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babysharkdododo
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setfit-all-minilm-l6-v2-malay_en_cn_sentiment_analysis

Text Classification
setfit
Safetensors
sentence-transformers
bert
generated_from_setfit_trainer
Eval Results
Model card Files Community
babysharkdododo commited on
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Add SetFit model

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Files changed (3) hide show
  1. README.md +225 -795
  2. config.json +1 -1
  3. model.safetensors +1 -1
README.md CHANGED
@@ -33,7 +33,7 @@ model-index:
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  split: test
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  metrics:
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  - type: f1
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- value: 0.596
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  name: F1
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  ---
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@@ -65,18 +65,18 @@ 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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- | negative | <ul><li>'Jikalau Ketua Pembangkang terbukti mampu melaksanakan pelan pemulihan atau menyekat penularan Covid-19, kenapa di Selangor dan Negeri Sembilan negeri yang diperintah PH kes baharu masih lagi berada pada angka yang amat tinggi, .'</li><li>"@KhairilAnuar @padangbolasepak Kawasan tangkak johor pun sama bro,kami dengan NGO besok dah nak buat sedekah tapi disebabkan tiada 'nama musibat' mereka terus tak bagi buat program ni. Surat pelepasan daripda pihak2 berwajib telah lulus.tapi disebabkan politik sampah terus program ni dibatalkan."</li><li>'@mylmhdzn @akhilHafiz @jayroslan Dia kuat maki! Haaaaaa DA? Hahaaah'</li></ul> |
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- | positive | <ul><li>'Saya memperoleh sumber bagi penulisan itu dengan banyak membaca setiap hari selain merujuk kepada akhbar, blog dan laman Facebook.'</li><li>'Pada masa sama, ada cadangan dari peringkat pimpinan pertengahan supaya diwujudkan kembali dua jawatan Timbalan Menteri Besar.'</li><li>'Terdapat 16 pusat dan institut latihan di seluruh negara, yang melahirkan lebih 1,000 orang graduan setiap tahun'</li></ul> |
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- | neutral | <ul><li>'Sesi Teknikal Sistem eMYInd bersama Kementerian Perumahan dan Kerajaan Tempatan (KPKT) sebentar tadi dipengerusika https://t.co/klumVWOOKx'</li><li>'Dinda BBW ngentot di kebun https://t.co/PdigTmtPYv'</li><li>'@IzzuddinIzaham Kalau dia notice, aku blanja hg mcD tambun'</li></ul> |
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  ## Evaluation
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  ### Metrics
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  | Label | F1 |
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  |:--------|:------|
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- | **all** | 0.596 |
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  ## Uses
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@@ -128,17 +128,17 @@ preds = model("Kebanyakan orang Cina yang kamu temui di sini akan beritahu kamu,
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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 | 16.036 | 61 |
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  | Label | Training Sample Count |
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  |:---------|:----------------------|
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- | positive | 229 |
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- | neutral | 80 |
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- | negative | 191 |
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  ### Training Hyperparameters
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- - batch_size: (16, 16)
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- - num_epochs: (4, 4)
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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)
@@ -154,788 +154,218 @@ preds = model("Kebanyakan orang Cina yang kamu temui di sini akan beritahu kamu,
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  - load_best_model_at_end: True
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  ### Training Results
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- | Epoch | Step | Training Loss | Validation Loss |
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- |:-------:|:--------:|:-------------:|:---------------:|
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- | 0.0001 | 1 | 0.3942 | - |
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- | 0.0052 | 50 | 0.2703 | - |
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- | 0.0103 | 100 | 0.3139 | - |
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- | 0.0155 | 150 | 0.4306 | - |
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- | 0.0207 | 200 | 0.3701 | - |
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- | 0.0259 | 250 | 0.3467 | - |
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- | 0.0310 | 300 | 0.3946 | - |
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- | 0.0362 | 350 | 0.4591 | - |
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- | 0.0414 | 400 | 0.4023 | - |
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- | 0.0465 | 450 | 0.2781 | - |
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- | 0.0517 | 500 | 0.3279 | - |
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- | 0.0569 | 550 | 0.2434 | - |
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- | 0.0621 | 600 | 0.4115 | - |
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- | 0.0672 | 650 | 0.2162 | - |
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- | 0.0724 | 700 | 0.3143 | - |
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- | 0.0776 | 750 | 0.2877 | - |
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- | 0.0827 | 800 | 0.3182 | - |
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- | 0.0879 | 850 | 0.3369 | - |
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- | 0.0931 | 900 | 0.3671 | - |
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- | 0.0983 | 950 | 0.2946 | - |
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- | 0.1034 | 1000 | 0.3848 | - |
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- | 0.1086 | 1050 | 0.1898 | - |
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- | 0.1138 | 1100 | 0.3107 | - |
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- | 0.1189 | 1150 | 0.3485 | - |
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- | 0.1241 | 1200 | 0.307 | - |
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- | 0.1293 | 1250 | 0.2037 | - |
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- | 0.1345 | 1300 | 0.2526 | - |
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- | 0.1396 | 1350 | 0.2103 | - |
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- | 0.1448 | 1400 | 0.1957 | - |
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- | 0.1500 | 1450 | 0.2421 | - |
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- | 0.1552 | 1500 | 0.1866 | - |
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- | 0.1603 | 1550 | 0.2449 | - |
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- | 0.1655 | 1600 | 0.1397 | - |
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- | 0.1707 | 1650 | 0.2138 | - |
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- | 0.1758 | 1700 | 0.2194 | - |
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- | 0.1810 | 1750 | 0.1307 | - |
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- | 0.1862 | 1800 | 0.1133 | - |
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- | 0.1914 | 1850 | 0.085 | - |
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- | 0.1965 | 1900 | 0.1388 | - |
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- | 0.2017 | 1950 | 0.1007 | - |
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- | 0.2069 | 2000 | 0.2414 | - |
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- | 0.2120 | 2050 | 0.0732 | - |
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- | 0.2172 | 2100 | 0.1284 | - |
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- | 0.2224 | 2150 | 0.1041 | - |
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- | 0.2276 | 2200 | 0.0407 | - |
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- | 0.2327 | 2250 | 0.1164 | - |
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- | 0.2379 | 2300 | 0.1139 | - |
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- | 0.2431 | 2350 | 0.0926 | - |
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- | 0.2482 | 2400 | 0.0169 | - |
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- | 0.2534 | 2450 | 0.0253 | - |
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- | 0.2586 | 2500 | 0.0038 | - |
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- | 0.2638 | 2550 | 0.0687 | - |
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- | 0.2689 | 2600 | 0.0106 | - |
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- | 0.2741 | 2650 | 0.0316 | - |
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- | 0.2793 | 2700 | 0.0126 | - |
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- | 0.2844 | 2750 | 0.0189 | - |
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- | 0.2896 | 2800 | 0.0176 | - |
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- | 0.2948 | 2850 | 0.0101 | - |
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- | 0.3000 | 2900 | 0.0463 | - |
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- | 0.3051 | 2950 | 0.0127 | - |
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- | 0.3103 | 3000 | 0.0813 | - |
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- | 0.3155 | 3050 | 0.0633 | - |
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- | 0.3206 | 3100 | 0.0214 | - |
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- | 0.3258 | 3150 | 0.0055 | - |
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- | 0.3310 | 3200 | 0.001 | - |
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- | 0.3362 | 3250 | 0.0039 | - |
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- | 0.3413 | 3300 | 0.0799 | - |
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- | 0.3465 | 3350 | 0.0004 | - |
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- | 0.3517 | 3400 | 0.001 | - |
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- | 0.3568 | 3450 | 0.0015 | - |
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- | 0.3620 | 3500 | 0.0595 | - |
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- | 0.3672 | 3550 | 0.0004 | - |
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- | 0.3724 | 3600 | 0.0005 | - |
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- | 0.3775 | 3650 | 0.0015 | - |
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- | 0.3827 | 3700 | 0.0002 | - |
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- | 0.3879 | 3750 | 0.0003 | - |
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- | 0.3930 | 3800 | 0.0005 | - |
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- | 0.3982 | 3850 | 0.0018 | - |
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- | 0.4034 | 3900 | 0.0004 | - |
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- | 0.4086 | 3950 | 0.0027 | - |
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- | 0.4137 | 4000 | 0.0062 | - |
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- | 0.4189 | 4050 | 0.0007 | - |
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- | 0.4241 | 4100 | 0.0002 | - |
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- | 0.4293 | 4150 | 0.0003 | - |
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- | 0.4344 | 4200 | 0.0002 | - |
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- | 0.4396 | 4250 | 0.0005 | - |
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- | 0.4448 | 4300 | 0.0002 | - |
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- | 0.4499 | 4350 | 0.0001 | - |
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- | 0.4551 | 4400 | 0.0133 | - |
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- | 0.4603 | 4450 | 0.0002 | - |
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- | 0.4655 | 4500 | 0.0004 | - |
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- | 0.4706 | 4550 | 0.0004 | - |
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- | 0.4758 | 4600 | 0.0002 | - |
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- | 0.4810 | 4650 | 0.0001 | - |
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- | 0.4861 | 4700 | 0.0002 | - |
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- | 0.4913 | 4750 | 0.0014 | - |
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- | 0.4965 | 4800 | 0.0001 | - |
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- | 0.5017 | 4850 | 0.0003 | - |
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- | 0.5068 | 4900 | 0.0004 | - |
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- | 0.5120 | 4950 | 0.0001 | - |
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- | 0.5172 | 5000 | 0.0014 | - |
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- | 0.5223 | 5050 | 0.0003 | - |
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- | 0.5275 | 5100 | 0.0004 | - |
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- | 0.5327 | 5150 | 0.0001 | - |
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- | 0.5379 | 5200 | 0.0002 | - |
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- | 0.5430 | 5250 | 0.0001 | - |
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- | 0.5482 | 5300 | 0.0002 | - |
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- | 0.5534 | 5350 | 0.0001 | - |
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- | 0.5585 | 5400 | 0.0004 | - |
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- | 0.5637 | 5450 | 0.0001 | - |
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- | 0.5689 | 5500 | 0.0001 | - |
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- | 0.5741 | 5550 | 0.0001 | - |
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- | 0.5792 | 5600 | 0.0001 | - |
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- | 0.5844 | 5650 | 0.0002 | - |
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- | 0.5896 | 5700 | 0.0002 | - |
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- | 0.5947 | 5750 | 0.0024 | - |
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- | 0.5999 | 5800 | 0.0002 | - |
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- | 0.6051 | 5850 | 0.0006 | - |
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- | 0.6103 | 5900 | 0.0002 | - |
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- | 0.6154 | 5950 | 0.0001 | - |
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- | 0.6206 | 6000 | 0.0008 | - |
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- | 0.6258 | 6050 | 0.0008 | - |
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- | 0.6309 | 6100 | 0.0001 | - |
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- | 0.6361 | 6150 | 0.0004 | - |
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- | 0.6413 | 6200 | 0.0002 | - |
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- | 0.6465 | 6250 | 0.0001 | - |
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- | 0.6516 | 6300 | 0.0004 | - |
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- | 0.6568 | 6350 | 0.0004 | - |
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- | 0.6620 | 6400 | 0.0002 | - |
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- | 0.6671 | 6450 | 0.0002 | - |
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- | 0.6723 | 6500 | 0.0002 | - |
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- | 0.6775 | 6550 | 0.0013 | - |
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- | 0.6827 | 6600 | 0.0002 | - |
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- | 0.6878 | 6650 | 0.0003 | - |
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- | 0.6930 | 6700 | 0.0001 | - |
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- | 0.6982 | 6750 | 0.0001 | - |
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- | 0.7034 | 6800 | 0.0001 | - |
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- | 0.7085 | 6850 | 0.0001 | - |
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- | 0.7137 | 6900 | 0.0001 | - |
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- | 0.7189 | 6950 | 0.0001 | - |
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- | 0.7240 | 7000 | 0.0001 | - |
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- | 0.7292 | 7050 | 0.0001 | - |
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- | 0.7344 | 7100 | 0.0001 | - |
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- | 0.7396 | 7150 | 0.0001 | - |
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- | 0.7447 | 7200 | 0.0 | - |
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- | 0.7499 | 7250 | 0.0001 | - |
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- | 0.7551 | 7300 | 0.0001 | - |
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- | 0.7602 | 7350 | 0.0001 | - |
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- | 0.7654 | 7400 | 0.0 | - |
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- | 0.7706 | 7450 | 0.0 | - |
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- | 0.7758 | 7500 | 0.0001 | - |
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- | 0.7809 | 7550 | 0.0001 | - |
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- | 0.7861 | 7600 | 0.0001 | - |
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- | 0.7913 | 7650 | 0.0001 | - |
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- | 0.7964 | 7700 | 0.0 | - |
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- | 0.8016 | 7750 | 0.0001 | - |
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- | 0.8068 | 7800 | 0.0001 | - |
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- | 0.8120 | 7850 | 0.0001 | - |
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- | 0.8171 | 7900 | 0.0001 | - |
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- | 0.8223 | 7950 | 0.0001 | - |
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- | 0.8275 | 8000 | 0.0 | - |
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- | 0.8326 | 8050 | 0.0002 | - |
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- | 0.8378 | 8100 | 0.0002 | - |
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- | 0.8430 | 8150 | 0.0001 | - |
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- | 0.8482 | 8200 | 0.0003 | - |
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- | 0.8533 | 8250 | 0.0 | - |
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- | 0.8585 | 8300 | 0.0001 | - |
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- | 0.8637 | 8350 | 0.0 | - |
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- | 0.8688 | 8400 | 0.0001 | - |
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- | 0.8740 | 8450 | 0.0001 | - |
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- | 0.8792 | 8500 | 0.0001 | - |
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- | 0.8844 | 8550 | 0.0001 | - |
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- | 0.8895 | 8600 | 0.0 | - |
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- | 0.8947 | 8650 | 0.0 | - |
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- | 0.8999 | 8700 | 0.0 | - |
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- | 0.9050 | 8750 | 0.0001 | - |
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- | 0.9102 | 8800 | 0.0 | - |
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- | 0.9154 | 8850 | 0.0001 | - |
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- | 0.9206 | 8900 | 0.0 | - |
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- | 0.9257 | 8950 | 0.0615 | - |
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- | 0.9309 | 9000 | 0.0001 | - |
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- | 0.9361 | 9050 | 0.0 | - |
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- | 0.9412 | 9100 | 0.0016 | - |
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- | 0.9464 | 9150 | 0.0002 | - |
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- | 0.9516 | 9200 | 0.0 | - |
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- | 0.9568 | 9250 | 0.0001 | - |
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- | 0.9619 | 9300 | 0.0007 | - |
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- | 0.9671 | 9350 | 0.0001 | - |
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- | 0.9723 | 9400 | 0.0001 | - |
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- | 0.9775 | 9450 | 0.0 | - |
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- | 0.9826 | 9500 | 0.0 | - |
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- | 0.9878 | 9550 | 0.0007 | - |
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- | 0.9930 | 9600 | 0.0001 | - |
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- | 0.9981 | 9650 | 0.0 | - |
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- | **1.0** | **9668** | **-** | **0.3926** |
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- | 1.0033 | 9700 | 0.0006 | - |
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- | 1.0085 | 9750 | 0.0 | - |
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- | 1.0137 | 9800 | 0.0 | - |
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- | 1.0188 | 9850 | 0.0 | - |
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- | 1.0240 | 9900 | 0.0 | - |
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- | 1.0292 | 9950 | 0.0 | - |
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- | 1.0343 | 10000 | 0.0 | - |
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- | 1.0395 | 10050 | 0.0001 | - |
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- | 1.0447 | 10100 | 0.0 | - |
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- | 1.0499 | 10150 | 0.0001 | - |
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- | 1.0550 | 10200 | 0.0 | - |
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- | 1.0602 | 10250 | 0.0001 | - |
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- | 1.0654 | 10300 | 0.0 | - |
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- | 1.0705 | 10350 | 0.0 | - |
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- | 1.0757 | 10400 | 0.0 | - |
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- | 1.0809 | 10450 | 0.0 | - |
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- | 1.0861 | 10500 | 0.0 | - |
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- | 1.0912 | 10550 | 0.0 | - |
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- | 1.0964 | 10600 | 0.0 | - |
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- | 1.1016 | 10650 | 0.0 | - |
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- | 1.1067 | 10700 | 0.0 | - |
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- | 1.1119 | 10750 | 0.0 | - |
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- | 1.1171 | 10800 | 0.0001 | - |
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- | 1.1223 | 10850 | 0.0 | - |
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- | 1.1274 | 10900 | 0.0 | - |
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- | 1.1326 | 10950 | 0.0542 | - |
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- | 1.1378 | 11000 | 0.0 | - |
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- | 1.1429 | 11050 | 0.0 | - |
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- | 1.1481 | 11100 | 0.0002 | - |
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- | 1.1533 | 11150 | 0.0001 | - |
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- | 1.1585 | 11200 | 0.0 | - |
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- | 1.1636 | 11250 | 0.0 | - |
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- | 1.1688 | 11300 | 0.0 | - |
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- | 1.1740 | 11350 | 0.0 | - |
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- | 1.1791 | 11400 | 0.0004 | - |
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- | 1.1843 | 11450 | 0.0 | - |
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- | 1.1895 | 11500 | 0.0 | - |
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- | 1.1947 | 11550 | 0.0 | - |
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- | 1.1998 | 11600 | 0.0 | - |
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- | 1.2050 | 11650 | 0.0 | - |
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- | 1.2102 | 11700 | 0.0 | - |
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- | 1.2153 | 11750 | 0.0 | - |
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- | 1.2205 | 11800 | 0.0001 | - |
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- | 1.2257 | 11850 | 0.0 | - |
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- | 1.2309 | 11900 | 0.0 | - |
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- | 1.2360 | 11950 | 0.0 | - |
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- | 1.2412 | 12000 | 0.0 | - |
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- | 1.2464 | 12050 | 0.0 | - |
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- | 1.2516 | 12100 | 0.0 | - |
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- | 1.2567 | 12150 | 0.0 | - |
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- | 1.2619 | 12200 | 0.0 | - |
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- | 1.2671 | 12250 | 0.0 | - |
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- | 1.2722 | 12300 | 0.0 | - |
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- | 1.2774 | 12350 | 0.0 | - |
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- | 1.2826 | 12400 | 0.0 | - |
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- | 1.2878 | 12450 | 0.0 | - |
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- | 1.2929 | 12500 | 0.0 | - |
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- | 1.2981 | 12550 | 0.0 | - |
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- | 1.3033 | 12600 | 0.0 | - |
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- | 1.3084 | 12650 | 0.0 | - |
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- | 1.3136 | 12700 | 0.0 | - |
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- | 1.3188 | 12750 | 0.0 | - |
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- | 1.3240 | 12800 | 0.0003 | - |
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- | 1.3291 | 12850 | 0.0001 | - |
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- | 1.3343 | 12900 | 0.0 | - |
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- | 1.3395 | 12950 | 0.0 | - |
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- | 1.3446 | 13000 | 0.0 | - |
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- | 1.3498 | 13050 | 0.0 | - |
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- | 1.3550 | 13100 | 0.0 | - |
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- | 1.3602 | 13150 | 0.0 | - |
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- | 1.3653 | 13200 | 0.0 | - |
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- | 1.3705 | 13250 | 0.0 | - |
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- | 1.3757 | 13300 | 0.0 | - |
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- | 1.3808 | 13350 | 0.0 | - |
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- | 1.3860 | 13400 | 0.0 | - |
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- | 1.3912 | 13450 | 0.0 | - |
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- | 1.3964 | 13500 | 0.0 | - |
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- | 1.4015 | 13550 | 0.0 | - |
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- | 1.4067 | 13600 | 0.0 | - |
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- | 1.4119 | 13650 | 0.0 | - |
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- | 1.4170 | 13700 | 0.0 | - |
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- | 1.4222 | 13750 | 0.0 | - |
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- | 1.4274 | 13800 | 0.0 | - |
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- | 1.4326 | 13850 | 0.0 | - |
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- | 1.4377 | 13900 | 0.0 | - |
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- | 1.4429 | 13950 | 0.0 | - |
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- | 1.4481 | 14000 | 0.0 | - |
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- | 1.4532 | 14050 | 0.0 | - |
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- | 1.4584 | 14100 | 0.0 | - |
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- | 1.4636 | 14150 | 0.0 | - |
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- | 1.4688 | 14200 | 0.0 | - |
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- | 1.4739 | 14250 | 0.0 | - |
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- | 1.4791 | 14300 | 0.0 | - |
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- | 1.4843 | 14350 | 0.0001 | - |
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- | 1.4894 | 14400 | 0.0013 | - |
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- | 1.4946 | 14450 | 0.0001 | - |
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- | 1.4998 | 14500 | 0.0 | - |
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- | 1.5050 | 14550 | 0.0 | - |
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- | 1.5101 | 14600 | 0.0 | - |
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- | 1.5153 | 14650 | 0.0 | - |
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- | 1.5205 | 14700 | 0.0 | - |
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- | 1.5257 | 14750 | 0.0 | - |
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- | 1.5308 | 14800 | 0.0 | - |
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- | 1.5567 | 15050 | 0.0 | - |
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- | 1.5619 | 15100 | 0.0 | - |
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- | 1.5670 | 15150 | 0.0001 | - |
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- | 1.5722 | 15200 | 0.0 | - |
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- | 1.5825 | 15300 | 0.0 | - |
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- | 1.5877 | 15350 | 0.0 | - |
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- | 1.5929 | 15400 | 0.0 | - |
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- | 1.5981 | 15450 | 0.0 | - |
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- | 1.6032 | 15500 | 0.0 | - |
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- | 1.6084 | 15550 | 0.0 | - |
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- | 1.6136 | 15600 | 0.0 | - |
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- | 1.6187 | 15650 | 0.0 | - |
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- | 1.6239 | 15700 | 0.0 | - |
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- | 1.6343 | 15800 | 0.0 | - |
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- | 1.6394 | 15850 | 0.0 | - |
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- | 1.6446 | 15900 | 0.0001 | - |
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- | 1.6498 | 15950 | 0.0 | - |
480
- | 1.6549 | 16000 | 0.0 | - |
481
- | 1.6601 | 16050 | 0.0 | - |
482
- | 1.6653 | 16100 | 0.0008 | - |
483
- | 1.6705 | 16150 | 0.0 | - |
484
- | 1.6756 | 16200 | 0.0 | - |
485
- | 1.6808 | 16250 | 0.0 | - |
486
- | 1.6860 | 16300 | 0.0 | - |
487
- | 1.6911 | 16350 | 0.0 | - |
488
- | 1.6963 | 16400 | 0.0 | - |
489
- | 1.7015 | 16450 | 0.0 | - |
490
- | 1.7067 | 16500 | 0.0 | - |
491
- | 1.7118 | 16550 | 0.0 | - |
492
- | 1.7170 | 16600 | 0.0 | - |
493
- | 1.7222 | 16650 | 0.0 | - |
494
- | 1.7273 | 16700 | 0.0 | - |
495
- | 1.7325 | 16750 | 0.0 | - |
496
- | 1.7377 | 16800 | 0.0 | - |
497
- | 1.7429 | 16850 | 0.0 | - |
498
- | 1.7480 | 16900 | 0.0 | - |
499
- | 1.7532 | 16950 | 0.0 | - |
500
- | 1.7584 | 17000 | 0.0 | - |
501
- | 1.7635 | 17050 | 0.0 | - |
502
- | 1.7687 | 17100 | 0.0 | - |
503
- | 1.7739 | 17150 | 0.0 | - |
504
- | 1.7791 | 17200 | 0.0 | - |
505
- | 1.7842 | 17250 | 0.0 | - |
506
- | 1.7894 | 17300 | 0.0 | - |
507
- | 1.7946 | 17350 | 0.0 | - |
508
- | 1.7998 | 17400 | 0.0 | - |
509
- | 1.8049 | 17450 | 0.0 | - |
510
- | 1.8101 | 17500 | 0.0 | - |
511
- | 1.8153 | 17550 | 0.0 | - |
512
- | 1.8204 | 17600 | 0.0 | - |
513
- | 1.8256 | 17650 | 0.0 | - |
514
- | 1.8308 | 17700 | 0.0 | - |
515
- | 1.8360 | 17750 | 0.0 | - |
516
- | 1.8411 | 17800 | 0.0 | - |
517
- | 1.8463 | 17850 | 0.0 | - |
518
- | 1.8515 | 17900 | 0.0 | - |
519
- | 1.8566 | 17950 | 0.0 | - |
520
- | 1.8618 | 18000 | 0.0 | - |
521
- | 1.8670 | 18050 | 0.0 | - |
522
- | 1.8722 | 18100 | 0.0 | - |
523
- | 1.8773 | 18150 | 0.0 | - |
524
- | 1.8825 | 18200 | 0.0 | - |
525
- | 1.8877 | 18250 | 0.0 | - |
526
- | 1.8928 | 18300 | 0.0 | - |
527
- | 1.8980 | 18350 | 0.0 | - |
528
- | 1.9032 | 18400 | 0.0 | - |
529
- | 1.9084 | 18450 | 0.0 | - |
530
- | 1.9135 | 18500 | 0.0 | - |
531
- | 1.9187 | 18550 | 0.0 | - |
532
- | 1.9239 | 18600 | 0.0 | - |
533
- | 1.9290 | 18650 | 0.0 | - |
534
- | 1.9342 | 18700 | 0.0 | - |
535
- | 1.9394 | 18750 | 0.0 | - |
536
- | 1.9446 | 18800 | 0.0 | - |
537
- | 1.9497 | 18850 | 0.0 | - |
538
- | 1.9549 | 18900 | 0.0 | - |
539
- | 1.9601 | 18950 | 0.0 | - |
540
- | 1.9652 | 19000 | 0.0 | - |
541
- | 1.9704 | 19050 | 0.0 | - |
542
- | 1.9756 | 19100 | 0.0 | - |
543
- | 1.9808 | 19150 | 0.0 | - |
544
- | 1.9859 | 19200 | 0.0 | - |
545
- | 1.9911 | 19250 | 0.0 | - |
546
- | 1.9963 | 19300 | 0.0 | - |
547
- | 2.0 | 19336 | - | 0.4039 |
548
- | 2.0014 | 19350 | 0.0 | - |
549
- | 2.0066 | 19400 | 0.0 | - |
550
- | 2.0118 | 19450 | 0.0 | - |
551
- | 2.0170 | 19500 | 0.0 | - |
552
- | 2.0221 | 19550 | 0.0 | - |
553
- | 2.0273 | 19600 | 0.0 | - |
554
- | 2.0325 | 19650 | 0.0 | - |
555
- | 2.0376 | 19700 | 0.0 | - |
556
- | 2.0428 | 19750 | 0.0 | - |
557
- | 2.0480 | 19800 | 0.0 | - |
558
- | 2.0532 | 19850 | 0.0 | - |
559
- | 2.0583 | 19900 | 0.0 | - |
560
- | 2.0635 | 19950 | 0.0 | - |
561
- | 2.0687 | 20000 | 0.0 | - |
562
- | 2.0739 | 20050 | 0.0 | - |
563
- | 2.0790 | 20100 | 0.0 | - |
564
- | 2.0842 | 20150 | 0.0 | - |
565
- | 2.0894 | 20200 | 0.0 | - |
566
- | 2.0945 | 20250 | 0.0 | - |
567
- | 2.0997 | 20300 | 0.0 | - |
568
- | 2.1049 | 20350 | 0.0 | - |
569
- | 2.1101 | 20400 | 0.0 | - |
570
- | 2.1152 | 20450 | 0.0 | - |
571
- | 2.1204 | 20500 | 0.0 | - |
572
- | 2.1256 | 20550 | 0.0 | - |
573
- | 2.1307 | 20600 | 0.0 | - |
574
- | 2.1359 | 20650 | 0.0 | - |
575
- | 2.1411 | 20700 | 0.0 | - |
576
- | 2.1463 | 20750 | 0.0 | - |
577
- | 2.1514 | 20800 | 0.0 | - |
578
- | 2.1566 | 20850 | 0.0 | - |
579
- | 2.1618 | 20900 | 0.0 | - |
580
- | 2.1669 | 20950 | 0.0 | - |
581
- | 2.1721 | 21000 | 0.0 | - |
582
- | 2.1773 | 21050 | 0.0 | - |
583
- | 2.1825 | 21100 | 0.0 | - |
584
- | 2.1876 | 21150 | 0.0 | - |
585
- | 2.1928 | 21200 | 0.0 | - |
586
- | 2.1980 | 21250 | 0.0 | - |
587
- | 2.2031 | 21300 | 0.0 | - |
588
- | 2.2083 | 21350 | 0.0 | - |
589
- | 2.2135 | 21400 | 0.0 | - |
590
- | 2.2187 | 21450 | 0.0 | - |
591
- | 2.2238 | 21500 | 0.0 | - |
592
- | 2.2290 | 21550 | 0.0 | - |
593
- | 2.2342 | 21600 | 0.0 | - |
594
- | 2.2393 | 21650 | 0.0 | - |
595
- | 2.2445 | 21700 | 0.0002 | - |
596
- | 2.2497 | 21750 | 0.0 | - |
597
- | 2.2549 | 21800 | 0.0 | - |
598
- | 2.2600 | 21850 | 0.0 | - |
599
- | 2.2652 | 21900 | 0.0 | - |
600
- | 2.2704 | 21950 | 0.0455 | - |
601
- | 2.2755 | 22000 | 0.0 | - |
602
- | 2.2807 | 22050 | 0.0 | - |
603
- | 2.2859 | 22100 | 0.0 | - |
604
- | 2.2911 | 22150 | 0.0 | - |
605
- | 2.2962 | 22200 | 0.0 | - |
606
- | 2.3014 | 22250 | 0.0 | - |
607
- | 2.3066 | 22300 | 0.0 | - |
608
- | 2.3118 | 22350 | 0.0 | - |
609
- | 2.3169 | 22400 | 0.0 | - |
610
- | 2.3221 | 22450 | 0.0 | - |
611
- | 2.3273 | 22500 | 0.0 | - |
612
- | 2.3324 | 22550 | 0.0 | - |
613
- | 2.3376 | 22600 | 0.0 | - |
614
- | 2.3428 | 22650 | 0.0 | - |
615
- | 2.3480 | 22700 | 0.0 | - |
616
- | 2.3531 | 22750 | 0.0 | - |
617
- | 2.3583 | 22800 | 0.0 | - |
618
- | 2.3635 | 22850 | 0.0 | - |
619
- | 2.3686 | 22900 | 0.0 | - |
620
- | 2.3738 | 22950 | 0.0 | - |
621
- | 2.3790 | 23000 | 0.0 | - |
622
- | 2.3842 | 23050 | 0.0 | - |
623
- | 2.3893 | 23100 | 0.0 | - |
624
- | 2.3945 | 23150 | 0.0 | - |
625
- | 2.3997 | 23200 | 0.0 | - |
626
- | 2.4048 | 23250 | 0.0 | - |
627
- | 2.4100 | 23300 | 0.0 | - |
628
- | 2.4152 | 23350 | 0.0 | - |
629
- | 2.4204 | 23400 | 0.0 | - |
630
- | 2.4255 | 23450 | 0.0 | - |
631
- | 2.4307 | 23500 | 0.0 | - |
632
- | 2.4359 | 23550 | 0.0 | - |
633
- | 2.4410 | 23600 | 0.0 | - |
634
- | 2.4462 | 23650 | 0.0 | - |
635
- | 2.4514 | 23700 | 0.0 | - |
636
- | 2.4566 | 23750 | 0.0 | - |
637
- | 2.4617 | 23800 | 0.0 | - |
638
- | 2.4669 | 23850 | 0.0 | - |
639
- | 2.4721 | 23900 | 0.0 | - |
640
- | 2.4772 | 23950 | 0.0 | - |
641
- | 2.4824 | 24000 | 0.0 | - |
642
- | 2.4876 | 24050 | 0.0 | - |
643
- | 2.4928 | 24100 | 0.0 | - |
644
- | 2.4979 | 24150 | 0.0 | - |
645
- | 2.5031 | 24200 | 0.0 | - |
646
- | 2.5083 | 24250 | 0.0 | - |
647
- | 2.5134 | 24300 | 0.0 | - |
648
- | 2.5186 | 24350 | 0.0 | - |
649
- | 2.5238 | 24400 | 0.0 | - |
650
- | 2.5290 | 24450 | 0.0 | - |
651
- | 2.5341 | 24500 | 0.0 | - |
652
- | 2.5393 | 24550 | 0.0 | - |
653
- | 2.5445 | 24600 | 0.0 | - |
654
- | 2.5496 | 24650 | 0.0 | - |
655
- | 2.5548 | 24700 | 0.0 | - |
656
- | 2.5600 | 24750 | 0.0 | - |
657
- | 2.5652 | 24800 | 0.0 | - |
658
- | 2.5703 | 24850 | 0.0 | - |
659
- | 2.5755 | 24900 | 0.0 | - |
660
- | 2.5807 | 24950 | 0.0 | - |
661
- | 2.5859 | 25000 | 0.0 | - |
662
- | 2.5910 | 25050 | 0.0 | - |
663
- | 2.5962 | 25100 | 0.0 | - |
664
- | 2.6014 | 25150 | 0.0 | - |
665
- | 2.6065 | 25200 | 0.0 | - |
666
- | 2.6117 | 25250 | 0.0 | - |
667
- | 2.6169 | 25300 | 0.0 | - |
668
- | 2.6221 | 25350 | 0.0 | - |
669
- | 2.6272 | 25400 | 0.0 | - |
670
- | 2.6324 | 25450 | 0.0 | - |
671
- | 2.6376 | 25500 | 0.0 | - |
672
- | 2.6427 | 25550 | 0.0 | - |
673
- | 2.6479 | 25600 | 0.0 | - |
674
- | 2.6531 | 25650 | 0.0 | - |
675
- | 2.6583 | 25700 | 0.0 | - |
676
- | 2.6634 | 25750 | 0.0 | - |
677
- | 2.6686 | 25800 | 0.0 | - |
678
- | 2.6738 | 25850 | 0.0 | - |
679
- | 2.6789 | 25900 | 0.0 | - |
680
- | 2.6841 | 25950 | 0.0 | - |
681
- | 2.6893 | 26000 | 0.0 | - |
682
- | 2.6945 | 26050 | 0.0 | - |
683
- | 2.6996 | 26100 | 0.0 | - |
684
- | 2.7048 | 26150 | 0.0 | - |
685
- | 2.7100 | 26200 | 0.0 | - |
686
- | 2.7151 | 26250 | 0.0 | - |
687
- | 2.7203 | 26300 | 0.0 | - |
688
- | 2.7255 | 26350 | 0.0 | - |
689
- | 2.7307 | 26400 | 0.0 | - |
690
- | 2.7358 | 26450 | 0.0 | - |
691
- | 2.7410 | 26500 | 0.0 | - |
692
- | 2.7462 | 26550 | 0.0 | - |
693
- | 2.7513 | 26600 | 0.0 | - |
694
- | 2.7565 | 26650 | 0.0 | - |
695
- | 2.7617 | 26700 | 0.0 | - |
696
- | 2.7669 | 26750 | 0.0 | - |
697
- | 2.7720 | 26800 | 0.0 | - |
698
- | 2.7772 | 26850 | 0.0 | - |
699
- | 2.7824 | 26900 | 0.0007 | - |
700
- | 2.7875 | 26950 | 0.0 | - |
701
- | 2.7927 | 27000 | 0.0 | - |
702
- | 2.7979 | 27050 | 0.0 | - |
703
- | 2.8031 | 27100 | 0.0 | - |
704
- | 2.8082 | 27150 | 0.0 | - |
705
- | 2.8134 | 27200 | 0.0 | - |
706
- | 2.8186 | 27250 | 0.0 | - |
707
- | 2.8237 | 27300 | 0.0 | - |
708
- | 2.8289 | 27350 | 0.0 | - |
709
- | 2.8341 | 27400 | 0.0 | - |
710
- | 2.8393 | 27450 | 0.0 | - |
711
- | 2.8444 | 27500 | 0.0 | - |
712
- | 2.8496 | 27550 | 0.0 | - |
713
- | 2.8548 | 27600 | 0.0 | - |
714
- | 2.8600 | 27650 | 0.0 | - |
715
- | 2.8651 | 27700 | 0.0 | - |
716
- | 2.8703 | 27750 | 0.0 | - |
717
- | 2.8755 | 27800 | 0.0 | - |
718
- | 2.8806 | 27850 | 0.0 | - |
719
- | 2.8858 | 27900 | 0.0 | - |
720
- | 2.8910 | 27950 | 0.0 | - |
721
- | 2.8962 | 28000 | 0.0 | - |
722
- | 2.9013 | 28050 | 0.0 | - |
723
- | 2.9065 | 28100 | 0.0 | - |
724
- | 2.9117 | 28150 | 0.0 | - |
725
- | 2.9168 | 28200 | 0.0 | - |
726
- | 2.9220 | 28250 | 0.0 | - |
727
- | 2.9272 | 28300 | 0.0 | - |
728
- | 2.9324 | 28350 | 0.0 | - |
729
- | 2.9375 | 28400 | 0.0 | - |
730
- | 2.9427 | 28450 | 0.0 | - |
731
- | 2.9479 | 28500 | 0.0 | - |
732
- | 2.9530 | 28550 | 0.0 | - |
733
- | 2.9582 | 28600 | 0.0 | - |
734
- | 2.9634 | 28650 | 0.0 | - |
735
- | 2.9686 | 28700 | 0.0 | - |
736
- | 2.9737 | 28750 | 0.0 | - |
737
- | 2.9789 | 28800 | 0.0 | - |
738
- | 2.9841 | 28850 | 0.0 | - |
739
- | 2.9892 | 28900 | 0.0 | - |
740
- | 2.9944 | 28950 | 0.0 | - |
741
- | 2.9996 | 29000 | 0.0 | - |
742
- | 3.0 | 29004 | - | 0.4006 |
743
- | 3.0048 | 29050 | 0.0 | - |
744
- | 3.0099 | 29100 | 0.0 | - |
745
- | 3.0151 | 29150 | 0.0 | - |
746
- | 3.0203 | 29200 | 0.0 | - |
747
- | 3.0254 | 29250 | 0.0 | - |
748
- | 3.0306 | 29300 | 0.0 | - |
749
- | 3.0358 | 29350 | 0.0 | - |
750
- | 3.0410 | 29400 | 0.0 | - |
751
- | 3.0461 | 29450 | 0.0 | - |
752
- | 3.0513 | 29500 | 0.0 | - |
753
- | 3.0565 | 29550 | 0.0 | - |
754
- | 3.0616 | 29600 | 0.0 | - |
755
- | 3.0668 | 29650 | 0.0 | - |
756
- | 3.0720 | 29700 | 0.0 | - |
757
- | 3.0772 | 29750 | 0.0 | - |
758
- | 3.0823 | 29800 | 0.0 | - |
759
- | 3.0875 | 29850 | 0.0 | - |
760
- | 3.0927 | 29900 | 0.0 | - |
761
- | 3.0978 | 29950 | 0.0 | - |
762
- | 3.1030 | 30000 | 0.0 | - |
763
- | 3.1082 | 30050 | 0.0 | - |
764
- | 3.1134 | 30100 | 0.0 | - |
765
- | 3.1185 | 30150 | 0.0 | - |
766
- | 3.1237 | 30200 | 0.0 | - |
767
- | 3.1289 | 30250 | 0.0 | - |
768
- | 3.1341 | 30300 | 0.0 | - |
769
- | 3.1392 | 30350 | 0.0 | - |
770
- | 3.1444 | 30400 | 0.0 | - |
771
- | 3.1496 | 30450 | 0.0 | - |
772
- | 3.1547 | 30500 | 0.0 | - |
773
- | 3.1599 | 30550 | 0.0 | - |
774
- | 3.1651 | 30600 | 0.0 | - |
775
- | 3.1703 | 30650 | 0.0 | - |
776
- | 3.1754 | 30700 | 0.0 | - |
777
- | 3.1806 | 30750 | 0.0 | - |
778
- | 3.1858 | 30800 | 0.0 | - |
779
- | 3.1909 | 30850 | 0.0 | - |
780
- | 3.1961 | 30900 | 0.0 | - |
781
- | 3.2013 | 30950 | 0.0 | - |
782
- | 3.2065 | 31000 | 0.0 | - |
783
- | 3.2116 | 31050 | 0.0 | - |
784
- | 3.2168 | 31100 | 0.0 | - |
785
- | 3.2220 | 31150 | 0.0 | - |
786
- | 3.2271 | 31200 | 0.0 | - |
787
- | 3.2323 | 31250 | 0.0 | - |
788
- | 3.2375 | 31300 | 0.0 | - |
789
- | 3.2427 | 31350 | 0.0 | - |
790
- | 3.2478 | 31400 | 0.0 | - |
791
- | 3.2530 | 31450 | 0.0 | - |
792
- | 3.2582 | 31500 | 0.0 | - |
793
- | 3.2633 | 31550 | 0.0 | - |
794
- | 3.2685 | 31600 | 0.0 | - |
795
- | 3.2737 | 31650 | 0.0 | - |
796
- | 3.2789 | 31700 | 0.0 | - |
797
- | 3.2840 | 31750 | 0.0 | - |
798
- | 3.2892 | 31800 | 0.0 | - |
799
- | 3.2944 | 31850 | 0.0 | - |
800
- | 3.2995 | 31900 | 0.0 | - |
801
- | 3.3047 | 31950 | 0.0 | - |
802
- | 3.3099 | 32000 | 0.0 | - |
803
- | 3.3151 | 32050 | 0.0 | - |
804
- | 3.3202 | 32100 | 0.0 | - |
805
- | 3.3254 | 32150 | 0.0 | - |
806
- | 3.3306 | 32200 | 0.0 | - |
807
- | 3.3357 | 32250 | 0.0 | - |
808
- | 3.3409 | 32300 | 0.0 | - |
809
- | 3.3461 | 32350 | 0.0 | - |
810
- | 3.3513 | 32400 | 0.0 | - |
811
- | 3.3564 | 32450 | 0.0 | - |
812
- | 3.3616 | 32500 | 0.0 | - |
813
- | 3.3668 | 32550 | 0.0 | - |
814
- | 3.3719 | 32600 | 0.0 | - |
815
- | 3.3771 | 32650 | 0.0 | - |
816
- | 3.3823 | 32700 | 0.0 | - |
817
- | 3.3875 | 32750 | 0.0 | - |
818
- | 3.3926 | 32800 | 0.0 | - |
819
- | 3.3978 | 32850 | 0.0 | - |
820
- | 3.4030 | 32900 | 0.0 | - |
821
- | 3.4082 | 32950 | 0.0 | - |
822
- | 3.4133 | 33000 | 0.0 | - |
823
- | 3.4185 | 33050 | 0.0 | - |
824
- | 3.4237 | 33100 | 0.0 | - |
825
- | 3.4288 | 33150 | 0.0 | - |
826
- | 3.4340 | 33200 | 0.0 | - |
827
- | 3.4392 | 33250 | 0.0 | - |
828
- | 3.4444 | 33300 | 0.0 | - |
829
- | 3.4495 | 33350 | 0.0 | - |
830
- | 3.4547 | 33400 | 0.0 | - |
831
- | 3.4599 | 33450 | 0.0 | - |
832
- | 3.4650 | 33500 | 0.0 | - |
833
- | 3.4702 | 33550 | 0.0 | - |
834
- | 3.4754 | 33600 | 0.0 | - |
835
- | 3.4806 | 33650 | 0.0 | - |
836
- | 3.4857 | 33700 | 0.0 | - |
837
- | 3.4909 | 33750 | 0.0 | - |
838
- | 3.4961 | 33800 | 0.0 | - |
839
- | 3.5012 | 33850 | 0.0 | - |
840
- | 3.5064 | 33900 | 0.0 | - |
841
- | 3.5116 | 33950 | 0.0 | - |
842
- | 3.5168 | 34000 | 0.0 | - |
843
- | 3.5219 | 34050 | 0.0 | - |
844
- | 3.5271 | 34100 | 0.0 | - |
845
- | 3.5323 | 34150 | 0.0 | - |
846
- | 3.5374 | 34200 | 0.0 | - |
847
- | 3.5426 | 34250 | 0.0 | - |
848
- | 3.5478 | 34300 | 0.0 | - |
849
- | 3.5530 | 34350 | 0.0 | - |
850
- | 3.5581 | 34400 | 0.0 | - |
851
- | 3.5633 | 34450 | 0.0 | - |
852
- | 3.5685 | 34500 | 0.0 | - |
853
- | 3.5736 | 34550 | 0.0 | - |
854
- | 3.5788 | 34600 | 0.0 | - |
855
- | 3.5840 | 34650 | 0.0 | - |
856
- | 3.5892 | 34700 | 0.0 | - |
857
- | 3.5943 | 34750 | 0.0 | - |
858
- | 3.5995 | 34800 | 0.0 | - |
859
- | 3.6047 | 34850 | 0.0 | - |
860
- | 3.6098 | 34900 | 0.0 | - |
861
- | 3.6150 | 34950 | 0.0 | - |
862
- | 3.6202 | 35000 | 0.0 | - |
863
- | 3.6254 | 35050 | 0.0 | - |
864
- | 3.6305 | 35100 | 0.0 | - |
865
- | 3.6357 | 35150 | 0.0 | - |
866
- | 3.6409 | 35200 | 0.0 | - |
867
- | 3.6460 | 35250 | 0.0 | - |
868
- | 3.6512 | 35300 | 0.0 | - |
869
- | 3.6564 | 35350 | 0.0 | - |
870
- | 3.6616 | 35400 | 0.0 | - |
871
- | 3.6667 | 35450 | 0.0 | - |
872
- | 3.6719 | 35500 | 0.0 | - |
873
- | 3.6771 | 35550 | 0.0 | - |
874
- | 3.6823 | 35600 | 0.0 | - |
875
- | 3.6874 | 35650 | 0.0 | - |
876
- | 3.6926 | 35700 | 0.0 | - |
877
- | 3.6978 | 35750 | 0.0 | - |
878
- | 3.7029 | 35800 | 0.0 | - |
879
- | 3.7081 | 35850 | 0.0 | - |
880
- | 3.7133 | 35900 | 0.0 | - |
881
- | 3.7185 | 35950 | 0.0 | - |
882
- | 3.7236 | 36000 | 0.0 | - |
883
- | 3.7288 | 36050 | 0.0 | - |
884
- | 3.7340 | 36100 | 0.0 | - |
885
- | 3.7391 | 36150 | 0.0 | - |
886
- | 3.7443 | 36200 | 0.0 | - |
887
- | 3.7495 | 36250 | 0.0 | - |
888
- | 3.7547 | 36300 | 0.0 | - |
889
- | 3.7598 | 36350 | 0.0 | - |
890
- | 3.7650 | 36400 | 0.0 | - |
891
- | 3.7702 | 36450 | 0.0 | - |
892
- | 3.7753 | 36500 | 0.0 | - |
893
- | 3.7805 | 36550 | 0.0 | - |
894
- | 3.7857 | 36600 | 0.0 | - |
895
- | 3.7909 | 36650 | 0.0 | - |
896
- | 3.7960 | 36700 | 0.0 | - |
897
- | 3.8012 | 36750 | 0.0 | - |
898
- | 3.8064 | 36800 | 0.0 | - |
899
- | 3.8115 | 36850 | 0.0 | - |
900
- | 3.8167 | 36900 | 0.0 | - |
901
- | 3.8219 | 36950 | 0.0 | - |
902
- | 3.8271 | 37000 | 0.0 | - |
903
- | 3.8322 | 37050 | 0.0 | - |
904
- | 3.8374 | 37100 | 0.0 | - |
905
- | 3.8426 | 37150 | 0.0 | - |
906
- | 3.8477 | 37200 | 0.0 | - |
907
- | 3.8529 | 37250 | 0.0 | - |
908
- | 3.8581 | 37300 | 0.0 | - |
909
- | 3.8633 | 37350 | 0.0 | - |
910
- | 3.8684 | 37400 | 0.0 | - |
911
- | 3.8736 | 37450 | 0.0 | - |
912
- | 3.8788 | 37500 | 0.0 | - |
913
- | 3.8839 | 37550 | 0.0 | - |
914
- | 3.8891 | 37600 | 0.0 | - |
915
- | 3.8943 | 37650 | 0.0 | - |
916
- | 3.8995 | 37700 | 0.0 | - |
917
- | 3.9046 | 37750 | 0.0 | - |
918
- | 3.9098 | 37800 | 0.0 | - |
919
- | 3.9150 | 37850 | 0.0 | - |
920
- | 3.9201 | 37900 | 0.0 | - |
921
- | 3.9253 | 37950 | 0.0 | - |
922
- | 3.9305 | 38000 | 0.0 | - |
923
- | 3.9357 | 38050 | 0.0 | - |
924
- | 3.9408 | 38100 | 0.0 | - |
925
- | 3.9460 | 38150 | 0.0 | - |
926
- | 3.9512 | 38200 | 0.0 | - |
927
- | 3.9564 | 38250 | 0.0 | - |
928
- | 3.9615 | 38300 | 0.0 | - |
929
- | 3.9667 | 38350 | 0.0 | - |
930
- | 3.9719 | 38400 | 0.0 | - |
931
- | 3.9770 | 38450 | 0.0 | - |
932
- | 3.9822 | 38500 | 0.0 | - |
933
- | 3.9874 | 38550 | 0.0 | - |
934
- | 3.9926 | 38600 | 0.0 | - |
935
- | 3.9977 | 38650 | 0.0 | - |
936
- | 4.0 | 38672 | - | 0.3935 |
937
-
938
- * The bold row denotes the saved checkpoint.
939
  ### Framework Versions
940
  - Python: 3.10.14
941
  - SetFit: 1.0.3
 
33
  split: test
34
  metrics:
35
  - type: f1
36
+ value: 0.608
37
  name: F1
38
  ---
39
 
 
65
  - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
66
 
67
  ### Model Labels
68
+ | Label | Examples |
69
+ |:---------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
70
+ | negative | <ul><li>'Biasanya cuma janji saja tapi tak pernah buat pun'</li><li>'Aku faham kalau diorang buat macam ni sebab kalau aku jadi doktor pun aku penat la kimak. Bodoh punya kerajaan !'</li><li>'Jika parlimen tidak dipanggil dalam masa 14 hari maka UMNO akan keluar menjadi pembangkang iaitu lebih kurang 4 Jul https://t.co/AvJSf1F8ux'</li></ul> |
71
+ | positive | <ul><li>'Kek telapuk kuda, kek lembut rasa premium! Tgh kumpoi order ni utk warga Sungai Petani. Tak terlioq ka tengok? Mai https://t.co/wgcEADvxQK'</li><li>'Kalau projek ini berjalan, peneroka Felda tak payah masuk kebun lagi, harga sawit baru RM500 1 tan, murah.'</li><li>'Justeru, kita berharap lebih banyak pusat rawatan seperti ini diwujudkan untuk membantu.'</li></ul> |
72
+ | neutral | <ul><li>'08.05 WIB #Jalan_Layang_MBZ Cikunir - Tambun - Cikarang - Karawang LANCAR. ; Karawang - Cikarang - Tambun - Cikunir LANCAR.'</li><li>'5) Menilai Kualiti Kandungan. Selepas dah faham apa yang penulis cuba sampaikan, kita boleh nilai sama ada ia bena https://t.co/LnkjtBc3Nm'</li><li>'@syafirazbd_ Siapp'</li></ul> |
73
 
74
  ## Evaluation
75
 
76
  ### Metrics
77
  | Label | F1 |
78
  |:--------|:------|
79
+ | **all** | 0.608 |
80
 
81
  ## Uses
82
 
 
128
  ### Training Set Metrics
129
  | Training set | Min | Median | Max |
130
  |:-------------|:----|:-------|:----|
131
+ | Word count | 1 | 16.598 | 58 |
132
 
133
  | Label | Training Sample Count |
134
  |:---------|:----------------------|
135
+ | positive | 235 |
136
+ | neutral | 77 |
137
+ | negative | 188 |
138
 
139
  ### Training Hyperparameters
140
+ - batch_size: (128, 128)
141
+ - num_epochs: (10, 10)
142
  - max_steps: -1
143
  - sampling_strategy: oversampling
144
  - body_learning_rate: (2e-05, 1e-05)
 
154
  - load_best_model_at_end: True
155
 
156
  ### Training Results
157
+ | Epoch | Step | Training Loss | Validation Loss |
158
+ |:------:|:----:|:-------------:|:---------------:|
159
+ | 0.0001 | 1 | 0.189 | - |
160
+ | 0.0052 | 50 | 0.3053 | - |
161
+ | 0.0104 | 100 | 0.2779 | - |
162
+ | 0.0156 | 150 | 0.4526 | - |
163
+ | 0.0208 | 200 | 0.3073 | - |
164
+ | 0.0261 | 250 | 0.4156 | - |
165
+ | 0.0313 | 300 | 0.3912 | - |
166
+ | 0.0365 | 350 | 0.2259 | - |
167
+ | 0.0417 | 400 | 0.2445 | - |
168
+ | 0.0004 | 1 | 0.3311 | - |
169
+ | 0.0208 | 50 | 0.3569 | - |
170
+ | 0.0417 | 100 | 0.2946 | - |
171
+ | 0.0625 | 150 | 0.3397 | - |
172
+ | 0.0008 | 1 | 0.3177 | - |
173
+ | 0.0417 | 50 | 0.2764 | - |
174
+ | 0.0833 | 100 | 0.226 | - |
175
+ | 0.125 | 150 | 0.2649 | - |
176
+ | 0.1667 | 200 | 0.282 | - |
177
+ | 0.2083 | 250 | 0.2438 | - |
178
+ | 0.25 | 300 | 0.2425 | - |
179
+ | 0.2917 | 350 | 0.2555 | - |
180
+ | 0.3333 | 400 | 0.2266 | - |
181
+ | 0.375 | 450 | 0.14 | - |
182
+ | 0.4167 | 500 | 0.1446 | - |
183
+ | 0.4583 | 550 | 0.152 | - |
184
+ | 0.5 | 600 | 0.184 | - |
185
+ | 0.5417 | 650 | 0.095 | - |
186
+ | 0.5833 | 700 | 0.1358 | - |
187
+ | 0.625 | 750 | 0.0859 | - |
188
+ | 0.6667 | 800 | 0.0756 | - |
189
+ | 0.7083 | 850 | 0.0622 | - |
190
+ | 0.75 | 900 | 0.0719 | - |
191
+ | 0.7917 | 950 | 0.0681 | - |
192
+ | 0.8333 | 1000 | 0.0684 | - |
193
+ | 0.875 | 1050 | 0.0356 | - |
194
+ | 0.9167 | 1100 | 0.0233 | - |
195
+ | 0.9583 | 1150 | 0.0126 | - |
196
+ | 1.0 | 1200 | 0.0022 | 0.3748 |
197
+ | 1.0417 | 1250 | 0.0095 | - |
198
+ | 1.0833 | 1300 | 0.0095 | - |
199
+ | 1.125 | 1350 | 0.0376 | - |
200
+ | 1.1667 | 1400 | 0.0075 | - |
201
+ | 1.2083 | 1450 | 0.0075 | - |
202
+ | 1.25 | 1500 | 0.0142 | - |
203
+ | 1.2917 | 1550 | 0.0113 | - |
204
+ | 1.3333 | 1600 | 0.0022 | - |
205
+ | 1.375 | 1650 | 0.0006 | - |
206
+ | 1.4167 | 1700 | 0.0005 | - |
207
+ | 1.4583 | 1750 | 0.0005 | - |
208
+ | 1.5 | 1800 | 0.0003 | - |
209
+ | 1.5417 | 1850 | 0.0021 | - |
210
+ | 1.5833 | 1900 | 0.0004 | - |
211
+ | 1.625 | 1950 | 0.0006 | - |
212
+ | 1.6667 | 2000 | 0.001 | - |
213
+ | 1.7083 | 2050 | 0.0002 | - |
214
+ | 1.75 | 2100 | 0.0002 | - |
215
+ | 1.7917 | 2150 | 0.0002 | - |
216
+ | 1.8333 | 2200 | 0.0002 | - |
217
+ | 1.875 | 2250 | 0.0059 | - |
218
+ | 1.9167 | 2300 | 0.0002 | - |
219
+ | 1.9583 | 2350 | 0.0005 | - |
220
+ | 2.0 | 2400 | 0.0001 | 0.3806 |
221
+ | 2.0417 | 2450 | 0.0001 | - |
222
+ | 2.0833 | 2500 | 0.0012 | - |
223
+ | 2.125 | 2550 | 0.0001 | - |
224
+ | 2.1667 | 2600 | 0.0002 | - |
225
+ | 2.2083 | 2650 | 0.0002 | - |
226
+ | 2.25 | 2700 | 0.0001 | - |
227
+ | 2.2917 | 2750 | 0.0011 | - |
228
+ | 2.3333 | 2800 | 0.0002 | - |
229
+ | 2.375 | 2850 | 0.0001 | - |
230
+ | 2.4167 | 2900 | 0.0003 | - |
231
+ | 2.4583 | 2950 | 0.0007 | - |
232
+ | 2.5 | 3000 | 0.0001 | - |
233
+ | 2.5417 | 3050 | 0.0001 | - |
234
+ | 2.5833 | 3100 | 0.0001 | - |
235
+ | 2.625 | 3150 | 0.0001 | - |
236
+ | 2.6667 | 3200 | 0.0001 | - |
237
+ | 2.7083 | 3250 | 0.0001 | - |
238
+ | 2.75 | 3300 | 0.0001 | - |
239
+ | 2.7917 | 3350 | 0.0002 | - |
240
+ | 2.8333 | 3400 | 0.0001 | - |
241
+ | 2.875 | 3450 | 0.0001 | - |
242
+ | 2.9167 | 3500 | 0.0001 | - |
243
+ | 2.9583 | 3550 | 0.0001 | - |
244
+ | 3.0 | 3600 | 0.0001 | 0.4004 |
245
+ | 3.0417 | 3650 | 0.0001 | - |
246
+ | 3.0833 | 3700 | 0.0001 | - |
247
+ | 3.125 | 3750 | 0.0001 | - |
248
+ | 3.1667 | 3800 | 0.0001 | - |
249
+ | 3.2083 | 3850 | 0.0002 | - |
250
+ | 3.25 | 3900 | 0.0001 | - |
251
+ | 3.2917 | 3950 | 0.0001 | - |
252
+ | 3.3333 | 4000 | 0.0005 | - |
253
+ | 3.375 | 4050 | 0.0001 | - |
254
+ | 3.4167 | 4100 | 0.0001 | - |
255
+ | 3.4583 | 4150 | 0.0001 | - |
256
+ | 3.5 | 4200 | 0.0004 | - |
257
+ | 3.5417 | 4250 | 0.0 | - |
258
+ | 3.5833 | 4300 | 0.0001 | - |
259
+ | 3.625 | 4350 | 0.0001 | - |
260
+ | 3.6667 | 4400 | 0.0001 | - |
261
+ | 3.7083 | 4450 | 0.0001 | - |
262
+ | 3.75 | 4500 | 0.0 | - |
263
+ | 3.7917 | 4550 | 0.0 | - |
264
+ | 3.8333 | 4600 | 0.0 | - |
265
+ | 3.875 | 4650 | 0.0001 | - |
266
+ | 3.9167 | 4700 | 0.0001 | - |
267
+ | 3.9583 | 4750 | 0.0001 | - |
268
+ | 4.0 | 4800 | 0.0 | 0.4004 |
269
+ | 4.0417 | 4850 | 0.0001 | - |
270
+ | 4.0833 | 4900 | 0.0003 | - |
271
+ | 4.125 | 4950 | 0.0 | - |
272
+ | 4.1667 | 5000 | 0.0001 | - |
273
+ | 4.2083 | 5050 | 0.0001 | - |
274
+ | 4.25 | 5100 | 0.0 | - |
275
+ | 4.2917 | 5150 | 0.0003 | - |
276
+ | 4.3333 | 5200 | 0.0001 | - |
277
+ | 4.375 | 5250 | 0.0 | - |
278
+ | 4.4167 | 5300 | 0.0 | - |
279
+ | 4.4583 | 5350 | 0.0002 | - |
280
+ | 4.5 | 5400 | 0.0 | - |
281
+ | 4.5417 | 5450 | 0.0001 | - |
282
+ | 4.5833 | 5500 | 0.0001 | - |
283
+ | 4.625 | 5550 | 0.0 | - |
284
+ | 4.6667 | 5600 | 0.0006 | - |
285
+ | 4.7083 | 5650 | 0.0 | - |
286
+ | 4.75 | 5700 | 0.0 | - |
287
+ | 4.7917 | 5750 | 0.0 | - |
288
+ | 4.8333 | 5800 | 0.0 | - |
289
+ | 4.875 | 5850 | 0.0 | - |
290
+ | 4.9167 | 5900 | 0.0 | - |
291
+ | 4.9583 | 5950 | 0.0 | - |
292
+ | 5.0 | 6000 | 0.0001 | 0.391 |
293
+ | 5.0417 | 6050 | 0.0 | - |
294
+ | 5.0833 | 6100 | 0.0001 | - |
295
+ | 5.125 | 6150 | 0.0 | - |
296
+ | 5.1667 | 6200 | 0.0 | - |
297
+ | 5.2083 | 6250 | 0.0 | - |
298
+ | 5.25 | 6300 | 0.0 | - |
299
+ | 5.2917 | 6350 | 0.0 | - |
300
+ | 5.3333 | 6400 | 0.0 | - |
301
+ | 5.375 | 6450 | 0.0 | - |
302
+ | 5.4167 | 6500 | 0.0 | - |
303
+ | 5.4583 | 6550 | 0.0 | - |
304
+ | 5.5 | 6600 | 0.0001 | - |
305
+ | 5.5417 | 6650 | 0.0 | - |
306
+ | 5.5833 | 6700 | 0.0 | - |
307
+ | 5.625 | 6750 | 0.0 | - |
308
+ | 5.6667 | 6800 | 0.0 | - |
309
+ | 5.7083 | 6850 | 0.0 | - |
310
+ | 5.75 | 6900 | 0.0001 | - |
311
+ | 5.7917 | 6950 | 0.0 | - |
312
+ | 5.8333 | 7000 | 0.0001 | - |
313
+ | 5.875 | 7050 | 0.0 | - |
314
+ | 5.9167 | 7100 | 0.0 | - |
315
+ | 5.9583 | 7150 | 0.0 | - |
316
+ | 6.0 | 7200 | 0.0001 | 0.4026 |
317
+ | 6.0417 | 7250 | 0.0 | - |
318
+ | 6.0833 | 7300 | 0.0 | - |
319
+ | 6.125 | 7350 | 0.0 | - |
320
+ | 6.1667 | 7400 | 0.0 | - |
321
+ | 6.2083 | 7450 | 0.0 | - |
322
+ | 6.25 | 7500 | 0.0 | - |
323
+ | 6.2917 | 7550 | 0.0 | - |
324
+ | 6.3333 | 7600 | 0.0 | - |
325
+ | 6.375 | 7650 | 0.0 | - |
326
+ | 6.4167 | 7700 | 0.0 | - |
327
+ | 6.4583 | 7750 | 0.0 | - |
328
+ | 6.5 | 7800 | 0.0 | - |
329
+ | 6.5417 | 7850 | 0.0 | - |
330
+ | 6.5833 | 7900 | 0.0 | - |
331
+ | 6.625 | 7950 | 0.0 | - |
332
+ | 6.6667 | 8000 | 0.0001 | - |
333
+ | 6.7083 | 8050 | 0.0005 | - |
334
+ | 6.75 | 8100 | 0.0063 | - |
335
+ | 6.7917 | 8150 | 0.0 | - |
336
+ | 6.8333 | 8200 | 0.0 | - |
337
+ | 6.875 | 8250 | 0.0 | - |
338
+ | 6.9167 | 8300 | 0.0 | - |
339
+ | 6.9583 | 8350 | 0.0 | - |
340
+ | 7.0 | 8400 | 0.0 | 0.4018 |
341
+ | 7.0417 | 8450 | 0.0 | - |
342
+ | 7.0833 | 8500 | 0.0 | - |
343
+ | 7.125 | 8550 | 0.0 | - |
344
+ | 7.1667 | 8600 | 0.0 | - |
345
+ | 7.2083 | 8650 | 0.0 | - |
346
+ | 7.25 | 8700 | 0.0 | - |
347
+ | 7.2917 | 8750 | 0.0 | - |
348
+ | 7.3333 | 8800 | 0.0 | - |
349
+ | 7.375 | 8850 | 0.0 | - |
350
+ | 7.4167 | 8900 | 0.0 | - |
351
+ | 7.4583 | 8950 | 0.0 | - |
352
+ | 7.5 | 9000 | 0.0 | - |
353
+ | 7.5417 | 9050 | 0.0 | - |
354
+ | 7.5833 | 9100 | 0.0 | - |
355
+ | 7.625 | 9150 | 0.0 | - |
356
+ | 7.6667 | 9200 | 0.0 | - |
357
+ | 7.7083 | 9250 | 0.0 | - |
358
+ | 7.75 | 9300 | 0.0 | - |
359
+ | 7.7917 | 9350 | 0.0 | - |
360
+ | 7.8333 | 9400 | 0.0 | - |
361
+ | 7.875 | 9450 | 0.0 | - |
362
+ | 7.9167 | 9500 | 0.0 | - |
363
+ | 7.9583 | 9550 | 0.0 | - |
364
+ | 8.0 | 9600 | 0.0 | 0.4001 |
365
+ | 8.0417 | 9650 | 0.0 | - |
366
+ | 8.0833 | 9700 | 0.0 | - |
367
+ | 8.125 | 9750 | 0.0 | - |
368
+
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
369
  ### Framework Versions
370
  - Python: 3.10.14
371
  - SetFit: 1.0.3
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