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README.md CHANGED
@@ -7,49 +7,52 @@ tags:
7
  - generated_from_trainer
8
  - dataset_size:828486
9
  - loss:SymmetricLoss
 
10
  widget:
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- - source_sentence: Diseases of the genitourinary system Diseases of male genital
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- organs
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  sentences:
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- - Diseases of the nervous system and sense organs → Paralysis
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- - Diseases of the genitourinary system
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- - Diseases of the skin and subcutaneous tissue
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- - source_sentence: Complications of pregnancy; childbirth; and the puerperium → Abortion-related
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- disorders
 
 
 
 
 
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  sentences:
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  - Diseases of the digestive system → Disorders of teeth and jaw
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- - Complications of pregnancy; childbirth; and the puerperium
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  - Endocrine; nutritional; and metabolic diseases and immunity disorders
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- - source_sentence: Diseases of the musculoskeletal system and connective tissue
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- Infective arthritis and osteomyelitis (except that caused by TB or STD)
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- sentences:
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- - Mental illness
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- - Diseases of the circulatory system → Diseases of veins and lymphatics
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- - Diseases of the musculoskeletal system and connective tissue
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- - source_sentence: Diseases of the musculoskeletal system and connective tissue →
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- Other connective tissue disease
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  sentences:
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- - Diseases of the skin and subcutaneous tissue
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- - Diseases of the respiratory system Other upper respiratory disease
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- - Diseases of the musculoskeletal system and connective tissue
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- - source_sentence: Congenital anomalies → Nervous system congenital anomalies
 
 
 
36
  sentences:
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- - Congenital anomalies
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- - Diseases of the nervous system and sense organs → Central nervous system infection
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- - Diseases of the nervous system and sense organs
 
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  pipeline_tag: sentence-similarity
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  library_name: sentence-transformers
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  ---
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44
- # HierarchyTransformerCompat
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46
- This is a [sentence-transformers](https://www.SBERT.net) model trained on the csv dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
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48
  ## Model Details
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50
  ### Model Description
51
  - **Model Type:** Sentence Transformer
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- <!-- - **Base model:** [Unknown](https://huggingface.co/unknown) -->
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  - **Maximum Sequence Length:** 256 tokens
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  - **Output Dimensionality:** 768 dimensions
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  - **Similarity Function:** Cosine Similarity
@@ -67,7 +70,7 @@ This is a [sentence-transformers](https://www.SBERT.net) model trained on the cs
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  ### Full Model Architecture
68
 
69
  ```
70
- HierarchyTransformerCompat(
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  (0): Transformer({'max_seq_length': 256, 'do_lower_case': False, 'architecture': 'BertModel'})
72
  (1): Pooling({'word_embedding_dimension': 768, '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})
73
  )
@@ -91,9 +94,9 @@ from sentence_transformers import SentenceTransformer
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  model = SentenceTransformer("sentence_transformers_model_id")
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  # Run inference
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  sentences = [
94
- 'Congenital anomaliesNervous system congenital anomalies',
95
- 'Congenital anomalies',
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- 'Diseases of the nervous system and sense organs → Central nervous system infection',
97
  ]
98
  embeddings = model.encode(sentences)
99
  print(embeddings.shape)
@@ -102,9 +105,9 @@ print(embeddings.shape)
102
  # Get the similarity scores for the embeddings
103
  similarities = model.similarity(embeddings, embeddings)
104
  print(similarities)
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- # tensor([[1.0000, 0.8669, 0.6612],
106
- # [0.8669, 1.0000, 0.5137],
107
- # [0.6612, 0.5137, 1.0000]])
108
  ```
109
 
110
  <!--
@@ -151,18 +154,18 @@ You can finetune this model on your own dataset.
151
 
152
  * Dataset: csv
153
  * Size: 828,486 training samples
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- * Columns: <code>child</code>, <code>parent</code>, <code>child_negative</code>, and <code>parent_negative</code>
155
  * Approximate statistics based on the first 1000 samples:
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- | | child | parent | child_negative | parent_negative |
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- |:--------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|
158
- | type | string | string | string | string |
159
- | details | <ul><li>min: 8 tokens</li><li>mean: 25.09 tokens</li><li>max: 65 tokens</li></ul> | <ul><li>min: 4 tokens</li><li>mean: 16.19 tokens</li><li>max: 41 tokens</li></ul> | <ul><li>min: 11 tokens</li><li>mean: 23.47 tokens</li><li>max: 65 tokens</li></ul> | <ul><li>min: 4 tokens</li><li>mean: 16.95 tokens</li><li>max: 34 tokens</li></ul> |
160
  * Samples:
161
- | child | parent | child_negative | parent_negative |
162
- |:---------------------------------------------------------------------|:-----------------------------------------------|:----------------------------------------------------------------------------------------------------|:----------------------------|
163
- | <code>Infectious and parasitic diseases → Bacterial infection</code> | <code>Infectious and parasitic diseases</code> | <code>Diseases of the nervous system and sense organs → Central nervous system infection</code> | <code>Mental illness</code> |
164
- | <code>Infectious and parasitic diseases → Bacterial infection</code> | <code>Infectious and parasitic diseases</code> | <code>Diseases of the digestive system → Intestinal infection</code> | <code>Mental illness</code> |
165
- | <code>Infectious and parasitic diseases → Bacterial infection</code> | <code>Infectious and parasitic diseases</code> | <code>Diseases of the skin and subcutaneous tissue → Skin and subcutaneous tissue infections</code> | <code>Mental illness</code> |
166
  * Loss: <code>hierarchy_transformers.losses.symmetric_loss.SymmetricLoss</code> with these parameters:
167
  ```json
168
  {
@@ -184,12 +187,11 @@ You can finetune this model on your own dataset.
184
  #### Non-Default Hyperparameters
185
 
186
  - `eval_strategy`: epoch
187
- - `per_device_train_batch_size`: 64
188
- - `per_device_eval_batch_size`: 128
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  - `learning_rate`: 1e-05
190
  - `num_train_epochs`: 10
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  - `warmup_steps`: 500
192
- - `bf16`: True
193
  - `load_best_model_at_end`: True
194
 
195
  #### All Hyperparameters
@@ -199,8 +201,8 @@ You can finetune this model on your own dataset.
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  - `do_predict`: False
200
  - `eval_strategy`: epoch
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  - `prediction_loss_only`: True
202
- - `per_device_train_batch_size`: 64
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- - `per_device_eval_batch_size`: 128
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  - `per_gpu_train_batch_size`: None
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  - `per_gpu_eval_batch_size`: None
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  - `gradient_accumulation_steps`: 1
@@ -232,7 +234,7 @@ You can finetune this model on your own dataset.
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  - `seed`: 42
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  - `data_seed`: None
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  - `jit_mode_eval`: False
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- - `bf16`: True
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  - `fp16`: False
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  - `fp16_opt_level`: O1
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  - `half_precision_backend`: auto
@@ -320,1312 +322,665 @@ You can finetune this model on your own dataset.
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  ### Training Logs
321
  <details><summary>Click to expand</summary>
322
 
323
- | Epoch | Step | Training Loss |
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- |:--------:|:----------:|:-------------:|
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- | 0.0077 | 100 | 3.6276 |
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- | 0.0154 | 200 | 3.4842 |
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- | 0.0232 | 300 | 3.5613 |
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- | 0.0309 | 400 | 3.5928 |
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- | 0.0386 | 500 | 3.6165 |
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- | 0.0463 | 600 | 3.6449 |
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- | 0.0541 | 700 | 3.6473 |
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- | 0.0618 | 800 | 3.6231 |
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- | 0.0695 | 900 | 3.6427 |
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- | 0.0772 | 1000 | 3.652 |
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- | 0.0850 | 1100 | 3.6026 |
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- | 0.0927 | 1200 | 3.5859 |
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- | 0.1004 | 1300 | 3.6434 |
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- | 0.1081 | 1400 | 3.4939 |
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- | 0.1159 | 1500 | 3.5408 |
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- | 0.1236 | 1600 | 3.6617 |
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- | 0.1313 | 1700 | 3.6957 |
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- | 0.1390 | 1800 | 3.5437 |
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- | 0.1468 | 1900 | 3.5704 |
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- | 0.1545 | 2000 | 3.6258 |
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- | 0.1622 | 2100 | 3.5813 |
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- | 0.1699 | 2200 | 3.594 |
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- | 0.1777 | 2300 | 3.6185 |
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- | 0.1854 | 2400 | 3.5176 |
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- | 0.1931 | 2500 | 3.5923 |
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- | 0.2008 | 2600 | 3.6309 |
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- | 0.2086 | 2700 | 3.5815 |
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- | 0.2163 | 2800 | 3.6397 |
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- | 0.2240 | 2900 | 3.6417 |
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- | 0.2317 | 3000 | 3.5435 |
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- | 0.2395 | 3100 | 3.6306 |
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- | 0.2472 | 3200 | 3.6114 |
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- | 0.2549 | 3300 | 3.6267 |
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- | 0.2626 | 3400 | 3.6287 |
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- | 0.2704 | 3500 | 3.5758 |
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- | 0.2781 | 3600 | 3.5548 |
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- | 0.2858 | 3700 | 3.6129 |
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- | 0.2935 | 3800 | 3.6204 |
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- | 0.3013 | 3900 | 3.5385 |
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- | 0.3090 | 4000 | 3.5946 |
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- | 0.3167 | 4100 | 3.5989 |
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- | 0.3244 | 4200 | 3.5837 |
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- | 0.3321 | 4300 | 3.6612 |
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- | 0.3399 | 4400 | 3.6166 |
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- | 0.3476 | 4500 | 3.6462 |
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- | 0.3553 | 4600 | 3.5894 |
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- | 0.3630 | 4700 | 3.6166 |
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- | 0.3708 | 4800 | 3.5795 |
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- | 0.3785 | 4900 | 3.5852 |
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- | 0.3862 | 5000 | 3.6338 |
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- | 0.3939 | 5100 | 3.7029 |
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- | 0.4017 | 5200 | 3.5662 |
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- | 0.4094 | 5300 | 3.5772 |
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- | 0.4171 | 5400 | 3.6157 |
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- | 0.4248 | 5500 | 3.7262 |
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- | 0.4326 | 5600 | 3.6279 |
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- | 0.4403 | 5700 | 3.5867 |
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- | 0.4480 | 5800 | 3.5776 |
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- | 0.4557 | 5900 | 3.6355 |
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- | 0.4635 | 6000 | 3.5871 |
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- | 0.4712 | 6100 | 3.5771 |
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- | 0.4789 | 6200 | 3.6358 |
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- | 0.4866 | 6300 | 3.5656 |
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- | 0.4944 | 6400 | 3.5761 |
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- | 0.5021 | 6500 | 3.5821 |
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- | 0.5098 | 6600 | 3.6595 |
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- | 0.5175 | 6700 | 3.5476 |
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- | 0.5253 | 6800 | 3.6195 |
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- | 0.5330 | 6900 | 3.577 |
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- | 0.5407 | 7000 | 3.6238 |
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- | 0.5484 | 7100 | 3.5597 |
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- | 0.5562 | 7200 | 3.5693 |
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- | 0.5639 | 7300 | 3.571 |
398
- | 0.5716 | 7400 | 3.6079 |
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- | 0.5793 | 7500 | 3.6155 |
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- | 0.5871 | 7600 | 3.6764 |
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- | 0.5948 | 7700 | 3.5932 |
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- | 0.6025 | 7800 | 3.6165 |
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- | 0.6102 | 7900 | 3.6194 |
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- | 0.6180 | 8000 | 3.6389 |
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- | 0.6257 | 8100 | 3.6233 |
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- | 0.6334 | 8200 | 3.6425 |
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- | 0.6411 | 8300 | 3.5846 |
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- | 0.6488 | 8400 | 3.5645 |
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- | 0.6566 | 8500 | 3.644 |
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- | 0.6643 | 8600 | 3.6221 |
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- | 0.6720 | 8700 | 3.6055 |
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- | 0.6797 | 8800 | 3.6684 |
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- | 0.6875 | 8900 | 3.6414 |
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- | 0.6952 | 9000 | 3.6554 |
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- | 0.7029 | 9100 | 3.6288 |
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- | 0.7106 | 9200 | 3.6622 |
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- | 0.7184 | 9300 | 3.6268 |
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- | 0.7261 | 9400 | 3.5981 |
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- | 0.7338 | 9500 | 3.5467 |
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- | 0.7415 | 9600 | 3.5467 |
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- | 0.7493 | 9700 | 3.5983 |
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- | 0.7570 | 9800 | 3.6417 |
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- | 0.7647 | 9900 | 3.6063 |
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- | 0.7724 | 10000 | 3.6323 |
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- | 0.7802 | 10100 | 3.6415 |
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- | 0.7879 | 10200 | 3.5821 |
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- | 0.7956 | 10300 | 3.6245 |
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- | 0.8033 | 10400 | 3.6186 |
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- | 0.8111 | 10500 | 3.5869 |
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- | 0.8188 | 10600 | 3.6328 |
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- | 0.8265 | 10700 | 3.5869 |
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- | 0.8342 | 10800 | 3.6522 |
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- | 0.8420 | 10900 | 3.5991 |
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- | 0.8497 | 11000 | 3.5371 |
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- | 0.8574 | 11100 | 3.6127 |
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- | 0.8651 | 11200 | 3.6358 |
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- | 0.8729 | 11300 | 3.5633 |
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- | 0.8806 | 11400 | 3.614 |
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- | 0.8883 | 11500 | 3.5756 |
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- | 0.8960 | 11600 | 3.641 |
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- | 0.9038 | 11700 | 3.671 |
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- | 0.9115 | 11800 | 3.6016 |
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- | 0.9192 | 11900 | 3.5704 |
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- | 0.9269 | 12000 | 3.583 |
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- | 0.9347 | 12100 | 3.5559 |
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- | 0.9424 | 12200 | 3.5673 |
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- | 0.9501 | 12300 | 3.6007 |
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- | 0.9578 | 12400 | 3.6176 |
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- | 0.9655 | 12500 | 3.6646 |
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- | 0.9733 | 12600 | 3.6553 |
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- | 0.9810 | 12700 | 3.6347 |
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- | 0.9887 | 12800 | 3.5682 |
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- | 0.9964 | 12900 | 3.5742 |
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- | 1.0 | 12946 | - |
455
- | 1.0042 | 13000 | 3.5657 |
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- | 1.0119 | 13100 | 3.5603 |
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- | 1.0196 | 13200 | 3.6119 |
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- | 1.0273 | 13300 | 3.5359 |
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- | 1.0351 | 13400 | 3.5613 |
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- | 1.0428 | 13500 | 3.629 |
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- | 1.0505 | 13600 | 3.6154 |
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- | 1.0582 | 13700 | 3.6195 |
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- | 1.0660 | 13800 | 3.54 |
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- | 1.0737 | 13900 | 3.6009 |
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- | 1.0814 | 14000 | 3.5876 |
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- | 1.0891 | 14100 | 3.6353 |
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- | 1.0969 | 14200 | 3.5528 |
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- | 1.1046 | 14300 | 3.588 |
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- | 1.1123 | 14400 | 3.585 |
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- | 1.1200 | 14500 | 3.6188 |
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- | 1.1278 | 14600 | 3.558 |
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- | 1.1355 | 14700 | 3.6953 |
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- | 1.1432 | 14800 | 3.6209 |
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- | 1.1509 | 14900 | 3.6157 |
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- | 1.1587 | 15000 | 3.5562 |
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- | 1.1664 | 15100 | 3.6143 |
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- | 1.1741 | 15200 | 3.6799 |
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- | 1.1818 | 15300 | 3.6357 |
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- | 1.1896 | 15400 | 3.5259 |
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- | 1.1973 | 15500 | 3.641 |
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- | 1.2050 | 15600 | 3.6252 |
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- | 1.2127 | 15700 | 3.6125 |
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- | 1.2205 | 15800 | 3.5837 |
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- | 1.2282 | 15900 | 3.6463 |
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- | 1.2359 | 16000 | 3.6657 |
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- | 1.2436 | 16100 | 3.6027 |
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- | 1.2514 | 16200 | 3.6861 |
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- | 1.2591 | 16300 | 3.5984 |
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- | 1.2668 | 16400 | 3.5957 |
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- | 1.2745 | 16500 | 3.5385 |
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- | 1.2822 | 16600 | 3.6543 |
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- | 1.2900 | 16700 | 3.6226 |
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- | 1.2977 | 16800 | 3.6053 |
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- | 1.3054 | 16900 | 3.591 |
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- | 1.3131 | 17000 | 3.5578 |
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- | 1.3209 | 17100 | 3.6423 |
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- | 1.3286 | 17200 | 3.5829 |
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- | 1.3363 | 17300 | 3.6219 |
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- | 1.3440 | 17400 | 3.5736 |
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- | 1.3518 | 17500 | 3.5584 |
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- | 1.3595 | 17600 | 3.5737 |
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- | 1.3672 | 17700 | 3.6468 |
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- | 1.3749 | 17800 | 3.6286 |
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- | 1.3827 | 17900 | 3.6283 |
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- | 1.3904 | 18000 | 3.6238 |
506
- | 1.3981 | 18100 | 3.5336 |
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- | 1.4058 | 18200 | 3.6249 |
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- | 1.4136 | 18300 | 3.5865 |
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- | 1.4213 | 18400 | 3.5356 |
510
- | 1.4290 | 18500 | 3.5957 |
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- | 1.4367 | 18600 | 3.5985 |
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- | 1.4445 | 18700 | 3.5243 |
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- | 1.4522 | 18800 | 3.6062 |
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- | 1.4599 | 18900 | 3.6297 |
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- | 1.4676 | 19000 | 3.6293 |
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- | 1.4754 | 19100 | 3.5973 |
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- | 1.4831 | 19200 | 3.5546 |
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- | 1.4908 | 19300 | 3.5521 |
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- | 1.4985 | 19400 | 3.5857 |
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- | 1.5063 | 19500 | 3.5288 |
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- | 1.5140 | 19600 | 3.6396 |
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- | 1.5217 | 19700 | 3.5916 |
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- | 1.5294 | 19800 | 3.5872 |
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- | 1.5372 | 19900 | 3.5978 |
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- | 1.5449 | 20000 | 3.6291 |
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- | 1.5526 | 20100 | 3.6172 |
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- | 1.5603 | 20200 | 3.5698 |
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- | 1.5681 | 20300 | 3.5951 |
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- | 1.5758 | 20400 | 3.5977 |
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- | 1.5835 | 20500 | 3.5327 |
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- | 1.5912 | 20600 | 3.6882 |
532
- | 1.5989 | 20700 | 3.5978 |
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- | 1.6067 | 20800 | 3.5933 |
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- | 1.6144 | 20900 | 3.6507 |
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- | 1.6221 | 21000 | 3.5715 |
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- | 1.6298 | 21100 | 3.554 |
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- | 1.6376 | 21200 | 3.6916 |
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- | 1.6453 | 21300 | 3.6557 |
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- | 1.6530 | 21400 | 3.579 |
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- | 1.6607 | 21500 | 3.5537 |
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- | 1.6685 | 21600 | 3.6193 |
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- | 1.6762 | 21700 | 3.6505 |
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- | 1.6839 | 21800 | 3.5629 |
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- | 1.6916 | 21900 | 3.5513 |
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- | 1.6994 | 22000 | 3.6284 |
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- | 1.7071 | 22100 | 3.5721 |
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- | 1.7148 | 22200 | 3.5727 |
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- | 1.7225 | 22300 | 3.6115 |
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- | 1.7303 | 22400 | 3.5507 |
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- | 1.7380 | 22500 | 3.5274 |
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- | 1.7457 | 22600 | 3.5467 |
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- | 1.7534 | 22700 | 3.5935 |
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- | 1.7612 | 22800 | 3.6604 |
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- | 1.7689 | 22900 | 3.5761 |
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- | 1.7766 | 23000 | 3.5724 |
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- | 1.7843 | 23100 | 3.6254 |
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- | 1.7921 | 23200 | 3.5631 |
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- | 1.7998 | 23300 | 3.5304 |
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- | 1.8075 | 23400 | 3.6048 |
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- | 1.8152 | 23500 | 3.6152 |
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- | 1.8230 | 23600 | 3.5525 |
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- | 1.8307 | 23700 | 3.6373 |
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- | 1.8384 | 23800 | 3.5769 |
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- | 1.8461 | 23900 | 3.5917 |
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- | 1.8539 | 24000 | 3.597 |
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- | 1.8616 | 24100 | 3.532 |
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- | 1.8693 | 24200 | 3.6267 |
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- | 1.8770 | 24300 | 3.6104 |
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- | 1.8848 | 24400 | 3.6096 |
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- | 1.8925 | 24500 | 3.5788 |
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- | 1.9002 | 24600 | 3.6394 |
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- | 1.9079 | 24700 | 3.5561 |
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- | 1.9156 | 24800 | 3.6027 |
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- | 1.9234 | 24900 | 3.5929 |
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- | 1.9311 | 25000 | 3.5861 |
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- | 1.9388 | 25100 | 3.6458 |
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- | 1.9465 | 25200 | 3.6135 |
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- | 1.9543 | 25300 | 3.6685 |
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- | 1.9620 | 25400 | 3.5868 |
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- | 1.9697 | 25500 | 3.6063 |
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- | 1.9774 | 25600 | 3.5569 |
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- | 1.9852 | 25700 | 3.6159 |
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- | 1.9929 | 25800 | 3.5561 |
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- | 2.0 | 25892 | - |
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- | 2.0006 | 25900 | 3.6137 |
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- | 2.0083 | 26000 | 3.5875 |
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- | 2.0161 | 26100 | 3.5944 |
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- | 2.0238 | 26200 | 3.6448 |
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- | 2.0315 | 26300 | 3.5724 |
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- | 2.0392 | 26400 | 3.5393 |
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- | 2.0470 | 26500 | 3.5749 |
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- | 2.0547 | 26600 | 3.6046 |
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- | 2.0624 | 26700 | 3.6086 |
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- | 2.0701 | 26800 | 3.6123 |
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- | 2.0779 | 26900 | 3.5889 |
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- | 2.0856 | 27000 | 3.5522 |
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- | 2.0933 | 27100 | 3.6304 |
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- | 2.1010 | 27200 | 3.6193 |
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- | 2.1088 | 27300 | 3.618 |
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- | 2.1165 | 27400 | 3.5772 |
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- | 2.1242 | 27500 | 3.6359 |
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- | 2.1319 | 27600 | 3.6261 |
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- | 2.1397 | 27700 | 3.5946 |
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- | 2.1474 | 27800 | 3.609 |
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- | 2.1551 | 27900 | 3.6127 |
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- | 2.1628 | 28000 | 3.6093 |
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- | 2.1706 | 28100 | 3.6276 |
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- | 2.1783 | 28200 | 3.5725 |
609
- | 2.1860 | 28300 | 3.5564 |
610
- | 2.1937 | 28400 | 3.5631 |
611
- | 2.2015 | 28500 | 3.5285 |
612
- | 2.2092 | 28600 | 3.5518 |
613
- | 2.2169 | 28700 | 3.6052 |
614
- | 2.2246 | 28800 | 3.5858 |
615
- | 2.2323 | 28900 | 3.5721 |
616
- | 2.2401 | 29000 | 3.6102 |
617
- | 2.2478 | 29100 | 3.6299 |
618
- | 2.2555 | 29200 | 3.5618 |
619
- | 2.2632 | 29300 | 3.6312 |
620
- | 2.2710 | 29400 | 3.651 |
621
- | 2.2787 | 29500 | 3.5446 |
622
- | 2.2864 | 29600 | 3.5835 |
623
- | 2.2941 | 29700 | 3.5625 |
624
- | 2.3019 | 29800 | 3.5689 |
625
- | 2.3096 | 29900 | 3.6338 |
626
- | 2.3173 | 30000 | 3.5742 |
627
- | 2.3250 | 30100 | 3.6116 |
628
- | 2.3328 | 30200 | 3.5703 |
629
- | 2.3405 | 30300 | 3.6307 |
630
- | 2.3482 | 30400 | 3.6073 |
631
- | 2.3559 | 30500 | 3.5629 |
632
- | 2.3637 | 30600 | 3.5832 |
633
- | 2.3714 | 30700 | 3.6242 |
634
- | 2.3791 | 30800 | 3.5511 |
635
- | 2.3868 | 30900 | 3.5845 |
636
- | 2.3946 | 31000 | 3.5915 |
637
- | 2.4023 | 31100 | 3.6094 |
638
- | 2.4100 | 31200 | 3.5599 |
639
- | 2.4177 | 31300 | 3.5573 |
640
- | 2.4255 | 31400 | 3.6302 |
641
- | 2.4332 | 31500 | 3.5535 |
642
- | 2.4409 | 31600 | 3.5844 |
643
- | 2.4486 | 31700 | 3.6236 |
644
- | 2.4564 | 31800 | 3.6475 |
645
- | 2.4641 | 31900 | 3.601 |
646
- | 2.4718 | 32000 | 3.6491 |
647
- | 2.4795 | 32100 | 3.6121 |
648
- | 2.4873 | 32200 | 3.5585 |
649
- | 2.4950 | 32300 | 3.5564 |
650
- | 2.5027 | 32400 | 3.6702 |
651
- | 2.5104 | 32500 | 3.5262 |
652
- | 2.5182 | 32600 | 3.5695 |
653
- | 2.5259 | 32700 | 3.6821 |
654
- | 2.5336 | 32800 | 3.5373 |
655
- | 2.5413 | 32900 | 3.5276 |
656
- | 2.5490 | 33000 | 3.544 |
657
- | 2.5568 | 33100 | 3.6296 |
658
- | 2.5645 | 33200 | 3.581 |
659
- | 2.5722 | 33300 | 3.6394 |
660
- | 2.5799 | 33400 | 3.583 |
661
- | 2.5877 | 33500 | 3.5602 |
662
- | 2.5954 | 33600 | 3.6008 |
663
- | 2.6031 | 33700 | 3.5382 |
664
- | 2.6108 | 33800 | 3.6576 |
665
- | 2.6186 | 33900 | 3.5506 |
666
- | 2.6263 | 34000 | 3.5915 |
667
- | 2.6340 | 34100 | 3.5242 |
668
- | 2.6417 | 34200 | 3.6099 |
669
- | 2.6495 | 34300 | 3.6125 |
670
- | 2.6572 | 34400 | 3.5802 |
671
- | 2.6649 | 34500 | 3.6058 |
672
- | 2.6726 | 34600 | 3.5031 |
673
- | 2.6804 | 34700 | 3.6191 |
674
- | 2.6881 | 34800 | 3.6056 |
675
- | 2.6958 | 34900 | 3.6464 |
676
- | 2.7035 | 35000 | 3.6208 |
677
- | 2.7113 | 35100 | 3.6437 |
678
- | 2.7190 | 35200 | 3.5581 |
679
- | 2.7267 | 35300 | 3.604 |
680
- | 2.7344 | 35400 | 3.603 |
681
- | 2.7422 | 35500 | 3.533 |
682
- | 2.7499 | 35600 | 3.5641 |
683
- | 2.7576 | 35700 | 3.6319 |
684
- | 2.7653 | 35800 | 3.5671 |
685
- | 2.7731 | 35900 | 3.5897 |
686
- | 2.7808 | 36000 | 3.5365 |
687
- | 2.7885 | 36100 | 3.634 |
688
- | 2.7962 | 36200 | 3.6243 |
689
- | 2.8040 | 36300 | 3.5238 |
690
- | 2.8117 | 36400 | 3.6204 |
691
- | 2.8194 | 36500 | 3.5868 |
692
- | 2.8271 | 36600 | 3.5714 |
693
- | 2.8349 | 36700 | 3.5368 |
694
- | 2.8426 | 36800 | 3.6029 |
695
- | 2.8503 | 36900 | 3.583 |
696
- | 2.8580 | 37000 | 3.6072 |
697
- | 2.8658 | 37100 | 3.592 |
698
- | 2.8735 | 37200 | 3.6164 |
699
- | 2.8812 | 37300 | 3.5636 |
700
- | 2.8889 | 37400 | 3.6543 |
701
- | 2.8966 | 37500 | 3.5595 |
702
- | 2.9044 | 37600 | 3.5979 |
703
- | 2.9121 | 37700 | 3.5075 |
704
- | 2.9198 | 37800 | 3.5977 |
705
- | 2.9275 | 37900 | 3.6485 |
706
- | 2.9353 | 38000 | 3.5062 |
707
- | 2.9430 | 38100 | 3.5459 |
708
- | 2.9507 | 38200 | 3.567 |
709
- | 2.9584 | 38300 | 3.6045 |
710
- | 2.9662 | 38400 | 3.5975 |
711
- | 2.9739 | 38500 | 3.5999 |
712
- | 2.9816 | 38600 | 3.555 |
713
- | 2.9893 | 38700 | 3.566 |
714
- | 2.9971 | 38800 | 3.6291 |
715
- | 3.0 | 38838 | - |
716
- | 3.0048 | 38900 | 3.5615 |
717
- | 3.0125 | 39000 | 3.5605 |
718
- | 3.0202 | 39100 | 3.5934 |
719
- | 3.0280 | 39200 | 3.5844 |
720
- | 3.0357 | 39300 | 3.5816 |
721
- | 3.0434 | 39400 | 3.5161 |
722
- | 3.0511 | 39500 | 3.5476 |
723
- | 3.0589 | 39600 | 3.6755 |
724
- | 3.0666 | 39700 | 3.5579 |
725
- | 3.0743 | 39800 | 3.5442 |
726
- | 3.0820 | 39900 | 3.5241 |
727
- | 3.0898 | 40000 | 3.6378 |
728
- | 3.0975 | 40100 | 3.5823 |
729
- | 3.1052 | 40200 | 3.5353 |
730
- | 3.1129 | 40300 | 3.5906 |
731
- | 3.1207 | 40400 | 3.6024 |
732
- | 3.1284 | 40500 | 3.5905 |
733
- | 3.1361 | 40600 | 3.5412 |
734
- | 3.1438 | 40700 | 3.5378 |
735
- | 3.1516 | 40800 | 3.5241 |
736
- | 3.1593 | 40900 | 3.6623 |
737
- | 3.1670 | 41000 | 3.5981 |
738
- | 3.1747 | 41100 | 3.5108 |
739
- | 3.1825 | 41200 | 3.5962 |
740
- | 3.1902 | 41300 | 3.5345 |
741
- | 3.1979 | 41400 | 3.5472 |
742
- | 3.2056 | 41500 | 3.6412 |
743
- | 3.2133 | 41600 | 3.6571 |
744
- | 3.2211 | 41700 | 3.6009 |
745
- | 3.2288 | 41800 | 3.5897 |
746
- | 3.2365 | 41900 | 3.6351 |
747
- | 3.2442 | 42000 | 3.5725 |
748
- | 3.2520 | 42100 | 3.653 |
749
- | 3.2597 | 42200 | 3.601 |
750
- | 3.2674 | 42300 | 3.6031 |
751
- | 3.2751 | 42400 | 3.5387 |
752
- | 3.2829 | 42500 | 3.6151 |
753
- | 3.2906 | 42600 | 3.5731 |
754
- | 3.2983 | 42700 | 3.524 |
755
- | 3.3060 | 42800 | 3.6096 |
756
- | 3.3138 | 42900 | 3.5254 |
757
- | 3.3215 | 43000 | 3.5775 |
758
- | 3.3292 | 43100 | 3.5583 |
759
- | 3.3369 | 43200 | 3.5383 |
760
- | 3.3447 | 43300 | 3.5147 |
761
- | 3.3524 | 43400 | 3.6309 |
762
- | 3.3601 | 43500 | 3.5682 |
763
- | 3.3678 | 43600 | 3.6368 |
764
- | 3.3756 | 43700 | 3.6024 |
765
- | 3.3833 | 43800 | 3.6037 |
766
- | 3.3910 | 43900 | 3.597 |
767
- | 3.3987 | 44000 | 3.6357 |
768
- | 3.4065 | 44100 | 3.6082 |
769
- | 3.4142 | 44200 | 3.5489 |
770
- | 3.4219 | 44300 | 3.5475 |
771
- | 3.4296 | 44400 | 3.5442 |
772
- | 3.4374 | 44500 | 3.6057 |
773
- | 3.4451 | 44600 | 3.586 |
774
- | 3.4528 | 44700 | 3.531 |
775
- | 3.4605 | 44800 | 3.4946 |
776
- | 3.4683 | 44900 | 3.6103 |
777
- | 3.4760 | 45000 | 3.5329 |
778
- | 3.4837 | 45100 | 3.532 |
779
- | 3.4914 | 45200 | 3.6199 |
780
- | 3.4992 | 45300 | 3.5643 |
781
- | 3.5069 | 45400 | 3.5838 |
782
- | 3.5146 | 45500 | 3.6262 |
783
- | 3.5223 | 45600 | 3.5967 |
784
- | 3.5300 | 45700 | 3.5427 |
785
- | 3.5378 | 45800 | 3.6189 |
786
- | 3.5455 | 45900 | 3.5664 |
787
- | 3.5532 | 46000 | 3.6675 |
788
- | 3.5609 | 46100 | 3.6173 |
789
- | 3.5687 | 46200 | 3.5813 |
790
- | 3.5764 | 46300 | 3.5255 |
791
- | 3.5841 | 46400 | 3.5625 |
792
- | 3.5918 | 46500 | 3.6215 |
793
- | 3.5996 | 46600 | 3.6194 |
794
- | 3.6073 | 46700 | 3.5973 |
795
- | 3.6150 | 46800 | 3.5775 |
796
- | 3.6227 | 46900 | 3.5332 |
797
- | 3.6305 | 47000 | 3.5614 |
798
- | 3.6382 | 47100 | 3.5791 |
799
- | 3.6459 | 47200 | 3.605 |
800
- | 3.6536 | 47300 | 3.5324 |
801
- | 3.6614 | 47400 | 3.5165 |
802
- | 3.6691 | 47500 | 3.5099 |
803
- | 3.6768 | 47600 | 3.5905 |
804
- | 3.6845 | 47700 | 3.5627 |
805
- | 3.6923 | 47800 | 3.5292 |
806
- | 3.7000 | 47900 | 3.6211 |
807
- | 3.7077 | 48000 | 3.5929 |
808
- | 3.7154 | 48100 | 3.5743 |
809
- | 3.7232 | 48200 | 3.6056 |
810
- | 3.7309 | 48300 | 3.5969 |
811
- | 3.7386 | 48400 | 3.5685 |
812
- | 3.7463 | 48500 | 3.54 |
813
- | 3.7541 | 48600 | 3.5534 |
814
- | 3.7618 | 48700 | 3.5718 |
815
- | 3.7695 | 48800 | 3.6468 |
816
- | 3.7772 | 48900 | 3.6451 |
817
- | 3.7850 | 49000 | 3.6543 |
818
- | 3.7927 | 49100 | 3.5599 |
819
- | 3.8004 | 49200 | 3.6708 |
820
- | 3.8081 | 49300 | 3.5965 |
821
- | 3.8159 | 49400 | 3.5303 |
822
- | 3.8236 | 49500 | 3.6126 |
823
- | 3.8313 | 49600 | 3.5486 |
824
- | 3.8390 | 49700 | 3.5529 |
825
- | 3.8467 | 49800 | 3.5878 |
826
- | 3.8545 | 49900 | 3.5643 |
827
- | 3.8622 | 50000 | 3.6026 |
828
- | 3.8699 | 50100 | 3.5819 |
829
- | 3.8776 | 50200 | 3.5566 |
830
- | 3.8854 | 50300 | 3.5706 |
831
- | 3.8931 | 50400 | 3.5167 |
832
- | 3.9008 | 50500 | 3.6793 |
833
- | 3.9085 | 50600 | 3.5539 |
834
- | 3.9163 | 50700 | 3.558 |
835
- | 3.9240 | 50800 | 3.6148 |
836
- | 3.9317 | 50900 | 3.5697 |
837
- | 3.9394 | 51000 | 3.5901 |
838
- | 3.9472 | 51100 | 3.5933 |
839
- | 3.9549 | 51200 | 3.6098 |
840
- | 3.9626 | 51300 | 3.5678 |
841
- | 3.9703 | 51400 | 3.5298 |
842
- | 3.9781 | 51500 | 3.5915 |
843
- | 3.9858 | 51600 | 3.6285 |
844
- | 3.9935 | 51700 | 3.6121 |
845
- | 4.0 | 51784 | - |
846
- | 4.0012 | 51800 | 3.5377 |
847
- | 4.0090 | 51900 | 3.6035 |
848
- | 4.0167 | 52000 | 3.5444 |
849
- | 4.0244 | 52100 | 3.6043 |
850
- | 4.0321 | 52200 | 3.584 |
851
- | 4.0399 | 52300 | 3.6264 |
852
- | 4.0476 | 52400 | 3.6143 |
853
- | 4.0553 | 52500 | 3.5572 |
854
- | 4.0630 | 52600 | 3.6155 |
855
- | 4.0708 | 52700 | 3.5455 |
856
- | 4.0785 | 52800 | 3.5482 |
857
- | 4.0862 | 52900 | 3.618 |
858
- | 4.0939 | 53000 | 3.5418 |
859
- | 4.1017 | 53100 | 3.6525 |
860
- | 4.1094 | 53200 | 3.5874 |
861
- | 4.1171 | 53300 | 3.5112 |
862
- | 4.1248 | 53400 | 3.5517 |
863
- | 4.1326 | 53500 | 3.6333 |
864
- | 4.1403 | 53600 | 3.5984 |
865
- | 4.1480 | 53700 | 3.5923 |
866
- | 4.1557 | 53800 | 3.4877 |
867
- | 4.1634 | 53900 | 3.6383 |
868
- | 4.1712 | 54000 | 3.5288 |
869
- | 4.1789 | 54100 | 3.5499 |
870
- | 4.1866 | 54200 | 3.5549 |
871
- | 4.1943 | 54300 | 3.5762 |
872
- | 4.2021 | 54400 | 3.5145 |
873
- | 4.2098 | 54500 | 3.6302 |
874
- | 4.2175 | 54600 | 3.5701 |
875
- | 4.2252 | 54700 | 3.6079 |
876
- | 4.2330 | 54800 | 3.5595 |
877
- | 4.2407 | 54900 | 3.5299 |
878
- | 4.2484 | 55000 | 3.5616 |
879
- | 4.2561 | 55100 | 3.4761 |
880
- | 4.2639 | 55200 | 3.649 |
881
- | 4.2716 | 55300 | 3.578 |
882
- | 4.2793 | 55400 | 3.6605 |
883
- | 4.2870 | 55500 | 3.6203 |
884
- | 4.2948 | 55600 | 3.6097 |
885
- | 4.3025 | 55700 | 3.6298 |
886
- | 4.3102 | 55800 | 3.5684 |
887
- | 4.3179 | 55900 | 3.5793 |
888
- | 4.3257 | 56000 | 3.5016 |
889
- | 4.3334 | 56100 | 3.5862 |
890
- | 4.3411 | 56200 | 3.5878 |
891
- | 4.3488 | 56300 | 3.5383 |
892
- | 4.3566 | 56400 | 3.5733 |
893
- | 4.3643 | 56500 | 3.5529 |
894
- | 4.3720 | 56600 | 3.5443 |
895
- | 4.3797 | 56700 | 3.5587 |
896
- | 4.3875 | 56800 | 3.6017 |
897
- | 4.3952 | 56900 | 3.6768 |
898
- | 4.4029 | 57000 | 3.5793 |
899
- | 4.4106 | 57100 | 3.6074 |
900
- | 4.4184 | 57200 | 3.5632 |
901
- | 4.4261 | 57300 | 3.6009 |
902
- | 4.4338 | 57400 | 3.5993 |
903
- | 4.4415 | 57500 | 3.5648 |
904
- | 4.4493 | 57600 | 3.6307 |
905
- | 4.4570 | 57700 | 3.5573 |
906
- | 4.4647 | 57800 | 3.5309 |
907
- | 4.4724 | 57900 | 3.6046 |
908
- | 4.4801 | 58000 | 3.5909 |
909
- | 4.4879 | 58100 | 3.569 |
910
- | 4.4956 | 58200 | 3.5425 |
911
- | 4.5033 | 58300 | 3.5399 |
912
- | 4.5110 | 58400 | 3.5885 |
913
- | 4.5188 | 58500 | 3.5727 |
914
- | 4.5265 | 58600 | 3.4748 |
915
- | 4.5342 | 58700 | 3.566 |
916
- | 4.5419 | 58800 | 3.6219 |
917
- | 4.5497 | 58900 | 3.5604 |
918
- | 4.5574 | 59000 | 3.6545 |
919
- | 4.5651 | 59100 | 3.5184 |
920
- | 4.5728 | 59200 | 3.5701 |
921
- | 4.5806 | 59300 | 3.5326 |
922
- | 4.5883 | 59400 | 3.5853 |
923
- | 4.5960 | 59500 | 3.5779 |
924
- | 4.6037 | 59600 | 3.5325 |
925
- | 4.6115 | 59700 | 3.5257 |
926
- | 4.6192 | 59800 | 3.5705 |
927
- | 4.6269 | 59900 | 3.5037 |
928
- | 4.6346 | 60000 | 3.5824 |
929
- | 4.6424 | 60100 | 3.5474 |
930
- | 4.6501 | 60200 | 3.6237 |
931
- | 4.6578 | 60300 | 3.5426 |
932
- | 4.6655 | 60400 | 3.5276 |
933
- | 4.6733 | 60500 | 3.5681 |
934
- | 4.6810 | 60600 | 3.5633 |
935
- | 4.6887 | 60700 | 3.5537 |
936
- | 4.6964 | 60800 | 3.6371 |
937
- | 4.7042 | 60900 | 3.5319 |
938
- | 4.7119 | 61000 | 3.595 |
939
- | 4.7196 | 61100 | 3.6041 |
940
- | 4.7273 | 61200 | 3.5813 |
941
- | 4.7351 | 61300 | 3.6182 |
942
- | 4.7428 | 61400 | 3.4867 |
943
- | 4.7505 | 61500 | 3.5809 |
944
- | 4.7582 | 61600 | 3.5502 |
945
- | 4.7660 | 61700 | 3.587 |
946
- | 4.7737 | 61800 | 3.6642 |
947
- | 4.7814 | 61900 | 3.5558 |
948
- | 4.7891 | 62000 | 3.6016 |
949
- | 4.7968 | 62100 | 3.6195 |
950
- | 4.8046 | 62200 | 3.6058 |
951
- | 4.8123 | 62300 | 3.5651 |
952
- | 4.8200 | 62400 | 3.6315 |
953
- | 4.8277 | 62500 | 3.6014 |
954
- | 4.8355 | 62600 | 3.5607 |
955
- | 4.8432 | 62700 | 3.5842 |
956
- | 4.8509 | 62800 | 3.6358 |
957
- | 4.8586 | 62900 | 3.5416 |
958
- | 4.8664 | 63000 | 3.589 |
959
- | 4.8741 | 63100 | 3.6284 |
960
- | 4.8818 | 63200 | 3.6548 |
961
- | 4.8895 | 63300 | 3.6196 |
962
- | 4.8973 | 63400 | 3.5262 |
963
- | 4.9050 | 63500 | 3.5628 |
964
- | 4.9127 | 63600 | 3.5908 |
965
- | 4.9204 | 63700 | 3.5904 |
966
- | 4.9282 | 63800 | 3.465 |
967
- | 4.9359 | 63900 | 3.5462 |
968
- | 4.9436 | 64000 | 3.5941 |
969
- | 4.9513 | 64100 | 3.533 |
970
- | 4.9591 | 64200 | 3.5616 |
971
- | 4.9668 | 64300 | 3.5611 |
972
- | 4.9745 | 64400 | 3.5855 |
973
- | 4.9822 | 64500 | 3.564 |
974
- | 4.9900 | 64600 | 3.5492 |
975
- | 4.9977 | 64700 | 3.5962 |
976
- | 5.0 | 64730 | - |
977
- | 5.0054 | 64800 | 3.6 |
978
- | 5.0131 | 64900 | 3.5732 |
979
- | 5.0209 | 65000 | 3.58 |
980
- | 5.0286 | 65100 | 3.5575 |
981
- | 5.0363 | 65200 | 3.539 |
982
- | 5.0440 | 65300 | 3.6133 |
983
- | 5.0518 | 65400 | 3.5455 |
984
- | 5.0595 | 65500 | 3.5785 |
985
- | 5.0672 | 65600 | 3.5327 |
986
- | 5.0749 | 65700 | 3.5178 |
987
- | 5.0827 | 65800 | 3.596 |
988
- | 5.0904 | 65900 | 3.5061 |
989
- | 5.0981 | 66000 | 3.529 |
990
- | 5.1058 | 66100 | 3.574 |
991
- | 5.1135 | 66200 | 3.5834 |
992
- | 5.1213 | 66300 | 3.5305 |
993
- | 5.1290 | 66400 | 3.5732 |
994
- | 5.1367 | 66500 | 3.5264 |
995
- | 5.1444 | 66600 | 3.5814 |
996
- | 5.1522 | 66700 | 3.5624 |
997
- | 5.1599 | 66800 | 3.6005 |
998
- | 5.1676 | 66900 | 3.5552 |
999
- | 5.1753 | 67000 | 3.6337 |
1000
- | 5.1831 | 67100 | 3.5887 |
1001
- | 5.1908 | 67200 | 3.6187 |
1002
- | 5.1985 | 67300 | 3.5848 |
1003
- | 5.2062 | 67400 | 3.6265 |
1004
- | 5.2140 | 67500 | 3.4996 |
1005
- | 5.2217 | 67600 | 3.5364 |
1006
- | 5.2294 | 67700 | 3.5231 |
1007
- | 5.2371 | 67800 | 3.5737 |
1008
- | 5.2449 | 67900 | 3.555 |
1009
- | 5.2526 | 68000 | 3.6009 |
1010
- | 5.2603 | 68100 | 3.6319 |
1011
- | 5.2680 | 68200 | 3.5326 |
1012
- | 5.2758 | 68300 | 3.5836 |
1013
- | 5.2835 | 68400 | 3.532 |
1014
- | 5.2912 | 68500 | 3.6527 |
1015
- | 5.2989 | 68600 | 3.5875 |
1016
- | 5.3067 | 68700 | 3.6051 |
1017
- | 5.3144 | 68800 | 3.6242 |
1018
- | 5.3221 | 68900 | 3.6027 |
1019
- | 5.3298 | 69000 | 3.5581 |
1020
- | 5.3376 | 69100 | 3.6552 |
1021
- | 5.3453 | 69200 | 3.582 |
1022
- | 5.3530 | 69300 | 3.5467 |
1023
- | 5.3607 | 69400 | 3.5864 |
1024
- | 5.3685 | 69500 | 3.5881 |
1025
- | 5.3762 | 69600 | 3.6014 |
1026
- | 5.3839 | 69700 | 3.5559 |
1027
- | 5.3916 | 69800 | 3.5263 |
1028
- | 5.3994 | 69900 | 3.608 |
1029
- | 5.4071 | 70000 | 3.5951 |
1030
- | 5.4148 | 70100 | 3.5871 |
1031
- | 5.4225 | 70200 | 3.5642 |
1032
- | 5.4302 | 70300 | 3.6349 |
1033
- | 5.4380 | 70400 | 3.5389 |
1034
- | 5.4457 | 70500 | 3.5653 |
1035
- | 5.4534 | 70600 | 3.5484 |
1036
- | 5.4611 | 70700 | 3.4994 |
1037
- | 5.4689 | 70800 | 3.5436 |
1038
- | 5.4766 | 70900 | 3.5602 |
1039
- | 5.4843 | 71000 | 3.5965 |
1040
- | 5.4920 | 71100 | 3.545 |
1041
- | 5.4998 | 71200 | 3.6109 |
1042
- | 5.5075 | 71300 | 3.6022 |
1043
- | 5.5152 | 71400 | 3.5536 |
1044
- | 5.5229 | 71500 | 3.6007 |
1045
- | 5.5307 | 71600 | 3.5169 |
1046
- | 5.5384 | 71700 | 3.5321 |
1047
- | 5.5461 | 71800 | 3.5673 |
1048
- | 5.5538 | 71900 | 3.5333 |
1049
- | 5.5616 | 72000 | 3.5473 |
1050
- | 5.5693 | 72100 | 3.5231 |
1051
- | 5.5770 | 72200 | 3.5349 |
1052
- | 5.5847 | 72300 | 3.5344 |
1053
- | 5.5925 | 72400 | 3.5842 |
1054
- | 5.6002 | 72500 | 3.547 |
1055
- | 5.6079 | 72600 | 3.5192 |
1056
- | 5.6156 | 72700 | 3.5959 |
1057
- | 5.6234 | 72800 | 3.5267 |
1058
- | 5.6311 | 72900 | 3.564 |
1059
- | 5.6388 | 73000 | 3.5558 |
1060
- | 5.6465 | 73100 | 3.4982 |
1061
- | 5.6543 | 73200 | 3.5688 |
1062
- | 5.6620 | 73300 | 3.5888 |
1063
- | 5.6697 | 73400 | 3.5306 |
1064
- | 5.6774 | 73500 | 3.6029 |
1065
- | 5.6852 | 73600 | 3.5912 |
1066
- | 5.6929 | 73700 | 3.4638 |
1067
- | 5.7006 | 73800 | 3.6581 |
1068
- | 5.7083 | 73900 | 3.5281 |
1069
- | 5.7161 | 74000 | 3.5718 |
1070
- | 5.7238 | 74100 | 3.6627 |
1071
- | 5.7315 | 74200 | 3.5567 |
1072
- | 5.7392 | 74300 | 3.6252 |
1073
- | 5.7469 | 74400 | 3.5895 |
1074
- | 5.7547 | 74500 | 3.5305 |
1075
- | 5.7624 | 74600 | 3.5747 |
1076
- | 5.7701 | 74700 | 3.5803 |
1077
- | 5.7778 | 74800 | 3.5624 |
1078
- | 5.7856 | 74900 | 3.5675 |
1079
- | 5.7933 | 75000 | 3.5036 |
1080
- | 5.8010 | 75100 | 3.543 |
1081
- | 5.8087 | 75200 | 3.5818 |
1082
- | 5.8165 | 75300 | 3.5355 |
1083
- | 5.8242 | 75400 | 3.6583 |
1084
- | 5.8319 | 75500 | 3.5694 |
1085
- | 5.8396 | 75600 | 3.5175 |
1086
- | 5.8474 | 75700 | 3.5812 |
1087
- | 5.8551 | 75800 | 3.5877 |
1088
- | 5.8628 | 75900 | 3.553 |
1089
- | 5.8705 | 76000 | 3.5981 |
1090
- | 5.8783 | 76100 | 3.5747 |
1091
- | 5.8860 | 76200 | 3.5469 |
1092
- | 5.8937 | 76300 | 3.5701 |
1093
- | 5.9014 | 76400 | 3.5776 |
1094
- | 5.9092 | 76500 | 3.5699 |
1095
- | 5.9169 | 76600 | 3.5803 |
1096
- | 5.9246 | 76700 | 3.6343 |
1097
- | 5.9323 | 76800 | 3.5711 |
1098
- | 5.9401 | 76900 | 3.4578 |
1099
- | 5.9478 | 77000 | 3.5494 |
1100
- | 5.9555 | 77100 | 3.6247 |
1101
- | 5.9632 | 77200 | 3.6089 |
1102
- | 5.9710 | 77300 | 3.5784 |
1103
- | 5.9787 | 77400 | 3.6039 |
1104
- | 5.9864 | 77500 | 3.5489 |
1105
- | 5.9941 | 77600 | 3.599 |
1106
- | 6.0 | 77676 | - |
1107
- | 6.0019 | 77700 | 3.5749 |
1108
- | 6.0096 | 77800 | 3.6291 |
1109
- | 6.0173 | 77900 | 3.5352 |
1110
- | 6.0250 | 78000 | 3.5792 |
1111
- | 6.0328 | 78100 | 3.5634 |
1112
- | 6.0405 | 78200 | 3.6688 |
1113
- | 6.0482 | 78300 | 3.5931 |
1114
- | 6.0559 | 78400 | 3.5747 |
1115
- | 6.0636 | 78500 | 3.5496 |
1116
- | 6.0714 | 78600 | 3.6033 |
1117
- | 6.0791 | 78700 | 3.547 |
1118
- | 6.0868 | 78800 | 3.6 |
1119
- | 6.0945 | 78900 | 3.585 |
1120
- | 6.1023 | 79000 | 3.5342 |
1121
- | 6.1100 | 79100 | 3.5318 |
1122
- | 6.1177 | 79200 | 3.6161 |
1123
- | 6.1254 | 79300 | 3.6281 |
1124
- | 6.1332 | 79400 | 3.5966 |
1125
- | 6.1409 | 79500 | 3.5425 |
1126
- | 6.1486 | 79600 | 3.5749 |
1127
- | 6.1563 | 79700 | 3.5161 |
1128
- | 6.1641 | 79800 | 3.5676 |
1129
- | 6.1718 | 79900 | 3.4982 |
1130
- | 6.1795 | 80000 | 3.5371 |
1131
- | 6.1872 | 80100 | 3.5988 |
1132
- | 6.1950 | 80200 | 3.5774 |
1133
- | 6.2027 | 80300 | 3.5693 |
1134
- | 6.2104 | 80400 | 3.6693 |
1135
- | 6.2181 | 80500 | 3.5836 |
1136
- | 6.2259 | 80600 | 3.563 |
1137
- | 6.2336 | 80700 | 3.5738 |
1138
- | 6.2413 | 80800 | 3.5334 |
1139
- | 6.2490 | 80900 | 3.5563 |
1140
- | 6.2568 | 81000 | 3.5627 |
1141
- | 6.2645 | 81100 | 3.6318 |
1142
- | 6.2722 | 81200 | 3.5134 |
1143
- | 6.2799 | 81300 | 3.5576 |
1144
- | 6.2877 | 81400 | 3.4738 |
1145
- | 6.2954 | 81500 | 3.5917 |
1146
- | 6.3031 | 81600 | 3.6035 |
1147
- | 6.3108 | 81700 | 3.5532 |
1148
- | 6.3186 | 81800 | 3.511 |
1149
- | 6.3263 | 81900 | 3.6258 |
1150
- | 6.3340 | 82000 | 3.6249 |
1151
- | 6.3417 | 82100 | 3.5882 |
1152
- | 6.3495 | 82200 | 3.5695 |
1153
- | 6.3572 | 82300 | 3.6258 |
1154
- | 6.3649 | 82400 | 3.5056 |
1155
- | 6.3726 | 82500 | 3.6583 |
1156
- | 6.3803 | 82600 | 3.5679 |
1157
- | 6.3881 | 82700 | 3.5265 |
1158
- | 6.3958 | 82800 | 3.6324 |
1159
- | 6.4035 | 82900 | 3.5068 |
1160
- | 6.4112 | 83000 | 3.5669 |
1161
- | 6.4190 | 83100 | 3.6119 |
1162
- | 6.4267 | 83200 | 3.5873 |
1163
- | 6.4344 | 83300 | 3.604 |
1164
- | 6.4421 | 83400 | 3.5581 |
1165
- | 6.4499 | 83500 | 3.6205 |
1166
- | 6.4576 | 83600 | 3.5556 |
1167
- | 6.4653 | 83700 | 3.5283 |
1168
- | 6.4730 | 83800 | 3.5559 |
1169
- | 6.4808 | 83900 | 3.5482 |
1170
- | 6.4885 | 84000 | 3.6079 |
1171
- | 6.4962 | 84100 | 3.5762 |
1172
- | 6.5039 | 84200 | 3.5181 |
1173
- | 6.5117 | 84300 | 3.649 |
1174
- | 6.5194 | 84400 | 3.5575 |
1175
- | 6.5271 | 84500 | 3.5785 |
1176
- | 6.5348 | 84600 | 3.5318 |
1177
- | 6.5426 | 84700 | 3.5016 |
1178
- | 6.5503 | 84800 | 3.552 |
1179
- | 6.5580 | 84900 | 3.6086 |
1180
- | 6.5657 | 85000 | 3.535 |
1181
- | 6.5735 | 85100 | 3.5552 |
1182
- | 6.5812 | 85200 | 3.567 |
1183
- | 6.5889 | 85300 | 3.5454 |
1184
- | 6.5966 | 85400 | 3.6012 |
1185
- | 6.6044 | 85500 | 3.626 |
1186
- | 6.6121 | 85600 | 3.5381 |
1187
- | 6.6198 | 85700 | 3.613 |
1188
- | 6.6275 | 85800 | 3.6178 |
1189
- | 6.6353 | 85900 | 3.4871 |
1190
- | 6.6430 | 86000 | 3.5689 |
1191
- | 6.6507 | 86100 | 3.5123 |
1192
- | 6.6584 | 86200 | 3.5702 |
1193
- | 6.6662 | 86300 | 3.545 |
1194
- | 6.6739 | 86400 | 3.5592 |
1195
- | 6.6816 | 86500 | 3.5938 |
1196
- | 6.6893 | 86600 | 3.5182 |
1197
- | 6.6970 | 86700 | 3.5748 |
1198
- | 6.7048 | 86800 | 3.5845 |
1199
- | 6.7125 | 86900 | 3.5532 |
1200
- | 6.7202 | 87000 | 3.555 |
1201
- | 6.7279 | 87100 | 3.526 |
1202
- | 6.7357 | 87200 | 3.5788 |
1203
- | 6.7434 | 87300 | 3.6399 |
1204
- | 6.7511 | 87400 | 3.6043 |
1205
- | 6.7588 | 87500 | 3.5552 |
1206
- | 6.7666 | 87600 | 3.5933 |
1207
- | 6.7743 | 87700 | 3.5264 |
1208
- | 6.7820 | 87800 | 3.5977 |
1209
- | 6.7897 | 87900 | 3.5955 |
1210
- | 6.7975 | 88000 | 3.5836 |
1211
- | 6.8052 | 88100 | 3.5809 |
1212
- | 6.8129 | 88200 | 3.5769 |
1213
- | 6.8206 | 88300 | 3.5817 |
1214
- | 6.8284 | 88400 | 3.5671 |
1215
- | 6.8361 | 88500 | 3.5038 |
1216
- | 6.8438 | 88600 | 3.6053 |
1217
- | 6.8515 | 88700 | 3.5688 |
1218
- | 6.8593 | 88800 | 3.5702 |
1219
- | 6.8670 | 88900 | 3.5403 |
1220
- | 6.8747 | 89000 | 3.5881 |
1221
- | 6.8824 | 89100 | 3.5979 |
1222
- | 6.8902 | 89200 | 3.5471 |
1223
- | 6.8979 | 89300 | 3.6459 |
1224
- | 6.9056 | 89400 | 3.4989 |
1225
- | 6.9133 | 89500 | 3.5155 |
1226
- | 6.9211 | 89600 | 3.5071 |
1227
- | 6.9288 | 89700 | 3.5497 |
1228
- | 6.9365 | 89800 | 3.5597 |
1229
- | 6.9442 | 89900 | 3.5699 |
1230
- | 6.9520 | 90000 | 3.5338 |
1231
- | 6.9597 | 90100 | 3.6545 |
1232
- | 6.9674 | 90200 | 3.5855 |
1233
- | 6.9751 | 90300 | 3.5965 |
1234
- | 6.9829 | 90400 | 3.4925 |
1235
- | 6.9906 | 90500 | 3.4906 |
1236
- | 6.9983 | 90600 | 3.4989 |
1237
- | 7.0 | 90622 | - |
1238
- | 7.0060 | 90700 | 3.5088 |
1239
- | 7.0137 | 90800 | 3.5534 |
1240
- | 7.0215 | 90900 | 3.5651 |
1241
- | 7.0292 | 91000 | 3.5625 |
1242
- | 7.0369 | 91100 | 3.6184 |
1243
- | 7.0446 | 91200 | 3.5775 |
1244
- | 7.0524 | 91300 | 3.6276 |
1245
- | 7.0601 | 91400 | 3.6014 |
1246
- | 7.0678 | 91500 | 3.5633 |
1247
- | 7.0755 | 91600 | 3.5745 |
1248
- | 7.0833 | 91700 | 3.5475 |
1249
- | 7.0910 | 91800 | 3.5259 |
1250
- | 7.0987 | 91900 | 3.62 |
1251
- | 7.1064 | 92000 | 3.4788 |
1252
- | 7.1142 | 92100 | 3.6074 |
1253
- | 7.1219 | 92200 | 3.5754 |
1254
- | 7.1296 | 92300 | 3.5663 |
1255
- | 7.1373 | 92400 | 3.6712 |
1256
- | 7.1451 | 92500 | 3.5545 |
1257
- | 7.1528 | 92600 | 3.5414 |
1258
- | 7.1605 | 92700 | 3.5747 |
1259
- | 7.1682 | 92800 | 3.5833 |
1260
- | 7.1760 | 92900 | 3.5288 |
1261
- | 7.1837 | 93000 | 3.5036 |
1262
- | 7.1914 | 93100 | 3.5741 |
1263
- | 7.1991 | 93200 | 3.5475 |
1264
- | 7.2069 | 93300 | 3.5761 |
1265
- | 7.2146 | 93400 | 3.5747 |
1266
- | 7.2223 | 93500 | 3.605 |
1267
- | 7.2300 | 93600 | 3.6304 |
1268
- | 7.2378 | 93700 | 3.5715 |
1269
- | 7.2455 | 93800 | 3.5437 |
1270
- | 7.2532 | 93900 | 3.5902 |
1271
- | 7.2609 | 94000 | 3.5903 |
1272
- | 7.2687 | 94100 | 3.6003 |
1273
- | 7.2764 | 94200 | 3.5907 |
1274
- | 7.2841 | 94300 | 3.6081 |
1275
- | 7.2918 | 94400 | 3.557 |
1276
- | 7.2996 | 94500 | 3.518 |
1277
- | 7.3073 | 94600 | 3.53 |
1278
- | 7.3150 | 94700 | 3.6208 |
1279
- | 7.3227 | 94800 | 3.5272 |
1280
- | 7.3304 | 94900 | 3.6043 |
1281
- | 7.3382 | 95000 | 3.5509 |
1282
- | 7.3459 | 95100 | 3.5207 |
1283
- | 7.3536 | 95200 | 3.5672 |
1284
- | 7.3613 | 95300 | 3.5473 |
1285
- | 7.3691 | 95400 | 3.563 |
1286
- | 7.3768 | 95500 | 3.546 |
1287
- | 7.3845 | 95600 | 3.5267 |
1288
- | 7.3922 | 95700 | 3.6104 |
1289
- | 7.4000 | 95800 | 3.6281 |
1290
- | 7.4077 | 95900 | 3.5319 |
1291
- | 7.4154 | 96000 | 3.542 |
1292
- | 7.4231 | 96100 | 3.6156 |
1293
- | 7.4309 | 96200 | 3.5497 |
1294
- | 7.4386 | 96300 | 3.5937 |
1295
- | 7.4463 | 96400 | 3.5305 |
1296
- | 7.4540 | 96500 | 3.5817 |
1297
- | 7.4618 | 96600 | 3.585 |
1298
- | 7.4695 | 96700 | 3.5224 |
1299
- | 7.4772 | 96800 | 3.4943 |
1300
- | 7.4849 | 96900 | 3.6074 |
1301
- | 7.4927 | 97000 | 3.5525 |
1302
- | 7.5004 | 97100 | 3.4805 |
1303
- | 7.5081 | 97200 | 3.5752 |
1304
- | 7.5158 | 97300 | 3.5226 |
1305
- | 7.5236 | 97400 | 3.6341 |
1306
- | 7.5313 | 97500 | 3.5572 |
1307
- | 7.5390 | 97600 | 3.4738 |
1308
- | 7.5467 | 97700 | 3.5147 |
1309
- | 7.5545 | 97800 | 3.497 |
1310
- | 7.5622 | 97900 | 3.6335 |
1311
- | 7.5699 | 98000 | 3.6071 |
1312
- | 7.5776 | 98100 | 3.6028 |
1313
- | 7.5854 | 98200 | 3.5391 |
1314
- | 7.5931 | 98300 | 3.5055 |
1315
- | 7.6008 | 98400 | 3.5914 |
1316
- | 7.6085 | 98500 | 3.5495 |
1317
- | 7.6163 | 98600 | 3.5862 |
1318
- | 7.6240 | 98700 | 3.5574 |
1319
- | 7.6317 | 98800 | 3.5495 |
1320
- | 7.6394 | 98900 | 3.4793 |
1321
- | 7.6471 | 99000 | 3.5794 |
1322
- | 7.6549 | 99100 | 3.5252 |
1323
- | 7.6626 | 99200 | 3.5643 |
1324
- | 7.6703 | 99300 | 3.5654 |
1325
- | 7.6780 | 99400 | 3.5211 |
1326
- | 7.6858 | 99500 | 3.5745 |
1327
- | 7.6935 | 99600 | 3.5173 |
1328
- | 7.7012 | 99700 | 3.5547 |
1329
- | 7.7089 | 99800 | 3.5822 |
1330
- | 7.7167 | 99900 | 3.5805 |
1331
- | 7.7244 | 100000 | 3.5914 |
1332
- | 7.7321 | 100100 | 3.5405 |
1333
- | 7.7398 | 100200 | 3.5911 |
1334
- | 7.7476 | 100300 | 3.505 |
1335
- | 7.7553 | 100400 | 3.5082 |
1336
- | 7.7630 | 100500 | 3.5239 |
1337
- | 7.7707 | 100600 | 3.5434 |
1338
- | 7.7785 | 100700 | 3.617 |
1339
- | 7.7862 | 100800 | 3.5752 |
1340
- | 7.7939 | 100900 | 3.5354 |
1341
- | 7.8016 | 101000 | 3.6349 |
1342
- | 7.8094 | 101100 | 3.5262 |
1343
- | 7.8171 | 101200 | 3.5888 |
1344
- | 7.8248 | 101300 | 3.6494 |
1345
- | 7.8325 | 101400 | 3.5713 |
1346
- | 7.8403 | 101500 | 3.4964 |
1347
- | 7.8480 | 101600 | 3.5527 |
1348
- | 7.8557 | 101700 | 3.5171 |
1349
- | 7.8634 | 101800 | 3.5282 |
1350
- | 7.8712 | 101900 | 3.6184 |
1351
- | 7.8789 | 102000 | 3.5619 |
1352
- | 7.8866 | 102100 | 3.5511 |
1353
- | 7.8943 | 102200 | 3.5678 |
1354
- | 7.9021 | 102300 | 3.6199 |
1355
- | 7.9098 | 102400 | 3.6236 |
1356
- | 7.9175 | 102500 | 3.6352 |
1357
- | 7.9252 | 102600 | 3.5636 |
1358
- | 7.9330 | 102700 | 3.5376 |
1359
- | 7.9407 | 102800 | 3.523 |
1360
- | 7.9484 | 102900 | 3.571 |
1361
- | 7.9561 | 103000 | 3.5827 |
1362
- | 7.9638 | 103100 | 3.5902 |
1363
- | 7.9716 | 103200 | 3.5697 |
1364
- | 7.9793 | 103300 | 3.5945 |
1365
- | 7.9870 | 103400 | 3.5112 |
1366
- | 7.9947 | 103500 | 3.5166 |
1367
- | 8.0 | 103568 | - |
1368
- | 8.0025 | 103600 | 3.5336 |
1369
- | 8.0102 | 103700 | 3.5099 |
1370
- | 8.0179 | 103800 | 3.6205 |
1371
- | 8.0256 | 103900 | 3.585 |
1372
- | 8.0334 | 104000 | 3.5917 |
1373
- | 8.0411 | 104100 | 3.6217 |
1374
- | 8.0488 | 104200 | 3.5836 |
1375
- | 8.0565 | 104300 | 3.5957 |
1376
- | 8.0643 | 104400 | 3.5954 |
1377
- | 8.0720 | 104500 | 3.6093 |
1378
- | 8.0797 | 104600 | 3.5077 |
1379
- | 8.0874 | 104700 | 3.5992 |
1380
- | 8.0952 | 104800 | 3.4937 |
1381
- | 8.1029 | 104900 | 3.5773 |
1382
- | 8.1106 | 105000 | 3.4919 |
1383
- | 8.1183 | 105100 | 3.6044 |
1384
- | 8.1261 | 105200 | 3.6254 |
1385
- | 8.1338 | 105300 | 3.5467 |
1386
- | 8.1415 | 105400 | 3.56 |
1387
- | 8.1492 | 105500 | 3.4964 |
1388
- | 8.1570 | 105600 | 3.571 |
1389
- | 8.1647 | 105700 | 3.5262 |
1390
- | 8.1724 | 105800 | 3.5674 |
1391
- | 8.1801 | 105900 | 3.514 |
1392
- | 8.1879 | 106000 | 3.5334 |
1393
- | 8.1956 | 106100 | 3.5309 |
1394
- | 8.2033 | 106200 | 3.5433 |
1395
- | 8.2110 | 106300 | 3.5757 |
1396
- | 8.2188 | 106400 | 3.5983 |
1397
- | 8.2265 | 106500 | 3.5624 |
1398
- | 8.2342 | 106600 | 3.5025 |
1399
- | 8.2419 | 106700 | 3.5801 |
1400
- | 8.2497 | 106800 | 3.576 |
1401
- | 8.2574 | 106900 | 3.5255 |
1402
- | 8.2651 | 107000 | 3.6273 |
1403
- | 8.2728 | 107100 | 3.5682 |
1404
- | 8.2805 | 107200 | 3.5756 |
1405
- | 8.2883 | 107300 | 3.5539 |
1406
- | 8.2960 | 107400 | 3.6322 |
1407
- | 8.3037 | 107500 | 3.5054 |
1408
- | 8.3114 | 107600 | 3.5978 |
1409
- | 8.3192 | 107700 | 3.5679 |
1410
- | 8.3269 | 107800 | 3.5339 |
1411
- | 8.3346 | 107900 | 3.5653 |
1412
- | 8.3423 | 108000 | 3.525 |
1413
- | 8.3501 | 108100 | 3.5203 |
1414
- | 8.3578 | 108200 | 3.5375 |
1415
- | 8.3655 | 108300 | 3.4789 |
1416
- | 8.3732 | 108400 | 3.5482 |
1417
- | 8.3810 | 108500 | 3.5781 |
1418
- | 8.3887 | 108600 | 3.5599 |
1419
- | 8.3964 | 108700 | 3.5714 |
1420
- | 8.4041 | 108800 | 3.6163 |
1421
- | 8.4119 | 108900 | 3.5684 |
1422
- | 8.4196 | 109000 | 3.5402 |
1423
- | 8.4273 | 109100 | 3.611 |
1424
- | 8.4350 | 109200 | 3.5015 |
1425
- | 8.4428 | 109300 | 3.558 |
1426
- | 8.4505 | 109400 | 3.5434 |
1427
- | 8.4582 | 109500 | 3.5641 |
1428
- | 8.4659 | 109600 | 3.6028 |
1429
- | 8.4737 | 109700 | 3.5254 |
1430
- | 8.4814 | 109800 | 3.5846 |
1431
- | 8.4891 | 109900 | 3.525 |
1432
- | 8.4968 | 110000 | 3.555 |
1433
- | 8.5046 | 110100 | 3.575 |
1434
- | 8.5123 | 110200 | 3.5116 |
1435
- | 8.5200 | 110300 | 3.5618 |
1436
- | 8.5277 | 110400 | 3.5965 |
1437
- | 8.5355 | 110500 | 3.5856 |
1438
- | 8.5432 | 110600 | 3.6149 |
1439
- | 8.5509 | 110700 | 3.5252 |
1440
- | 8.5586 | 110800 | 3.5874 |
1441
- | 8.5664 | 110900 | 3.5764 |
1442
- | 8.5741 | 111000 | 3.4691 |
1443
- | 8.5818 | 111100 | 3.5404 |
1444
- | 8.5895 | 111200 | 3.4862 |
1445
- | 8.5973 | 111300 | 3.5059 |
1446
- | 8.6050 | 111400 | 3.5683 |
1447
- | 8.6127 | 111500 | 3.5832 |
1448
- | 8.6204 | 111600 | 3.5556 |
1449
- | 8.6281 | 111700 | 3.5356 |
1450
- | 8.6359 | 111800 | 3.5818 |
1451
- | 8.6436 | 111900 | 3.5773 |
1452
- | 8.6513 | 112000 | 3.5147 |
1453
- | 8.6590 | 112100 | 3.5434 |
1454
- | 8.6668 | 112200 | 3.5987 |
1455
- | 8.6745 | 112300 | 3.5301 |
1456
- | 8.6822 | 112400 | 3.52 |
1457
- | 8.6899 | 112500 | 3.5344 |
1458
- | 8.6977 | 112600 | 3.5097 |
1459
- | 8.7054 | 112700 | 3.5624 |
1460
- | 8.7131 | 112800 | 3.5687 |
1461
- | 8.7208 | 112900 | 3.578 |
1462
- | 8.7286 | 113000 | 3.5686 |
1463
- | 8.7363 | 113100 | 3.5652 |
1464
- | 8.7440 | 113200 | 3.4779 |
1465
- | 8.7517 | 113300 | 3.5267 |
1466
- | 8.7595 | 113400 | 3.5998 |
1467
- | 8.7672 | 113500 | 3.6133 |
1468
- | 8.7749 | 113600 | 3.5117 |
1469
- | 8.7826 | 113700 | 3.5831 |
1470
- | 8.7904 | 113800 | 3.5942 |
1471
- | 8.7981 | 113900 | 3.5676 |
1472
- | 8.8058 | 114000 | 3.5774 |
1473
- | 8.8135 | 114100 | 3.5826 |
1474
- | 8.8213 | 114200 | 3.5104 |
1475
- | 8.8290 | 114300 | 3.5837 |
1476
- | 8.8367 | 114400 | 3.5164 |
1477
- | 8.8444 | 114500 | 3.5797 |
1478
- | 8.8522 | 114600 | 3.5548 |
1479
- | 8.8599 | 114700 | 3.5446 |
1480
- | 8.8676 | 114800 | 3.6251 |
1481
- | 8.8753 | 114900 | 3.534 |
1482
- | 8.8831 | 115000 | 3.5566 |
1483
- | 8.8908 | 115100 | 3.5606 |
1484
- | 8.8985 | 115200 | 3.6285 |
1485
- | 8.9062 | 115300 | 3.5134 |
1486
- | 8.9140 | 115400 | 3.5133 |
1487
- | 8.9217 | 115500 | 3.5392 |
1488
- | 8.9294 | 115600 | 3.6146 |
1489
- | 8.9371 | 115700 | 3.6073 |
1490
- | 8.9448 | 115800 | 3.6348 |
1491
- | 8.9526 | 115900 | 3.5017 |
1492
- | 8.9603 | 116000 | 3.5393 |
1493
- | 8.9680 | 116100 | 3.5289 |
1494
- | 8.9757 | 116200 | 3.574 |
1495
- | 8.9835 | 116300 | 3.6075 |
1496
- | 8.9912 | 116400 | 3.5764 |
1497
- | 8.9989 | 116500 | 3.5556 |
1498
- | 9.0 | 116514 | - |
1499
- | 9.0066 | 116600 | 3.5693 |
1500
- | 9.0144 | 116700 | 3.5447 |
1501
- | 9.0221 | 116800 | 3.547 |
1502
- | 9.0298 | 116900 | 3.5535 |
1503
- | 9.0375 | 117000 | 3.6399 |
1504
- | 9.0453 | 117100 | 3.6004 |
1505
- | 9.0530 | 117200 | 3.5478 |
1506
- | 9.0607 | 117300 | 3.5591 |
1507
- | 9.0684 | 117400 | 3.5547 |
1508
- | 9.0762 | 117500 | 3.5562 |
1509
- | 9.0839 | 117600 | 3.5528 |
1510
- | 9.0916 | 117700 | 3.4959 |
1511
- | 9.0993 | 117800 | 3.6083 |
1512
- | 9.1071 | 117900 | 3.5458 |
1513
- | 9.1148 | 118000 | 3.5683 |
1514
- | 9.1225 | 118100 | 3.5616 |
1515
- | 9.1302 | 118200 | 3.5477 |
1516
- | 9.1380 | 118300 | 3.6412 |
1517
- | 9.1457 | 118400 | 3.606 |
1518
- | 9.1534 | 118500 | 3.5239 |
1519
- | 9.1611 | 118600 | 3.648 |
1520
- | 9.1689 | 118700 | 3.5421 |
1521
- | 9.1766 | 118800 | 3.5405 |
1522
- | 9.1843 | 118900 | 3.5311 |
1523
- | 9.1920 | 119000 | 3.459 |
1524
- | 9.1998 | 119100 | 3.5588 |
1525
- | 9.2075 | 119200 | 3.5825 |
1526
- | 9.2152 | 119300 | 3.6303 |
1527
- | 9.2229 | 119400 | 3.5738 |
1528
- | 9.2307 | 119500 | 3.5932 |
1529
- | 9.2384 | 119600 | 3.5872 |
1530
- | 9.2461 | 119700 | 3.5188 |
1531
- | 9.2538 | 119800 | 3.5609 |
1532
- | 9.2615 | 119900 | 3.5675 |
1533
- | 9.2693 | 120000 | 3.5693 |
1534
- | 9.2770 | 120100 | 3.556 |
1535
- | 9.2847 | 120200 | 3.5249 |
1536
- | 9.2924 | 120300 | 3.5187 |
1537
- | 9.3002 | 120400 | 3.5571 |
1538
- | 9.3079 | 120500 | 3.5878 |
1539
- | 9.3156 | 120600 | 3.5475 |
1540
- | 9.3233 | 120700 | 3.5304 |
1541
- | 9.3311 | 120800 | 3.6067 |
1542
- | 9.3388 | 120900 | 3.5687 |
1543
- | 9.3465 | 121000 | 3.5218 |
1544
- | 9.3542 | 121100 | 3.5415 |
1545
- | 9.3620 | 121200 | 3.5858 |
1546
- | 9.3697 | 121300 | 3.5889 |
1547
- | 9.3774 | 121400 | 3.5353 |
1548
- | 9.3851 | 121500 | 3.5139 |
1549
- | 9.3929 | 121600 | 3.5563 |
1550
- | 9.4006 | 121700 | 3.5495 |
1551
- | 9.4083 | 121800 | 3.5183 |
1552
- | 9.4160 | 121900 | 3.5616 |
1553
- | 9.4238 | 122000 | 3.5899 |
1554
- | 9.4315 | 122100 | 3.4909 |
1555
- | 9.4392 | 122200 | 3.4792 |
1556
- | 9.4469 | 122300 | 3.5381 |
1557
- | 9.4547 | 122400 | 3.5691 |
1558
- | 9.4624 | 122500 | 3.5973 |
1559
- | 9.4701 | 122600 | 3.5872 |
1560
- | 9.4778 | 122700 | 3.5349 |
1561
- | 9.4856 | 122800 | 3.633 |
1562
- | 9.4933 | 122900 | 3.6541 |
1563
- | 9.5010 | 123000 | 3.6684 |
1564
- | 9.5087 | 123100 | 3.5934 |
1565
- | 9.5165 | 123200 | 3.6043 |
1566
- | 9.5242 | 123300 | 3.571 |
1567
- | 9.5319 | 123400 | 3.5358 |
1568
- | 9.5396 | 123500 | 3.4944 |
1569
- | 9.5474 | 123600 | 3.6011 |
1570
- | 9.5551 | 123700 | 3.5297 |
1571
- | 9.5628 | 123800 | 3.4829 |
1572
- | 9.5705 | 123900 | 3.4581 |
1573
- | 9.5782 | 124000 | 3.536 |
1574
- | 9.5860 | 124100 | 3.5505 |
1575
- | 9.5937 | 124200 | 3.5778 |
1576
- | 9.6014 | 124300 | 3.5596 |
1577
- | 9.6091 | 124400 | 3.5727 |
1578
- | 9.6169 | 124500 | 3.5224 |
1579
- | 9.6246 | 124600 | 3.6208 |
1580
- | 9.6323 | 124700 | 3.5328 |
1581
- | 9.6400 | 124800 | 3.4859 |
1582
- | 9.6478 | 124900 | 3.5122 |
1583
- | 9.6555 | 125000 | 3.5516 |
1584
- | 9.6632 | 125100 | 3.5749 |
1585
- | 9.6709 | 125200 | 3.5642 |
1586
- | 9.6787 | 125300 | 3.5386 |
1587
- | 9.6864 | 125400 | 3.686 |
1588
- | 9.6941 | 125500 | 3.5945 |
1589
- | 9.7018 | 125600 | 3.5562 |
1590
- | 9.7096 | 125700 | 3.5411 |
1591
- | 9.7173 | 125800 | 3.6192 |
1592
- | 9.7250 | 125900 | 3.4776 |
1593
- | 9.7327 | 126000 | 3.528 |
1594
- | 9.7405 | 126100 | 3.5658 |
1595
- | 9.7482 | 126200 | 3.6469 |
1596
- | 9.7559 | 126300 | 3.5567 |
1597
- | 9.7636 | 126400 | 3.5422 |
1598
- | 9.7714 | 126500 | 3.5438 |
1599
- | 9.7791 | 126600 | 3.5276 |
1600
- | 9.7868 | 126700 | 3.5022 |
1601
- | 9.7945 | 126800 | 3.5494 |
1602
- | 9.8023 | 126900 | 3.5405 |
1603
- | 9.8100 | 127000 | 3.5506 |
1604
- | 9.8177 | 127100 | 3.6068 |
1605
- | 9.8254 | 127200 | 3.6041 |
1606
- | 9.8332 | 127300 | 3.4933 |
1607
- | 9.8409 | 127400 | 3.531 |
1608
- | 9.8486 | 127500 | 3.5548 |
1609
- | 9.8563 | 127600 | 3.6026 |
1610
- | 9.8641 | 127700 | 3.599 |
1611
- | 9.8718 | 127800 | 3.5771 |
1612
- | 9.8795 | 127900 | 3.594 |
1613
- | 9.8872 | 128000 | 3.5581 |
1614
- | 9.8949 | 128100 | 3.5536 |
1615
- | 9.9027 | 128200 | 3.5044 |
1616
- | 9.9104 | 128300 | 3.555 |
1617
- | 9.9181 | 128400 | 3.5424 |
1618
- | 9.9258 | 128500 | 3.5067 |
1619
- | 9.9336 | 128600 | 3.6229 |
1620
- | 9.9413 | 128700 | 3.5195 |
1621
- | 9.9490 | 128800 | 3.5115 |
1622
- | 9.9567 | 128900 | 3.5182 |
1623
- | 9.9645 | 129000 | 3.5602 |
1624
- | 9.9722 | 129100 | 3.5891 |
1625
- | 9.9799 | 129200 | 3.5521 |
1626
- | 9.9876 | 129300 | 3.5341 |
1627
- | 9.9954 | 129400 | 3.5907 |
1628
- | **10.0** | **129460** | **-** |
1629
 
1630
  * The bold row denotes the saved checkpoint.
1631
  </details>
 
7
  - generated_from_trainer
8
  - dataset_size:828486
9
  - loss:SymmetricLoss
10
+ base_model: dmis-lab/biobert-v1.1
11
  widget:
12
+ - source_sentence: Infectious and parasitic diseasesViral infection
 
13
  sentences:
14
+ - Diseases of the blood and blood-forming organs
15
+ - Infectious and parasitic diseases
16
+ - Diseases of the nervous system and sense organs → Central nervous system infection
17
+ - source_sentence: Neoplasms Cancer of skin
18
+ sentences:
19
+ - Residual codes; unclassified; all E codes
20
+ - Neoplasms
21
+ - Diseases of the skin and subcutaneous tissue → Skin and subcutaneous tissue infections
22
+ - source_sentence: Endocrine; nutritional; and metabolic diseases and immunity disorders
23
+ → Diabetes mellitus without complication
24
  sentences:
25
  - Diseases of the digestive system → Disorders of teeth and jaw
26
+ - Certain conditions originating in the perinatal period
27
  - Endocrine; nutritional; and metabolic diseases and immunity disorders
28
+ - source_sentence: Complications of pregnancy; childbirth; and the puerperium Indications
29
+ for care in pregnancy; labor; and delivery Malposition; malpresentation
 
 
 
 
 
 
30
  sentences:
31
+ - Complications of pregnancy; childbirth; and the puerperium → Normal pregnancy
32
+ and/or delivery Other pregnancy and delivery including normal
33
+ - Complications of pregnancy; childbirth; and the puerperium Contraceptive and
34
+ procreative management
35
+ - Complications of pregnancy; childbirth; and the puerperium → Indications for care
36
+ in pregnancy; labor; and delivery
37
+ - source_sentence: Mental illness → Alcohol-related disorders
38
  sentences:
39
+ - Mental illness
40
+ - Diseases of the digestive system
41
+ - Complications of pregnancy; childbirth; and the puerperium → Abortion-related
42
+ disorders
43
  pipeline_tag: sentence-similarity
44
  library_name: sentence-transformers
45
  ---
46
 
47
+ # HierarchyTransformer based on dmis-lab/biobert-v1.1
48
 
49
+ This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on the csv dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
50
 
51
  ## Model Details
52
 
53
  ### Model Description
54
  - **Model Type:** Sentence Transformer
55
+ - **Base model:** [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) <!-- at revision 551ca18efd7f052c8dfa0b01c94c2a8e68bc5488 -->
56
  - **Maximum Sequence Length:** 256 tokens
57
  - **Output Dimensionality:** 768 dimensions
58
  - **Similarity Function:** Cosine Similarity
 
70
  ### Full Model Architecture
71
 
72
  ```
73
+ HierarchyTransformer(
74
  (0): Transformer({'max_seq_length': 256, 'do_lower_case': False, 'architecture': 'BertModel'})
75
  (1): Pooling({'word_embedding_dimension': 768, '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})
76
  )
 
94
  model = SentenceTransformer("sentence_transformers_model_id")
95
  # Run inference
96
  sentences = [
97
+ 'Mental illnessAlcohol-related disorders',
98
+ 'Mental illness',
99
+ 'Diseases of the digestive system',
100
  ]
101
  embeddings = model.encode(sentences)
102
  print(embeddings.shape)
 
105
  # Get the similarity scores for the embeddings
106
  similarities = model.similarity(embeddings, embeddings)
107
  print(similarities)
108
+ # tensor([[1.0000, 0.6700, 0.3739],
109
+ # [0.6700, 1.0000, 0.4731],
110
+ # [0.3739, 0.4731, 1.0000]])
111
  ```
112
 
113
  <!--
 
154
 
155
  * Dataset: csv
156
  * Size: 828,486 training samples
157
+ * Columns: <code>child</code>, <code>parent</code>, <code>parent_negative</code>, and <code>child_negative</code>
158
  * Approximate statistics based on the first 1000 samples:
159
+ | | child | parent | parent_negative | child_negative |
160
+ |:--------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|
161
+ | type | string | string | string | string |
162
+ | details | <ul><li>min: 8 tokens</li><li>mean: 25.09 tokens</li><li>max: 65 tokens</li></ul> | <ul><li>min: 4 tokens</li><li>mean: 16.19 tokens</li><li>max: 41 tokens</li></ul> | <ul><li>min: 4 tokens</li><li>mean: 16.95 tokens</li><li>max: 34 tokens</li></ul> | <ul><li>min: 11 tokens</li><li>mean: 23.47 tokens</li><li>max: 65 tokens</li></ul> |
163
  * Samples:
164
+ | child | parent | parent_negative | child_negative |
165
+ |:---------------------------------------------------------------------|:-----------------------------------------------|:----------------------------|:----------------------------------------------------------------------------------------------------|
166
+ | <code>Infectious and parasitic diseases → Bacterial infection</code> | <code>Infectious and parasitic diseases</code> | <code>Mental illness</code> | <code>Diseases of the nervous system and sense organs → Central nervous system infection</code> |
167
+ | <code>Infectious and parasitic diseases → Bacterial infection</code> | <code>Infectious and parasitic diseases</code> | <code>Mental illness</code> | <code>Diseases of the digestive system → Intestinal infection</code> |
168
+ | <code>Infectious and parasitic diseases → Bacterial infection</code> | <code>Infectious and parasitic diseases</code> | <code>Mental illness</code> | <code>Diseases of the skin and subcutaneous tissue → Skin and subcutaneous tissue infections</code> |
169
  * Loss: <code>hierarchy_transformers.losses.symmetric_loss.SymmetricLoss</code> with these parameters:
170
  ```json
171
  {
 
187
  #### Non-Default Hyperparameters
188
 
189
  - `eval_strategy`: epoch
190
+ - `per_device_train_batch_size`: 128
191
+ - `per_device_eval_batch_size`: 512
192
  - `learning_rate`: 1e-05
193
  - `num_train_epochs`: 10
194
  - `warmup_steps`: 500
 
195
  - `load_best_model_at_end`: True
196
 
197
  #### All Hyperparameters
 
201
  - `do_predict`: False
202
  - `eval_strategy`: epoch
203
  - `prediction_loss_only`: True
204
+ - `per_device_train_batch_size`: 128
205
+ - `per_device_eval_batch_size`: 512
206
  - `per_gpu_train_batch_size`: None
207
  - `per_gpu_eval_batch_size`: None
208
  - `gradient_accumulation_steps`: 1
 
234
  - `seed`: 42
235
  - `data_seed`: None
236
  - `jit_mode_eval`: False
237
+ - `bf16`: False
238
  - `fp16`: False
239
  - `fp16_opt_level`: O1
240
  - `half_precision_backend`: auto
 
322
  ### Training Logs
323
  <details><summary>Click to expand</summary>
324
 
325
+ | Epoch | Step | Training Loss |
326
+ |:--------:|:---------:|:-------------:|
327
+ | 0.0154 | 100 | 3.2944 |
328
+ | 0.0309 | 200 | 1.522 |
329
+ | 0.0463 | 300 | 0.8489 |
330
+ | 0.0618 | 400 | 0.6791 |
331
+ | 0.0772 | 500 | 0.6221 |
332
+ | 0.0927 | 600 | 0.5962 |
333
+ | 0.1081 | 700 | 0.5629 |
334
+ | 0.1236 | 800 | 0.539 |
335
+ | 0.1390 | 900 | 0.5304 |
336
+ | 0.1545 | 1000 | 0.4969 |
337
+ | 0.1699 | 1100 | 0.5018 |
338
+ | 0.1854 | 1200 | 0.4831 |
339
+ | 0.2008 | 1300 | 0.4931 |
340
+ | 0.2163 | 1400 | 0.5116 |
341
+ | 0.2317 | 1500 | 0.4772 |
342
+ | 0.2472 | 1600 | 0.5243 |
343
+ | 0.2626 | 1700 | 0.4928 |
344
+ | 0.2781 | 1800 | 0.5059 |
345
+ | 0.2935 | 1900 | 0.4882 |
346
+ | 0.3090 | 2000 | 0.4789 |
347
+ | 0.3244 | 2100 | 0.4652 |
348
+ | 0.3399 | 2200 | 0.4805 |
349
+ | 0.3553 | 2300 | 0.4687 |
350
+ | 0.3708 | 2400 | 0.4737 |
351
+ | 0.3862 | 2500 | 0.465 |
352
+ | 0.4017 | 2600 | 0.4675 |
353
+ | 0.4171 | 2700 | 0.4746 |
354
+ | 0.4326 | 2800 | 0.469 |
355
+ | 0.4480 | 2900 | 0.4465 |
356
+ | 0.4635 | 3000 | 0.4775 |
357
+ | 0.4789 | 3100 | 0.4643 |
358
+ | 0.4944 | 3200 | 0.4658 |
359
+ | 0.5098 | 3300 | 0.4842 |
360
+ | 0.5253 | 3400 | 0.4586 |
361
+ | 0.5407 | 3500 | 0.4685 |
362
+ | 0.5562 | 3600 | 0.4811 |
363
+ | 0.5716 | 3700 | 0.4681 |
364
+ | 0.5871 | 3800 | 0.4582 |
365
+ | 0.6025 | 3900 | 0.4461 |
366
+ | 0.6180 | 4000 | 0.4544 |
367
+ | 0.6334 | 4100 | 0.44 |
368
+ | 0.6488 | 4200 | 0.4659 |
369
+ | 0.6643 | 4300 | 0.4737 |
370
+ | 0.6797 | 4400 | 0.4442 |
371
+ | 0.6952 | 4500 | 0.4628 |
372
+ | 0.7106 | 4600 | 0.4777 |
373
+ | 0.7261 | 4700 | 0.4456 |
374
+ | 0.7415 | 4800 | 0.4296 |
375
+ | 0.7570 | 4900 | 0.4391 |
376
+ | 0.7724 | 5000 | 0.457 |
377
+ | 0.7879 | 5100 | 0.4537 |
378
+ | 0.8033 | 5200 | 0.4602 |
379
+ | 0.8188 | 5300 | 0.472 |
380
+ | 0.8342 | 5400 | 0.4473 |
381
+ | 0.8497 | 5500 | 0.4536 |
382
+ | 0.8651 | 5600 | 0.4609 |
383
+ | 0.8806 | 5700 | 0.4487 |
384
+ | 0.8960 | 5800 | 0.4462 |
385
+ | 0.9115 | 5900 | 0.4605 |
386
+ | 0.9269 | 6000 | 0.4457 |
387
+ | 0.9424 | 6100 | 0.4389 |
388
+ | 0.9578 | 6200 | 0.4324 |
389
+ | 0.9733 | 6300 | 0.446 |
390
+ | 0.9887 | 6400 | 0.4585 |
391
+ | 1.0 | 6473 | - |
392
+ | 1.0042 | 6500 | 0.4564 |
393
+ | 1.0196 | 6600 | 0.4275 |
394
+ | 1.0351 | 6700 | 0.428 |
395
+ | 1.0505 | 6800 | 0.4591 |
396
+ | 1.0660 | 6900 | 0.4468 |
397
+ | 1.0814 | 7000 | 0.4227 |
398
+ | 1.0969 | 7100 | 0.4376 |
399
+ | 1.1123 | 7200 | 0.4527 |
400
+ | 1.1278 | 7300 | 0.4462 |
401
+ | 1.1432 | 7400 | 0.4437 |
402
+ | 1.1587 | 7500 | 0.4007 |
403
+ | 1.1741 | 7600 | 0.4394 |
404
+ | 1.1896 | 7700 | 0.4496 |
405
+ | 1.2050 | 7800 | 0.442 |
406
+ | 1.2205 | 7900 | 0.4278 |
407
+ | 1.2359 | 8000 | 0.4412 |
408
+ | 1.2514 | 8100 | 0.4284 |
409
+ | 1.2668 | 8200 | 0.4343 |
410
+ | 1.2822 | 8300 | 0.4564 |
411
+ | 1.2977 | 8400 | 0.4295 |
412
+ | 1.3131 | 8500 | 0.4353 |
413
+ | 1.3286 | 8600 | 0.4533 |
414
+ | 1.3440 | 8700 | 0.4625 |
415
+ | 1.3595 | 8800 | 0.4471 |
416
+ | 1.3749 | 8900 | 0.4447 |
417
+ | 1.3904 | 9000 | 0.449 |
418
+ | 1.4058 | 9100 | 0.4422 |
419
+ | 1.4213 | 9200 | 0.444 |
420
+ | 1.4367 | 9300 | 0.422 |
421
+ | 1.4522 | 9400 | 0.4289 |
422
+ | 1.4676 | 9500 | 0.4322 |
423
+ | 1.4831 | 9600 | 0.4633 |
424
+ | 1.4985 | 9700 | 0.4584 |
425
+ | 1.5140 | 9800 | 0.4451 |
426
+ | 1.5294 | 9900 | 0.4499 |
427
+ | 1.5449 | 10000 | 0.4437 |
428
+ | 1.5603 | 10100 | 0.4447 |
429
+ | 1.5758 | 10200 | 0.4479 |
430
+ | 1.5912 | 10300 | 0.4357 |
431
+ | 1.6067 | 10400 | 0.4413 |
432
+ | 1.6221 | 10500 | 0.4315 |
433
+ | 1.6376 | 10600 | 0.4266 |
434
+ | 1.6530 | 10700 | 0.4761 |
435
+ | 1.6685 | 10800 | 0.4316 |
436
+ | 1.6839 | 10900 | 0.4592 |
437
+ | 1.6994 | 11000 | 0.444 |
438
+ | 1.7148 | 11100 | 0.4407 |
439
+ | 1.7303 | 11200 | 0.4537 |
440
+ | 1.7457 | 11300 | 0.4286 |
441
+ | 1.7612 | 11400 | 0.4446 |
442
+ | 1.7766 | 11500 | 0.4356 |
443
+ | 1.7921 | 11600 | 0.4501 |
444
+ | 1.8075 | 11700 | 0.4364 |
445
+ | 1.8230 | 11800 | 0.4117 |
446
+ | 1.8384 | 11900 | 0.4297 |
447
+ | 1.8539 | 12000 | 0.434 |
448
+ | 1.8693 | 12100 | 0.436 |
449
+ | 1.8848 | 12200 | 0.4336 |
450
+ | 1.9002 | 12300 | 0.4394 |
451
+ | 1.9156 | 12400 | 0.4478 |
452
+ | 1.9311 | 12500 | 0.4465 |
453
+ | 1.9465 | 12600 | 0.4474 |
454
+ | 1.9620 | 12700 | 0.4462 |
455
+ | 1.9774 | 12800 | 0.4407 |
456
+ | 1.9929 | 12900 | 0.4543 |
457
+ | 2.0 | 12946 | - |
458
+ | 2.0083 | 13000 | 0.4304 |
459
+ | 2.0238 | 13100 | 0.4301 |
460
+ | 2.0392 | 13200 | 0.439 |
461
+ | 2.0547 | 13300 | 0.4294 |
462
+ | 2.0701 | 13400 | 0.4361 |
463
+ | 2.0856 | 13500 | 0.4109 |
464
+ | 2.1010 | 13600 | 0.4417 |
465
+ | 2.1165 | 13700 | 0.4152 |
466
+ | 2.1319 | 13800 | 0.4219 |
467
+ | 2.1474 | 13900 | 0.4301 |
468
+ | 2.1628 | 14000 | 0.4427 |
469
+ | 2.1783 | 14100 | 0.4285 |
470
+ | 2.1937 | 14200 | 0.412 |
471
+ | 2.2092 | 14300 | 0.4483 |
472
+ | 2.2246 | 14400 | 0.4246 |
473
+ | 2.2401 | 14500 | 0.4415 |
474
+ | 2.2555 | 14600 | 0.4303 |
475
+ | 2.2710 | 14700 | 0.4356 |
476
+ | 2.2864 | 14800 | 0.4284 |
477
+ | 2.3019 | 14900 | 0.4483 |
478
+ | 2.3173 | 15000 | 0.438 |
479
+ | 2.3328 | 15100 | 0.4311 |
480
+ | 2.3482 | 15200 | 0.4208 |
481
+ | 2.3637 | 15300 | 0.4403 |
482
+ | 2.3791 | 15400 | 0.4205 |
483
+ | 2.3946 | 15500 | 0.4353 |
484
+ | 2.4100 | 15600 | 0.4249 |
485
+ | 2.4255 | 15700 | 0.4206 |
486
+ | 2.4409 | 15800 | 0.4456 |
487
+ | 2.4564 | 15900 | 0.4225 |
488
+ | 2.4718 | 16000 | 0.4569 |
489
+ | 2.4873 | 16100 | 0.4377 |
490
+ | 2.5027 | 16200 | 0.4353 |
491
+ | 2.5182 | 16300 | 0.4395 |
492
+ | 2.5336 | 16400 | 0.4365 |
493
+ | 2.5490 | 16500 | 0.4267 |
494
+ | 2.5645 | 16600 | 0.4186 |
495
+ | 2.5799 | 16700 | 0.4279 |
496
+ | 2.5954 | 16800 | 0.4256 |
497
+ | 2.6108 | 16900 | 0.4346 |
498
+ | 2.6263 | 17000 | 0.4337 |
499
+ | 2.6417 | 17100 | 0.4388 |
500
+ | 2.6572 | 17200 | 0.4315 |
501
+ | 2.6726 | 17300 | 0.4383 |
502
+ | 2.6881 | 17400 | 0.4324 |
503
+ | 2.7035 | 17500 | 0.4414 |
504
+ | 2.7190 | 17600 | 0.4514 |
505
+ | 2.7344 | 17700 | 0.4323 |
506
+ | 2.7499 | 17800 | 0.4469 |
507
+ | 2.7653 | 17900 | 0.4548 |
508
+ | 2.7808 | 18000 | 0.4397 |
509
+ | 2.7962 | 18100 | 0.4404 |
510
+ | 2.8117 | 18200 | 0.4265 |
511
+ | 2.8271 | 18300 | 0.4353 |
512
+ | 2.8426 | 18400 | 0.4348 |
513
+ | 2.8580 | 18500 | 0.4355 |
514
+ | 2.8735 | 18600 | 0.441 |
515
+ | 2.8889 | 18700 | 0.4257 |
516
+ | 2.9044 | 18800 | 0.4417 |
517
+ | 2.9198 | 18900 | 0.4444 |
518
+ | 2.9353 | 19000 | 0.4271 |
519
+ | 2.9507 | 19100 | 0.4258 |
520
+ | 2.9662 | 19200 | 0.4265 |
521
+ | 2.9816 | 19300 | 0.4138 |
522
+ | 2.9971 | 19400 | 0.4303 |
523
+ | 3.0 | 19419 | - |
524
+ | 3.0125 | 19500 | 0.4192 |
525
+ | 3.0280 | 19600 | 0.4228 |
526
+ | 3.0434 | 19700 | 0.4277 |
527
+ | 3.0589 | 19800 | 0.4249 |
528
+ | 3.0743 | 19900 | 0.4336 |
529
+ | 3.0898 | 20000 | 0.4287 |
530
+ | 3.1052 | 20100 | 0.4095 |
531
+ | 3.1207 | 20200 | 0.4254 |
532
+ | 3.1361 | 20300 | 0.4098 |
533
+ | 3.1516 | 20400 | 0.4052 |
534
+ | 3.1670 | 20500 | 0.4521 |
535
+ | 3.1825 | 20600 | 0.418 |
536
+ | 3.1979 | 20700 | 0.4122 |
537
+ | 3.2133 | 20800 | 0.4512 |
538
+ | 3.2288 | 20900 | 0.4285 |
539
+ | 3.2442 | 21000 | 0.4376 |
540
+ | 3.2597 | 21100 | 0.444 |
541
+ | 3.2751 | 21200 | 0.4173 |
542
+ | 3.2906 | 21300 | 0.4143 |
543
+ | 3.3060 | 21400 | 0.4506 |
544
+ | 3.3215 | 21500 | 0.4247 |
545
+ | 3.3369 | 21600 | 0.4158 |
546
+ | 3.3524 | 21700 | 0.437 |
547
+ | 3.3678 | 21800 | 0.4158 |
548
+ | 3.3833 | 21900 | 0.4082 |
549
+ | 3.3987 | 22000 | 0.4367 |
550
+ | 3.4142 | 22100 | 0.4428 |
551
+ | 3.4296 | 22200 | 0.442 |
552
+ | 3.4451 | 22300 | 0.4283 |
553
+ | 3.4605 | 22400 | 0.4233 |
554
+ | 3.4760 | 22500 | 0.4245 |
555
+ | 3.4914 | 22600 | 0.4198 |
556
+ | 3.5069 | 22700 | 0.4317 |
557
+ | 3.5223 | 22800 | 0.4464 |
558
+ | 3.5378 | 22900 | 0.4301 |
559
+ | 3.5532 | 23000 | 0.4131 |
560
+ | 3.5687 | 23100 | 0.4201 |
561
+ | 3.5841 | 23200 | 0.4197 |
562
+ | 3.5996 | 23300 | 0.4323 |
563
+ | 3.6150 | 23400 | 0.4245 |
564
+ | 3.6305 | 23500 | 0.4276 |
565
+ | 3.6459 | 23600 | 0.4262 |
566
+ | 3.6614 | 23700 | 0.4137 |
567
+ | 3.6768 | 23800 | 0.4367 |
568
+ | 3.6923 | 23900 | 0.4397 |
569
+ | 3.7077 | 24000 | 0.4453 |
570
+ | 3.7232 | 24100 | 0.4189 |
571
+ | 3.7386 | 24200 | 0.4289 |
572
+ | 3.7541 | 24300 | 0.4135 |
573
+ | 3.7695 | 24400 | 0.4626 |
574
+ | 3.7850 | 24500 | 0.4334 |
575
+ | 3.8004 | 24600 | 0.4116 |
576
+ | 3.8159 | 24700 | 0.4383 |
577
+ | 3.8313 | 24800 | 0.4441 |
578
+ | 3.8467 | 24900 | 0.4319 |
579
+ | 3.8622 | 25000 | 0.432 |
580
+ | 3.8776 | 25100 | 0.4411 |
581
+ | 3.8931 | 25200 | 0.4208 |
582
+ | 3.9085 | 25300 | 0.4481 |
583
+ | 3.9240 | 25400 | 0.4176 |
584
+ | 3.9394 | 25500 | 0.4439 |
585
+ | 3.9549 | 25600 | 0.4032 |
586
+ | 3.9703 | 25700 | 0.4424 |
587
+ | 3.9858 | 25800 | 0.4304 |
588
+ | 4.0 | 25892 | - |
589
+ | 4.0012 | 25900 | 0.4399 |
590
+ | 4.0167 | 26000 | 0.4048 |
591
+ | 4.0321 | 26100 | 0.4176 |
592
+ | 4.0476 | 26200 | 0.4037 |
593
+ | 4.0630 | 26300 | 0.4323 |
594
+ | 4.0785 | 26400 | 0.4319 |
595
+ | 4.0939 | 26500 | 0.4448 |
596
+ | 4.1094 | 26600 | 0.4164 |
597
+ | 4.1248 | 26700 | 0.4594 |
598
+ | 4.1403 | 26800 | 0.4314 |
599
+ | 4.1557 | 26900 | 0.4321 |
600
+ | 4.1712 | 27000 | 0.4219 |
601
+ | 4.1866 | 27100 | 0.4263 |
602
+ | 4.2021 | 27200 | 0.4348 |
603
+ | 4.2175 | 27300 | 0.4205 |
604
+ | 4.2330 | 27400 | 0.4186 |
605
+ | 4.2484 | 27500 | 0.4114 |
606
+ | 4.2639 | 27600 | 0.3989 |
607
+ | 4.2793 | 27700 | 0.4104 |
608
+ | 4.2948 | 27800 | 0.424 |
609
+ | 4.3102 | 27900 | 0.4299 |
610
+ | 4.3257 | 28000 | 0.421 |
611
+ | 4.3411 | 28100 | 0.4091 |
612
+ | 4.3566 | 28200 | 0.4177 |
613
+ | 4.3720 | 28300 | 0.4243 |
614
+ | 4.3875 | 28400 | 0.4337 |
615
+ | 4.4029 | 28500 | 0.4103 |
616
+ | 4.4184 | 28600 | 0.4258 |
617
+ | 4.4338 | 28700 | 0.4285 |
618
+ | 4.4493 | 28800 | 0.4147 |
619
+ | 4.4647 | 28900 | 0.4221 |
620
+ | 4.4801 | 29000 | 0.4272 |
621
+ | 4.4956 | 29100 | 0.4065 |
622
+ | 4.5110 | 29200 | 0.4169 |
623
+ | 4.5265 | 29300 | 0.4258 |
624
+ | 4.5419 | 29400 | 0.461 |
625
+ | 4.5574 | 29500 | 0.4553 |
626
+ | 4.5728 | 29600 | 0.4269 |
627
+ | 4.5883 | 29700 | 0.4406 |
628
+ | 4.6037 | 29800 | 0.4184 |
629
+ | 4.6192 | 29900 | 0.4287 |
630
+ | 4.6346 | 30000 | 0.4353 |
631
+ | 4.6501 | 30100 | 0.4373 |
632
+ | 4.6655 | 30200 | 0.4302 |
633
+ | 4.6810 | 30300 | 0.4301 |
634
+ | 4.6964 | 30400 | 0.4395 |
635
+ | 4.7119 | 30500 | 0.4336 |
636
+ | 4.7273 | 30600 | 0.4332 |
637
+ | 4.7428 | 30700 | 0.4161 |
638
+ | 4.7582 | 30800 | 0.4327 |
639
+ | 4.7737 | 30900 | 0.4183 |
640
+ | 4.7891 | 31000 | 0.4245 |
641
+ | 4.8046 | 31100 | 0.4448 |
642
+ | 4.8200 | 31200 | 0.4298 |
643
+ | 4.8355 | 31300 | 0.4297 |
644
+ | 4.8509 | 31400 | 0.4356 |
645
+ | 4.8664 | 31500 | 0.4342 |
646
+ | 4.8818 | 31600 | 0.4192 |
647
+ | 4.8973 | 31700 | 0.4187 |
648
+ | 4.9127 | 31800 | 0.4284 |
649
+ | 4.9282 | 31900 | 0.4486 |
650
+ | 4.9436 | 32000 | 0.4257 |
651
+ | 4.9591 | 32100 | 0.43 |
652
+ | 4.9745 | 32200 | 0.4016 |
653
+ | 4.9900 | 32300 | 0.4303 |
654
+ | 5.0 | 32365 | - |
655
+ | 5.0054 | 32400 | 0.4059 |
656
+ | 5.0209 | 32500 | 0.4149 |
657
+ | 5.0363 | 32600 | 0.4182 |
658
+ | 5.0518 | 32700 | 0.4407 |
659
+ | 5.0672 | 32800 | 0.4166 |
660
+ | 5.0827 | 32900 | 0.4011 |
661
+ | 5.0981 | 33000 | 0.4278 |
662
+ | 5.1135 | 33100 | 0.4072 |
663
+ | 5.1290 | 33200 | 0.4161 |
664
+ | 5.1444 | 33300 | 0.4236 |
665
+ | 5.1599 | 33400 | 0.4191 |
666
+ | 5.1753 | 33500 | 0.4172 |
667
+ | 5.1908 | 33600 | 0.4228 |
668
+ | 5.2062 | 33700 | 0.4221 |
669
+ | 5.2217 | 33800 | 0.4234 |
670
+ | 5.2371 | 33900 | 0.4056 |
671
+ | 5.2526 | 34000 | 0.4284 |
672
+ | 5.2680 | 34100 | 0.4177 |
673
+ | 5.2835 | 34200 | 0.4355 |
674
+ | 5.2989 | 34300 | 0.4282 |
675
+ | 5.3144 | 34400 | 0.4183 |
676
+ | 5.3298 | 34500 | 0.4282 |
677
+ | 5.3453 | 34600 | 0.4239 |
678
+ | 5.3607 | 34700 | 0.4408 |
679
+ | 5.3762 | 34800 | 0.4237 |
680
+ | 5.3916 | 34900 | 0.4319 |
681
+ | 5.4071 | 35000 | 0.4217 |
682
+ | 5.4225 | 35100 | 0.4339 |
683
+ | 5.4380 | 35200 | 0.4227 |
684
+ | 5.4534 | 35300 | 0.4006 |
685
+ | 5.4689 | 35400 | 0.4246 |
686
+ | 5.4843 | 35500 | 0.4337 |
687
+ | 5.4998 | 35600 | 0.437 |
688
+ | 5.5152 | 35700 | 0.4288 |
689
+ | 5.5307 | 35800 | 0.4169 |
690
+ | 5.5461 | 35900 | 0.4271 |
691
+ | 5.5616 | 36000 | 0.4444 |
692
+ | 5.5770 | 36100 | 0.4094 |
693
+ | 5.5925 | 36200 | 0.4264 |
694
+ | 5.6079 | 36300 | 0.4163 |
695
+ | 5.6234 | 36400 | 0.4254 |
696
+ | 5.6388 | 36500 | 0.4129 |
697
+ | 5.6543 | 36600 | 0.4274 |
698
+ | 5.6697 | 36700 | 0.4047 |
699
+ | 5.6852 | 36800 | 0.4171 |
700
+ | 5.7006 | 36900 | 0.447 |
701
+ | 5.7161 | 37000 | 0.4175 |
702
+ | 5.7315 | 37100 | 0.4403 |
703
+ | 5.7469 | 37200 | 0.4225 |
704
+ | 5.7624 | 37300 | 0.4306 |
705
+ | 5.7778 | 37400 | 0.4294 |
706
+ | 5.7933 | 37500 | 0.4078 |
707
+ | 5.8087 | 37600 | 0.4318 |
708
+ | 5.8242 | 37700 | 0.4147 |
709
+ | 5.8396 | 37800 | 0.4303 |
710
+ | 5.8551 | 37900 | 0.4269 |
711
+ | 5.8705 | 38000 | 0.425 |
712
+ | 5.8860 | 38100 | 0.4083 |
713
+ | 5.9014 | 38200 | 0.4096 |
714
+ | 5.9169 | 38300 | 0.4326 |
715
+ | 5.9323 | 38400 | 0.4253 |
716
+ | 5.9478 | 38500 | 0.4071 |
717
+ | 5.9632 | 38600 | 0.4189 |
718
+ | 5.9787 | 38700 | 0.4213 |
719
+ | 5.9941 | 38800 | 0.4526 |
720
+ | 6.0 | 38838 | - |
721
+ | 6.0096 | 38900 | 0.4078 |
722
+ | 6.0250 | 39000 | 0.412 |
723
+ | 6.0405 | 39100 | 0.4218 |
724
+ | 6.0559 | 39200 | 0.4212 |
725
+ | 6.0714 | 39300 | 0.3925 |
726
+ | 6.0868 | 39400 | 0.4242 |
727
+ | 6.1023 | 39500 | 0.4287 |
728
+ | 6.1177 | 39600 | 0.3917 |
729
+ | 6.1332 | 39700 | 0.4432 |
730
+ | 6.1486 | 39800 | 0.4199 |
731
+ | 6.1641 | 39900 | 0.4035 |
732
+ | 6.1795 | 40000 | 0.4078 |
733
+ | 6.1950 | 40100 | 0.4163 |
734
+ | 6.2104 | 40200 | 0.4066 |
735
+ | 6.2259 | 40300 | 0.4123 |
736
+ | 6.2413 | 40400 | 0.4235 |
737
+ | 6.2568 | 40500 | 0.4264 |
738
+ | 6.2722 | 40600 | 0.4045 |
739
+ | 6.2877 | 40700 | 0.4292 |
740
+ | 6.3031 | 40800 | 0.4341 |
741
+ | 6.3186 | 40900 | 0.4174 |
742
+ | 6.3340 | 41000 | 0.4187 |
743
+ | 6.3495 | 41100 | 0.4209 |
744
+ | 6.3649 | 41200 | 0.4216 |
745
+ | 6.3803 | 41300 | 0.4245 |
746
+ | 6.3958 | 41400 | 0.4243 |
747
+ | 6.4112 | 41500 | 0.4213 |
748
+ | 6.4267 | 41600 | 0.4317 |
749
+ | 6.4421 | 41700 | 0.4174 |
750
+ | 6.4576 | 41800 | 0.431 |
751
+ | 6.4730 | 41900 | 0.412 |
752
+ | 6.4885 | 42000 | 0.4338 |
753
+ | 6.5039 | 42100 | 0.4177 |
754
+ | 6.5194 | 42200 | 0.4109 |
755
+ | 6.5348 | 42300 | 0.4227 |
756
+ | 6.5503 | 42400 | 0.4085 |
757
+ | 6.5657 | 42500 | 0.4106 |
758
+ | 6.5812 | 42600 | 0.4192 |
759
+ | 6.5966 | 42700 | 0.4465 |
760
+ | 6.6121 | 42800 | 0.4313 |
761
+ | 6.6275 | 42900 | 0.4189 |
762
+ | 6.6430 | 43000 | 0.4055 |
763
+ | 6.6584 | 43100 | 0.4217 |
764
+ | 6.6739 | 43200 | 0.4314 |
765
+ | 6.6893 | 43300 | 0.4309 |
766
+ | 6.7048 | 43400 | 0.4336 |
767
+ | 6.7202 | 43500 | 0.4449 |
768
+ | 6.7357 | 43600 | 0.4254 |
769
+ | 6.7511 | 43700 | 0.4129 |
770
+ | 6.7666 | 43800 | 0.418 |
771
+ | 6.7820 | 43900 | 0.4417 |
772
+ | 6.7975 | 44000 | 0.4098 |
773
+ | 6.8129 | 44100 | 0.4317 |
774
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775
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