - | - | - | +| 1.4114 | 1434 | 0.5286 | - | - | - | - | +| 1.4124 | 1435 | 0.5371 | - | - | - | - | +| 1.4134 | 1436 | 0.5219 | - | - | - | - | +| 1.4144 | 1437 | 0.593 | - | - | - | - | +| 1.4154 | 1438 | 0.8033 | - | - | - | - | +| 1.4163 | 1439 | 0.7256 | - | - | - | - | +| 1.4173 | 1440 | 0.5703 | - | - | - | - | +| 1.4183 | 1441 | 0.8677 | - | - | - | - | +| 1.4193 | 1442 | 0.6869 | - | - | - | - | +| 1.4203 | 1443 | 0.4755 | - | - | - | - | +| 1.4213 | 1444 | 0.7355 | - | - | - | - | +| 1.4222 | 1445 | 0.2593 | - | - | - | - | +| 1.4232 | 1446 | 0.6159 | - | - | - | - | +| 1.4242 | 1447 | 0.6839 | - | - | - | - | +| 1.4252 | 1448 | 0.9492 | - | - | - | - | +| 1.4262 | 1449 | 1.066 | - | - | - | - | +| 1.4272 | 1450 | 0.7793 | - | - | - | - | +| 1.4281 | 1451 | 0.4892 | - | - | - | - | +| 1.4291 | 1452 | 1.1506 | - | - | - | - | +| 1.4301 | 1453 | 0.6908 | - | - | - | - | +| 1.4311 | 1454 | 0.4107 | - | - | - | - | +| 1.4321 | 1455 | 0.7537 | - | - | - | - | +| 1.4331 | 1456 | 1.0748 | - | - | - | - | +| 1.4341 | 1457 | 0.8493 | - | - | - | - | +| 1.4350 | 1458 | 0.5319 | - | - | - | - | +| 1.4360 | 1459 | 0.3999 | - | - | - | - | +| 1.4370 | 1460 | 0.679 | - | - | - | - | +| 1.4380 | 1461 | 1.1676 | - | - | - | - | +| 1.4390 | 1462 | 0.7234 | - | - | - | - | +| 1.4400 | 1463 | 0.5784 | - | - | - | - | +| 1.4409 | 1464 | 0.8432 | - | - | - | - | +| 1.4419 | 1465 | 0.5748 | - | - | - | - | +| 1.4429 | 1466 | 0.7716 | - | - | - | - | +| 1.4439 | 1467 | 0.6102 | - | - | - | - | +| 1.4449 | 1468 | 1.3959 | - | - | - | - | +| 1.4459 | 1469 | 1.1255 | - | - | - | - | +| 1.4469 | 1470 | 0.5782 | - | - | - | - | +| 1.4478 | 1471 | 0.9801 | - | - | - | - | +| 1.4488 | 1472 | 0.446 | - | - | - | - | +| 1.4498 | 1473 | 0.4698 | - | - | - | - | +| 1.4508 | 1474 | 0.1574 | - | - | - | - | +| 1.4518 | 1475 | 0.5371 | - | - | - | - | +| 1.4528 | 1476 | 0.8717 | - | - | - | - | +| 1.4537 | 1477 | 0.6271 | - | - | - | - | +| 1.4547 | 1478 | 0.4344 | - | - | - | - | +| 1.4557 | 1479 | 0.3845 | - | - | - | - | +| 1.4567 | 1480 | 0.7941 | - | - | - | - | +| 1.4577 | 1481 | 0.824 | - | - | - | - | +| 1.4587 | 1482 | 0.439 | - | - | - | - | +| 1.4596 | 1483 | 0.29 | - | - | - | - | +| 1.4606 | 1484 | 0.7063 | - | - | - | - | +| 1.4616 | 1485 | 0.5149 | - | - | - | - | +| 1.4626 | 1486 | 0.6015 | - | - | - | - | +| 1.4636 | 1487 | 0.4672 | - | - | - | - | +| 1.4646 | 1488 | 0.5126 | - | - | - | - | +| 1.4656 | 1489 | 0.5502 | - | - | - | - | +| 1.4665 | 1490 | 0.368 | - | - | - | - | +| 1.4675 | 1491 | 0.8213 | - | - | - | - | +| 1.4685 | 1492 | 0.7298 | - | - | - | - | +| 1.4695 | 1493 | 0.4096 | - | - | - | - | +| 1.4705 | 1494 | 0.483 | - | - | - | - | +| 1.4715 | 1495 | 0.6826 | - | - | - | - | +| 1.4724 | 1496 | 0.7304 | - | - | - | - | +| 1.4734 | 1497 | 0.3569 | - | - | - | - | +| 1.4744 | 1498 | 0.5318 | - | - | - | - | +| 1.4754 | 1499 | 0.2428 | - | - | - | - | +| 1.4764 | 1500 | 1.1592 | - | - | - | - | +| 1.4774 | 1501 | 0.957 | - | - | - | - | +| 1.4783 | 1502 | 0.7483 | - | - | - | - | +| 1.4793 | 1503 | 0.739 | - | - | - | - | +| 1.4803 | 1504 | 0.6278 | - | - | - | - | +| 1.4813 | 1505 | 0.752 | - | - | - | - | +| 1.4823 | 1506 | 0.6608 | - | - | - | - | +| 1.4833 | 1507 | 0.2598 | - | - | - | - | +| 1.4843 | 1508 | 1.664 | - | - | - | - | +| 1.4852 | 1509 | 0.9461 | - | - | - | - | +| 1.4862 | 1510 | 0.3373 | - | - | - | - | +| 1.4872 | 1511 | 0.9237 | - | - | - | - | +| 1.4882 | 1512 | 0.359 | - | - | - | - | +| 1.4892 | 1513 | 0.7701 | - | - | - | - | +| 1.4902 | 1514 | 0.5773 | - | - | - | - | +| 1.4911 | 1515 | 0.8257 | - | - | - | - | +| 1.4921 | 1516 | 0.7083 | - | - | - | - | +| 1.4931 | 1517 | 0.6284 | - | - | - | - | +| 1.4941 | 1518 | 0.6834 | - | - | - | - | +| 1.4951 | 1519 | 0.574 | - | - | - | - | +| 1.4961 | 1520 | 0.3719 | - | - | - | - | +| 1.4970 | 1521 | 0.7524 | - | - | - | - | +| 1.4980 | 1522 | 0.374 | - | - | - | - | +| 1.4990 | 1523 | 0.6744 | - | - | - | - | +| 1.5 | 1524 | 0.4346 | - | - | - | - | +| 1.5010 | 1525 | 0.4382 | - | - | - | - | +| 1.5020 | 1526 | 0.5753 | - | - | - | - | +| 1.5030 | 1527 | 0.981 | - | - | - | - | +| 1.5039 | 1528 | 0.7227 | - | - | - | - | +| 1.5049 | 1529 | 0.8546 | - | - | - | - | +| 1.5059 | 1530 | 0.577 | 0.9739 | 0.6420 | 0.5074 | 0.6956 | +| 1.5069 | 1531 | 0.6163 | - | - | - | - | +| 1.5079 | 1532 | 0.852 | - | - | - | - | +| 1.5089 | 1533 | 0.3445 | - | - | - | - | +| 1.5098 | 1534 | 0.437 | - | - | - | - | +| 1.5108 | 1535 | 0.4558 | - | - | - | - | +| 1.5118 | 1536 | 0.3667 | - | - | - | - | +| 1.5128 | 1537 | 0.1558 | - | - | - | - | +| 1.5138 | 1538 | 0.4603 | - | - | - | - | +| 1.5148 | 1539 | 0.416 | - | - | - | - | +| 1.5157 | 1540 | 0.8853 | - | - | - | - | +| 1.5167 | 1541 | 0.7362 | - | - | - | - | +| 1.5177 | 1542 | 0.569 | - | - | - | - | +| 1.5187 | 1543 | 0.5174 | - | - | - | - | +| 1.5197 | 1544 | 0.797 | - | - | - | - | +| 1.5207 | 1545 | 0.7091 | - | - | - | - | +| 1.5217 | 1546 | 0.512 | - | - | - | - | +| 1.5226 | 1547 | 0.5039 | - | - | - | - | +| 1.5236 | 1548 | 0.9192 | - | - | - | - | +| 1.5246 | 1549 | 1.0385 | - | - | - | - | +| 1.5256 | 1550 | 0.4519 | - | - | - | - | +| 1.5266 | 1551 | 0.8472 | - | - | - | - | +| 1.5276 | 1552 | 0.8557 | - | - | - | - | +| 1.5285 | 1553 | 0.652 | - | - | - | - | +| 1.5295 | 1554 | 0.8557 | - | - | - | - | +| 1.5305 | 1555 | 0.5835 | - | - | - | - | +| 1.5315 | 1556 | 0.5346 | - | - | - | - | +| 1.5325 | 1557 | 0.5621 | - | - | - | - | +| 1.5335 | 1558 | 0.6299 | - | - | - | - | +| 1.5344 | 1559 | 1.0536 | - | - | - | - | +| 1.5354 | 1560 | 0.676 | - | - | - | - | +| 1.5364 | 1561 | 1.15 | - | - | - | - | +| 1.5374 | 1562 | 0.7588 | - | - | - | - | +| 1.5384 | 1563 | 0.8398 | - | - | - | - | +| 1.5394 | 1564 | 0.5209 | - | - | - | - | +| 1.5404 | 1565 | 0.8099 | - | - | - | - | +| 1.5413 | 1566 | 0.6272 | - | - | - | - | +| 1.5423 | 1567 | 0.8252 | - | - | - | - | +| 1.5433 | 1568 | 0.9155 | - | - | - | - | +| 1.5443 | 1569 | 0.2462 | - | - | - | - | +| 1.5453 | 1570 | 0.3308 | - | - | - | - | +| 1.5463 | 1571 | 0.3919 | - | - | - | - | +| 1.5472 | 1572 | 0.5583 | - | - | - | - | +| 1.5482 | 1573 | 0.6686 | - | - | - | - | +| 1.5492 | 1574 | 0.4003 | - | - | - | - | +| 1.5502 | 1575 | 0.7001 | - | - | - | - | +| 1.5512 | 1576 | 0.9504 | - | - | - | - | +| 1.5522 | 1577 | 0.453 | - | - | - | - | +| 1.5531 | 1578 | 0.5156 | - | - | - | - | +| 1.5541 | 1579 | 0.363 | - | - | - | - | +| 1.5551 | 1580 | 0.9124 | - | - | - | - | +| 1.5561 | 1581 | 0.5979 | - | - | - | - | +| 1.5571 | 1582 | 0.7076 | - | - | - | - | +| 1.5581 | 1583 | 0.272 | - | - | - | - | +| 1.5591 | 1584 | 0.7369 | - | - | - | - | +| 1.5600 | 1585 | 0.66 | - | - | - | - | +| 1.5610 | 1586 | 0.4354 | - | - | - | - | +| 1.5620 | 1587 | 0.8265 | - | - | - | - | +| 1.5630 | 1588 | 0.4936 | - | - | - | - | +| 1.5640 | 1589 | 0.4236 | - | - | - | - | +| 1.5650 | 1590 | 0.5496 | - | - | - | - | +| 1.5659 | 1591 | 0.545 | - | - | - | - | +| 1.5669 | 1592 | 0.804 | - | - | - | - | +| 1.5679 | 1593 | 0.6017 | - | - | - | - | +| 1.5689 | 1594 | 0.5229 | - | - | - | - | +| 1.5699 | 1595 | 0.3998 | - | - | - | - | +| 1.5709 | 1596 | 0.6741 | - | - | - | - | +| 1.5719 | 1597 | 0.4781 | - | - | - | - | +| 1.5728 | 1598 | 0.4971 | - | - | - | - | +| 1.5738 | 1599 | 0.6007 | - | - | - | - | +| 1.5748 | 1600 | 0.8647 | - | - | - | - | +| 1.5758 | 1601 | 1.0286 | - | - | - | - | +| 1.5768 | 1602 | 0.4067 | - | - | - | - | +| 1.5778 | 1603 | 0.731 | - | - | - | - | +| 1.5787 | 1604 | 0.2758 | - | - | - | - | +| 1.5797 | 1605 | 0.3977 | - | - | - | - | +| 1.5807 | 1606 | 0.6459 | - | - | - | - | +| 1.5817 | 1607 | 0.9274 | - | - | - | - | +| 1.5827 | 1608 | 0.74 | - | - | - | - | +| 1.5837 | 1609 | 0.3715 | - | - | - | - | +| 1.5846 | 1610 | 0.6587 | - | - | - | - | +| 1.5856 | 1611 | 0.5264 | - | - | - | - | +| 1.5866 | 1612 | 0.8698 | - | - | - | - | +| 1.5876 | 1613 | 0.6965 | - | - | - | - | +| 1.5886 | 1614 | 0.8431 | - | - | - | - | +| 1.5896 | 1615 | 0.5191 | - | - | - | - | +| 1.5906 | 1616 | 1.1508 | - | - | - | - | +| 1.5915 | 1617 | 1.2072 | - | - | - | - | +| 1.5925 | 1618 | 0.5955 | - | - | - | - | +| 1.5935 | 1619 | 0.9112 | - | - | - | - | +| 1.5945 | 1620 | 0.2759 | - | - | - | - | +| 1.5955 | 1621 | 0.3118 | - | - | - | - | +| 1.5965 | 1622 | 1.0573 | - | - | - | - | +| 1.5974 | 1623 | 0.9392 | - | - | - | - | +| 1.5984 | 1624 | 0.6772 | - | - | - | - | +| 1.5994 | 1625 | 0.6695 | - | - | - | - | +| 1.6004 | 1626 | 0.6276 | - | - | - | - | +| 1.6014 | 1627 | 0.527 | - | - | - | - | +| 1.6024 | 1628 | 0.4637 | - | - | - | - | +| 1.6033 | 1629 | 0.4799 | - | - | - | - | +| 1.6043 | 1630 | 0.5972 | - | - | - | - | +| 1.6053 | 1631 | 0.667 | - | - | - | - | +| 1.6063 | 1632 | 0.5926 | - | - | - | - | +| 1.6073 | 1633 | 0.6911 | - | - | - | - | +| 1.6083 | 1634 | 0.8098 | - | - | - | - | +| 1.6093 | 1635 | 0.8524 | - | - | - | - | +| 1.6102 | 1636 | 0.3731 | - | - | - | - | +| 1.6112 | 1637 | 0.6751 | - | - | - | - | +| 1.6122 | 1638 | 0.9858 | - | - | - | - | +| 1.6132 | 1639 | 0.439 | - | - | - | - | +| 1.6142 | 1640 | 0.2996 | - | - | - | - | +| 1.6152 | 1641 | 0.2333 | - | - | - | - | +| 1.6161 | 1642 | 0.4415 | - | - | - | - | +| 1.6171 | 1643 | 0.7798 | - | - | - | - | +| 1.6181 | 1644 | 0.4089 | - | - | - | - | +| 1.6191 | 1645 | 0.9624 | - | - | - | - | +| 1.6201 | 1646 | 0.6725 | - | - | - | - | +| 1.6211 | 1647 | 0.4314 | - | - | - | - | +| 1.6220 | 1648 | 0.9129 | - | - | - | - | +| 1.6230 | 1649 | 0.8468 | - | - | - | - | +| 1.6240 | 1650 | 0.6209 | - | - | - | - | +| 1.625 | 1651 | 0.5043 | - | - | - | - | +| 1.6260 | 1652 | 0.4109 | - | - | - | - | +| 1.6270 | 1653 | 0.7351 | - | - | - | - | +| 1.6280 | 1654 | 0.8728 | - | - | - | - | +| 1.6289 | 1655 | 0.4225 | - | - | - | - | +| 1.6299 | 1656 | 0.8833 | - | - | - | - | +| 1.6309 | 1657 | 0.2562 | - | - | - | - | +| 1.6319 | 1658 | 0.6762 | - | - | - | - | +| 1.6329 | 1659 | 0.2752 | - | - | - | - | +| 1.6339 | 1660 | 0.426 | - | - | - | - | +| 1.6348 | 1661 | 0.95 | - | - | - | - | +| 1.6358 | 1662 | 0.9488 | - | - | - | - | +| 1.6368 | 1663 | 0.3755 | - | - | - | - | +| 1.6378 | 1664 | 0.3523 | - | - | - | - | +| 1.6388 | 1665 | 0.6591 | - | - | - | - | +| 1.6398 | 1666 | 0.5441 | - | - | - | - | +| 1.6407 | 1667 | 0.7484 | - | - | - | - | +| 1.6417 | 1668 | 0.8561 | - | - | - | - | +| 1.6427 | 1669 | 0.4679 | - | - | - | - | +| 1.6437 | 1670 | 0.5952 | - | - | - | - | +| 1.6447 | 1671 | 0.4511 | - | - | - | - | +| 1.6457 | 1672 | 0.7256 | - | - | - | - | +| 1.6467 | 1673 | 0.4359 | - | - | - | - | +| 1.6476 | 1674 | 0.71 | - | - | - | - | +| 1.6486 | 1675 | 0.5335 | - | - | - | - | +| 1.6496 | 1676 | 0.6162 | - | - | - | - | +| 1.6506 | 1677 | 0.4306 | - | - | - | - | +| 1.6516 | 1678 | 0.3156 | - | - | - | - | +| 1.6526 | 1679 | 0.5425 | - | - | - | - | +| 1.6535 | 1680 | 0.5371 | - | - | - | - | +| 1.6545 | 1681 | 0.5377 | - | - | - | - | +| 1.6555 | 1682 | 0.3161 | - | - | - | - | +| 1.6565 | 1683 | 1.1868 | 0.9177 | 0.6430 | 0.5132 | 0.6967 | +| 1.6575 | 1684 | 0.2412 | - | - | - | - | +| 1.6585 | 1685 | 0.3353 | - | - | - | - | +| 1.6594 | 1686 | 0.5455 | - | - | - | - | +| 1.6604 | 1687 | 0.7836 | - | - | - | - | +| 1.6614 | 1688 | 0.8547 | - | - | - | - | +| 1.6624 | 1689 | 0.3242 | - | - | - | - | +| 1.6634 | 1690 | 0.5512 | - | - | - | - | +| 1.6644 | 1691 | 0.3552 | - | - | - | - | +| 1.6654 | 1692 | 0.1621 | - | - | - | - | +| 1.6663 | 1693 | 0.6054 | - | - | - | - | +| 1.6673 | 1694 | 0.8546 | - | - | - | - | +| 1.6683 | 1695 | 0.5073 | - | - | - | - | +| 1.6693 | 1696 | 0.4197 | - | - | - | - | +| 1.6703 | 1697 | 0.5708 | - | - | - | - | +| 1.6713 | 1698 | 0.6482 | - | - | - | - | +| 1.6722 | 1699 | 1.2711 | - | - | - | - | +| 1.6732 | 1700 | 0.6077 | - | - | - | - | +| 1.6742 | 1701 | 0.9495 | - | - | - | - | +| 1.6752 | 1702 | 1.2484 | - | - | - | - | +| 1.6762 | 1703 | 0.9573 | - | - | - | - | +| 1.6772 | 1704 | 0.4614 | - | - | - | - | +| 1.6781 | 1705 | 0.7239 | - | - | - | - | +| 1.6791 | 1706 | 0.5873 | - | - | - | - | +| 1.6801 | 1707 | 0.6671 | - | - | - | - | +| 1.6811 | 1708 | 0.3904 | - | - | - | - | +| 1.6821 | 1709 | 1.0458 | - | - | - | - | +| 1.6831 | 1710 | 0.4296 | - | - | - | - | +| 1.6841 | 1711 | 0.847 | - | - | - | - | +| 1.6850 | 1712 | 0.6004 | - | - | - | - | +| 1.6860 | 1713 | 0.2714 | - | - | - | - | +| 1.6870 | 1714 | 0.5642 | - | - | - | - | +| 1.6880 | 1715 | 0.1839 | - | - | - | - | +| 1.6890 | 1716 | 0.5378 | - | - | - | - | +| 1.6900 | 1717 | 0.4204 | - | - | - | - | +| 1.6909 | 1718 | 0.7513 | - | - | - | - | +| 1.6919 | 1719 | 0.3122 | - | - | - | - | +| 1.6929 | 1720 | 0.4128 | - | - | - | - | +| 1.6939 | 1721 | 0.3942 | - | - | - | - | +| 1.6949 | 1722 | 1.0144 | - | - | - | - | +| 1.6959 | 1723 | 0.3428 | - | - | - | - | +| 1.6969 | 1724 | 0.535 | - | - | - | - | +| 1.6978 | 1725 | 0.4357 | - | - | - | - | +| 1.6988 | 1726 | 0.6145 | - | - | - | - | +| 1.6998 | 1727 | 0.5191 | - | - | - | - | +| 1.7008 | 1728 | 0.9029 | - | - | - | - | +| 1.7018 | 1729 | 0.8404 | - | - | - | - | +| 1.7028 | 1730 | 0.4985 | - | - | - | - | +| 1.7037 | 1731 | 0.5642 | - | - | - | - | +| 1.7047 | 1732 | 0.4307 | - | - | - | - | +| 1.7057 | 1733 | 0.5458 | - | - | - | - | +| 1.7067 | 1734 | 0.6761 | - | - | - | - | +| 1.7077 | 1735 | 0.4366 | - | - | - | - | +| 1.7087 | 1736 | 0.7759 | - | - | - | - | +| 1.7096 | 1737 | 0.6839 | - | - | - | - | +| 1.7106 | 1738 | 0.5315 | - | - | - | - | +| 1.7116 | 1739 | 0.3093 | - | - | - | - | +| 1.7126 | 1740 | 0.3635 | - | - | - | - | +| 1.7136 | 1741 | 0.1818 | - | - | - | - | +| 1.7146 | 1742 | 0.6372 | - | - | - | - | +| 1.7156 | 1743 | 0.5375 | - | - | - | - | +| 1.7165 | 1744 | 0.5094 | - | - | - | - | +| 1.7175 | 1745 | 0.8326 | - | - | - | - | +| 1.7185 | 1746 | 0.2582 | - | - | - | - | +| 1.7195 | 1747 | 0.3566 | - | - | - | - | +| 1.7205 | 1748 | 0.4642 | - | - | - | - | +| 1.7215 | 1749 | 0.5632 | - | - | - | - | +| 1.7224 | 1750 | 0.4932 | - | - | - | - | +| 1.7234 | 1751 | 0.2973 | - | - | - | - | +| 1.7244 | 1752 | 0.4152 | - | - | - | - | +| 1.7254 | 1753 | 0.3536 | - | - | - | - | +| 1.7264 | 1754 | 0.4387 | - | - | - | - | +| 1.7274 | 1755 | 0.8308 | - | - | - | - | +| 1.7283 | 1756 | 0.6075 | - | - | - | - | +| 1.7293 | 1757 | 0.323 | - | - | - | - | +| 1.7303 | 1758 | 0.6818 | - | - | - | - | +| 1.7313 | 1759 | 0.3929 | - | - | - | - | +| 1.7323 | 1760 | 0.4531 | - | - | - | - | +| 1.7333 | 1761 | 0.4499 | - | - | - | - | +| 1.7343 | 1762 | 0.5292 | - | - | - | - | +| 1.7352 | 1763 | 0.57 | - | - | - | - | +| 1.7362 | 1764 | 0.3814 | - | - | - | - | +| 1.7372 | 1765 | 0.5125 | - | - | - | - | +| 1.7382 | 1766 | 0.4302 | - | - | - | - | +| 1.7392 | 1767 | 0.7763 | - | - | - | - | +| 1.7402 | 1768 | 0.6339 | - | - | - | - | +| 1.7411 | 1769 | 0.5771 | - | - | - | - | +| 1.7421 | 1770 | 0.4903 | - | - | - | - | +| 1.7431 | 1771 | 0.3864 | - | - | - | - | +| 1.7441 | 1772 | 0.4726 | - | - | - | - | +| 1.7451 | 1773 | 0.9534 | - | - | - | - | +| 1.7461 | 1774 | 0.886 | - | - | - | - | +| 1.7470 | 1775 | 0.7257 | - | - | - | - | +| 1.7480 | 1776 | 0.4611 | - | - | - | - | +| 1.7490 | 1777 | 0.422 | - | - | - | - | +| 1.75 | 1778 | 0.5538 | - | - | - | - | +| 1.7510 | 1779 | 0.6973 | - | - | - | - | +| 1.7520 | 1780 | 0.5833 | - | - | - | - | +| 1.7530 | 1781 | 0.7693 | - | - | - | - | +| 1.7539 | 1782 | 0.4957 | - | - | - | - | +| 1.7549 | 1783 | 0.3354 | - | - | - | - | +| 1.7559 | 1784 | 0.6255 | - | - | - | - | +| 1.7569 | 1785 | 0.2834 | - | - | - | - | +| 1.7579 | 1786 | 0.4637 | - | - | - | - | +| 1.7589 | 1787 | 0.8133 | - | - | - | - | +| 1.7598 | 1788 | 0.2364 | - | - | - | - | +| 1.7608 | 1789 | 0.8109 | - | - | - | - | +| 1.7618 | 1790 | 0.4795 | - | - | - | - | +| 1.7628 | 1791 | 0.3508 | - | - | - | - | +| 1.7638 | 1792 | 0.5447 | - | - | - | - | +| 1.7648 | 1793 | 0.7391 | - | - | - | - | +| 1.7657 | 1794 | 0.3975 | - | - | - | - | +| 1.7667 | 1795 | 0.7205 | - | - | - | - | +| 1.7677 | 1796 | 0.7735 | - | - | - | - | +| 1.7687 | 1797 | 0.4532 | - | - | - | - | +| 1.7697 | 1798 | 0.331 | - | - | - | - | +| 1.7707 | 1799 | 0.8354 | - | - | - | - | +| 1.7717 | 1800 | 0.0976 | - | - | - | - | +| 1.7726 | 1801 | 0.6051 | - | - | - | - | +| 1.7736 | 1802 | 0.707 | - | - | - | - | +| 1.7746 | 1803 | 0.419 | - | - | - | - | +| 1.7756 | 1804 | 0.9268 | - | - | - | - | +| 1.7766 | 1805 | 0.639 | - | - | - | - | +| 1.7776 | 1806 | 0.427 | - | - | - | - | +| 1.7785 | 1807 | 0.6253 | - | - | - | - | +| 1.7795 | 1808 | 0.6166 | - | - | - | - | +| 1.7805 | 1809 | 0.6593 | - | - | - | - | +| 1.7815 | 1810 | 0.3922 | - | - | - | - | +| 1.7825 | 1811 | 0.7626 | - | - | - | - | +| 1.7835 | 1812 | 0.6866 | - | - | - | - | +| 1.7844 | 1813 | 0.4619 | - | - | - | - | +| 1.7854 | 1814 | 0.8688 | - | - | - | - | +| 1.7864 | 1815 | 0.5084 | - | - | - | - | +| 1.7874 | 1816 | 0.7005 | - | - | - | - | +| 1.7884 | 1817 | 0.2802 | - | - | - | - | +| 1.7894 | 1818 | 0.6338 | - | - | - | - | +| 1.7904 | 1819 | 0.4616 | - | - | - | - | +| 1.7913 | 1820 | 0.1921 | - | - | - | - | +| 1.7923 | 1821 | 0.9873 | - | - | - | - | +| 1.7933 | 1822 | 0.2347 | - | - | - | - | +| 1.7943 | 1823 | 0.4585 | - | - | - | - | +| 1.7953 | 1824 | 0.7981 | - | - | - | - | +| 1.7963 | 1825 | 0.3834 | - | - | - | - | +| 1.7972 | 1826 | 0.3476 | - | - | - | - | +| 1.7982 | 1827 | 0.6374 | - | - | - | - | +| 1.7992 | 1828 | 0.2443 | - | - | - | - | +| 1.8002 | 1829 | 0.8733 | - | - | - | - | +| 1.8012 | 1830 | 0.6572 | - | - | - | - | + +
+ +### Framework Versions +- Python: 3.10.12 +- Sentence Transformers: 3.2.1 +- Transformers: 4.44.2 +- PyTorch: 2.5.0+cu121 +- Accelerate: 0.34.2 +- Datasets: 3.0.2 +- Tokenizers: 0.19.1 + +## Citation + +### BibTeX + +#### Sentence Transformers +```bibtex +@inproceedings{reimers-2019-sentence-bert, + title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks", + author = "Reimers, Nils and Gurevych, Iryna", + booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing", + month = "11", + year = "2019", + publisher = "Association for Computational Linguistics", + url = "https://arxiv.org/abs/1908.10084", +} +``` + +#### GISTEmbedLoss +```bibtex +@misc{solatorio2024gistembed, + title={GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning}, + author={Aivin V. Solatorio}, + year={2024}, + eprint={2402.16829}, + archivePrefix={arXiv}, + primaryClass={cs.LG} +} +``` + + + + + + \ No newline at end of file