metadata

language:
  - tr
tags:
  - sentence-transformers
  - sentence-similarity
  - feature-extraction
  - generated_from_trainer
  - dataset_size:9623924
  - loss:MSELoss
base_model: BAAI/bge-m3
widget:
  - source_sentence: >-
      Ak Hunlar'ın kültürel etkileşimleri ve mirasları hakkında ne
      söyleyebiliriz? Ak Hunlar'ın diğer kültürler üzerindeki etkileri ve izleri
      nelerdir?
    sentences:
      - Film, hangi oyun yazarının hayatını konu almaktadır?
      - Bir Eskişehir-Afyonkarahisar tren yolculuğu ne kadar sürmektedir?
      - >-
        Mektupta, Türkiye'nin adaya tek taraflı müdahalesinin Türk ve Yunan
        tarafları arasında savaşa yol açabileceği ve NATO üyesi olan bu iki
        ülkenin savaşmasının kabul edilemez olduğu ifade edilmiştir. Türkiye'nin
        müdahale kararı almadan önce müttefiklerine danışması gerektiği
        anımsatılmıştır. Ayrıca bu savaşın Sovyetler Birliği'nin de Türkiye'ye
        müdahale ihtimalini doğuracağı ve NATO'nun böyle bir durumda Türkiye'yi
        savunma konusunda isteksiz olacağı ima edilmiştir. ABD'nin Türkiye'ye
        sağladığı askeri malzemenin bu müdahalede kullanılmasına izin
        verilmeyeceği belirtilmiştir. Mektubun ardından Türkiye müdahale
        kararından vazgeçmiştir. İsmet İnönü 21 Haziran 1964'te ABD'ye giderek
        başkan Johnson ile bir görüşmede bulunmuştur.
  - source_sentence: >-
      Evet, metinde teslimiyetçilik, edilgenlik veya boyun eğme olarak da
      tanımlanmaktadır.
    sentences:
      - Cezary Kucharski'nin doğduğu tarih nedir?
      - >-
        Beylerbeyi Camii, 2013 yılında yapılan restorasyon çalışmaları
        sonrasında ne durumda?
      - >-
        İkinci Dünya Savaşı esnasında ve sonrasında elektroniklerin doğasından
        kaynaklanan birçok güvenilir olmama durumu ve ürün yorgunluğu gündeme
        geldi. 1945'te M.A. Miner, ASME (Amerikan Makine Mühendisleri Topluluğu)
        Dergisi içerisinde "Yorulma Esnasında Birikimli Hasar" adında taslak bir
        yazı paylaştı. Ordu için uygulanan ilk güvenilirlik hususu, Radar
        Sistemleri ve diğer elektronik parçalarda kullanılan, yine güvenilirlik
        analizi sayesinde kanıtlanmış, oldukça arıza çıkarmaya yatkın ve
        maliyetli bir vakum silindiri idi. Elektrik ve Elektronik Mühendisleri
        Enstitüsü, 1948 yılında Güvenilirlik Topluluğunu kurmuştur. 1950 yılı
        içerisinde, asker tarafında, Elektronik Ekipman Güvenilirliği Tavsiye
        Grubu kurulmuştur. Bu grup, 3 ana çalışma yolu tavsiye etmiştir. Bunlar:

         Parça güvenilirliğinin arttırılması,
         Tedarikçiler için kalite ve güvenilirlik gereksinimlerinin tanımlanması,
         Saha verilerinin toplanması ve kök analiz yapılması.
  - source_sentence: >-
      Belgrad'ın ele geçirilmesinde Klingenberg'in rolü nedir ve bu olay nasıl
      gerçekleşti?
    sentences:
      - Jimmy White ve Peter Ebdon.
      - >-
        DualSense kontrolörünün titreşim özelliği hakkında detaylı bilgi verir
        misiniz?
      - |-
        Kozluk, Kocaeli ilinin İzmit ilçesine bağlı bir mahalledir.

        Nüfus

        Kaynakça 

        İzmit'in mahalleleri
  - source_sentence: >-
      1996 yılında kurulmuştur. Ağırlıklı olarak standart caz repertuvarından
      parçalar sunmuşlardır.
    sentences:
      - San Leucio'nun coğrafi konumu hakkında bilgi verir misiniz?
      - Kinik felsefesinin öncüsüdür.
      - >-
        Aydın Doğu Demirkol'un vizyona girmesi planlanan sinema filmleri
        nelerdir ve yönetmenleri kimlerdir?
  - source_sentence: >-
      Serbest pazar prensiplerinin varlıklı ve yoksul futbol kulüpleri
      arasındaki farkı büyütmesine yönelik kaygılar nedeniyle bu durum
      önemlidir.
    sentences:
      - >-
        Yazar, 12 Mart baskınlarının ve işkencelerinin sonucunda, ideolojik
        kimlikleriyle küçük burjuva kimlikleri arasında çelişkiye düşen
        devrimcilerin rejime boyun eğmelerini gösterme çabasındadır.
      - >-
        Verilen kesin süre 

        içinde şikayetçi tarafından ilgili masraflar yatırıldığından PTT’ce söz
        konusu 

        keşfa.va.nsınıngeri önd.e-rilmesi sonucu talimat 

        mahkemesince keşf yapılmamış ise de burada şikayetçiye atfedilebilecek
        bir kusur 

        bulunmadığından, keşif avansının ilgili mahkemeye tekrar gönderilerek
        keşfin 

        yapılmasının sağlanarak oluşacak sonuca göre bir karar verilmesi
        gerekir.
      - >-
        This Kind of Bird Flies Backwards (Bu Cins Kuş Tersten Uçar) adlı ilk
        kitabı, LeRoy Jones ve Hettie Jones'un kurduğu Totem Press tarafından
        1958 yılında yayınlandı.
datasets:
  - altaidevorg/tr-sentences
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics:
  - pearson_cosine
  - spearman_cosine
  - negative_mse
model-index:
  - name: SentenceTransformer based on BAAI/bge-m3
    results:
      - task:
          type: semantic-similarity
          name: Semantic Similarity
        dataset:
          name: sts dev
          type: sts-dev
        metrics:
          - type: pearson_cosine
            value: 0.9691269661048901
            name: Pearson Cosine
          - type: spearman_cosine
            value: 0.9650087926361528
            name: Spearman Cosine
      - task:
          type: knowledge-distillation
          name: Knowledge Distillation
        dataset:
          name: Unknown
          type: unknown
        metrics:
          - type: negative_mse
            value: -0.006388394831446931
            name: Negative Mse
      - task:
          type: semantic-similarity
          name: Semantic Similarity
        dataset:
          name: sts test
          type: sts-test
        metrics:
          - type: pearson_cosine
            value: 0.9691398285942048
            name: Pearson Cosine
          - type: spearman_cosine
            value: 0.9650683134098942
            name: Spearman Cosine

SentenceTransformer based on BAAI/bge-m3

This is a sentence-transformers model finetuned from BAAI/bge-m3 on the tr-sentences dataset. It maps sentences & paragraphs to a 1024-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
Maximum Sequence Length: 8192 tokens
Output Dimensionality: 1024 dimensions
Similarity Function: Cosine Similarity
Training Dataset:
- tr-sentences
Language: tr

Model Sources

Documentation: Sentence Transformers Documentation
Repository: Sentence Transformers on GitHub
Hugging Face: Sentence Transformers on Hugging Face

Full Model Architecture

SentenceTransformer(
  (0): Transformer({'max_seq_length': 8192, 'do_lower_case': False}) with Transformer model: XLMRobertaModel 
  (1): Pooling({'word_embedding_dimension': 1024, '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()
)

Usage

Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

pip install -U sentence-transformers

Then you can load this model and run inference.

from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("sentence_transformers_model_id")
# Run inference
sentences = [
    'Serbest pazar prensiplerinin varlıklı ve yoksul futbol kulüpleri arasındaki farkı büyütmesine yönelik kaygılar nedeniyle bu durum önemlidir.',
    'Yazar, 12 Mart baskınlarının ve işkencelerinin sonucunda, ideolojik kimlikleriyle küçük burjuva kimlikleri arasında çelişkiye düşen devrimcilerin rejime boyun eğmelerini gösterme çabasındadır.',
    "This Kind of Bird Flies Backwards (Bu Cins Kuş Tersten Uçar) adlı ilk kitabı, LeRoy Jones ve Hettie Jones'un kurduğu Totem Press tarafından 1958 yılında yayınlandı.",
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 1024]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]

Evaluation

Metrics

Semantic Similarity

Datasets: sts-dev and sts-test
Evaluated with EmbeddingSimilarityEvaluator

Metric	sts-dev	sts-test
pearson_cosine	0.9691	0.9691
spearman_cosine	0.965	0.9651

Knowledge Distillation

Evaluated with MSEEvaluator

Metric	Value
negative_mse	-0.0064

Training Details

Training Dataset

tr-sentences

Dataset: tr-sentences at f5ebc52
Size: 9,623,924 training samples
Columns: sentence and label
Approximate statistics based on the first 1000 samples:
sentence label
type string list
details
min: 5 tokens
mean: 55.78 tokens
max: 468 tokens

size: 1024 elements

	sentence	label
type	string	list
details	min: 5 tokens mean: 55.78 tokens max: 468 tokens	size: 1024 elements

Samples:

sentence	label
`NBA tarihinde bu ödülü en çok kaç kez kim kazanmıştır?`	`[-0.027497457340359688, -0.024517377838492393, -0.013820995576679707, 0.00024465256137773395, -0.020534219220280647, ...]`
Romero ve yapımcı Richard P. Rubinstein, yeni bir proje için herhangi bir yerli yatırımcılara temin koyamadıklarını söyledi. Romero Şans eseri, İtalyan korku yönetmeni Dario Argento'ya ulaştı. bu film Yaşayan Ölülerin Gecesi filmin'in kritik savunucusudur, Argento filmin korku klasik arasında yer almasına yardımcı olmak için istekliydi. uluslararası dağıtım hakları karşılığında finansman sağlamak için, Romero ve Rubinstein bir araya geldi. Senaryoyu yazarken bir sahnede değişiklik yapmak için Argento Roma'yı Romero filme davet etti. İkisi de daha sonra arsa gelişmelerini tartışmak için bir olabilirdi. Romero Monroeville Mall'ın durumunun yanı sıra Oxford Kalkınma'da alışveriş merkezi sahipleri ile bağlantıları ile ek bir güvenli finansman başardı. Döküm tamamlandıktan sonra, başlıca çekim tarihinin 13 Kasım, 1977 tarihinde film'in Pensilvanya'da başlaması planlanıyordu.	`[-0.02431895025074482, -0.03177526593208313, -0.010546382516622543, 0.0393124595284462, -0.03390512242913246, ...]`
`Evet, Nasuhlar ismi Adapazarı, Kandıra ve Yenipazar ilçelerinde farklı yer isimlerine aittir.`	`[0.0020795632153749466, -0.013080586679279804, -0.018256550654768944, 0.022429518401622772, -0.03087380714714527, ...]`

Loss: MSELoss

Evaluation Dataset

tr-sentences

Dataset: tr-sentences at f5ebc52
Size: 9,623,924 evaluation samples
Columns: sentence and label
Approximate statistics based on the first 1000 samples:
sentence label
type string list
details
min: 3 tokens
mean: 51.95 tokens
max: 614 tokens

size: 1024 elements

	sentence	label
type	string	list
details	min: 3 tokens mean: 51.95 tokens max: 614 tokens	size: 1024 elements

Samples:

sentence	label
`Bernhard, şiirle yazarlık hayatına başlamış ve 1963'te "Frost" (Don) adlı ilk romanını yayınlamıştır. 1957'den itibaren serbest yazarlık yapmaya başlamış ve hayatı boyunca yazarlık sayesinde geçimini sağlamıştır.`	`[-0.019921669736504555, -0.007309767417609692, 0.01690034568309784, -0.03302725777029991, -0.003539217868819833, ...]`
Sonraki maçta AJ Styles ile Kevin Owens, WWE Birleşik Devletler Şampiyonluğu kemeri için maça çıktı. Shane McMahon, maçın özel konuk hakemliğini yaptı. As Shane, Owens'ı kontrol etti. Styles, Owens'a Springboard 450 Splash yapmaya çalışırken yanlışlıkla Shane'e de yaptı. Owens, Styles'a Pop Up Powerbomb yaptıktan sonra Styles'ı tuşlamaya çalıştı ancak Styles son anda kurtuldu. Owens, Shane'in kararını beğenmeyince ikisi arasında kısa süreli bir tartışma oldu. Owens, Styles'ın Calf Crusher hareketini karşıladıktan sonra Styles'tan tekme yiyince Shane'in üzerine düştü. Styles, Owens'ı Calf Crusher ile pes ettirse de ringin dışında aşağıda yatan Shane bunu göremedi. Bunun üzerine Styles da Shane ile tartıştı. Styles, Owens'a Styles Clash yaptıktan sonra tuşa gitti ancak Owens son anda kurtuldu. Owens'ın yaptığı Pop Up Powerbomb'dan sonra Styles'ı tuşladı ancak Shane son anda Styles'ın ayağının iplerde olduğunu fark edince tuşu iptal etti. Owens ve Shane tartışmaya başladı ve Shane,	`[0.04532943293452263, -0.007217255420982838, -0.019380981102585793, -0.0026675150729715824, 0.018997980281710625, ...]`
`Leylek yavruları, anne ve babaları tarafından yiyip kısmen sindirdikleri besinleri kusarak beslenirler. Anne leylek yavruları yağmur, fırtına ve güneşten korurken, baba leylek yavrularını beslemekle yükümlüdür.`	`[-0.055585864931344986, 0.045432090759277344, -0.04405859857797623, 0.0009241091320291162, -0.0689476728439331, ...]`

Loss: MSELoss

Training Hyperparameters

Non-Default Hyperparameters

eval_strategy: steps
per_device_train_batch_size: 32
per_device_eval_batch_size: 32
learning_rate: 0.0001
num_train_epochs: 1
warmup_ratio: 0.1
bf16: True
load_best_model_at_end: True

All Hyperparameters

Click to expand

overwrite_output_dir: False
do_predict: False
eval_strategy: steps
prediction_loss_only: True
per_device_train_batch_size: 32
per_device_eval_batch_size: 32
per_gpu_train_batch_size: None
per_gpu_eval_batch_size: None
gradient_accumulation_steps: 1
eval_accumulation_steps: None
torch_empty_cache_steps: None
learning_rate: 0.0001
weight_decay: 0.0
adam_beta1: 0.9
adam_beta2: 0.999
adam_epsilon: 1e-08
max_grad_norm: 1.0
num_train_epochs: 1
max_steps: -1
lr_scheduler_type: linear
lr_scheduler_kwargs: {}
warmup_ratio: 0.1
warmup_steps: 0
log_level: passive
log_level_replica: warning
log_on_each_node: True
logging_nan_inf_filter: True
save_safetensors: True
save_on_each_node: False
save_only_model: False
restore_callback_states_from_checkpoint: False
no_cuda: False
use_cpu: False
use_mps_device: False
seed: 42
data_seed: None
jit_mode_eval: False
use_ipex: False
bf16: True
fp16: False
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: True
ignore_data_skip: False
fsdp: []
fsdp_min_num_params: 0
fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
fsdp_transformer_layer_cls_to_wrap: None
accelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
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: False
resume_from_checkpoint: None
hub_model_id: None
hub_strategy: every_save
hub_private_repo: None
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
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
use_liger_kernel: False
eval_use_gather_object: False
average_tokens_across_devices: False
prompts: None
batch_sampler: batch_sampler
multi_dataset_batch_sampler: proportional

Training Logs

Click to expand

Epoch	Step	Training Loss	Validation Loss	sts-dev_spearman_cosine	negative_mse	sts-test_spearman_cosine
0	0	-	-	0.0074	-0.1913	-
0.0017	500	-	0.0009	0.3279	-0.0860	-
0.0033	1000	0.001	0.0007	0.5478	-0.0651	-
0.0050	1500	-	0.0006	0.6221	-0.0573	-
0.0067	2000	0.0007	0.0005	0.6635	-0.0523	-
0.0083	2500	-	0.0005	0.6916	-0.0485	-
0.0100	3000	0.0006	0.0005	0.7148	-0.0455	-
0.0117	3500	-	0.0004	0.7319	-0.0429	-
0.0133	4000	0.0005	0.0004	0.7485	-0.0406	-
0.0150	4500	-	0.0004	0.7622	-0.0385	-
0.0167	5000	0.0005	0.0004	0.7722	-0.0368	-
0.0183	5500	-	0.0004	0.7856	-0.0352	-
0.0200	6000	0.0004	0.0003	0.7999	-0.0336	-
0.0217	6500	-	0.0003	0.8074	-0.0323	-
0.0233	7000	0.0004	0.0003	0.8155	-0.0311	-
0.0250	7500	-	0.0003	0.8237	-0.0299	-
0.0267	8000	0.0004	0.0003	0.8308	-0.0289	-
0.0283	8500	-	0.0003	0.8322	-0.0280	-
0.0300	9000	0.0004	0.0003	0.8409	-0.0270	-
0.0317	9500	-	0.0003	0.8446	-0.0262	-
0.0333	10000	0.0003	0.0003	0.8513	-0.0254	-
0.0350	10500	-	0.0002	0.8519	-0.0247	-
0.0367	11000	0.0003	0.0002	0.8591	-0.0240	-
0.0383	11500	-	0.0002	0.8623	-0.0233	-
0.0400	12000	0.0003	0.0002	0.8674	-0.0228	-
0.0416	12500	-	0.0002	0.8659	-0.0222	-
0.0433	13000	0.0003	0.0002	0.8724	-0.0215	-
0.0450	13500	-	0.0002	0.8725	-0.0212	-
0.0466	14000	0.0003	0.0002	0.8793	-0.0206	-
0.0483	14500	-	0.0002	0.8834	-0.0202	-
0.0500	15000	0.0003	0.0002	0.8817	-0.0197	-
0.0516	15500	-	0.0002	0.8860	-0.0194	-
0.0533	16000	0.0003	0.0002	0.8842	-0.0188	-
0.0550	16500	-	0.0002	0.8893	-0.0185	-
0.0566	17000	0.0002	0.0002	0.8880	-0.0181	-
0.0583	17500	-	0.0002	0.8932	-0.0179	-
0.0600	18000	0.0002	0.0002	0.8913	-0.0176	-
0.0616	18500	-	0.0002	0.8963	-0.0172	-
0.0633	19000	0.0002	0.0002	0.8915	-0.0170	-
0.0650	19500	-	0.0002	0.8969	-0.0167	-
0.0666	20000	0.0002	0.0002	0.8984	-0.0165	-
0.0683	20500	-	0.0002	0.9021	-0.0162	-
0.0700	21000	0.0002	0.0002	0.9027	-0.0160	-
0.0716	21500	-	0.0002	0.9018	-0.0158	-
0.0733	22000	0.0002	0.0002	0.9043	-0.0156	-
0.0750	22500	-	0.0002	0.9028	-0.0154	-
0.0766	23000	0.0002	0.0002	0.9024	-0.0153	-
0.0783	23500	-	0.0002	0.9049	-0.0152	-
0.0800	24000	0.0002	0.0001	0.9087	-0.0150	-
0.0816	24500	-	0.0001	0.9079	-0.0148	-
0.0833	25000	0.0002	0.0001	0.9080	-0.0147	-
0.0850	25500	-	0.0001	0.9096	-0.0145	-
0.0866	26000	0.0002	0.0001	0.9061	-0.0145	-
0.0883	26500	-	0.0001	0.9098	-0.0143	-
0.0900	27000	0.0002	0.0001	0.9122	-0.0142	-
0.0916	27500	-	0.0001	0.9131	-0.0140	-
0.0933	28000	0.0002	0.0001	0.9114	-0.0139	-
0.0950	28500	-	0.0001	0.9126	-0.0139	-
0.0966	29000	0.0002	0.0001	0.9163	-0.0138	-
0.0983	29500	-	0.0001	0.9140	-0.0137	-
0.1000	30000	0.0002	0.0001	0.9141	-0.0136	-
0.1016	30500	-	0.0001	0.9163	-0.0135	-
0.1033	31000	0.0002	0.0001	0.9159	-0.0135	-
0.1050	31500	-	0.0001	0.9153	-0.0132	-
0.1066	32000	0.0002	0.0001	0.9194	-0.0131	-
0.1083	32500	-	0.0001	0.9203	-0.0131	-
0.1100	33000	0.0002	0.0001	0.9187	-0.0129	-
0.1116	33500	-	0.0001	0.9218	-0.0129	-
0.1133	34000	0.0002	0.0001	0.9204	-0.0127	-
0.1150	34500	-	0.0001	0.9216	-0.0127	-
0.1166	35000	0.0002	0.0001	0.9232	-0.0125	-
0.1183	35500	-	0.0001	0.9212	-0.0125	-
0.1200	36000	0.0002	0.0001	0.9227	-0.0125	-
0.1216	36500	-	0.0001	0.9233	-0.0124	-
0.1233	37000	0.0002	0.0001	0.9261	-0.0123	-
0.1249	37500	-	0.0001	0.9256	-0.0122	-
0.1266	38000	0.0002	0.0001	0.9273	-0.0121	-
0.1283	38500	-	0.0001	0.9274	-0.0120	-
0.1299	39000	0.0002	0.0001	0.9273	-0.0119	-
0.1316	39500	-	0.0001	0.9287	-0.0119	-
0.1333	40000	0.0002	0.0001	0.9266	-0.0118	-
0.1349	40500	-	0.0001	0.9283	-0.0118	-
0.1366	41000	0.0002	0.0001	0.9307	-0.0117	-
0.1383	41500	-	0.0001	0.9277	-0.0117	-
0.1399	42000	0.0002	0.0001	0.9281	-0.0115	-
0.1416	42500	-	0.0001	0.9299	-0.0115	-
0.1433	43000	0.0002	0.0001	0.9306	-0.0115	-
0.1449	43500	-	0.0001	0.9301	-0.0114	-
0.1466	44000	0.0002	0.0001	0.9302	-0.0114	-
0.1483	44500	-	0.0001	0.9321	-0.0114	-
0.1499	45000	0.0002	0.0001	0.9320	-0.0113	-
0.1516	45500	-	0.0001	0.9333	-0.0112	-
0.1533	46000	0.0002	0.0001	0.9343	-0.0111	-
0.1549	46500	-	0.0001	0.9315	-0.0111	-
0.1566	47000	0.0002	0.0001	0.9326	-0.0111	-
0.1583	47500	-	0.0001	0.9324	-0.0110	-
0.1599	48000	0.0001	0.0001	0.9362	-0.0110	-
0.1616	48500	-	0.0001	0.9370	-0.0109	-
0.1633	49000	0.0001	0.0001	0.9348	-0.0109	-
0.1649	49500	-	0.0001	0.9352	-0.0108	-
0.1666	50000	0.0001	0.0001	0.9364	-0.0107	-
0.1683	50500	-	0.0001	0.9351	-0.0107	-
0.1699	51000	0.0001	0.0001	0.9372	-0.0108	-
0.1716	51500	-	0.0001	0.9357	-0.0108	-
0.1733	52000	0.0001	0.0001	0.9384	-0.0106	-
0.1749	52500	-	0.0001	0.9366	-0.0106	-
0.1766	53000	0.0001	0.0001	0.9375	-0.0106	-
0.1783	53500	-	0.0001	0.9381	-0.0105	-
0.1799	54000	0.0001	0.0001	0.9382	-0.0105	-
0.1816	54500	-	0.0001	0.9368	-0.0106	-
0.1833	55000	0.0001	0.0001	0.9383	-0.0105	-
0.1849	55500	-	0.0001	0.9393	-0.0104	-
0.1866	56000	0.0001	0.0001	0.9383	-0.0104	-
0.1883	56500	-	0.0001	0.9397	-0.0104	-
0.1899	57000	0.0001	0.0001	0.9404	-0.0103	-
0.1916	57500	-	0.0001	0.9378	-0.0103	-
0.1933	58000	0.0001	0.0001	0.9379	-0.0103	-
0.1949	58500	-	0.0001	0.9397	-0.0102	-
0.1966	59000	0.0001	0.0001	0.9406	-0.0102	-
0.1983	59500	-	0.0001	0.9402	-0.0102	-
0.1999	60000	0.0001	0.0001	0.9408	-0.0101	-
0.2016	60500	-	0.0001	0.9410	-0.0101	-
0.2033	61000	0.0001	0.0001	0.9409	-0.0101	-
0.2049	61500	-	0.0001	0.9405	-0.0101	-
0.2066	62000	0.0001	0.0001	0.9424	-0.0100	-
0.2082	62500	-	0.0001	0.9378	-0.0101	-
0.2099	63000	0.0001	0.0001	0.9408	-0.0099	-
0.2116	63500	-	0.0001	0.9404	-0.0100	-
0.2132	64000	0.0001	0.0001	0.9397	-0.0099	-
0.2149	64500	-	0.0001	0.9411	-0.0099	-
0.2166	65000	0.0001	0.0001	0.9401	-0.0099	-
0.2182	65500	-	0.0001	0.9415	-0.0098	-
0.2199	66000	0.0001	0.0001	0.9413	-0.0098	-
0.2216	66500	-	0.0001	0.9417	-0.0098	-
0.2232	67000	0.0001	0.0001	0.9411	-0.0097	-
0.2249	67500	-	0.0001	0.9423	-0.0097	-
0.2266	68000	0.0001	0.0001	0.9424	-0.0097	-
0.2282	68500	-	0.0001	0.9424	-0.0098	-
0.2299	69000	0.0001	0.0001	0.9439	-0.0096	-
0.2316	69500	-	0.0001	0.9423	-0.0097	-
0.2332	70000	0.0001	0.0001	0.9420	-0.0096	-
0.2349	70500	-	0.0001	0.9429	-0.0096	-
0.2366	71000	0.0001	0.0001	0.9440	-0.0096	-
0.2382	71500	-	0.0001	0.9425	-0.0096	-
0.2399	72000	0.0001	0.0001	0.9438	-0.0096	-
0.2416	72500	-	0.0001	0.9442	-0.0095	-
0.2432	73000	0.0001	0.0001	0.9451	-0.0095	-
0.2449	73500	-	0.0001	0.9432	-0.0095	-
0.2466	74000	0.0001	0.0001	0.9441	-0.0095	-
0.2482	74500	-	0.0001	0.9442	-0.0094	-
0.2499	75000	0.0001	0.0001	0.9436	-0.0094	-
0.2516	75500	-	0.0001	0.9450	-0.0094	-
0.2532	76000	0.0001	0.0001	0.9455	-0.0094	-
0.2549	76500	-	0.0001	0.9439	-0.0094	-
0.2566	77000	0.0001	0.0001	0.9444	-0.0094	-
0.2582	77500	-	0.0001	0.9449	-0.0093	-
0.2599	78000	0.0001	0.0001	0.9444	-0.0093	-
0.2616	78500	-	0.0001	0.9454	-0.0093	-
0.2632	79000	0.0001	0.0001	0.9452	-0.0093	-
0.2649	79500	-	0.0001	0.9465	-0.0093	-
0.2666	80000	0.0001	0.0001	0.9450	-0.0093	-
0.2682	80500	-	0.0001	0.9467	-0.0092	-
0.2699	81000	0.0001	0.0001	0.9470	-0.0092	-
0.2716	81500	-	0.0001	0.9447	-0.0092	-
0.2732	82000	0.0001	0.0001	0.9477	-0.0092	-
0.2749	82500	-	0.0001	0.9442	-0.0092	-
0.2766	83000	0.0001	0.0001	0.9482	-0.0091	-
0.2782	83500	-	0.0001	0.9475	-0.0091	-
0.2799	84000	0.0001	0.0001	0.9451	-0.0091	-
0.2816	84500	-	0.0001	0.9471	-0.0091	-
0.2832	85000	0.0001	0.0001	0.9470	-0.0090	-
0.2849	85500	-	0.0001	0.9468	-0.0091	-
0.2865	86000	0.0001	0.0001	0.9464	-0.0090	-
0.2882	86500	-	0.0001	0.9482	-0.0090	-
0.2899	87000	0.0001	0.0001	0.9466	-0.0090	-
0.2915	87500	-	0.0001	0.9474	-0.0090	-
0.2932	88000	0.0001	0.0001	0.9476	-0.0090	-
0.2949	88500	-	0.0001	0.9480	-0.0089	-
0.2965	89000	0.0001	0.0001	0.9489	-0.0090	-
0.2982	89500	-	0.0001	0.9475	-0.0089	-
0.2999	90000	0.0001	0.0001	0.9483	-0.0089	-
0.3015	90500	-	0.0001	0.9478	-0.0089	-
0.3032	91000	0.0001	0.0001	0.9471	-0.0090	-
0.3049	91500	-	0.0001	0.9470	-0.0089	-
0.3065	92000	0.0001	0.0001	0.9472	-0.0089	-
0.3082	92500	-	0.0001	0.9485	-0.0089	-
0.3099	93000	0.0001	0.0001	0.9468	-0.0089	-
0.3115	93500	-	0.0001	0.9484	-0.0088	-
0.3132	94000	0.0001	0.0001	0.9482	-0.0088	-
0.3149	94500	-	0.0001	0.9503	-0.0088	-
0.3165	95000	0.0001	0.0001	0.9485	-0.0088	-
0.3182	95500	-	0.0001	0.9509	-0.0087	-
0.3199	96000	0.0001	0.0001	0.9492	-0.0088	-
0.3215	96500	-	0.0001	0.9488	-0.0087	-
0.3232	97000	0.0001	0.0001	0.9500	-0.0087	-
0.3249	97500	-	0.0001	0.9495	-0.0087	-
0.3265	98000	0.0001	0.0001	0.9499	-0.0087	-
0.3282	98500	-	0.0001	0.9496	-0.0087	-
0.3299	99000	0.0001	0.0001	0.9493	-0.0087	-
0.3315	99500	-	0.0001	0.9497	-0.0087	-
0.3332	100000	0.0001	0.0001	0.9511	-0.0086	-
0.3349	100500	-	0.0001	0.9508	-0.0086	-
0.3365	101000	0.0001	0.0001	0.9502	-0.0086	-
0.3382	101500	-	0.0001	0.9488	-0.0087	-
0.3399	102000	0.0001	0.0001	0.9505	-0.0086	-
0.3415	102500	-	0.0001	0.9497	-0.0086	-
0.3432	103000	0.0001	0.0001	0.9500	-0.0085	-
0.3449	103500	-	0.0001	0.9497	-0.0086	-
0.3465	104000	0.0001	0.0001	0.9521	-0.0085	-
0.3482	104500	-	0.0001	0.9499	-0.0085	-
0.3499	105000	0.0001	0.0001	0.9488	-0.0085	-
0.3515	105500	-	0.0001	0.9490	-0.0085	-
0.3532	106000	0.0001	0.0001	0.9503	-0.0085	-
0.3549	106500	-	0.0001	0.9504	-0.0085	-
0.3565	107000	0.0001	0.0001	0.9503	-0.0085	-
0.3582	107500	-	0.0001	0.9514	-0.0085	-
0.3599	108000	0.0001	0.0001	0.9509	-0.0084	-
0.3615	108500	-	0.0001	0.9513	-0.0084	-
0.3632	109000	0.0001	0.0001	0.9512	-0.0084	-
0.3649	109500	-	0.0001	0.9515	-0.0084	-
0.3665	110000	0.0001	0.0001	0.9509	-0.0084	-
0.3682	110500	-	0.0001	0.9495	-0.0084	-
0.3698	111000	0.0001	0.0001	0.9507	-0.0084	-
0.3715	111500	-	0.0001	0.9512	-0.0083	-
0.3732	112000	0.0001	0.0001	0.9519	-0.0084	-
0.3748	112500	-	0.0001	0.9512	-0.0084	-
0.3765	113000	0.0001	0.0001	0.9511	-0.0083	-
0.3782	113500	-	0.0001	0.9513	-0.0083	-
0.3798	114000	0.0001	0.0001	0.9512	-0.0084	-
0.3815	114500	-	0.0001	0.9501	-0.0083	-
0.3832	115000	0.0001	0.0001	0.9515	-0.0083	-
0.3848	115500	-	0.0001	0.9526	-0.0083	-
0.3865	116000	0.0001	0.0001	0.9518	-0.0083	-
0.3882	116500	-	0.0001	0.9521	-0.0083	-
0.3898	117000	0.0001	0.0001	0.9515	-0.0083	-
0.3915	117500	-	0.0001	0.9515	-0.0083	-
0.3932	118000	0.0001	0.0001	0.9530	-0.0082	-
0.3948	118500	-	0.0001	0.9533	-0.0082	-
0.3965	119000	0.0001	0.0001	0.9523	-0.0082	-
0.3982	119500	-	0.0001	0.9520	-0.0082	-
0.3998	120000	0.0001	0.0001	0.9511	-0.0082	-
0.4015	120500	-	0.0001	0.9530	-0.0083	-
0.4032	121000	0.0001	0.0001	0.9525	-0.0082	-
0.4048	121500	-	0.0001	0.9526	-0.0082	-
0.4065	122000	0.0001	0.0001	0.9527	-0.0082	-
0.4082	122500	-	0.0001	0.9522	-0.0082	-
0.4098	123000	0.0001	0.0001	0.9535	-0.0081	-
0.4115	123500	-	0.0001	0.9527	-0.0081	-
0.4132	124000	0.0001	0.0001	0.9530	-0.0082	-
0.4148	124500	-	0.0001	0.9520	-0.0082	-
0.4165	125000	0.0001	0.0001	0.9526	-0.0081	-
0.4182	125500	-	0.0001	0.9528	-0.0081	-
0.4198	126000	0.0001	0.0001	0.9535	-0.0081	-
0.4215	126500	-	0.0001	0.9530	-0.0081	-
0.4232	127000	0.0001	0.0001	0.9539	-0.0081	-
0.4248	127500	-	0.0001	0.9531	-0.0081	-
0.4265	128000	0.0001	0.0001	0.9540	-0.0081	-
0.4282	128500	-	0.0001	0.9534	-0.0081	-
0.4298	129000	0.0001	0.0001	0.9536	-0.0080	-
0.4315	129500	-	0.0001	0.9536	-0.0081	-
0.4332	130000	0.0001	0.0001	0.9547	-0.0080	-
0.4348	130500	-	0.0001	0.9535	-0.0080	-
0.4365	131000	0.0001	0.0001	0.9541	-0.0080	-
0.4382	131500	-	0.0001	0.9542	-0.0080	-
0.4398	132000	0.0001	0.0001	0.9540	-0.0080	-
0.4415	132500	-	0.0001	0.9537	-0.0080	-
0.4432	133000	0.0001	0.0001	0.9538	-0.0080	-
0.4448	133500	-	0.0001	0.9540	-0.0079	-
0.4465	134000	0.0001	0.0001	0.9540	-0.0080	-
0.4481	134500	-	0.0001	0.9544	-0.0080	-
0.4498	135000	0.0001	0.0001	0.9535	-0.0079	-
0.4515	135500	-	0.0001	0.9541	-0.0079	-
0.4531	136000	0.0001	0.0001	0.9546	-0.0079	-
0.4548	136500	-	0.0001	0.9543	-0.0079	-
0.4565	137000	0.0001	0.0001	0.9548	-0.0079	-
0.4581	137500	-	0.0001	0.9555	-0.0079	-
0.4598	138000	0.0001	0.0001	0.9548	-0.0079	-
0.4615	138500	-	0.0001	0.9542	-0.0079	-
0.4631	139000	0.0001	0.0001	0.9548	-0.0079	-
0.4648	139500	-	0.0001	0.9544	-0.0079	-
0.4665	140000	0.0001	0.0001	0.9546	-0.0079	-
0.4681	140500	-	0.0001	0.9553	-0.0078	-
0.4698	141000	0.0001	0.0001	0.9542	-0.0078	-
0.4715	141500	-	0.0001	0.9553	-0.0078	-
0.4731	142000	0.0001	0.0001	0.9548	-0.0079	-
0.4748	142500	-	0.0001	0.9545	-0.0078	-
0.4765	143000	0.0001	0.0001	0.9553	-0.0079	-
0.4781	143500	-	0.0001	0.9561	-0.0078	-
0.4798	144000	0.0001	0.0001	0.9551	-0.0078	-
0.4815	144500	-	0.0001	0.9550	-0.0078	-
0.4831	145000	0.0001	0.0001	0.9557	-0.0078	-
0.4848	145500	-	0.0001	0.9557	-0.0077	-
0.4865	146000	0.0001	0.0001	0.9552	-0.0077	-
0.4881	146500	-	0.0001	0.9553	-0.0078	-
0.4898	147000	0.0001	0.0001	0.9555	-0.0077	-
0.4915	147500	-	0.0001	0.9561	-0.0077	-
0.4931	148000	0.0001	0.0001	0.9558	-0.0077	-
0.4948	148500	-	0.0001	0.9558	-0.0077	-
0.4965	149000	0.0001	0.0001	0.9560	-0.0077	-
0.4981	149500	-	0.0001	0.9558	-0.0077	-
0.4998	150000	0.0001	0.0001	0.9553	-0.0077	-
0.5015	150500	-	0.0001	0.9557	-0.0077	-
0.5031	151000	0.0001	0.0001	0.9562	-0.0077	-
0.5048	151500	-	0.0001	0.9558	-0.0077	-
0.5065	152000	0.0001	0.0001	0.9553	-0.0077	-
0.5081	152500	-	0.0001	0.9553	-0.0076	-
0.5098	153000	0.0001	0.0001	0.9559	-0.0077	-
0.5115	153500	-	0.0001	0.9560	-0.0076	-
0.5131	154000	0.0001	0.0001	0.9557	-0.0076	-
0.5148	154500	-	0.0001	0.9563	-0.0076	-
0.5165	155000	0.0001	0.0001	0.9567	-0.0076	-
0.5181	155500	-	0.0001	0.9559	-0.0076	-
0.5198	156000	0.0001	0.0001	0.9565	-0.0076	-
0.5215	156500	-	0.0001	0.9563	-0.0076	-
0.5231	157000	0.0001	0.0001	0.9569	-0.0076	-
0.5248	157500	-	0.0001	0.9571	-0.0076	-
0.5265	158000	0.0001	0.0001	0.9560	-0.0076	-
0.5281	158500	-	0.0001	0.9562	-0.0076	-
0.5298	159000	0.0001	0.0001	0.9569	-0.0076	-
0.5314	159500	-	0.0001	0.9556	-0.0076	-
0.5331	160000	0.0001	0.0001	0.9560	-0.0075	-
0.5348	160500	-	0.0001	0.9555	-0.0075	-
0.5364	161000	0.0001	0.0001	0.9555	-0.0076	-
0.5381	161500	-	0.0001	0.9564	-0.0075	-
0.5398	162000	0.0001	0.0001	0.9574	-0.0076	-
0.5414	162500	-	0.0001	0.9569	-0.0075	-
0.5431	163000	0.0001	0.0001	0.9578	-0.0075	-
0.5448	163500	-	0.0001	0.9571	-0.0075	-
0.5464	164000	0.0001	0.0001	0.9578	-0.0075	-
0.5481	164500	-	0.0001	0.9580	-0.0075	-
0.5498	165000	0.0001	0.0001	0.9568	-0.0075	-
0.5514	165500	-	0.0001	0.9582	-0.0075	-
0.5531	166000	0.0001	0.0001	0.9578	-0.0075	-
0.5548	166500	-	0.0001	0.9569	-0.0075	-
0.5564	167000	0.0001	0.0001	0.9568	-0.0075	-
0.5581	167500	-	0.0001	0.9576	-0.0075	-
0.5598	168000	0.0001	0.0001	0.9581	-0.0075	-
0.5614	168500	-	0.0001	0.9581	-0.0075	-
0.5631	169000	0.0001	0.0001	0.9573	-0.0075	-
0.5648	169500	-	0.0001	0.9581	-0.0074	-
0.5664	170000	0.0001	0.0001	0.9568	-0.0074	-
0.5681	170500	-	0.0001	0.9573	-0.0075	-
0.5698	171000	0.0001	0.0001	0.9579	-0.0074	-
0.5714	171500	-	0.0001	0.9578	-0.0074	-
0.5731	172000	0.0001	0.0001	0.9581	-0.0074	-
0.5748	172500	-	0.0001	0.9567	-0.0074	-
0.5764	173000	0.0001	0.0001	0.9581	-0.0074	-
0.5781	173500	-	0.0001	0.9584	-0.0074	-
0.5798	174000	0.0001	0.0001	0.9585	-0.0074	-
0.5814	174500	-	0.0001	0.9583	-0.0074	-
0.5831	175000	0.0001	0.0001	0.9590	-0.0074	-
0.5848	175500	-	0.0001	0.9580	-0.0074	-
0.5864	176000	0.0001	0.0001	0.9580	-0.0073	-
0.5881	176500	-	0.0001	0.9584	-0.0073	-
0.5898	177000	0.0001	0.0001	0.9591	-0.0074	-
0.5914	177500	-	0.0001	0.9592	-0.0073	-
0.5931	178000	0.0001	0.0001	0.9582	-0.0073	-
0.5948	178500	-	0.0001	0.9585	-0.0073	-
0.5964	179000	0.0001	0.0001	0.9590	-0.0074	-
0.5981	179500	-	0.0001	0.9586	-0.0073	-
0.5998	180000	0.0001	0.0001	0.9588	-0.0073	-
0.6014	180500	-	0.0001	0.9584	-0.0073	-
0.6031	181000	0.0001	0.0001	0.9588	-0.0073	-
0.6048	181500	-	0.0001	0.9581	-0.0073	-
0.6064	182000	0.0001	0.0001	0.9585	-0.0073	-
0.6081	182500	-	0.0001	0.9588	-0.0073	-
0.6098	183000	0.0001	0.0001	0.9589	-0.0073	-
0.6114	183500	-	0.0001	0.9590	-0.0073	-
0.6131	184000	0.0001	0.0001	0.9592	-0.0073	-
0.6147	184500	-	0.0001	0.9585	-0.0072	-
0.6164	185000	0.0001	0.0001	0.9591	-0.0073	-
0.6181	185500	-	0.0001	0.9581	-0.0072	-
0.6197	186000	0.0001	0.0001	0.9583	-0.0072	-
0.6214	186500	-	0.0001	0.9592	-0.0072	-
0.6231	187000	0.0001	0.0001	0.9594	-0.0072	-
0.6247	187500	-	0.0001	0.9596	-0.0072	-
0.6264	188000	0.0001	0.0001	0.9599	-0.0072	-
0.6281	188500	-	0.0001	0.9598	-0.0072	-
0.6297	189000	0.0001	0.0001	0.9597	-0.0072	-
0.6314	189500	-	0.0001	0.9596	-0.0072	-
0.6331	190000	0.0001	0.0001	0.9603	-0.0072	-
0.6347	190500	-	0.0001	0.9600	-0.0072	-
0.6364	191000	0.0001	0.0001	0.9591	-0.0072	-
0.6381	191500	-	0.0001	0.9590	-0.0072	-
0.6397	192000	0.0001	0.0001	0.9586	-0.0072	-
0.6414	192500	-	0.0001	0.9591	-0.0072	-
0.6431	193000	0.0001	0.0001	0.9595	-0.0072	-
0.6447	193500	-	0.0001	0.9599	-0.0071	-
0.6464	194000	0.0001	0.0001	0.9598	-0.0072	-
0.6481	194500	-	0.0001	0.9591	-0.0072	-
0.6497	195000	0.0001	0.0001	0.9589	-0.0071	-
0.6514	195500	-	0.0001	0.9597	-0.0071	-
0.6531	196000	0.0001	0.0001	0.9596	-0.0071	-
0.6547	196500	-	0.0001	0.9602	-0.0071	-
0.6564	197000	0.0001	0.0001	0.9598	-0.0071	-
0.6581	197500	-	0.0001	0.9599	-0.0071	-
0.6597	198000	0.0001	0.0001	0.9602	-0.0071	-
0.6614	198500	-	0.0001	0.9604	-0.0071	-
0.6631	199000	0.0001	0.0001	0.9601	-0.0071	-
0.6647	199500	-	0.0001	0.9606	-0.0071	-
0.6664	200000	0.0001	0.0001	0.9598	-0.0071	-
0.6681	200500	-	0.0001	0.9601	-0.0071	-
0.6697	201000	0.0001	0.0001	0.9599	-0.0071	-
0.6714	201500	-	0.0001	0.9602	-0.0071	-
0.6731	202000	0.0001	0.0001	0.9595	-0.0071	-
0.6747	202500	-	0.0001	0.9607	-0.0071	-
0.6764	203000	0.0001	0.0001	0.9607	-0.0071	-
0.6781	203500	-	0.0001	0.9603	-0.0071	-
0.6797	204000	0.0001	0.0001	0.9612	-0.0070	-
0.6814	204500	-	0.0001	0.9605	-0.0071	-
0.6831	205000	0.0001	0.0001	0.9611	-0.0070	-
0.6847	205500	-	0.0001	0.9607	-0.0070	-
0.6864	206000	0.0001	0.0001	0.9601	-0.0070	-
0.6881	206500	-	0.0001	0.9606	-0.0070	-
0.6897	207000	0.0001	0.0001	0.9601	-0.0070	-
0.6914	207500	-	0.0001	0.9611	-0.0070	-
0.6930	208000	0.0001	0.0001	0.9613	-0.0070	-
0.6947	208500	-	0.0001	0.9607	-0.0070	-
0.6964	209000	0.0001	0.0001	0.9605	-0.0070	-
0.6980	209500	-	0.0001	0.9611	-0.0070	-
0.6997	210000	0.0001	0.0001	0.9604	-0.0070	-
0.7014	210500	-	0.0001	0.9609	-0.0070	-
0.7030	211000	0.0001	0.0001	0.9611	-0.0070	-
0.7047	211500	-	0.0001	0.9611	-0.0070	-
0.7064	212000	0.0001	0.0001	0.9612	-0.0070	-
0.7080	212500	-	0.0001	0.9610	-0.0070	-
0.7097	213000	0.0001	0.0001	0.9614	-0.0070	-
0.7114	213500	-	0.0001	0.9613	-0.0069	-
0.7130	214000	0.0001	0.0001	0.9619	-0.0070	-
0.7147	214500	-	0.0001	0.9612	-0.0070	-
0.7164	215000	0.0001	0.0001	0.9615	-0.0069	-
0.7180	215500	-	0.0001	0.9614	-0.0069	-
0.7197	216000	0.0001	0.0001	0.9614	-0.0070	-
0.7214	216500	-	0.0001	0.9613	-0.0069	-
0.7230	217000	0.0001	0.0001	0.9612	-0.0069	-
0.7247	217500	-	0.0001	0.9608	-0.0069	-
0.7264	218000	0.0001	0.0001	0.9619	-0.0069	-
0.7280	218500	-	0.0001	0.9612	-0.0069	-
0.7297	219000	0.0001	0.0001	0.9613	-0.0069	-
0.7314	219500	-	0.0001	0.9617	-0.0069	-
0.7330	220000	0.0001	0.0001	0.9620	-0.0069	-
0.7347	220500	-	0.0001	0.9621	-0.0069	-
0.7364	221000	0.0001	0.0001	0.9616	-0.0069	-
0.7380	221500	-	0.0001	0.9622	-0.0069	-
0.7397	222000	0.0001	0.0001	0.9620	-0.0069	-
0.7414	222500	-	0.0001	0.9612	-0.0069	-
0.7430	223000	0.0001	0.0001	0.9615	-0.0069	-
0.7447	223500	-	0.0001	0.9615	-0.0069	-
0.7464	224000	0.0001	0.0001	0.9621	-0.0069	-
0.7480	224500	-	0.0001	0.9622	-0.0068	-
0.7497	225000	0.0001	0.0001	0.9616	-0.0069	-
0.7514	225500	-	0.0001	0.9616	-0.0069	-
0.7530	226000	0.0001	0.0001	0.9614	-0.0069	-
0.7547	226500	-	0.0001	0.9614	-0.0069	-
0.7564	227000	0.0001	0.0001	0.9614	-0.0068	-
0.7580	227500	-	0.0001	0.9613	-0.0069	-
0.7597	228000	0.0001	0.0001	0.9620	-0.0068	-
0.7614	228500	-	0.0001	0.9616	-0.0068	-
0.7630	229000	0.0001	0.0001	0.9621	-0.0068	-
0.7647	229500	-	0.0001	0.9620	-0.0069	-
0.7664	230000	0.0001	0.0001	0.9618	-0.0068	-
0.7680	230500	-	0.0001	0.9616	-0.0068	-
0.7697	231000	0.0001	0.0001	0.9624	-0.0068	-
0.7714	231500	-	0.0001	0.9618	-0.0068	-
0.7730	232000	0.0001	0.0001	0.9621	-0.0068	-
0.7747	232500	-	0.0001	0.9618	-0.0068	-
0.7763	233000	0.0001	0.0001	0.9617	-0.0068	-
0.7780	233500	-	0.0001	0.9620	-0.0068	-
0.7797	234000	0.0001	0.0001	0.9620	-0.0068	-
0.7813	234500	-	0.0001	0.9624	-0.0068	-
0.7830	235000	0.0001	0.0001	0.9624	-0.0068	-
0.7847	235500	-	0.0001	0.9624	-0.0068	-
0.7863	236000	0.0001	0.0001	0.9627	-0.0068	-
0.7880	236500	-	0.0001	0.9620	-0.0068	-
0.7897	237000	0.0001	0.0001	0.9626	-0.0068	-
0.7913	237500	-	0.0001	0.9629	-0.0068	-
0.7930	238000	0.0001	0.0001	0.9621	-0.0067	-
0.7947	238500	-	0.0001	0.9630	-0.0067	-
0.7963	239000	0.0001	0.0001	0.9627	-0.0067	-
0.7980	239500	-	0.0001	0.9628	-0.0068	-
0.7997	240000	0.0001	0.0001	0.9626	-0.0067	-
0.8013	240500	-	0.0001	0.9624	-0.0067	-
0.8030	241000	0.0001	0.0001	0.9623	-0.0067	-
0.8047	241500	-	0.0001	0.9622	-0.0067	-
0.8063	242000	0.0001	0.0001	0.9620	-0.0067	-
0.8080	242500	-	0.0001	0.9622	-0.0067	-
0.8097	243000	0.0001	0.0001	0.9626	-0.0067	-
0.8113	243500	-	0.0001	0.9634	-0.0067	-
0.8130	244000	0.0001	0.0001	0.9623	-0.0067	-
0.8147	244500	-	0.0001	0.9632	-0.0067	-
0.8163	245000	0.0001	0.0001	0.9630	-0.0067	-
0.8180	245500	-	0.0001	0.9634	-0.0067	-
0.8197	246000	0.0001	0.0001	0.9627	-0.0067	-
0.8213	246500	-	0.0001	0.9625	-0.0067	-
0.8230	247000	0.0001	0.0001	0.9629	-0.0067	-
0.8247	247500	-	0.0001	0.9633	-0.0067	-
0.8263	248000	0.0001	0.0001	0.9628	-0.0067	-
0.8280	248500	-	0.0001	0.9636	-0.0067	-
0.8297	249000	0.0001	0.0001	0.9632	-0.0067	-
0.8313	249500	-	0.0001	0.9630	-0.0067	-
0.8330	250000	0.0001	0.0001	0.9639	-0.0067	-
0.8347	250500	-	0.0001	0.9633	-0.0067	-
0.8363	251000	0.0001	0.0001	0.9635	-0.0066	-
0.8380	251500	-	0.0001	0.9637	-0.0066	-
0.8397	252000	0.0001	0.0001	0.9632	-0.0067	-
0.8413	252500	-	0.0001	0.9638	-0.0066	-
0.8430	253000	0.0001	0.0001	0.9636	-0.0066	-
0.8447	253500	-	0.0001	0.9635	-0.0066	-
0.8463	254000	0.0001	0.0001	0.9636	-0.0066	-
0.8480	254500	-	0.0001	0.9630	-0.0066	-
0.8497	255000	0.0001	0.0001	0.9633	-0.0066	-
0.8513	255500	-	0.0001	0.9636	-0.0066	-
0.8530	256000	0.0001	0.0001	0.9635	-0.0066	-
0.8546	256500	-	0.0001	0.9640	-0.0066	-
0.8563	257000	0.0001	0.0001	0.9636	-0.0066	-
0.8580	257500	-	0.0001	0.9636	-0.0066	-
0.8596	258000	0.0001	0.0001	0.9636	-0.0066	-
0.8613	258500	-	0.0001	0.9636	-0.0066	-
0.8630	259000	0.0001	0.0001	0.9636	-0.0066	-
0.8646	259500	-	0.0001	0.9635	-0.0066	-
0.8663	260000	0.0001	0.0001	0.9637	-0.0066	-
0.8680	260500	-	0.0001	0.9637	-0.0066	-
0.8696	261000	0.0001	0.0001	0.9639	-0.0066	-
0.8713	261500	-	0.0001	0.9640	-0.0066	-
0.8730	262000	0.0001	0.0001	0.9640	-0.0066	-
0.8746	262500	-	0.0001	0.9642	-0.0066	-
0.8763	263000	0.0001	0.0001	0.9636	-0.0066	-
0.8780	263500	-	0.0001	0.9640	-0.0066	-
0.8796	264000	0.0001	0.0001	0.9642	-0.0066	-
0.8813	264500	-	0.0001	0.9640	-0.0066	-
0.8830	265000	0.0001	0.0001	0.9642	-0.0066	-
0.8846	265500	-	0.0001	0.9645	-0.0066	-
0.8863	266000	0.0001	0.0001	0.9637	-0.0066	-
0.8880	266500	-	0.0001	0.9640	-0.0066	-
0.8896	267000	0.0001	0.0001	0.9643	-0.0065	-
0.8913	267500	-	0.0001	0.9641	-0.0065	-
0.8930	268000	0.0001	0.0001	0.9639	-0.0065	-
0.8946	268500	-	0.0001	0.9642	-0.0065	-
0.8963	269000	0.0001	0.0001	0.9642	-0.0065	-
0.8980	269500	-	0.0001	0.9640	-0.0065	-
0.8996	270000	0.0001	0.0001	0.9642	-0.0065	-
0.9013	270500	-	0.0001	0.9639	-0.0065	-
0.9030	271000	0.0001	0.0001	0.9641	-0.0065	-
0.9046	271500	-	0.0001	0.9640	-0.0065	-
0.9063	272000	0.0001	0.0001	0.9643	-0.0065	-
0.9080	272500	-	0.0001	0.9645	-0.0065	-
0.9096	273000	0.0001	0.0001	0.9645	-0.0065	-
0.9113	273500	-	0.0001	0.9645	-0.0065	-
0.9130	274000	0.0001	0.0001	0.9643	-0.0065	-
0.9146	274500	-	0.0001	0.9645	-0.0065	-
0.9163	275000	0.0001	0.0001	0.9642	-0.0065	-
0.9180	275500	-	0.0001	0.9645	-0.0065	-
0.9196	276000	0.0001	0.0001	0.9643	-0.0065	-
0.9213	276500	-	0.0001	0.9643	-0.0065	-
0.9230	277000	0.0001	0.0001	0.9644	-0.0065	-
0.9246	277500	-	0.0001	0.9643	-0.0065	-
0.9263	278000	0.0001	0.0001	0.9644	-0.0065	-
0.9280	278500	-	0.0001	0.9646	-0.0065	-
0.9296	279000	0.0001	0.0001	0.9643	-0.0065	-
0.9313	279500	-	0.0001	0.9644	-0.0065	-
0.9330	280000	0.0001	0.0001	0.9643	-0.0065	-
0.9346	280500	-	0.0001	0.9644	-0.0065	-
0.9363	281000	0.0001	0.0001	0.9643	-0.0065	-
0.9379	281500	-	0.0001	0.9645	-0.0065	-
0.9396	282000	0.0001	0.0001	0.9643	-0.0065	-
0.9413	282500	-	0.0001	0.9643	-0.0065	-
0.9429	283000	0.0001	0.0001	0.9646	-0.0065	-
0.9446	283500	-	0.0001	0.9644	-0.0064	-
0.9463	284000	0.0001	0.0001	0.9646	-0.0065	-
0.9479	284500	-	0.0001	0.9648	-0.0064	-
0.9496	285000	0.0001	0.0001	0.9650	-0.0064	-
0.9513	285500	-	0.0001	0.9647	-0.0064	-
0.9529	286000	0.0001	0.0001	0.9648	-0.0064	-
0.9546	286500	-	0.0001	0.9645	-0.0064	-
0.9563	287000	0.0001	0.0001	0.9646	-0.0064	-
0.9579	287500	-	0.0001	0.9647	-0.0064	-
0.9596	288000	0.0001	0.0001	0.9648	-0.0064	-
0.9613	288500	-	0.0001	0.9647	-0.0064	-
0.9629	289000	0.0001	0.0001	0.9647	-0.0064	-
0.9646	289500	-	0.0001	0.9647	-0.0064	-
0.9663	290000	0.0001	0.0001	0.9649	-0.0064	-
0.9679	290500	-	0.0001	0.9648	-0.0064	-
0.9696	291000	0.0001	0.0001	0.9648	-0.0064	-
0.9713	291500	-	0.0001	0.9649	-0.0064	-
0.9729	292000	0.0001	0.0001	0.9648	-0.0064	-
0.9746	292500	-	0.0001	0.9649	-0.0064	-
0.9763	293000	0.0001	0.0001	0.9648	-0.0064	-
0.9779	293500	-	0.0001	0.9648	-0.0064	-
0.9796	294000	0.0001	0.0001	0.9650	-0.0064	-
0.9813	294500	-	0.0001	0.9650	-0.0064	-
0.9829	295000	0.0001	0.0001	0.9649	-0.0064	-
0.9846	295500	-	0.0001	0.9650	-0.0064	-
0.9863	296000	0.0001	0.0001	0.9649	-0.0064	-
0.9879	296500	-	0.0001	0.9650	-0.0064	-
0.9896	297000	0.0001	0.0001	0.9650	-0.0064	-
0.9913	297500	-	0.0001	0.9651	-0.0064	-
0.9929	298000	0.0001	0.0001	0.9650	-0.0064	-
0.9946	298500	-	0.0001	0.9650	-0.0064	-
0.9963	299000	0.0001	0.0001	0.9651	-0.0064	-
0.9979	299500	-	0.0001	0.9650	-0.0064	-
0.9996	300000	0.0001	0.0001	0.9650	-0.0064	-
1.0	300123	-	-	-	-	0.9651

The bold row denotes the saved checkpoint.

Framework Versions

Python: 3.12.4
Sentence Transformers: 3.3.1
Transformers: 4.48.0
PyTorch: 2.4.1+cu121
Accelerate: 1.0.1
Datasets: 2.19.0
Tokenizers: 0.21.0

Citation

BibTeX

Sentence Transformers

@inproceedings{reimers-2019-sentence-bert,
    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2019",
    publisher = "Association for Computational Linguistics",
    url = "https://arxiv.org/abs/1908.10084",
}

MSELoss

@inproceedings{reimers-2020-multilingual-sentence-bert,
    title = "Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2020",
    publisher = "Association for Computational Linguistics",
    url = "https://arxiv.org/abs/2004.09813",
}