diff --git "a/checkpoint-1944/README.md" "b/checkpoint-1944/README.md" new file mode 100644--- /dev/null +++ "b/checkpoint-1944/README.md" @@ -0,0 +1,2845 @@ +--- +tags: +- sentence-transformers +- sentence-similarity +- feature-extraction +- generated_from_trainer +- dataset_size:94156 +- loss:Matryoshka2dLoss +- loss:MatryoshkaLoss +- loss:GISTEmbedLoss +base_model: BAAI/bge-m3 +widget: +- source_sentence: The final section of the Royal Navy's second flagship aircraft + carrier has left BAE System's yard in Glasgow. + sentences: + - 'It is an International Olympic Committee (IOC) Top Partner, paying a reported + $100m for each two-games deal of one winter and one summer Games. + + The new deal covers the 2014 winter Games in Sochi, Russia, and 2016 summer Games + in Rio de Janeiro, Brazil. + + The 2018 winter Games will be held in Pyeongchang, South Korea, and the 2020 summer + venue is yet to be decided. + + The company has been an Olympics sponsor since 1976. + + It is the seventh of the 11 top-tier sponsors to renew its partnership with the + IOC until 2020. + + The others are Coca-Cola, Dow Chemicals, General Electric, Omega, Procter & Gamble + and Visa. + + A further three firms have extended their sponsorship until 2016. + + It is estimated that the IOC has garnered about $1bn in sponsorship revenue in + the current four-year cycle which ends this year 2012. + + London 2012: Latest Olympic news, sport, features and programmes from the BBC + + McDonald''s said the restaurant chain would use the extended partnership to introduce + several new programmes "focused on balanced eating and fun play for children". + + "We are delighted that McDonald''s, our long-time and valued Olympic Partner for + more than 35 years, is continuing its ongoing commitment not only to help fund + the Olympic Games, but also to support the Olympic Movement around the world and + ultimately the athletes themselves," IOC President Jacques Rogge said in a statement.' + - 'The 750-tonne section, known as the Aft Island, will be taken on a 1,335-mile + journey around the south of England and up the east coast to Rosyth. + + Once assembled it will be the control centre for all aircraft operations on the + new HMS Prince of Wales carrier. + + HMS Prince of Wales is the second Queen Elizabeth Class carrier after the 65,000-tonne + HMS Queen Elizabeth. + + They are the largest British warships ever constructed and can be used for a range + of military activity from fighting in conflicts to providing humanitarian aid + and disaster relief. + + The ships have been constructed in blocks at yards across the UK and are being + put together in Rosyth. + + BAE''s project director, Iain Stevenson, described the carrier leaving the River + Clyde as a "proud day" for everyone involved. + + "To see the final section delivered to Rosyth, ahead of schedule and to an incredible + standard of engineering is testament to the dedication, skill and ingenuity of + all those working on the programme." + + Defence Procurement Minister Philip Dunne said: "Our aircraft carriers, the largest + ships ever built in Scotland for the Royal Navy, will help to secure the UK''s + interests both at home and abroad. + + "Our new F-35 Lightning II aircraft will fly from the decks of HMS Queen Elizabeth + in 2018."' + - 'Contractor Bear Scotland said the slip happened at about midday on Sunday at + Butterbridge, close to the Rest and Be Thankful. + + Bear said an emergency diversion using the Old Military Road was not possible + because of where the slip happened. + + Diversions in both directions have been put in place via the A82. + + Bear Scotland said specialist engineers examined the site and found that the slope + remained unstable and a large boulder needed to be removed. + + It is the eighth time in five years that the road has been closed by a landslip. + + The Old Military Road, which runs parallel to the main carriageway through Glen + Croe, was reopened last year as an emergency diversion route to be used if the + A83 was blocked.' +- source_sentence: A video of a pregnant woman doing an impression of April the giraffe + has gone viral, racking up 10m views in little more than 12 hours. + sentences: + - Dirt bikers racing around a corner on the track + - 'A monkey took the image in the Indonesian jungle in 2011 when it picked up a + camera owned by David Slater from Monmouthshire. + + US judges ruled copyright protection could not be applied to the monkey but Peta + said the animal should benefit. + + Appeal judges are yet to make a decision in the latest case. + + Mr Slater, of Chepstow, said he was upset Peta was spending the money it received + from donors on lawyers, after its earlier court claim was rejected. + + But Peta said its action was "consistent with its charitable aims" and it hoped + any money from the photo''s royalties would benefit monkeys. + + Peta''s appeal on behalf of the macaque monkey was heard this week in a San Francisco + court, with an outcome expected in the coming months. + + Mr Slater has argued it took "much time and more perseverance" over several days + to get the selfie and other photos. + + He said he put in a lot of effort which was more than enough for him to claim + copyright. + + The case was listed as "Naruto v David Slater" but the identity of the monkey + is also in dispute, with Peta claiming it is a female called Naruto and Mr Slater + saying it is a different male macaque. + + Mr Slater said he was a conservationist and interest in the image had already + helped animals in Indonesia. + + He said: "This is what upsets me and I hope it upsets a lot of other people who + donate money to Peta." + + Mr Slater said if he lost the case - or wins but is ordered to pay costs - he + would be in serious financial trouble. + + Peta would not comment on how much money it had spent but claimed that by acting + on the macaque''s behalf, it hoped to ensure all potential royalties from the + image go towards protecting monkeys and their habitat. + + The charity claims the monkey had "made the cause-and-effect connection between + pressing the shutter button and the change to his reflection in the camera lens, + resulting in his now-famous selfie photographs". + + It argued it was clear that in these circumstances the copyright was owned by + the monkey "and Peta is proud to be his voice in court".' + - 'The real giraffe became an internet sensation after zookeepers put cameras in + her pen, in New York state, to broadcast the birth to the world. + + Yet, after 10 days and with millions of viewers tuning in, the calf has yet to + appear. + + In a fitting tribute, the woman paces her bedroom, doing not very much. + + The spoof is by a South Carolina-based photographer Erin Dietrich, an expectant + fan in more ways than one. + + "I did not think this many people would get a kick out of this," said Mrs Dietrich. "All + our friends have been making fun of me and my obsession with April so we just + thought ''hey, we should order a giraffe mask''." + + Her video, in which she sits in various positions, waves to the camera and dances + with her giraffe mask on, has already been shared more than 200,000 times. + + Meanwhile, tens of thousands of people at a time are watching the video stream + from Animal Adventure Park in Harpursville, almost 200 miles north-west of New + York. + + A total of around 20 million people have viewed the park''s footage of April the + giraffe so far. + + It has been running since 24 February and there have been no signs of April going + into labour. + + Many welcomed Mrs Dietrich''s video as a distraction from the long wait. + + "I''m gonna need updates on this one now too," wrote one viewer, Melissa Ann Williams + Ramirez. "Who will have their baby first???" + + However, as the parody is taking off online faster than the original story, some + social-medial users are confused. + + "Am I the only one who doesn''t get what she is doing?" asked one.' +- source_sentence: Teignmouth minor injuries unit (MIU) could be closed under plans + by the NHS. + sentences: + - 'Patients would have to travel to Dawlish instead, South Devon Clinical Commissioning + Group (CCG) said. + + The CCG said the move would improve the quality of services at Dawlish, with longer + opening hours and X-ray facilities. + + Richard Younger-Ross, former Liberal Democrat MP for Teignbridge, said the plan + put the future of Teignmouth Hospital at risk but the CCG rejected the claim. + + Mr Younger-Ross said: "The proposals will enhance the MIU at Dawlish but we believe + that Teignmouth needs its own MIU and that its removal may undermine the long-term + future of Teignmouth Hospital." + + Dr Matthew Fox of the CCG said Teignmouth would be take on more long-term care + and rehabilitation of patients. + + "If we don''t combine our two units we will lose them both," he said. + + According to the plans, the new unit would be open from 08:00 to 20:00, instead + of the current 10:00 to 18:00. + + The plans state: "Nurses need to treat enough people each year to maintain their + skills. + + "To be safe, sustainable and cost effective, every minor injury unit in South + Devon and Torbay will in future need to see at least 7,000 people a year." + + In 2013/14 Dawlish saw 4,232 people and Teignmouth 3,285. + + Teignmouth MIU patient Helen Saw said: "If you go in there with a broken wrist + or arm you go straight to Torbay Hospital. + + "Unless you are going there for a bit of tea and sympathy, there''s very little + point in going there."' + - A laptop computer and a desktop computer on a white desk + - 'St Kilda''s, in Brixham, has provided respite, residential and day care since + the 1970s. + + Torbay and South Devon NHS Foundation Trust has decided services will be moved + from the 24-bed home to Brixham Hospital and private care homes. + + The trust said it would take up to nine months to close the home describing it + as being "in a very poor condition". + + One woman, whose mother uses the service but wanted to remain anonymous, said + "it''s all up in the air" and "we do not know where she will be moved". + + "I can''t stress enough, that the service provided at St Kilda''s is essential." + + Before the announcement the trust said the building, which employees 41 members + of staff, was "no longer fit for purpose", and it would work with residents and + families to find alternative accommodation. + + It said previous plans for a new purpose-built centre were conceived "before a + significant reduction in funding for adult social care." + + "The plans did not reflect the trust''s current aspirations to deliver more care + at home and in local communities rather than in hospital beds," the trust said. + + Also at the board meeting at Torbay Hospital, it was announced the trust is facing + an £18m shortfall for the 2016/2017 financial year.' +- source_sentence: Where is the neighborhood of Sunnyside located in Fresno? + sentences: + - Although parts of Sunnyside are within the City of Fresno, much of the neighborhood + is a "county island" within Fresno County. + - Sacramento is located at ( 38.651254 , -121.259279 ) , between Fair Oaks and Folsom + . + - there are three boys +- source_sentence: What area is Newcastle's milder winters and cooler summers most + similar to? + sentences: + - Newcastle was part of the county of Northumberland until 1400, when it became + a county itself, a status it retained until becoming part of Tyne and Wear in + 1974.[not in citation given] + - While Oros worked on Ford 's car and truck designs under Walker , Engel focused + on Lincoln and Mercury vehicles . + - The climate in Newcastle is oceanic (Köppen Cfb) and significantly milder than + some other locations in the world at a similar latitude, due to the warming influence + of the Gulf Stream (via the North Atlantic Drift). +pipeline_tag: sentence-similarity +library_name: sentence-transformers +metrics: +- pearson_cosine +- spearman_cosine +- cosine_accuracy +- cosine_accuracy_threshold +- cosine_f1 +- cosine_f1_threshold +- cosine_precision +- cosine_recall +- cosine_ap +- cosine_mcc +model-index: +- name: SentenceTransformer based on BAAI/bge-m3 + results: + - task: + type: semantic-similarity + name: Semantic Similarity + dataset: + name: sts test + type: sts-test + metrics: + - type: pearson_cosine + value: 0.9062162835110004 + name: Pearson Cosine + - type: spearman_cosine + value: 0.9204680794914208 + name: Spearman Cosine + - task: + type: semantic-similarity + name: Semantic Similarity + dataset: + name: sts test 1024 + type: sts-test-1024 + metrics: + - type: pearson_cosine + value: 0.8841306743942718 + name: Pearson Cosine + - type: spearman_cosine + value: 0.9094778502209384 + name: Spearman Cosine + - task: + type: binary-classification + name: Binary Classification + dataset: + name: Qnli dev + type: Qnli-dev + metrics: + - type: cosine_accuracy + value: 0.75 + name: Cosine Accuracy + - type: cosine_accuracy_threshold + value: 0.6975128650665283 + name: Cosine Accuracy Threshold + - type: cosine_f1 + value: 0.7476635514018692 + name: Cosine F1 + - type: cosine_f1_threshold + value: 0.6258813738822937 + name: Cosine F1 Threshold + - type: cosine_precision + value: 0.6451612903225806 + name: Cosine Precision + - type: cosine_recall + value: 0.8888888888888888 + name: Cosine Recall + - type: cosine_ap + value: 0.7629854627366377 + name: Cosine Ap + - type: cosine_mcc + value: 0.47737827504723207 + name: Cosine Mcc + - task: + type: binary-classification + name: Binary Classification + dataset: + name: Qnli dev 1024 + type: Qnli-dev-1024 + metrics: + - type: cosine_accuracy + value: 0.7604166666666666 + name: Cosine Accuracy + - type: cosine_accuracy_threshold + value: 0.7837380170822144 + name: Cosine Accuracy Threshold + - type: cosine_f1 + value: 0.7358490566037736 + name: Cosine F1 + - type: cosine_f1_threshold + value: 0.7243161797523499 + name: Cosine F1 Threshold + - type: cosine_precision + value: 0.639344262295082 + name: Cosine Precision + - type: cosine_recall + value: 0.8666666666666667 + name: Cosine Recall + - type: cosine_ap + value: 0.7655287400697098 + name: Cosine Ap + - type: cosine_mcc + value: 0.45131025668485714 + name: Cosine Mcc + - task: + type: triplet + name: Triplet + dataset: + name: allNLI triplets + type: allNLI-triplets + metrics: + - type: cosine_accuracy + value: 0.96875 + name: Cosine Accuracy + - task: + type: triplet + name: Triplet + dataset: + name: allNLI triplets 1024 + type: allNLI--triplets-1024 + metrics: + - type: cosine_accuracy + value: 0.9479166865348816 + name: Cosine Accuracy +--- + +# SentenceTransformer based on BAAI/bge-m3 + +This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) on the global_dataset dataset. It maps sentences & paragraphs to a 2048-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:** [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) +- **Maximum Sequence Length:** 512 tokens +- **Output Dimensionality:** 2048 dimensions +- **Similarity Function:** Cosine Similarity +- **Training Dataset:** + - global_dataset + + + +### 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: XLMRobertaModel + (1): AdvancedWeightedPooling( + (mha): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) + ) + (MLP): Sequential( + (0): SwiGLUBlock( + (in_proj_w): Linear(in_features=1024, out_features=2048, bias=True) + (in_proj_v): Linear(in_features=1024, out_features=2048, bias=True) + (dropout): Dropout(p=0.05, inplace=False) + ) + (1): SwiGLUBlock( + (in_proj_w): Linear(in_features=2048, out_features=1024, bias=True) + (in_proj_v): Linear(in_features=2048, out_features=1024, bias=True) + (dropout): Dropout(p=0.025, inplace=False) + ) + (2): Linear(in_features=1024, out_features=1024, bias=True) + ) + (layernorm): LayerNorm((2048,), 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/XLMRoBERTaM3-CustomPoolin-v1.06-1024conc1024-MLP-s1-adaptivelayersReg-checkpoints-tmp") +# Run inference +sentences = [ + "What area is Newcastle's milder winters and cooler summers most similar to?", + 'The climate in Newcastle is oceanic (Köppen Cfb) and significantly milder than some other locations in the world at a similar latitude, due to the warming influence of the Gulf Stream (via the North Atlantic Drift).', + 'Newcastle was part of the county of Northumberland until 1400, when it became a county itself, a status it retained until becoming part of Tyne and Wear in 1974.[not in citation given]', +] +embeddings = model.encode(sentences) +print(embeddings.shape) +# [3, 2048] + +# 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 | 0.9062 | +| **spearman_cosine** | **0.9205** | + +#### Semantic Similarity + +* Dataset: `sts-test-1024` +* Evaluated with [EmbeddingSimilarityEvaluator](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.EmbeddingSimilarityEvaluator) with these parameters: + ```json + { + "truncate_dim": 1024 + } + ``` + +| Metric | Value | +|:--------------------|:-----------| +| pearson_cosine | 0.8841 | +| **spearman_cosine** | **0.9095** | + +#### 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 | 0.75 | +| cosine_accuracy_threshold | 0.6975 | +| cosine_f1 | 0.7477 | +| cosine_f1_threshold | 0.6259 | +| cosine_precision | 0.6452 | +| cosine_recall | 0.8889 | +| **cosine_ap** | **0.763** | +| cosine_mcc | 0.4774 | + +#### Binary Classification + +* Dataset: `Qnli-dev-1024` +* Evaluated with [BinaryClassificationEvaluator](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.BinaryClassificationEvaluator) with these parameters: + ```json + { + "truncate_dim": 1024 + } + ``` + +| Metric | Value | +|:--------------------------|:-----------| +| cosine_accuracy | 0.7604 | +| cosine_accuracy_threshold | 0.7837 | +| cosine_f1 | 0.7358 | +| cosine_f1_threshold | 0.7243 | +| cosine_precision | 0.6393 | +| cosine_recall | 0.8667 | +| **cosine_ap** | **0.7655** | +| cosine_mcc | 0.4513 | + +#### Triplet + +* Dataset: `allNLI-triplets` +* Evaluated with [TripletEvaluator](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.TripletEvaluator) + +| Metric | Value | +|:--------------------|:-----------| +| **cosine_accuracy** | **0.9688** | + +#### Triplet + +* Dataset: `allNLI--triplets-1024` +* Evaluated with [TripletEvaluator](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.TripletEvaluator) with these parameters: + ```json + { + "truncate_dim": 1024 + } + ``` + +| Metric | Value | +|:--------------------|:-----------| +| **cosine_accuracy** | **0.9479** | + + + + + +## Training Details + +### Training Dataset + +#### global_dataset + +* Dataset: global_dataset +* Size: 94,156 training samples +* Columns: sentence1, sentence2, and negative_1 +* Approximate statistics based on the first 1000 samples: + | | sentence1 | sentence2 | negative_1 | + |:--------|:-----------------------------------------------------------------------------------|:------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------| + | type | string | string | string | + | details | | | | +* Samples: + | sentence1 | sentence2 | negative_1 | + |:---------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| + | The epitome of the Mediterranean diet are dishes from where? | Greek cuisine is characteristic of the healthy Mediterranean diet, which is epitomized by dishes of Crete. | Some dishes can be traced back to ancient Greece like skordalia (a thick purée of walnuts, almonds, crushed garlic and olive oil), lentil soup, retsina (white or rosé wine sealed with pine resin) and pasteli (candy bar with sesame seeds baked with honey). | + | Five Finger Death Punch is a pop-metal band . | Five Finger Death Punch also abbreviated as 5FDP or FFDP , is an American Pop metal band from Las Vegas , Nevada . | Formed in 2005 , the band 's name comes from the Tarantino movie [ Kill Bill|The Touch of Death - five point palm exploding heart technique ] ] . | + | Where are Dancing with the Stars, MasterChef, and The Block filmed? | Reality television productions such as Dancing with the Stars, MasterChef, The Block and The Real Housewives of Melbourne are all filmed in and around Melbourne. | Couples Retreat The primary location for filming was at the St. Regis Bora Bora Resort, Bora Bora in French Polynesia.[4][citation needed] Other filming locations include Los Angeles, Universal Studios and O'Hare International Airport. | +* Loss: [Matryoshka2dLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#matryoshka2dloss) with these parameters: + ```json + { + "loss": "GISTEmbedLoss", + "n_layers_per_step": 2, + "last_layer_weight": 1.0, + "prior_layers_weight": 0.75, + "kl_div_weight": 0.75, + "kl_temperature": 0.75, + "matryoshka_dims": [ + 2048, + 1024 + ], + "matryoshka_weights": [ + 1, + 0.25 + ], + "n_dims_per_step": -1 + } + ``` + +### Evaluation Dataset + +#### global_dataset + +* Dataset: global_dataset +* Size: 803 evaluation samples +* Columns: sentence1, sentence2, and negative_1 +* Approximate statistics based on the first 803 samples: + | | sentence1 | sentence2 | negative_1 | + |:--------|:----------------------------------------------------------------------------------|:------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------| + | type | string | string | string | + | details | | | | +* Samples: + | sentence1 | sentence2 | negative_1 | + |:-------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| + | The album was recorded in Los Angeles by Aníbal Kerpel and mixed in `` La Casa '' studies in Los Angeles , California . | The album was recorded in Los Angeles by Aníbal Kerpel . Mixed in `` La Casa '' studies in Los Angeles , California . | Most of the releases of the album outside North America had the same audio content , but the track markers located differently depending on the label that the CD had released . | + | Earl St Vincent was a British ship that was captured in 1803 and became a French trade man . | Earl St Vincent was a British ship that was captured and became a French merchantman in 1803 . | It was commissioned by Odo, the Bishop of Bayeux and first Earl of Kent, employing natives from Kent who were learned in the Nordic traditions imported in the previous half century by the Danish Vikings. | + | Gillingham have signed midfielder Billy Bingham after he impressed while on trial with the League One club. | The Kent-born 27-year-old, who was a free agent after leaving Crewe earlier this summer, has signed a two-year contract with the Gills.
Bingham started his career at Crystal Palace and had a spell at Dagenham & Redbridge before joining Crewe in 2015.
"I'm buzzing to be here. I'm close to home and I'm delighted because it's a big club," he told the Gills' website.
Find all the latest football transfers on our dedicated page. | Lewis, 28, spent last term on loan at Fulham from Cardiff City and has signed a two-year contract at Pittodrie, while Morris, 26, has agreed a one-year deal.
Alexander, 38, moves to Pittodrie after leaving Hearts and will compete with Lewis for the number one jersey.
Lewis told Aberdeen's website the club's upcoming Europa League qualifiers "were a massive attraction".
"Hopefully we can get through the first few rounds and get as far as we can," added the Englishman.
Capped five times by England's Under-21 side, Lewis was twice an unused substitute for the senior side while playing his club football at Peterborough United.
On-loan Liverpool goalkeeper Danny Ward was Aberdeen's first-choice keeper for the first half of last season but he was recalled to Anfield in January.
Adam Collin, on loan from Rotherham United, Scott Brown and Aaron Lennox also featured in goal for Derek McInnes' side as the Dons finished the season as Scottish Premiership runners-up.
"A lot of goalkeepers when the... | +* Loss: [Matryoshka2dLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#matryoshka2dloss) with these parameters: + ```json + { + "loss": "GISTEmbedLoss", + "n_layers_per_step": 2, + "last_layer_weight": 1.0, + "prior_layers_weight": 0.75, + "kl_div_weight": 0.75, + "kl_temperature": 0.75, + "matryoshka_dims": [ + 2048, + 1024 + ], + "matryoshka_weights": [ + 1, + 0.25 + ], + "n_dims_per_step": -1 + } + ``` + +### Training Hyperparameters +#### Non-Default Hyperparameters + +- `eval_strategy`: steps +- `per_device_train_batch_size`: 32 +- `per_device_eval_batch_size`: 48 +- `gradient_accumulation_steps`: 3 +- `learning_rate`: 0.0001 +- `weight_decay`: 0.0002 +- `lr_scheduler_type`: cosine_with_restarts +- `lr_scheduler_kwargs`: {'num_cycles': 3} +- `warmup_ratio`: 0.15 +- `save_safetensors`: False +- `fp16`: True +- `remove_unused_columns`: False +- `push_to_hub`: True +- `hub_model_id`: bobox/XLMRoBERTaM3-CustomPoolin-v1.06-1024conc1024-MLP-s1-adaptivelayersReg-checkpoints-tmp +- `hub_strategy`: all_checkpoints +- `hub_private_repo`: False +- `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`: 48 +- `per_gpu_train_batch_size`: None +- `per_gpu_eval_batch_size`: None +- `gradient_accumulation_steps`: 3 +- `eval_accumulation_steps`: None +- `torch_empty_cache_steps`: None +- `learning_rate`: 0.0001 +- `weight_decay`: 0.0002 +- `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_restarts +- `lr_scheduler_kwargs`: {'num_cycles': 3} +- `warmup_ratio`: 0.15 +- `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`: False +- `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} +- `tp_size`: 0 +- `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/XLMRoBERTaM3-CustomPoolin-v1.06-1024conc1024-MLP-s1-adaptivelayersReg-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 +- `include_for_metrics`: [] +- `eval_do_concat_batches`: True +- `fp16_backend`: auto +- `push_to_hub_model_id`: None +- `push_to_hub_organization`: None +- `mp_parameters`: +- `auto_find_batch_size`: False +- `full_determinism`: False +- `torchdynamo`: None +- `ray_scope`: last +- `ddp_timeout`: 1800 +- `torch_compile`: False +- `torch_compile_backend`: None +- `torch_compile_mode`: None +- `include_tokens_per_second`: False +- `include_num_input_tokens_seen`: False +- `neftune_noise_alpha`: None +- `optim_target_modules`: None +- `batch_eval_metrics`: False +- `eval_on_start`: False +- `use_liger_kernel`: False +- `eval_use_gather_object`: False +- `average_tokens_across_devices`: False +- `prompts`: None +- `batch_sampler`: no_duplicates +- `multi_dataset_batch_sampler`: proportional + +
+ +### Training Logs +
Click to expand + +| Epoch | Step | Training Loss | global dataset loss | sts-test_spearman_cosine | sts-test-1024_spearman_cosine | Qnli-dev_cosine_ap | Qnli-dev-1024_cosine_ap | allNLI-triplets_cosine_accuracy | allNLI--triplets-1024_cosine_accuracy | +|:------:|:----:|:-------------:|:-------------------:|:------------------------:|:-----------------------------:|:------------------:|:-----------------------:|:-------------------------------:|:-------------------------------------:| +| 0.0010 | 1 | 8.5798 | - | - | - | - | - | - | - | +| 0.0020 | 2 | 8.4222 | - | - | - | - | - | - | - | +| 0.0031 | 3 | 9.392 | - | - | - | - | - | - | - | +| 0.0041 | 4 | 8.4193 | - | - | - | - | - | - | - | +| 0.0051 | 5 | 8.808 | - | - | - | - | - | - | - | +| 0.0061 | 6 | 10.5002 | - | - | - | - | - | - | - | +| 0.0071 | 7 | 9.5956 | - | - | - | - | - | - | - | +| 0.0082 | 8 | 8.5526 | - | - | - | - | - | - | - | +| 0.0092 | 9 | 9.8255 | - | - | - | - | - | - | - | +| 0.0102 | 10 | 9.2067 | - | - | - | - | - | - | - | +| 0.0112 | 11 | 8.667 | - | - | - | - | - | - | - | +| 0.0122 | 12 | 10.396 | - | - | - | - | - | - | - | +| 0.0133 | 13 | 8.9036 | - | - | - | - | - | - | - | +| 0.0143 | 14 | 7.9307 | - | - | - | - | - | - | - | +| 0.0153 | 15 | 9.0655 | - | - | - | - | - | - | - | +| 0.0163 | 16 | 8.6598 | - | - | - | - | - | - | - | +| 0.0173 | 17 | 9.7562 | - | - | - | - | - | - | - | +| 0.0183 | 18 | 9.2297 | - | - | - | - | - | - | - | +| 0.0194 | 19 | 8.6939 | - | - | - | - | - | - | - | +| 0.0204 | 20 | 8.1317 | - | - | - | - | - | - | - | +| 0.0214 | 21 | 8.3585 | - | - | - | - | - | - | - | +| 0.0224 | 22 | 8.4533 | - | - | - | - | - | - | - | +| 0.0234 | 23 | 9.3014 | - | - | - | - | - | - | - | +| 0.0245 | 24 | 8.18 | - | - | - | - | - | - | - | +| 0.0255 | 25 | 7.8485 | - | - | - | - | - | - | - | +| 0.0265 | 26 | 8.9669 | - | - | - | - | - | - | - | +| 0.0275 | 27 | 10.1397 | - | - | - | - | - | - | - | +| 0.0285 | 28 | 10.5216 | - | - | - | - | - | - | - | +| 0.0296 | 29 | 7.4782 | - | - | - | - | - | - | - | +| 0.0306 | 30 | 8.0439 | - | - | - | - | - | - | - | +| 0.0316 | 31 | 7.1911 | - | - | - | - | - | - | - | +| 0.0326 | 32 | 8.5735 | - | - | - | - | - | - | - | +| 0.0336 | 33 | 8.3855 | - | - | - | - | - | - | - | +| 0.0347 | 34 | 8.4305 | - | - | - | - | - | - | - | +| 0.0357 | 35 | 9.4608 | - | - | - | - | - | - | - | +| 0.0367 | 36 | 8.1572 | - | - | - | - | - | - | - | +| 0.0377 | 37 | 8.1456 | - | - | - | - | - | - | - | +| 0.0387 | 38 | 7.3833 | - | - | - | - | - | - | - | +| 0.0398 | 39 | 8.8539 | - | - | - | - | - | - | - | +| 0.0408 | 40 | 8.9349 | - | - | - | - | - | - | - | +| 0.0418 | 41 | 8.1803 | - | - | - | - | - | - | - | +| 0.0428 | 42 | 6.7532 | - | - | - | - | - | - | - | +| 0.0438 | 43 | 7.127 | - | - | - | - | - | - | - | +| 0.0449 | 44 | 7.5565 | - | - | - | - | - | - | - | +| 0.0459 | 45 | 7.6078 | - | - | - | - | - | - | - | +| 0.0469 | 46 | 8.4153 | - | - | - | - | - | - | - | +| 0.0479 | 47 | 7.1062 | - | - | - | - | - | - | - | +| 0.0489 | 48 | 6.8482 | - | - | - | - | - | - | - | +| 0.0499 | 49 | 7.2262 | - | - | - | - | - | - | - | +| 0.0510 | 50 | 8.0207 | - | - | - | - | - | - | - | +| 0.0520 | 51 | 7.6895 | - | - | - | - | - | - | - | +| 0.0530 | 52 | 7.6185 | - | - | - | - | - | - | - | +| 0.0540 | 53 | 8.8153 | - | - | - | - | - | - | - | +| 0.0550 | 54 | 7.7666 | - | - | - | - | - | - | - | +| 0.0561 | 55 | 7.1431 | - | - | - | - | - | - | - | +| 0.0571 | 56 | 6.3969 | - | - | - | - | - | - | - | +| 0.0581 | 57 | 8.1643 | - | - | - | - | - | - | - | +| 0.0591 | 58 | 7.1228 | - | - | - | - | - | - | - | +| 0.0601 | 59 | 6.9228 | - | - | - | - | - | - | - | +| 0.0612 | 60 | 10.2251 | - | - | - | - | - | - | - | +| 0.0622 | 61 | 7.1105 | - | - | - | - | - | - | - | +| 0.0632 | 62 | 7.1156 | - | - | - | - | - | - | - | +| 0.0642 | 63 | 6.5522 | - | - | - | - | - | - | - | +| 0.0652 | 64 | 6.734 | - | - | - | - | - | - | - | +| 0.0663 | 65 | 8.1303 | - | - | - | - | - | - | - | +| 0.0673 | 66 | 7.298 | - | - | - | - | - | - | - | +| 0.0683 | 67 | 6.1227 | - | - | - | - | - | - | - | +| 0.0693 | 68 | 6.7938 | - | - | - | - | - | - | - | +| 0.0703 | 69 | 6.4562 | - | - | - | - | - | - | - | +| 0.0714 | 70 | 8.0389 | - | - | - | - | - | - | - | +| 0.0724 | 71 | 8.7218 | - | - | - | - | - | - | - | +| 0.0734 | 72 | 6.1906 | - | - | - | - | - | - | - | +| 0.0744 | 73 | 6.7222 | - | - | - | - | - | - | - | +| 0.0754 | 74 | 7.0611 | - | - | - | - | - | - | - | +| 0.0765 | 75 | 7.8241 | - | - | - | - | - | - | - | +| 0.0775 | 76 | 6.3791 | - | - | - | - | - | - | - | +| 0.0785 | 77 | 6.8864 | - | - | - | - | - | - | - | +| 0.0795 | 78 | 6.8356 | - | - | - | - | - | - | - | +| 0.0805 | 79 | 6.168 | - | - | - | - | - | - | - | +| 0.0815 | 80 | 8.6845 | - | - | - | - | - | - | - | +| 0.0826 | 81 | 5.9739 | - | - | - | - | - | - | - | +| 0.0836 | 82 | 6.2423 | - | - | - | - | - | - | - | +| 0.0846 | 83 | 7.6247 | - | - | - | - | - | - | - | +| 0.0856 | 84 | 5.8418 | - | - | - | - | - | - | - | +| 0.0866 | 85 | 7.0948 | - | - | - | - | - | - | - | +| 0.0877 | 86 | 6.7457 | - | - | - | - | - | - | - | +| 0.0887 | 87 | 5.6837 | - | - | - | - | - | - | - | +| 0.0897 | 88 | 6.0757 | - | - | - | - | - | - | - | +| 0.0907 | 89 | 6.523 | - | - | - | - | - | - | - | +| 0.0917 | 90 | 6.2917 | - | - | - | - | - | - | - | +| 0.0928 | 91 | 6.0509 | - | - | - | - | - | - | - | +| 0.0938 | 92 | 6.8298 | - | - | - | - | - | - | - | +| 0.0948 | 93 | 7.855 | - | - | - | - | - | - | - | +| 0.0958 | 94 | 6.6372 | - | - | - | - | - | - | - | +| 0.0968 | 95 | 5.7468 | - | - | - | - | - | - | - | +| 0.0979 | 96 | 7.5522 | - | - | - | - | - | - | - | +| 0.0989 | 97 | 7.7825 | - | - | - | - | - | - | - | +| 0.0999 | 98 | 8.7452 | 2.2978 | 0.9173 | 0.7147 | 0.7645 | 0.6275 | 0.9688 | 0.7292 | +| 0.1009 | 99 | 6.2322 | - | - | - | - | - | - | - | +| 0.1019 | 100 | 4.8433 | - | - | - | - | - | - | - | +| 0.1030 | 101 | 4.8335 | - | - | - | - | - | - | - | +| 0.1040 | 102 | 5.138 | - | - | - | - | - | - | - | +| 0.1050 | 103 | 4.8609 | - | - | - | - | - | - | - | +| 0.1060 | 104 | 4.6204 | - | - | - | - | - | - | - | +| 0.1070 | 105 | 4.3809 | - | - | - | - | - | - | - | +| 0.1081 | 106 | 5.6703 | - | - | - | - | - | - | - | +| 0.1091 | 107 | 5.0237 | - | - | - | - | - | - | - | +| 0.1101 | 108 | 4.002 | - | - | - | - | - | - | - | +| 0.1111 | 109 | 5.2532 | - | - | - | - | - | - | - | +| 0.1121 | 110 | 4.1033 | - | - | - | - | - | - | - | +| 0.1131 | 111 | 4.0818 | - | - | - | - | - | - | - | +| 0.1142 | 112 | 3.458 | - | - | - | - | - | - | - | +| 0.1152 | 113 | 4.3372 | - | - | - | - | - | - | - | +| 0.1162 | 114 | 4.9513 | - | - | - | - | - | - | - | +| 0.1172 | 115 | 5.2602 | - | - | - | - | - | - | - | +| 0.1182 | 116 | 3.1741 | - | - | - | - | - | - | - | +| 0.1193 | 117 | 4.1914 | - | - | - | - | - | - | - | +| 0.1203 | 118 | 2.8383 | - | - | - | - | - | - | - | +| 0.1213 | 119 | 3.4165 | - | - | - | - | - | - | - | +| 0.1223 | 120 | 3.5085 | - | - | - | - | - | - | - | +| 0.1233 | 121 | 2.3992 | - | - | - | - | - | - | - | +| 0.1244 | 122 | 2.4849 | - | - | - | - | - | - | - | +| 0.1254 | 123 | 2.2839 | - | - | - | - | - | - | - | +| 0.1264 | 124 | 2.567 | - | - | - | - | - | - | - | +| 0.1274 | 125 | 4.5119 | - | - | - | - | - | - | - | +| 0.1284 | 126 | 2.767 | - | - | - | - | - | - | - | +| 0.1295 | 127 | 4.0225 | - | - | - | - | - | - | - | +| 0.1305 | 128 | 1.8294 | - | - | - | - | - | - | - | +| 0.1315 | 129 | 4.4174 | - | - | - | - | - | - | - | +| 0.1325 | 130 | 2.0112 | - | - | - | - | - | - | - | +| 0.1335 | 131 | 1.7772 | - | - | - | - | - | - | - | +| 0.1346 | 132 | 3.1912 | - | - | - | - | - | - | - | +| 0.1356 | 133 | 2.4527 | - | - | - | - | - | - | - | +| 0.1366 | 134 | 1.6424 | - | - | - | - | - | - | - | +| 0.1376 | 135 | 2.6143 | - | - | - | - | - | - | - | +| 0.1386 | 136 | 2.0498 | - | - | - | - | - | - | - | +| 0.1397 | 137 | 1.962 | - | - | - | - | - | - | - | +| 0.1407 | 138 | 1.789 | - | - | - | - | - | - | - | +| 0.1417 | 139 | 1.459 | - | - | - | - | - | - | - | +| 0.1427 | 140 | 1.2479 | - | - | - | - | - | - | - | +| 0.1437 | 141 | 2.5413 | - | - | - | - | - | - | - | +| 0.1448 | 142 | 1.4077 | - | - | - | - | - | - | - | +| 0.1458 | 143 | 2.6988 | - | - | - | - | - | - | - | +| 0.1468 | 144 | 2.9772 | - | - | - | - | - | - | - | +| 0.1478 | 145 | 1.6265 | - | - | - | - | - | - | - | +| 0.1488 | 146 | 1.9404 | - | - | - | - | - | - | - | +| 0.1498 | 147 | 1.4251 | - | - | - | - | - | - | - | +| 0.1509 | 148 | 2.6657 | - | - | - | - | - | - | - | +| 0.1519 | 149 | 2.1576 | - | - | - | - | - | - | - | +| 0.1529 | 150 | 1.53 | - | - | - | - | - | - | - | +| 0.1539 | 151 | 1.2642 | - | - | - | - | - | - | - | +| 0.1549 | 152 | 2.4846 | - | - | - | - | - | - | - | +| 0.1560 | 153 | 1.4979 | - | - | - | - | - | - | - | +| 0.1570 | 154 | 1.8149 | - | - | - | - | - | - | - | +| 0.1580 | 155 | 1.4693 | - | - | - | - | - | - | - | +| 0.1590 | 156 | 2.0114 | - | - | - | - | - | - | - | +| 0.1600 | 157 | 1.5511 | - | - | - | - | - | - | - | +| 0.1611 | 158 | 1.621 | - | - | - | - | - | - | - | +| 0.1621 | 159 | 2.1122 | - | - | - | - | - | - | - | +| 0.1631 | 160 | 1.8148 | - | - | - | - | - | - | - | +| 0.1641 | 161 | 1.9861 | - | - | - | - | - | - | - | +| 0.1651 | 162 | 1.3943 | - | - | - | - | - | - | - | +| 0.1662 | 163 | 1.7317 | - | - | - | - | - | - | - | +| 0.1672 | 164 | 1.6 | - | - | - | - | - | - | - | +| 0.1682 | 165 | 1.2222 | - | - | - | - | - | - | - | +| 0.1692 | 166 | 1.6152 | - | - | - | - | - | - | - | +| 0.1702 | 167 | 1.0374 | - | - | - | - | - | - | - | +| 0.1713 | 168 | 1.2844 | - | - | - | - | - | - | - | +| 0.1723 | 169 | 1.8805 | - | - | - | - | - | - | - | +| 0.1733 | 170 | 1.0972 | - | - | - | - | - | - | - | +| 0.1743 | 171 | 1.7012 | - | - | - | - | - | - | - | +| 0.1753 | 172 | 1.4182 | - | - | - | - | - | - | - | +| 0.1764 | 173 | 2.6053 | - | - | - | - | - | - | - | +| 0.1774 | 174 | 1.4193 | - | - | - | - | - | - | - | +| 0.1784 | 175 | 2.251 | - | - | - | - | - | - | - | +| 0.1794 | 176 | 1.9057 | - | - | - | - | - | - | - | +| 0.1804 | 177 | 1.1228 | - | - | - | - | - | - | - | +| 0.1814 | 178 | 4.0905 | - | - | - | - | - | - | - | +| 0.1825 | 179 | 0.9007 | - | - | - | - | - | - | - | +| 0.1835 | 180 | 2.0665 | - | - | - | - | - | - | - | +| 0.1845 | 181 | 1.0946 | - | - | - | - | - | - | - | +| 0.1855 | 182 | 1.7479 | - | - | - | - | - | - | - | +| 0.1865 | 183 | 2.0877 | - | - | - | - | - | - | - | +| 0.1876 | 184 | 0.9239 | - | - | - | - | - | - | - | +| 0.1886 | 185 | 1.7865 | - | - | - | - | - | - | - | +| 0.1896 | 186 | 2.1053 | - | - | - | - | - | - | - | +| 0.1906 | 187 | 1.5273 | - | - | - | - | - | - | - | +| 0.1916 | 188 | 1.8726 | - | - | - | - | - | - | - | +| 0.1927 | 189 | 1.4663 | - | - | - | - | - | - | - | +| 0.1937 | 190 | 1.0136 | - | - | - | - | - | - | - | +| 0.1947 | 191 | 1.121 | - | - | - | - | - | - | - | +| 0.1957 | 192 | 1.6074 | - | - | - | - | - | - | - | +| 0.1967 | 193 | 2.1956 | - | - | - | - | - | - | - | +| 0.1978 | 194 | 1.5425 | - | - | - | - | - | - | - | +| 0.1988 | 195 | 1.4552 | - | - | - | - | - | - | - | +| 0.1998 | 196 | 1.2635 | 0.5179 | 0.9185 | 0.8973 | 0.7646 | 0.7435 | 0.9583 | 0.9167 | +| 0.2008 | 197 | 1.7222 | - | - | - | - | - | - | - | +| 0.2018 | 198 | 2.377 | - | - | - | - | - | - | - | +| 0.2029 | 199 | 1.5317 | - | - | - | - | - | - | - | +| 0.2039 | 200 | 1.0494 | - | - | - | - | - | - | - | +| 0.2049 | 201 | 1.7392 | - | - | - | - | - | - | - | +| 0.2059 | 202 | 1.2924 | - | - | - | - | - | - | - | +| 0.2069 | 203 | 0.9413 | - | - | - | - | - | - | - | +| 0.2080 | 204 | 2.1448 | - | - | - | - | - | - | - | +| 0.2090 | 205 | 1.0357 | - | - | - | - | - | - | - | +| 0.2100 | 206 | 1.3534 | - | - | - | - | - | - | - | +| 0.2110 | 207 | 1.0564 | - | - | - | - | - | - | - | +| 0.2120 | 208 | 0.9259 | - | - | - | - | - | - | - | +| 0.2130 | 209 | 1.3813 | - | - | - | - | - | - | - | +| 0.2141 | 210 | 0.8828 | - | - | - | - | - | - | - | +| 0.2151 | 211 | 2.9147 | - | - | - | - | - | - | - | +| 0.2161 | 212 | 0.6539 | - | - | - | - | - | - | - | +| 0.2171 | 213 | 1.3092 | - | - | - | - | - | - | - | +| 0.2181 | 214 | 1.1562 | - | - | - | - | - | - | - | +| 0.2192 | 215 | 0.9509 | - | - | - | - | - | - | - | +| 0.2202 | 216 | 0.6664 | - | - | - | - | - | - | - | +| 0.2212 | 217 | 1.2315 | - | - | - | - | - | - | - | +| 0.2222 | 218 | 0.9855 | - | - | - | - | - | - | - | +| 0.2232 | 219 | 0.9258 | - | - | - | - | - | - | - | +| 0.2243 | 220 | 1.6578 | - | - | - | - | - | - | - | +| 0.2253 | 221 | 0.9666 | - | - | - | - | - | - | - | +| 0.2263 | 222 | 0.9808 | - | - | - | - | - | - | - | +| 0.2273 | 223 | 2.4156 | - | - | - | - | - | - | - | +| 0.2283 | 224 | 1.1297 | - | - | - | - | - | - | - | +| 0.2294 | 225 | 1.3063 | - | - | - | - | - | - | - | +| 0.2304 | 226 | 0.5567 | - | - | - | - | - | - | - | +| 0.2314 | 227 | 1.3551 | - | - | - | - | - | - | - | +| 0.2324 | 228 | 1.4079 | - | - | - | - | - | - | - | +| 0.2334 | 229 | 0.948 | - | - | - | - | - | - | - | +| 0.2345 | 230 | 0.9288 | - | - | - | - | - | - | - | +| 0.2355 | 231 | 1.0077 | - | - | - | - | - | - | - | +| 0.2365 | 232 | 1.0674 | - | - | - | - | - | - | - | +| 0.2375 | 233 | 1.3354 | - | - | - | - | - | - | - | +| 0.2385 | 234 | 1.0076 | - | - | - | - | - | - | - | +| 0.2396 | 235 | 0.8814 | - | - | - | - | - | - | - | +| 0.2406 | 236 | 1.7839 | - | - | - | - | - | - | - | +| 0.2416 | 237 | 1.2614 | - | - | - | - | - | - | - | +| 0.2426 | 238 | 0.8655 | - | - | - | - | - | - | - | +| 0.2436 | 239 | 1.8418 | - | - | - | - | - | - | - | +| 0.2446 | 240 | 1.4465 | - | - | - | - | - | - | - | +| 0.2457 | 241 | 0.8695 | - | - | - | - | - | - | - | +| 0.2467 | 242 | 0.9695 | - | - | - | - | - | - | - | +| 0.2477 | 243 | 1.3374 | - | - | - | - | - | - | - | +| 0.2487 | 244 | 0.6716 | - | - | - | - | - | - | - | +| 0.2497 | 245 | 1.032 | - | - | - | - | - | - | - | +| 0.2508 | 246 | 0.8033 | - | - | - | - | - | - | - | +| 0.2518 | 247 | 0.9257 | - | - | - | - | - | - | - | +| 0.2528 | 248 | 0.8311 | - | - | - | - | - | - | - | +| 0.2538 | 249 | 0.5609 | - | - | - | - | - | - | - | +| 0.2548 | 250 | 1.5985 | - | - | - | - | - | - | - | +| 0.2559 | 251 | 1.0025 | - | - | - | - | - | - | - | +| 0.2569 | 252 | 2.0499 | - | - | - | - | - | - | - | +| 0.2579 | 253 | 1.3116 | - | - | - | - | - | - | - | +| 0.2589 | 254 | 0.5969 | - | - | - | - | - | - | - | +| 0.2599 | 255 | 1.1107 | - | - | - | - | - | - | - | +| 0.2610 | 256 | 1.8581 | - | - | - | - | - | - | - | +| 0.2620 | 257 | 0.572 | - | - | - | - | - | - | - | +| 0.2630 | 258 | 0.9267 | - | - | - | - | - | - | - | +| 0.2640 | 259 | 0.6255 | - | - | - | - | - | - | - | +| 0.2650 | 260 | 0.7615 | - | - | - | - | - | - | - | +| 0.2661 | 261 | 0.6026 | - | - | - | - | - | - | - | +| 0.2671 | 262 | 0.7263 | - | - | - | - | - | - | - | +| 0.2681 | 263 | 0.4643 | - | - | - | - | - | - | - | +| 0.2691 | 264 | 0.5101 | - | - | - | - | - | - | - | +| 0.2701 | 265 | 0.5562 | - | - | - | - | - | - | - | +| 0.2712 | 266 | 1.256 | - | - | - | - | - | - | - | +| 0.2722 | 267 | 0.6543 | - | - | - | - | - | - | - | +| 0.2732 | 268 | 0.6698 | - | - | - | - | - | - | - | +| 0.2742 | 269 | 1.3843 | - | - | - | - | - | - | - | +| 0.2752 | 270 | 1.1421 | - | - | - | - | - | - | - | +| 0.2762 | 271 | 1.1558 | - | - | - | - | - | - | - | +| 0.2773 | 272 | 1.603 | - | - | - | - | - | - | - | +| 0.2783 | 273 | 0.7985 | - | - | - | - | - | - | - | +| 0.2793 | 274 | 1.3884 | - | - | - | - | - | - | - | +| 0.2803 | 275 | 1.0337 | - | - | - | - | - | - | - | +| 0.2813 | 276 | 1.0917 | - | - | - | - | - | - | - | +| 0.2824 | 277 | 2.4149 | - | - | - | - | - | - | - | +| 0.2834 | 278 | 0.4301 | - | - | - | - | - | - | - | +| 0.2844 | 279 | 0.5084 | - | - | - | - | - | - | - | +| 0.2854 | 280 | 0.7202 | - | - | - | - | - | - | - | +| 0.2864 | 281 | 1.7983 | - | - | - | - | - | - | - | +| 0.2875 | 282 | 0.673 | - | - | - | - | - | - | - | +| 0.2885 | 283 | 0.6655 | - | - | - | - | - | - | - | +| 0.2895 | 284 | 0.9121 | - | - | - | - | - | - | - | +| 0.2905 | 285 | 1.5978 | - | - | - | - | - | - | - | +| 0.2915 | 286 | 1.8536 | - | - | - | - | - | - | - | +| 0.2926 | 287 | 1.6397 | - | - | - | - | - | - | - | +| 0.2936 | 288 | 0.8275 | - | - | - | - | - | - | - | +| 0.2946 | 289 | 0.6003 | - | - | - | - | - | - | - | +| 0.2956 | 290 | 0.9834 | - | - | - | - | - | - | - | +| 0.2966 | 291 | 0.603 | - | - | - | - | - | - | - | +| 0.2977 | 292 | 0.6597 | - | - | - | - | - | - | - | +| 0.2987 | 293 | 0.739 | - | - | - | - | - | - | - | +| 0.2997 | 294 | 1.2564 | 0.4856 | 0.9206 | 0.9054 | 0.7589 | 0.7531 | 0.9583 | 0.8854 | +| 0.3007 | 295 | 1.4442 | - | - | - | - | - | - | - | +| 0.3017 | 296 | 1.4064 | - | - | - | - | - | - | - | +| 0.3028 | 297 | 0.8456 | - | - | - | - | - | - | - | +| 0.3038 | 298 | 0.7772 | - | - | - | - | - | - | - | +| 0.3048 | 299 | 0.7619 | - | - | - | - | - | - | - | +| 0.3058 | 300 | 1.002 | - | - | - | - | - | - | - | +| 0.3068 | 301 | 1.4774 | - | - | - | - | - | - | - | +| 0.3078 | 302 | 0.6814 | - | - | - | - | - | - | - | +| 0.3089 | 303 | 1.2286 | - | - | - | - | - | - | - | +| 0.3099 | 304 | 1.8546 | - | - | - | - | - | - | - | +| 0.3109 | 305 | 0.7547 | - | - | - | - | - | - | - | +| 0.3119 | 306 | 1.3638 | - | - | - | - | - | - | - | +| 0.3129 | 307 | 1.2604 | - | - | - | - | - | - | - | +| 0.3140 | 308 | 0.5111 | - | - | - | - | - | - | - | +| 0.3150 | 309 | 0.7153 | - | - | - | - | - | - | - | +| 0.3160 | 310 | 0.8367 | - | - | - | - | - | - | - | +| 0.3170 | 311 | 0.6643 | - | - | - | - | - | - | - | +| 0.3180 | 312 | 1.0404 | - | - | - | - | - | - | - | +| 0.3191 | 313 | 1.122 | - | - | - | - | - | - | - | +| 0.3201 | 314 | 0.7091 | - | - | - | - | - | - | - | +| 0.3211 | 315 | 1.07 | - | - | - | - | - | - | - | +| 0.3221 | 316 | 0.7246 | - | - | - | - | - | - | - | +| 0.3231 | 317 | 0.821 | - | - | - | - | - | - | - | +| 0.3242 | 318 | 0.9556 | - | - | - | - | - | - | - | +| 0.3252 | 319 | 1.2634 | - | - | - | - | - | - | - | +| 0.3262 | 320 | 0.8621 | - | - | - | - | - | - | - | +| 0.3272 | 321 | 1.4215 | - | - | - | - | - | - | - | +| 0.3282 | 322 | 0.8894 | - | - | - | - | - | - | - | +| 0.3293 | 323 | 0.4134 | - | - | - | - | - | - | - | +| 0.3303 | 324 | 0.4147 | - | - | - | - | - | - | - | +| 0.3313 | 325 | 0.5721 | - | - | - | - | - | - | - | +| 0.3323 | 326 | 0.8541 | - | - | - | - | - | - | - | +| 0.3333 | 327 | 2.2959 | - | - | - | - | - | - | - | +| 0.3344 | 328 | 0.4452 | - | - | - | - | - | - | - | +| 0.3354 | 329 | 0.5008 | - | - | - | - | - | - | - | +| 0.3364 | 330 | 0.4106 | - | - | - | - | - | - | - | +| 0.3374 | 331 | 0.9237 | - | - | - | - | - | - | - | +| 0.3384 | 332 | 0.6275 | - | - | - | - | - | - | - | +| 0.3394 | 333 | 1.5184 | - | - | - | - | - | - | - | +| 0.3405 | 334 | 1.7865 | - | - | - | - | - | - | - | +| 0.3415 | 335 | 1.5947 | - | - | - | - | - | - | - | +| 0.3425 | 336 | 1.0249 | - | - | - | - | - | - | - | +| 0.3435 | 337 | 1.0227 | - | - | - | - | - | - | - | +| 0.3445 | 338 | 1.28 | - | - | - | - | - | - | - | +| 0.3456 | 339 | 0.798 | - | - | - | - | - | - | - | +| 0.3466 | 340 | 1.0408 | - | - | - | - | - | - | - | +| 0.3476 | 341 | 0.9732 | - | - | - | - | - | - | - | +| 0.3486 | 342 | 0.7588 | - | - | - | - | - | - | - | +| 0.3496 | 343 | 0.9615 | - | - | - | - | - | - | - | +| 0.3507 | 344 | 0.9895 | - | - | - | - | - | - | - | +| 0.3517 | 345 | 1.923 | - | - | - | - | - | - | - | +| 0.3527 | 346 | 0.615 | - | - | - | - | - | - | - | +| 0.3537 | 347 | 1.4572 | - | - | - | - | - | - | - | +| 0.3547 | 348 | 1.0083 | - | - | - | - | - | - | - | +| 0.3558 | 349 | 0.922 | - | - | - | - | - | - | - | +| 0.3568 | 350 | 1.3767 | - | - | - | - | - | - | - | +| 0.3578 | 351 | 0.6378 | - | - | - | - | - | - | - | +| 0.3588 | 352 | 0.4063 | - | - | - | - | - | - | - | +| 0.3598 | 353 | 1.0834 | - | - | - | - | - | - | - | +| 0.3609 | 354 | 0.807 | - | - | - | - | - | - | - | +| 0.3619 | 355 | 1.0293 | - | - | - | - | - | - | - | +| 0.3629 | 356 | 0.4371 | - | - | - | - | - | - | - | +| 0.3639 | 357 | 0.4334 | - | - | - | - | - | - | - | +| 0.3649 | 358 | 0.949 | - | - | - | - | - | - | - | +| 0.3660 | 359 | 0.5788 | - | - | - | - | - | - | - | +| 0.3670 | 360 | 0.8535 | - | - | - | - | - | - | - | +| 0.3680 | 361 | 1.2529 | - | - | - | - | - | - | - | +| 0.3690 | 362 | 0.8974 | - | - | - | - | - | - | - | +| 0.3700 | 363 | 1.9105 | - | - | - | - | - | - | - | +| 0.3710 | 364 | 0.7717 | - | - | - | - | - | - | - | +| 0.3721 | 365 | 1.1052 | - | - | - | - | - | - | - | +| 0.3731 | 366 | 0.7298 | - | - | - | - | - | - | - | +| 0.3741 | 367 | 0.7039 | - | - | - | - | - | - | - | +| 0.3751 | 368 | 0.8536 | - | - | - | - | - | - | - | +| 0.3761 | 369 | 0.4774 | - | - | - | - | - | - | - | +| 0.3772 | 370 | 0.3297 | - | - | - | - | - | - | - | +| 0.3782 | 371 | 1.693 | - | - | - | - | - | - | - | +| 0.3792 | 372 | 0.853 | - | - | - | - | - | - | - | +| 0.3802 | 373 | 0.7242 | - | - | - | - | - | - | - | +| 0.3812 | 374 | 0.5019 | - | - | - | - | - | - | - | +| 0.3823 | 375 | 0.6206 | - | - | - | - | - | - | - | +| 0.3833 | 376 | 0.4872 | - | - | - | - | - | - | - | +| 0.3843 | 377 | 0.4515 | - | - | - | - | - | - | - | +| 0.3853 | 378 | 1.4657 | - | - | - | - | - | - | - | +| 0.3863 | 379 | 0.8411 | - | - | - | - | - | - | - | +| 0.3874 | 380 | 0.7654 | - | - | - | - | - | - | - | +| 0.3884 | 381 | 0.5413 | - | - | - | - | - | - | - | +| 0.3894 | 382 | 0.4594 | - | - | - | - | - | - | - | +| 0.3904 | 383 | 1.2656 | - | - | - | - | - | - | - | +| 0.3914 | 384 | 0.6881 | - | - | - | - | - | - | - | +| 0.3925 | 385 | 0.8169 | - | - | - | - | - | - | - | +| 0.3935 | 386 | 0.937 | - | - | - | - | - | - | - | +| 0.3945 | 387 | 2.1343 | - | - | - | - | - | - | - | +| 0.3955 | 388 | 0.3644 | - | - | - | - | - | - | - | +| 0.3965 | 389 | 0.4406 | - | - | - | - | - | - | - | +| 0.3976 | 390 | 0.5444 | - | - | - | - | - | - | - | +| 0.3986 | 391 | 1.3891 | - | - | - | - | - | - | - | +| 0.3996 | 392 | 0.6287 | 0.3704 | 0.9201 | 0.9080 | 0.7576 | 0.7683 | 0.9479 | 0.9271 | +| 0.4006 | 393 | 1.066 | - | - | - | - | - | - | - | +| 0.4016 | 394 | 1.0406 | - | - | - | - | - | - | - | +| 0.4027 | 395 | 0.819 | - | - | - | - | - | - | - | +| 0.4037 | 396 | 0.5826 | - | - | - | - | - | - | - | +| 0.4047 | 397 | 0.6355 | - | - | - | - | - | - | - | +| 0.4057 | 398 | 0.7566 | - | - | - | - | - | - | - | +| 0.4067 | 399 | 0.8174 | - | - | - | - | - | - | - | +| 0.4077 | 400 | 0.8905 | - | - | - | - | - | - | - | +| 0.4088 | 401 | 0.6646 | - | - | - | - | - | - | - | +| 0.4098 | 402 | 0.9056 | - | - | - | - | - | - | - | +| 0.4108 | 403 | 0.3689 | - | - | - | - | - | - | - | +| 0.4118 | 404 | 0.3709 | - | - | - | - | - | - | - | +| 0.4128 | 405 | 0.6708 | - | - | - | - | - | - | - | +| 0.4139 | 406 | 1.0531 | - | - | - | - | - | - | - | +| 0.4149 | 407 | 1.1355 | - | - | - | - | - | - | - | +| 0.4159 | 408 | 0.8042 | - | - | - | - | - | - | - | +| 0.4169 | 409 | 0.3915 | - | - | - | - | - | - | - | +| 0.4179 | 410 | 1.9388 | - | - | - | - | - | - | - | +| 0.4190 | 411 | 0.3044 | - | - | - | - | - | - | - | +| 0.4200 | 412 | 0.6153 | - | - | - | - | - | - | - | +| 0.4210 | 413 | 0.9407 | - | - | - | - | - | - | - | +| 0.4220 | 414 | 0.6876 | - | - | - | - | - | - | - | +| 0.4230 | 415 | 0.9694 | - | - | - | - | - | - | - | +| 0.4241 | 416 | 0.7868 | - | - | - | - | - | - | - | +| 0.4251 | 417 | 0.7735 | - | - | - | - | - | - | - | +| 0.4261 | 418 | 1.1682 | - | - | - | - | - | - | - | +| 0.4271 | 419 | 0.3465 | - | - | - | - | - | - | - | +| 0.4281 | 420 | 0.5699 | - | - | - | - | - | - | - | +| 0.4292 | 421 | 0.6128 | - | - | - | - | - | - | - | +| 0.4302 | 422 | 0.8886 | - | - | - | - | - | - | - | +| 0.4312 | 423 | 0.5124 | - | - | - | - | - | - | - | +| 0.4322 | 424 | 0.4409 | - | - | - | - | - | - | - | +| 0.4332 | 425 | 0.6368 | - | - | - | - | - | - | - | +| 0.4343 | 426 | 0.9874 | - | - | - | - | - | - | - | +| 0.4353 | 427 | 1.6544 | - | - | - | - | - | - | - | +| 0.4363 | 428 | 0.4561 | - | - | - | - | - | - | - | +| 0.4373 | 429 | 0.5443 | - | - | - | - | - | - | - | +| 0.4383 | 430 | 0.5183 | - | - | - | - | - | - | - | +| 0.4393 | 431 | 1.1585 | - | - | - | - | - | - | - | +| 0.4404 | 432 | 1.4285 | - | - | - | - | - | - | - | +| 0.4414 | 433 | 1.0638 | - | - | - | - | - | - | - | +| 0.4424 | 434 | 0.553 | - | - | - | - | - | - | - | +| 0.4434 | 435 | 1.0009 | - | - | - | - | - | - | - | +| 0.4444 | 436 | 0.5211 | - | - | - | - | - | - | - | +| 0.4455 | 437 | 0.6483 | - | - | - | - | - | - | - | +| 0.4465 | 438 | 1.2634 | - | - | - | - | - | - | - | +| 0.4475 | 439 | 0.5242 | - | - | - | - | - | - | - | +| 0.4485 | 440 | 1.3739 | - | - | - | - | - | - | - | +| 0.4495 | 441 | 1.0153 | - | - | - | - | - | - | - | +| 0.4506 | 442 | 0.7174 | - | - | - | - | - | - | - | +| 0.4516 | 443 | 0.8631 | - | - | - | - | - | - | - | +| 0.4526 | 444 | 1.0721 | - | - | - | - | - | - | - | +| 0.4536 | 445 | 0.3682 | - | - | - | - | - | - | - | +| 0.4546 | 446 | 1.3278 | - | - | - | - | - | - | - | +| 0.4557 | 447 | 0.665 | - | - | - | - | - | - | - | +| 0.4567 | 448 | 0.77 | - | - | - | - | - | - | - | +| 0.4577 | 449 | 0.9903 | - | - | - | - | - | - | - | +| 0.4587 | 450 | 0.3372 | - | - | - | - | - | - | - | +| 0.4597 | 451 | 0.6911 | - | - | - | - | - | - | - | +| 0.4608 | 452 | 0.505 | - | - | - | - | - | - | - | +| 0.4618 | 453 | 1.3397 | - | - | - | - | - | - | - | +| 0.4628 | 454 | 0.2853 | - | - | - | - | - | - | - | +| 0.4638 | 455 | 1.198 | - | - | - | - | - | - | - | +| 0.4648 | 456 | 1.7965 | - | - | - | - | - | - | - | +| 0.4659 | 457 | 0.2987 | - | - | - | - | - | - | - | +| 0.4669 | 458 | 0.6864 | - | - | - | - | - | - | - | +| 0.4679 | 459 | 0.9016 | - | - | - | - | - | - | - | +| 0.4689 | 460 | 0.7314 | - | - | - | - | - | - | - | +| 0.4699 | 461 | 0.6633 | - | - | - | - | - | - | - | +| 0.4709 | 462 | 0.9783 | - | - | - | - | - | - | - | +| 0.4720 | 463 | 1.1307 | - | - | - | - | - | - | - | +| 0.4730 | 464 | 1.4662 | - | - | - | - | - | - | - | +| 0.4740 | 465 | 1.4666 | - | - | - | - | - | - | - | +| 0.4750 | 466 | 0.5918 | - | - | - | - | - | - | - | +| 0.4760 | 467 | 1.5836 | - | - | - | - | - | - | - | +| 0.4771 | 468 | 0.5698 | - | - | - | - | - | - | - | +| 0.4781 | 469 | 0.4654 | - | - | - | - | - | - | - | +| 0.4791 | 470 | 0.9522 | - | - | - | - | - | - | - | +| 0.4801 | 471 | 0.4748 | - | - | - | - | - | - | - | +| 0.4811 | 472 | 2.0766 | - | - | - | - | - | - | - | +| 0.4822 | 473 | 0.7071 | - | - | - | - | - | - | - | +| 0.4832 | 474 | 0.435 | - | - | - | - | - | - | - | +| 0.4842 | 475 | 0.4551 | - | - | - | - | - | - | - | +| 0.4852 | 476 | 1.1758 | - | - | - | - | - | - | - | +| 0.4862 | 477 | 0.9995 | - | - | - | - | - | - | - | +| 0.4873 | 478 | 1.6207 | - | - | - | - | - | - | - | +| 0.4883 | 479 | 0.6978 | - | - | - | - | - | - | - | +| 0.4893 | 480 | 0.4236 | - | - | - | - | - | - | - | +| 0.4903 | 481 | 1.8218 | - | - | - | - | - | - | - | +| 0.4913 | 482 | 0.8749 | - | - | - | - | - | - | - | +| 0.4924 | 483 | 1.1704 | - | - | - | - | - | - | - | +| 0.4934 | 484 | 0.5327 | - | - | - | - | - | - | - | +| 0.4944 | 485 | 1.2009 | - | - | - | - | - | - | - | +| 0.4954 | 486 | 0.5427 | - | - | - | - | - | - | - | +| 0.4964 | 487 | 0.5893 | - | - | - | - | - | - | - | +| 0.4975 | 488 | 1.061 | - | - | - | - | - | - | - | +| 0.4985 | 489 | 0.5465 | - | - | - | - | - | - | - | +| 0.4995 | 490 | 0.7035 | 0.3481 | 0.9181 | 0.8986 | 0.7446 | 0.7443 | 0.9375 | 0.9062 | +| 0.5005 | 491 | 1.6596 | - | - | - | - | - | - | - | +| 0.5015 | 492 | 0.4475 | - | - | - | - | - | - | - | +| 0.5025 | 493 | 2.0803 | - | - | - | - | - | - | - | +| 0.5036 | 494 | 0.4296 | - | - | - | - | - | - | - | +| 0.5046 | 495 | 1.5435 | - | - | - | - | - | - | - | +| 0.5056 | 496 | 0.6073 | - | - | - | - | - | - | - | +| 0.5066 | 497 | 1.1774 | - | - | - | - | - | - | - | +| 0.5076 | 498 | 0.8951 | - | - | - | - | - | - | - | +| 0.5087 | 499 | 0.3775 | - | - | - | - | - | - | - | +| 0.5097 | 500 | 0.8086 | - | - | - | - | - | - | - | +| 0.5107 | 501 | 0.3864 | - | - | - | - | - | - | - | +| 0.5117 | 502 | 0.8865 | - | - | - | - | - | - | - | +| 0.5127 | 503 | 0.567 | - | - | - | - | - | - | - | +| 0.5138 | 504 | 0.9304 | - | - | - | - | - | - | - | +| 0.5148 | 505 | 0.6977 | - | - | - | - | - | - | - | +| 0.5158 | 506 | 1.3174 | - | - | - | - | - | - | - | +| 0.5168 | 507 | 1.2481 | - | - | - | - | - | - | - | +| 0.5178 | 508 | 0.4894 | - | - | - | - | - | - | - | +| 0.5189 | 509 | 0.8095 | - | - | - | - | - | - | - | +| 0.5199 | 510 | 0.388 | - | - | - | - | - | - | - | +| 0.5209 | 511 | 0.6725 | - | - | - | - | - | - | - | +| 0.5219 | 512 | 0.4804 | - | - | - | - | - | - | - | +| 0.5229 | 513 | 1.2414 | - | - | - | - | - | - | - | +| 0.5240 | 514 | 1.0319 | - | - | - | - | - | - | - | +| 0.5250 | 515 | 2.0732 | - | - | - | - | - | - | - | +| 0.5260 | 516 | 1.1168 | - | - | - | - | - | - | - | +| 0.5270 | 517 | 0.8056 | - | - | - | - | - | - | - | +| 0.5280 | 518 | 0.5322 | - | - | - | - | - | - | - | +| 0.5291 | 519 | 0.4348 | - | - | - | - | - | - | - | +| 0.5301 | 520 | 0.6316 | - | - | - | - | - | - | - | +| 0.5311 | 521 | 0.3212 | - | - | - | - | - | - | - | +| 0.5321 | 522 | 0.4739 | - | - | - | - | - | - | - | +| 0.5331 | 523 | 1.1692 | - | - | - | - | - | - | - | +| 0.5341 | 524 | 0.941 | - | - | - | - | - | - | - | +| 0.5352 | 525 | 0.3767 | - | - | - | - | - | - | - | +| 0.5362 | 526 | 0.5264 | - | - | - | - | - | - | - | +| 0.5372 | 527 | 0.4345 | - | - | - | - | - | - | - | +| 0.5382 | 528 | 1.0352 | - | - | - | - | - | - | - | +| 0.5392 | 529 | 1.1014 | - | - | - | - | - | - | - | +| 0.5403 | 530 | 0.7368 | - | - | - | - | - | - | - | +| 0.5413 | 531 | 0.5324 | - | - | - | - | - | - | - | +| 0.5423 | 532 | 0.5351 | - | - | - | - | - | - | - | +| 0.5433 | 533 | 1.6815 | - | - | - | - | - | - | - | +| 0.5443 | 534 | 0.8125 | - | - | - | - | - | - | - | +| 0.5454 | 535 | 0.8629 | - | - | - | - | - | - | - | +| 0.5464 | 536 | 1.3161 | - | - | - | - | - | - | - | +| 0.5474 | 537 | 1.0465 | - | - | - | - | - | - | - | +| 0.5484 | 538 | 0.4531 | - | - | - | - | - | - | - | +| 0.5494 | 539 | 0.5567 | - | - | - | - | - | - | - | +| 0.5505 | 540 | 0.7093 | - | - | - | - | - | - | - | +| 0.5515 | 541 | 1.9339 | - | - | - | - | - | - | - | +| 0.5525 | 542 | 0.3659 | - | - | - | - | - | - | - | +| 0.5535 | 543 | 1.0505 | - | - | - | - | - | - | - | +| 0.5545 | 544 | 0.8766 | - | - | - | - | - | - | - | +| 0.5556 | 545 | 0.6526 | - | - | - | - | - | - | - | +| 0.5566 | 546 | 0.5529 | - | - | - | - | - | - | - | +| 0.5576 | 547 | 0.4817 | - | - | - | - | - | - | - | +| 0.5586 | 548 | 0.4804 | - | - | - | - | - | - | - | +| 0.5596 | 549 | 0.4508 | - | - | - | - | - | - | - | +| 0.5607 | 550 | 0.4339 | - | - | - | - | - | - | - | +| 0.5617 | 551 | 0.712 | - | - | - | - | - | - | - | +| 0.5627 | 552 | 0.3974 | - | - | - | - | - | - | - | +| 0.5637 | 553 | 1.0016 | - | - | - | - | - | - | - | +| 0.5647 | 554 | 0.5751 | - | - | - | - | - | - | - | +| 0.5657 | 555 | 1.111 | - | - | - | - | - | - | - | +| 0.5668 | 556 | 0.4202 | - | - | - | - | - | - | - | +| 0.5678 | 557 | 0.7822 | - | - | - | - | - | - | - | +| 0.5688 | 558 | 1.3844 | - | - | - | - | - | - | - | +| 0.5698 | 559 | 0.3881 | - | - | - | - | - | - | - | +| 0.5708 | 560 | 0.6317 | - | - | - | - | - | - | - | +| 0.5719 | 561 | 0.4976 | - | - | - | - | - | - | - | +| 0.5729 | 562 | 0.2741 | - | - | - | - | - | - | - | +| 0.5739 | 563 | 0.6232 | - | - | - | - | - | - | - | +| 0.5749 | 564 | 0.2083 | - | - | - | - | - | - | - | +| 0.5759 | 565 | 1.0605 | - | - | - | - | - | - | - | +| 0.5770 | 566 | 1.2086 | - | - | - | - | - | - | - | +| 0.5780 | 567 | 0.2217 | - | - | - | - | - | - | - | +| 0.5790 | 568 | 0.4215 | - | - | - | - | - | - | - | +| 0.5800 | 569 | 0.663 | - | - | - | - | - | - | - | +| 0.5810 | 570 | 0.653 | - | - | - | - | - | - | - | +| 0.5821 | 571 | 0.6895 | - | - | - | - | - | - | - | +| 0.5831 | 572 | 1.1101 | - | - | - | - | - | - | - | +| 0.5841 | 573 | 1.2991 | - | - | - | - | - | - | - | +| 0.5851 | 574 | 0.4072 | - | - | - | - | - | - | - | +| 0.5861 | 575 | 1.169 | - | - | - | - | - | - | - | +| 0.5872 | 576 | 0.3374 | - | - | - | - | - | - | - | +| 0.5882 | 577 | 0.6785 | - | - | - | - | - | - | - | +| 0.5892 | 578 | 1.2757 | - | - | - | - | - | - | - | +| 0.5902 | 579 | 0.5899 | - | - | - | - | - | - | - | +| 0.5912 | 580 | 0.3389 | - | - | - | - | - | - | - | +| 0.5923 | 581 | 1.631 | - | - | - | - | - | - | - | +| 0.5933 | 582 | 1.3975 | - | - | - | - | - | - | - | +| 0.5943 | 583 | 0.4654 | - | - | - | - | - | - | - | +| 0.5953 | 584 | 0.56 | - | - | - | - | - | - | - | +| 0.5963 | 585 | 0.2282 | - | - | - | - | - | - | - | +| 0.5973 | 586 | 1.0754 | - | - | - | - | - | - | - | +| 0.5984 | 587 | 0.4411 | - | - | - | - | - | - | - | +| 0.5994 | 588 | 0.9243 | 0.3612 | 0.9172 | 0.9010 | 0.7322 | 0.7587 | 0.9375 | 0.9062 | +| 0.6004 | 589 | 0.3572 | - | - | - | - | - | - | - | +| 0.6014 | 590 | 0.6761 | - | - | - | - | - | - | - | +| 0.6024 | 591 | 0.5754 | - | - | - | - | - | - | - | +| 0.6035 | 592 | 0.3664 | - | - | - | - | - | - | - | +| 0.6045 | 593 | 0.5391 | - | - | - | - | - | - | - | +| 0.6055 | 594 | 0.518 | - | - | - | - | - | - | - | +| 0.6065 | 595 | 0.5263 | - | - | - | - | - | - | - | +| 0.6075 | 596 | 0.2995 | - | - | - | - | - | - | - | +| 0.6086 | 597 | 0.4181 | - | - | - | - | - | - | - | +| 0.6096 | 598 | 0.5087 | - | - | - | - | - | - | - | +| 0.6106 | 599 | 0.4344 | - | - | - | - | - | - | - | +| 0.6116 | 600 | 1.6529 | - | - | - | - | - | - | - | +| 0.6126 | 601 | 0.4079 | - | - | - | - | - | - | - | +| 0.6137 | 602 | 0.3123 | - | - | - | - | - | - | - | +| 0.6147 | 603 | 1.4398 | - | - | - | - | - | - | - | +| 0.6157 | 604 | 1.5553 | - | - | - | - | - | - | - | +| 0.6167 | 605 | 0.7958 | - | - | - | - | - | - | - | +| 0.6177 | 606 | 0.3815 | - | - | - | - | - | - | - | +| 0.6188 | 607 | 0.787 | - | - | - | - | - | - | - | +| 0.6198 | 608 | 0.2352 | - | - | - | - | - | - | - | +| 0.6208 | 609 | 0.6469 | - | - | - | - | - | - | - | +| 0.6218 | 610 | 1.0997 | - | - | - | - | - | - | - | +| 0.6228 | 611 | 0.8762 | - | - | - | - | - | - | - | +| 0.6239 | 612 | 0.6259 | - | - | - | - | - | - | - | +| 0.6249 | 613 | 0.8133 | - | - | - | - | - | - | - | +| 0.6259 | 614 | 1.2119 | - | - | - | - | - | - | - | +| 0.6269 | 615 | 0.5068 | - | - | - | - | - | - | - | +| 0.6279 | 616 | 0.7723 | - | - | - | - | - | - | - | +| 0.6290 | 617 | 1.0791 | - | - | - | - | - | - | - | +| 0.6300 | 618 | 0.348 | - | - | - | - | - | - | - | +| 0.6310 | 619 | 0.6523 | - | - | - | - | - | - | - | +| 0.6320 | 620 | 0.6241 | - | - | - | - | - | - | - | +| 0.6330 | 621 | 0.5039 | - | - | - | - | - | - | - | +| 0.6340 | 622 | 1.0113 | - | - | - | - | - | - | - | +| 0.6351 | 623 | 1.0527 | - | - | - | - | - | - | - | +| 0.6361 | 624 | 1.3893 | - | - | - | - | - | - | - | +| 0.6371 | 625 | 0.7191 | - | - | - | - | - | - | - | +| 0.6381 | 626 | 0.3591 | - | - | - | - | - | - | - | +| 0.6391 | 627 | 0.9856 | - | - | - | - | - | - | - | +| 0.6402 | 628 | 0.7603 | - | - | - | - | - | - | - | +| 0.6412 | 629 | 1.1553 | - | - | - | - | - | - | - | +| 0.6422 | 630 | 0.5608 | - | - | - | - | - | - | - | +| 0.6432 | 631 | 0.4338 | - | - | - | - | - | - | - | +| 0.6442 | 632 | 0.1376 | - | - | - | - | - | - | - | +| 0.6453 | 633 | 0.6539 | - | - | - | - | - | - | - | +| 0.6463 | 634 | 0.5017 | - | - | - | - | - | - | - | +| 0.6473 | 635 | 0.1888 | - | - | - | - | - | - | - | +| 0.6483 | 636 | 1.6077 | - | - | - | - | - | - | - | +| 0.6493 | 637 | 0.9635 | - | - | - | - | - | - | - | +| 0.6504 | 638 | 0.9786 | - | - | - | - | - | - | - | +| 0.6514 | 639 | 0.6728 | - | - | - | - | - | - | - | +| 0.6524 | 640 | 0.8592 | - | - | - | - | - | - | - | +| 0.6534 | 641 | 0.3945 | - | - | - | - | - | - | - | +| 0.6544 | 642 | 0.7486 | - | - | - | - | - | - | - | +| 0.6555 | 643 | 0.7793 | - | - | - | - | - | - | - | +| 0.6565 | 644 | 0.4401 | - | - | - | - | - | - | - | +| 0.6575 | 645 | 0.6189 | - | - | - | - | - | - | - | +| 0.6585 | 646 | 0.7339 | - | - | - | - | - | - | - | +| 0.6595 | 647 | 0.4089 | - | - | - | - | - | - | - | +| 0.6606 | 648 | 1.1412 | - | - | - | - | - | - | - | +| 0.6616 | 649 | 0.798 | - | - | - | - | - | - | - | +| 0.6626 | 650 | 1.0588 | - | - | - | - | - | - | - | +| 0.6636 | 651 | 0.9044 | - | - | - | - | - | - | - | +| 0.6646 | 652 | 0.4464 | - | - | - | - | - | - | - | +| 0.6656 | 653 | 0.2756 | - 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| - | - | - | - | - | +| 1.6565 | 1625 | 0.1439 | - | - | - | - | - | - | - | +| 1.6575 | 1626 | 0.4292 | - | - | - | - | - | - | - | +| 1.6585 | 1627 | 0.1736 | - | - | - | - | - | - | - | +| 1.6595 | 1628 | 0.5714 | - | - | - | - | - | - | - | +| 1.6606 | 1629 | 0.2066 | - | - | - | - | - | - | - | +| 1.6616 | 1630 | 0.3611 | - | - | - | - | - | - | - | +| 1.6626 | 1631 | 0.3273 | - | - | - | - | - | - | - | +| 1.6636 | 1632 | 0.1974 | - | - | - | - | - | - | - | +| 1.6646 | 1633 | 0.3644 | - | - | - | - | - | - | - | +| 1.6656 | 1634 | 0.4186 | - | - | - | - | - | - | - | +| 1.6667 | 1635 | 0.4829 | - | - | - | - | - | - | - | +| 1.6677 | 1636 | 0.3506 | - | - | - | - | - | - | - | +| 1.6687 | 1637 | 0.2133 | - | - | - | - | - | - | - | +| 1.6697 | 1638 | 0.4685 | - | - | - | - | - | - | - | +| 1.6707 | 1639 | 0.3484 | - | - | - | - | - | - | - | +| 1.6718 | 1640 | 0.6875 | - | - | - | - | - | - | - | +| 1.6728 | 1641 | 0.171 | - | - | - | - | - | - | - | +| 1.6738 | 1642 | 0.4644 | - | - | - | - | - | - | - | +| 1.6748 | 1643 | 0.2419 | - | - | - | - | - | - | - | +| 1.6758 | 1644 | 0.2566 | - | - | - | - | - | - | - | +| 1.6769 | 1645 | 0.125 | - | - | - | - | - | - | - | +| 1.6779 | 1646 | 0.5321 | - | - | - | - | - | - | - | +| 1.6789 | 1647 | 0.3017 | - | - | - | - | - | - | - | +| 1.6799 | 1648 | 0.7024 | - | - | - | - | - | - | - | +| 1.6809 | 1649 | 0.4489 | - | - | - | - | - | - | - | +| 1.6820 | 1650 | 0.3247 | - | - | - | - | - | - | - | +| 1.6830 | 1651 | 0.6301 | - | - | - | - | - | - | - | +| 1.6840 | 1652 | 0.52 | - | - | - | - | - | - | - | +| 1.6850 | 1653 | 0.7236 | - | - | - | - | - | - | - | +| 1.6860 | 1654 | 0.146 | - | - | - | - | - | - | - | +| 1.6871 | 1655 | 0.649 | - | - | - | - | - | - | - | +| 1.6881 | 1656 | 0.7242 | - | - | - | - | - | - | - | +| 1.6891 | 1657 | 0.3496 | - | - | - | - | - | - | - | +| 1.6901 | 1658 | 0.9688 | - | - | - | - | - | - | - | +| 1.6911 | 1659 | 0.7482 | - | - | - | - | - | - | - | +| 1.6922 | 1660 | 0.2365 | - | - | - | - | - | - | - | +| 1.6932 | 1661 | 0.1193 | - | - | - | - | - | - | - | +| 1.6942 | 1662 | 0.864 | - | - | - | - | - | - | - | +| 1.6952 | 1663 | 0.5214 | - | - | - | - | - | - | - | +| 1.6962 | 1664 | 0.5691 | - | - | - | - | - | - | - | +| 1.6972 | 1665 | 0.2645 | - | - | - | - | - | - | - | +| 1.6983 | 1666 | 0.1646 | 0.3525 | 0.9205 | 0.9112 | 0.7608 | 0.7241 | 0.9688 | 0.9583 | +| 1.6993 | 1667 | 0.1995 | - | - | - | - | - | - | - | +| 1.7003 | 1668 | 0.2672 | - | - | - | - | - | - | - | +| 1.7013 | 1669 | 0.3449 | - | - | - | - | - | - | - | +| 1.7023 | 1670 | 0.4137 | - | - | - | - | - | - | - | +| 1.7034 | 1671 | 0.2984 | - | - | - | - | - | - | - | +| 1.7044 | 1672 | 0.1743 | - | - | - | - | - | - | - | +| 1.7054 | 1673 | 0.2739 | - | - | - | - | - | - | - | +| 1.7064 | 1674 | 0.1755 | - | - | - | - | - | - | - | +| 1.7074 | 1675 | 0.5298 | - | - | - | - | - | - | - | +| 1.7085 | 1676 | 0.3842 | - | - | - | - | - | - | - | +| 1.7095 | 1677 | 0.1637 | - | - | - | - | - | - | - | +| 1.7105 | 1678 | 0.6203 | - | - | - | - | - | - | - | +| 1.7115 | 1679 | 0.1549 | - | - | - | - | - | - | - | +| 1.7125 | 1680 | 0.4458 | - | - | - | - | - | - | - | +| 1.7136 | 1681 | 0.4041 | - | - | - | - | - | - | - | +| 1.7146 | 1682 | 0.3155 | - | - | - | - | - | - | - | +| 1.7156 | 1683 | 0.1794 | - | - | - | - | - | - | - | +| 1.7166 | 1684 | 0.6088 | - | - | - | - | - | - | - | +| 1.7176 | 1685 | 0.3606 | - | - | - | - | - | - | - | +| 1.7187 | 1686 | 0.1251 | - | - | - | - | - | - | - | +| 1.7197 | 1687 | 0.2667 | - | - | - | - | - | - | - | +| 1.7207 | 1688 | 0.4352 | - | - | - | - | - | - | - | +| 1.7217 | 1689 | 0.6197 | - | - | - | - | - | - | - | +| 1.7227 | 1690 | 0.1889 | - | - | - | - | - | - | - | +| 1.7238 | 1691 | 0.1342 | - | - | - | - | - | - | - | +| 1.7248 | 1692 | 0.2149 | - | - | - | - | - | - | - | +| 1.7258 | 1693 | 0.5404 | - | - | - | - | - | - | - | +| 1.7268 | 1694 | 0.1522 | - | - | - | - | - | - | - | +| 1.7278 | 1695 | 0.2736 | - | - | - | - | - | - | - | +| 1.7288 | 1696 | 0.3062 | - | - | - | - | - | - | - | +| 1.7299 | 1697 | 0.4809 | - | - | - | - | - | - | - | +| 1.7309 | 1698 | 0.3985 | - | - | - | - | - | - | - | +| 1.7319 | 1699 | 0.3152 | - | - | - | - | - | - | - | +| 1.7329 | 1700 | 0.6119 | - | - | - | - | - | - | - | +| 1.7339 | 1701 | 0.3004 | - | - | - | - | - | - | - | +| 1.7350 | 1702 | 0.7715 | - | - | - | - | - | - | - | +| 1.7360 | 1703 | 0.3693 | - | - | - | - | - | - | - | +| 1.7370 | 1704 | 0.546 | - | - | - | - | - | - | - | +| 1.7380 | 1705 | 0.6736 | - | - | - | - | - | - | - | +| 1.7390 | 1706 | 0.2598 | - | - | - | - | - | - | - | +| 1.7401 | 1707 | 0.1398 | - | - | - | - | - | - | - | +| 1.7411 | 1708 | 0.379 | - | - | - | - | - | - | - | +| 1.7421 | 1709 | 0.5142 | - | - | - | - | - | - | - | +| 1.7431 | 1710 | 0.3975 | - | - | - | - | - | - | - | +| 1.7441 | 1711 | 0.3153 | - | - | - | - | - | - | - | +| 1.7452 | 1712 | 0.8402 | - | - | - | - | - | - | - | +| 1.7462 | 1713 | 0.4639 | - | - | - | - | - | - | - | +| 1.7472 | 1714 | 0.5627 | - | - | - | - | - | - | - | +| 1.7482 | 1715 | 0.4902 | - | - | - | - | - | - | - | +| 1.7492 | 1716 | 0.6778 | - | - | - | - | - | - | - | +| 1.7503 | 1717 | 0.4115 | - | - | - | - | - | - | - | +| 1.7513 | 1718 | 0.1016 | - | - | - | - | - | - | - | +| 1.7523 | 1719 | 0.2225 | - | - | - | - | - | - | - | +| 1.7533 | 1720 | 0.3715 | - | - | - | - | - | - | - | +| 1.7543 | 1721 | 0.7597 | - | - | - | - | - | - | - | +| 1.7554 | 1722 | 0.2513 | - | - | - | - | - | - | - | +| 1.7564 | 1723 | 0.6002 | - | - | - | - | - | - | - | +| 1.7574 | 1724 | 0.1624 | - | - | - | - | - | - | - | +| 1.7584 | 1725 | 0.286 | - | - | - | - | - | - | - | +| 1.7594 | 1726 | 0.206 | - | - | - | - | - | - | - | +| 1.7604 | 1727 | 0.211 | - | - | - | - | - | - | - | +| 1.7615 | 1728 | 0.3425 | - | - | - | - | - | - | - | +| 1.7625 | 1729 | 0.5059 | - | - | - | - | - | - | - | +| 1.7635 | 1730 | 0.5656 | - | - | - | - | - | - | - | +| 1.7645 | 1731 | 0.4599 | - | - | - | - | - | - | - | +| 1.7655 | 1732 | 0.2513 | - | - | - | - | - | - | - | +| 1.7666 | 1733 | 0.5087 | - | - | - | - | - | - | - | +| 1.7676 | 1734 | 0.4029 | - | - | - | - | - | - | - | +| 1.7686 | 1735 | 0.1634 | - | - | - | - | - | - | - | +| 1.7696 | 1736 | 0.3575 | - | - | - | - | - | - | - | +| 1.7706 | 1737 | 0.2304 | - | - | - | - | - | - | - | +| 1.7717 | 1738 | 0.2056 | - | - | - | - | - | - | - | +| 1.7727 | 1739 | 0.5025 | - | - | - | - | - | - | - | +| 1.7737 | 1740 | 0.355 | - | - | - | - | - | - | - | +| 1.7747 | 1741 | 0.2275 | - | - | - | - | - | - | - | +| 1.7757 | 1742 | 0.2257 | - | - | - | - | - | - | - | +| 1.7768 | 1743 | 0.2303 | - | - | - | - | - | - | - | +| 1.7778 | 1744 | 0.5247 | - | - | - | - | - | - | - | +| 1.7788 | 1745 | 0.2173 | - | - | - | - | - | - | - | +| 1.7798 | 1746 | 0.4443 | - | - | - | - | - | - | - | +| 1.7808 | 1747 | 0.569 | - | - | - | - | - | - | - | +| 1.7819 | 1748 | 0.3075 | - | - | - | - | - | - | - | +| 1.7829 | 1749 | 0.3494 | - | - | - | - | - | - | - | +| 1.7839 | 1750 | 0.4004 | - | - | - | - | - | - | - | +| 1.7849 | 1751 | 0.1982 | - | - | - | - | - | - | - | +| 1.7859 | 1752 | 0.4556 | - | - | - | - | - | - | - | +| 1.7870 | 1753 | 0.4251 | - | - | - | - | - | - | - | +| 1.7880 | 1754 | 0.1181 | - | - | - | - | - | - | - | +| 1.7890 | 1755 | 0.5456 | - | - | - | - | - | - | - | +| 1.7900 | 1756 | 0.379 | - | - | - | - | - | - | - | +| 1.7910 | 1757 | 0.2473 | - | - | - | - | - | - | - | +| 1.7920 | 1758 | 0.2603 | - | - | - | - | - | - | - | +| 1.7931 | 1759 | 0.5655 | - | - | - | - | - | - | - | +| 1.7941 | 1760 | 0.5536 | - | - | - | - | - | - | - | +| 1.7951 | 1761 | 0.645 | - | - | - | - | - | - | - | +| 1.7961 | 1762 | 0.4652 | - | - | - | - | - | - | - | +| 1.7971 | 1763 | 0.4776 | - | - | - | - | - | - | - | +| 1.7982 | 1764 | 0.1951 | 0.2895 | 0.9209 | 0.9061 | 0.7628 | 0.7495 | 0.9688 | 0.9479 | +| 1.7992 | 1765 | 0.2023 | - | - | - | - | - | - | - | +| 1.8002 | 1766 | 0.6349 | - | - | - | - | - | - | - | +| 1.8012 | 1767 | 0.2479 | - | - | - | - | - | - | - | +| 1.8022 | 1768 | 0.7766 | - | - | - | - | - | - | - | +| 1.8033 | 1769 | 0.2044 | - | - | - | - | - | - | - | +| 1.8043 | 1770 | 0.2323 | - | - | - | - | - | - | - | +| 1.8053 | 1771 | 0.242 | - | - | - | - | - | - | - | +| 1.8063 | 1772 | 0.2719 | - | - | - | - | - | - | - | +| 1.8073 | 1773 | 0.2921 | - | - | - | - | - | - | - | +| 1.8084 | 1774 | 0.3284 | - | - | - | - | - | - | - | +| 1.8094 | 1775 | 1.0605 | - | - | - | - | - | - | - | +| 1.8104 | 1776 | 0.291 | - | - | - | - | - | - | - | +| 1.8114 | 1777 | 0.2033 | - | - | - | - | - | - | - | +| 1.8124 | 1778 | 0.2328 | - | - | - | - | - | - | - | +| 1.8135 | 1779 | 0.4924 | - | - | - | - | - | - | - | +| 1.8145 | 1780 | 0.3924 | - | - | - | - | - | - | - | +| 1.8155 | 1781 | 0.6327 | - | - | - | - | - | - | - | +| 1.8165 | 1782 | 0.1877 | - | - | - | - | - | - | - | +| 1.8175 | 1783 | 0.1135 | - | - | - | - | - | - | - | +| 1.8186 | 1784 | 0.3404 | - | - | - | - | - | - | - | +| 1.8196 | 1785 | 0.2669 | - | - | - | - | - | - | - | +| 1.8206 | 1786 | 0.5143 | - | - | - | - | - | - | - | +| 1.8216 | 1787 | 0.3719 | - | - | - | - | - | - | - | +| 1.8226 | 1788 | 0.3536 | - | - | - | - | - | - | - | +| 1.8236 | 1789 | 0.2735 | - | - | - | - | - | - | - | +| 1.8247 | 1790 | 0.1971 | - | - | - | - | - | - | - | +| 1.8257 | 1791 | 0.4326 | - | - | - | - | - | - | - | +| 1.8267 | 1792 | 0.0688 | - | - | - | - | - | - | - | +| 1.8277 | 1793 | 0.2317 | - | - | - | - | - | - | - | +| 1.8287 | 1794 | 0.3941 | - | - | - | - | - | - | - | +| 1.8298 | 1795 | 0.3326 | - | - | - | - | - | - | - | +| 1.8308 | 1796 | 0.2981 | - | - | - | - | - | - | - | +| 1.8318 | 1797 | 0.4302 | - | - | - | - | - | - | - | +| 1.8328 | 1798 | 0.1922 | - | - | - | - | - | - | - | +| 1.8338 | 1799 | 0.6065 | - | - | - | - | - | - | - | +| 1.8349 | 1800 | 0.7834 | - | - | - | - | - | - | - | +| 1.8359 | 1801 | 0.521 | - | - | - | - | - | - | - | +| 1.8369 | 1802 | 0.3919 | - | - | - | - | - | - | - | +| 1.8379 | 1803 | 0.303 | - | - | - | - | - | - | - | +| 1.8389 | 1804 | 0.4616 | - | - | - | - | - | - | - | +| 1.8400 | 1805 | 0.5165 | - | - | - | - | - | - | - | +| 1.8410 | 1806 | 0.1552 | - | - | - | - | - | - | - | +| 1.8420 | 1807 | 0.2466 | - | - | - | - | - | - | - | +| 1.8430 | 1808 | 0.5846 | - | - | - | - | - | - | - | +| 1.8440 | 1809 | 0.4507 | - | - | - | - | - | - | - | +| 1.8451 | 1810 | 0.2341 | - | - | - | - | - | - | - | +| 1.8461 | 1811 | 0.1863 | - | - | - | - | - | - | - | +| 1.8471 | 1812 | 0.2505 | - | - | - | - | - | - | - | +| 1.8481 | 1813 | 0.2833 | - | - | - | - | - | - | - | +| 1.8491 | 1814 | 0.3884 | - | - | - | - | - | - | - | +| 1.8502 | 1815 | 0.8776 | - | - | - | - | - | - | - | +| 1.8512 | 1816 | 0.4291 | - | - | - | - | - | - | - | +| 1.8522 | 1817 | 0.3203 | - | - | - | - | - | - | - | +| 1.8532 | 1818 | 0.3705 | - | - | - | - | - | - | - | +| 1.8542 | 1819 | 0.6378 | - | - | - | - | - | - | - | +| 1.8552 | 1820 | 1.005 | - | - | - | - | - | - | - | +| 1.8563 | 1821 | 0.4776 | - | - | - | - | - | - | - | +| 1.8573 | 1822 | 0.4999 | - | - | - | - | - | - | - | +| 1.8583 | 1823 | 0.2922 | - | - | - | - | - | - | - | +| 1.8593 | 1824 | 0.4653 | - | - | - | - | - | - | - | +| 1.8603 | 1825 | 0.3264 | - | - | - | - | - | - | - | +| 1.8614 | 1826 | 0.5453 | - | - | - | - | - | - | - | +| 1.8624 | 1827 | 1.0997 | - | - | - | - | - | - | - | +| 1.8634 | 1828 | 0.5142 | - | - | - | - | - | - | - | +| 1.8644 | 1829 | 0.1527 | - | - | - | - | - | - | - | +| 1.8654 | 1830 | 0.2184 | - | - | - | - | - | - | - | +| 1.8665 | 1831 | 0.3838 | - | - | - | - | - | - | - | +| 1.8675 | 1832 | 0.4265 | - | - | - | - | - | - | - | +| 1.8685 | 1833 | 0.5124 | - | - | - | - | - | - | - | +| 1.8695 | 1834 | 0.1508 | - | - | - | - | - | - | - | +| 1.8705 | 1835 | 0.2766 | - | - | - | - | - | - | - | +| 1.8716 | 1836 | 0.5235 | - | - | - | - | - | - | - | +| 1.8726 | 1837 | 0.2394 | - | - | - | - | - | - | - | +| 1.8736 | 1838 | 0.326 | - | - | - | - | - | - | - | +| 1.8746 | 1839 | 0.3008 | - | - | - | - | - | - | - | +| 1.8756 | 1840 | 0.1525 | - | - | - | - | - | - | - | +| 1.8767 | 1841 | 0.39 | - | - | - | - | - | - | - | +| 1.8777 | 1842 | 0.0774 | - | - | - | - | - | - | - | +| 1.8787 | 1843 | 0.2674 | - | - | - | - | - | - | - | +| 1.8797 | 1844 | 0.1116 | - | - | - | - | - | - | - | +| 1.8807 | 1845 | 0.4234 | - | - | - | - | - | - | - | +| 1.8818 | 1846 | 0.8432 | - | - | - | - | - | - | - | +| 1.8828 | 1847 | 0.3522 | - | - | - | - | - | - | - | +| 1.8838 | 1848 | 0.1858 | - | - | - | - | - | - | - | +| 1.8848 | 1849 | 0.2835 | - | - | - | - | - | - | - | +| 1.8858 | 1850 | 0.7738 | - | - | - | - | - | - | - | +| 1.8869 | 1851 | 0.1524 | - | - | - | - | - | - | - | +| 1.8879 | 1852 | 0.7539 | - | - | - | - | - | - | - | +| 1.8889 | 1853 | 0.5166 | - | - | - | - | - | - | - | +| 1.8899 | 1854 | 0.2346 | - | - | - | - | - | - | - | +| 1.8909 | 1855 | 0.2003 | - | - | - | - | - | - | - | +| 1.8919 | 1856 | 0.7549 | - | - | - | - | - | - | - | +| 1.8930 | 1857 | 0.1809 | - | - | - | - | - | - | - | +| 1.8940 | 1858 | 0.6533 | - | - | - | - | - | - | - | +| 1.8950 | 1859 | 0.1845 | - | - | - | - | - | - | - | +| 1.8960 | 1860 | 0.3156 | - | - | - | - | - | - | - | +| 1.8970 | 1861 | 0.5856 | - | - | - | - | - | - | - | +| 1.8981 | 1862 | 0.1409 | 0.3164 | 0.9205 | 0.9095 | 0.7630 | 0.7655 | 0.9688 | 0.9479 | +| 1.8991 | 1863 | 0.3773 | - | - | - | - | - | - | - | +| 1.9001 | 1864 | 0.8936 | - | - | - | - | - | - | - | +| 1.9011 | 1865 | 0.3592 | - | - | - | - | - | - | - | +| 1.9021 | 1866 | 0.2913 | - | - | - | - | - | - | - | +| 1.9032 | 1867 | 0.436 | - | - | - | - | - | - | - | +| 1.9042 | 1868 | 0.4502 | - | - | - | - | - | - | - | +| 1.9052 | 1869 | 0.2545 | - | - | - | - | - | - | - | +| 1.9062 | 1870 | 0.1539 | - | - | - | - | - | - | - | +| 1.9072 | 1871 | 0.4734 | - | - | - | - | - | - | - | +| 1.9083 | 1872 | 0.1828 | - | - | - | - | - | - | - | +| 1.9093 | 1873 | 0.3154 | - | - | - | - | - | - | - | +| 1.9103 | 1874 | 0.2951 | - | - | - | - | - | - | - | +| 1.9113 | 1875 | 0.3063 | - | - | - | - | - | - | - | +| 1.9123 | 1876 | 0.4556 | - | - | - | - | - | - | - | +| 1.9134 | 1877 | 0.4327 | - | - | - | - | - | - | - | +| 1.9144 | 1878 | 0.5985 | - | - | - | - | - | - | - | +| 1.9154 | 1879 | 0.1853 | - | - | - | - | - | - | - | +| 1.9164 | 1880 | 0.2905 | - | - | - | - | - | - | - | +| 1.9174 | 1881 | 0.19 | - | - | - | - | - | - | - | +| 1.9185 | 1882 | 0.1926 | - | - | - | - | - | - | - | +| 1.9195 | 1883 | 0.291 | - | - | - | - | - | - | - | +| 1.9205 | 1884 | 0.6064 | - | - | - | - | - | - | - | +| 1.9215 | 1885 | 0.6472 | - | - | - | - | - | - | - | +| 1.9225 | 1886 | 0.2575 | - | - | - | - | - | - | - | +| 1.9235 | 1887 | 0.4679 | - | - | - | - | - | - | - | +| 1.9246 | 1888 | 0.1591 | - | - | - | - | - | - | - | +| 1.9256 | 1889 | 0.4278 | - | - | - | - | - | - | - | +| 1.9266 | 1890 | 0.1457 | - | - | - | - | - | - | - | +| 1.9276 | 1891 | 0.3107 | - | - | - | - | - | - | - | +| 1.9286 | 1892 | 0.3369 | - | - | - | - | - | - | - | +| 1.9297 | 1893 | 0.4062 | - | - | - | - | - | - | - | +| 1.9307 | 1894 | 0.3265 | - | - | - | - | - | - | - | +| 1.9317 | 1895 | 0.6488 | - | - | - | - | - | - | - | +| 1.9327 | 1896 | 0.5861 | - | - | - | - | - | - | - | +| 1.9337 | 1897 | 0.2017 | - | - | - | - | - | - | - | +| 1.9348 | 1898 | 0.275 | - | - | - | - | - | - | - | +| 1.9358 | 1899 | 0.2694 | - | - | - | - | - | - | - | +| 1.9368 | 1900 | 0.1678 | - | - | - | - | - | - | - | +| 1.9378 | 1901 | 0.2412 | - | - | - | - | - | - | - | +| 1.9388 | 1902 | 0.6276 | - | - | - | - | - | - | - | +| 1.9399 | 1903 | 0.1367 | - | - | - | - | - | - | - | +| 1.9409 | 1904 | 0.551 | - | - | - | - | - | - | - | +| 1.9419 | 1905 | 0.3431 | - | - | - | - | - | - | - | +| 1.9429 | 1906 | 0.2006 | - | - | - | - | - | - | - | +| 1.9439 | 1907 | 0.4514 | - | - | - | - | - | - | - | +| 1.9450 | 1908 | 0.232 | - | - | - | - | - | - | - | +| 1.9460 | 1909 | 0.7087 | - | - | - | - | - | - | - | +| 1.9470 | 1910 | 0.3232 | - | - | - | - | - | - | - | +| 1.9480 | 1911 | 0.142 | - | - | - | - | - | - | - | +| 1.9490 | 1912 | 0.1597 | - | - | - | - | - | - | - | +| 1.9501 | 1913 | 0.2134 | - | - | - | - | - | - | - | +| 1.9511 | 1914 | 0.5582 | - | - | - | - | - | - | - | +| 1.9521 | 1915 | 0.184 | - | - | - | - | - | - | - | +| 1.9531 | 1916 | 0.5319 | - | - | - | - | - | - | - | +| 1.9541 | 1917 | 0.2426 | - | - | - | - | - | - | - | +| 1.9551 | 1918 | 0.3149 | - | - | - | - | - | - | - | +| 1.9562 | 1919 | 0.281 | - | - | - | - | - | - | - | +| 1.9572 | 1920 | 0.2779 | - | - | - | - | - | - | - | +| 1.9582 | 1921 | 0.3821 | - | - | - | - | - | - | - | +| 1.9592 | 1922 | 0.5121 | - | - | - | - | - | - | - | +| 1.9602 | 1923 | 0.2637 | - | - | - | - | - | - | - | +| 1.9613 | 1924 | 0.8175 | - | - | - | - | - | - | - | +| 1.9623 | 1925 | 0.3914 | - | - | - | - | - | - | - | +| 1.9633 | 1926 | 0.1444 | - | - | - | - | - | - | - | +| 1.9643 | 1927 | 0.141 | - | - | - | - | - | - | - | +| 1.9653 | 1928 | 0.291 | - | - | - | - | - | - | - | +| 1.9664 | 1929 | 0.211 | - | - | - | - | - | - | - | +| 1.9674 | 1930 | 0.3455 | - | - | - | - | - | - | - | +| 1.9684 | 1931 | 0.1692 | - | - | - | - | - | - | - | +| 1.9694 | 1932 | 0.8896 | - | - | - | - | - | - | - | +| 1.9704 | 1933 | 0.5577 | - | - | - | - | - | - | - | +| 1.9715 | 1934 | 0.4554 | - | - | - | - | - | - | - | +| 1.9725 | 1935 | 0.1784 | - | - | - | - | - | - | - | +| 1.9735 | 1936 | 0.2751 | - | - | - | - | - | - | - | +| 1.9745 | 1937 | 0.3531 | - | - | - | - | - | - | - | +| 1.9755 | 1938 | 0.6773 | - | - | - | - | - | - | - | +| 1.9766 | 1939 | 0.2948 | - | - | - | - | - | - | - | +| 1.9776 | 1940 | 0.4181 | - | - | - | - | - | - | - | +| 1.9786 | 1941 | 0.7386 | - | - | - | - | - | - | - | +| 1.9796 | 1942 | 0.2926 | - | - | - | - | - | - | - | +| 1.9806 | 1943 | 0.2158 | - | - | - | - | - | - | - | +| 1.9817 | 1944 | 0.6198 | - | - | - | - | - | - | - | + +
+ +### Framework Versions +- Python: 3.11.11 +- Sentence Transformers: 4.1.0 +- Transformers: 4.51.1 +- PyTorch: 2.5.1+cu124 +- Accelerate: 1.3.0 +- Datasets: 3.5.0 +- Tokenizers: 0.21.0 + +## 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", +} +``` + +#### Matryoshka2dLoss +```bibtex +@misc{li20242d, + title={2D Matryoshka Sentence Embeddings}, + author={Xianming Li and Zongxi Li and Jing Li and Haoran Xie and Qing Li}, + year={2024}, + eprint={2402.14776}, + archivePrefix={arXiv}, + primaryClass={cs.CL} +} +``` + +#### MatryoshkaLoss +```bibtex +@misc{kusupati2024matryoshka, + title={Matryoshka Representation Learning}, + author={Aditya Kusupati and Gantavya Bhatt and Aniket Rege and Matthew Wallingford and Aditya Sinha and Vivek Ramanujan and William Howard-Snyder and Kaifeng Chen and Sham Kakade and Prateek Jain and Ali Farhadi}, + year={2024}, + eprint={2205.13147}, + archivePrefix={arXiv}, + primaryClass={cs.LG} +} +``` + +#### 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