firqaaa commited on
Commit
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1 Parent(s): 135c838

Add SetFit model

Browse files
Files changed (5) hide show
  1. README.md +962 -476
  2. config.json +1 -1
  3. config_setfit.json +2 -2
  4. model.safetensors +1 -1
  5. model_head.pkl +1 -1
README.md CHANGED
@@ -8,12 +8,13 @@ tags:
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  metrics:
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  - accuracy
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  widget:
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- - text: Sate adalah makanan terenak di seluruh Asia Tenggara
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- - text: Saya senang tinggal di Bandung karena suhunya yang sangat sejuk.
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- - text: Segmentasi pemilih Joko Widodo adalah kalangan pejabat-pejabat korupsi dan asusila, serta rakyat-rakyat terbelakang dari segi aspek ekonomi dan pendidikan. Bukan rahasia umum lagi jika pemilih Joko Widodo adalah kalangan orang-orang bodoh, debil, imbisil, dan idiot.
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- - text: Ganjar Pranowo dicurigai terlibat skandal korupsi proyek E-KTP
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- - text: Gibran Rakabuming Raka adalah anak haram konstitusi yang mencalonkan dirinya sebagai calon wakil presiden melalui cara yang tidak etis yaitu Nepotisme
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-
 
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  pipeline_tag: text-classification
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  inference: true
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  base_model: firqaaa/indo-sentence-bert-base
@@ -29,7 +30,7 @@ model-index:
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  split: test
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  metrics:
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  - type: accuracy
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- value: 0.82
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  name: Accuracy
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  ---
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@@ -60,12 +61,18 @@ The model has been trained using an efficient few-shot learning technique that i
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  - **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
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  - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
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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** | 0.82 |
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  ## Uses
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@@ -85,7 +92,7 @@ from setfit import SetFitModel
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  # Download from the 🤗 Hub
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  model = SetFitModel.from_pretrained("firqaaa/indo-setfit-bert-base-p1")
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  # Run inference
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- preds = model("Saya senang tinggal di Bandung karena suhunya yang sangat sejuk.")
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  ```
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  <!--
@@ -117,12 +124,12 @@ preds = model("Saya senang tinggal di Bandung karena suhunya yang sangat sejuk."
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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 | 1 | 9.4029 | 51 |
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  | Label | Training Sample Count |
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  |:--------|:----------------------|
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- | negatif | 350 |
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- | positif | 350 |
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  ### Training Hyperparameters
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  - batch_size: (32, 32)
@@ -144,470 +151,949 @@ preds = model("Saya senang tinggal di Bandung karena suhunya yang sangat sejuk."
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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 | 0.3328 | - |
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- | 0.0065 | 50 | 0.4117 | - |
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- | 0.0130 | 100 | 0.2903 | - |
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- | 0.0195 | 150 | 0.3104 | - |
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- | 0.0260 | 200 | 0.2411 | - |
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- | 0.0326 | 250 | 0.2341 | - |
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- | 0.0391 | 300 | 0.2144 | - |
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- | 0.0456 | 350 | 0.1785 | - |
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- | 0.0521 | 400 | 0.1649 | - |
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- | 0.0586 | 450 | 0.037 | - |
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- | 0.0651 | 500 | 0.0447 | - |
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- | 0.0716 | 550 | 0.0472 | - |
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- | 0.0781 | 600 | 0.0361 | - |
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- | 0.0846 | 650 | 0.0016 | - |
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- | 0.0912 | 700 | 0.0013 | - |
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- | 0.0977 | 750 | 0.0011 | - |
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- | 0.1042 | 800 | 0.0006 | - |
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- | 0.1107 | 850 | 0.0009 | - |
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- | 0.1172 | 900 | 0.0006 | - |
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- | 0.1237 | 950 | 0.0004 | - |
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- | 0.1302 | 1000 | 0.0004 | - |
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- | 0.1367 | 1050 | 0.0005 | - |
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- | 0.1432 | 1100 | 0.0004 | - |
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- | 0.1498 | 1150 | 0.0002 | - |
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- | 0.1563 | 1200 | 0.0003 | - |
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- | 0.1628 | 1250 | 0.0004 | - |
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- | 0.1693 | 1300 | 0.0003 | - |
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- | 0.1758 | 1350 | 0.0001 | - |
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- | 0.1823 | 1400 | 0.0002 | - |
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- | 0.1888 | 1450 | 0.0003 | - |
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- | 0.1953 | 1500 | 0.0002 | - |
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- | 0.2018 | 1550 | 0.0002 | - |
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- | 0.2084 | 1600 | 0.0287 | - |
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- | 0.2149 | 1650 | 0.0003 | - |
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- | 0.2214 | 1700 | 0.0002 | - |
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- | 0.2279 | 1750 | 0.0002 | - |
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- | 0.2344 | 1800 | 0.0002 | - |
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- | 0.2409 | 1850 | 0.0004 | - |
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- | 0.2474 | 1900 | 0.0001 | - |
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- | 0.2539 | 1950 | 0.0001 | - |
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- | 0.2605 | 2000 | 0.0001 | - |
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- | 0.2670 | 2050 | 0.0001 | - |
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- | 0.2735 | 2100 | 0.0001 | - |
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- | 0.2800 | 2150 | 0.0001 | - |
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- | 0.2865 | 2200 | 0.0001 | - |
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- | 0.2930 | 2250 | 0.0003 | - |
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- | 0.2995 | 2300 | 0.0001 | - |
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- | 0.3060 | 2350 | 0.0002 | - |
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- | 0.3125 | 2400 | 0.0001 | - |
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- | 0.3191 | 2450 | 0.0 | - |
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- | 0.3256 | 2500 | 0.0001 | - |
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- | 0.3321 | 2550 | 0.0001 | - |
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- | 0.3386 | 2600 | 0.0001 | - |
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- | 0.3451 | 2650 | 0.0001 | - |
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- | 0.3516 | 2700 | 0.0003 | - |
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- | 0.3581 | 2750 | 0.0002 | - |
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- | 0.3646 | 2800 | 0.0003 | - |
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- | 0.3711 | 2850 | 0.0002 | - |
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- | 0.3777 | 2900 | 0.0002 | - |
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- | 0.3842 | 2950 | 0.0001 | - |
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- | 0.3907 | 3000 | 0.0001 | - |
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- | 0.3972 | 3050 | 0.0001 | - |
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- | 0.4037 | 3100 | 0.0001 | - |
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- | 0.4102 | 3150 | 0.0 | - |
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- | 0.4167 | 3200 | 0.0001 | - |
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- | 0.4232 | 3250 | 0.0 | - |
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- | 0.4297 | 3300 | 0.0001 | - |
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- | 0.4363 | 3350 | 0.0001 | - |
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- | 0.4428 | 3400 | 0.0001 | - |
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- | 0.4493 | 3450 | 0.0001 | - |
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- | 0.4558 | 3500 | 0.0001 | - |
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- | 0.4623 | 3550 | 0.0 | - |
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- | 0.4688 | 3600 | 0.0001 | - |
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- | 0.4753 | 3650 | 0.0001 | - |
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- | 0.4818 | 3700 | 0.0001 | - |
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- | 0.4883 | 3750 | 0.0 | - |
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- | 0.4949 | 3800 | 0.0001 | - |
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- | 0.5014 | 3850 | 0.0 | - |
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- | 0.5079 | 3900 | 0.0 | - |
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- | 0.5144 | 3950 | 0.0 | - |
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- | 0.5209 | 4000 | 0.0 | - |
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- | 0.5274 | 4050 | 0.0 | - |
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- | 0.5339 | 4100 | 0.0 | - |
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- | 0.5404 | 4150 | 0.0 | - |
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- | 0.5469 | 4200 | 0.0 | - |
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- | 0.5535 | 4250 | 0.0 | - |
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- | 0.5600 | 4300 | 0.0 | - |
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- | 0.5665 | 4350 | 0.0001 | - |
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- | 0.5730 | 4400 | 0.0 | - |
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- | 0.5795 | 4450 | 0.0 | - |
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- | 0.5860 | 4500 | 0.0 | - |
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- | 0.5925 | 4550 | 0.0 | - |
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- | 0.5990 | 4600 | 0.0 | - |
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- | 0.6055 | 4650 | 0.0 | - |
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- | 0.6121 | 4700 | 0.0 | - |
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- | 0.6186 | 4750 | 0.0 | - |
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- | 0.6251 | 4800 | 0.0 | - |
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- | 0.6316 | 4850 | 0.0001 | - |
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- | 0.6381 | 4900 | 0.0001 | - |
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- | 0.6446 | 4950 | 0.0086 | - |
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- | 0.6511 | 5000 | 0.0 | - |
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- | 0.6576 | 5050 | 0.0 | - |
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- | 0.6641 | 5100 | 0.0 | - |
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- | 0.6707 | 5150 | 0.0 | - |
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- | 0.6772 | 5200 | 0.0 | - |
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- | 0.6837 | 5250 | 0.0007 | - |
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- | 0.6902 | 5300 | 0.0 | - |
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- | 0.6967 | 5350 | 0.0001 | - |
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- | 0.7032 | 5400 | 0.0 | - |
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- | 0.7162 | 5500 | 0.0 | - |
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- | 0.7228 | 5550 | 0.0 | - |
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- | 0.7358 | 5650 | 0.0 | - |
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- | 0.7423 | 5700 | 0.0003 | - |
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- | 0.7488 | 5750 | 0.0001 | - |
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- | 0.7553 | 5800 | 0.0 | - |
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- | 0.7683 | 5900 | 0.0 | - |
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- | 0.7748 | 5950 | 0.0 | - |
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- | 0.7814 | 6000 | 0.0 | - |
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- | 0.7879 | 6050 | 0.0 | - |
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- | 0.7944 | 6100 | 0.0 | - |
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- | 0.8009 | 6150 | 0.0 | - |
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- | 0.8074 | 6200 | 0.0 | - |
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- | 0.8139 | 6250 | 0.0 | - |
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- | 0.8204 | 6300 | 0.0 | - |
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- | 0.8269 | 6350 | 0.0 | - |
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- | 0.8334 | 6400 | 0.0 | - |
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- | 0.8400 | 6450 | 0.0 | - |
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- | 0.8465 | 6500 | 0.0 | - |
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- | 0.8530 | 6550 | 0.0 | - |
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- | 0.8595 | 6600 | 0.0 | - |
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- | 0.8725 | 6700 | 0.0 | - |
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- | 0.8790 | 6750 | 0.0 | - |
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- | 0.8855 | 6800 | 0.0 | - |
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- | 0.8920 | 6850 | 0.0 | - |
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- | 0.8986 | 6900 | 0.0 | - |
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- | 0.9051 | 6950 | 0.0 | - |
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- | 0.9116 | 7000 | 0.0 | - |
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- | 0.9702 | 7450 | 0.0 | - |
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- | 0.9962 | 7650 | 0.0 | - |
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- | 1.0 | 7679 | - | 0.2894 |
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- | 1.0027 | 7700 | 0.0 | - |
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- | 1.0092 | 7750 | 0.0 | - |
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482
- | 2.1683 | 16650 | 0.0 | - |
483
- | 2.1748 | 16700 | 0.0 | - |
484
- | 2.1813 | 16750 | 0.0 | - |
485
- | 2.1878 | 16800 | 0.0 | - |
486
- | 2.1943 | 16850 | 0.0 | - |
487
- | 2.2008 | 16900 | 0.0 | - |
488
- | 2.2073 | 16950 | 0.0 | - |
489
- | 2.2138 | 17000 | 0.0 | - |
490
- | 2.2203 | 17050 | 0.0 | - |
491
- | 2.2269 | 17100 | 0.0 | - |
492
- | 2.2334 | 17150 | 0.0 | - |
493
- | 2.2399 | 17200 | 0.0 | - |
494
- | 2.2464 | 17250 | 0.0 | - |
495
- | 2.2529 | 17300 | 0.0 | - |
496
- | 2.2594 | 17350 | 0.0 | - |
497
- | 2.2659 | 17400 | 0.0 | - |
498
- | 2.2724 | 17450 | 0.0 | - |
499
- | 2.2789 | 17500 | 0.0 | - |
500
- | 2.2855 | 17550 | 0.0 | - |
501
- | 2.2920 | 17600 | 0.0 | - |
502
- | 2.2985 | 17650 | 0.0 | - |
503
- | 2.3050 | 17700 | 0.0 | - |
504
- | 2.3115 | 17750 | 0.0 | - |
505
- | 2.3180 | 17800 | 0.0 | - |
506
- | 2.3245 | 17850 | 0.0 | - |
507
- | 2.3310 | 17900 | 0.0 | - |
508
- | 2.3375 | 17950 | 0.0 | - |
509
- | 2.3441 | 18000 | 0.0 | - |
510
- | 2.3506 | 18050 | 0.0 | - |
511
- | 2.3571 | 18100 | 0.0 | - |
512
- | 2.3636 | 18150 | 0.0 | - |
513
- | 2.3701 | 18200 | 0.0 | - |
514
- | 2.3766 | 18250 | 0.0 | - |
515
- | 2.3831 | 18300 | 0.0 | - |
516
- | 2.3896 | 18350 | 0.0 | - |
517
- | 2.3961 | 18400 | 0.0 | - |
518
- | 2.4027 | 18450 | 0.0 | - |
519
- | 2.4092 | 18500 | 0.0 | - |
520
- | 2.4157 | 18550 | 0.0 | - |
521
- | 2.4222 | 18600 | 0.0 | - |
522
- | 2.4287 | 18650 | 0.0 | - |
523
- | 2.4352 | 18700 | 0.0 | - |
524
- | 2.4417 | 18750 | 0.0 | - |
525
- | 2.4482 | 18800 | 0.0 | - |
526
- | 2.4547 | 18850 | 0.0 | - |
527
- | 2.4613 | 18900 | 0.0 | - |
528
- | 2.4678 | 18950 | 0.0 | - |
529
- | 2.4743 | 19000 | 0.0 | - |
530
- | 2.4808 | 19050 | 0.0 | - |
531
- | 2.4873 | 19100 | 0.0 | - |
532
- | 2.4938 | 19150 | 0.0 | - |
533
- | 2.5003 | 19200 | 0.0 | - |
534
- | 2.5068 | 19250 | 0.0 | - |
535
- | 2.5133 | 19300 | 0.0 | - |
536
- | 2.5199 | 19350 | 0.0 | - |
537
- | 2.5264 | 19400 | 0.0 | - |
538
- | 2.5329 | 19450 | 0.0 | - |
539
- | 2.5394 | 19500 | 0.0 | - |
540
- | 2.5459 | 19550 | 0.0 | - |
541
- | 2.5524 | 19600 | 0.0 | - |
542
- | 2.5589 | 19650 | 0.0 | - |
543
- | 2.5654 | 19700 | 0.0 | - |
544
- | 2.5719 | 19750 | 0.0 | - |
545
- | 2.5785 | 19800 | 0.0 | - |
546
- | 2.5850 | 19850 | 0.0 | - |
547
- | 2.5915 | 19900 | 0.0 | - |
548
- | 2.5980 | 19950 | 0.0 | - |
549
- | 2.6045 | 20000 | 0.0 | - |
550
- | 2.6110 | 20050 | 0.0 | - |
551
- | 2.6175 | 20100 | 0.0 | - |
552
- | 2.6240 | 20150 | 0.0 | - |
553
- | 2.6306 | 20200 | 0.0 | - |
554
- | 2.6371 | 20250 | 0.0 | - |
555
- | 2.6436 | 20300 | 0.0 | - |
556
- | 2.6501 | 20350 | 0.0 | - |
557
- | 2.6566 | 20400 | 0.0 | - |
558
- | 2.6631 | 20450 | 0.0 | - |
559
- | 2.6696 | 20500 | 0.0 | - |
560
- | 2.6761 | 20550 | 0.0 | - |
561
- | 2.6826 | 20600 | 0.0 | - |
562
- | 2.6892 | 20650 | 0.0 | - |
563
- | 2.6957 | 20700 | 0.0 | - |
564
- | 2.7022 | 20750 | 0.0 | - |
565
- | 2.7087 | 20800 | 0.0 | - |
566
- | 2.7152 | 20850 | 0.0 | - |
567
- | 2.7217 | 20900 | 0.0 | - |
568
- | 2.7282 | 20950 | 0.0 | - |
569
- | 2.7347 | 21000 | 0.0 | - |
570
- | 2.7412 | 21050 | 0.0 | - |
571
- | 2.7478 | 21100 | 0.0 | - |
572
- | 2.7543 | 21150 | 0.0 | - |
573
- | 2.7608 | 21200 | 0.0 | - |
574
- | 2.7673 | 21250 | 0.0 | - |
575
- | 2.7738 | 21300 | 0.0 | - |
576
- | 2.7803 | 21350 | 0.0 | - |
577
- | 2.7868 | 21400 | 0.0 | - |
578
- | 2.7933 | 21450 | 0.0 | - |
579
- | 2.7998 | 21500 | 0.0 | - |
580
- | 2.8064 | 21550 | 0.0 | - |
581
- | 2.8129 | 21600 | 0.0 | - |
582
- | 2.8194 | 21650 | 0.0 | - |
583
- | 2.8259 | 21700 | 0.0 | - |
584
- | 2.8324 | 21750 | 0.0 | - |
585
- | 2.8389 | 21800 | 0.0 | - |
586
- | 2.8454 | 21850 | 0.0 | - |
587
- | 2.8519 | 21900 | 0.0 | - |
588
- | 2.8584 | 21950 | 0.0 | - |
589
- | 2.8650 | 22000 | 0.0 | - |
590
- | 2.8715 | 22050 | 0.0 | - |
591
- | 2.8780 | 22100 | 0.0 | - |
592
- | 2.8845 | 22150 | 0.0 | - |
593
- | 2.8910 | 22200 | 0.0 | - |
594
- | 2.8975 | 22250 | 0.0 | - |
595
- | 2.9040 | 22300 | 0.0 | - |
596
- | 2.9105 | 22350 | 0.0 | - |
597
- | 2.9170 | 22400 | 0.0 | - |
598
- | 2.9236 | 22450 | 0.0 | - |
599
- | 2.9301 | 22500 | 0.0 | - |
600
- | 2.9366 | 22550 | 0.0 | - |
601
- | 2.9431 | 22600 | 0.0 | - |
602
- | 2.9496 | 22650 | 0.0 | - |
603
- | 2.9561 | 22700 | 0.0 | - |
604
- | 2.9626 | 22750 | 0.0 | - |
605
- | 2.9691 | 22800 | 0.0 | - |
606
- | 2.9756 | 22850 | 0.0 | - |
607
- | 2.9822 | 22900 | 0.0 | - |
608
- | 2.9887 | 22950 | 0.0 | - |
609
- | 2.9952 | 23000 | 0.0 | - |
610
- | **3.0** | **23037** | **-** | **0.2771** |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
611
 
612
  * The bold row denotes the saved checkpoint.
613
  ### Framework Versions
 
8
  metrics:
9
  - accuracy
10
  widget:
11
+ - text: ketika Leguizamo akhirnya memasang karakter yang menjengkelkan di akhir film.
12
+ - text: ini adalah perjalanan yang menawan dan sering kali memberi kesan.
13
+ - text: hanya sedikit film yang menangkap dengan sempurna harapan dan impian anak-anak
14
+ lelaki di lapangan bisbol serta para lelaki dewasa yang duduk di tribun.
15
+ - text: holden caulfield melakukannya dengan lebih baik.
16
+ - text: tapi jika diambil sebagai one-shot yang penuh gaya dan energik, ratu terkutuk
17
+ ini tidak bisa dikatakan payah.
18
  pipeline_tag: text-classification
19
  inference: true
20
  base_model: firqaaa/indo-sentence-bert-base
 
30
  split: test
31
  metrics:
32
  - type: accuracy
33
+ value: 0.8171334431630972
34
  name: Accuracy
35
  ---
36
 
 
61
  - **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
62
  - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
63
 
64
+ ### Model Labels
65
+ | Label | Examples |
66
+ |:--------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
67
+ | positif | <ul><li>'secara implisit mengakui dan merayakan kelicikan dan khayalan diri yang luar biasa dari sebagian besar pebisnis Amerika ini, dan oleh karena itu, dokumen ini mungkin merupakan dokumen Hollywood yang paling jujur \u200b\u200bdan aneh dari semuanya.'</li><li>'sebuah potret menarik dari para seniman tanpa kompromi yang mencoba menciptakan sesuatu yang orisinal dengan latar belakang industri musik korporat yang tampaknya hanya peduli pada keuntungan.'</li><li>'mengerikan dalam potret obyektif Amerika abad kedua puluh satu yang suram dan hilang.'</li></ul> |
68
+ | negatif | <ul><li>'dengan hari-hari anjing di bulan Agustus yang akan datang, anggaplah film anjing ini setara dengan sinematik dengan kelembapan tinggi.'</li><li>'itu kelam dan mudah ditebak, dan tidak banyak yang bisa tertawa.'</li><li>'pencapaian film yang paling mustahil?'</li></ul> |
69
+
70
  ## Evaluation
71
 
72
  ### Metrics
73
  | Label | Accuracy |
74
  |:--------|:---------|
75
+ | **all** | 0.8171 |
76
 
77
  ## Uses
78
 
 
92
  # Download from the 🤗 Hub
93
  model = SetFitModel.from_pretrained("firqaaa/indo-setfit-bert-base-p1")
94
  # Run inference
95
+ preds = model("holden caulfield melakukannya dengan lebih baik.")
96
  ```
97
 
98
  <!--
 
124
  ### Training Set Metrics
125
  | Training set | Min | Median | Max |
126
  |:-------------|:----|:-------|:----|
127
+ | Word count | 1 | 16.073 | 45 |
128
 
129
  | Label | Training Sample Count |
130
  |:--------|:----------------------|
131
+ | negatif | 500 |
132
+ | positif | 500 |
133
 
134
  ### Training Hyperparameters
135
  - batch_size: (32, 32)
 
151
  ### Training Results
152
  | Epoch | Step | Training Loss | Validation Loss |
153
  |:-------:|:---------:|:-------------:|:---------------:|
154
+ | 0.0001 | 1 | 0.3943 | - |
155
+ | 0.0032 | 50 | 0.3398 | - |
156
+ | 0.0064 | 100 | 0.2628 | - |
157
+ | 0.0096 | 150 | 0.2842 | - |
158
+ | 0.0128 | 200 | 0.2317 | - |
159
+ | 0.0160 | 250 | 0.2703 | - |
160
+ | 0.0192 | 300 | 0.2272 | - |
161
+ | 0.0224 | 350 | 0.2496 | - |
162
+ | 0.0255 | 400 | 0.2076 | - |
163
+ | 0.0287 | 450 | 0.207 | - |
164
+ | 0.0319 | 500 | 0.232 | - |
165
+ | 0.0351 | 550 | 0.1439 | - |
166
+ | 0.0383 | 600 | 0.1578 | - |
167
+ | 0.0415 | 650 | 0.0821 | - |
168
+ | 0.0447 | 700 | 0.0628 | - |
169
+ | 0.0479 | 750 | 0.0315 | - |
170
+ | 0.0511 | 800 | 0.0089 | - |
171
+ | 0.0543 | 850 | 0.0106 | - |
172
+ | 0.0575 | 900 | 0.0026 | - |
173
+ | 0.0607 | 950 | 0.0025 | - |
174
+ | 0.0639 | 1000 | 0.0028 | - |
175
+ | 0.0671 | 1050 | 0.0093 | - |
176
+ | 0.0703 | 1100 | 0.0008 | - |
177
+ | 0.0734 | 1150 | 0.0008 | - |
178
+ | 0.0766 | 1200 | 0.0003 | - |
179
+ | 0.0798 | 1250 | 0.0006 | - |
180
+ | 0.0830 | 1300 | 0.0005 | - |
181
+ | 0.0862 | 1350 | 0.0005 | - |
182
+ | 0.0894 | 1400 | 0.0002 | - |
183
+ | 0.0926 | 1450 | 0.0003 | - |
184
+ | 0.0958 | 1500 | 0.0003 | - |
185
+ | 0.0990 | 1550 | 0.0003 | - |
186
+ | 0.1022 | 1600 | 0.0002 | - |
187
+ | 0.1054 | 1650 | 0.0002 | - |
188
+ | 0.1086 | 1700 | 0.0001 | - |
189
+ | 0.1118 | 1750 | 0.0002 | - |
190
+ | 0.1150 | 1800 | 0.0001 | - |
191
+ | 0.1182 | 1850 | 0.0001 | - |
192
+ | 0.1214 | 1900 | 0.0001 | - |
193
+ | 0.1245 | 1950 | 0.0001 | - |
194
+ | 0.1277 | 2000 | 0.0001 | - |
195
+ | 0.1309 | 2050 | 0.0001 | - |
196
+ | 0.1341 | 2100 | 0.0001 | - |
197
+ | 0.1373 | 2150 | 0.0001 | - |
198
+ | 0.1405 | 2200 | 0.0001 | - |
199
+ | 0.1437 | 2250 | 0.0001 | - |
200
+ | 0.1469 | 2300 | 0.0001 | - |
201
+ | 0.1501 | 2350 | 0.0001 | - |
202
+ | 0.1533 | 2400 | 0.0001 | - |
203
+ | 0.1565 | 2450 | 0.0002 | - |
204
+ | 0.1597 | 2500 | 0.0001 | - |
205
+ | 0.1629 | 2550 | 0.0001 | - |
206
+ | 0.1661 | 2600 | 0.0134 | - |
207
+ | 0.1693 | 2650 | 0.0001 | - |
208
+ | 0.1724 | 2700 | 0.0001 | - |
209
+ | 0.1756 | 2750 | 0.0016 | - |
210
+ | 0.1788 | 2800 | 0.0001 | - |
211
+ | 0.1820 | 2850 | 0.0001 | - |
212
+ | 0.1852 | 2900 | 0.0002 | - |
213
+ | 0.1884 | 2950 | 0.0001 | - |
214
+ | 0.1916 | 3000 | 0.0066 | - |
215
+ | 0.1948 | 3050 | 0.0001 | - |
216
+ | 0.1980 | 3100 | 0.0001 | - |
217
+ | 0.2012 | 3150 | 0.0005 | - |
218
+ | 0.2044 | 3200 | 0.0001 | - |
219
+ | 0.2076 | 3250 | 0.0001 | - |
220
+ | 0.2108 | 3300 | 0.0001 | - |
221
+ | 0.2140 | 3350 | 0.0001 | - |
222
+ | 0.2172 | 3400 | 0.0001 | - |
223
+ | 0.2203 | 3450 | 0.0 | - |
224
+ | 0.2235 | 3500 | 0.0001 | - |
225
+ | 0.2267 | 3550 | 0.0 | - |
226
+ | 0.2299 | 3600 | 0.0 | - |
227
+ | 0.2331 | 3650 | 0.021 | - |
228
+ | 0.2363 | 3700 | 0.0001 | - |
229
+ | 0.2395 | 3750 | 0.0 | - |
230
+ | 0.2427 | 3800 | 0.0 | - |
231
+ | 0.2459 | 3850 | 0.0 | - |
232
+ | 0.2491 | 3900 | 0.0 | - |
233
+ | 0.2523 | 3950 | 0.0 | - |
234
+ | 0.2555 | 4000 | 0.0 | - |
235
+ | 0.2587 | 4050 | 0.0001 | - |
236
+ | 0.2619 | 4100 | 0.0 | - |
237
+ | 0.2651 | 4150 | 0.0 | - |
238
+ | 0.2683 | 4200 | 0.0016 | - |
239
+ | 0.2714 | 4250 | 0.0 | - |
240
+ | 0.2746 | 4300 | 0.001 | - |
241
+ | 0.2778 | 4350 | 0.0001 | - |
242
+ | 0.2810 | 4400 | 0.0002 | - |
243
+ | 0.2842 | 4450 | 0.0 | - |
244
+ | 0.2874 | 4500 | 0.0001 | - |
245
+ | 0.2906 | 4550 | 0.0001 | - |
246
+ | 0.2938 | 4600 | 0.0002 | - |
247
+ | 0.2970 | 4650 | 0.0 | - |
248
+ | 0.3002 | 4700 | 0.0305 | - |
249
+ | 0.3034 | 4750 | 0.0 | - |
250
+ | 0.3066 | 4800 | 0.0 | - |
251
+ | 0.3098 | 4850 | 0.0 | - |
252
+ | 0.3130 | 4900 | 0.0 | - |
253
+ | 0.3162 | 4950 | 0.0 | - |
254
+ | 0.3193 | 5000 | 0.0 | - |
255
+ | 0.3225 | 5050 | 0.0 | - |
256
+ | 0.3257 | 5100 | 0.0 | - |
257
+ | 0.3289 | 5150 | 0.0 | - |
258
+ | 0.3321 | 5200 | 0.0 | - |
259
+ | 0.3353 | 5250 | 0.0 | - |
260
+ | 0.3385 | 5300 | 0.0 | - |
261
+ | 0.3417 | 5350 | 0.0 | - |
262
+ | 0.3449 | 5400 | 0.0 | - |
263
+ | 0.3481 | 5450 | 0.0 | - |
264
+ | 0.3513 | 5500 | 0.0 | - |
265
+ | 0.3545 | 5550 | 0.0 | - |
266
+ | 0.3577 | 5600 | 0.0 | - |
267
+ | 0.3609 | 5650 | 0.0 | - |
268
+ | 0.3641 | 5700 | 0.0 | - |
269
+ | 0.3672 | 5750 | 0.0 | - |
270
+ | 0.3704 | 5800 | 0.0 | - |
271
+ | 0.3736 | 5850 | 0.0001 | - |
272
+ | 0.3768 | 5900 | 0.0 | - |
273
+ | 0.3800 | 5950 | 0.0 | - |
274
+ | 0.3832 | 6000 | 0.0 | - |
275
+ | 0.3864 | 6050 | 0.0 | - |
276
+ | 0.3896 | 6100 | 0.0 | - |
277
+ | 0.3928 | 6150 | 0.0001 | - |
278
+ | 0.3960 | 6200 | 0.0002 | - |
279
+ | 0.3992 | 6250 | 0.0 | - |
280
+ | 0.4024 | 6300 | 0.0 | - |
281
+ | 0.4056 | 6350 | 0.0 | - |
282
+ | 0.4088 | 6400 | 0.0 | - |
283
+ | 0.4120 | 6450 | 0.0 | - |
284
+ | 0.4151 | 6500 | 0.0 | - |
285
+ | 0.4183 | 6550 | 0.0 | - |
286
+ | 0.4215 | 6600 | 0.0 | - |
287
+ | 0.4247 | 6650 | 0.0 | - |
288
+ | 0.4279 | 6700 | 0.0 | - |
289
+ | 0.4311 | 6750 | 0.0 | - |
290
+ | 0.4343 | 6800 | 0.0 | - |
291
+ | 0.4375 | 6850 | 0.0 | - |
292
+ | 0.4407 | 6900 | 0.0 | - |
293
+ | 0.4439 | 6950 | 0.0 | - |
294
+ | 0.4471 | 7000 | 0.0 | - |
295
+ | 0.4503 | 7050 | 0.0 | - |
296
+ | 0.4535 | 7100 | 0.0 | - |
297
+ | 0.4567 | 7150 | 0.0 | - |
298
+ | 0.4599 | 7200 | 0.0 | - |
299
+ | 0.4631 | 7250 | 0.0 | - |
300
+ | 0.4662 | 7300 | 0.0 | - |
301
+ | 0.4694 | 7350 | 0.0 | - |
302
+ | 0.4726 | 7400 | 0.0 | - |
303
+ | 0.4758 | 7450 | 0.0 | - |
304
+ | 0.4790 | 7500 | 0.0 | - |
305
+ | 0.4822 | 7550 | 0.0 | - |
306
+ | 0.4854 | 7600 | 0.0 | - |
307
+ | 0.4886 | 7650 | 0.0 | - |
308
+ | 0.4918 | 7700 | 0.0 | - |
309
+ | 0.4950 | 7750 | 0.0 | - |
310
+ | 0.4982 | 7800 | 0.0 | - |
311
+ | 0.5014 | 7850 | 0.0 | - |
312
+ | 0.5046 | 7900 | 0.0 | - |
313
+ | 0.5078 | 7950 | 0.0 | - |
314
+ | 0.5110 | 8000 | 0.0 | - |
315
+ | 0.5141 | 8050 | 0.0 | - |
316
+ | 0.5173 | 8100 | 0.0 | - |
317
+ | 0.5205 | 8150 | 0.0 | - |
318
+ | 0.5237 | 8200 | 0.0 | - |
319
+ | 0.5269 | 8250 | 0.0 | - |
320
+ | 0.5301 | 8300 | 0.0 | - |
321
+ | 0.5333 | 8350 | 0.0 | - |
322
+ | 0.5365 | 8400 | 0.0 | - |
323
+ | 0.5397 | 8450 | 0.0 | - |
324
+ | 0.5429 | 8500 | 0.0 | - |
325
+ | 0.5461 | 8550 | 0.0 | - |
326
+ | 0.5493 | 8600 | 0.0 | - |
327
+ | 0.5525 | 8650 | 0.0 | - |
328
+ | 0.5557 | 8700 | 0.0 | - |
329
+ | 0.5589 | 8750 | 0.0 | - |
330
+ | 0.5620 | 8800 | 0.0 | - |
331
+ | 0.5652 | 8850 | 0.0 | - |
332
+ | 0.5684 | 8900 | 0.0 | - |
333
+ | 0.5716 | 8950 | 0.0 | - |
334
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335
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336
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530
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532
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533
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536
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537
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538
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539
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540
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541
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543
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544
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545
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546
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547
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548
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549
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550
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551
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552
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553
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559
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560
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561
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562
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563
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564
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565
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566
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567
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568
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569
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570
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571
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573
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580
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591
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592
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610
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614
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616
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618
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620
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621
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623
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627
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628
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629
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630
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631
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632
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636
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638
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639
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640
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643
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647
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651
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653
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654
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656
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657
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659
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660
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661
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662
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663
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664
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665
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668
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669
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670
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673
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675
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676
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677
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678
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679
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680
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681
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682
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683
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684
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685
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686
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687
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688
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689
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690
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691
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692
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693
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694
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695
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696
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697
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698
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699
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700
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701
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702
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703
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704
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705
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707
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708
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709
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710
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711
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712
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715
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716
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717
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718
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719
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720
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721
+ | 1.8075 | 28300 | 0.0 | - |
722
+ | 1.8107 | 28350 | 0.0 | - |
723
+ | 1.8139 | 28400 | 0.0 | - |
724
+ | 1.8171 | 28450 | 0.0 | - |
725
+ | 1.8203 | 28500 | 0.0 | - |
726
+ | 1.8235 | 28550 | 0.0 | - |
727
+ | 1.8267 | 28600 | 0.0 | - |
728
+ | 1.8299 | 28650 | 0.0 | - |
729
+ | 1.8330 | 28700 | 0.0 | - |
730
+ | 1.8362 | 28750 | 0.0 | - |
731
+ | 1.8394 | 28800 | 0.0 | - |
732
+ | 1.8426 | 28850 | 0.0 | - |
733
+ | 1.8458 | 28900 | 0.0 | - |
734
+ | 1.8490 | 28950 | 0.0 | - |
735
+ | 1.8522 | 29000 | 0.0 | - |
736
+ | 1.8554 | 29050 | 0.0 | - |
737
+ | 1.8586 | 29100 | 0.0 | - |
738
+ | 1.8618 | 29150 | 0.0 | - |
739
+ | 1.8650 | 29200 | 0.0 | - |
740
+ | 1.8682 | 29250 | 0.0 | - |
741
+ | 1.8714 | 29300 | 0.0 | - |
742
+ | 1.8746 | 29350 | 0.0 | - |
743
+ | 1.8778 | 29400 | 0.0 | - |
744
+ | 1.8809 | 29450 | 0.0 | - |
745
+ | 1.8841 | 29500 | 0.0 | - |
746
+ | 1.8873 | 29550 | 0.0 | - |
747
+ | 1.8905 | 29600 | 0.0 | - |
748
+ | 1.8937 | 29650 | 0.0 | - |
749
+ | 1.8969 | 29700 | 0.0 | - |
750
+ | 1.9001 | 29750 | 0.0 | - |
751
+ | 1.9033 | 29800 | 0.0 | - |
752
+ | 1.9065 | 29850 | 0.0 | - |
753
+ | 1.9097 | 29900 | 0.0 | - |
754
+ | 1.9129 | 29950 | 0.0 | - |
755
+ | 1.9161 | 30000 | 0.0 | - |
756
+ | 1.9193 | 30050 | 0.0 | - |
757
+ | 1.9225 | 30100 | 0.0 | - |
758
+ | 1.9257 | 30150 | 0.0 | - |
759
+ | 1.9288 | 30200 | 0.0 | - |
760
+ | 1.9320 | 30250 | 0.0 | - |
761
+ | 1.9352 | 30300 | 0.0 | - |
762
+ | 1.9384 | 30350 | 0.0 | - |
763
+ | 1.9416 | 30400 | 0.0 | - |
764
+ | 1.9448 | 30450 | 0.0 | - |
765
+ | 1.9480 | 30500 | 0.0 | - |
766
+ | 1.9512 | 30550 | 0.0 | - |
767
+ | 1.9544 | 30600 | 0.0 | - |
768
+ | 1.9576 | 30650 | 0.0 | - |
769
+ | 1.9608 | 30700 | 0.0 | - |
770
+ | 1.9640 | 30750 | 0.0 | - |
771
+ | 1.9672 | 30800 | 0.0 | - |
772
+ | 1.9704 | 30850 | 0.0 | - |
773
+ | 1.9736 | 30900 | 0.0 | - |
774
+ | 1.9768 | 30950 | 0.0 | - |
775
+ | 1.9799 | 31000 | 0.0 | - |
776
+ | 1.9831 | 31050 | 0.0 | - |
777
+ | 1.9863 | 31100 | 0.0 | - |
778
+ | 1.9895 | 31150 | 0.0 | - |
779
+ | 1.9927 | 31200 | 0.0 | - |
780
+ | 1.9959 | 31250 | 0.0 | - |
781
+ | 1.9991 | 31300 | 0.0 | - |
782
+ | **2.0** | **31314** | **-** | **0.2634** |
783
+ | 2.0023 | 31350 | 0.0 | - |
784
+ | 2.0055 | 31400 | 0.0 | - |
785
+ | 2.0087 | 31450 | 0.0 | - |
786
+ | 2.0119 | 31500 | 0.0 | - |
787
+ | 2.0151 | 31550 | 0.0 | - |
788
+ | 2.0183 | 31600 | 0.0 | - |
789
+ | 2.0215 | 31650 | 0.0 | - |
790
+ | 2.0247 | 31700 | 0.0 | - |
791
+ | 2.0278 | 31750 | 0.0 | - |
792
+ | 2.0310 | 31800 | 0.0 | - |
793
+ | 2.0342 | 31850 | 0.0 | - |
794
+ | 2.0374 | 31900 | 0.0 | - |
795
+ | 2.0406 | 31950 | 0.0 | - |
796
+ | 2.0438 | 32000 | 0.0 | - |
797
+ | 2.0470 | 32050 | 0.0 | - |
798
+ | 2.0502 | 32100 | 0.0 | - |
799
+ | 2.0534 | 32150 | 0.0 | - |
800
+ | 2.0566 | 32200 | 0.0 | - |
801
+ | 2.0598 | 32250 | 0.0 | - |
802
+ | 2.0630 | 32300 | 0.0 | - |
803
+ | 2.0662 | 32350 | 0.0 | - |
804
+ | 2.0694 | 32400 | 0.0 | - |
805
+ | 2.0726 | 32450 | 0.0 | - |
806
+ | 2.0757 | 32500 | 0.0 | - |
807
+ | 2.0789 | 32550 | 0.0 | - |
808
+ | 2.0821 | 32600 | 0.0 | - |
809
+ | 2.0853 | 32650 | 0.0 | - |
810
+ | 2.0885 | 32700 | 0.0 | - |
811
+ | 2.0917 | 32750 | 0.0 | - |
812
+ | 2.0949 | 32800 | 0.0 | - |
813
+ | 2.0981 | 32850 | 0.0 | - |
814
+ | 2.1013 | 32900 | 0.0 | - |
815
+ | 2.1045 | 32950 | 0.0 | - |
816
+ | 2.1077 | 33000 | 0.0 | - |
817
+ | 2.1109 | 33050 | 0.0 | - |
818
+ | 2.1141 | 33100 | 0.0 | - |
819
+ | 2.1173 | 33150 | 0.0 | - |
820
+ | 2.1205 | 33200 | 0.0 | - |
821
+ | 2.1237 | 33250 | 0.0 | - |
822
+ | 2.1268 | 33300 | 0.0 | - |
823
+ | 2.1300 | 33350 | 0.0 | - |
824
+ | 2.1332 | 33400 | 0.0 | - |
825
+ | 2.1364 | 33450 | 0.0 | - |
826
+ | 2.1396 | 33500 | 0.0 | - |
827
+ | 2.1428 | 33550 | 0.0 | - |
828
+ | 2.1460 | 33600 | 0.0 | - |
829
+ | 2.1492 | 33650 | 0.0 | - |
830
+ | 2.1524 | 33700 | 0.0 | - |
831
+ | 2.1556 | 33750 | 0.0 | - |
832
+ | 2.1588 | 33800 | 0.0 | - |
833
+ | 2.1620 | 33850 | 0.0 | - |
834
+ | 2.1652 | 33900 | 0.0 | - |
835
+ | 2.1684 | 33950 | 0.0 | - |
836
+ | 2.1716 | 34000 | 0.0 | - |
837
+ | 2.1747 | 34050 | 0.0 | - |
838
+ | 2.1779 | 34100 | 0.0 | - |
839
+ | 2.1811 | 34150 | 0.0 | - |
840
+ | 2.1843 | 34200 | 0.0 | - |
841
+ | 2.1875 | 34250 | 0.0 | - |
842
+ | 2.1907 | 34300 | 0.0 | - |
843
+ | 2.1939 | 34350 | 0.0 | - |
844
+ | 2.1971 | 34400 | 0.0 | - |
845
+ | 2.2003 | 34450 | 0.0 | - |
846
+ | 2.2035 | 34500 | 0.0 | - |
847
+ | 2.2067 | 34550 | 0.0 | - |
848
+ | 2.2099 | 34600 | 0.0 | - |
849
+ | 2.2131 | 34650 | 0.0 | - |
850
+ | 2.2163 | 34700 | 0.0 | - |
851
+ | 2.2195 | 34750 | 0.0 | - |
852
+ | 2.2226 | 34800 | 0.0 | - |
853
+ | 2.2258 | 34850 | 0.0 | - |
854
+ | 2.2290 | 34900 | 0.0 | - |
855
+ | 2.2322 | 34950 | 0.0 | - |
856
+ | 2.2354 | 35000 | 0.0 | - |
857
+ | 2.2386 | 35050 | 0.0 | - |
858
+ | 2.2418 | 35100 | 0.0 | - |
859
+ | 2.2450 | 35150 | 0.0 | - |
860
+ | 2.2482 | 35200 | 0.0 | - |
861
+ | 2.2514 | 35250 | 0.0 | - |
862
+ | 2.2546 | 35300 | 0.0 | - |
863
+ | 2.2578 | 35350 | 0.0 | - |
864
+ | 2.2610 | 35400 | 0.0 | - |
865
+ | 2.2642 | 35450 | 0.0 | - |
866
+ | 2.2674 | 35500 | 0.0 | - |
867
+ | 2.2705 | 35550 | 0.0 | - |
868
+ | 2.2737 | 35600 | 0.0 | - |
869
+ | 2.2769 | 35650 | 0.0 | - |
870
+ | 2.2801 | 35700 | 0.0 | - |
871
+ | 2.2833 | 35750 | 0.0 | - |
872
+ | 2.2865 | 35800 | 0.0 | - |
873
+ | 2.2897 | 35850 | 0.0 | - |
874
+ | 2.2929 | 35900 | 0.0 | - |
875
+ | 2.2961 | 35950 | 0.0 | - |
876
+ | 2.2993 | 36000 | 0.0 | - |
877
+ | 2.3025 | 36050 | 0.0 | - |
878
+ | 2.3057 | 36100 | 0.0 | - |
879
+ | 2.3089 | 36150 | 0.0 | - |
880
+ | 2.3121 | 36200 | 0.0 | - |
881
+ | 2.3153 | 36250 | 0.0 | - |
882
+ | 2.3185 | 36300 | 0.0 | - |
883
+ | 2.3216 | 36350 | 0.0 | - |
884
+ | 2.3248 | 36400 | 0.0 | - |
885
+ | 2.3280 | 36450 | 0.0 | - |
886
+ | 2.3312 | 36500 | 0.0 | - |
887
+ | 2.3344 | 36550 | 0.0 | - |
888
+ | 2.3376 | 36600 | 0.0 | - |
889
+ | 2.3408 | 36650 | 0.0 | - |
890
+ | 2.3440 | 36700 | 0.0 | - |
891
+ | 2.3472 | 36750 | 0.0 | - |
892
+ | 2.3504 | 36800 | 0.0 | - |
893
+ | 2.3536 | 36850 | 0.0 | - |
894
+ | 2.3568 | 36900 | 0.0 | - |
895
+ | 2.3600 | 36950 | 0.0 | - |
896
+ | 2.3632 | 37000 | 0.0 | - |
897
+ | 2.3664 | 37050 | 0.0 | - |
898
+ | 2.3695 | 37100 | 0.0 | - |
899
+ | 2.3727 | 37150 | 0.0 | - |
900
+ | 2.3759 | 37200 | 0.0 | - |
901
+ | 2.3791 | 37250 | 0.0 | - |
902
+ | 2.3823 | 37300 | 0.0 | - |
903
+ | 2.3855 | 37350 | 0.0 | - |
904
+ | 2.3887 | 37400 | 0.0 | - |
905
+ | 2.3919 | 37450 | 0.0 | - |
906
+ | 2.3951 | 37500 | 0.0 | - |
907
+ | 2.3983 | 37550 | 0.0 | - |
908
+ | 2.4015 | 37600 | 0.0 | - |
909
+ | 2.4047 | 37650 | 0.0 | - |
910
+ | 2.4079 | 37700 | 0.0 | - |
911
+ | 2.4111 | 37750 | 0.0 | - |
912
+ | 2.4143 | 37800 | 0.0 | - |
913
+ | 2.4174 | 37850 | 0.0 | - |
914
+ | 2.4206 | 37900 | 0.0 | - |
915
+ | 2.4238 | 37950 | 0.0 | - |
916
+ | 2.4270 | 38000 | 0.0 | - |
917
+ | 2.4302 | 38050 | 0.0 | - |
918
+ | 2.4334 | 38100 | 0.0 | - |
919
+ | 2.4366 | 38150 | 0.0 | - |
920
+ | 2.4398 | 38200 | 0.0 | - |
921
+ | 2.4430 | 38250 | 0.0 | - |
922
+ | 2.4462 | 38300 | 0.0 | - |
923
+ | 2.4494 | 38350 | 0.0 | - |
924
+ | 2.4526 | 38400 | 0.0 | - |
925
+ | 2.4558 | 38450 | 0.0 | - |
926
+ | 2.4590 | 38500 | 0.0 | - |
927
+ | 2.4622 | 38550 | 0.0 | - |
928
+ | 2.4654 | 38600 | 0.0 | - |
929
+ | 2.4685 | 38650 | 0.0 | - |
930
+ | 2.4717 | 38700 | 0.0 | - |
931
+ | 2.4749 | 38750 | 0.0 | - |
932
+ | 2.4781 | 38800 | 0.0 | - |
933
+ | 2.4813 | 38850 | 0.0 | - |
934
+ | 2.4845 | 38900 | 0.0 | - |
935
+ | 2.4877 | 38950 | 0.0 | - |
936
+ | 2.4909 | 39000 | 0.0 | - |
937
+ | 2.4941 | 39050 | 0.0 | - |
938
+ | 2.4973 | 39100 | 0.0 | - |
939
+ | 2.5005 | 39150 | 0.0 | - |
940
+ | 2.5037 | 39200 | 0.0 | - |
941
+ | 2.5069 | 39250 | 0.0 | - |
942
+ | 2.5101 | 39300 | 0.0 | - |
943
+ | 2.5133 | 39350 | 0.0 | - |
944
+ | 2.5164 | 39400 | 0.0 | - |
945
+ | 2.5196 | 39450 | 0.0 | - |
946
+ | 2.5228 | 39500 | 0.0 | - |
947
+ | 2.5260 | 39550 | 0.0 | - |
948
+ | 2.5292 | 39600 | 0.0 | - |
949
+ | 2.5324 | 39650 | 0.0 | - |
950
+ | 2.5356 | 39700 | 0.0 | - |
951
+ | 2.5388 | 39750 | 0.0 | - |
952
+ | 2.5420 | 39800 | 0.0 | - |
953
+ | 2.5452 | 39850 | 0.0 | - |
954
+ | 2.5484 | 39900 | 0.0 | - |
955
+ | 2.5516 | 39950 | 0.0 | - |
956
+ | 2.5548 | 40000 | 0.0 | - |
957
+ | 2.5580 | 40050 | 0.0 | - |
958
+ | 2.5612 | 40100 | 0.0 | - |
959
+ | 2.5643 | 40150 | 0.0 | - |
960
+ | 2.5675 | 40200 | 0.0 | - |
961
+ | 2.5707 | 40250 | 0.0 | - |
962
+ | 2.5739 | 40300 | 0.0 | - |
963
+ | 2.5771 | 40350 | 0.0 | - |
964
+ | 2.5803 | 40400 | 0.0 | - |
965
+ | 2.5835 | 40450 | 0.0 | - |
966
+ | 2.5867 | 40500 | 0.0 | - |
967
+ | 2.5899 | 40550 | 0.0 | - |
968
+ | 2.5931 | 40600 | 0.0 | - |
969
+ | 2.5963 | 40650 | 0.0 | - |
970
+ | 2.5995 | 40700 | 0.0 | - |
971
+ | 2.6027 | 40750 | 0.0 | - |
972
+ | 2.6059 | 40800 | 0.0 | - |
973
+ | 2.6091 | 40850 | 0.0 | - |
974
+ | 2.6123 | 40900 | 0.0 | - |
975
+ | 2.6154 | 40950 | 0.0 | - |
976
+ | 2.6186 | 41000 | 0.0 | - |
977
+ | 2.6218 | 41050 | 0.0 | - |
978
+ | 2.6250 | 41100 | 0.0 | - |
979
+ | 2.6282 | 41150 | 0.0 | - |
980
+ | 2.6314 | 41200 | 0.0 | - |
981
+ | 2.6346 | 41250 | 0.0 | - |
982
+ | 2.6378 | 41300 | 0.0 | - |
983
+ | 2.6410 | 41350 | 0.0 | - |
984
+ | 2.6442 | 41400 | 0.0 | - |
985
+ | 2.6474 | 41450 | 0.0 | - |
986
+ | 2.6506 | 41500 | 0.0 | - |
987
+ | 2.6538 | 41550 | 0.0 | - |
988
+ | 2.6570 | 41600 | 0.0 | - |
989
+ | 2.6602 | 41650 | 0.0 | - |
990
+ | 2.6633 | 41700 | 0.0 | - |
991
+ | 2.6665 | 41750 | 0.0 | - |
992
+ | 2.6697 | 41800 | 0.0 | - |
993
+ | 2.6729 | 41850 | 0.0 | - |
994
+ | 2.6761 | 41900 | 0.0 | - |
995
+ | 2.6793 | 41950 | 0.0 | - |
996
+ | 2.6825 | 42000 | 0.0 | - |
997
+ | 2.6857 | 42050 | 0.0 | - |
998
+ | 2.6889 | 42100 | 0.0 | - |
999
+ | 2.6921 | 42150 | 0.0 | - |
1000
+ | 2.6953 | 42200 | 0.0 | - |
1001
+ | 2.6985 | 42250 | 0.0 | - |
1002
+ | 2.7017 | 42300 | 0.0 | - |
1003
+ | 2.7049 | 42350 | 0.0 | - |
1004
+ | 2.7081 | 42400 | 0.0 | - |
1005
+ | 2.7112 | 42450 | 0.0 | - |
1006
+ | 2.7144 | 42500 | 0.0 | - |
1007
+ | 2.7176 | 42550 | 0.0 | - |
1008
+ | 2.7208 | 42600 | 0.0 | - |
1009
+ | 2.7240 | 42650 | 0.0 | - |
1010
+ | 2.7272 | 42700 | 0.0 | - |
1011
+ | 2.7304 | 42750 | 0.0 | - |
1012
+ | 2.7336 | 42800 | 0.0 | - |
1013
+ | 2.7368 | 42850 | 0.0 | - |
1014
+ | 2.7400 | 42900 | 0.0 | - |
1015
+ | 2.7432 | 42950 | 0.0 | - |
1016
+ | 2.7464 | 43000 | 0.0 | - |
1017
+ | 2.7496 | 43050 | 0.0 | - |
1018
+ | 2.7528 | 43100 | 0.0 | - |
1019
+ | 2.7560 | 43150 | 0.0 | - |
1020
+ | 2.7591 | 43200 | 0.0 | - |
1021
+ | 2.7623 | 43250 | 0.0 | - |
1022
+ | 2.7655 | 43300 | 0.0 | - |
1023
+ | 2.7687 | 43350 | 0.0 | - |
1024
+ | 2.7719 | 43400 | 0.0 | - |
1025
+ | 2.7751 | 43450 | 0.0 | - |
1026
+ | 2.7783 | 43500 | 0.0 | - |
1027
+ | 2.7815 | 43550 | 0.0 | - |
1028
+ | 2.7847 | 43600 | 0.0 | - |
1029
+ | 2.7879 | 43650 | 0.0 | - |
1030
+ | 2.7911 | 43700 | 0.0 | - |
1031
+ | 2.7943 | 43750 | 0.0 | - |
1032
+ | 2.7975 | 43800 | 0.0 | - |
1033
+ | 2.8007 | 43850 | 0.0 | - |
1034
+ | 2.8039 | 43900 | 0.0 | - |
1035
+ | 2.8071 | 43950 | 0.0 | - |
1036
+ | 2.8102 | 44000 | 0.0 | - |
1037
+ | 2.8134 | 44050 | 0.0 | - |
1038
+ | 2.8166 | 44100 | 0.0 | - |
1039
+ | 2.8198 | 44150 | 0.0 | - |
1040
+ | 2.8230 | 44200 | 0.0 | - |
1041
+ | 2.8262 | 44250 | 0.0 | - |
1042
+ | 2.8294 | 44300 | 0.0 | - |
1043
+ | 2.8326 | 44350 | 0.0 | - |
1044
+ | 2.8358 | 44400 | 0.0 | - |
1045
+ | 2.8390 | 44450 | 0.0 | - |
1046
+ | 2.8422 | 44500 | 0.0 | - |
1047
+ | 2.8454 | 44550 | 0.0 | - |
1048
+ | 2.8486 | 44600 | 0.0 | - |
1049
+ | 2.8518 | 44650 | 0.0 | - |
1050
+ | 2.8550 | 44700 | 0.0 | - |
1051
+ | 2.8581 | 44750 | 0.0 | - |
1052
+ | 2.8613 | 44800 | 0.0 | - |
1053
+ | 2.8645 | 44850 | 0.0 | - |
1054
+ | 2.8677 | 44900 | 0.0 | - |
1055
+ | 2.8709 | 44950 | 0.0 | - |
1056
+ | 2.8741 | 45000 | 0.0 | - |
1057
+ | 2.8773 | 45050 | 0.0 | - |
1058
+ | 2.8805 | 45100 | 0.0 | - |
1059
+ | 2.8837 | 45150 | 0.0 | - |
1060
+ | 2.8869 | 45200 | 0.0 | - |
1061
+ | 2.8901 | 45250 | 0.0 | - |
1062
+ | 2.8933 | 45300 | 0.0 | - |
1063
+ | 2.8965 | 45350 | 0.0 | - |
1064
+ | 2.8997 | 45400 | 0.0 | - |
1065
+ | 2.9029 | 45450 | 0.0 | - |
1066
+ | 2.9060 | 45500 | 0.0 | - |
1067
+ | 2.9092 | 45550 | 0.0 | - |
1068
+ | 2.9124 | 45600 | 0.0 | - |
1069
+ | 2.9156 | 45650 | 0.0 | - |
1070
+ | 2.9188 | 45700 | 0.0 | - |
1071
+ | 2.9220 | 45750 | 0.0 | - |
1072
+ | 2.9252 | 45800 | 0.0 | - |
1073
+ | 2.9284 | 45850 | 0.0 | - |
1074
+ | 2.9316 | 45900 | 0.0 | - |
1075
+ | 2.9348 | 45950 | 0.0 | - |
1076
+ | 2.9380 | 46000 | 0.0 | - |
1077
+ | 2.9412 | 46050 | 0.0 | - |
1078
+ | 2.9444 | 46100 | 0.0 | - |
1079
+ | 2.9476 | 46150 | 0.0 | - |
1080
+ | 2.9508 | 46200 | 0.0 | - |
1081
+ | 2.9540 | 46250 | 0.0 | - |
1082
+ | 2.9571 | 46300 | 0.0 | - |
1083
+ | 2.9603 | 46350 | 0.0 | - |
1084
+ | 2.9635 | 46400 | 0.0 | - |
1085
+ | 2.9667 | 46450 | 0.0 | - |
1086
+ | 2.9699 | 46500 | 0.0 | - |
1087
+ | 2.9731 | 46550 | 0.0 | - |
1088
+ | 2.9763 | 46600 | 0.0 | - |
1089
+ | 2.9795 | 46650 | 0.0 | - |
1090
+ | 2.9827 | 46700 | 0.0 | - |
1091
+ | 2.9859 | 46750 | 0.0 | - |
1092
+ | 2.9891 | 46800 | 0.0 | - |
1093
+ | 2.9923 | 46850 | 0.0 | - |
1094
+ | 2.9955 | 46900 | 0.0 | - |
1095
+ | 2.9987 | 46950 | 0.0 | - |
1096
+ | 3.0 | 46971 | - | 0.2651 |
1097
 
1098
  * The bold row denotes the saved checkpoint.
1099
  ### Framework Versions
config.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
- "_name_or_path": "checkpoints/step_23037/",
3
  "_num_labels": 5,
4
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