SentenceTransformer based on sentence-transformers/all-MiniLM-L6-v2

This is a sentence-transformers model finetuned from sentence-transformers/all-MiniLM-L6-v2. 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: sentence-transformers/all-MiniLM-L6-v2
Maximum Sequence Length: 128 tokens
Output Dimensionality: 384 dimensions
Similarity Function: Cosine Similarity

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': 128, '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})
  (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 = [
    'Now, as I said these are my times.',
    'Además, como os dije, son Mis Tiempos.',
    'Sí, es bastante terrible.',
]
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

Knowledge Distillation

Datasets: mse_evaluation-en-es, mse_evaluation-en-ja, mse_evaluation-en-pt and mse_evaluation-en-pt-br
Evaluated with MSEEvaluator

Metric	mse_evaluation-en-es	mse_evaluation-en-ja	mse_evaluation-en-pt	mse_evaluation-en-pt-br
negative_mse	-0.1191	-0.1549	-0.1118	-0.1012

Translation

Datasets: translation_evaluation-en-es, translation_evaluation-en-ja, translation_evaluation-en-pt and translation_evaluation-en-pt-br
Evaluated with TranslationEvaluator

Metric	translation_evaluation-en-es	translation_evaluation-en-ja	translation_evaluation-en-pt	translation_evaluation-en-pt-br
src2trg_accuracy	0.922	0.8095	0.9441	0.97
trg2src_accuracy	0.9154	0.7892	0.9385	0.9658
mean_accuracy	0.9187	0.7994	0.9413	0.9679

Semantic Similarity

Dataset: sts17-es-en
Evaluated with EmbeddingSimilarityEvaluator

Metric	Value
pearson_cosine	0.8047
spearman_cosine	0.8068

Training Details

Training Dataset

Unnamed Dataset

Size: 42,486,792 training samples
Columns: english, non_english, and label
Approximate statistics based on the first 1000 samples:
english non_english label
type string string list
details
min: 5 tokens
mean: 82.75 tokens
max: 128 tokens

min: 5 tokens
mean: 85.47 tokens
max: 128 tokens

size: 384 elements

	english	non_english	label
type	string	string	list
details	min: 5 tokens mean: 82.75 tokens max: 128 tokens	min: 5 tokens mean: 85.47 tokens max: 128 tokens	size: 384 elements

Samples:

english	non_english	label
`Unlike last year, the eye of the storm this year is Sindh where flood waters have razed in numerous villages and displaced millions.`	`A diferencia del año pasado, el ojo de la tormenta este año está en Sindh , donde las aguas de las inundaciones han arrasado numerosas aldeas y desplazado a millones.`	`[-0.04603199288249016, -0.04330049827694893, 0.038921743631362915, 0.03481763228774071, -0.007099362090229988, ...]`
`Spotted taxis to Jeradda.`	`Vi taxis a Jeradda.`	`[0.06936145573854446, 0.01610134169459343, 0.021374359726905823, 0.011720788665115833, -0.01906059868633747, ...]`
`The page has also inspired several other copycat pages on Facebook with similar titles`	`Asimismo, la página ha inspirado otras páginas imitadoras en Facebook con títulos similares.`	`[-0.0828736200928688, -0.06613872200250626, -0.05003223940730095, -0.07075371593236923, 0.08548341691493988, ...]`

Loss: MSELoss

Evaluation Dataset

Unnamed Dataset

Size: 40,000 evaluation samples
Columns: english, non_english, and label
Approximate statistics based on the first 1000 samples:
english non_english label
type string string list
details
min: 6 tokens
mean: 67.26 tokens
max: 128 tokens

min: 6 tokens
mean: 69.45 tokens
max: 128 tokens

size: 384 elements

	english	non_english	label
type	string	string	list
details	min: 6 tokens mean: 67.26 tokens max: 128 tokens	min: 6 tokens mean: 69.45 tokens max: 128 tokens	size: 384 elements

Samples:

english	non_english	label
`Ten dollars, and you needn't wrap it.`	`- Diez dólares, y no necesita envolverlo.`	`[-0.025465313345193863, 0.12903831899166107, 0.06793854385614395, 0.07670571655035019, -0.03948192670941353, ...]`
`Today only the highest tides embrace the island’s rocky ramparts.`	`Hoy día, el rocoso zócalo de la isla solo se ve rodeado totalmente de agua cuando las mareas son muy altas.`	`[0.034126441925764084, 0.01583482138812542, 0.055746566504240036, -0.11121587455272675, -0.010824120603501797, ...]`
`In any home with original wood floors, the homeowner considering home improvement projects, should avoid replacing the floors, at all cost.`	`En cualquier hogar con pisos de madera originales, el propietario que considere proyectos de mejoras para el hogar debe evitar reemplazar los pisos a toda costa.`	`[-0.037685196846723557, 0.009506099857389927, 0.1568138748407364, 0.05717608705163002, -0.015698159113526344, ...]`

Loss: MSELoss

Training Hyperparameters

Non-Default Hyperparameters

eval_strategy: steps
per_device_train_batch_size: 512
per_device_eval_batch_size: 512
gradient_accumulation_steps: 2
learning_rate: 0.0007
num_train_epochs: 8
warmup_ratio: 0.15
bf16: True
dataloader_num_workers: 8

All Hyperparameters

Click to expand

overwrite_output_dir: False
do_predict: False
eval_strategy: steps
prediction_loss_only: True
per_device_train_batch_size: 512
per_device_eval_batch_size: 512
per_gpu_train_batch_size: None
per_gpu_eval_batch_size: None
gradient_accumulation_steps: 2
eval_accumulation_steps: None
torch_empty_cache_steps: None
learning_rate: 0.0007
weight_decay: 0.0
adam_beta1: 0.9
adam_beta2: 0.999
adam_epsilon: 1e-08
max_grad_norm: 1.0
num_train_epochs: 8
max_steps: -1
lr_scheduler_type: linear
lr_scheduler_kwargs: {}
warmup_ratio: 0.15
warmup_steps: 0
log_level: passive
log_level_replica: warning
log_on_each_node: True
logging_nan_inf_filter: True
save_safetensors: 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: 8
dataloader_prefetch_factor: None
past_index: -1
disable_tqdm: False
remove_unused_columns: True
label_names: None
load_best_model_at_end: False
ignore_data_skip: False
fsdp: []
fsdp_min_num_params: 0
fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
fsdp_transformer_layer_cls_to_wrap: None
accelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
deepspeed: None
label_smoothing_factor: 0.0
optim: adamw_torch
optim_args: None
adafactor: False
group_by_length: False
length_column_name: length
ddp_find_unused_parameters: None
ddp_bucket_cap_mb: None
ddp_broadcast_buffers: False
dataloader_pin_memory: True
dataloader_persistent_workers: False
skip_memory_metrics: True
use_legacy_prediction_loop: False
push_to_hub: 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	mse_evaluation-en-es_negative_mse	translation_evaluation-en-es_mean_accuracy	mse_evaluation-en-ja_negative_mse	translation_evaluation-en-ja_mean_accuracy	mse_evaluation-en-pt_negative_mse	translation_evaluation-en-pt_mean_accuracy	mse_evaluation-en-pt-br_negative_mse	translation_evaluation-en-pt-br_mean_accuracy	sts17-es-en_spearman_cosine
0.0121	500	0.0042	-	-	-	-	-	-	-	-	-	-
0.0241	1000	0.0038	-	-	-	-	-	-	-	-	-	-
0.0362	1500	0.0036	-	-	-	-	-	-	-	-	-	-
0.0482	2000	0.0035	0.0035	-0.35508493	0.1044	-0.345821	0.0226	-0.35538134	0.1054	-0.36269745	0.0581	0.0539
0.0603	2500	0.0034	-	-	-	-	-	-	-	-	-	-
0.0723	3000	0.0034	-	-	-	-	-	-	-	-	-	-
0.0844	3500	0.0033	-	-	-	-	-	-	-	-	-	-
0.0964	4000	0.0031	0.0031	-0.32759422	0.2046	-0.30827525	0.0743	-0.32640815	0.2252	-0.33769488	0.1375	0.1724
0.1085	4500	0.003	-	-	-	-	-	-	-	-	-	-
0.1205	5000	0.0029	-	-	-	-	-	-	-	-	-	-
0.1326	5500	0.0028	-	-	-	-	-	-	-	-	-	-
0.1446	6000	0.0026	0.0026	-0.28074265	0.4404	-0.2739771	0.2272	-0.27682656	0.4763	-0.28007567	0.4262	0.2520
0.1567	6500	0.0025	-	-	-	-	-	-	-	-	-	-
0.1687	7000	0.0024	-	-	-	-	-	-	-	-	-	-
0.1808	7500	0.0023	-	-	-	-	-	-	-	-	-	-
0.1928	8000	0.0022	0.0022	-0.24238466	0.6402	-0.250028	0.4011	-0.23702262	0.6861	-0.23575558	0.6896	0.4044
0.2049	8500	0.0021	-	-	-	-	-	-	-	-	-	-
0.2169	9000	0.002	-	-	-	-	-	-	-	-	-	-
0.2290	9500	0.002	-	-	-	-	-	-	-	-	-	-
0.2410	10000	0.0019	0.0019	-0.21600094	0.7464	-0.23278284	0.5273	-0.2099319	0.7992	-0.20614047	0.8173	0.4959
0.2531	10500	0.0018	-	-	-	-	-	-	-	-	-	-
0.2651	11000	0.0018	-	-	-	-	-	-	-	-	-	-
0.2772	11500	0.0017	-	-	-	-	-	-	-	-	-	-
0.2892	12000	0.0017	0.0017	-0.19793294	0.8062	-0.21972491	0.6026	-0.19116218	0.8539	-0.1857133	0.8777	0.5842
0.3013	12500	0.0017	-	-	-	-	-	-	-	-	-	-
0.3133	13000	0.0016	-	-	-	-	-	-	-	-	-	-
0.3254	13500	0.0016	-	-	-	-	-	-	-	-	-	-
0.3374	14000	0.0016	0.0015	-0.18555729	0.837	-0.20980006	0.6562	-0.17861626	0.8804	-0.17186877	0.9057	0.5879
0.3495	14500	0.0015	-	-	-	-	-	-	-	-	-	-
0.3615	15000	0.0015	-	-	-	-	-	-	-	-	-	-
0.3736	15500	0.0015	-	-	-	-	-	-	-	-	-	-
0.3856	16000	0.0015	0.0015	-0.17644796	0.8528	-0.20250218	0.6862	-0.16946189	0.8943	-0.16206862	0.9194	0.6320
0.3977	16500	0.0014	-	-	-	-	-	-	-	-	-	-
0.4097	17000	0.0014	-	-	-	-	-	-	-	-	-	-
0.4218	17500	0.0014	-	-	-	-	-	-	-	-	-	-
0.4338	18000	0.0014	0.0014	-0.16973971	0.8649	-0.19682825	0.7094	-0.1622974	0.9023	-0.15417953	0.9314	0.6597
0.4459	18500	0.0014	-	-	-	-	-	-	-	-	-	-
0.4579	19000	0.0014	-	-	-	-	-	-	-	-	-	-
0.4700	19500	0.0013	-	-	-	-	-	-	-	-	-	-
0.4820	20000	0.0013	0.0013	-0.1641007	0.8754	-0.19244926	0.7223	-0.15692376	0.9096	-0.14865807	0.9357	0.6557
0.4941	20500	0.0013	-	-	-	-	-	-	-	-	-	-
0.5061	21000	0.0013	-	-	-	-	-	-	-	-	-	-
0.5182	21500	0.0013	-	-	-	-	-	-	-	-	-	-
0.5302	22000	0.0013	0.0013	-0.16010879	0.8824	-0.18902606	0.7329	-0.15269552	0.9164	-0.1445241	0.9423	0.6788
0.5423	22500	0.0013	-	-	-	-	-	-	-	-	-	-
0.5543	23000	0.0013	-	-	-	-	-	-	-	-	-	-
0.5664	23500	0.0013	-	-	-	-	-	-	-	-	-	-
0.5784	24000	0.0013	0.0012	-0.15626982	0.8879	-0.18592793	0.7426	-0.14891902	0.9192	-0.14027934	0.9467	0.6883
0.5905	24500	0.0012	-	-	-	-	-	-	-	-	-	-
0.6025	25000	0.0012	-	-	-	-	-	-	-	-	-	-
0.6146	25500	0.0012	-	-	-	-	-	-	-	-	-	-
0.6266	26000	0.0012	0.0012	-0.15344332	0.8891	-0.18390918	0.7482	-0.14586583	0.9216	-0.13747723	0.9477	0.7095
0.6387	26500	0.0012	-	-	-	-	-	-	-	-	-	-
0.6507	27000	0.0012	-	-	-	-	-	-	-	-	-	-
0.6628	27500	0.0012	-	-	-	-	-	-	-	-	-	-
0.6748	28000	0.0012	0.0012	-0.15076707	0.8939	-0.18109618	0.7509	-0.14325207	0.9234	-0.13490975	0.9493	0.7036
0.6869	28500	0.0012	-	-	-	-	-	-	-	-	-	-
0.6989	29000	0.0012	-	-	-	-	-	-	-	-	-	-
0.7110	29500	0.0012	-	-	-	-	-	-	-	-	-	-
0.7230	30000	0.0012	0.0012	-0.14896224	0.8944	-0.17983255	0.7557	-0.14149556	0.9246	-0.132603	0.9490	0.7129
0.7351	30500	0.0012	-	-	-	-	-	-	-	-	-	-
0.7471	31000	0.0012	-	-	-	-	-	-	-	-	-	-
0.7592	31500	0.0012	-	-	-	-	-	-	-	-	-	-
0.7712	32000	0.0012	0.0011	-0.14694206	0.8955	-0.17842062	0.7614	-0.13967048	0.9263	-0.13123229	0.9513	0.7013
0.7833	32500	0.0012	-	-	-	-	-	-	-	-	-	-
0.7953	33000	0.0012	-	-	-	-	-	-	-	-	-	-
0.8074	33500	0.0011	-	-	-	-	-	-	-	-	-	-
0.8194	34000	0.0011	0.0011	-0.1454922	0.8945	-0.17748986	0.7556	-0.13805814	0.9254	-0.12936664	0.9524	0.7257
0.8315	34500	0.0011	-	-	-	-	-	-	-	-	-	-
0.8435	35000	0.0011	-	-	-	-	-	-	-	-	-	-
0.8556	35500	0.0011	-	-	-	-	-	-	-	-	-	-
0.8676	36000	0.0011	0.0011	-0.14445642	0.8971	-0.17664495	0.7615	-0.13716568	0.9271	-0.12828766	0.9533	0.7131
0.8797	36500	0.0011	-	-	-	-	-	-	-	-	-	-
0.8917	37000	0.0011	-	-	-	-	-	-	-	-	-	-
0.9038	37500	0.0011	-	-	-	-	-	-	-	-	-	-
0.9159	38000	0.0011	0.0011	-0.14314517	0.9012	-0.17581795	0.7667	-0.13579074	0.9302	-0.12676515	0.9562	0.7359
0.9279	38500	0.0011	-	-	-	-	-	-	-	-	-	-
0.9400	39000	0.0011	-	-	-	-	-	-	-	-	-	-
0.9520	39500	0.0011	-	-	-	-	-	-	-	-	-	-
0.9641	40000	0.0011	0.0011	-0.14254755	0.9006	-0.1750687	0.7644	-0.13507749	0.9291	-0.12617145	0.9542	0.7330
0.9761	40500	0.0011	-	-	-	-	-	-	-	-	-	-
0.9882	41000	0.0011	-	-	-	-	-	-	-	-	-	-
1.0002	41500	0.0011	-	-	-	-	-	-	-	-	-	-
1.0122	42000	0.0011	0.0011	-0.14128892	0.9000	-0.17403208	0.7649	-0.13401924	0.9284	-0.12513307	0.9548	0.7308
1.0243	42500	0.0011	-	-	-	-	-	-	-	-	-	-
1.0363	43000	0.0011	-	-	-	-	-	-	-	-	-	-
1.0484	43500	0.0011	-	-	-	-	-	-	-	-	-	-
1.0604	44000	0.0011	0.0011	-0.14041829	0.9023	-0.17328069	0.7682	-0.13321185	0.9309	-0.12386437	0.9573	0.7363
1.0725	44500	0.0011	-	-	-	-	-	-	-	-	-	-
1.0845	45000	0.0011	-	-	-	-	-	-	-	-	-	-
1.0966	45500	0.0011	-	-	-	-	-	-	-	-	-	-
1.1086	46000	0.0011	0.0011	-0.13957697	0.9038	-0.17291096	0.7720	-0.13272946	0.9314	-0.123231634	0.9583	0.7416
1.1207	46500	0.0011	-	-	-	-	-	-	-	-	-	-
1.1328	47000	0.0011	-	-	-	-	-	-	-	-	-	-
1.1448	47500	0.0011	-	-	-	-	-	-	-	-	-	-
1.1569	48000	0.0011	0.0011	-0.13915654	0.9022	-0.17264983	0.7712	-0.13188739	0.9315	-0.12255446	0.9585	0.7480
1.1689	48500	0.0011	-	-	-	-	-	-	-	-	-	-
1.1810	49000	0.0011	-	-	-	-	-	-	-	-	-	-
1.1930	49500	0.0011	-	-	-	-	-	-	-	-	-	-
1.2051	50000	0.0011	0.0011	-0.13857917	0.9031	-0.1716077	0.7702	-0.13125975	0.9319	-0.122287326	0.9563	0.7390
1.2171	50500	0.0011	-	-	-	-	-	-	-	-	-	-
1.2292	51000	0.0011	-	-	-	-	-	-	-	-	-	-
1.2412	51500	0.0011	-	-	-	-	-	-	-	-	-	-
1.2533	52000	0.0011	0.0011	-0.13797507	0.9034	-0.17130753	0.7723	-0.13054648	0.9324	-0.1213307	0.9588	0.7455
1.2653	52500	0.0011	-	-	-	-	-	-	-	-	-	-
1.2774	53000	0.0011	-	-	-	-	-	-	-	-	-	-
1.2894	53500	0.0011	-	-	-	-	-	-	-	-	-	-
1.3015	54000	0.0011	0.0010	-0.13700894	0.9051	-0.17028779	0.7764	-0.12957357	0.933	-0.1200415	0.9599	0.7415
1.3135	54500	0.0011	-	-	-	-	-	-	-	-	-	-
1.3256	55000	0.0011	-	-	-	-	-	-	-	-	-	-
1.3376	55500	0.0011	-	-	-	-	-	-	-	-	-	-
1.3497	56000	0.0011	0.0010	-0.1366941	0.9043	-0.17053173	0.7723	-0.12935832	0.9324	-0.11995116	0.9586	0.7317
1.3617	56500	0.0011	-	-	-	-	-	-	-	-	-	-
1.3738	57000	0.001	-	-	-	-	-	-	-	-	-	-
1.3858	57500	0.001	-	-	-	-	-	-	-	-	-	-
1.3979	58000	0.001	0.0010	-0.13588469	0.9062	-0.16925466	0.7768	-0.12851879	0.9332	-0.11902682	0.9591	0.7458
1.4099	58500	0.001	-	-	-	-	-	-	-	-	-	-
1.4220	59000	0.001	-	-	-	-	-	-	-	-	-	-
1.4340	59500	0.001	-	-	-	-	-	-	-	-	-	-
1.4461	60000	0.001	0.0010	-0.13518032	0.9073	-0.16874488	0.7784	-0.12798062	0.9345	-0.11842741	0.9611	0.7551
1.4581	60500	0.001	-	-	-	-	-	-	-	-	-	-
1.4702	61000	0.001	-	-	-	-	-	-	-	-	-	-
1.4822	61500	0.001	-	-	-	-	-	-	-	-	-	-
1.4943	62000	0.001	0.0010	-0.1348745	0.9084	-0.16872144	0.7827	-0.12802373	0.9357	-0.11821093	0.9627	0.7503
1.5063	62500	0.001	-	-	-	-	-	-	-	-	-	-
1.5184	63000	0.001	-	-	-	-	-	-	-	-	-	-
1.5304	63500	0.001	-	-	-	-	-	-	-	-	-	-
1.5425	64000	0.001	0.0010	-0.13428834	0.9070	-0.16807956	0.7774	-0.12731507	0.9315	-0.11758353	0.9586	0.7487
1.5545	64500	0.001	-	-	-	-	-	-	-	-	-	-
1.5666	65000	0.001	-	-	-	-	-	-	-	-	-	-
1.5786	65500	0.001	-	-	-	-	-	-	-	-	-	-
1.5907	66000	0.001	0.0010	-0.13375127	0.9075	-0.16757816	0.7791	-0.12650031	0.9335	-0.11691947	0.9604	0.7532
1.6027	66500	0.001	-	-	-	-	-	-	-	-	-	-
1.6148	67000	0.001	-	-	-	-	-	-	-	-	-	-
1.6268	67500	0.001	-	-	-	-	-	-	-	-	-	-
1.6389	68000	0.001	0.0010	-0.13341795	0.9073	-0.1676532	0.7797	-0.12606923	0.9351	-0.116496995	0.9607	0.7481
1.6509	68500	0.001	-	-	-	-	-	-	-	-	-	-
1.6630	69000	0.001	-	-	-	-	-	-	-	-	-	-
1.6750	69500	0.001	-	-	-	-	-	-	-	-	-	-
1.6871	70000	0.001	0.0010	-0.13323851	0.9095	-0.16738899	0.7803	-0.12591496	0.9349	-0.116071224	0.9628	0.7556
1.6991	70500	0.001	-	-	-	-	-	-	-	-	-	-
1.7112	71000	0.001	-	-	-	-	-	-	-	-	-	-
1.7232	71500	0.001	-	-	-	-	-	-	-	-	-	-
1.7353	72000	0.001	0.0010	-0.132471	0.9089	-0.16669713	0.7827	-0.12546214	0.9347	-0.11567066	0.9613	0.7654
1.7473	72500	0.001	-	-	-	-	-	-	-	-	-	-
1.7594	73000	0.001	-	-	-	-	-	-	-	-	-	-
1.7714	73500	0.001	-	-	-	-	-	-	-	-	-	-
1.7835	74000	0.001	0.0010	-0.13240911	0.9086	-0.16679284	0.7809	-0.12486157	0.9350	-0.115391895	0.9606	0.7515
1.7955	74500	0.001	-	-	-	-	-	-	-	-	-	-
1.8076	75000	0.001	-	-	-	-	-	-	-	-	-	-
1.8196	75500	0.001	-	-	-	-	-	-	-	-	-	-
1.8317	76000	0.001	0.0010	-0.13224238	0.9101	-0.16674407	0.7794	-0.12495253	0.9340	-0.115175664	0.962	0.7547
1.8437	76500	0.001	-	-	-	-	-	-	-	-	-	-
1.8558	77000	0.001	-	-	-	-	-	-	-	-	-	-
1.8678	77500	0.001	-	-	-	-	-	-	-	-	-	-
1.8799	78000	0.001	0.0010	-0.13156791	0.9089	-0.16607359	0.7809	-0.124372065	0.9344	-0.11479789	0.9607	0.7536
1.8919	78500	0.001	-	-	-	-	-	-	-	-	-	-
1.9040	79000	0.001	-	-	-	-	-	-	-	-	-	-
1.9160	79500	0.001	-	-	-	-	-	-	-	-	-	-
1.9281	80000	0.001	0.0010	-0.1316281	0.9081	-0.16624776	0.7802	-0.124280676	0.9357	-0.11478688	0.9621	0.7490
1.9401	80500	0.001	-	-	-	-	-	-	-	-	-	-
1.9522	81000	0.001	-	-	-	-	-	-	-	-	-	-
1.9642	81500	0.001	-	-	-	-	-	-	-	-	-	-
1.9763	82000	0.001	0.0010	-0.13102518	0.9105	-0.16557191	0.7837	-0.12364923	0.9354	-0.11388038	0.9613	0.7568
1.9883	82500	0.001	-	-	-	-	-	-	-	-	-	-
2.0004	83000	0.001	-	-	-	-	-	-	-	-	-	-
2.0124	83500	0.001	-	-	-	-	-	-	-	-	-	-
2.0245	84000	0.001	0.0010	-0.13096997	0.9099	-0.16536845	0.7849	-0.123497345	0.9360	-0.11385654	0.9631	0.7510
2.0365	84500	0.001	-	-	-	-	-	-	-	-	-	-
2.0486	85000	0.001	-	-	-	-	-	-	-	-	-	-
2.0606	85500	0.001	-	-	-	-	-	-	-	-	-	-
2.0727	86000	0.001	0.0010	-0.13003193	0.9114	-0.16502266	0.7838	-0.12288212	0.9361	-0.11288842	0.9635	0.7513
2.0847	86500	0.001	-	-	-	-	-	-	-	-	-	-
2.0968	87000	0.001	-	-	-	-	-	-	-	-	-	-
2.1088	87500	0.001	-	-	-	-	-	-	-	-	-	-
2.1209	88000	0.001	0.0010	-0.1301904	0.9113	-0.16467644	0.7852	-0.123085186	0.9363	-0.11298419	0.9625	0.7580
2.1329	88500	0.001	-	-	-	-	-	-	-	-	-	-
2.1450	89000	0.001	-	-	-	-	-	-	-	-	-	-
2.1570	89500	0.001	-	-	-	-	-	-	-	-	-	-
2.1691	90000	0.001	0.0010	-0.13003062	0.9117	-0.16455765	0.7845	-0.122814186	0.9353	-0.11313731	0.9627	0.7646
2.1811	90500	0.001	-	-	-	-	-	-	-	-	-	-
2.1932	91000	0.001	-	-	-	-	-	-	-	-	-	-
2.2052	91500	0.001	-	-	-	-	-	-	-	-	-	-
2.2173	92000	0.001	0.0010	-0.12982751	0.9108	-0.16445456	0.7844	-0.12241968	0.9371	-0.11271232	0.9623	0.7632
2.2293	92500	0.001	-	-	-	-	-	-	-	-	-	-
2.2414	93000	0.001	-	-	-	-	-	-	-	-	-	-
2.2534	93500	0.001	-	-	-	-	-	-	-	-	-	-
2.2655	94000	0.001	0.0010	-0.12939829	0.9132	-0.16412637	0.7883	-0.12224483	0.9374	-0.1123632	0.9641	0.7612
2.2776	94500	0.001	-	-	-	-	-	-	-	-	-	-
2.2896	95000	0.001	-	-	-	-	-	-	-	-	-	-
2.3017	95500	0.001	-	-	-	-	-	-	-	-	-	-
2.3137	96000	0.001	0.0010	-0.12917776	0.9104	-0.16392535	0.7850	-0.12185458	0.9370	-0.11221877	0.9629	0.7562
2.3258	96500	0.001	-	-	-	-	-	-	-	-	-	-
2.3378	97000	0.001	-	-	-	-	-	-	-	-	-	-
2.3499	97500	0.001	-	-	-	-	-	-	-	-	-	-
2.3619	98000	0.001	0.0010	-0.12907985	0.9114	-0.16344719	0.7841	-0.12181824	0.9385	-0.11188582	0.9637	0.7566
2.3740	98500	0.001	-	-	-	-	-	-	-	-	-	-
2.3860	99000	0.001	-	-	-	-	-	-	-	-	-	-
2.3981	99500	0.001	-	-	-	-	-	-	-	-	-	-
2.4101	100000	0.001	0.0010	-0.12920342	0.9123	-0.16406502	0.7845	-0.121884584	0.9388	-0.111925915	0.9636	0.7597
2.4222	100500	0.001	-	-	-	-	-	-	-	-	-	-
2.4342	101000	0.001	-	-	-	-	-	-	-	-	-	-
2.4463	101500	0.001	-	-	-	-	-	-	-	-	-	-
2.4583	102000	0.001	0.0010	-0.1288692	0.9122	-0.16350469	0.7858	-0.12137447	0.9373	-0.111644134	0.9637	0.7635
2.4704	102500	0.001	-	-	-	-	-	-	-	-	-	-
2.4824	103000	0.001	-	-	-	-	-	-	-	-	-	-
2.4945	103500	0.001	-	-	-	-	-	-	-	-	-	-
2.5065	104000	0.001	0.0010	-0.1289687	0.9115	-0.16373612	0.7876	-0.12150239	0.9362	-0.111682236	0.9642	0.7587
2.5186	104500	0.001	-	-	-	-	-	-	-	-	-	-
2.5306	105000	0.001	-	-	-	-	-	-	-	-	-	-
2.5427	105500	0.001	-	-	-	-	-	-	-	-	-	-
2.5547	106000	0.001	0.0010	-0.12838307	0.9123	-0.16352093	0.7871	-0.121176444	0.9369	-0.11109304	0.9637	0.7701
2.5668	106500	0.001	-	-	-	-	-	-	-	-	-	-
2.5788	107000	0.001	-	-	-	-	-	-	-	-	-	-
2.5909	107500	0.001	-	-	-	-	-	-	-	-	-	-
2.6029	108000	0.001	0.0010	-0.1282897	0.9127	-0.16305013	0.7878	-0.12108948	0.9376	-0.11123535	0.9645	0.7693
2.6150	108500	0.001	-	-	-	-	-	-	-	-	-	-
2.6270	109000	0.001	-	-	-	-	-	-	-	-	-	-
2.6391	109500	0.001	-	-	-	-	-	-	-	-	-	-
2.6511	110000	0.001	0.0010	-0.12808812	0.9113	-0.16276535	0.7849	-0.12093023	0.9359	-0.11075563	0.9629	0.7665
2.6632	110500	0.001	-	-	-	-	-	-	-	-	-	-
2.6752	111000	0.001	-	-	-	-	-	-	-	-	-	-
2.6873	111500	0.001	-	-	-	-	-	-	-	-	-	-
2.6993	112000	0.001	0.0010	-0.12810394	0.9106	-0.1628341	0.7867	-0.12081195	0.9361	-0.11062634	0.9638	0.7622
2.7114	112500	0.001	-	-	-	-	-	-	-	-	-	-
2.7234	113000	0.001	-	-	-	-	-	-	-	-	-	-
2.7355	113500	0.001	-	-	-	-	-	-	-	-	-	-
2.7475	114000	0.001	0.0010	-0.12766899	0.9106	-0.16274269	0.7865	-0.12054375	0.9358	-0.11041278	0.9643	0.7689
2.7596	114500	0.001	-	-	-	-	-	-	-	-	-	-
2.7716	115000	0.001	-	-	-	-	-	-	-	-	-	-
2.7837	115500	0.001	-	-	-	-	-	-	-	-	-	-
2.7957	116000	0.001	0.0010	-0.12782887	0.9123	-0.16317768	0.7877	-0.120523505	0.9375	-0.110602684	0.9648	0.7741
2.8078	116500	0.001	-	-	-	-	-	-	-	-	-	-
2.8198	117000	0.001	-	-	-	-	-	-	-	-	-	-
2.8319	117500	0.001	-	-	-	-	-	-	-	-	-	-
2.8439	118000	0.001	0.0009	-0.1274291	0.9128	-0.1622937	0.7875	-0.120227024	0.9382	-0.11015794	0.9642	0.7670
2.8560	118500	0.001	-	-	-	-	-	-	-	-	-	-
2.8680	119000	0.001	-	-	-	-	-	-	-	-	-	-
2.8801	119500	0.001	-	-	-	-	-	-	-	-	-	-
2.8921	120000	0.001	0.0009	-0.127271	0.9136	-0.16219822	0.7889	-0.120123	0.9383	-0.10982023	0.9647	0.7699
2.9042	120500	0.001	-	-	-	-	-	-	-	-	-	-
2.9162	121000	0.001	-	-	-	-	-	-	-	-	-	-
2.9283	121500	0.001	-	-	-	-	-	-	-	-	-	-
2.9403	122000	0.001	0.0009	-0.12701707	0.9141	-0.16180599	0.7895	-0.11978282	0.9378	-0.10970475	0.9647	0.7698
2.9524	122500	0.001	-	-	-	-	-	-	-	-	-	-
2.9644	123000	0.001	-	-	-	-	-	-	-	-	-	-
2.9765	123500	0.001	-	-	-	-	-	-	-	-	-	-
2.9885	124000	0.001	0.0009	-0.12689038	0.9120	-0.16190249	0.7877	-0.11975086	0.9373	-0.10964994	0.9635	0.7712
3.0006	124500	0.001	-	-	-	-	-	-	-	-	-	-
3.0126	125000	0.001	-	-	-	-	-	-	-	-	-	-
3.0247	125500	0.001	-	-	-	-	-	-	-	-	-	-
3.0367	126000	0.001	0.0009	-0.12694204	0.9143	-0.16193174	0.7888	-0.1198582	0.9386	-0.10989632	0.9647	0.7700
3.0488	126500	0.001	-	-	-	-	-	-	-	-	-	-
3.0608	127000	0.001	-	-	-	-	-	-	-	-	-	-
3.0729	127500	0.001	-	-	-	-	-	-	-	-	-	-
3.0849	128000	0.0009	0.0009	-0.12693574	0.9132	-0.16211434	0.7870	-0.11972516	0.9371	-0.109592065	0.9647	0.7791
3.0970	128500	0.001	-	-	-	-	-	-	-	-	-	-
3.1090	129000	0.0009	-	-	-	-	-	-	-	-	-	-
3.1211	129500	0.0009	-	-	-	-	-	-	-	-	-	-
3.1331	130000	0.0009	0.0009	-0.1268968	0.9133	-0.16193083	0.7896	-0.11950171	0.9379	-0.10950179	0.9635	0.7828
3.1452	130500	0.0009	-	-	-	-	-	-	-	-	-	-
3.1572	131000	0.0009	-	-	-	-	-	-	-	-	-	-
3.1693	131500	0.0009	-	-	-	-	-	-	-	-	-	-
3.1813	132000	0.0009	0.0009	-0.12672682	0.9143	-0.16184658	0.7895	-0.119381174	0.9375	-0.10941733	0.9639	0.7725
3.1934	132500	0.0009	-	-	-	-	-	-	-	-	-	-
3.2054	133000	0.0009	-	-	-	-	-	-	-	-	-	-
3.2175	133500	0.0009	-	-	-	-	-	-	-	-	-	-
3.2295	134000	0.0009	0.0009	-0.12637402	0.9125	-0.1612142	0.7869	-0.1190265	0.9367	-0.108747184	0.9644	0.7834
3.2416	134500	0.0009	-	-	-	-	-	-	-	-	-	-
3.2536	135000	0.0009	-	-	-	-	-	-	-	-	-	-
3.2657	135500	0.0009	-	-	-	-	-	-	-	-	-	-
3.2777	136000	0.0009	0.0009	-0.12627023	0.9145	-0.16129792	0.7878	-0.11899839	0.9390	-0.10877982	0.9650	0.7797
3.2898	136500	0.0009	-	-	-	-	-	-	-	-	-	-
3.3018	137000	0.0009	-	-	-	-	-	-	-	-	-	-
3.3139	137500	0.0009	-	-	-	-	-	-	-	-	-	-
3.3259	138000	0.0009	0.0009	-0.126287	0.9129	-0.16085674	0.7889	-0.118963666	0.9380	-0.10874624	0.9655	0.7803
3.3380	138500	0.0009	-	-	-	-	-	-	-	-	-	-
3.3500	139000	0.0009	-	-	-	-	-	-	-	-	-	-
3.3621	139500	0.0009	-	-	-	-	-	-	-	-	-	-
3.3741	140000	0.0009	0.0009	-0.12557589	0.9126	-0.16073172	0.7899	-0.11818668	0.9381	-0.10807696	0.9647	0.7804
3.3862	140500	0.0009	-	-	-	-	-	-	-	-	-	-
3.3983	141000	0.0009	-	-	-	-	-	-	-	-	-	-
3.4103	141500	0.0009	-	-	-	-	-	-	-	-	-	-
3.4224	142000	0.0009	0.0009	-0.12540558	0.9148	-0.16081187	0.7906	-0.11835884	0.9389	-0.10810037	0.9654	0.7901
3.4344	142500	0.0009	-	-	-	-	-	-	-	-	-	-
3.4465	143000	0.0009	-	-	-	-	-	-	-	-	-	-
3.4585	143500	0.0009	-	-	-	-	-	-	-	-	-	-
3.4706	144000	0.0009	0.0009	-0.12564436	0.9143	-0.16074274	0.7904	-0.11869448	0.9383	-0.108515434	0.9637	0.7798
3.4826	144500	0.0009	-	-	-	-	-	-	-	-	-	-
3.4947	145000	0.0009	-	-	-	-	-	-	-	-	-	-
3.5067	145500	0.0009	-	-	-	-	-	-	-	-	-	-
3.5188	146000	0.0009	0.0009	-0.12536706	0.9138	-0.16059272	0.7897	-0.11825046	0.9387	-0.10799275	0.9659	0.7839
3.5308	146500	0.0009	-	-	-	-	-	-	-	-	-	-
3.5429	147000	0.0009	-	-	-	-	-	-	-	-	-	-
3.5549	147500	0.0009	-	-	-	-	-	-	-	-	-	-
3.5670	148000	0.0009	0.0009	-0.1254118	0.9141	-0.16092719	0.7895	-0.11816683	0.938	-0.10793509	0.9643	0.7789
3.5790	148500	0.0009	-	-	-	-	-	-	-	-	-	-
3.5911	149000	0.0009	-	-	-	-	-	-	-	-	-	-
3.6031	149500	0.0009	-	-	-	-	-	-	-	-	-	-
3.6152	150000	0.0009	0.0009	-0.12520525	0.9146	-0.16024144	0.7923	-0.11789823	0.9389	-0.107751146	0.965	0.7794
3.6272	150500	0.0009	-	-	-	-	-	-	-	-	-	-
3.6393	151000	0.0009	-	-	-	-	-	-	-	-	-	-
3.6513	151500	0.0009	-	-	-	-	-	-	-	-	-	-
3.6634	152000	0.0009	0.0009	-0.12541829	0.914	-0.16040145	0.7911	-0.118120655	0.9392	-0.10773916	0.9651	0.7750
3.6754	152500	0.0009	-	-	-	-	-	-	-	-	-	-
3.6875	153000	0.0009	-	-	-	-	-	-	-	-	-	-
3.6995	153500	0.0009	-	-	-	-	-	-	-	-	-	-
3.7116	154000	0.0009	0.0009	-0.12517425	0.9148	-0.16046035	0.7901	-0.11791107	0.9384	-0.107769206	0.9651	0.7896
3.7236	154500	0.0009	-	-	-	-	-	-	-	-	-	-
3.7357	155000	0.0009	-	-	-	-	-	-	-	-	-	-
3.7477	155500	0.0009	-	-	-	-	-	-	-	-	-	-
3.7598	156000	0.0009	0.0009	-0.12504649	0.9138	-0.16007474	0.7903	-0.11769476	0.9385	-0.1074499	0.9656	0.7908
3.7718	156500	0.0009	-	-	-	-	-	-	-	-	-	-
3.7839	157000	0.0009	-	-	-	-	-	-	-	-	-	-
3.7959	157500	0.0009	-	-	-	-	-	-	-	-	-	-
3.8080	158000	0.0009	0.0009	-0.1249322	0.9132	-0.16022074	0.7903	-0.11760567	0.9385	-0.10745074	0.9655	0.7936
3.8200	158500	0.0009	-	-	-	-	-	-	-	-	-	-
3.8321	159000	0.0009	-	-	-	-	-	-	-	-	-	-
3.8441	159500	0.0009	-	-	-	-	-	-	-	-	-	-
3.8562	160000	0.0009	0.0009	-0.124763474	0.9148	-0.15979636	0.7920	-0.117504686	0.9390	-0.10717098	0.9661	0.7889
3.8682	160500	0.0009	-	-	-	-	-	-	-	-	-	-
3.8803	161000	0.0009	-	-	-	-	-	-	-	-	-	-
3.8923	161500	0.0009	-	-	-	-	-	-	-	-	-	-
3.9044	162000	0.0009	0.0009	-0.12479923	0.9137	-0.1600711	0.7905	-0.11758249	0.9385	-0.10722201	0.9652	0.7864
3.9164	162500	0.0009	-	-	-	-	-	-	-	-	-	-
3.9285	163000	0.0009	-	-	-	-	-	-	-	-	-	-
3.9405	163500	0.0009	-	-	-	-	-	-	-	-	-	-
3.9526	164000	0.0009	0.0009	-0.124877214	0.9138	-0.15992995	0.793	-0.11760226	0.9393	-0.10724403	0.9656	0.7953
3.9646	164500	0.0009	-	-	-	-	-	-	-	-	-	-
3.9767	165000	0.0009	-	-	-	-	-	-	-	-	-	-
3.9887	165500	0.0009	-	-	-	-	-	-	-	-	-	-
4.0008	166000	0.0009	0.0009	-0.1248542	0.9151	-0.16045645	0.7922	-0.117678024	0.9388	-0.10792439	0.9666	0.7863
4.0128	166500	0.0009	-	-	-	-	-	-	-	-	-	-
4.0249	167000	0.0009	-	-	-	-	-	-	-	-	-	-
4.0369	167500	0.0009	-	-	-	-	-	-	-	-	-	-
4.0490	168000	0.0009	0.0009	-0.12433779	0.9149	-0.15954816	0.7930	-0.11723853	0.9391	-0.10687931	0.9659	0.7850
4.0610	168500	0.0009	-	-	-	-	-	-	-	-	-	-
4.0731	169000	0.0009	-	-	-	-	-	-	-	-	-	-
4.0851	169500	0.0009	-	-	-	-	-	-	-	-	-	-
4.0972	170000	0.0009	0.0009	-0.124370426	0.9142	-0.15958294	0.7931	-0.11711443	0.9387	-0.1070673	0.9654	0.7775
4.1092	170500	0.0009	-	-	-	-	-	-	-	-	-	-
4.1213	171000	0.0009	-	-	-	-	-	-	-	-	-	-
4.1333	171500	0.0009	-	-	-	-	-	-	-	-	-	-
4.1454	172000	0.0009	0.0009	-0.12383846	0.9147	-0.1592088	0.7913	-0.11677368	0.9385	-0.10656691	0.9652	0.7891
4.1574	172500	0.0009	-	-	-	-	-	-	-	-	-	-
4.1695	173000	0.0009	-	-	-	-	-	-	-	-	-	-
4.1815	173500	0.0009	-	-	-	-	-	-	-	-	-	-
4.1936	174000	0.0009	0.0009	-0.124194965	0.9149	-0.15957709	0.7918	-0.1169779	0.9395	-0.106627904	0.9656	0.7989
4.2056	174500	0.0009	-	-	-	-	-	-	-	-	-	-
4.2177	175000	0.0009	-	-	-	-	-	-	-	-	-	-
4.2297	175500	0.0009	-	-	-	-	-	-	-	-	-	-
4.2418	176000	0.0009	0.0009	-0.12454461	0.9143	-0.15984882	0.7916	-0.11736534	0.9400	-0.10716106	0.9656	0.7949
4.2538	176500	0.0009	-	-	-	-	-	-	-	-	-	-
4.2659	177000	0.0009	-	-	-	-	-	-	-	-	-	-
4.2779	177500	0.0009	-	-	-	-	-	-	-	-	-	-
4.2900	178000	0.0009	0.0009	-0.12404667	0.9143	-0.1593831	0.7915	-0.11683373	0.9393	-0.10656269	0.9654	0.7981
4.3020	178500	0.0009	-	-	-	-	-	-	-	-	-	-
4.3141	179000	0.0009	-	-	-	-	-	-	-	-	-	-
4.3261	179500	0.0009	-	-	-	-	-	-	-	-	-	-
4.3382	180000	0.0009	0.0009	-0.1238653	0.9154	-0.1591141	0.7906	-0.11670848	0.9400	-0.10634936	0.9663	0.7936
4.3502	180500	0.0009	-	-	-	-	-	-	-	-	-	-
4.3623	181000	0.0009	-	-	-	-	-	-	-	-	-	-
4.3743	181500	0.0009	-	-	-	-	-	-	-	-	-	-
4.3864	182000	0.0009	0.0009	-0.12405026	0.9144	-0.15932465	0.7910	-0.116629854	0.9404	-0.10640634	0.9659	0.7906
4.3984	182500	0.0009	-	-	-	-	-	-	-	-	-	-
4.4105	183000	0.0009	-	-	-	-	-	-	-	-	-	-
4.4225	183500	0.0009	-	-	-	-	-	-	-	-	-	-
4.4346	184000	0.0009	0.0009	-0.12385055	0.9153	-0.15913114	0.7933	-0.11662009	0.9403	-0.1061467	0.9672	0.7958
4.4466	184500	0.0009	-	-	-	-	-	-	-	-	-	-
4.4587	185000	0.0009	-	-	-	-	-	-	-	-	-	-
4.4707	185500	0.0009	-	-	-	-	-	-	-	-	-	-
4.4828	186000	0.0009	0.0009	-0.12353164	0.9138	-0.15873238	0.7929	-0.11616614	0.9399	-0.10607579	0.9658	0.7904
4.4948	186500	0.0009	-	-	-	-	-	-	-	-	-	-
4.5069	187000	0.0009	-	-	-	-	-	-	-	-	-	-
4.5189	187500	0.0009	-	-	-	-	-	-	-	-	-	-
4.5310	188000	0.0009	0.0009	-0.1234301	0.915	-0.15901197	0.7904	-0.1162911	0.9385	-0.105946735	0.9659	0.7960
4.5431	188500	0.0009	-	-	-	-	-	-	-	-	-	-
4.5551	189000	0.0009	-	-	-	-	-	-	-	-	-	-
4.5672	189500	0.0009	-	-	-	-	-	-	-	-	-	-
4.5792	190000	0.0009	0.0009	-0.12366929	0.9152	-0.1590385	0.7932	-0.11635226	0.9398	-0.106074	0.9660	0.7987
4.5913	190500	0.0009	-	-	-	-	-	-	-	-	-	-
4.6033	191000	0.0009	-	-	-	-	-	-	-	-	-	-
4.6154	191500	0.0009	-	-	-	-	-	-	-	-	-	-
4.6274	192000	0.0009	0.0009	-0.12308879	0.9151	-0.15870233	0.7927	-0.11592627	0.9392	-0.10571766	0.9651	0.7960
4.6395	192500	0.0009	-	-	-	-	-	-	-	-	-	-
4.6515	193000	0.0009	-	-	-	-	-	-	-	-	-	-
4.6636	193500	0.0009	-	-	-	-	-	-	-	-	-	-
4.6756	194000	0.0009	0.0009	-0.123548284	0.9141	-0.15906048	0.7921	-0.11618766	0.9391	-0.10589829	0.9657	0.8017
4.6877	194500	0.0009	-	-	-	-	-	-	-	-	-	-
4.6997	195000	0.0009	-	-	-	-	-	-	-	-	-	-
4.7118	195500	0.0009	-	-	-	-	-	-	-	-	-	-
4.7238	196000	0.0009	0.0009	-0.12323906	0.9141	-0.1587712	0.7895	-0.116058685	0.9383	-0.10584708	0.9647	0.7951
4.7359	196500	0.0009	-	-	-	-	-	-	-	-	-	-
4.7479	197000	0.0009	-	-	-	-	-	-	-	-	-	-
4.7600	197500	0.0009	-	-	-	-	-	-	-	-	-	-
4.7720	198000	0.0009	0.0009	-0.12302134	0.9151	-0.15882707	0.7935	-0.115741916	0.9401	-0.10559036	0.9661	0.7957
4.7841	198500	0.0009	-	-	-	-	-	-	-	-	-	-
4.7961	199000	0.0009	-	-	-	-	-	-	-	-	-	-
4.8082	199500	0.0009	-	-	-	-	-	-	-	-	-	-
4.8202	200000	0.0009	0.0009	-0.12295742	0.9155	-0.15831417	0.7946	-0.115616165	0.9409	-0.10527927	0.9667	0.8039
4.8323	200500	0.0009	-	-	-	-	-	-	-	-	-	-
4.8443	201000	0.0009	-	-	-	-	-	-	-	-	-	-
4.8564	201500	0.0009	-	-	-	-	-	-	-	-	-	-
4.8684	202000	0.0009	0.0009	-0.122976616	0.9166	-0.15854654	0.7955	-0.11583256	0.9406	-0.105557926	0.9662	0.7933
4.8805	202500	0.0009	-	-	-	-	-	-	-	-	-	-
4.8925	203000	0.0009	-	-	-	-	-	-	-	-	-	-
4.9046	203500	0.0009	-	-	-	-	-	-	-	-	-	-
4.9166	204000	0.0009	0.0009	-0.12282531	0.9156	-0.15864763	0.7933	-0.115674525	0.9409	-0.10533122	0.9653	0.7915
4.9287	204500	0.0009	-	-	-	-	-	-	-	-	-	-
4.9407	205000	0.0009	-	-	-	-	-	-	-	-	-	-
4.9528	205500	0.0009	-	-	-	-	-	-	-	-	-	-
4.9648	206000	0.0009	0.0009	-0.1226763	0.9161	-0.15815087	0.7949	-0.11566279	0.9397	-0.10535467	0.9661	0.7980
4.9769	206500	0.0009	-	-	-	-	-	-	-	-	-	-
4.9889	207000	0.0009	-	-	-	-	-	-	-	-	-	-
5.0010	207500	0.0009	-	-	-	-	-	-	-	-	-	-
5.0130	208000	0.0009	0.0009	-0.12280198	0.9174	-0.15838356	0.7941	-0.11564119	0.9408	-0.10529037	0.9661	0.7971
5.0251	208500	0.0009	-	-	-	-	-	-	-	-	-	-
5.0371	209000	0.0009	-	-	-	-	-	-	-	-	-	-
5.0492	209500	0.0009	-	-	-	-	-	-	-	-	-	-
5.0612	210000	0.0009	0.0009	-0.12270275	0.9161	-0.15806434	0.7946	-0.115419984	0.9408	-0.10491283	0.9678	0.8039
5.0733	210500	0.0009	-	-	-	-	-	-	-	-	-	-
5.0853	211000	0.0009	-	-	-	-	-	-	-	-	-	-
5.0974	211500	0.0009	-	-	-	-	-	-	-	-	-	-
5.1094	212000	0.0009	0.0009	-0.12243056	0.9158	-0.15797664	0.7926	-0.11522509	0.9401	-0.10483756	0.9656	0.7930
5.1215	212500	0.0009	-	-	-	-	-	-	-	-	-	-
5.1335	213000	0.0009	-	-	-	-	-	-	-	-	-	-
5.1456	213500	0.0009	-	-	-	-	-	-	-	-	-	-
5.1576	214000	0.0009	0.0009	-0.12265551	0.9157	-0.15803154	0.7957	-0.11525117	0.9414	-0.10505652	0.9666	0.7956
5.1697	214500	0.0009	-	-	-	-	-	-	-	-	-	-
5.1817	215000	0.0009	-	-	-	-	-	-	-	-	-	-
5.1938	215500	0.0009	-	-	-	-	-	-	-	-	-	-
5.2058	216000	0.0009	0.0009	-0.12240642	0.9163	-0.15794457	0.7953	-0.1150559	0.9397	-0.104678705	0.9671	0.7969
5.2179	216500	0.0009	-	-	-	-	-	-	-	-	-	-
5.2299	217000	0.0009	-	-	-	-	-	-	-	-	-	-
5.2420	217500	0.0009	-	-	-	-	-	-	-	-	-	-
5.2540	218000	0.0009	0.0009	-0.122508205	0.9155	-0.15803492	0.7928	-0.11530148	0.9400	-0.10501844	0.9657	0.7935
5.2661	218500	0.0009	-	-	-	-	-	-	-	-	-	-
5.2781	219000	0.0009	-	-	-	-	-	-	-	-	-	-
5.2902	219500	0.0009	-	-	-	-	-	-	-	-	-	-
5.3022	220000	0.0009	0.0009	-0.12229491	0.9164	-0.1578976	0.7936	-0.11508705	0.9404	-0.10477948	0.9666	0.7980
5.3143	220500	0.0009	-	-	-	-	-	-	-	-	-	-
5.3263	221000	0.0009	-	-	-	-	-	-	-	-	-	-
5.3384	221500	0.0009	-	-	-	-	-	-	-	-	-	-
5.3504	222000	0.0009	0.0009	-0.12242974	0.9153	-0.15810539	0.7919	-0.11520057	0.9396	-0.10478588	0.9667	0.7962
5.3625	222500	0.0009	-	-	-	-	-	-	-	-	-	-
5.3745	223000	0.0009	-	-	-	-	-	-	-	-	-	-
5.3866	223500	0.0009	-	-	-	-	-	-	-	-	-	-
5.3986	224000	0.0009	0.0009	-0.12207592	0.9154	-0.15769525	0.7944	-0.114826135	0.9397	-0.104375	0.9677	0.7926
5.4107	224500	0.0009	-	-	-	-	-	-	-	-	-	-
5.4227	225000	0.0009	-	-	-	-	-	-	-	-	-	-
5.4348	225500	0.0009	-	-	-	-	-	-	-	-	-	-
5.4468	226000	0.0009	0.0009	-0.122125156	0.9158	-0.15763007	0.7937	-0.114788026	0.9397	-0.10428928	0.9662	0.7978
5.4589	226500	0.0009	-	-	-	-	-	-	-	-	-	-
5.4709	227000	0.0009	-	-	-	-	-	-	-	-	-	-
5.4830	227500	0.0009	-	-	-	-	-	-	-	-	-	-
5.4950	228000	0.0009	0.0009	-0.121786356	0.9175	-0.15767786	0.7954	-0.11453448	0.9407	-0.104248255	0.9676	0.7986
5.5071	228500	0.0009	-	-	-	-	-	-	-	-	-	-
5.5191	229000	0.0009	-	-	-	-	-	-	-	-	-	-
5.5312	229500	0.0009	-	-	-	-	-	-	-	-	-	-
5.5432	230000	0.0009	0.0009	-0.121813305	0.9163	-0.15752186	0.7937	-0.11456609	0.94	-0.10418406	0.9668	0.7958
5.5553	230500	0.0009	-	-	-	-	-	-	-	-	-	-
5.5673	231000	0.0009	-	-	-	-	-	-	-	-	-	-
5.5794	231500	0.0009	-	-	-	-	-	-	-	-	-	-
5.5914	232000	0.0009	0.0009	-0.12187062	0.9156	-0.15743192	0.7961	-0.11462416	0.9391	-0.10446034	0.9669	0.7947
5.6035	232500	0.0009	-	-	-	-	-	-	-	-	-	-
5.6155	233000	0.0009	-	-	-	-	-	-	-	-	-	-
5.6276	233500	0.0009	-	-	-	-	-	-	-	-	-	-
5.6396	234000	0.0009	0.0009	-0.12201568	0.9158	-0.15754098	0.7957	-0.11458277	0.9408	-0.10424298	0.9670	0.8036
5.6517	234500	0.0009	-	-	-	-	-	-	-	-	-	-
5.6638	235000	0.0009	-	-	-	-	-	-	-	-	-	-
5.6758	235500	0.0009	-	-	-	-	-	-	-	-	-	-
5.6879	236000	0.0009	0.0009	-0.12160508	0.9169	-0.15719855	0.7972	-0.11433715	0.9407	-0.103907116	0.9671	0.8009
5.6999	236500	0.0009	-	-	-	-	-	-	-	-	-	-
5.7120	237000	0.0009	-	-	-	-	-	-	-	-	-	-
5.7240	237500	0.0009	-	-	-	-	-	-	-	-	-	-
5.7361	238000	0.0009	0.0009	-0.1215938	0.9153	-0.15713076	0.7941	-0.114301234	0.9403	-0.10393213	0.9672	0.7984
5.7481	238500	0.0009	-	-	-	-	-	-	-	-	-	-
5.7602	239000	0.0009	-	-	-	-	-	-	-	-	-	-
5.7722	239500	0.0009	-	-	-	-	-	-	-	-	-	-
5.7843	240000	0.0009	0.0009	-0.12158132	0.9149	-0.15723926	0.7935	-0.114384994	0.9401	-0.1040761	0.9661	0.8013
5.7963	240500	0.0009	-	-	-	-	-	-	-	-	-	-
5.8084	241000	0.0009	-	-	-	-	-	-	-	-	-	-
5.8204	241500	0.0009	-	-	-	-	-	-	-	-	-	-
5.8325	242000	0.0009	0.0009	-0.121409364	0.9163	-0.15700819	0.7952	-0.11422802	0.9407	-0.103803374	0.9667	0.8012
5.8445	242500	0.0009	-	-	-	-	-	-	-	-	-	-
5.8566	243000	0.0009	-	-	-	-	-	-	-	-	-	-
5.8686	243500	0.0009	-	-	-	-	-	-	-	-	-	-
5.8807	244000	0.0009	0.0009	-0.12139225	0.9165	-0.15697363	0.7962	-0.114099	0.9409	-0.103739314	0.9669	0.8040
5.8927	244500	0.0009	-	-	-	-	-	-	-	-	-	-
5.9048	245000	0.0009	-	-	-	-	-	-	-	-	-	-
5.9168	245500	0.0009	-	-	-	-	-	-	-	-	-	-
5.9289	246000	0.0009	0.0009	-0.12142664	0.9153	-0.15684266	0.7964	-0.114110485	0.9403	-0.10369468	0.9669	0.8039
5.9409	246500	0.0009	-	-	-	-	-	-	-	-	-	-
5.9530	247000	0.0009	-	-	-	-	-	-	-	-	-	-
5.9650	247500	0.0009	-	-	-	-	-	-	-	-	-	-
5.9771	248000	0.0009	0.0009	-0.12130597	0.9163	-0.15676919	0.7955	-0.11402441	0.9403	-0.10352285	0.9669	0.8015
5.9891	248500	0.0009	-	-	-	-	-	-	-	-	-	-
6.0012	249000	0.0009	-	-	-	-	-	-	-	-	-	-
6.0132	249500	0.0009	-	-	-	-	-	-	-	-	-	-
6.0253	250000	0.0009	0.0009	-0.12142649	0.916	-0.15707617	0.7949	-0.11411642	0.9401	-0.10360606	0.9667	0.8012
6.0373	250500	0.0009	-	-	-	-	-	-	-	-	-	-
6.0494	251000	0.0009	-	-	-	-	-	-	-	-	-	-
6.0614	251500	0.0009	-	-	-	-	-	-	-	-	-	-
6.0735	252000	0.0009	0.0009	-0.12106067	0.9168	-0.15670271	0.7944	-0.11387472	0.9407	-0.10354407	0.9669	0.8021
6.0855	252500	0.0009	-	-	-	-	-	-	-	-	-	-
6.0976	253000	0.0009	-	-	-	-	-	-	-	-	-	-
6.1096	253500	0.0009	-	-	-	-	-	-	-	-	-	-
6.1217	254000	0.0009	0.0009	-0.121098295	0.9161	-0.15662901	0.7961	-0.11384833	0.9398	-0.1033951	0.9671	0.8048
6.1337	254500	0.0009	-	-	-	-	-	-	-	-	-	-
6.1458	255000	0.0009	-	-	-	-	-	-	-	-	-	-
6.1578	255500	0.0009	-	-	-	-	-	-	-	-	-	-
6.1699	256000	0.0009	0.0009	-0.12097549	0.9163	-0.1566434	0.7945	-0.11359821	0.9405	-0.10337321	0.9671	0.8008
6.1819	256500	0.0009	-	-	-	-	-	-	-	-	-	-
6.1940	257000	0.0009	-	-	-	-	-	-	-	-	-	-
6.2060	257500	0.0009	-	-	-	-	-	-	-	-	-	-
6.2181	258000	0.0009	0.0009	-0.12077013	0.9167	-0.15632969	0.7964	-0.11357237	0.9406	-0.10302543	0.9674	0.8045
6.2301	258500	0.0009	-	-	-	-	-	-	-	-	-	-
6.2422	259000	0.0009	-	-	-	-	-	-	-	-	-	-
6.2542	259500	0.0009	-	-	-	-	-	-	-	-	-	-
6.2663	260000	0.0009	0.0009	-0.12102381	0.9173	-0.15675934	0.7959	-0.11392181	0.9404	-0.103469335	0.9674	0.8037
6.2783	260500	0.0009	-	-	-	-	-	-	-	-	-	-
6.2904	261000	0.0009	-	-	-	-	-	-	-	-	-	-
6.3024	261500	0.0009	-	-	-	-	-	-	-	-	-	-
6.3145	262000	0.0009	0.0009	-0.120851874	0.9168	-0.15646338	0.7966	-0.1135496	0.9410	-0.103145614	0.9674	0.7954
6.3265	262500	0.0009	-	-	-	-	-	-	-	-	-	-
6.3386	263000	0.0009	-	-	-	-	-	-	-	-	-	-
6.3506	263500	0.0009	-	-	-	-	-	-	-	-	-	-
6.3627	264000	0.0009	0.0009	-0.12083888	0.9165	-0.15639423	0.7944	-0.11351489	0.9403	-0.10314996	0.9667	0.8026
6.3747	264500	0.0009	-	-	-	-	-	-	-	-	-	-
6.3868	265000	0.0009	-	-	-	-	-	-	-	-	-	-
6.3988	265500	0.0009	-	-	-	-	-	-	-	-	-	-
6.4109	266000	0.0009	0.0009	-0.120574094	0.9166	-0.15634955	0.7978	-0.113225415	0.9405	-0.10287785	0.9677	0.8015
6.4229	266500	0.0009	-	-	-	-	-	-	-	-	-	-
6.4350	267000	0.0009	-	-	-	-	-	-	-	-	-	-
6.4470	267500	0.0009	-	-	-	-	-	-	-	-	-	-
6.4591	268000	0.0009	0.0009	-0.12079299	0.9163	-0.15649363	0.7951	-0.113506205	0.9407	-0.10303708	0.967	0.7989
6.4711	268500	0.0009	-	-	-	-	-	-	-	-	-	-
6.4832	269000	0.0009	-	-	-	-	-	-	-	-	-	-
6.4952	269500	0.0009	-	-	-	-	-	-	-	-	-	-
6.5073	270000	0.0009	0.0009	-0.120686576	0.9159	-0.15629883	0.7955	-0.11336302	0.9404	-0.10274599	0.9667	0.8079
6.5193	270500	0.0009	-	-	-	-	-	-	-	-	-	-
6.5314	271000	0.0009	-	-	-	-	-	-	-	-	-	-
6.5434	271500	0.0009	-	-	-	-	-	-	-	-	-	-
6.5555	272000	0.0009	0.0009	-0.12063825	0.9162	-0.15634269	0.7969	-0.113294415	0.9403	-0.10278047	0.9668	0.8012
6.5675	272500	0.0009	-	-	-	-	-	-	-	-	-	-
6.5796	273000	0.0009	-	-	-	-	-	-	-	-	-	-
6.5916	273500	0.0009	-	-	-	-	-	-	-	-	-	-
6.6037	274000	0.0009	0.0009	-0.12068937	0.9164	-0.15636578	0.7955	-0.11343323	0.9405	-0.10296938	0.9666	0.7965
6.6157	274500	0.0009	-	-	-	-	-	-	-	-	-	-
6.6278	275000	0.0009	-	-	-	-	-	-	-	-	-	-
6.6398	275500	0.0009	-	-	-	-	-	-	-	-	-	-
6.6519	276000	0.0009	0.0009	-0.12041861	0.9168	-0.15612435	0.7972	-0.1129759	0.9415	-0.10264841	0.9672	0.7985
6.6639	276500	0.0009	-	-	-	-	-	-	-	-	-	-
6.6760	277000	0.0009	-	-	-	-	-	-	-	-	-	-
6.6880	277500	0.0009	-	-	-	-	-	-	-	-	-	-
6.7001	278000	0.0009	0.0009	-0.120453015	0.9162	-0.15615967	0.7971	-0.113096274	0.9409	-0.10267983	0.9672	0.8049
6.7121	278500	0.0009	-	-	-	-	-	-	-	-	-	-
6.7242	279000	0.0009	-	-	-	-	-	-	-	-	-	-
6.7362	279500	0.0009	-	-	-	-	-	-	-	-	-	-
6.7483	280000	0.0009	0.0009	-0.120221704	0.917	-0.15588309	0.7952	-0.112880185	0.9404	-0.102278136	0.9671	0.8023
6.7603	280500	0.0009	-	-	-	-	-	-	-	-	-	-
6.7724	281000	0.0009	-	-	-	-	-	-	-	-	-	-
6.7844	281500	0.0009	-	-	-	-	-	-	-	-	-	-
6.7965	282000	0.0009	0.0009	-0.120415226	0.9163	-0.1558823	0.7967	-0.113136254	0.9410	-0.102525376	0.9670	0.8040
6.8086	282500	0.0009	-	-	-	-	-	-	-	-	-	-
6.8206	283000	0.0009	-	-	-	-	-	-	-	-	-	-
6.8327	283500	0.0009	-	-	-	-	-	-	-	-	-	-
6.8447	284000	0.0009	0.0009	-0.12042539	0.9163	-0.15619986	0.7962	-0.113141604	0.9405	-0.102672264	0.9682	0.7986
6.8568	284500	0.0009	-	-	-	-	-	-	-	-	-	-
6.8688	285000	0.0009	-	-	-	-	-	-	-	-	-	-
6.8809	285500	0.0009	-	-	-	-	-	-	-	-	-	-
6.8929	286000	0.0009	0.0009	-0.11988069	0.9178	-0.1557566	0.798	-0.11266192	0.9412	-0.10215086	0.9677	0.8016
6.9050	286500	0.0009	-	-	-	-	-	-	-	-	-	-
6.9170	287000	0.0009	-	-	-	-	-	-	-	-	-	-
6.9291	287500	0.0009	-	-	-	-	-	-	-	-	-	-
6.9411	288000	0.0009	0.0009	-0.12013459	0.9172	-0.15576248	0.7967	-0.11283294	0.9405	-0.10242646	0.9671	0.7972
6.9532	288500	0.0009	-	-	-	-	-	-	-	-	-	-
6.9652	289000	0.0009	-	-	-	-	-	-	-	-	-	-
6.9773	289500	0.0009	-	-	-	-	-	-	-	-	-	-
6.9893	290000	0.0009	0.0009	-0.1200757	0.9169	-0.15590174	0.7982	-0.112830564	0.9406	-0.102384694	0.9682	0.8086
7.0013	290500	0.0009	-	-	-	-	-	-	-	-	-	-
7.0134	291000	0.0009	-	-	-	-	-	-	-	-	-	-
7.0255	291500	0.0009	-	-	-	-	-	-	-	-	-	-
7.0375	292000	0.0009	0.0009	-0.12001528	0.9166	-0.15557852	0.7974	-0.11267973	0.9411	-0.10229165	0.9672	0.8036
7.0496	292500	0.0009	-	-	-	-	-	-	-	-	-	-
7.0616	293000	0.0009	-	-	-	-	-	-	-	-	-	-
7.0737	293500	0.0009	-	-	-	-	-	-	-	-	-	-
7.0857	294000	0.0009	0.0009	-0.11979923	0.9167	-0.1555426	0.7978	-0.11248009	0.9417	-0.10198876	0.9679	0.8040
7.0978	294500	0.0009	-	-	-	-	-	-	-	-	-	-
7.1098	295000	0.0009	-	-	-	-	-	-	-	-	-	-
7.1219	295500	0.0009	-	-	-	-	-	-	-	-	-	-
7.1339	296000	0.0009	0.0009	-0.11987785	0.9169	-0.1555754	0.7977	-0.11250449	0.9405	-0.10214794	0.9670	0.8018
7.1460	296500	0.0009	-	-	-	-	-	-	-	-	-	-
7.1580	297000	0.0009	-	-	-	-	-	-	-	-	-	-
7.1701	297500	0.0009	-	-	-	-	-	-	-	-	-	-
7.1821	298000	0.0009	0.0009	-0.119688824	0.9176	-0.15550643	0.7982	-0.11232202	0.9405	-0.101807326	0.9681	0.8078
7.1942	298500	0.0009	-	-	-	-	-	-	-	-	-	-
7.2062	299000	0.0009	-	-	-	-	-	-	-	-	-	-
7.2183	299500	0.0009	-	-	-	-	-	-	-	-	-	-
7.2303	300000	0.0009	0.0009	-0.11971262	0.9176	-0.15550669	0.7990	-0.11238387	0.9413	-0.10191666	0.9677	0.8019
7.2424	300500	0.0009	-	-	-	-	-	-	-	-	-	-
7.2544	301000	0.0009	-	-	-	-	-	-	-	-	-	-
7.2665	301500	0.0009	-	-	-	-	-	-	-	-	-	-
7.2785	302000	0.0009	0.0009	-0.11962534	0.9180	-0.15534492	0.7978	-0.112284176	0.9409	-0.10193215	0.9675	0.8062
7.2906	302500	0.0009	-	-	-	-	-	-	-	-	-	-
7.3026	303000	0.0009	-	-	-	-	-	-	-	-	-	-
7.3147	303500	0.0009	-	-	-	-	-	-	-	-	-	-
7.3267	304000	0.0009	0.0009	-0.11973646	0.9175	-0.15549803	0.7974	-0.11241035	0.9408	-0.10194889	0.9675	0.8056
7.3388	304500	0.0009	-	-	-	-	-	-	-	-	-	-
7.3508	305000	0.0009	-	-	-	-	-	-	-	-	-	-
7.3629	305500	0.0009	-	-	-	-	-	-	-	-	-	-
7.3749	306000	0.0009	0.0009	-0.11973249	0.917	-0.15538958	0.7976	-0.11246858	0.9408	-0.102036536	0.9672	0.8061
7.3870	306500	0.0009	-	-	-	-	-	-	-	-	-	-
7.3990	307000	0.0009	-	-	-	-	-	-	-	-	-	-
7.4111	307500	0.0009	-	-	-	-	-	-	-	-	-	-
7.4231	308000	0.0009	0.0009	-0.11952459	0.9179	-0.15516576	0.7982	-0.1122838	0.9405	-0.10183045	0.9677	0.8054
7.4352	308500	0.0009	-	-	-	-	-	-	-	-	-	-
7.4472	309000	0.0009	-	-	-	-	-	-	-	-	-	-
7.4593	309500	0.0009	-	-	-	-	-	-	-	-	-	-
7.4713	310000	0.0009	0.0009	-0.119552776	0.9178	-0.1553523	0.7979	-0.11226363	0.9412	-0.10167157	0.9679	0.8072
7.4834	310500	0.0009	-	-	-	-	-	-	-	-	-	-
7.4954	311000	0.0009	-	-	-	-	-	-	-	-	-	-
7.5075	311500	0.0009	-	-	-	-	-	-	-	-	-	-
7.5195	312000	0.0009	0.0009	-0.119648755	0.9179	-0.15523389	0.7979	-0.11236003	0.9415	-0.10171616	0.9677	0.8034
7.5316	312500	0.0009	-	-	-	-	-	-	-	-	-	-
7.5436	313000	0.0009	-	-	-	-	-	-	-	-	-	-
7.5557	313500	0.0009	-	-	-	-	-	-	-	-	-	-
7.5677	314000	0.0009	0.0009	-0.119454876	0.9178	-0.155044	0.7979	-0.11212282	0.9416	-0.10165443	0.9673	0.8041
7.5798	314500	0.0009	-	-	-	-	-	-	-	-	-	-
7.5918	315000	0.0009	-	-	-	-	-	-	-	-	-	-
7.6039	315500	0.0009	-	-	-	-	-	-	-	-	-	-
7.6159	316000	0.0009	0.0009	-0.11941844	0.9183	-0.15511592	0.7989	-0.11211081	0.9410	-0.10159536	0.9677	0.8039
7.6280	316500	0.0009	-	-	-	-	-	-	-	-	-	-
7.6400	317000	0.0009	-	-	-	-	-	-	-	-	-	-
7.6521	317500	0.0009	-	-	-	-	-	-	-	-	-	-
7.6641	318000	0.0009	0.0009	-0.119426034	0.9184	-0.15516083	0.7989	-0.11215276	0.9412	-0.1015913	0.9679	0.8062
7.6762	318500	0.0009	-	-	-	-	-	-	-	-	-	-
7.6882	319000	0.0009	-	-	-	-	-	-	-	-	-	-
7.7003	319500	0.0009	-	-	-	-	-	-	-	-	-	-
7.7123	320000	0.0009	0.0009	-0.119253084	0.9187	-0.15501247	0.7990	-0.11199738	0.9410	-0.101418674	0.9676	0.8050
7.7244	320500	0.0009	-	-	-	-	-	-	-	-	-	-
7.7364	321000	0.0009	-	-	-	-	-	-	-	-	-	-
7.7485	321500	0.0009	-	-	-	-	-	-	-	-	-	-
7.7605	322000	0.0009	0.0009	-0.11922525	0.9184	-0.15498535	0.7986	-0.11194892	0.9413	-0.10143363	0.9675	0.8031
7.7726	322500	0.0009	-	-	-	-	-	-	-	-	-	-
7.7846	323000	0.0009	-	-	-	-	-	-	-	-	-	-
7.7967	323500	0.0009	-	-	-	-	-	-	-	-	-	-
7.8087	324000	0.0009	0.0009	-0.11920707	0.9188	-0.15494597	0.7991	-0.111885905	0.9410	-0.101413146	0.9678	0.8064
7.8208	324500	0.0009	-	-	-	-	-	-	-	-	-	-
7.8328	325000	0.0009	-	-	-	-	-	-	-	-	-	-
7.8449	325500	0.0009	-	-	-	-	-	-	-	-	-	-
7.8569	326000	0.0009	0.0009	-0.11921092	0.9182	-0.1549173	0.7984	-0.11192745	0.9414	-0.101370506	0.9678	0.8079
7.8690	326500	0.0009	-	-	-	-	-	-	-	-	-	-
7.8810	327000	0.0009	-	-	-	-	-	-	-	-	-	-
7.8931	327500	0.0009	-	-	-	-	-	-	-	-	-	-
7.9051	328000	0.0009	0.0009	-0.1191081	0.9184	-0.15484504	0.7993	-0.11179594	0.9413	-0.10126881	0.9679	0.8076
7.9172	328500	0.0009	-	-	-	-	-	-	-	-	-	-
7.9293	329000	0.0009	-	-	-	-	-	-	-	-	-	-
7.9413	329500	0.0009	-	-	-	-	-	-	-	-	-	-
7.9534	330000	0.0009	0.0009	-0.11908747	0.9187	-0.15486006	0.7994	-0.111803986	0.9413	-0.101246744	0.9679	0.8068
7.9654	330500	0.0009	-	-	-	-	-	-	-	-	-	-
7.9775	331000	0.0009	-	-	-	-	-	-	-	-	-	-
7.9895	331500	0.0009	-	-	-	-	-	-	-	-	-	-

Framework Versions

Python: 3.10.16
Sentence Transformers: 3.3.1
Transformers: 4.48.0
PyTorch: 2.5.1+cu124
Accelerate: 1.2.1
Datasets: 3.2.0
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",
}

jvanhoof
/

all-MiniLM-L6-v2-ja-tier-0

SentenceTransformer based on sentence-transformers/all-MiniLM-L6-v2

Model Details

Model Description

Model Sources

Full Model Architecture

Usage

Direct Usage (Sentence Transformers)

Evaluation

Metrics

Knowledge Distillation

Translation

Semantic Similarity

Training Details

Training Dataset

Unnamed Dataset

Evaluation Dataset

Unnamed Dataset

Training Hyperparameters

Non-Default Hyperparameters

All Hyperparameters

Training Logs

Framework Versions

Citation

BibTeX

Sentence Transformers

MSELoss

Model tree for jvanhoof/all-MiniLM-L6-v2-ja-tier-0

Evaluation results