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Zlovoblachko
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L1-classifier

Text Classification
setfit
Safetensors
sentence-transformers
bert
generated_from_setfit_trainer
Eval Results
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Add SetFit model

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  1. README.md +201 -759
  2. model.safetensors +1 -1
  3. model_head.pkl +1 -1
README.md CHANGED
@@ -8,14 +8,18 @@ tags:
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  metrics:
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  - accuracy
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  widget:
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- - text: It doesn't depend on hi-teck evangelism.
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- - text: But in the all region we see gender unequal; in 2000 boys have education often
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- then girls on 15 millions.
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- - text: There is opinion, that universities should have equal amount of male and female
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- students in every subject in society.
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- - text: A building's style may say a lot about its history.
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- - text: Manufactured goods by rail is the same amount as by road, Machinery transported
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- by road has minimal percent in second chart.
 
 
 
 
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  pipeline_tag: text-classification
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  inference: true
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  base_model: sentence-transformers/all-MiniLM-L6-v2
@@ -31,7 +35,7 @@ model-index:
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  split: test
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  metrics:
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  - type: accuracy
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- value: 0.592741935483871
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  name: Accuracy
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  ---
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@@ -63,20 +67,20 @@ The model has been trained using an efficient few-shot learning technique that i
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  - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
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  ### Model Labels
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- | Label | Examples |
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- |:-----------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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- | Copying expression | <ul><li>'What is needed to improve the situation with widespread using of gadjets is definite action should be encouraged and promoted by means of avoiding them.'</li><li>'Inside every of us are our passions.'</li><li>'The number of 15-59 year old people will increase for 11% but the number of 0-14 will fall and become 37%.'</li></ul> |
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- | Synonyms | <ul><li>'But some persons consider that the institutes should accept the equal amount of girls and boys in every faculty.'</li><li>'Nowadays problem of ecology and environment is rather acute and many people are alarmed by it.'</li><li>'The amount of people over 65 was rising between 1940 and the end of 1970s.'</li></ul> |
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- | Tense semantics | <ul><li>'After that the figure uncreases dramatically from 180 billions in 2009 to approximately 279 billions in 2011.'</li><li>'On the contrary, in 2014 the UK book market demonstrate minimum income, only 2,6 and 1,8 billion dollars for print book and eBook, correspondely.'</li><li>'It is not clear, what it is depends on, but after the higest point in 42% in Japan the percentage get down to 30%.'</li></ul> |
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- | Word form transmission | <ul><li>'A lot of people from music and cinema industry lose money due to somebody sends pirate copies to the internet.'</li><li>'The deal was worth $2 billions .'</li><li>'According to the projections numbers of people in the age of 15-60 years will show a considerable increase in 2050 by 11 per cent, such as people aged 60 and more years by 2,1 percent.'</li></ul> |
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- | Transliteration | <ul><li>'According to the statistic a lot of people with some horible diseases can get cvalificate help only in Japan.'</li><li>"It doesn't depend on hi-teck evangelism."</li><li>'GMO technologies are believed to be dangerous.'</li></ul> |
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  ## Evaluation
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  ### Metrics
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  | Label | Accuracy |
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  |:--------|:---------|
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- | **all** | 0.5927 |
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  ## Uses
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@@ -96,7 +100,7 @@ from setfit import SetFitModel
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  # Download from the 🤗 Hub
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  model = SetFitModel.from_pretrained("Zlovoblachko/L1-classifier")
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  # Run inference
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- preds = model("It doesn't depend on hi-teck evangelism.")
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  ```
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  <!--
@@ -128,19 +132,19 @@ preds = model("It doesn't depend on hi-teck evangelism.")
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  ### Training Set Metrics
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  | Training set | Min | Median | Max |
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  |:-------------|:----|:-------|:----|
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- | Word count | 2 | 20.788 | 54 |
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  | Label | Training Sample Count |
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  |:-----------------------|:----------------------|
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- | Synonyms | 91 |
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- | Copying expression | 55 |
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- | Tense semantics | 57 |
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- | Word form transmission | 32 |
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- | Transliteration | 15 |
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  ### Training Hyperparameters
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  - batch_size: (32, 32)
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- - num_epochs: (15, 15)
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  - max_steps: -1
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  - sampling_strategy: oversampling
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  - body_learning_rate: (2e-05, 1e-05)
@@ -156,740 +160,178 @@ preds = model("It doesn't depend on hi-teck evangelism.")
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  - load_best_model_at_end: False
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  ### Training Results
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- | Epoch | Step | Training Loss | Validation Loss |
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- |:-------:|:-----:|:-------------:|:---------------:|
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- | 0.0043 | 1 | 0.3438 | - |
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- | 0.0342 | 50 | 0.2906 | - |
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- | 0.0685 | 100 | 0.2761 | - |
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- | 0.1027 | 150 | 0.2696 | - |
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- | 0.1370 | 200 | 0.2381 | - |
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- | 0.1712 | 250 | 0.2542 | - |
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- | 0.2055 | 300 | 0.1781 | - |
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- | 0.2397 | 350 | 0.2067 | - |
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- | 0.2740 | 400 | 0.222 | - |
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- | 0.3082 | 450 | 0.2372 | - |
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- | 0.3425 | 500 | 0.193 | - |
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- | 0.3767 | 550 | 0.2399 | - |
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- | 0.4110 | 600 | 0.1712 | - |
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- | 0.4452 | 650 | 0.1697 | - |
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- | 0.4795 | 700 | 0.1507 | - |
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- | 0.5137 | 750 | 0.0947 | - |
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- | 0.5479 | 800 | 0.0722 | - |
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- | 0.5822 | 850 | 0.0975 | - |
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- | 0.6164 | 900 | 0.035 | - |
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- | 0.6507 | 950 | 0.0114 | - |
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- | 0.6849 | 1000 | 0.0332 | - |
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- | 0.7192 | 1050 | 0.0274 | - |
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- | 0.7534 | 1100 | 0.0126 | - |
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- | 0.7877 | 1150 | 0.0267 | - |
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- | 0.8219 | 1200 | 0.0194 | - |
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- | 0.8562 | 1250 | 0.0206 | - |
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- | 0.8904 | 1300 | 0.0228 | - |
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- | 0.9247 | 1350 | 0.0076 | - |
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- | 0.9589 | 1400 | 0.0342 | - |
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- | 0.9932 | 1450 | 0.0252 | - |
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- | 1.0274 | 1500 | 0.0164 | - |
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- | 1.0616 | 1550 | 0.0049 | - |
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- | 1.0959 | 1600 | 0.0043 | - |
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- | 1.1301 | 1650 | 0.0114 | - |
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- | 1.1644 | 1700 | 0.03 | - |
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- | 1.1986 | 1750 | 0.0026 | - |
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- | 1.2329 | 1800 | 0.0012 | - |
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- | 1.2671 | 1850 | 0.0073 | - |
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- | 1.3014 | 1900 | 0.0146 | - |
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- | 1.3356 | 1950 | 0.001 | - |
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- | 1.3699 | 2000 | 0.0088 | - |
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- | 1.4041 | 2050 | 0.0031 | - |
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- | 1.4384 | 2100 | 0.0125 | - |
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- | 1.4726 | 2150 | 0.0357 | - |
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- | 1.5068 | 2200 | 0.0186 | - |
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- | 1.5411 | 2250 | 0.0178 | - |
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- | 1.5753 | 2300 | 0.0071 | - |
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- | 1.6096 | 2350 | 0.0186 | - |
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- | 1.6438 | 2400 | 0.0077 | - |
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- | 1.6781 | 2450 | 0.0183 | - |
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- | 1.7123 | 2500 | 0.0007 | - |
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- | 1.7466 | 2550 | 0.0007 | - |
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- | 1.7808 | 2600 | 0.0052 | - |
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- | 1.8151 | 2650 | 0.0077 | - |
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- | 1.8493 | 2700 | 0.0421 | - |
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- | 1.8836 | 2750 | 0.0272 | - |
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- | 1.9178 | 2800 | 0.0144 | - |
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- | 1.9521 | 2850 | 0.0038 | - |
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- | 1.9863 | 2900 | 0.0043 | - |
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- | 2.0205 | 2950 | 0.0187 | - |
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- | 2.0548 | 3000 | 0.0075 | - |
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- | 2.0890 | 3050 | 0.0151 | - |
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- | 2.1233 | 3100 | 0.0114 | - |
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- | 2.1575 | 3150 | 0.0022 | - |
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- | 2.1918 | 3200 | 0.0007 | - |
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- | 2.2260 | 3250 | 0.0196 | - |
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- | 2.2603 | 3300 | 0.0266 | - |
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- | 2.2945 | 3350 | 0.0139 | - |
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- | 2.3288 | 3400 | 0.0169 | - |
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- | 2.3630 | 3450 | 0.0124 | - |
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- | 2.3973 | 3500 | 0.0018 | - |
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- | 2.4315 | 3550 | 0.0242 | - |
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- | 2.4658 | 3600 | 0.0402 | - |
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- | 2.5 | 3650 | 0.0015 | - |
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- | 2.5342 | 3700 | 0.0042 | - |
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- | 2.5685 | 3750 | 0.0437 | - |
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- | 2.6027 | 3800 | 0.006 | - |
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- | 2.6370 | 3850 | 0.0005 | - |
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- | 2.6712 | 3900 | 0.0118 | - |
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- | 2.7055 | 3950 | 0.0166 | - |
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- | 2.7397 | 4000 | 0.025 | - |
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- | 2.7740 | 4050 | 0.0167 | - |
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- | 2.8082 | 4100 | 0.0285 | - |
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- | 2.8425 | 4150 | 0.0048 | - |
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- | 2.8767 | 4200 | 0.0149 | - |
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- | 2.9110 | 4250 | 0.0078 | - |
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- | 2.9452 | 4300 | 0.0097 | - |
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- | 2.9795 | 4350 | 0.0068 | - |
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- | 3.0137 | 4400 | 0.0235 | - |
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- | 3.0479 | 4450 | 0.0004 | - |
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- | 3.0822 | 4500 | 0.0355 | - |
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- | 3.1164 | 4550 | 0.0237 | - |
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- | 3.1507 | 4600 | 0.0004 | - |
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- | 3.1849 | 4650 | 0.0003 | - |
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- | 3.2192 | 4700 | 0.0038 | - |
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- | 3.2534 | 4750 | 0.0002 | - |
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- | 3.2877 | 4800 | 0.0105 | - |
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- | 3.3219 | 4850 | 0.0055 | - |
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- | 3.3562 | 4900 | 0.0282 | - |
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- | 3.3904 | 4950 | 0.0105 | - |
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- | 3.4247 | 5000 | 0.0362 | - |
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- | 3.4589 | 5050 | 0.0004 | - |
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- | 3.4932 | 5100 | 0.0229 | - |
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- | 3.5274 | 5150 | 0.0092 | - |
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- | 3.5616 | 5200 | 0.033 | - |
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- | 3.5959 | 5250 | 0.0003 | - |
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- | 3.6301 | 5300 | 0.0444 | - |
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- | 3.6644 | 5350 | 0.0181 | - |
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- | 3.6986 | 5400 | 0.0254 | - |
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- | 3.7329 | 5450 | 0.0057 | - |
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- | 3.7671 | 5500 | 0.0511 | - |
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- | 3.8014 | 5550 | 0.0024 | - |
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- | 3.8356 | 5600 | 0.0195 | - |
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- | 3.8699 | 5650 | 0.0202 | - |
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- | 3.9041 | 5700 | 0.0003 | - |
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- | 3.9384 | 5750 | 0.0322 | - |
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- | 3.9726 | 5800 | 0.0123 | - |
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- | 4.0068 | 5850 | 0.0002 | - |
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- | 4.0411 | 5900 | 0.0002 | - |
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- | 4.0753 | 5950 | 0.008 | - |
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- | 4.1096 | 6000 | 0.0053 | - |
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- | 4.1438 | 6050 | 0.0003 | - |
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- | 4.1781 | 6100 | 0.0213 | - |
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- | 4.2123 | 6150 | 0.0046 | - |
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- | 4.2466 | 6200 | 0.0331 | - |
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- | 4.2808 | 6250 | 0.0078 | - |
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- | 4.3151 | 6300 | 0.0042 | - |
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- | 4.3493 | 6350 | 0.0234 | - |
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- | 4.3836 | 6400 | 0.0043 | - |
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- | 4.4178 | 6450 | 0.0253 | - |
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- | 4.4521 | 6500 | 0.0303 | - |
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- | 4.4863 | 6550 | 0.004 | - |
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- | 4.5205 | 6600 | 0.0166 | - |
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- | 4.5548 | 6650 | 0.0269 | - |
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- | 4.5890 | 6700 | 0.0079 | - |
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- | 4.6233 | 6750 | 0.0001 | - |
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- | 4.6575 | 6800 | 0.0002 | - |
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- | 4.6918 | 6850 | 0.0002 | - |
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- | 4.7260 | 6900 | 0.0199 | - |
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- | 4.7603 | 6950 | 0.0282 | - |
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- | 4.7945 | 7000 | 0.0016 | - |
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- | 4.8288 | 7050 | 0.0068 | - |
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- | 4.8630 | 7100 | 0.0054 | - |
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- | 4.8973 | 7150 | 0.036 | - |
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- | 4.9315 | 7200 | 0.0054 | - |
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- | 4.9658 | 7250 | 0.0174 | - |
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- | 5.0 | 7300 | 0.0001 | - |
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- | 5.0342 | 7350 | 0.0123 | - |
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- | 5.0685 | 7400 | 0.0218 | - |
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- | 5.1027 | 7450 | 0.0162 | - |
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- | 5.1370 | 7500 | 0.0181 | - |
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- | 5.1712 | 7550 | 0.0001 | - |
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- | 5.2055 | 7600 | 0.0201 | - |
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- | 5.2397 | 7650 | 0.0232 | - |
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- | 5.2740 | 7700 | 0.0003 | - |
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- | 5.3082 | 7750 | 0.0002 | - |
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- | 5.3425 | 7800 | 0.0094 | - |
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- | 5.3767 | 7850 | 0.0151 | - |
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- | 5.4110 | 7900 | 0.0099 | - |
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- | 5.4452 | 7950 | 0.01 | - |
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- | 5.4795 | 8000 | 0.0378 | - |
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- | 5.5137 | 8050 | 0.0199 | - |
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- | 5.5479 | 8100 | 0.0201 | - |
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- | 5.5822 | 8150 | 0.0242 | - |
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- | 5.6164 | 8200 | 0.0015 | - |
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- | 5.6507 | 8250 | 0.0002 | - |
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- | 5.6849 | 8300 | 0.0047 | - |
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- | 5.7192 | 8350 | 0.0002 | - |
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- | 5.7534 | 8400 | 0.0001 | - |
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- | 5.7877 | 8450 | 0.0215 | - |
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- | 5.8219 | 8500 | 0.0159 | - |
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- | 5.8562 | 8550 | 0.0001 | - |
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- | 5.8904 | 8600 | 0.0194 | - |
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- | 5.9247 | 8650 | 0.0058 | - |
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- | 5.9589 | 8700 | 0.0001 | - |
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- | 5.9932 | 8750 | 0.0164 | - |
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- | 6.0274 | 8800 | 0.0272 | - |
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- | 6.0616 | 8850 | 0.0001 | - |
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- | 6.0959 | 8900 | 0.0031 | - |
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- | 6.1301 | 8950 | 0.0154 | - |
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- | 6.1644 | 9000 | 0.0403 | - |
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- | 6.1986 | 9050 | 0.0035 | - |
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- | 6.2329 | 9100 | 0.0001 | - |
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- | 6.2671 | 9150 | 0.0061 | - |
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- | 6.3014 | 9200 | 0.0118 | - |
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- | 6.3356 | 9250 | 0.0031 | - |
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- | 6.3699 | 9300 | 0.0001 | - |
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- | 6.4041 | 9350 | 0.0098 | - |
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- | 6.4384 | 9400 | 0.0001 | - |
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- | 6.4726 | 9450 | 0.0343 | - |
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- | 6.5068 | 9500 | 0.017 | - |
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- | 6.5411 | 9550 | 0.0025 | - |
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- | 6.5753 | 9600 | 0.0001 | - |
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- | 6.6096 | 9650 | 0.0181 | - |
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- | 6.6438 | 9700 | 0.0191 | - |
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- | 6.6781 | 9750 | 0.0186 | - |
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- | 6.7123 | 9800 | 0.0001 | - |
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- | 6.7466 | 9850 | 0.0002 | - |
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- | 6.7808 | 9900 | 0.0001 | - |
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- | 6.8151 | 9950 | 0.0086 | - |
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- | 6.8493 | 10000 | 0.0377 | - |
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- | 6.8836 | 10050 | 0.0167 | - |
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- | 6.9178 | 10100 | 0.0034 | - |
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- | 6.9521 | 10150 | 0.0054 | - |
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- | 6.9863 | 10200 | 0.0048 | - |
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- | 7.0205 | 10250 | 0.0219 | - |
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- | 7.0890 | 10350 | 0.0001 | - |
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- | 7.1233 | 10400 | 0.0262 | - |
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- | 7.1575 | 10450 | 0.0069 | - |
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- | 7.1918 | 10500 | 0.0001 | - |
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- | 7.2260 | 10550 | 0.0158 | - |
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- | 7.2603 | 10600 | 0.0192 | - |
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- | 7.2945 | 10650 | 0.0098 | - |
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- | 7.3288 | 10700 | 0.0001 | - |
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- | 7.3630 | 10750 | 0.0002 | - |
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- | 7.3973 | 10800 | 0.0021 | - |
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- | 7.4315 | 10850 | 0.0252 | - |
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- | 7.4658 | 10900 | 0.0383 | - |
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- | 7.5 | 10950 | 0.0001 | - |
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- | 7.5342 | 11000 | 0.0001 | - |
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- | 7.5685 | 11050 | 0.0491 | - |
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- | 7.6027 | 11100 | 0.0076 | - |
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- | 7.6370 | 11150 | 0.0089 | - |
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- | 7.6712 | 11200 | 0.0162 | - |
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- | 7.7055 | 11250 | 0.0163 | - |
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- | 7.7397 | 11300 | 0.0188 | - |
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- | 7.7740 | 11350 | 0.0141 | - |
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- | 7.8082 | 11400 | 0.0277 | - |
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- | 7.8425 | 11450 | 0.0001 | - |
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- | 7.8767 | 11500 | 0.0001 | - |
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- | 7.9110 | 11550 | 0.0055 | - |
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- | 7.9452 | 11600 | 0.0029 | - |
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- | 7.9795 | 11650 | 0.0001 | - |
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- | 8.0137 | 11700 | 0.0186 | - |
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- | 8.0479 | 11750 | 0.0037 | - |
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- | 8.0822 | 11800 | 0.0205 | - |
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- | 8.1164 | 11850 | 0.0217 | - |
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- | 8.1507 | 11900 | 0.0036 | - |
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- | 8.1849 | 11950 | 0.0039 | - |
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- | 8.2192 | 12000 | 0.0001 | - |
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- | 8.2534 | 12050 | 0.0055 | - |
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- | 8.2877 | 12100 | 0.0027 | - |
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- | 8.3219 | 12150 | 0.0029 | - |
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- | 8.3562 | 12200 | 0.0279 | - |
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- | 8.3904 | 12250 | 0.0139 | - |
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- | 8.4247 | 12300 | 0.04 | - |
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- | 8.4589 | 12350 | 0.003 | - |
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- | 8.4932 | 12400 | 0.0161 | - |
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- | 8.5274 | 12450 | 0.0001 | - |
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- | 8.5616 | 12500 | 0.035 | - |
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- | 8.5959 | 12550 | 0.0021 | - |
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- | 8.6301 | 12600 | 0.0355 | - |
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- | 8.6644 | 12650 | 0.0139 | - |
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- | 8.6986 | 12700 | 0.0183 | - |
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- | 8.7329 | 12750 | 0.0041 | - |
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- | 8.7671 | 12800 | 0.0354 | - |
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- | 8.8014 | 12850 | 0.0 | - |
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- | 8.8356 | 12900 | 0.0197 | - |
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- | 8.8699 | 12950 | 0.0189 | - |
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- | 8.9041 | 13000 | 0.0063 | - |
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- | 8.9384 | 13050 | 0.0309 | - |
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- | 8.9726 | 13100 | 0.0029 | - |
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- | 9.0068 | 13150 | 0.0027 | - |
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- | 9.0411 | 13200 | 0.0018 | - |
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- | 9.0753 | 13250 | 0.0104 | - |
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- | 9.1096 | 13300 | 0.0057 | - |
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- | 9.1438 | 13350 | 0.0051 | - |
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- | 9.1781 | 13400 | 0.0172 | - |
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- | 9.2123 | 13450 | 0.0001 | - |
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- | 9.2466 | 13500 | 0.0347 | - |
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- | 9.2808 | 13550 | 0.0024 | - |
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- | 9.3151 | 13600 | 0.0147 | - |
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- | 9.3493 | 13650 | 0.0218 | - |
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- | 9.3836 | 13700 | 0.0028 | - |
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- | 9.4178 | 13750 | 0.0205 | - |
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- | 9.4521 | 13800 | 0.0215 | - |
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- | 9.4863 | 13850 | 0.0001 | - |
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- | 9.5205 | 13900 | 0.0157 | - |
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- | 9.5548 | 13950 | 0.0227 | - |
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- | 9.5890 | 14000 | 0.0001 | - |
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- | 9.6233 | 14050 | 0.0048 | - |
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- | 9.6575 | 14100 | 0.0106 | - |
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- | 9.6918 | 14150 | 0.0077 | - |
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- | 9.7260 | 14200 | 0.0225 | - |
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- | 9.7603 | 14250 | 0.0173 | - |
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- | 9.7945 | 14300 | 0.0028 | - |
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- | 9.8288 | 14350 | 0.0022 | - |
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- | 9.8630 | 14400 | 0.003 | - |
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- | 9.8973 | 14450 | 0.0355 | - |
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- | 9.9315 | 14500 | 0.0001 | - |
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- | 9.9658 | 14550 | 0.0187 | - |
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- | 10.0 | 14600 | 0.0001 | - |
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- | 0.0007 | 1 | 0.0055 | - |
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- | 0.0342 | 50 | 0.0127 | - |
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- | 0.0685 | 100 | 0.0206 | - |
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- | 0.1027 | 150 | 0.0195 | - |
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- | 0.1370 | 200 | 0.0238 | - |
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- | 0.1712 | 250 | 0.0029 | - |
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- | 0.2055 | 300 | 0.0204 | - |
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- | 0.2397 | 350 | 0.0174 | - |
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- | 0.2740 | 400 | 0.0001 | - |
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- | 0.3082 | 450 | 0.0023 | - |
464
- | 0.3425 | 500 | 0.0001 | - |
465
- | 0.3767 | 550 | 0.0254 | - |
466
- | 0.4110 | 600 | 0.0029 | - |
467
- | 0.4452 | 650 | 0.0082 | - |
468
- | 0.4795 | 700 | 0.0411 | - |
469
- | 0.5137 | 750 | 0.0159 | - |
470
- | 0.5479 | 800 | 0.0207 | - |
471
- | 0.5822 | 850 | 0.0173 | - |
472
- | 0.6164 | 900 | 0.0001 | - |
473
- | 0.6507 | 950 | 0.0018 | - |
474
- | 0.6849 | 1000 | 0.0059 | - |
475
- | 0.7192 | 1050 | 0.0014 | - |
476
- | 0.7534 | 1100 | 0.0022 | - |
477
- | 0.7877 | 1150 | 0.0187 | - |
478
- | 0.8219 | 1200 | 0.0158 | - |
479
- | 0.8562 | 1250 | 0.0025 | - |
480
- | 0.8904 | 1300 | 0.0113 | - |
481
- | 0.9247 | 1350 | 0.0007 | - |
482
- | 0.9589 | 1400 | 0.004 | - |
483
- | 0.9932 | 1450 | 0.0216 | - |
484
- | 1.0274 | 1500 | 0.0213 | - |
485
- | 1.0616 | 1550 | 0.0044 | - |
486
- | 1.0959 | 1600 | 0.0025 | - |
487
- | 1.1301 | 1650 | 0.0154 | - |
488
- | 1.1644 | 1700 | 0.038 | - |
489
- | 1.1986 | 1750 | 0.0001 | - |
490
- | 1.2329 | 1800 | 0.0004 | - |
491
- | 1.2671 | 1850 | 0.0065 | - |
492
- | 1.3014 | 1900 | 0.0087 | - |
493
- | 1.3356 | 1950 | 0.0001 | - |
494
- | 1.3699 | 2000 | 0.0039 | - |
495
- | 1.4041 | 2050 | 0.0005 | - |
496
- | 1.4384 | 2100 | 0.0087 | - |
497
- | 1.4726 | 2150 | 0.0369 | - |
498
- | 1.5068 | 2200 | 0.0157 | - |
499
- | 1.5411 | 2250 | 0.0094 | - |
500
- | 1.5753 | 2300 | 0.0042 | - |
501
- | 1.6096 | 2350 | 0.018 | - |
502
- | 1.6438 | 2400 | 0.014 | - |
503
- | 1.6781 | 2450 | 0.0161 | - |
504
- | 1.7123 | 2500 | 0.0011 | - |
505
- | 1.7466 | 2550 | 0.0001 | - |
506
- | 1.7808 | 2600 | 0.004 | - |
507
- | 1.8151 | 2650 | 0.0048 | - |
508
- | 1.8493 | 2700 | 0.0403 | - |
509
- | 1.8836 | 2750 | 0.0254 | - |
510
- | 1.9178 | 2800 | 0.0124 | - |
511
- | 1.9521 | 2850 | 0.0028 | - |
512
- | 1.9863 | 2900 | 0.0026 | - |
513
- | 2.0205 | 2950 | 0.0171 | - |
514
- | 2.0548 | 3000 | 0.0049 | - |
515
- | 2.0890 | 3050 | 0.0092 | - |
516
- | 2.1233 | 3100 | 0.0134 | - |
517
- | 2.1575 | 3150 | 0.0021 | - |
518
- | 2.1918 | 3200 | 0.0001 | - |
519
- | 2.2260 | 3250 | 0.0153 | - |
520
- | 2.2603 | 3300 | 0.0253 | - |
521
- | 2.2945 | 3350 | 0.0095 | - |
522
- | 2.3288 | 3400 | 0.0144 | - |
523
- | 2.3630 | 3450 | 0.0064 | - |
524
- | 2.3973 | 3500 | 0.0013 | - |
525
- | 2.4315 | 3550 | 0.0216 | - |
526
- | 2.4658 | 3600 | 0.0387 | - |
527
- | 2.5 | 3650 | 0.0018 | - |
528
- | 2.5342 | 3700 | 0.0034 | - |
529
- | 2.5685 | 3750 | 0.0428 | - |
530
- | 2.6027 | 3800 | 0.0055 | - |
531
- | 2.6370 | 3850 | 0.0001 | - |
532
- | 2.6712 | 3900 | 0.0154 | - |
533
- | 2.7055 | 3950 | 0.0176 | - |
534
- | 2.7397 | 4000 | 0.0213 | - |
535
- | 2.7740 | 4050 | 0.016 | - |
536
- | 2.8082 | 4100 | 0.0293 | - |
537
- | 2.8425 | 4150 | 0.0034 | - |
538
- | 2.8767 | 4200 | 0.0119 | - |
539
- | 2.9110 | 4250 | 0.0061 | - |
540
- | 2.9452 | 4300 | 0.0068 | - |
541
- | 2.9795 | 4350 | 0.006 | - |
542
- | 3.0137 | 4400 | 0.0211 | - |
543
- | 3.0479 | 4450 | 0.0001 | - |
544
- | 3.0822 | 4500 | 0.0303 | - |
545
- | 3.1164 | 4550 | 0.0225 | - |
546
- | 3.1507 | 4600 | 0.0001 | - |
547
- | 3.1849 | 4650 | 0.0002 | - |
548
- | 3.2192 | 4700 | 0.0031 | - |
549
- | 3.2534 | 4750 | 0.0001 | - |
550
- | 3.2877 | 4800 | 0.0103 | - |
551
- | 3.3219 | 4850 | 0.0055 | - |
552
- | 3.3562 | 4900 | 0.0297 | - |
553
- | 3.3904 | 4950 | 0.0121 | - |
554
- | 3.4247 | 5000 | 0.0348 | - |
555
- | 3.4589 | 5050 | 0.0003 | - |
556
- | 3.4932 | 5100 | 0.0212 | - |
557
- | 3.5274 | 5150 | 0.0077 | - |
558
- | 3.5616 | 5200 | 0.0339 | - |
559
- | 3.5959 | 5250 | 0.0001 | - |
560
- | 3.6301 | 5300 | 0.0444 | - |
561
- | 3.6644 | 5350 | 0.0167 | - |
562
- | 3.6986 | 5400 | 0.0245 | - |
563
- | 3.7329 | 5450 | 0.005 | - |
564
- | 3.7671 | 5500 | 0.047 | - |
565
- | 3.8014 | 5550 | 0.0021 | - |
566
- | 3.8356 | 5600 | 0.019 | - |
567
- | 3.8699 | 5650 | 0.0187 | - |
568
- | 3.9041 | 5700 | 0.0001 | - |
569
- | 3.9384 | 5750 | 0.0328 | - |
570
- | 3.9726 | 5800 | 0.0097 | - |
571
- | 4.0068 | 5850 | 0.0001 | - |
572
- | 4.0411 | 5900 | 0.0001 | - |
573
- | 4.0753 | 5950 | 0.0078 | - |
574
- | 4.1096 | 6000 | 0.0057 | - |
575
- | 4.1438 | 6050 | 0.0002 | - |
576
- | 4.1781 | 6100 | 0.0218 | - |
577
- | 4.2123 | 6150 | 0.0038 | - |
578
- | 4.2466 | 6200 | 0.0337 | - |
579
- | 4.2808 | 6250 | 0.0065 | - |
580
- | 4.3151 | 6300 | 0.0033 | - |
581
- | 4.3493 | 6350 | 0.0228 | - |
582
- | 4.3836 | 6400 | 0.0033 | - |
583
- | 4.4178 | 6450 | 0.0244 | - |
584
- | 4.4521 | 6500 | 0.027 | - |
585
- | 4.4863 | 6550 | 0.0027 | - |
586
- | 4.5205 | 6600 | 0.0153 | - |
587
- | 4.5548 | 6650 | 0.0241 | - |
588
- | 4.5890 | 6700 | 0.0071 | - |
589
- | 4.6233 | 6750 | 0.0001 | - |
590
- | 4.6575 | 6800 | 0.0 | - |
591
- | 4.6918 | 6850 | 0.0001 | - |
592
- | 4.7260 | 6900 | 0.0203 | - |
593
- | 4.7603 | 6950 | 0.0273 | - |
594
- | 4.7945 | 7000 | 0.0017 | - |
595
- | 4.8288 | 7050 | 0.0062 | - |
596
- | 4.8630 | 7100 | 0.0043 | - |
597
- | 4.8973 | 7150 | 0.0346 | - |
598
- | 4.9315 | 7200 | 0.005 | - |
599
- | 4.9658 | 7250 | 0.0182 | - |
600
- | 5.0 | 7300 | 0.0001 | - |
601
- | 5.0342 | 7350 | 0.0108 | - |
602
- | 5.0685 | 7400 | 0.0218 | - |
603
- | 5.1027 | 7450 | 0.0163 | - |
604
- | 5.1370 | 7500 | 0.0195 | - |
605
- | 5.1712 | 7550 | 0.0001 | - |
606
- | 5.2055 | 7600 | 0.0195 | - |
607
- | 5.2397 | 7650 | 0.0222 | - |
608
- | 5.2740 | 7700 | 0.0002 | - |
609
- | 5.3082 | 7750 | 0.0001 | - |
610
- | 5.3425 | 7800 | 0.0078 | - |
611
- | 5.3767 | 7850 | 0.0158 | - |
612
- | 5.4110 | 7900 | 0.0081 | - |
613
- | 5.4452 | 7950 | 0.0087 | - |
614
- | 5.4795 | 8000 | 0.0372 | - |
615
- | 5.5137 | 8050 | 0.019 | - |
616
- | 5.5479 | 8100 | 0.0188 | - |
617
- | 5.5822 | 8150 | 0.0238 | - |
618
- | 5.6164 | 8200 | 0.0018 | - |
619
- | 5.6507 | 8250 | 0.0001 | - |
620
- | 5.6849 | 8300 | 0.0046 | - |
621
- | 5.7192 | 8350 | 0.0001 | - |
622
- | 5.7534 | 8400 | 0.0001 | - |
623
- | 5.7877 | 8450 | 0.0216 | - |
624
- | 5.8219 | 8500 | 0.0164 | - |
625
- | 5.8562 | 8550 | 0.0 | - |
626
- | 5.8904 | 8600 | 0.018 | - |
627
- | 5.9247 | 8650 | 0.0059 | - |
628
- | 5.9589 | 8700 | 0.0001 | - |
629
- | 5.9932 | 8750 | 0.0168 | - |
630
- | 6.0274 | 8800 | 0.0259 | - |
631
- | 6.0616 | 8850 | 0.0001 | - |
632
- | 6.0959 | 8900 | 0.0029 | - |
633
- | 6.1301 | 8950 | 0.0159 | - |
634
- | 6.1644 | 9000 | 0.041 | - |
635
- | 6.1986 | 9050 | 0.0035 | - |
636
- | 6.2329 | 9100 | 0.0001 | - |
637
- | 6.2671 | 9150 | 0.005 | - |
638
- | 6.3014 | 9200 | 0.0101 | - |
639
- | 6.3356 | 9250 | 0.0027 | - |
640
- | 6.3699 | 9300 | 0.0 | - |
641
- | 6.4041 | 9350 | 0.0094 | - |
642
- | 6.4384 | 9400 | 0.0001 | - |
643
- | 6.4726 | 9450 | 0.0335 | - |
644
- | 6.5068 | 9500 | 0.0168 | - |
645
- | 6.5411 | 9550 | 0.0025 | - |
646
- | 6.5753 | 9600 | 0.0001 | - |
647
- | 6.6096 | 9650 | 0.0185 | - |
648
- | 6.6438 | 9700 | 0.0188 | - |
649
- | 6.6781 | 9750 | 0.0187 | - |
650
- | 6.7123 | 9800 | 0.0001 | - |
651
- | 6.7466 | 9850 | 0.0002 | - |
652
- | 6.7808 | 9900 | 0.0001 | - |
653
- | 6.8151 | 9950 | 0.0087 | - |
654
- | 6.8493 | 10000 | 0.0371 | - |
655
- | 6.8836 | 10050 | 0.0172 | - |
656
- | 6.9178 | 10100 | 0.0028 | - |
657
- | 6.9521 | 10150 | 0.0055 | - |
658
- | 6.9863 | 10200 | 0.0043 | - |
659
- | 7.0205 | 10250 | 0.0219 | - |
660
- | 7.0548 | 10300 | 0.0 | - |
661
- | 7.0890 | 10350 | 0.0001 | - |
662
- | 7.1233 | 10400 | 0.026 | - |
663
- | 7.1575 | 10450 | 0.0067 | - |
664
- | 7.1918 | 10500 | 0.0001 | - |
665
- | 7.2260 | 10550 | 0.0162 | - |
666
- | 7.2603 | 10600 | 0.019 | - |
667
- | 7.2945 | 10650 | 0.0093 | - |
668
- | 7.3288 | 10700 | 0.0001 | - |
669
- | 7.3630 | 10750 | 0.0002 | - |
670
- | 7.3973 | 10800 | 0.002 | - |
671
- | 7.4315 | 10850 | 0.0247 | - |
672
- | 7.4658 | 10900 | 0.0394 | - |
673
- | 7.5 | 10950 | 0.0001 | - |
674
- | 7.5342 | 11000 | 0.0001 | - |
675
- | 7.5685 | 11050 | 0.0503 | - |
676
- | 7.6027 | 11100 | 0.0066 | - |
677
- | 7.6370 | 11150 | 0.0087 | - |
678
- | 7.6712 | 11200 | 0.0165 | - |
679
- | 7.7055 | 11250 | 0.0164 | - |
680
- | 7.7397 | 11300 | 0.019 | - |
681
- | 7.7740 | 11350 | 0.0143 | - |
682
- | 7.8082 | 11400 | 0.0282 | - |
683
- | 7.8425 | 11450 | 0.0001 | - |
684
- | 7.8767 | 11500 | 0.0 | - |
685
- | 7.9110 | 11550 | 0.0049 | - |
686
- | 7.9452 | 11600 | 0.0028 | - |
687
- | 7.9795 | 11650 | 0.0001 | - |
688
- | 8.0137 | 11700 | 0.0184 | - |
689
- | 8.0479 | 11750 | 0.0038 | - |
690
- | 8.0822 | 11800 | 0.0211 | - |
691
- | 8.1164 | 11850 | 0.0217 | - |
692
- | 8.1507 | 11900 | 0.0035 | - |
693
- | 8.1849 | 11950 | 0.0039 | - |
694
- | 8.2192 | 12000 | 0.0 | - |
695
- | 8.2534 | 12050 | 0.0055 | - |
696
- | 8.2877 | 12100 | 0.0027 | - |
697
- | 8.3219 | 12150 | 0.0031 | - |
698
- | 8.3562 | 12200 | 0.0271 | - |
699
- | 8.3904 | 12250 | 0.0138 | - |
700
- | 8.4247 | 12300 | 0.0413 | - |
701
- | 8.4589 | 12350 | 0.0029 | - |
702
- | 8.4932 | 12400 | 0.0161 | - |
703
- | 8.5274 | 12450 | 0.0 | - |
704
- | 8.5616 | 12500 | 0.0352 | - |
705
- | 8.5959 | 12550 | 0.0018 | - |
706
- | 8.6301 | 12600 | 0.0363 | - |
707
- | 8.6644 | 12650 | 0.0136 | - |
708
- | 8.6986 | 12700 | 0.0175 | - |
709
- | 8.7329 | 12750 | 0.0045 | - |
710
- | 8.7671 | 12800 | 0.036 | - |
711
- | 8.8014 | 12850 | 0.0001 | - |
712
- | 8.8356 | 12900 | 0.0188 | - |
713
- | 8.8699 | 12950 | 0.0192 | - |
714
- | 8.9041 | 13000 | 0.0059 | - |
715
- | 8.9384 | 13050 | 0.0298 | - |
716
- | 8.9726 | 13100 | 0.0026 | - |
717
- | 9.0068 | 13150 | 0.0027 | - |
718
- | 9.0411 | 13200 | 0.0017 | - |
719
- | 9.0753 | 13250 | 0.0103 | - |
720
- | 9.1096 | 13300 | 0.0061 | - |
721
- | 9.1438 | 13350 | 0.0043 | - |
722
- | 9.1781 | 13400 | 0.0189 | - |
723
- | 9.2123 | 13450 | 0.0001 | - |
724
- | 9.2466 | 13500 | 0.0363 | - |
725
- | 9.2808 | 13550 | 0.0019 | - |
726
- | 9.3151 | 13600 | 0.0141 | - |
727
- | 9.3493 | 13650 | 0.0213 | - |
728
- | 9.3836 | 13700 | 0.0029 | - |
729
- | 9.4178 | 13750 | 0.0217 | - |
730
- | 9.4521 | 13800 | 0.0218 | - |
731
- | 9.4863 | 13850 | 0.0001 | - |
732
- | 9.5205 | 13900 | 0.014 | - |
733
- | 9.5548 | 13950 | 0.0213 | - |
734
- | 9.5890 | 14000 | 0.0 | - |
735
- | 9.6233 | 14050 | 0.004 | - |
736
- | 9.6575 | 14100 | 0.0112 | - |
737
- | 9.6918 | 14150 | 0.0077 | - |
738
- | 9.7260 | 14200 | 0.0237 | - |
739
- | 9.7603 | 14250 | 0.0202 | - |
740
- | 9.7945 | 14300 | 0.003 | - |
741
- | 9.8288 | 14350 | 0.002 | - |
742
- | 9.8630 | 14400 | 0.0028 | - |
743
- | 9.8973 | 14450 | 0.0398 | - |
744
- | 9.9315 | 14500 | 0.0001 | - |
745
- | 9.9658 | 14550 | 0.0185 | - |
746
- | 10.0 | 14600 | 0.0001 | - |
747
- | 10.0342 | 14650 | 0.0102 | - |
748
- | 10.0685 | 14700 | 0.0164 | - |
749
- | 10.1027 | 14750 | 0.0161 | - |
750
- | 10.1370 | 14800 | 0.0221 | - |
751
- | 10.1712 | 14850 | 0.0016 | - |
752
- | 10.2055 | 14900 | 0.0151 | - |
753
- | 10.2397 | 14950 | 0.0215 | - |
754
- | 10.2740 | 15000 | 0.0021 | - |
755
- | 10.3082 | 15050 | 0.0075 | - |
756
- | 10.3425 | 15100 | 0.0001 | - |
757
- | 10.3767 | 15150 | 0.0211 | - |
758
- | 10.4110 | 15200 | 0.0022 | - |
759
- | 10.4452 | 15250 | 0.0001 | - |
760
- | 10.4795 | 15300 | 0.0348 | - |
761
- | 10.5137 | 15350 | 0.0211 | - |
762
- | 10.5479 | 15400 | 0.0193 | - |
763
- | 10.5822 | 15450 | 0.0203 | - |
764
- | 10.6164 | 15500 | 0.0001 | - |
765
- | 10.6507 | 15550 | 0.0 | - |
766
- | 10.6849 | 15600 | 0.0028 | - |
767
- | 10.7192 | 15650 | 0.0025 | - |
768
- | 10.7534 | 15700 | 0.003 | - |
769
- | 10.7877 | 15750 | 0.0199 | - |
770
- | 10.8219 | 15800 | 0.0238 | - |
771
- | 10.8562 | 15850 | 0.0024 | - |
772
- | 10.8904 | 15900 | 0.0149 | - |
773
- | 10.9247 | 15950 | 0.0019 | - |
774
- | 10.9589 | 16000 | 0.0001 | - |
775
- | 10.9932 | 16050 | 0.0206 | - |
776
- | 11.0274 | 16100 | 0.0187 | - |
777
- | 11.0616 | 16150 | 0.0025 | - |
778
- | 11.0959 | 16200 | 0.0001 | - |
779
- | 11.1301 | 16250 | 0.0185 | - |
780
- | 11.1644 | 16300 | 0.0476 | - |
781
- | 11.1986 | 16350 | 0.0027 | - |
782
- | 11.2329 | 16400 | 0.0064 | - |
783
- | 11.2671 | 16450 | 0.0026 | - |
784
- | 11.3014 | 16500 | 0.0055 | - |
785
- | 11.3356 | 16550 | 0.0024 | - |
786
- | 11.3699 | 16600 | 0.0059 | - |
787
- | 11.4041 | 16650 | 0.0 | - |
788
- | 11.4384 | 16700 | 0.0 | - |
789
- | 11.4726 | 16750 | 0.0333 | - |
790
- | 11.5068 | 16800 | 0.0231 | - |
791
- | 11.5411 | 16850 | 0.0084 | - |
792
- | 11.5753 | 16900 | 0.0001 | - |
793
- | 11.6096 | 16950 | 0.0173 | - |
794
- | 11.6438 | 17000 | 0.0207 | - |
795
- | 11.6781 | 17050 | 0.0162 | - |
796
- | 11.7123 | 17100 | 0.0071 | - |
797
- | 11.7466 | 17150 | 0.0049 | - |
798
- | 11.7808 | 17200 | 0.0025 | - |
799
- | 11.8151 | 17250 | 0.011 | - |
800
- | 11.8493 | 17300 | 0.035 | - |
801
- | 11.8836 | 17350 | 0.0168 | - |
802
- | 11.9178 | 17400 | 0.0085 | - |
803
- | 11.9521 | 17450 | 0.0028 | - |
804
- | 11.9863 | 17500 | 0.0 | - |
805
- | 12.0205 | 17550 | 0.0239 | - |
806
- | 12.0548 | 17600 | 0.0026 | - |
807
- | 12.0890 | 17650 | 0.008 | - |
808
- | 12.1233 | 17700 | 0.0165 | - |
809
- | 12.1575 | 17750 | 0.0027 | - |
810
- | 12.1918 | 17800 | 0.0069 | - |
811
- | 12.2260 | 17850 | 0.0215 | - |
812
- | 12.2603 | 17900 | 0.0236 | - |
813
- | 12.2945 | 17950 | 0.0001 | - |
814
- | 12.3288 | 18000 | 0.0001 | - |
815
- | 12.3630 | 18050 | 0.0025 | - |
816
- | 12.3973 | 18100 | 0.0026 | - |
817
- | 12.4315 | 18150 | 0.0164 | - |
818
- | 12.4658 | 18200 | 0.035 | - |
819
- | 12.5 | 18250 | 0.0032 | - |
820
- | 12.5342 | 18300 | 0.0 | - |
821
- | 12.5685 | 18350 | 0.0343 | - |
822
- | 12.6027 | 18400 | 0.0024 | - |
823
- | 12.6370 | 18450 | 0.0025 | - |
824
- | 12.6712 | 18500 | 0.0202 | - |
825
- | 12.7055 | 18550 | 0.0192 | - |
826
- | 12.7397 | 18600 | 0.017 | - |
827
- | 12.7740 | 18650 | 0.02 | - |
828
- | 12.8082 | 18700 | 0.0321 | - |
829
- | 12.8425 | 18750 | 0.0001 | - |
830
- | 12.8767 | 18800 | 0.0023 | - |
831
- | 12.9110 | 18850 | 0.0028 | - |
832
- | 12.9452 | 18900 | 0.0 | - |
833
- | 12.9795 | 18950 | 0.0 | - |
834
- | 13.0137 | 19000 | 0.0267 | - |
835
- | 13.0479 | 19050 | 0.0056 | - |
836
- | 13.0822 | 19100 | 0.0219 | - |
837
- | 13.1164 | 19150 | 0.0184 | - |
838
- | 13.1507 | 19200 | 0.0028 | - |
839
- | 13.1849 | 19250 | 0.0 | - |
840
- | 13.2192 | 19300 | 0.005 | - |
841
- | 13.2534 | 19350 | 0.0056 | - |
842
- | 13.2877 | 19400 | 0.0033 | - |
843
- | 13.3219 | 19450 | 0.0 | - |
844
- | 13.3562 | 19500 | 0.034 | - |
845
- | 13.3904 | 19550 | 0.0173 | - |
846
- | 13.4247 | 19600 | 0.033 | - |
847
- | 13.4589 | 19650 | 0.0025 | - |
848
- | 13.4932 | 19700 | 0.0279 | - |
849
- | 13.5274 | 19750 | 0.0052 | - |
850
- | 13.5616 | 19800 | 0.0351 | - |
851
- | 13.5959 | 19850 | 0.0 | - |
852
- | 13.6301 | 19900 | 0.035 | - |
853
- | 13.6644 | 19950 | 0.0069 | - |
854
- | 13.6986 | 20000 | 0.0227 | - |
855
- | 13.7329 | 20050 | 0.0 | - |
856
- | 13.7671 | 20100 | 0.0347 | - |
857
- | 13.8014 | 20150 | 0.0 | - |
858
- | 13.8356 | 20200 | 0.0217 | - |
859
- | 13.8699 | 20250 | 0.02 | - |
860
- | 13.9041 | 20300 | 0.0 | - |
861
- | 13.9384 | 20350 | 0.0393 | - |
862
- | 13.9726 | 20400 | 0.0053 | - |
863
- | 14.0068 | 20450 | 0.0026 | - |
864
- | 14.0411 | 20500 | 0.0025 | - |
865
- | 14.0753 | 20550 | 0.0049 | - |
866
- | 14.1096 | 20600 | 0.0 | - |
867
- | 14.1438 | 20650 | 0.0 | - |
868
- | 14.1781 | 20700 | 0.0184 | - |
869
- | 14.2123 | 20750 | 0.0029 | - |
870
- | 14.2466 | 20800 | 0.0313 | - |
871
- | 14.2808 | 20850 | 0.0 | - |
872
- | 14.3151 | 20900 | 0.0051 | - |
873
- | 14.3493 | 20950 | 0.0157 | - |
874
- | 14.3836 | 21000 | 0.0059 | - |
875
- | 14.4178 | 21050 | 0.0182 | - |
876
- | 14.4521 | 21100 | 0.0242 | - |
877
- | 14.4863 | 21150 | 0.0024 | - |
878
- | 14.5205 | 21200 | 0.026 | - |
879
- | 14.5548 | 21250 | 0.0211 | - |
880
- | 14.5890 | 21300 | 0.0053 | - |
881
- | 14.6233 | 21350 | 0.0 | - |
882
- | 14.6575 | 21400 | 0.0 | - |
883
- | 14.6918 | 21450 | 0.0034 | - |
884
- | 14.7260 | 21500 | 0.0239 | - |
885
- | 14.7603 | 21550 | 0.0209 | - |
886
- | 14.7945 | 21600 | 0.0028 | - |
887
- | 14.8288 | 21650 | 0.0 | - |
888
- | 14.8630 | 21700 | 0.0022 | - |
889
- | 14.8973 | 21750 | 0.0364 | - |
890
- | 14.9315 | 21800 | 0.0052 | - |
891
- | 14.9658 | 21850 | 0.0239 | - |
892
- | 15.0 | 21900 | 0.0 | - |
893
 
894
  ### Framework Versions
895
  - Python: 3.10.12
 
8
  metrics:
9
  - accuracy
10
  widget:
11
+ - text: According to the second chart the most popular country visited by UK residents
12
+ at this period of time was France, which was visited by about 11 millions of people
13
+ of people.
14
+ - text: According to first diagramm, half of Yemen's population in 2000 was children
15
+ 0-14 years old.
16
+ - text: After 1980 part old people in USA rose slight and in Sweden this point stay
17
+ unchanged.
18
+ - text: According to this charts people from the group 0-14 years take the biggest
19
+ proportion from Yemen citizens in 2001.
20
+ - text: 'After 1996 the numbers in the USA and Sweden began to differ: while in the
21
+ USA the number of aged people fluctuated at the point of 14,8%, the population
22
+ of Sweden outlived a considerable growth from 13% to 20% in 2010.'
23
  pipeline_tag: text-classification
24
  inference: true
25
  base_model: sentence-transformers/all-MiniLM-L6-v2
 
35
  split: test
36
  metrics:
37
  - type: accuracy
38
+ value: 0.6197183098591549
39
  name: Accuracy
40
  ---
41
 
 
67
  - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
68
 
69
  ### Model Labels
70
+ | Label | Examples |
71
+ |:-----------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
72
+ | Word form transmission | <ul><li>"Mother should take care of her own child at first, by this quote we simply can see that problems of government's own country should be placed on the first position."</li><li>"A building's style may say a lot about its history."</li><li>'A lot of artists and entertainment organisations have financional costs because of free using of their contents in the Internet.'</li></ul> |
73
+ | Tense semantics | <ul><li>'Samsung, "Blackberry" and "HTC" in 2015 have almost the same percentage share.'</li><li>'(5,9%) Overall, almost all unemployment rates have remained on the same level between 2014 and 2015, except EU, Latin America and Middle East.'</li><li>'15% consist of things which are transported by rail in Eastern Europe in 2008.'</li></ul> |
74
+ | Synonyms | <ul><li>'(the destination between Moscow and Saint Petersburg, for instance, can be easily overcame by "Lastochka" train for 5 hours).'</li><li>'(the destination between Moscow and Saint Petersburg, for instance, can be easily overcame by "Lastochka" train for 5 hours).'</li><li>'There is an extremely clear difference: there are too many men on a tech subjects.'</li></ul> |
75
+ | Copying expression | <ul><li>'15-59 years people in Yemen are increasing, while in Italy this number decreases.'</li><li>'2013 year is a key one.'</li><li>'3,6% are people have age 60+ years.'</li></ul> |
76
+ | Transliteration | <ul><li>'A closer look at graphic revails that goods transported by rail had good products, which massive 11%.'</li><li>"According to first diagramm, half of Yemen's population in 2000 was children 0-14 years old."</li><li>'According to my opinion different fabrics make much more harm for our nature.'</li></ul> |
77
 
78
  ## Evaluation
79
 
80
  ### Metrics
81
  | Label | Accuracy |
82
  |:--------|:---------|
83
+ | **all** | 0.6197 |
84
 
85
  ## Uses
86
 
 
100
  # Download from the 🤗 Hub
101
  model = SetFitModel.from_pretrained("Zlovoblachko/L1-classifier")
102
  # Run inference
103
+ preds = model("After 1980 part old people in USA rose slight and in Sweden this point stay unchanged.")
104
  ```
105
 
106
  <!--
 
132
  ### Training Set Metrics
133
  | Training set | Min | Median | Max |
134
  |:-------------|:----|:-------|:----|
135
+ | Word count | 2 | 21.005 | 47 |
136
 
137
  | Label | Training Sample Count |
138
  |:-----------------------|:----------------------|
139
+ | Synonyms | 99 |
140
+ | Copying expression | 26 |
141
+ | Tense semantics | 27 |
142
+ | Word form transmission | 40 |
143
+ | Transliteration | 8 |
144
 
145
  ### Training Hyperparameters
146
  - batch_size: (32, 32)
147
+ - num_epochs: (10, 10)
148
  - max_steps: -1
149
  - sampling_strategy: oversampling
150
  - body_learning_rate: (2e-05, 1e-05)
 
160
  - load_best_model_at_end: False
161
 
162
  ### Training Results
163
+ | Epoch | Step | Training Loss | Validation Loss |
164
+ |:------:|:----:|:-------------:|:---------------:|
165
+ | 0.0012 | 1 | 0.3375 | - |
166
+ | 0.0590 | 50 | 0.3628 | - |
167
+ | 0.1179 | 100 | 0.3312 | - |
168
+ | 0.1769 | 150 | 0.2342 | - |
169
+ | 0.2358 | 200 | 0.2665 | - |
170
+ | 0.2948 | 250 | 0.1857 | - |
171
+ | 0.3538 | 300 | 0.2134 | - |
172
+ | 0.4127 | 350 | 0.1786 | - |
173
+ | 0.4717 | 400 | 0.092 | - |
174
+ | 0.5307 | 450 | 0.2031 | - |
175
+ | 0.5896 | 500 | 0.1449 | - |
176
+ | 0.6486 | 550 | 0.1234 | - |
177
+ | 0.7075 | 600 | 0.0552 | - |
178
+ | 0.7665 | 650 | 0.0693 | - |
179
+ | 0.8255 | 700 | 0.097 | - |
180
+ | 0.8844 | 750 | 0.0448 | - |
181
+ | 0.9434 | 800 | 0.041 | - |
182
+ | 1.0024 | 850 | 0.0431 | - |
183
+ | 1.0613 | 900 | 0.0227 | - |
184
+ | 1.1203 | 950 | 0.061 | - |
185
+ | 1.1792 | 1000 | 0.0209 | - |
186
+ | 1.2382 | 1050 | 0.0071 | - |
187
+ | 1.2972 | 1100 | 0.0285 | - |
188
+ | 1.3561 | 1150 | 0.0039 | - |
189
+ | 1.4151 | 1200 | 0.0029 | - |
190
+ | 1.4741 | 1250 | 0.0097 | - |
191
+ | 1.5330 | 1300 | 0.0076 | - |
192
+ | 1.5920 | 1350 | 0.0021 | - |
193
+ | 1.6509 | 1400 | 0.015 | - |
194
+ | 1.7099 | 1450 | 0.0027 | - |
195
+ | 1.7689 | 1500 | 0.0204 | - |
196
+ | 1.8278 | 1550 | 0.013 | - |
197
+ | 1.8868 | 1600 | 0.0222 | - |
198
+ | 1.9458 | 1650 | 0.0427 | - |
199
+ | 2.0047 | 1700 | 0.0181 | - |
200
+ | 2.0637 | 1750 | 0.0232 | - |
201
+ | 2.1226 | 1800 | 0.0053 | - |
202
+ | 2.1816 | 1850 | 0.0169 | - |
203
+ | 2.2406 | 1900 | 0.006 | - |
204
+ | 2.2995 | 1950 | 0.0108 | - |
205
+ | 2.3585 | 2000 | 0.0034 | - |
206
+ | 2.4175 | 2050 | 0.0198 | - |
207
+ | 2.4764 | 2100 | 0.0006 | - |
208
+ | 2.5354 | 2150 | 0.0142 | - |
209
+ | 2.5943 | 2200 | 0.0038 | - |
210
+ | 2.6533 | 2250 | 0.0006 | - |
211
+ | 2.7123 | 2300 | 0.0007 | - |
212
+ | 2.7712 | 2350 | 0.0012 | - |
213
+ | 2.8302 | 2400 | 0.0003 | - |
214
+ | 2.8892 | 2450 | 0.0127 | - |
215
+ | 2.9481 | 2500 | 0.0181 | - |
216
+ | 3.0071 | 2550 | 0.006 | - |
217
+ | 3.0660 | 2600 | 0.0006 | - |
218
+ | 3.125 | 2650 | 0.0156 | - |
219
+ | 3.1840 | 2700 | 0.0427 | - |
220
+ | 3.2429 | 2750 | 0.0004 | - |
221
+ | 3.3019 | 2800 | 0.0013 | - |
222
+ | 3.3608 | 2850 | 0.0241 | - |
223
+ | 3.4198 | 2900 | 0.0004 | - |
224
+ | 3.4788 | 2950 | 0.0048 | - |
225
+ | 3.5377 | 3000 | 0.0004 | - |
226
+ | 3.5967 | 3050 | 0.0006 | - |
227
+ | 3.6557 | 3100 | 0.0044 | - |
228
+ | 3.7146 | 3150 | 0.0142 | - |
229
+ | 3.7736 | 3200 | 0.005 | - |
230
+ | 3.8325 | 3250 | 0.0022 | - |
231
+ | 3.8915 | 3300 | 0.0033 | - |
232
+ | 3.9505 | 3350 | 0.0033 | - |
233
+ | 4.0094 | 3400 | 0.0005 | - |
234
+ | 4.0684 | 3450 | 0.0299 | - |
235
+ | 4.1274 | 3500 | 0.0172 | - |
236
+ | 4.1863 | 3550 | 0.0079 | - |
237
+ | 4.2453 | 3600 | 0.0012 | - |
238
+ | 4.3042 | 3650 | 0.0093 | - |
239
+ | 4.3632 | 3700 | 0.0175 | - |
240
+ | 4.4222 | 3750 | 0.0278 | - |
241
+ | 4.4811 | 3800 | 0.0004 | - |
242
+ | 4.5401 | 3850 | 0.0054 | - |
243
+ | 4.5991 | 3900 | 0.002 | - |
244
+ | 4.6580 | 3950 | 0.0248 | - |
245
+ | 4.7170 | 4000 | 0.0173 | - |
246
+ | 4.7759 | 4050 | 0.0004 | - |
247
+ | 4.8349 | 4100 | 0.0154 | - |
248
+ | 4.8939 | 4150 | 0.0162 | - |
249
+ | 4.9528 | 4200 | 0.0052 | - |
250
+ | 5.0118 | 4250 | 0.0142 | - |
251
+ | 5.0708 | 4300 | 0.0109 | - |
252
+ | 5.1297 | 4350 | 0.0003 | - |
253
+ | 5.1887 | 4400 | 0.0002 | - |
254
+ | 5.2476 | 4450 | 0.0003 | - |
255
+ | 5.3066 | 4500 | 0.0081 | - |
256
+ | 5.3656 | 4550 | 0.0005 | - |
257
+ | 5.4245 | 4600 | 0.0229 | - |
258
+ | 5.4835 | 4650 | 0.0002 | - |
259
+ | 5.5425 | 4700 | 0.0004 | - |
260
+ | 5.6014 | 4750 | 0.0233 | - |
261
+ | 5.6604 | 4800 | 0.0086 | - |
262
+ | 5.7193 | 4850 | 0.0084 | - |
263
+ | 5.7783 | 4900 | 0.0177 | - |
264
+ | 5.8373 | 4950 | 0.0102 | - |
265
+ | 5.8962 | 5000 | 0.017 | - |
266
+ | 5.9552 | 5050 | 0.0037 | - |
267
+ | 6.0142 | 5100 | 0.005 | - |
268
+ | 6.0731 | 5150 | 0.0002 | - |
269
+ | 6.1321 | 5200 | 0.0188 | - |
270
+ | 6.1910 | 5250 | 0.0037 | - |
271
+ | 6.25 | 5300 | 0.0003 | - |
272
+ | 6.3090 | 5350 | 0.0137 | - |
273
+ | 6.3679 | 5400 | 0.0107 | - |
274
+ | 6.4269 | 5450 | 0.0045 | - |
275
+ | 6.4858 | 5500 | 0.0002 | - |
276
+ | 6.5448 | 5550 | 0.0238 | - |
277
+ | 6.6038 | 5600 | 0.0209 | - |
278
+ | 6.6627 | 5650 | 0.0003 | - |
279
+ | 6.7217 | 5700 | 0.0002 | - |
280
+ | 6.7807 | 5750 | 0.0029 | - |
281
+ | 6.8396 | 5800 | 0.0177 | - |
282
+ | 6.8986 | 5850 | 0.0165 | - |
283
+ | 6.9575 | 5900 | 0.0045 | - |
284
+ | 7.0165 | 5950 | 0.0203 | - |
285
+ | 7.0755 | 6000 | 0.0048 | - |
286
+ | 7.1344 | 6050 | 0.0251 | - |
287
+ | 7.1934 | 6100 | 0.0147 | - |
288
+ | 7.2524 | 6150 | 0.0033 | - |
289
+ | 7.3113 | 6200 | 0.0166 | - |
290
+ | 7.3703 | 6250 | 0.0129 | - |
291
+ | 7.4292 | 6300 | 0.0169 | - |
292
+ | 7.4882 | 6350 | 0.0001 | - |
293
+ | 7.5472 | 6400 | 0.0002 | - |
294
+ | 7.6061 | 6450 | 0.0029 | - |
295
+ | 7.6651 | 6500 | 0.0264 | - |
296
+ | 7.7241 | 6550 | 0.0079 | - |
297
+ | 7.7830 | 6600 | 0.0002 | - |
298
+ | 7.8420 | 6650 | 0.0157 | - |
299
+ | 7.9009 | 6700 | 0.0116 | - |
300
+ | 7.9599 | 6750 | 0.0031 | - |
301
+ | 8.0189 | 6800 | 0.0055 | - |
302
+ | 8.0778 | 6850 | 0.0113 | - |
303
+ | 8.1368 | 6900 | 0.0004 | - |
304
+ | 8.1958 | 6950 | 0.0301 | - |
305
+ | 8.2547 | 7000 | 0.0002 | - |
306
+ | 8.3137 | 7050 | 0.0169 | - |
307
+ | 8.3726 | 7100 | 0.0001 | - |
308
+ | 8.4316 | 7150 | 0.0165 | - |
309
+ | 8.4906 | 7200 | 0.0201 | - |
310
+ | 8.5495 | 7250 | 0.0168 | - |
311
+ | 8.6085 | 7300 | 0.0197 | - |
312
+ | 8.6675 | 7350 | 0.0165 | - |
313
+ | 8.7264 | 7400 | 0.0165 | - |
314
+ | 8.7854 | 7450 | 0.0002 | - |
315
+ | 8.8443 | 7500 | 0.0134 | - |
316
+ | 8.9033 | 7550 | 0.0037 | - |
317
+ | 8.9623 | 7600 | 0.0043 | - |
318
+ | 9.0212 | 7650 | 0.0001 | - |
319
+ | 9.0802 | 7700 | 0.0034 | - |
320
+ | 9.1392 | 7750 | 0.0036 | - |
321
+ | 9.1981 | 7800 | 0.0001 | - |
322
+ | 9.2571 | 7850 | 0.0069 | - |
323
+ | 9.3160 | 7900 | 0.0304 | - |
324
+ | 9.375 | 7950 | 0.0203 | - |
325
+ | 9.4340 | 8000 | 0.0002 | - |
326
+ | 9.4929 | 8050 | 0.0002 | - |
327
+ | 9.5519 | 8100 | 0.0058 | - |
328
+ | 9.6108 | 8150 | 0.0141 | - |
329
+ | 9.6698 | 8200 | 0.0031 | - |
330
+ | 9.7288 | 8250 | 0.0169 | - |
331
+ | 9.7877 | 8300 | 0.0002 | - |
332
+ | 9.8467 | 8350 | 0.0075 | - |
333
+ | 9.9057 | 8400 | 0.0192 | - |
334
+ | 9.9646 | 8450 | 0.0588 | - |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
335
 
336
  ### Framework Versions
337
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  size 16687
 
1
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