SentenceTransformer based on Mihaiii/Venusaur
This is a sentence-transformers model finetuned from Mihaiii/Venusaur on the Mihaiii/qa-assistant-2 dataset. It maps sentences & paragraphs to a 384-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: Mihaiii/Venusaur
- Maximum Sequence Length: 512 tokens
- Output Dimensionality: 384 tokens
- Similarity Function: Cosine Similarity
- Training Dataset:
- Language: en
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': 512, 'do_lower_case': False}) with Transformer model: BertModel
(1): Pooling({'word_embedding_dimension': 384, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
)
Usage
Direct Usage (Sentence Transformers)
First install the Sentence Transformers library:
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 = [
'What are the social structures of ants?',
'The social hierarchy of ants is a complex system that ensures the survival and efficiency of the colony.',
'In a parliamentary system, the executive branch derives its legitimacy from and is accountable to the legislature; the executive and legislative branches are thus interconnected.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 384]
# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]
Evaluation
Metrics
Semantic Similarity
- Dataset:
sts-dev
- Evaluated with
EmbeddingSimilarityEvaluator
Metric | Value |
---|---|
pearson_cosine | 0.8226 |
spearman_cosine | 0.8216 |
pearson_manhattan | 0.8141 |
spearman_manhattan | 0.819 |
pearson_euclidean | 0.8165 |
spearman_euclidean | 0.8213 |
pearson_dot | 0.8076 |
spearman_dot | 0.8113 |
pearson_max | 0.8226 |
spearman_max | 0.8216 |
Training Details
Training Dataset
Mihaiii/qa-assistant-2
- Dataset: Mihaiii/qa-assistant-2 at 9650e69
- Size: 16,011 training samples
- Columns:
question
,answer
, andscore
- Approximate statistics based on the first 1000 samples:
question answer score type string string float details - min: 6 tokens
- mean: 12.73 tokens
- max: 27 tokens
- min: 10 tokens
- mean: 22.42 tokens
- max: 65 tokens
- min: 0.02
- mean: 0.53
- max: 1.0
- Samples:
question answer score Can you describe the process of robot path planning?
Robots can be programmed to perform a variety of tasks, from simple repetitive actions to complex decision-making processes.
0.27999999999999997
Can humans live on Mars?
Mars is the fourth planet from the Sun and is often called the Red Planet due to its reddish appearance.
0.16
What are the key elements of composition in abstract art?
The history of abstract art dates back to the early 20th century, with pioneers like Wassily Kandinsky and Piet Mondrian.
0.36
- Loss:
CosineSimilarityLoss
with these parameters:{ "loss_fct": "torch.nn.modules.loss.MSELoss" }
Evaluation Dataset
Mihaiii/qa-assistant-2
- Dataset: Mihaiii/qa-assistant-2 at 9650e69
- Size: 3,879 evaluation samples
- Columns:
question
,answer
, andscore
- Approximate statistics based on the first 1000 samples:
question answer score type string string float details - min: 7 tokens
- mean: 12.71 tokens
- max: 31 tokens
- min: 10 tokens
- mean: 22.63 tokens
- max: 51 tokens
- min: 0.02
- mean: 0.53
- max: 1.0
- Samples:
question answer score What is the concept of social stratification?
The study of social stratification involves examining the inequalities and divisions within a society.
0.6799999999999999
How does J.K. Rowling develop the character of Hermione Granger throughout the 'Harry Potter' series?
The 'Harry Potter' series consists of seven books, starting with 'Harry Potter and the Philosopher's Stone' and ending with 'Harry Potter and the Deathly Hallows'.
0.22000000000000003
What is the parliamentary system and how does it function?
In a parliamentary system, the government can be dissolved by a vote of no confidence, which can lead to new elections.
0.6799999999999999
- Loss:
CosineSimilarityLoss
with these parameters:{ "loss_fct": "torch.nn.modules.loss.MSELoss" }
Training Hyperparameters
Non-Default Hyperparameters
eval_strategy
: stepsper_device_train_batch_size
: 16per_device_eval_batch_size
: 16num_train_epochs
: 100warmup_ratio
: 0.1
All Hyperparameters
Click to expand
overwrite_output_dir
: Falsedo_predict
: Falseeval_strategy
: stepsprediction_loss_only
: Trueper_device_train_batch_size
: 16per_device_eval_batch_size
: 16per_gpu_train_batch_size
: Noneper_gpu_eval_batch_size
: Nonegradient_accumulation_steps
: 1eval_accumulation_steps
: Nonelearning_rate
: 5e-05weight_decay
: 0.0adam_beta1
: 0.9adam_beta2
: 0.999adam_epsilon
: 1e-08max_grad_norm
: 1.0num_train_epochs
: 100max_steps
: -1lr_scheduler_type
: linearlr_scheduler_kwargs
: {}warmup_ratio
: 0.1warmup_steps
: 0log_level
: passivelog_level_replica
: warninglog_on_each_node
: Truelogging_nan_inf_filter
: Truesave_safetensors
: Truesave_on_each_node
: Falsesave_only_model
: Falserestore_callback_states_from_checkpoint
: Falseno_cuda
: Falseuse_cpu
: Falseuse_mps_device
: Falseseed
: 42data_seed
: Nonejit_mode_eval
: Falseuse_ipex
: Falsebf16
: Falsefp16
: Falsefp16_opt_level
: O1half_precision_backend
: autobf16_full_eval
: Falsefp16_full_eval
: Falsetf32
: Nonelocal_rank
: 0ddp_backend
: Nonetpu_num_cores
: Nonetpu_metrics_debug
: Falsedebug
: []dataloader_drop_last
: Falsedataloader_num_workers
: 0dataloader_prefetch_factor
: Nonepast_index
: -1disable_tqdm
: Falseremove_unused_columns
: Truelabel_names
: Noneload_best_model_at_end
: Falseignore_data_skip
: Falsefsdp
: []fsdp_min_num_params
: 0fsdp_config
: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}fsdp_transformer_layer_cls_to_wrap
: Noneaccelerator_config
: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}deepspeed
: Nonelabel_smoothing_factor
: 0.0optim
: adamw_torchoptim_args
: Noneadafactor
: Falsegroup_by_length
: Falselength_column_name
: lengthddp_find_unused_parameters
: Noneddp_bucket_cap_mb
: Noneddp_broadcast_buffers
: Falsedataloader_pin_memory
: Truedataloader_persistent_workers
: Falseskip_memory_metrics
: Trueuse_legacy_prediction_loop
: Falsepush_to_hub
: Falseresume_from_checkpoint
: Nonehub_model_id
: Nonehub_strategy
: every_savehub_private_repo
: Falsehub_always_push
: Falsegradient_checkpointing
: Falsegradient_checkpointing_kwargs
: Noneinclude_inputs_for_metrics
: Falseeval_do_concat_batches
: Truefp16_backend
: autopush_to_hub_model_id
: Nonepush_to_hub_organization
: Nonemp_parameters
:auto_find_batch_size
: Falsefull_determinism
: Falsetorchdynamo
: Noneray_scope
: lastddp_timeout
: 1800torch_compile
: Falsetorch_compile_backend
: Nonetorch_compile_mode
: Nonedispatch_batches
: Nonesplit_batches
: Noneinclude_tokens_per_second
: Falseinclude_num_input_tokens_seen
: Falseneftune_noise_alpha
: Noneoptim_target_modules
: Nonebatch_eval_metrics
: Falsebatch_sampler
: batch_samplermulti_dataset_batch_sampler
: proportional
Training Logs
Click to expand
Epoch | Step | Training Loss | loss | sts-dev_spearman_cosine |
---|---|---|---|---|
0.0999 | 100 | 0.0612 | 0.0583 | 0.5424 |
0.1998 | 200 | 0.0596 | 0.0574 | 0.5480 |
0.2997 | 300 | 0.0557 | 0.0565 | 0.5567 |
0.3996 | 400 | 0.0583 | 0.0553 | 0.5704 |
0.4995 | 500 | 0.0568 | 0.0537 | 0.5881 |
0.5994 | 600 | 0.0542 | 0.0522 | 0.6046 |
0.6993 | 700 | 0.0525 | 0.0507 | 0.6209 |
0.7992 | 800 | 0.0498 | 0.0495 | 0.6362 |
0.8991 | 900 | 0.0502 | 0.0476 | 0.6518 |
0.9990 | 1000 | 0.0467 | 0.0465 | 0.6630 |
1.0989 | 1100 | 0.0437 | 0.0455 | 0.6739 |
1.1988 | 1200 | 0.0462 | 0.0442 | 0.6860 |
1.2987 | 1300 | 0.0438 | 0.0433 | 0.6971 |
1.3986 | 1400 | 0.0459 | 0.0424 | 0.7049 |
1.4985 | 1500 | 0.0416 | 0.0411 | 0.7156 |
1.5984 | 1600 | 0.0416 | 0.0402 | 0.7238 |
1.6983 | 1700 | 0.0385 | 0.0395 | 0.7318 |
1.7982 | 1800 | 0.0397 | 0.0386 | 0.7416 |
1.8981 | 1900 | 0.0358 | 0.0378 | 0.7452 |
1.9980 | 2000 | 0.0374 | 0.0371 | 0.7527 |
2.0979 | 2100 | 0.0368 | 0.0371 | 0.7569 |
2.1978 | 2200 | 0.0349 | 0.0363 | 0.7624 |
2.2977 | 2300 | 0.035 | 0.0352 | 0.7687 |
2.3976 | 2400 | 0.0315 | 0.0346 | 0.7726 |
2.4975 | 2500 | 0.033 | 0.0339 | 0.7775 |
2.5974 | 2600 | 0.0328 | 0.0330 | 0.7824 |
2.6973 | 2700 | 0.0327 | 0.0326 | 0.7856 |
2.7972 | 2800 | 0.0301 | 0.0322 | 0.7897 |
2.8971 | 2900 | 0.031 | 0.0325 | 0.7910 |
2.9970 | 3000 | 0.0296 | 0.0315 | 0.7918 |
3.0969 | 3100 | 0.0273 | 0.0313 | 0.7946 |
3.1968 | 3200 | 0.0288 | 0.0311 | 0.7994 |
3.2967 | 3300 | 0.027 | 0.0318 | 0.7986 |
3.3966 | 3400 | 0.0279 | 0.0301 | 0.8028 |
3.4965 | 3500 | 0.0261 | 0.0298 | 0.8040 |
3.5964 | 3600 | 0.027 | 0.0299 | 0.8045 |
3.6963 | 3700 | 0.0268 | 0.0303 | 0.8024 |
3.7962 | 3800 | 0.028 | 0.0290 | 0.8090 |
3.8961 | 3900 | 0.0285 | 0.0291 | 0.8079 |
3.9960 | 4000 | 0.0268 | 0.0291 | 0.8098 |
4.0959 | 4100 | 0.0244 | 0.0290 | 0.8085 |
4.1958 | 4200 | 0.0269 | 0.0291 | 0.8086 |
4.2957 | 4300 | 0.0243 | 0.0287 | 0.8114 |
4.3956 | 4400 | 0.0244 | 0.0312 | 0.8105 |
4.4955 | 4500 | 0.0237 | 0.0280 | 0.8148 |
4.5954 | 4600 | 0.0228 | 0.0285 | 0.8164 |
4.6953 | 4700 | 0.0228 | 0.0278 | 0.8173 |
4.7952 | 4800 | 0.0231 | 0.0280 | 0.8151 |
4.8951 | 4900 | 0.0233 | 0.0284 | 0.8203 |
4.9950 | 5000 | 0.0242 | 0.0269 | 0.8229 |
5.0949 | 5100 | 0.0212 | 0.0271 | 0.8214 |
5.1948 | 5200 | 0.0199 | 0.0276 | 0.8208 |
5.2947 | 5300 | 0.02 | 0.0276 | 0.8191 |
5.3946 | 5400 | 0.021 | 0.0286 | 0.8182 |
5.4945 | 5500 | 0.0213 | 0.0270 | 0.8215 |
5.5944 | 5600 | 0.0203 | 0.0271 | 0.8210 |
5.6943 | 5700 | 0.0203 | 0.0266 | 0.8234 |
5.7942 | 5800 | 0.0216 | 0.0271 | 0.8245 |
5.8941 | 5900 | 0.0215 | 0.0271 | 0.8223 |
5.9940 | 6000 | 0.0204 | 0.0271 | 0.8218 |
6.0939 | 6100 | 0.0177 | 0.0263 | 0.8256 |
6.1938 | 6200 | 0.0181 | 0.0267 | 0.8232 |
6.2937 | 6300 | 0.0187 | 0.0264 | 0.8246 |
6.3936 | 6400 | 0.0179 | 0.0265 | 0.8237 |
6.4935 | 6500 | 0.0176 | 0.0272 | 0.8232 |
6.5934 | 6600 | 0.0185 | 0.0263 | 0.8258 |
6.6933 | 6700 | 0.0188 | 0.0261 | 0.8289 |
6.7932 | 6800 | 0.0184 | 0.0264 | 0.8272 |
6.8931 | 6900 | 0.0192 | 0.0264 | 0.8264 |
6.9930 | 7000 | 0.0169 | 0.0265 | 0.8248 |
7.0929 | 7100 | 0.0137 | 0.0266 | 0.8259 |
7.1928 | 7200 | 0.0153 | 0.0262 | 0.8269 |
7.2927 | 7300 | 0.0141 | 0.0266 | 0.8238 |
7.3926 | 7400 | 0.0158 | 0.0266 | 0.8247 |
7.4925 | 7500 | 0.0162 | 0.0264 | 0.8262 |
7.5924 | 7600 | 0.0142 | 0.0264 | 0.8253 |
7.6923 | 7700 | 0.0168 | 0.0263 | 0.8261 |
7.7922 | 7800 | 0.0149 | 0.0260 | 0.8276 |
7.8921 | 7900 | 0.0158 | 0.0270 | 0.8230 |
7.9920 | 8000 | 0.0171 | 0.0268 | 0.8267 |
8.0919 | 8100 | 0.0131 | 0.0261 | 0.8288 |
8.1918 | 8200 | 0.012 | 0.0263 | 0.8282 |
8.2917 | 8300 | 0.0128 | 0.0267 | 0.8239 |
8.3916 | 8400 | 0.0131 | 0.0262 | 0.8250 |
8.4915 | 8500 | 0.0133 | 0.0258 | 0.8290 |
8.5914 | 8600 | 0.0139 | 0.0259 | 0.8285 |
8.6913 | 8700 | 0.0139 | 0.0266 | 0.8275 |
8.7912 | 8800 | 0.0128 | 0.0256 | 0.8306 |
8.8911 | 8900 | 0.0135 | 0.0257 | 0.8299 |
8.9910 | 9000 | 0.0132 | 0.0264 | 0.8248 |
9.0909 | 9100 | 0.0104 | 0.0257 | 0.8287 |
9.1908 | 9200 | 0.0102 | 0.0265 | 0.8262 |
9.2907 | 9300 | 0.0106 | 0.0263 | 0.8263 |
9.3906 | 9400 | 0.0108 | 0.0263 | 0.8239 |
9.4905 | 9500 | 0.0108 | 0.0271 | 0.8223 |
9.5904 | 9600 | 0.0107 | 0.0263 | 0.8237 |
9.6903 | 9700 | 0.0115 | 0.0264 | 0.8253 |
9.7902 | 9800 | 0.0121 | 0.0263 | 0.8261 |
9.8901 | 9900 | 0.012 | 0.0266 | 0.8240 |
9.9900 | 10000 | 0.0117 | 0.0266 | 0.8234 |
10.0899 | 10100 | 0.0091 | 0.0275 | 0.8222 |
10.1898 | 10200 | 0.0086 | 0.0263 | 0.8250 |
10.2897 | 10300 | 0.0089 | 0.0266 | 0.8237 |
10.3896 | 10400 | 0.0088 | 0.0265 | 0.8233 |
10.4895 | 10500 | 0.009 | 0.0261 | 0.8269 |
10.5894 | 10600 | 0.0097 | 0.0280 | 0.8214 |
10.6893 | 10700 | 0.0101 | 0.0268 | 0.8245 |
10.7892 | 10800 | 0.0096 | 0.0265 | 0.8230 |
10.8891 | 10900 | 0.0092 | 0.0268 | 0.8234 |
10.9890 | 11000 | 0.0099 | 0.0269 | 0.8212 |
11.0889 | 11100 | 0.0081 | 0.0273 | 0.8232 |
11.1888 | 11200 | 0.0069 | 0.0263 | 0.8256 |
11.2887 | 11300 | 0.0072 | 0.0263 | 0.8254 |
11.3886 | 11400 | 0.0078 | 0.0265 | 0.8249 |
11.4885 | 11500 | 0.0077 | 0.0264 | 0.8250 |
11.5884 | 11600 | 0.0075 | 0.0266 | 0.8247 |
11.6883 | 11700 | 0.0078 | 0.0270 | 0.8199 |
11.7882 | 11800 | 0.0085 | 0.0270 | 0.8214 |
11.8881 | 11900 | 0.0079 | 0.0272 | 0.8206 |
11.9880 | 12000 | 0.008 | 0.0270 | 0.8213 |
12.0879 | 12100 | 0.0059 | 0.0267 | 0.8243 |
12.1878 | 12200 | 0.0058 | 0.0267 | 0.8223 |
12.2877 | 12300 | 0.0063 | 0.0269 | 0.8219 |
12.3876 | 12400 | 0.0064 | 0.0264 | 0.8255 |
12.4875 | 12500 | 0.0062 | 0.0269 | 0.8225 |
12.5874 | 12600 | 0.0066 | 0.0271 | 0.8211 |
12.6873 | 12700 | 0.0067 | 0.0271 | 0.8220 |
12.7872 | 12800 | 0.0072 | 0.0272 | 0.8218 |
12.8871 | 12900 | 0.0071 | 0.0269 | 0.8225 |
12.9870 | 13000 | 0.0065 | 0.0265 | 0.8231 |
13.0869 | 13100 | 0.0052 | 0.0270 | 0.8244 |
13.1868 | 13200 | 0.0052 | 0.0266 | 0.8223 |
13.2867 | 13300 | 0.0054 | 0.0265 | 0.8244 |
13.3866 | 13400 | 0.0057 | 0.0269 | 0.8228 |
13.4865 | 13500 | 0.0055 | 0.0278 | 0.8227 |
13.5864 | 13600 | 0.0061 | 0.0270 | 0.8231 |
13.6863 | 13700 | 0.0056 | 0.0272 | 0.8197 |
13.7862 | 13800 | 0.0053 | 0.0269 | 0.8231 |
13.8861 | 13900 | 0.0059 | 0.0271 | 0.8238 |
13.9860 | 14000 | 0.006 | 0.0272 | 0.8208 |
14.0859 | 14100 | 0.0047 | 0.0267 | 0.8242 |
14.1858 | 14200 | 0.0044 | 0.0270 | 0.8231 |
14.2857 | 14300 | 0.0046 | 0.0272 | 0.8219 |
14.3856 | 14400 | 0.0048 | 0.0272 | 0.8223 |
14.4855 | 14500 | 0.0049 | 0.0269 | 0.8204 |
14.5854 | 14600 | 0.0046 | 0.0272 | 0.8209 |
14.6853 | 14700 | 0.0049 | 0.0274 | 0.8200 |
14.7852 | 14800 | 0.0048 | 0.0276 | 0.8211 |
14.8851 | 14900 | 0.005 | 0.0271 | 0.8211 |
14.9850 | 15000 | 0.0055 | 0.0270 | 0.8204 |
15.0849 | 15100 | 0.0039 | 0.0270 | 0.8215 |
15.1848 | 15200 | 0.0039 | 0.0272 | 0.8217 |
15.2847 | 15300 | 0.0039 | 0.0269 | 0.8212 |
15.3846 | 15400 | 0.0043 | 0.0268 | 0.8228 |
15.4845 | 15500 | 0.0043 | 0.0272 | 0.8210 |
15.5844 | 15600 | 0.0043 | 0.0274 | 0.8212 |
15.6843 | 15700 | 0.0045 | 0.0271 | 0.8211 |
15.7842 | 15800 | 0.0048 | 0.0274 | 0.8183 |
15.8841 | 15900 | 0.0049 | 0.0272 | 0.8219 |
15.9840 | 16000 | 0.0045 | 0.0273 | 0.8215 |
16.0839 | 16100 | 0.0035 | 0.0268 | 0.8223 |
16.1838 | 16200 | 0.0039 | 0.0269 | 0.8227 |
16.2837 | 16300 | 0.0038 | 0.0269 | 0.8208 |
16.3836 | 16400 | 0.0034 | 0.0271 | 0.8204 |
16.4835 | 16500 | 0.004 | 0.0272 | 0.8189 |
16.5834 | 16600 | 0.004 | 0.0270 | 0.8224 |
16.6833 | 16700 | 0.0041 | 0.0272 | 0.8210 |
16.7832 | 16800 | 0.0046 | 0.0279 | 0.8204 |
16.8831 | 16900 | 0.0041 | 0.0275 | 0.8202 |
16.9830 | 17000 | 0.0041 | 0.0275 | 0.8199 |
17.0829 | 17100 | 0.0035 | 0.0272 | 0.8208 |
17.1828 | 17200 | 0.0036 | 0.0272 | 0.8198 |
17.2827 | 17300 | 0.0035 | 0.0274 | 0.8181 |
17.3826 | 17400 | 0.0033 | 0.0273 | 0.8196 |
17.4825 | 17500 | 0.0038 | 0.0274 | 0.8201 |
17.5824 | 17600 | 0.0034 | 0.0274 | 0.8184 |
17.6823 | 17700 | 0.004 | 0.0276 | 0.8192 |
17.7822 | 17800 | 0.0034 | 0.0274 | 0.8201 |
17.8821 | 17900 | 0.0038 | 0.0273 | 0.8193 |
17.9820 | 18000 | 0.0037 | 0.0275 | 0.8189 |
18.0819 | 18100 | 0.0032 | 0.0273 | 0.8189 |
18.1818 | 18200 | 0.0031 | 0.0273 | 0.8187 |
18.2817 | 18300 | 0.0031 | 0.0273 | 0.8199 |
18.3816 | 18400 | 0.0033 | 0.0280 | 0.8167 |
18.4815 | 18500 | 0.0035 | 0.0280 | 0.8187 |
18.5814 | 18600 | 0.0033 | 0.0277 | 0.8191 |
18.6813 | 18700 | 0.0033 | 0.0275 | 0.8184 |
18.7812 | 18800 | 0.0033 | 0.0277 | 0.8187 |
18.8811 | 18900 | 0.0034 | 0.0274 | 0.8176 |
18.9810 | 19000 | 0.0034 | 0.0273 | 0.8183 |
19.0809 | 19100 | 0.0028 | 0.0273 | 0.8192 |
19.1808 | 19200 | 0.003 | 0.0270 | 0.8213 |
19.2807 | 19300 | 0.003 | 0.0272 | 0.8185 |
19.3806 | 19400 | 0.0032 | 0.0277 | 0.8187 |
19.4805 | 19500 | 0.0031 | 0.0274 | 0.8208 |
19.5804 | 19600 | 0.0029 | 0.0276 | 0.8218 |
19.6803 | 19700 | 0.003 | 0.0276 | 0.8169 |
19.7802 | 19800 | 0.0032 | 0.0278 | 0.8152 |
19.8801 | 19900 | 0.0029 | 0.0280 | 0.8154 |
19.9800 | 20000 | 0.003 | 0.0274 | 0.8183 |
20.0799 | 20100 | 0.0029 | 0.0271 | 0.8193 |
20.1798 | 20200 | 0.0027 | 0.0272 | 0.8196 |
20.2797 | 20300 | 0.0027 | 0.0272 | 0.8190 |
20.3796 | 20400 | 0.0027 | 0.0276 | 0.8176 |
20.4795 | 20500 | 0.0031 | 0.0274 | 0.8186 |
20.5794 | 20600 | 0.003 | 0.0277 | 0.8180 |
20.6793 | 20700 | 0.0027 | 0.0279 | 0.8158 |
20.7792 | 20800 | 0.0029 | 0.0276 | 0.8174 |
20.8791 | 20900 | 0.0028 | 0.0273 | 0.8186 |
20.9790 | 21000 | 0.003 | 0.0270 | 0.8203 |
21.0789 | 21100 | 0.0026 | 0.0275 | 0.8192 |
21.1788 | 21200 | 0.0026 | 0.0275 | 0.8202 |
21.2787 | 21300 | 0.0027 | 0.0273 | 0.8174 |
21.3786 | 21400 | 0.0026 | 0.0270 | 0.8217 |
21.4785 | 21500 | 0.0028 | 0.0275 | 0.8185 |
21.5784 | 21600 | 0.0028 | 0.0279 | 0.8175 |
21.6783 | 21700 | 0.0027 | 0.0276 | 0.8175 |
21.7782 | 21800 | 0.0028 | 0.0276 | 0.8188 |
21.8781 | 21900 | 0.0028 | 0.0274 | 0.8190 |
21.9780 | 22000 | 0.0027 | 0.0275 | 0.8184 |
22.0779 | 22100 | 0.0023 | 0.0271 | 0.8210 |
22.1778 | 22200 | 0.0024 | 0.0273 | 0.8191 |
22.2777 | 22300 | 0.0025 | 0.0276 | 0.8167 |
22.3776 | 22400 | 0.0025 | 0.0272 | 0.8189 |
22.4775 | 22500 | 0.0025 | 0.0273 | 0.8190 |
22.5774 | 22600 | 0.0024 | 0.0272 | 0.8192 |
22.6773 | 22700 | 0.0025 | 0.0274 | 0.8181 |
22.7772 | 22800 | 0.0026 | 0.0277 | 0.8176 |
22.8771 | 22900 | 0.0025 | 0.0275 | 0.8200 |
22.9770 | 23000 | 0.0027 | 0.0274 | 0.8173 |
23.0769 | 23100 | 0.0025 | 0.0272 | 0.8200 |
23.1768 | 23200 | 0.0024 | 0.0277 | 0.8153 |
23.2767 | 23300 | 0.0022 | 0.0274 | 0.8170 |
23.3766 | 23400 | 0.0023 | 0.0274 | 0.8178 |
23.4765 | 23500 | 0.0023 | 0.0274 | 0.8188 |
23.5764 | 23600 | 0.0024 | 0.0275 | 0.8178 |
23.6763 | 23700 | 0.0024 | 0.0276 | 0.8167 |
23.7762 | 23800 | 0.0022 | 0.0279 | 0.8179 |
23.8761 | 23900 | 0.0023 | 0.0278 | 0.8154 |
23.9760 | 24000 | 0.0022 | 0.0278 | 0.8172 |
24.0759 | 24100 | 0.0023 | 0.0272 | 0.8185 |
24.1758 | 24200 | 0.0021 | 0.0271 | 0.8195 |
24.2757 | 24300 | 0.0023 | 0.0275 | 0.8183 |
24.3756 | 24400 | 0.0021 | 0.0277 | 0.8164 |
24.4755 | 24500 | 0.0023 | 0.0274 | 0.8169 |
24.5754 | 24600 | 0.0023 | 0.0273 | 0.8175 |
24.6753 | 24700 | 0.0024 | 0.0274 | 0.8199 |
24.7752 | 24800 | 0.0022 | 0.0277 | 0.8161 |
24.8751 | 24900 | 0.0025 | 0.0274 | 0.8173 |
24.9750 | 25000 | 0.0025 | 0.0274 | 0.8185 |
25.0749 | 25100 | 0.0021 | 0.0270 | 0.8191 |
25.1748 | 25200 | 0.0021 | 0.0272 | 0.8180 |
25.2747 | 25300 | 0.002 | 0.0273 | 0.8187 |
25.3746 | 25400 | 0.002 | 0.0271 | 0.8211 |
25.4745 | 25500 | 0.002 | 0.0272 | 0.8181 |
25.5744 | 25600 | 0.0024 | 0.0274 | 0.8176 |
25.6743 | 25700 | 0.002 | 0.0270 | 0.8197 |
25.7742 | 25800 | 0.0022 | 0.0271 | 0.8201 |
25.8741 | 25900 | 0.0022 | 0.0276 | 0.8171 |
25.9740 | 26000 | 0.0024 | 0.0274 | 0.8188 |
26.0739 | 26100 | 0.0019 | 0.0276 | 0.8156 |
26.1738 | 26200 | 0.0019 | 0.0274 | 0.8177 |
26.2737 | 26300 | 0.002 | 0.0273 | 0.8190 |
26.3736 | 26400 | 0.0019 | 0.0270 | 0.8204 |
26.4735 | 26500 | 0.002 | 0.0270 | 0.8207 |
26.5734 | 26600 | 0.002 | 0.0271 | 0.8196 |
26.6733 | 26700 | 0.0021 | 0.0272 | 0.8198 |
26.7732 | 26800 | 0.0022 | 0.0273 | 0.8207 |
26.8731 | 26900 | 0.0022 | 0.0272 | 0.8220 |
26.9730 | 27000 | 0.0022 | 0.0270 | 0.8212 |
27.0729 | 27100 | 0.0019 | 0.0270 | 0.8212 |
27.1728 | 27200 | 0.0018 | 0.0270 | 0.8209 |
27.2727 | 27300 | 0.0018 | 0.0268 | 0.8208 |
27.3726 | 27400 | 0.0019 | 0.0271 | 0.8200 |
27.4725 | 27500 | 0.0019 | 0.0272 | 0.8191 |
27.5724 | 27600 | 0.0018 | 0.0271 | 0.8192 |
27.6723 | 27700 | 0.0019 | 0.0274 | 0.8190 |
27.7722 | 27800 | 0.0019 | 0.0274 | 0.8180 |
27.8721 | 27900 | 0.002 | 0.0277 | 0.8168 |
27.9720 | 28000 | 0.0021 | 0.0272 | 0.8196 |
28.0719 | 28100 | 0.002 | 0.0269 | 0.8214 |
28.1718 | 28200 | 0.0017 | 0.0270 | 0.8212 |
28.2717 | 28300 | 0.0018 | 0.0270 | 0.8198 |
28.3716 | 28400 | 0.0019 | 0.0274 | 0.8187 |
28.4715 | 28500 | 0.0017 | 0.0273 | 0.8188 |
28.5714 | 28600 | 0.0018 | 0.0271 | 0.8199 |
28.6713 | 28700 | 0.0018 | 0.0270 | 0.8202 |
28.7712 | 28800 | 0.002 | 0.0270 | 0.8210 |
28.8711 | 28900 | 0.0019 | 0.0271 | 0.8202 |
28.9710 | 29000 | 0.002 | 0.0268 | 0.8213 |
29.0709 | 29100 | 0.0017 | 0.0267 | 0.8226 |
29.1708 | 29200 | 0.0017 | 0.0268 | 0.8228 |
29.2707 | 29300 | 0.0018 | 0.0269 | 0.8212 |
29.3706 | 29400 | 0.0019 | 0.0270 | 0.8206 |
29.4705 | 29500 | 0.0018 | 0.0270 | 0.8201 |
29.5704 | 29600 | 0.0018 | 0.0269 | 0.8212 |
29.6703 | 29700 | 0.0018 | 0.0269 | 0.8206 |
29.7702 | 29800 | 0.0018 | 0.0271 | 0.8207 |
29.8701 | 29900 | 0.0019 | 0.0269 | 0.8199 |
29.9700 | 30000 | 0.0018 | 0.0269 | 0.8205 |
30.0699 | 30100 | 0.0017 | 0.0269 | 0.8206 |
30.1698 | 30200 | 0.0017 | 0.0272 | 0.8192 |
30.2697 | 30300 | 0.0018 | 0.0272 | 0.8208 |
30.3696 | 30400 | 0.0016 | 0.0267 | 0.8219 |
30.4695 | 30500 | 0.0017 | 0.0270 | 0.8205 |
30.5694 | 30600 | 0.0017 | 0.0273 | 0.8172 |
30.6693 | 30700 | 0.0017 | 0.0272 | 0.8200 |
30.7692 | 30800 | 0.002 | 0.0271 | 0.8190 |
30.8691 | 30900 | 0.0018 | 0.0272 | 0.8185 |
30.9690 | 31000 | 0.0017 | 0.0268 | 0.8202 |
31.0689 | 31100 | 0.0016 | 0.0270 | 0.8200 |
31.1688 | 31200 | 0.0017 | 0.0268 | 0.8213 |
31.2687 | 31300 | 0.0016 | 0.0270 | 0.8198 |
31.3686 | 31400 | 0.0016 | 0.0269 | 0.8211 |
31.4685 | 31500 | 0.0017 | 0.0269 | 0.8212 |
31.5684 | 31600 | 0.0016 | 0.0270 | 0.8209 |
31.6683 | 31700 | 0.0017 | 0.0269 | 0.8209 |
31.7682 | 31800 | 0.0019 | 0.0270 | 0.8195 |
31.8681 | 31900 | 0.0017 | 0.0271 | 0.8197 |
31.9680 | 32000 | 0.0017 | 0.0270 | 0.8191 |
32.0679 | 32100 | 0.0014 | 0.0271 | 0.8189 |
32.1678 | 32200 | 0.0014 | 0.0271 | 0.8200 |
32.2677 | 32300 | 0.0015 | 0.0270 | 0.8199 |
32.3676 | 32400 | 0.0015 | 0.0271 | 0.8187 |
32.4675 | 32500 | 0.0016 | 0.0275 | 0.8181 |
32.5674 | 32600 | 0.0017 | 0.0273 | 0.8188 |
32.6673 | 32700 | 0.0016 | 0.0272 | 0.8193 |
32.7672 | 32800 | 0.0014 | 0.0273 | 0.8189 |
32.8671 | 32900 | 0.0016 | 0.0276 | 0.8166 |
32.9670 | 33000 | 0.0018 | 0.0274 | 0.8181 |
33.0669 | 33100 | 0.0017 | 0.0271 | 0.8189 |
33.1668 | 33200 | 0.0016 | 0.0273 | 0.8181 |
33.2667 | 33300 | 0.0015 | 0.0271 | 0.8186 |
33.3666 | 33400 | 0.0016 | 0.0271 | 0.8193 |
33.4665 | 33500 | 0.0014 | 0.0271 | 0.8187 |
33.5664 | 33600 | 0.0017 | 0.0270 | 0.8190 |
33.6663 | 33700 | 0.0015 | 0.0270 | 0.8190 |
33.7662 | 33800 | 0.0015 | 0.0270 | 0.8196 |
33.8661 | 33900 | 0.0015 | 0.0271 | 0.8209 |
33.9660 | 34000 | 0.0016 | 0.0270 | 0.8201 |
34.0659 | 34100 | 0.0017 | 0.0269 | 0.8199 |
34.1658 | 34200 | 0.0014 | 0.0269 | 0.8198 |
34.2657 | 34300 | 0.0014 | 0.0271 | 0.8207 |
34.3656 | 34400 | 0.0015 | 0.0271 | 0.8198 |
34.4655 | 34500 | 0.0014 | 0.0273 | 0.8188 |
34.5654 | 34600 | 0.0016 | 0.0271 | 0.8193 |
34.6653 | 34700 | 0.0016 | 0.0268 | 0.8216 |
34.7652 | 34800 | 0.0014 | 0.0272 | 0.8186 |
34.8651 | 34900 | 0.0016 | 0.0271 | 0.8180 |
34.9650 | 35000 | 0.0015 | 0.0272 | 0.8185 |
35.0649 | 35100 | 0.0014 | 0.0271 | 0.8191 |
35.1648 | 35200 | 0.0015 | 0.0270 | 0.8197 |
35.2647 | 35300 | 0.0013 | 0.0269 | 0.8204 |
35.3646 | 35400 | 0.0014 | 0.0267 | 0.8215 |
35.4645 | 35500 | 0.0013 | 0.0270 | 0.8196 |
35.5644 | 35600 | 0.0015 | 0.0271 | 0.8190 |
35.6643 | 35700 | 0.0015 | 0.0270 | 0.8200 |
35.7642 | 35800 | 0.0014 | 0.0267 | 0.8204 |
35.8641 | 35900 | 0.0014 | 0.0269 | 0.8206 |
35.9640 | 36000 | 0.0014 | 0.0270 | 0.8194 |
36.0639 | 36100 | 0.0014 | 0.0270 | 0.8196 |
36.1638 | 36200 | 0.0013 | 0.0268 | 0.8203 |
36.2637 | 36300 | 0.0014 | 0.0269 | 0.8207 |
36.3636 | 36400 | 0.0013 | 0.0271 | 0.8188 |
36.4635 | 36500 | 0.0014 | 0.0272 | 0.8183 |
36.5634 | 36600 | 0.0014 | 0.0271 | 0.8199 |
36.6633 | 36700 | 0.0014 | 0.0270 | 0.8191 |
36.7632 | 36800 | 0.0013 | 0.0268 | 0.8205 |
36.8631 | 36900 | 0.0016 | 0.0271 | 0.8192 |
36.9630 | 37000 | 0.0013 | 0.0269 | 0.8207 |
37.0629 | 37100 | 0.0013 | 0.0268 | 0.8208 |
37.1628 | 37200 | 0.0013 | 0.0267 | 0.8217 |
37.2627 | 37300 | 0.0013 | 0.0268 | 0.8211 |
37.3626 | 37400 | 0.0013 | 0.0268 | 0.8223 |
37.4625 | 37500 | 0.0013 | 0.0267 | 0.8215 |
37.5624 | 37600 | 0.0015 | 0.0268 | 0.8214 |
37.6623 | 37700 | 0.0013 | 0.0269 | 0.8199 |
37.7622 | 37800 | 0.0013 | 0.0271 | 0.8192 |
37.8621 | 37900 | 0.0015 | 0.0274 | 0.8184 |
37.9620 | 38000 | 0.0013 | 0.0271 | 0.8192 |
38.0619 | 38100 | 0.0013 | 0.0268 | 0.8201 |
38.1618 | 38200 | 0.0012 | 0.0269 | 0.8197 |
38.2617 | 38300 | 0.0013 | 0.0267 | 0.8211 |
38.3616 | 38400 | 0.0012 | 0.0272 | 0.8177 |
38.4615 | 38500 | 0.0013 | 0.0270 | 0.8192 |
38.5614 | 38600 | 0.0014 | 0.0268 | 0.8214 |
38.6613 | 38700 | 0.0013 | 0.0266 | 0.8214 |
38.7612 | 38800 | 0.0014 | 0.0268 | 0.8207 |
38.8611 | 38900 | 0.0015 | 0.0271 | 0.8195 |
38.9610 | 39000 | 0.0014 | 0.0269 | 0.8204 |
39.0609 | 39100 | 0.0013 | 0.0270 | 0.8204 |
39.1608 | 39200 | 0.0014 | 0.0271 | 0.8195 |
39.2607 | 39300 | 0.0012 | 0.0270 | 0.8202 |
39.3606 | 39400 | 0.0012 | 0.0272 | 0.8196 |
39.4605 | 39500 | 0.0011 | 0.0270 | 0.8187 |
39.5604 | 39600 | 0.0013 | 0.0269 | 0.8194 |
39.6603 | 39700 | 0.0012 | 0.0271 | 0.8188 |
39.7602 | 39800 | 0.0013 | 0.0269 | 0.8199 |
39.8601 | 39900 | 0.0014 | 0.0270 | 0.8206 |
39.9600 | 40000 | 0.0013 | 0.0269 | 0.8200 |
40.0599 | 40100 | 0.0013 | 0.0268 | 0.8209 |
40.1598 | 40200 | 0.0013 | 0.0269 | 0.8207 |
40.2597 | 40300 | 0.0012 | 0.0271 | 0.8194 |
40.3596 | 40400 | 0.0013 | 0.0272 | 0.8194 |
40.4595 | 40500 | 0.0012 | 0.0271 | 0.8189 |
40.5594 | 40600 | 0.0013 | 0.0273 | 0.8178 |
40.6593 | 40700 | 0.0013 | 0.0272 | 0.8177 |
40.7592 | 40800 | 0.0012 | 0.0272 | 0.8174 |
40.8591 | 40900 | 0.0013 | 0.0271 | 0.8188 |
40.9590 | 41000 | 0.0012 | 0.0273 | 0.8186 |
41.0589 | 41100 | 0.0013 | 0.0272 | 0.8178 |
41.1588 | 41200 | 0.0011 | 0.0269 | 0.8199 |
41.2587 | 41300 | 0.0012 | 0.0267 | 0.8204 |
41.3586 | 41400 | 0.0012 | 0.0269 | 0.8204 |
41.4585 | 41500 | 0.0011 | 0.0271 | 0.8188 |
41.5584 | 41600 | 0.0012 | 0.0269 | 0.8207 |
41.6583 | 41700 | 0.0013 | 0.0271 | 0.8179 |
41.7582 | 41800 | 0.0011 | 0.0270 | 0.8200 |
41.8581 | 41900 | 0.0013 | 0.0273 | 0.8184 |
41.9580 | 42000 | 0.0014 | 0.0272 | 0.8182 |
42.0579 | 42100 | 0.0012 | 0.0269 | 0.8210 |
42.1578 | 42200 | 0.0011 | 0.0269 | 0.8208 |
42.2577 | 42300 | 0.0013 | 0.0268 | 0.8220 |
42.3576 | 42400 | 0.0013 | 0.0267 | 0.8208 |
42.4575 | 42500 | 0.0012 | 0.0265 | 0.8228 |
42.5574 | 42600 | 0.0011 | 0.0267 | 0.8207 |
42.6573 | 42700 | 0.0011 | 0.0268 | 0.8208 |
42.7572 | 42800 | 0.0011 | 0.0267 | 0.8215 |
42.8571 | 42900 | 0.0012 | 0.0267 | 0.8217 |
42.9570 | 43000 | 0.0011 | 0.0269 | 0.8208 |
43.0569 | 43100 | 0.0011 | 0.0268 | 0.8208 |
43.1568 | 43200 | 0.0011 | 0.0267 | 0.8212 |
43.2567 | 43300 | 0.0011 | 0.0266 | 0.8214 |
43.3566 | 43400 | 0.0011 | 0.0268 | 0.8213 |
43.4565 | 43500 | 0.0012 | 0.0269 | 0.8206 |
43.5564 | 43600 | 0.0011 | 0.0268 | 0.8207 |
43.6563 | 43700 | 0.0012 | 0.0269 | 0.8199 |
43.7562 | 43800 | 0.0011 | 0.0270 | 0.8201 |
43.8561 | 43900 | 0.0011 | 0.0268 | 0.8201 |
43.9560 | 44000 | 0.0013 | 0.0269 | 0.8194 |
44.0559 | 44100 | 0.0011 | 0.0271 | 0.8181 |
44.1558 | 44200 | 0.0011 | 0.0269 | 0.8196 |
44.2557 | 44300 | 0.0011 | 0.0270 | 0.8189 |
44.3556 | 44400 | 0.0012 | 0.0270 | 0.8194 |
44.4555 | 44500 | 0.0011 | 0.0270 | 0.8189 |
44.5554 | 44600 | 0.0011 | 0.0269 | 0.8199 |
44.6553 | 44700 | 0.0011 | 0.0270 | 0.8200 |
44.7552 | 44800 | 0.0012 | 0.0270 | 0.8193 |
44.8551 | 44900 | 0.0011 | 0.0267 | 0.8203 |
44.9550 | 45000 | 0.0011 | 0.0269 | 0.8201 |
45.0549 | 45100 | 0.0011 | 0.0268 | 0.8204 |
45.1548 | 45200 | 0.001 | 0.0267 | 0.8215 |
45.2547 | 45300 | 0.0012 | 0.0265 | 0.8229 |
45.3546 | 45400 | 0.0011 | 0.0266 | 0.8218 |
45.4545 | 45500 | 0.0013 | 0.0266 | 0.8229 |
45.5544 | 45600 | 0.0011 | 0.0267 | 0.8220 |
45.6543 | 45700 | 0.0011 | 0.0266 | 0.8212 |
45.7542 | 45800 | 0.0011 | 0.0268 | 0.8213 |
45.8541 | 45900 | 0.0012 | 0.0265 | 0.8227 |
45.9540 | 46000 | 0.001 | 0.0266 | 0.8223 |
46.0539 | 46100 | 0.001 | 0.0266 | 0.8211 |
46.1538 | 46200 | 0.001 | 0.0266 | 0.8209 |
46.2537 | 46300 | 0.001 | 0.0268 | 0.8212 |
46.3536 | 46400 | 0.001 | 0.0268 | 0.8202 |
46.4535 | 46500 | 0.001 | 0.0267 | 0.8211 |
46.5534 | 46600 | 0.0011 | 0.0268 | 0.8213 |
46.6533 | 46700 | 0.001 | 0.0268 | 0.8211 |
46.7532 | 46800 | 0.0011 | 0.0269 | 0.8198 |
46.8531 | 46900 | 0.001 | 0.0267 | 0.8213 |
46.9530 | 47000 | 0.0013 | 0.0266 | 0.8213 |
47.0529 | 47100 | 0.001 | 0.0265 | 0.8221 |
47.1528 | 47200 | 0.001 | 0.0266 | 0.8222 |
47.2527 | 47300 | 0.0012 | 0.0267 | 0.8222 |
47.3526 | 47400 | 0.0011 | 0.0266 | 0.8224 |
47.4525 | 47500 | 0.0011 | 0.0267 | 0.8212 |
47.5524 | 47600 | 0.001 | 0.0268 | 0.8212 |
47.6523 | 47700 | 0.001 | 0.0268 | 0.8209 |
47.7522 | 47800 | 0.0011 | 0.0268 | 0.8199 |
47.8521 | 47900 | 0.0011 | 0.0267 | 0.8200 |
47.9520 | 48000 | 0.001 | 0.0268 | 0.8208 |
48.0519 | 48100 | 0.0011 | 0.0269 | 0.8201 |
48.1518 | 48200 | 0.0011 | 0.0267 | 0.8208 |
48.2517 | 48300 | 0.0011 | 0.0268 | 0.8207 |
48.3516 | 48400 | 0.001 | 0.0266 | 0.8220 |
48.4515 | 48500 | 0.001 | 0.0267 | 0.8214 |
48.5514 | 48600 | 0.0011 | 0.0266 | 0.8215 |
48.6513 | 48700 | 0.0011 | 0.0267 | 0.8212 |
48.7512 | 48800 | 0.0011 | 0.0267 | 0.8212 |
48.8511 | 48900 | 0.001 | 0.0266 | 0.8218 |
48.9510 | 49000 | 0.001 | 0.0266 | 0.8228 |
49.0509 | 49100 | 0.001 | 0.0266 | 0.8224 |
49.1508 | 49200 | 0.001 | 0.0266 | 0.8216 |
49.2507 | 49300 | 0.001 | 0.0267 | 0.8210 |
49.3506 | 49400 | 0.001 | 0.0267 | 0.8219 |
49.4505 | 49500 | 0.001 | 0.0270 | 0.8192 |
49.5504 | 49600 | 0.001 | 0.0270 | 0.8201 |
49.6503 | 49700 | 0.001 | 0.0269 | 0.8200 |
49.7502 | 49800 | 0.0009 | 0.0268 | 0.8207 |
49.8501 | 49900 | 0.001 | 0.0268 | 0.8204 |
49.9500 | 50000 | 0.001 | 0.0270 | 0.8199 |
50.0500 | 50100 | 0.001 | 0.0269 | 0.8197 |
50.1499 | 50200 | 0.0009 | 0.0269 | 0.8199 |
50.2498 | 50300 | 0.001 | 0.0268 | 0.8205 |
50.3497 | 50400 | 0.0009 | 0.0269 | 0.8201 |
50.4496 | 50500 | 0.001 | 0.0269 | 0.8195 |
50.5495 | 50600 | 0.001 | 0.0267 | 0.8203 |
50.6494 | 50700 | 0.001 | 0.0268 | 0.8211 |
50.7493 | 50800 | 0.001 | 0.0267 | 0.8204 |
50.8492 | 50900 | 0.001 | 0.0268 | 0.8214 |
50.9491 | 51000 | 0.001 | 0.0267 | 0.8207 |
51.0490 | 51100 | 0.001 | 0.0267 | 0.8211 |
51.1489 | 51200 | 0.0009 | 0.0267 | 0.8208 |
51.2488 | 51300 | 0.001 | 0.0266 | 0.8213 |
51.3487 | 51400 | 0.001 | 0.0268 | 0.8208 |
51.4486 | 51500 | 0.001 | 0.0266 | 0.8216 |
51.5485 | 51600 | 0.001 | 0.0267 | 0.8200 |
51.6484 | 51700 | 0.001 | 0.0267 | 0.8208 |
51.7483 | 51800 | 0.001 | 0.0268 | 0.8208 |
51.8482 | 51900 | 0.001 | 0.0268 | 0.8212 |
51.9481 | 52000 | 0.001 | 0.0266 | 0.8216 |
52.0480 | 52100 | 0.0009 | 0.0267 | 0.8208 |
52.1479 | 52200 | 0.0009 | 0.0266 | 0.8215 |
52.2478 | 52300 | 0.001 | 0.0264 | 0.8222 |
52.3477 | 52400 | 0.0009 | 0.0265 | 0.8217 |
52.4476 | 52500 | 0.0011 | 0.0266 | 0.8214 |
52.5475 | 52600 | 0.0009 | 0.0267 | 0.8210 |
52.6474 | 52700 | 0.0009 | 0.0267 | 0.8214 |
52.7473 | 52800 | 0.0009 | 0.0267 | 0.8210 |
52.8472 | 52900 | 0.0009 | 0.0268 | 0.8203 |
52.9471 | 53000 | 0.0009 | 0.0269 | 0.8199 |
53.0470 | 53100 | 0.0009 | 0.0267 | 0.8206 |
53.1469 | 53200 | 0.001 | 0.0269 | 0.8198 |
53.2468 | 53300 | 0.0009 | 0.0268 | 0.8205 |
53.3467 | 53400 | 0.001 | 0.0267 | 0.8210 |
53.4466 | 53500 | 0.001 | 0.0267 | 0.8211 |
53.5465 | 53600 | 0.0009 | 0.0267 | 0.8210 |
53.6464 | 53700 | 0.0009 | 0.0265 | 0.8218 |
53.7463 | 53800 | 0.0009 | 0.0267 | 0.8204 |
53.8462 | 53900 | 0.0009 | 0.0266 | 0.8219 |
53.9461 | 54000 | 0.001 | 0.0268 | 0.8196 |
54.0460 | 54100 | 0.0008 | 0.0269 | 0.8196 |
54.1459 | 54200 | 0.0009 | 0.0268 | 0.8210 |
54.2458 | 54300 | 0.0009 | 0.0268 | 0.8201 |
54.3457 | 54400 | 0.0009 | 0.0267 | 0.8210 |
54.4456 | 54500 | 0.0009 | 0.0267 | 0.8206 |
54.5455 | 54600 | 0.0009 | 0.0268 | 0.8199 |
54.6454 | 54700 | 0.0008 | 0.0268 | 0.8202 |
54.7453 | 54800 | 0.001 | 0.0269 | 0.8195 |
54.8452 | 54900 | 0.0009 | 0.0269 | 0.8188 |
54.9451 | 55000 | 0.0009 | 0.0269 | 0.8195 |
55.0450 | 55100 | 0.001 | 0.0266 | 0.8210 |
55.1449 | 55200 | 0.0009 | 0.0268 | 0.8203 |
55.2448 | 55300 | 0.0009 | 0.0268 | 0.8209 |
55.3447 | 55400 | 0.0008 | 0.0270 | 0.8196 |
55.4446 | 55500 | 0.0009 | 0.0268 | 0.8206 |
55.5445 | 55600 | 0.0009 | 0.0268 | 0.8203 |
55.6444 | 55700 | 0.0009 | 0.0268 | 0.8205 |
55.7443 | 55800 | 0.0008 | 0.0267 | 0.8215 |
55.8442 | 55900 | 0.0009 | 0.0267 | 0.8208 |
55.9441 | 56000 | 0.0009 | 0.0269 | 0.8203 |
56.0440 | 56100 | 0.0009 | 0.0268 | 0.8201 |
56.1439 | 56200 | 0.0008 | 0.0269 | 0.8192 |
56.2438 | 56300 | 0.0008 | 0.0268 | 0.8203 |
56.3437 | 56400 | 0.0008 | 0.0268 | 0.8201 |
56.4436 | 56500 | 0.0008 | 0.0267 | 0.8207 |
56.5435 | 56600 | 0.0008 | 0.0267 | 0.8212 |
56.6434 | 56700 | 0.0009 | 0.0268 | 0.8192 |
56.7433 | 56800 | 0.0009 | 0.0268 | 0.8196 |
56.8432 | 56900 | 0.0009 | 0.0268 | 0.8207 |
56.9431 | 57000 | 0.0008 | 0.0268 | 0.8201 |
57.0430 | 57100 | 0.0008 | 0.0268 | 0.8197 |
57.1429 | 57200 | 0.0009 | 0.0268 | 0.8205 |
57.2428 | 57300 | 0.0008 | 0.0268 | 0.8207 |
57.3427 | 57400 | 0.0009 | 0.0268 | 0.8196 |
57.4426 | 57500 | 0.0008 | 0.0268 | 0.8201 |
57.5425 | 57600 | 0.0009 | 0.0268 | 0.8191 |
57.6424 | 57700 | 0.0008 | 0.0267 | 0.8204 |
57.7423 | 57800 | 0.0008 | 0.0270 | 0.8189 |
57.8422 | 57900 | 0.0008 | 0.0268 | 0.8198 |
57.9421 | 58000 | 0.0008 | 0.0269 | 0.8193 |
58.0420 | 58100 | 0.0008 | 0.0268 | 0.8201 |
58.1419 | 58200 | 0.0009 | 0.0268 | 0.8200 |
58.2418 | 58300 | 0.0008 | 0.0268 | 0.8200 |
58.3417 | 58400 | 0.0008 | 0.0266 | 0.8210 |
58.4416 | 58500 | 0.0008 | 0.0266 | 0.8211 |
58.5415 | 58600 | 0.0008 | 0.0267 | 0.8208 |
58.6414 | 58700 | 0.0008 | 0.0267 | 0.8204 |
58.7413 | 58800 | 0.0008 | 0.0266 | 0.8211 |
58.8412 | 58900 | 0.001 | 0.0268 | 0.8209 |
58.9411 | 59000 | 0.0009 | 0.0267 | 0.8206 |
59.0410 | 59100 | 0.0009 | 0.0268 | 0.8201 |
59.1409 | 59200 | 0.0008 | 0.0268 | 0.8207 |
59.2408 | 59300 | 0.0009 | 0.0266 | 0.8213 |
59.3407 | 59400 | 0.0008 | 0.0264 | 0.8225 |
59.4406 | 59500 | 0.0007 | 0.0264 | 0.8226 |
59.5405 | 59600 | 0.0008 | 0.0264 | 0.8229 |
59.6404 | 59700 | 0.0009 | 0.0265 | 0.8219 |
59.7403 | 59800 | 0.0007 | 0.0265 | 0.8225 |
59.8402 | 59900 | 0.0008 | 0.0266 | 0.8214 |
59.9401 | 60000 | 0.0008 | 0.0267 | 0.8215 |
60.0400 | 60100 | 0.0008 | 0.0267 | 0.8208 |
60.1399 | 60200 | 0.0008 | 0.0266 | 0.8213 |
60.2398 | 60300 | 0.0008 | 0.0268 | 0.8205 |
60.3397 | 60400 | 0.0008 | 0.0266 | 0.8211 |
60.4396 | 60500 | 0.0009 | 0.0267 | 0.8208 |
60.5395 | 60600 | 0.0007 | 0.0267 | 0.8202 |
60.6394 | 60700 | 0.0009 | 0.0267 | 0.8208 |
60.7393 | 60800 | 0.0008 | 0.0268 | 0.8201 |
60.8392 | 60900 | 0.0008 | 0.0266 | 0.8216 |
60.9391 | 61000 | 0.0008 | 0.0267 | 0.8205 |
61.0390 | 61100 | 0.0008 | 0.0265 | 0.8214 |
61.1389 | 61200 | 0.0008 | 0.0266 | 0.8221 |
61.2388 | 61300 | 0.0008 | 0.0266 | 0.8215 |
61.3387 | 61400 | 0.0007 | 0.0267 | 0.8209 |
61.4386 | 61500 | 0.0008 | 0.0268 | 0.8202 |
61.5385 | 61600 | 0.0008 | 0.0265 | 0.8217 |
61.6384 | 61700 | 0.0007 | 0.0266 | 0.8216 |
61.7383 | 61800 | 0.0008 | 0.0267 | 0.8206 |
61.8382 | 61900 | 0.001 | 0.0266 | 0.8217 |
61.9381 | 62000 | 0.0009 | 0.0266 | 0.8212 |
62.0380 | 62100 | 0.0008 | 0.0265 | 0.8219 |
62.1379 | 62200 | 0.0007 | 0.0265 | 0.8220 |
62.2378 | 62300 | 0.0008 | 0.0266 | 0.8209 |
62.3377 | 62400 | 0.0008 | 0.0266 | 0.8215 |
62.4376 | 62500 | 0.0008 | 0.0266 | 0.8217 |
62.5375 | 62600 | 0.0008 | 0.0266 | 0.8220 |
62.6374 | 62700 | 0.0008 | 0.0265 | 0.8220 |
62.7373 | 62800 | 0.0008 | 0.0266 | 0.8211 |
62.8372 | 62900 | 0.0008 | 0.0267 | 0.8212 |
62.9371 | 63000 | 0.0008 | 0.0267 | 0.8215 |
63.0370 | 63100 | 0.0008 | 0.0267 | 0.8211 |
63.1369 | 63200 | 0.0007 | 0.0265 | 0.8219 |
63.2368 | 63300 | 0.0007 | 0.0265 | 0.8218 |
63.3367 | 63400 | 0.0007 | 0.0266 | 0.8211 |
63.4366 | 63500 | 0.0007 | 0.0266 | 0.8217 |
63.5365 | 63600 | 0.0008 | 0.0266 | 0.8213 |
63.6364 | 63700 | 0.0008 | 0.0264 | 0.8226 |
63.7363 | 63800 | 0.0007 | 0.0266 | 0.8210 |
63.8362 | 63900 | 0.0008 | 0.0267 | 0.8202 |
63.9361 | 64000 | 0.0008 | 0.0267 | 0.8205 |
64.0360 | 64100 | 0.0008 | 0.0266 | 0.8212 |
64.1359 | 64200 | 0.0008 | 0.0266 | 0.8208 |
64.2358 | 64300 | 0.0007 | 0.0265 | 0.8217 |
64.3357 | 64400 | 0.0007 | 0.0265 | 0.8213 |
64.4356 | 64500 | 0.0007 | 0.0264 | 0.8224 |
64.5355 | 64600 | 0.0008 | 0.0265 | 0.8219 |
64.6354 | 64700 | 0.0007 | 0.0265 | 0.8216 |
64.7353 | 64800 | 0.0008 | 0.0266 | 0.8210 |
64.8352 | 64900 | 0.0008 | 0.0266 | 0.8212 |
64.9351 | 65000 | 0.0007 | 0.0267 | 0.8199 |
65.0350 | 65100 | 0.0007 | 0.0267 | 0.8209 |
65.1349 | 65200 | 0.0007 | 0.0266 | 0.8214 |
65.2348 | 65300 | 0.0007 | 0.0266 | 0.8212 |
65.3347 | 65400 | 0.0008 | 0.0267 | 0.8207 |
65.4346 | 65500 | 0.0007 | 0.0268 | 0.8201 |
65.5345 | 65600 | 0.0008 | 0.0268 | 0.8205 |
65.6344 | 65700 | 0.0007 | 0.0268 | 0.8206 |
65.7343 | 65800 | 0.0007 | 0.0266 | 0.8211 |
65.8342 | 65900 | 0.0007 | 0.0266 | 0.8213 |
65.9341 | 66000 | 0.0007 | 0.0267 | 0.8211 |
66.0340 | 66100 | 0.0006 | 0.0267 | 0.8204 |
66.1339 | 66200 | 0.0007 | 0.0267 | 0.8208 |
66.2338 | 66300 | 0.0007 | 0.0266 | 0.8210 |
66.3337 | 66400 | 0.0008 | 0.0267 | 0.8207 |
66.4336 | 66500 | 0.0007 | 0.0267 | 0.8202 |
66.5335 | 66600 | 0.0008 | 0.0266 | 0.8213 |
66.6334 | 66700 | 0.0007 | 0.0266 | 0.8211 |
66.7333 | 66800 | 0.0008 | 0.0268 | 0.8204 |
66.8332 | 66900 | 0.0007 | 0.0267 | 0.8207 |
66.9331 | 67000 | 0.0007 | 0.0266 | 0.8210 |
67.0330 | 67100 | 0.0008 | 0.0267 | 0.8206 |
67.1329 | 67200 | 0.0008 | 0.0266 | 0.8213 |
67.2328 | 67300 | 0.0007 | 0.0265 | 0.8216 |
67.3327 | 67400 | 0.0007 | 0.0264 | 0.8223 |
67.4326 | 67500 | 0.0008 | 0.0265 | 0.8222 |
67.5325 | 67600 | 0.0008 | 0.0264 | 0.8225 |
67.6324 | 67700 | 0.0007 | 0.0264 | 0.8224 |
67.7323 | 67800 | 0.0007 | 0.0266 | 0.8216 |
67.8322 | 67900 | 0.0007 | 0.0267 | 0.8202 |
67.9321 | 68000 | 0.0007 | 0.0267 | 0.8205 |
68.0320 | 68100 | 0.0007 | 0.0266 | 0.8212 |
68.1319 | 68200 | 0.0006 | 0.0265 | 0.8215 |
68.2318 | 68300 | 0.0007 | 0.0266 | 0.8211 |
68.3317 | 68400 | 0.0007 | 0.0266 | 0.8216 |
68.4316 | 68500 | 0.0007 | 0.0266 | 0.8214 |
68.5315 | 68600 | 0.0007 | 0.0266 | 0.8212 |
68.6314 | 68700 | 0.0007 | 0.0266 | 0.8211 |
68.7313 | 68800 | 0.0007 | 0.0266 | 0.8210 |
68.8312 | 68900 | 0.0007 | 0.0265 | 0.8220 |
68.9311 | 69000 | 0.0007 | 0.0265 | 0.8216 |
69.0310 | 69100 | 0.0007 | 0.0266 | 0.8217 |
69.1309 | 69200 | 0.0006 | 0.0265 | 0.8221 |
69.2308 | 69300 | 0.0006 | 0.0266 | 0.8218 |
69.3307 | 69400 | 0.0007 | 0.0264 | 0.8222 |
69.4306 | 69500 | 0.0007 | 0.0266 | 0.8216 |
69.5305 | 69600 | 0.0007 | 0.0266 | 0.8215 |
69.6304 | 69700 | 0.0007 | 0.0265 | 0.8226 |
69.7303 | 69800 | 0.0008 | 0.0267 | 0.8210 |
69.8302 | 69900 | 0.0007 | 0.0265 | 0.8221 |
69.9301 | 70000 | 0.0007 | 0.0266 | 0.8216 |
70.0300 | 70100 | 0.0007 | 0.0265 | 0.8218 |
70.1299 | 70200 | 0.0007 | 0.0265 | 0.8219 |
70.2298 | 70300 | 0.0006 | 0.0266 | 0.8216 |
70.3297 | 70400 | 0.0007 | 0.0266 | 0.8214 |
70.4296 | 70500 | 0.0007 | 0.0266 | 0.8218 |
70.5295 | 70600 | 0.0007 | 0.0265 | 0.8221 |
70.6294 | 70700 | 0.0006 | 0.0265 | 0.8219 |
70.7293 | 70800 | 0.0006 | 0.0266 | 0.8215 |
70.8292 | 70900 | 0.0008 | 0.0266 | 0.8215 |
70.9291 | 71000 | 0.0008 | 0.0266 | 0.8217 |
71.0290 | 71100 | 0.0007 | 0.0266 | 0.8215 |
71.1289 | 71200 | 0.0006 | 0.0266 | 0.8215 |
71.2288 | 71300 | 0.0006 | 0.0266 | 0.8216 |
71.3287 | 71400 | 0.0007 | 0.0267 | 0.8206 |
71.4286 | 71500 | 0.0006 | 0.0266 | 0.8215 |
71.5285 | 71600 | 0.0007 | 0.0265 | 0.8213 |
71.6284 | 71700 | 0.0007 | 0.0265 | 0.8218 |
71.7283 | 71800 | 0.0007 | 0.0266 | 0.8210 |
71.8282 | 71900 | 0.0007 | 0.0266 | 0.8211 |
71.9281 | 72000 | 0.0008 | 0.0266 | 0.8210 |
72.0280 | 72100 | 0.0006 | 0.0266 | 0.8212 |
72.1279 | 72200 | 0.0006 | 0.0267 | 0.8206 |
72.2278 | 72300 | 0.0007 | 0.0265 | 0.8214 |
72.3277 | 72400 | 0.0007 | 0.0267 | 0.8207 |
72.4276 | 72500 | 0.0006 | 0.0266 | 0.8210 |
72.5275 | 72600 | 0.0007 | 0.0265 | 0.8216 |
72.6274 | 72700 | 0.0006 | 0.0265 | 0.8217 |
72.7273 | 72800 | 0.0006 | 0.0267 | 0.8209 |
72.8272 | 72900 | 0.0007 | 0.0265 | 0.8218 |
72.9271 | 73000 | 0.0006 | 0.0266 | 0.8214 |
73.0270 | 73100 | 0.0006 | 0.0265 | 0.8216 |
73.1269 | 73200 | 0.0006 | 0.0264 | 0.8225 |
73.2268 | 73300 | 0.0006 | 0.0265 | 0.8218 |
73.3267 | 73400 | 0.0006 | 0.0265 | 0.8225 |
73.4266 | 73500 | 0.0006 | 0.0265 | 0.8219 |
73.5265 | 73600 | 0.0006 | 0.0265 | 0.8221 |
73.6264 | 73700 | 0.0006 | 0.0265 | 0.8216 |
73.7263 | 73800 | 0.0007 | 0.0265 | 0.8216 |
73.8262 | 73900 | 0.0006 | 0.0266 | 0.8211 |
73.9261 | 74000 | 0.0006 | 0.0266 | 0.8215 |
74.0260 | 74100 | 0.0007 | 0.0266 | 0.8211 |
74.1259 | 74200 | 0.0007 | 0.0265 | 0.8213 |
74.2258 | 74300 | 0.0006 | 0.0266 | 0.8214 |
74.3257 | 74400 | 0.0006 | 0.0265 | 0.8219 |
74.4256 | 74500 | 0.0006 | 0.0265 | 0.8221 |
74.5255 | 74600 | 0.0006 | 0.0266 | 0.8218 |
74.6254 | 74700 | 0.0006 | 0.0264 | 0.8224 |
74.7253 | 74800 | 0.0006 | 0.0265 | 0.8224 |
74.8252 | 74900 | 0.0007 | 0.0264 | 0.8225 |
74.9251 | 75000 | 0.0006 | 0.0265 | 0.8223 |
75.0250 | 75100 | 0.0006 | 0.0265 | 0.8222 |
75.1249 | 75200 | 0.0006 | 0.0264 | 0.8220 |
75.2248 | 75300 | 0.0006 | 0.0265 | 0.8225 |
75.3247 | 75400 | 0.0006 | 0.0265 | 0.8223 |
75.4246 | 75500 | 0.0006 | 0.0265 | 0.8220 |
75.5245 | 75600 | 0.0006 | 0.0265 | 0.8219 |
75.6244 | 75700 | 0.0007 | 0.0265 | 0.8213 |
75.7243 | 75800 | 0.0006 | 0.0266 | 0.8216 |
75.8242 | 75900 | 0.0007 | 0.0265 | 0.8215 |
75.9241 | 76000 | 0.0006 | 0.0265 | 0.8222 |
76.0240 | 76100 | 0.0006 | 0.0266 | 0.8210 |
76.1239 | 76200 | 0.0006 | 0.0267 | 0.8212 |
76.2238 | 76300 | 0.0006 | 0.0266 | 0.8211 |
76.3237 | 76400 | 0.0006 | 0.0266 | 0.8213 |
76.4236 | 76500 | 0.0006 | 0.0266 | 0.8211 |
76.5235 | 76600 | 0.0006 | 0.0266 | 0.8217 |
76.6234 | 76700 | 0.0006 | 0.0264 | 0.8221 |
76.7233 | 76800 | 0.0006 | 0.0265 | 0.8218 |
76.8232 | 76900 | 0.0006 | 0.0264 | 0.8226 |
76.9231 | 77000 | 0.0006 | 0.0264 | 0.8224 |
77.0230 | 77100 | 0.0006 | 0.0264 | 0.8223 |
77.1229 | 77200 | 0.0006 | 0.0265 | 0.8218 |
77.2228 | 77300 | 0.0006 | 0.0266 | 0.8215 |
77.3227 | 77400 | 0.0006 | 0.0265 | 0.8218 |
77.4226 | 77500 | 0.0006 | 0.0266 | 0.8211 |
77.5225 | 77600 | 0.0006 | 0.0266 | 0.8215 |
77.6224 | 77700 | 0.0006 | 0.0265 | 0.8216 |
77.7223 | 77800 | 0.0006 | 0.0267 | 0.8206 |
77.8222 | 77900 | 0.0006 | 0.0265 | 0.8219 |
77.9221 | 78000 | 0.0007 | 0.0265 | 0.8219 |
78.0220 | 78100 | 0.0007 | 0.0265 | 0.8218 |
78.1219 | 78200 | 0.0006 | 0.0265 | 0.8222 |
78.2218 | 78300 | 0.0006 | 0.0265 | 0.8222 |
78.3217 | 78400 | 0.0007 | 0.0265 | 0.8221 |
78.4216 | 78500 | 0.0005 | 0.0265 | 0.8221 |
78.5215 | 78600 | 0.0006 | 0.0265 | 0.8219 |
78.6214 | 78700 | 0.0005 | 0.0264 | 0.8224 |
78.7213 | 78800 | 0.0007 | 0.0265 | 0.8218 |
78.8212 | 78900 | 0.0006 | 0.0265 | 0.8221 |
78.9211 | 79000 | 0.0006 | 0.0265 | 0.8220 |
79.0210 | 79100 | 0.0006 | 0.0264 | 0.8225 |
79.1209 | 79200 | 0.0006 | 0.0264 | 0.8222 |
79.2208 | 79300 | 0.0005 | 0.0264 | 0.8224 |
79.3207 | 79400 | 0.0005 | 0.0265 | 0.8220 |
79.4206 | 79500 | 0.0007 | 0.0265 | 0.8219 |
79.5205 | 79600 | 0.0006 | 0.0265 | 0.8224 |
79.6204 | 79700 | 0.0005 | 0.0265 | 0.8224 |
79.7203 | 79800 | 0.0006 | 0.0265 | 0.8220 |
79.8202 | 79900 | 0.0006 | 0.0266 | 0.8215 |
79.9201 | 80000 | 0.0006 | 0.0266 | 0.8216 |
80.0200 | 80100 | 0.0005 | 0.0265 | 0.8215 |
80.1199 | 80200 | 0.0005 | 0.0266 | 0.8211 |
80.2198 | 80300 | 0.0006 | 0.0266 | 0.8216 |
80.3197 | 80400 | 0.0005 | 0.0266 | 0.8212 |
80.4196 | 80500 | 0.0006 | 0.0265 | 0.8219 |
80.5195 | 80600 | 0.0006 | 0.0266 | 0.8214 |
80.6194 | 80700 | 0.0006 | 0.0265 | 0.8222 |
80.7193 | 80800 | 0.0005 | 0.0265 | 0.8214 |
80.8192 | 80900 | 0.0006 | 0.0265 | 0.8217 |
80.9191 | 81000 | 0.0006 | 0.0265 | 0.8217 |
81.0190 | 81100 | 0.0006 | 0.0264 | 0.8220 |
81.1189 | 81200 | 0.0005 | 0.0265 | 0.8219 |
81.2188 | 81300 | 0.0006 | 0.0265 | 0.8221 |
81.3187 | 81400 | 0.0006 | 0.0265 | 0.8218 |
81.4186 | 81500 | 0.0005 | 0.0265 | 0.8220 |
81.5185 | 81600 | 0.0005 | 0.0265 | 0.8218 |
81.6184 | 81700 | 0.0006 | 0.0265 | 0.8215 |
81.7183 | 81800 | 0.0006 | 0.0266 | 0.8212 |
81.8182 | 81900 | 0.0006 | 0.0266 | 0.8210 |
81.9181 | 82000 | 0.0005 | 0.0265 | 0.8211 |
82.0180 | 82100 | 0.0006 | 0.0266 | 0.8214 |
82.1179 | 82200 | 0.0006 | 0.0266 | 0.8214 |
82.2178 | 82300 | 0.0006 | 0.0266 | 0.8212 |
82.3177 | 82400 | 0.0006 | 0.0266 | 0.8209 |
82.4176 | 82500 | 0.0006 | 0.0266 | 0.8213 |
82.5175 | 82600 | 0.0005 | 0.0266 | 0.8214 |
82.6174 | 82700 | 0.0006 | 0.0265 | 0.8219 |
82.7173 | 82800 | 0.0006 | 0.0265 | 0.8215 |
82.8172 | 82900 | 0.0005 | 0.0266 | 0.8215 |
82.9171 | 83000 | 0.0005 | 0.0266 | 0.8216 |
83.0170 | 83100 | 0.0005 | 0.0266 | 0.8209 |
83.1169 | 83200 | 0.0005 | 0.0265 | 0.8218 |
83.2168 | 83300 | 0.0005 | 0.0267 | 0.8209 |
83.3167 | 83400 | 0.0006 | 0.0265 | 0.8214 |
83.4166 | 83500 | 0.0006 | 0.0265 | 0.8217 |
83.5165 | 83600 | 0.0006 | 0.0265 | 0.8213 |
83.6164 | 83700 | 0.0006 | 0.0266 | 0.8212 |
83.7163 | 83800 | 0.0006 | 0.0266 | 0.8213 |
83.8162 | 83900 | 0.0006 | 0.0266 | 0.8215 |
83.9161 | 84000 | 0.0005 | 0.0266 | 0.8212 |
84.0160 | 84100 | 0.0006 | 0.0265 | 0.8215 |
84.1159 | 84200 | 0.0005 | 0.0266 | 0.8216 |
84.2158 | 84300 | 0.0005 | 0.0265 | 0.8215 |
84.3157 | 84400 | 0.0005 | 0.0265 | 0.8216 |
84.4156 | 84500 | 0.0006 | 0.0265 | 0.8219 |
84.5155 | 84600 | 0.0006 | 0.0265 | 0.8219 |
84.6154 | 84700 | 0.0006 | 0.0264 | 0.8222 |
84.7153 | 84800 | 0.0006 | 0.0265 | 0.8218 |
84.8152 | 84900 | 0.0005 | 0.0265 | 0.8214 |
84.9151 | 85000 | 0.0006 | 0.0265 | 0.8214 |
85.0150 | 85100 | 0.0005 | 0.0265 | 0.8215 |
85.1149 | 85200 | 0.0006 | 0.0265 | 0.8219 |
85.2148 | 85300 | 0.0005 | 0.0265 | 0.8214 |
85.3147 | 85400 | 0.0006 | 0.0265 | 0.8212 |
85.4146 | 85500 | 0.0005 | 0.0265 | 0.8211 |
85.5145 | 85600 | 0.0006 | 0.0265 | 0.8218 |
85.6144 | 85700 | 0.0005 | 0.0265 | 0.8219 |
85.7143 | 85800 | 0.0005 | 0.0265 | 0.8217 |
85.8142 | 85900 | 0.0005 | 0.0266 | 0.8213 |
85.9141 | 86000 | 0.0006 | 0.0266 | 0.8210 |
86.0140 | 86100 | 0.0007 | 0.0266 | 0.8210 |
86.1139 | 86200 | 0.0005 | 0.0265 | 0.8215 |
86.2138 | 86300 | 0.0006 | 0.0266 | 0.8211 |
86.3137 | 86400 | 0.0005 | 0.0266 | 0.8215 |
86.4136 | 86500 | 0.0005 | 0.0266 | 0.8216 |
86.5135 | 86600 | 0.0006 | 0.0265 | 0.8217 |
86.6134 | 86700 | 0.0005 | 0.0266 | 0.8216 |
86.7133 | 86800 | 0.0005 | 0.0265 | 0.8216 |
86.8132 | 86900 | 0.0006 | 0.0265 | 0.8215 |
86.9131 | 87000 | 0.0005 | 0.0265 | 0.8218 |
87.0130 | 87100 | 0.0005 | 0.0265 | 0.8216 |
87.1129 | 87200 | 0.0006 | 0.0265 | 0.8217 |
87.2128 | 87300 | 0.0005 | 0.0265 | 0.8216 |
87.3127 | 87400 | 0.0005 | 0.0266 | 0.8213 |
87.4126 | 87500 | 0.0006 | 0.0266 | 0.8215 |
87.5125 | 87600 | 0.0005 | 0.0265 | 0.8219 |
87.6124 | 87700 | 0.0005 | 0.0265 | 0.8219 |
87.7123 | 87800 | 0.0005 | 0.0265 | 0.8217 |
87.8122 | 87900 | 0.0005 | 0.0265 | 0.8220 |
87.9121 | 88000 | 0.0005 | 0.0265 | 0.8219 |
88.0120 | 88100 | 0.0005 | 0.0265 | 0.8219 |
88.1119 | 88200 | 0.0005 | 0.0265 | 0.8219 |
88.2118 | 88300 | 0.0005 | 0.0265 | 0.8215 |
88.3117 | 88400 | 0.0006 | 0.0265 | 0.8221 |
88.4116 | 88500 | 0.0006 | 0.0265 | 0.8217 |
88.5115 | 88600 | 0.0005 | 0.0265 | 0.8217 |
88.6114 | 88700 | 0.0005 | 0.0265 | 0.8220 |
88.7113 | 88800 | 0.0005 | 0.0265 | 0.8221 |
88.8112 | 88900 | 0.0005 | 0.0265 | 0.8216 |
88.9111 | 89000 | 0.0005 | 0.0265 | 0.8214 |
89.0110 | 89100 | 0.0005 | 0.0265 | 0.8215 |
89.1109 | 89200 | 0.0005 | 0.0264 | 0.8221 |
89.2108 | 89300 | 0.0005 | 0.0265 | 0.8218 |
89.3107 | 89400 | 0.0005 | 0.0265 | 0.8218 |
89.4106 | 89500 | 0.0005 | 0.0265 | 0.8217 |
89.5105 | 89600 | 0.0006 | 0.0265 | 0.8218 |
89.6104 | 89700 | 0.0005 | 0.0265 | 0.8219 |
89.7103 | 89800 | 0.0005 | 0.0264 | 0.8221 |
89.8102 | 89900 | 0.0005 | 0.0265 | 0.8218 |
89.9101 | 90000 | 0.0005 | 0.0265 | 0.8219 |
90.0100 | 90100 | 0.0005 | 0.0265 | 0.8214 |
90.1099 | 90200 | 0.0005 | 0.0265 | 0.8217 |
90.2098 | 90300 | 0.0006 | 0.0265 | 0.8220 |
90.3097 | 90400 | 0.0005 | 0.0265 | 0.8217 |
90.4096 | 90500 | 0.0005 | 0.0265 | 0.8217 |
90.5095 | 90600 | 0.0005 | 0.0265 | 0.8214 |
90.6094 | 90700 | 0.0005 | 0.0265 | 0.8218 |
90.7093 | 90800 | 0.0005 | 0.0265 | 0.8215 |
90.8092 | 90900 | 0.0005 | 0.0265 | 0.8217 |
90.9091 | 91000 | 0.0005 | 0.0265 | 0.8216 |
91.0090 | 91100 | 0.0006 | 0.0265 | 0.8216 |
91.1089 | 91200 | 0.0005 | 0.0265 | 0.8218 |
91.2088 | 91300 | 0.0005 | 0.0265 | 0.8216 |
91.3087 | 91400 | 0.0005 | 0.0265 | 0.8217 |
91.4086 | 91500 | 0.0005 | 0.0265 | 0.8218 |
91.5085 | 91600 | 0.0005 | 0.0265 | 0.8215 |
91.6084 | 91700 | 0.0005 | 0.0265 | 0.8216 |
91.7083 | 91800 | 0.0005 | 0.0265 | 0.8214 |
91.8082 | 91900 | 0.0006 | 0.0265 | 0.8214 |
91.9081 | 92000 | 0.0005 | 0.0265 | 0.8215 |
92.0080 | 92100 | 0.0005 | 0.0265 | 0.8214 |
92.1079 | 92200 | 0.0005 | 0.0266 | 0.8213 |
92.2078 | 92300 | 0.0005 | 0.0266 | 0.8212 |
92.3077 | 92400 | 0.0005 | 0.0266 | 0.8209 |
92.4076 | 92500 | 0.0005 | 0.0266 | 0.8213 |
92.5075 | 92600 | 0.0006 | 0.0265 | 0.8216 |
92.6074 | 92700 | 0.0005 | 0.0266 | 0.8213 |
92.7073 | 92800 | 0.0005 | 0.0265 | 0.8216 |
92.8072 | 92900 | 0.0005 | 0.0265 | 0.8215 |
92.9071 | 93000 | 0.0005 | 0.0266 | 0.8211 |
93.0070 | 93100 | 0.0005 | 0.0265 | 0.8216 |
93.1069 | 93200 | 0.0005 | 0.0265 | 0.8216 |
93.2068 | 93300 | 0.0005 | 0.0265 | 0.8218 |
93.3067 | 93400 | 0.0005 | 0.0265 | 0.8221 |
93.4066 | 93500 | 0.0005 | 0.0265 | 0.8218 |
93.5065 | 93600 | 0.0005 | 0.0265 | 0.8219 |
93.6064 | 93700 | 0.0006 | 0.0265 | 0.8220 |
93.7063 | 93800 | 0.0005 | 0.0265 | 0.8217 |
93.8062 | 93900 | 0.0005 | 0.0265 | 0.8216 |
93.9061 | 94000 | 0.0005 | 0.0265 | 0.8215 |
94.0060 | 94100 | 0.0005 | 0.0265 | 0.8215 |
94.1059 | 94200 | 0.0005 | 0.0265 | 0.8215 |
94.2058 | 94300 | 0.0005 | 0.0265 | 0.8217 |
94.3057 | 94400 | 0.0005 | 0.0265 | 0.8214 |
94.4056 | 94500 | 0.0006 | 0.0265 | 0.8216 |
94.5055 | 94600 | 0.0005 | 0.0265 | 0.8217 |
94.6054 | 94700 | 0.0005 | 0.0265 | 0.8214 |
94.7053 | 94800 | 0.0005 | 0.0265 | 0.8216 |
94.8052 | 94900 | 0.0005 | 0.0265 | 0.8219 |
94.9051 | 95000 | 0.0005 | 0.0265 | 0.8216 |
95.0050 | 95100 | 0.0005 | 0.0265 | 0.8217 |
95.1049 | 95200 | 0.0006 | 0.0265 | 0.8217 |
95.2048 | 95300 | 0.0005 | 0.0265 | 0.8218 |
95.3047 | 95400 | 0.0005 | 0.0265 | 0.8220 |
95.4046 | 95500 | 0.0005 | 0.0265 | 0.8220 |
95.5045 | 95600 | 0.0005 | 0.0265 | 0.8220 |
95.6044 | 95700 | 0.0005 | 0.0265 | 0.8219 |
95.7043 | 95800 | 0.0005 | 0.0265 | 0.8220 |
95.8042 | 95900 | 0.0004 | 0.0265 | 0.8218 |
95.9041 | 96000 | 0.0004 | 0.0265 | 0.8219 |
96.0040 | 96100 | 0.0005 | 0.0265 | 0.8218 |
96.1039 | 96200 | 0.0005 | 0.0265 | 0.8219 |
96.2038 | 96300 | 0.0005 | 0.0265 | 0.8219 |
96.3037 | 96400 | 0.0006 | 0.0265 | 0.8218 |
96.4036 | 96500 | 0.0005 | 0.0265 | 0.8219 |
96.5035 | 96600 | 0.0005 | 0.0265 | 0.8215 |
96.6034 | 96700 | 0.0005 | 0.0265 | 0.8215 |
96.7033 | 96800 | 0.0005 | 0.0265 | 0.8215 |
96.8032 | 96900 | 0.0005 | 0.0265 | 0.8214 |
96.9031 | 97000 | 0.0005 | 0.0265 | 0.8216 |
97.0030 | 97100 | 0.0005 | 0.0265 | 0.8217 |
97.1029 | 97200 | 0.0004 | 0.0265 | 0.8216 |
97.2028 | 97300 | 0.0005 | 0.0265 | 0.8218 |
97.3027 | 97400 | 0.0005 | 0.0265 | 0.8218 |
97.4026 | 97500 | 0.0005 | 0.0265 | 0.8218 |
97.5025 | 97600 | 0.0005 | 0.0265 | 0.8217 |
97.6024 | 97700 | 0.0005 | 0.0265 | 0.8217 |
97.7023 | 97800 | 0.0005 | 0.0265 | 0.8216 |
97.8022 | 97900 | 0.0005 | 0.0265 | 0.8217 |
97.9021 | 98000 | 0.0005 | 0.0265 | 0.8217 |
98.0020 | 98100 | 0.0006 | 0.0265 | 0.8215 |
98.1019 | 98200 | 0.0005 | 0.0265 | 0.8216 |
98.2018 | 98300 | 0.0005 | 0.0265 | 0.8217 |
98.3017 | 98400 | 0.0005 | 0.0265 | 0.8216 |
98.4016 | 98500 | 0.0005 | 0.0265 | 0.8216 |
98.5015 | 98600 | 0.0005 | 0.0265 | 0.8216 |
98.6014 | 98700 | 0.0005 | 0.0265 | 0.8216 |
98.7013 | 98800 | 0.0005 | 0.0265 | 0.8215 |
98.8012 | 98900 | 0.0005 | 0.0265 | 0.8216 |
98.9011 | 99000 | 0.0005 | 0.0265 | 0.8216 |
99.0010 | 99100 | 0.0005 | 0.0265 | 0.8216 |
99.1009 | 99200 | 0.0005 | 0.0265 | 0.8217 |
99.2008 | 99300 | 0.0005 | 0.0265 | 0.8217 |
99.3007 | 99400 | 0.0004 | 0.0265 | 0.8217 |
99.4006 | 99500 | 0.0005 | 0.0265 | 0.8217 |
99.5005 | 99600 | 0.0004 | 0.0265 | 0.8216 |
99.6004 | 99700 | 0.0005 | 0.0265 | 0.8216 |
99.7003 | 99800 | 0.0005 | 0.0265 | 0.8216 |
99.8002 | 99900 | 0.0005 | 0.0265 | 0.8216 |
99.9001 | 100000 | 0.0005 | 0.0265 | 0.8216 |
100.0 | 100100 | 0.0005 | 0.0265 | 0.8216 |
Framework Versions
- Python: 3.10.12
- Sentence Transformers: 3.0.1
- Transformers: 4.41.2
- PyTorch: 2.0.1+cu118
- Accelerate: 0.31.0
- Datasets: 2.20.0
- Tokenizers: 0.19.1
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",
}
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Model tree for Mihaiii/test34
Dataset used to train Mihaiii/test34
Evaluation results
- Pearson Cosine on sts devself-reported0.823
- Spearman Cosine on sts devself-reported0.822
- Pearson Manhattan on sts devself-reported0.814
- Spearman Manhattan on sts devself-reported0.819
- Pearson Euclidean on sts devself-reported0.816
- Spearman Euclidean on sts devself-reported0.821
- Pearson Dot on sts devself-reported0.808
- Spearman Dot on sts devself-reported0.811
- Pearson Max on sts devself-reported0.823
- Spearman Max on sts devself-reported0.822