---
library_name: setfit
tags:
- setfit
- absa
- sentence-transformers
- text-classification
- generated_from_setfit_trainer
metrics:
- accuracy
widget:
- text: Tempatnya:Tempatnya lumayan bagus di jalan lintas propinsi
- text: orang:Makanan disini sangat enak , pelayanannya juga Ramah, saat saya datang
tidak begtu banyak orang .. kamar mandi juga bersih aku akan kembali lagi kesini
- text: Pelayanan:Tempatnya strategis, makanan enak. Pelayanan cepat, pokoknya maknyuuus
deh. Kapan2 nanti pgn mampir lagi sambil nongki sama temen2
- text: Restoran:Restoran cepat saji dengan pelayanan yang baik, bersih dan tidak
terlalu mahal. Ayam Goreng Pedas adalah hidangan favoritku. Burger Double Cheese
bisa menjadi makanan bawa pulang terbaik bagi orang-orang yang sedang terburu-buru
- text: pelayanan:Alhamdulillah… Makananannya enak, suasananya lumayan tenang, pelayanan
dari Teh Putri dan Teh Andini luar biasa membantu… …
pipeline_tag: text-classification
inference: false
---
# SetFit Aspect Model
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Aspect Based Sentiment Analysis (ABSA). A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification. In particular, this model is in charge of filtering aspect span candidates.
The model has been trained using an efficient few-shot learning technique that involves:
1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
2. Training a classification head with features from the fine-tuned Sentence Transformer.
This model was trained within the context of a larger system for ABSA, which looks like so:
1. Use a spaCy model to select possible aspect span candidates.
2. **Use this SetFit model to filter these possible aspect span candidates.**
3. Use a SetFit model to classify the filtered aspect span candidates.
## Model Details
### Model Description
- **Model Type:** SetFit
- **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
- **spaCy Model:** id_core_news_trf
- **SetFitABSA Aspect Model:** [pupugu02/absa-setfit-resto-aspect](https://huggingface.co/pupugu02/absa-setfit-resto-aspect)
- **SetFitABSA Polarity Model:** [pupugu02/absa-setfit-resto-polarity](https://huggingface.co/pupugu02/absa-setfit-resto-polarity)
- **Maximum Sequence Length:** 512 tokens
- **Number of Classes:** 2 classes
### Model Sources
- **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit)
- **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
### Model Labels
| Label | Examples |
|:----------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| aspect | - 'tempat:Mcd selalu jadi tempat ternyaman untuk me time, selain tempat yang Sangat bersih dan nyaman, mcdonals juga selalu menjaga kualitas makanan. Bagi saya mcd sangat affdorable dan worth it, selain itu paling digemari oleh kalangan anak muda dan anak anak sangat menyukai ayam nya.'
- 'tempat:Makanan nya enak n harga nya juga murah.. View nya bagus dan ada tempat buat bermain anak2.. Naek beca ato perahu angsa..'
- 'pelayanan:McDonald’s adalah menjadi restoran cepat saji dengan pelayanan terbaik di dunia. Untuk mencapai visi ini, McDonald’s selalu menjamin mutu produk-produknya, memberikan pelayanan yang memuaskan, menawarkan kebersihan dan keamanan produk …'
|
| no aspect | - 'Mcd:Mcd selalu jadi tempat ternyaman untuk me time, selain tempat yang Sangat bersih dan nyaman, mcdonals juga selalu menjaga kualitas makanan. Bagi saya mcd sangat affdorable dan worth it, selain itu paling digemari oleh kalangan anak muda dan anak anak sangat menyukai ayam nya.'
- 'tempat:Mcd selalu jadi tempat ternyaman untuk me time, selain tempat yang Sangat bersih dan nyaman, mcdonals juga selalu menjaga kualitas makanan. Bagi saya mcd sangat affdorable dan worth it, selain itu paling digemari oleh kalangan anak muda dan anak anak sangat menyukai ayam nya.'
- 'me time:Mcd selalu jadi tempat ternyaman untuk me time, selain tempat yang Sangat bersih dan nyaman, mcdonals juga selalu menjaga kualitas makanan. Bagi saya mcd sangat affdorable dan worth it, selain itu paling digemari oleh kalangan anak muda dan anak anak sangat menyukai ayam nya.'
|
## Uses
### Direct Use for Inference
First install the SetFit library:
```bash
pip install setfit
```
Then you can load this model and run inference.
```python
from setfit import AbsaModel
# Download from the 🤗 Hub
model = AbsaModel.from_pretrained(
"pupugu02/absa-setfit-resto-aspect",
"pupugu02/absa-setfit-resto-polarity",
)
# Run inference
preds = model("The food was great, but the venue is just way too busy.")
```
## Training Details
### Training Set Metrics
| Training set | Min | Median | Max |
|:-------------|:----|:--------|:----|
| Word count | 2 | 28.1010 | 61 |
| Label | Training Sample Count |
|:----------|:----------------------|
| no aspect | 2653 |
| aspect | 406 |
### Training Hyperparameters
- batch_size: (128, 128)
- num_epochs: (1, 1)
- max_steps: -1
- sampling_strategy: oversampling
- body_learning_rate: (2e-05, 1e-05)
- head_learning_rate: 0.01
- loss: CosineSimilarityLoss
- distance_metric: cosine_distance
- margin: 0.25
- end_to_end: False
- use_amp: True
- warmup_proportion: 0.1
- seed: 42
- eval_max_steps: -1
- load_best_model_at_end: False
### Training Results
| Epoch | Step | Training Loss | Validation Loss |
|:------:|:-----:|:-------------:|:---------------:|
| 0.0000 | 1 | 0.3793 | - |
| 0.0009 | 50 | 0.3641 | - |
| 0.0018 | 100 | 0.3647 | - |
| 0.0027 | 150 | 0.3221 | - |
| 0.0036 | 200 | 0.2554 | - |
| 0.0044 | 250 | 0.2202 | - |
| 0.0053 | 300 | 0.1798 | - |
| 0.0062 | 350 | 0.1139 | - |
| 0.0071 | 400 | 0.1069 | - |
| 0.0080 | 450 | 0.127 | - |
| 0.0089 | 500 | 0.1267 | - |
| 0.0098 | 550 | 0.0727 | - |
| 0.0107 | 600 | 0.1005 | - |
| 0.0115 | 650 | 0.0816 | - |
| 0.0124 | 700 | 0.0915 | - |
| 0.0133 | 750 | 0.0931 | - |
| 0.0142 | 800 | 0.0555 | - |
| 0.0151 | 850 | 0.0567 | - |
| 0.0160 | 900 | 0.0599 | - |
| 0.0169 | 950 | 0.0594 | - |
| 0.0178 | 1000 | 0.0586 | - |
| 0.0187 | 1050 | 0.0639 | - |
| 0.0195 | 1100 | 0.0357 | - |
| 0.0204 | 1150 | 0.0363 | - |
| 0.0213 | 1200 | 0.0316 | - |
| 0.0222 | 1250 | 0.0372 | - |
| 0.0231 | 1300 | 0.0296 | - |
| 0.0240 | 1350 | 0.0178 | - |
| 0.0249 | 1400 | 0.0157 | - |
| 0.0258 | 1450 | 0.0206 | - |
| 0.0266 | 1500 | 0.0131 | - |
| 0.0275 | 1550 | 0.018 | - |
| 0.0284 | 1600 | 0.0175 | - |
| 0.0293 | 1650 | 0.024 | - |
| 0.0302 | 1700 | 0.0313 | - |
| 0.0311 | 1750 | 0.0125 | - |
| 0.0320 | 1800 | 0.0319 | - |
| 0.0329 | 1850 | 0.0214 | - |
| 0.0337 | 1900 | 0.0031 | - |
| 0.0346 | 1950 | 0.0109 | - |
| 0.0355 | 2000 | 0.011 | - |
| 0.0364 | 2050 | 0.0019 | - |
| 0.0373 | 2100 | 0.0256 | - |
| 0.0382 | 2150 | 0.0091 | - |
| 0.0391 | 2200 | 0.0123 | - |
| 0.0400 | 2250 | 0.0077 | - |
| 0.0409 | 2300 | 0.0073 | - |
| 0.0417 | 2350 | 0.01 | - |
| 0.0426 | 2400 | 0.0111 | - |
| 0.0435 | 2450 | 0.0134 | - |
| 0.0444 | 2500 | 0.0146 | - |
| 0.0453 | 2550 | 0.0116 | - |
| 0.0462 | 2600 | 0.0066 | - |
| 0.0471 | 2650 | 0.0045 | - |
| 0.0480 | 2700 | 0.0049 | - |
| 0.0488 | 2750 | 0.0022 | - |
| 0.0497 | 2800 | 0.0093 | - |
| 0.0506 | 2850 | 0.0084 | - |
| 0.0515 | 2900 | 0.0174 | - |
| 0.0524 | 2950 | 0.0104 | - |
| 0.0533 | 3000 | 0.0143 | - |
| 0.0542 | 3050 | 0.0089 | - |
| 0.0551 | 3100 | 0.0099 | - |
| 0.0560 | 3150 | 0.0041 | - |
| 0.0568 | 3200 | 0.0006 | - |
| 0.0577 | 3250 | 0.0212 | - |
| 0.0586 | 3300 | 0.0097 | - |
| 0.0595 | 3350 | 0.0122 | - |
| 0.0604 | 3400 | 0.0064 | - |
| 0.0613 | 3450 | 0.0222 | - |
| 0.0622 | 3500 | 0.0044 | - |
| 0.0631 | 3550 | 0.0036 | - |
| 0.0639 | 3600 | 0.0091 | - |
| 0.0648 | 3650 | 0.0121 | - |
| 0.0657 | 3700 | 0.0086 | - |
| 0.0666 | 3750 | 0.0123 | - |
| 0.0675 | 3800 | 0.0188 | - |
| 0.0684 | 3850 | 0.0107 | - |
| 0.0693 | 3900 | 0.0156 | - |
| 0.0702 | 3950 | 0.0013 | - |
| 0.0710 | 4000 | 0.0183 | - |
| 0.0719 | 4050 | 0.0181 | - |
| 0.0728 | 4100 | 0.0221 | - |
| 0.0737 | 4150 | 0.0071 | - |
| 0.0746 | 4200 | 0.0143 | - |
| 0.0755 | 4250 | 0.0185 | - |
| 0.0764 | 4300 | 0.0077 | - |
| 0.0773 | 4350 | 0.0142 | - |
| 0.0782 | 4400 | 0.0011 | - |
| 0.0790 | 4450 | 0.0048 | - |
| 0.0799 | 4500 | 0.0284 | - |
| 0.0808 | 4550 | 0.0131 | - |
| 0.0817 | 4600 | 0.0176 | - |
| 0.0826 | 4650 | 0.0201 | - |
| 0.0835 | 4700 | 0.0124 | - |
| 0.0844 | 4750 | 0.0161 | - |
| 0.0853 | 4800 | 0.0086 | - |
| 0.0861 | 4850 | 0.0059 | - |
| 0.0870 | 4900 | 0.0013 | - |
| 0.0879 | 4950 | 0.0131 | - |
| 0.0888 | 5000 | 0.0049 | - |
| 0.0897 | 5050 | 0.0254 | - |
| 0.0906 | 5100 | 0.0003 | - |
| 0.0915 | 5150 | 0.0081 | - |
| 0.0924 | 5200 | 0.0084 | - |
| 0.0933 | 5250 | 0.0094 | - |
| 0.0941 | 5300 | 0.0055 | - |
| 0.0950 | 5350 | 0.002 | - |
| 0.0959 | 5400 | 0.0145 | - |
| 0.0968 | 5450 | 0.0071 | - |
| 0.0977 | 5500 | 0.0132 | - |
| 0.0986 | 5550 | 0.0396 | - |
| 0.0995 | 5600 | 0.0137 | - |
| 0.1004 | 5650 | 0.0126 | - |
| 0.1012 | 5700 | 0.0133 | - |
| 0.1021 | 5750 | 0.0044 | - |
| 0.1030 | 5800 | 0.0082 | - |
| 0.1039 | 5850 | 0.0081 | - |
| 0.1048 | 5900 | 0.0129 | - |
| 0.1057 | 5950 | 0.0105 | - |
| 0.1066 | 6000 | 0.0205 | - |
| 0.1075 | 6050 | 0.0056 | - |
| 0.1083 | 6100 | 0.0174 | - |
| 0.1092 | 6150 | 0.0128 | - |
| 0.1101 | 6200 | 0.0044 | - |
| 0.1110 | 6250 | 0.0015 | - |
| 0.1119 | 6300 | 0.0074 | - |
| 0.1128 | 6350 | 0.0095 | - |
| 0.1137 | 6400 | 0.0106 | - |
| 0.1146 | 6450 | 0.0129 | - |
| 0.1155 | 6500 | 0.0174 | - |
| 0.1163 | 6550 | 0.0113 | - |
| 0.1172 | 6600 | 0.0095 | - |
| 0.1181 | 6650 | 0.0016 | - |
| 0.1190 | 6700 | 0.0074 | - |
| 0.1199 | 6750 | 0.0049 | - |
| 0.1208 | 6800 | 0.0178 | - |
| 0.1217 | 6850 | 0.0176 | - |
| 0.1226 | 6900 | 0.0014 | - |
| 0.1234 | 6950 | 0.0113 | - |
| 0.1243 | 7000 | 0.0069 | - |
| 0.1252 | 7050 | 0.0064 | - |
| 0.1261 | 7100 | 0.0054 | - |
| 0.1270 | 7150 | 0.008 | - |
| 0.1279 | 7200 | 0.0327 | - |
| 0.1288 | 7250 | 0.0104 | - |
| 0.1297 | 7300 | 0.0102 | - |
| 0.1306 | 7350 | 0.0163 | - |
| 0.1314 | 7400 | 0.0126 | - |
| 0.1323 | 7450 | 0.0014 | - |
| 0.1332 | 7500 | 0.0053 | - |
| 0.1341 | 7550 | 0.0102 | - |
| 0.1350 | 7600 | 0.0223 | - |
| 0.1359 | 7650 | 0.0083 | - |
| 0.1368 | 7700 | 0.003 | - |
| 0.1377 | 7750 | 0.0185 | - |
| 0.1385 | 7800 | 0.0083 | - |
| 0.1394 | 7850 | 0.0148 | - |
| 0.1403 | 7900 | 0.0172 | - |
| 0.1412 | 7950 | 0.0199 | - |
| 0.1421 | 8000 | 0.0082 | - |
| 0.1430 | 8050 | 0.0091 | - |
| 0.1439 | 8100 | 0.0098 | - |
| 0.1448 | 8150 | 0.0165 | - |
| 0.1456 | 8200 | 0.0087 | - |
| 0.1465 | 8250 | 0.001 | - |
| 0.1474 | 8300 | 0.0113 | - |
| 0.1483 | 8350 | 0.007 | - |
| 0.1492 | 8400 | 0.0034 | - |
| 0.1501 | 8450 | 0.0029 | - |
| 0.1510 | 8500 | 0.0235 | - |
| 0.1519 | 8550 | 0.0088 | - |
| 0.1528 | 8600 | 0.0164 | - |
| 0.1536 | 8650 | 0.0071 | - |
| 0.1545 | 8700 | 0.0111 | - |
| 0.1554 | 8750 | 0.004 | - |
| 0.1563 | 8800 | 0.0068 | - |
| 0.1572 | 8850 | 0.0093 | - |
| 0.1581 | 8900 | 0.0015 | - |
| 0.1590 | 8950 | 0.0056 | - |
| 0.1599 | 9000 | 0.0122 | - |
| 0.1607 | 9050 | 0.018 | - |
| 0.1616 | 9100 | 0.0165 | - |
| 0.1625 | 9150 | 0.02 | - |
| 0.1634 | 9200 | 0.0149 | - |
| 0.1643 | 9250 | 0.0057 | - |
| 0.1652 | 9300 | 0.0072 | - |
| 0.1661 | 9350 | 0.0073 | - |
| 0.1670 | 9400 | 0.0097 | - |
| 0.1679 | 9450 | 0.0059 | - |
| 0.1687 | 9500 | 0.0072 | - |
| 0.1696 | 9550 | 0.0076 | - |
| 0.1705 | 9600 | 0.0102 | - |
| 0.1714 | 9650 | 0.0077 | - |
| 0.1723 | 9700 | 0.0016 | - |
| 0.1732 | 9750 | 0.0176 | - |
| 0.1741 | 9800 | 0.0039 | - |
| 0.1750 | 9850 | 0.0085 | - |
| 0.1758 | 9900 | 0.008 | - |
| 0.1767 | 9950 | 0.0113 | - |
| 0.1776 | 10000 | 0.0093 | - |
| 0.1785 | 10050 | 0.0229 | - |
| 0.1794 | 10100 | 0.0063 | - |
| 0.1803 | 10150 | 0.0062 | - |
| 0.1812 | 10200 | 0.001 | - |
| 0.1821 | 10250 | 0.0115 | - |
| 0.1829 | 10300 | 0.0012 | - |
| 0.1838 | 10350 | 0.0106 | - |
| 0.1847 | 10400 | 0.0095 | - |
| 0.1856 | 10450 | 0.0287 | - |
| 0.1865 | 10500 | 0.003 | - |
| 0.1874 | 10550 | 0.0141 | - |
| 0.1883 | 10600 | 0.0051 | - |
| 0.1892 | 10650 | 0.0028 | - |
| 0.1901 | 10700 | 0.0208 | - |
| 0.1909 | 10750 | 0.01 | - |
| 0.1918 | 10800 | 0.008 | - |
| 0.1927 | 10850 | 0.0119 | - |
| 0.1936 | 10900 | 0.0229 | - |
| 0.1945 | 10950 | 0.0037 | - |
| 0.1954 | 11000 | 0.0132 | - |
| 0.1963 | 11050 | 0.0074 | - |
| 0.1972 | 11100 | 0.0073 | - |
| 0.1980 | 11150 | 0.0154 | - |
| 0.1989 | 11200 | 0.0086 | - |
| 0.1998 | 11250 | 0.0206 | - |
| 0.2007 | 11300 | 0.0067 | - |
| 0.2016 | 11350 | 0.0142 | - |
| 0.2025 | 11400 | 0.0104 | - |
| 0.2034 | 11450 | 0.011 | - |
| 0.2043 | 11500 | 0.0113 | - |
| 0.2052 | 11550 | 0.0048 | - |
| 0.2060 | 11600 | 0.0008 | - |
| 0.2069 | 11650 | 0.0056 | - |
| 0.2078 | 11700 | 0.0017 | - |
| 0.2087 | 11750 | 0.0263 | - |
| 0.2096 | 11800 | 0.0198 | - |
| 0.2105 | 11850 | 0.0052 | - |
| 0.2114 | 11900 | 0.0055 | - |
| 0.2123 | 11950 | 0.0039 | - |
| 0.2131 | 12000 | 0.0058 | - |
| 0.2140 | 12050 | 0.0206 | - |
| 0.2149 | 12100 | 0.0122 | - |
| 0.2158 | 12150 | 0.009 | - |
| 0.2167 | 12200 | 0.0019 | - |
| 0.2176 | 12250 | 0.0067 | - |
| 0.2185 | 12300 | 0.0059 | - |
| 0.2194 | 12350 | 0.0107 | - |
| 0.2202 | 12400 | 0.0003 | - |
| 0.2211 | 12450 | 0.0131 | - |
| 0.2220 | 12500 | 0.0069 | - |
| 0.2229 | 12550 | 0.0019 | - |
| 0.2238 | 12600 | 0.0012 | - |
| 0.2247 | 12650 | 0.0104 | - |
| 0.2256 | 12700 | 0.0051 | - |
| 0.2265 | 12750 | 0.0062 | - |
| 0.2274 | 12800 | 0.004 | - |
| 0.2282 | 12850 | 0.0121 | - |
| 0.2291 | 12900 | 0.0144 | - |
| 0.2300 | 12950 | 0.015 | - |
| 0.2309 | 13000 | 0.0191 | - |
| 0.2318 | 13050 | 0.0152 | - |
| 0.2327 | 13100 | 0.006 | - |
| 0.2336 | 13150 | 0.01 | - |
| 0.2345 | 13200 | 0.0123 | - |
| 0.2353 | 13250 | 0.0029 | - |
| 0.2362 | 13300 | 0.0036 | - |
| 0.2371 | 13350 | 0.0005 | - |
| 0.2380 | 13400 | 0.0065 | - |
| 0.2389 | 13450 | 0.0139 | - |
| 0.2398 | 13500 | 0.0056 | - |
| 0.2407 | 13550 | 0.0079 | - |
| 0.2416 | 13600 | 0.0024 | - |
| 0.2425 | 13650 | 0.0062 | - |
| 0.2433 | 13700 | 0.0082 | - |
| 0.2442 | 13750 | 0.0007 | - |
| 0.2451 | 13800 | 0.0093 | - |
| 0.2460 | 13850 | 0.007 | - |
| 0.2469 | 13900 | 0.009 | - |
| 0.2478 | 13950 | 0.0164 | - |
| 0.2487 | 14000 | 0.027 | - |
| 0.2496 | 14050 | 0.0243 | - |
| 0.2504 | 14100 | 0.0014 | - |
| 0.2513 | 14150 | 0.0072 | - |
| 0.2522 | 14200 | 0.014 | - |
| 0.2531 | 14250 | 0.0139 | - |
| 0.2540 | 14300 | 0.005 | - |
| 0.2549 | 14350 | 0.0129 | - |
| 0.2558 | 14400 | 0.0153 | - |
| 0.2567 | 14450 | 0.0035 | - |
| 0.2575 | 14500 | 0.0062 | - |
| 0.2584 | 14550 | 0.0017 | - |
| 0.2593 | 14600 | 0.0232 | - |
| 0.2602 | 14650 | 0.016 | - |
| 0.2611 | 14700 | 0.0011 | - |
| 0.2620 | 14750 | 0.0083 | - |
| 0.2629 | 14800 | 0.0202 | - |
| 0.2638 | 14850 | 0.0084 | - |
| 0.2647 | 14900 | 0.0132 | - |
| 0.2655 | 14950 | 0.0148 | - |
| 0.2664 | 15000 | 0.0061 | - |
| 0.2673 | 15050 | 0.0062 | - |
| 0.2682 | 15100 | 0.0118 | - |
| 0.2691 | 15150 | 0.0066 | - |
| 0.2700 | 15200 | 0.0007 | - |
| 0.2709 | 15250 | 0.0085 | - |
| 0.2718 | 15300 | 0.0093 | - |
| 0.2726 | 15350 | 0.0197 | - |
| 0.2735 | 15400 | 0.014 | - |
| 0.2744 | 15450 | 0.0023 | - |
| 0.2753 | 15500 | 0.0005 | - |
| 0.2762 | 15550 | 0.0059 | - |
| 0.2771 | 15600 | 0.0024 | - |
| 0.2780 | 15650 | 0.0139 | - |
| 0.2789 | 15700 | 0.0107 | - |
| 0.2798 | 15750 | 0.0063 | - |
| 0.2806 | 15800 | 0.0092 | - |
| 0.2815 | 15850 | 0.0212 | - |
| 0.2824 | 15900 | 0.0121 | - |
| 0.2833 | 15950 | 0.0011 | - |
| 0.2842 | 16000 | 0.013 | - |
| 0.2851 | 16050 | 0.0126 | - |
| 0.2860 | 16100 | 0.0107 | - |
| 0.2869 | 16150 | 0.0162 | - |
| 0.2877 | 16200 | 0.0109 | - |
| 0.2886 | 16250 | 0.0129 | - |
| 0.2895 | 16300 | 0.002 | - |
| 0.2904 | 16350 | 0.0098 | - |
| 0.2913 | 16400 | 0.0058 | - |
| 0.2922 | 16450 | 0.0186 | - |
| 0.2931 | 16500 | 0.0092 | - |
| 0.2940 | 16550 | 0.007 | - |
| 0.2948 | 16600 | 0.0147 | - |
| 0.2957 | 16650 | 0.0066 | - |
| 0.2966 | 16700 | 0.0137 | - |
| 0.2975 | 16750 | 0.0064 | - |
| 0.2984 | 16800 | 0.0085 | - |
| 0.2993 | 16850 | 0.0184 | - |
| 0.3002 | 16900 | 0.0187 | - |
| 0.3011 | 16950 | 0.0026 | - |
| 0.3020 | 17000 | 0.0087 | - |
| 0.3028 | 17050 | 0.0161 | - |
| 0.3037 | 17100 | 0.002 | - |
| 0.3046 | 17150 | 0.0007 | - |
| 0.3055 | 17200 | 0.0083 | - |
| 0.3064 | 17250 | 0.0057 | - |
| 0.3073 | 17300 | 0.007 | - |
| 0.3082 | 17350 | 0.0063 | - |
| 0.3091 | 17400 | 0.0021 | - |
| 0.3099 | 17450 | 0.0014 | - |
| 0.3108 | 17500 | 0.0156 | - |
| 0.3117 | 17550 | 0.0072 | - |
| 0.3126 | 17600 | 0.0017 | - |
| 0.3135 | 17650 | 0.002 | - |
| 0.3144 | 17700 | 0.0055 | - |
| 0.3153 | 17750 | 0.005 | - |
| 0.3162 | 17800 | 0.0067 | - |
| 0.3171 | 17850 | 0.0007 | - |
| 0.3179 | 17900 | 0.0019 | - |
| 0.3188 | 17950 | 0.0125 | - |
| 0.3197 | 18000 | 0.0157 | - |
| 0.3206 | 18050 | 0.0087 | - |
| 0.3215 | 18100 | 0.0051 | - |
| 0.3224 | 18150 | 0.0102 | - |
| 0.3233 | 18200 | 0.0147 | - |
| 0.3242 | 18250 | 0.0161 | - |
| 0.3250 | 18300 | 0.0068 | - |
| 0.3259 | 18350 | 0.0199 | - |
| 0.3268 | 18400 | 0.0101 | - |
| 0.3277 | 18450 | 0.0132 | - |
| 0.3286 | 18500 | 0.0028 | - |
| 0.3295 | 18550 | 0.0127 | - |
| 0.3304 | 18600 | 0.0089 | - |
| 0.3313 | 18650 | 0.0111 | - |
| 0.3321 | 18700 | 0.006 | - |
| 0.3330 | 18750 | 0.0062 | - |
| 0.3339 | 18800 | 0.0006 | - |
| 0.3348 | 18850 | 0.0063 | - |
| 0.3357 | 18900 | 0.0005 | - |
| 0.3366 | 18950 | 0.0024 | - |
| 0.3375 | 19000 | 0.019 | - |
| 0.3384 | 19050 | 0.0101 | - |
| 0.3393 | 19100 | 0.0073 | - |
| 0.3401 | 19150 | 0.0031 | - |
| 0.3410 | 19200 | 0.0108 | - |
| 0.3419 | 19250 | 0.0024 | - |
| 0.3428 | 19300 | 0.0137 | - |
| 0.3437 | 19350 | 0.0137 | - |
| 0.3446 | 19400 | 0.0064 | - |
| 0.3455 | 19450 | 0.0057 | - |
| 0.3464 | 19500 | 0.0076 | - |
| 0.3472 | 19550 | 0.0065 | - |
| 0.3481 | 19600 | 0.0008 | - |
| 0.3490 | 19650 | 0.0048 | - |
| 0.3499 | 19700 | 0.005 | - |
| 0.3508 | 19750 | 0.0047 | - |
| 0.3517 | 19800 | 0.0219 | - |
| 0.3526 | 19850 | 0.0181 | - |
| 0.3535 | 19900 | 0.0059 | - |
| 0.3544 | 19950 | 0.0071 | - |
| 0.3552 | 20000 | 0.0058 | - |
| 0.3561 | 20050 | 0.0113 | - |
| 0.3570 | 20100 | 0.0063 | - |
| 0.3579 | 20150 | 0.0082 | - |
| 0.3588 | 20200 | 0.0203 | - |
| 0.3597 | 20250 | 0.0027 | - |
| 0.3606 | 20300 | 0.0118 | - |
| 0.3615 | 20350 | 0.0165 | - |
| 0.3623 | 20400 | 0.0095 | - |
| 0.3632 | 20450 | 0.0084 | - |
| 0.3641 | 20500 | 0.0101 | - |
| 0.3650 | 20550 | 0.014 | - |
| 0.3659 | 20600 | 0.0062 | - |
| 0.3668 | 20650 | 0.004 | - |
| 0.3677 | 20700 | 0.0131 | - |
| 0.3686 | 20750 | 0.0123 | - |
| 0.3694 | 20800 | 0.0093 | - |
| 0.3703 | 20850 | 0.0232 | - |
| 0.3712 | 20900 | 0.0027 | - |
| 0.3721 | 20950 | 0.0156 | - |
| 0.3730 | 21000 | 0.0034 | - |
| 0.3739 | 21050 | 0.0143 | - |
| 0.3748 | 21100 | 0.0058 | - |
| 0.3757 | 21150 | 0.0115 | - |
| 0.3766 | 21200 | 0.0051 | - |
| 0.3774 | 21250 | 0.0008 | - |
| 0.3783 | 21300 | 0.0007 | - |
| 0.3792 | 21350 | 0.0035 | - |
| 0.3801 | 21400 | 0.0056 | - |
| 0.3810 | 21450 | 0.0128 | - |
| 0.3819 | 21500 | 0.0079 | - |
| 0.3828 | 21550 | 0.0127 | - |
| 0.3837 | 21600 | 0.0085 | - |
| 0.3845 | 21650 | 0.0173 | - |
| 0.3854 | 21700 | 0.0015 | - |
| 0.3863 | 21750 | 0.0184 | - |
| 0.3872 | 21800 | 0.0091 | - |
| 0.3881 | 21850 | 0.0007 | - |
| 0.3890 | 21900 | 0.0035 | - |
| 0.3899 | 21950 | 0.011 | - |
| 0.3908 | 22000 | 0.004 | - |
| 0.3917 | 22050 | 0.012 | - |
| 0.3925 | 22100 | 0.0109 | - |
| 0.3934 | 22150 | 0.0129 | - |
| 0.3943 | 22200 | 0.0056 | - |
| 0.3952 | 22250 | 0.0095 | - |
| 0.3961 | 22300 | 0.0107 | - |
| 0.3970 | 22350 | 0.0083 | - |
| 0.3979 | 22400 | 0.0102 | - |
| 0.3988 | 22450 | 0.0138 | - |
| 0.3996 | 22500 | 0.0053 | - |
| 0.4005 | 22550 | 0.0075 | - |
| 0.4014 | 22600 | 0.0079 | - |
| 0.4023 | 22650 | 0.0063 | - |
| 0.4032 | 22700 | 0.0011 | - |
| 0.4041 | 22750 | 0.0048 | - |
| 0.4050 | 22800 | 0.0012 | - |
| 0.4059 | 22850 | 0.001 | - |
| 0.4067 | 22900 | 0.0088 | - |
| 0.4076 | 22950 | 0.0087 | - |
| 0.4085 | 23000 | 0.0007 | - |
| 0.4094 | 23050 | 0.0247 | - |
| 0.4103 | 23100 | 0.0065 | - |
| 0.4112 | 23150 | 0.0037 | - |
| 0.4121 | 23200 | 0.0011 | - |
| 0.4130 | 23250 | 0.0114 | - |
| 0.4139 | 23300 | 0.0109 | - |
| 0.4147 | 23350 | 0.0135 | - |
| 0.4156 | 23400 | 0.0164 | - |
| 0.4165 | 23450 | 0.0069 | - |
| 0.4174 | 23500 | 0.006 | - |
| 0.4183 | 23550 | 0.0069 | - |
| 0.4192 | 23600 | 0.0047 | - |
| 0.4201 | 23650 | 0.0149 | - |
| 0.4210 | 23700 | 0.0113 | - |
| 0.4218 | 23750 | 0.0066 | - |
| 0.4227 | 23800 | 0.0113 | - |
| 0.4236 | 23850 | 0.0111 | - |
| 0.4245 | 23900 | 0.0207 | - |
| 0.4254 | 23950 | 0.0206 | - |
| 0.4263 | 24000 | 0.0136 | - |
| 0.4272 | 24050 | 0.009 | - |
| 0.4281 | 24100 | 0.0122 | - |
| 0.4290 | 24150 | 0.0065 | - |
| 0.4298 | 24200 | 0.0074 | - |
| 0.4307 | 24250 | 0.0207 | - |
| 0.4316 | 24300 | 0.0004 | - |
| 0.4325 | 24350 | 0.0125 | - |
| 0.4334 | 24400 | 0.0147 | - |
| 0.4343 | 24450 | 0.0025 | - |
| 0.4352 | 24500 | 0.0116 | - |
| 0.4361 | 24550 | 0.0101 | - |
| 0.4369 | 24600 | 0.005 | - |
| 0.4378 | 24650 | 0.0018 | - |
| 0.4387 | 24700 | 0.0125 | - |
| 0.4396 | 24750 | 0.0027 | - |
| 0.4405 | 24800 | 0.0213 | - |
| 0.4414 | 24850 | 0.0162 | - |
| 0.4423 | 24900 | 0.0062 | - |
| 0.4432 | 24950 | 0.0089 | - |
| 0.4440 | 25000 | 0.0056 | - |
| 0.4449 | 25050 | 0.0141 | - |
| 0.4458 | 25100 | 0.0123 | - |
| 0.4467 | 25150 | 0.0003 | - |
| 0.4476 | 25200 | 0.0157 | - |
| 0.4485 | 25250 | 0.03 | - |
| 0.4494 | 25300 | 0.0067 | - |
| 0.4503 | 25350 | 0.0009 | - |
| 0.4512 | 25400 | 0.0125 | - |
| 0.4520 | 25450 | 0.0066 | - |
| 0.4529 | 25500 | 0.0133 | - |
| 0.4538 | 25550 | 0.0064 | - |
| 0.4547 | 25600 | 0.0104 | - |
| 0.4556 | 25650 | 0.0043 | - |
| 0.4565 | 25700 | 0.0068 | - |
| 0.4574 | 25750 | 0.0067 | - |
| 0.4583 | 25800 | 0.0088 | - |
| 0.4591 | 25850 | 0.0039 | - |
| 0.4600 | 25900 | 0.0122 | - |
| 0.4609 | 25950 | 0.0181 | - |
| 0.4618 | 26000 | 0.0058 | - |
| 0.4627 | 26050 | 0.0208 | - |
| 0.4636 | 26100 | 0.0107 | - |
| 0.4645 | 26150 | 0.0066 | - |
| 0.4654 | 26200 | 0.0072 | - |
| 0.4663 | 26250 | 0.0046 | - |
| 0.4671 | 26300 | 0.0004 | - |
| 0.4680 | 26350 | 0.0021 | - |
| 0.4689 | 26400 | 0.013 | - |
| 0.4698 | 26450 | 0.0141 | - |
| 0.4707 | 26500 | 0.001 | - |
| 0.4716 | 26550 | 0.001 | - |
| 0.4725 | 26600 | 0.0023 | - |
| 0.4734 | 26650 | 0.0106 | - |
| 0.4742 | 26700 | 0.0023 | - |
| 0.4751 | 26750 | 0.0082 | - |
| 0.4760 | 26800 | 0.0014 | - |
| 0.4769 | 26850 | 0.0063 | - |
| 0.4778 | 26900 | 0.0022 | - |
| 0.4787 | 26950 | 0.0059 | - |
| 0.4796 | 27000 | 0.0011 | - |
| 0.4805 | 27050 | 0.0082 | - |
| 0.4813 | 27100 | 0.0034 | - |
| 0.4822 | 27150 | 0.0107 | - |
| 0.4831 | 27200 | 0.0004 | - |
| 0.4840 | 27250 | 0.0112 | - |
| 0.4849 | 27300 | 0.0079 | - |
| 0.4858 | 27350 | 0.0069 | - |
| 0.4867 | 27400 | 0.0116 | - |
| 0.4876 | 27450 | 0.0069 | - |
| 0.4885 | 27500 | 0.0103 | - |
| 0.4893 | 27550 | 0.0072 | - |
| 0.4902 | 27600 | 0.0029 | - |
| 0.4911 | 27650 | 0.0073 | - |
| 0.4920 | 27700 | 0.0143 | - |
| 0.4929 | 27750 | 0.0024 | - |
| 0.4938 | 27800 | 0.0142 | - |
| 0.4947 | 27850 | 0.0119 | - |
| 0.4956 | 27900 | 0.01 | - |
| 0.4964 | 27950 | 0.0057 | - |
| 0.4973 | 28000 | 0.015 | - |
| 0.4982 | 28050 | 0.0108 | - |
| 0.4991 | 28100 | 0.0054 | - |
| 0.5 | 28150 | 0.0017 | - |
| 0.5009 | 28200 | 0.0079 | - |
| 0.5018 | 28250 | 0.0232 | - |
| 0.5027 | 28300 | 0.0108 | - |
| 0.5036 | 28350 | 0.0024 | - |
| 0.5044 | 28400 | 0.0094 | - |
| 0.5053 | 28450 | 0.0142 | - |
| 0.5062 | 28500 | 0.0133 | - |
| 0.5071 | 28550 | 0.0048 | - |
| 0.5080 | 28600 | 0.0108 | - |
| 0.5089 | 28650 | 0.0061 | - |
| 0.5098 | 28700 | 0.0241 | - |
| 0.5107 | 28750 | 0.0105 | - |
| 0.5115 | 28800 | 0.0162 | - |
| 0.5124 | 28850 | 0.0012 | - |
| 0.5133 | 28900 | 0.0074 | - |
| 0.5142 | 28950 | 0.0055 | - |
| 0.5151 | 29000 | 0.007 | - |
| 0.5160 | 29050 | 0.0031 | - |
| 0.5169 | 29100 | 0.0105 | - |
| 0.5178 | 29150 | 0.0039 | - |
| 0.5187 | 29200 | 0.011 | - |
| 0.5195 | 29250 | 0.0192 | - |
| 0.5204 | 29300 | 0.0021 | - |
| 0.5213 | 29350 | 0.0033 | - |
| 0.5222 | 29400 | 0.0082 | - |
| 0.5231 | 29450 | 0.0068 | - |
| 0.5240 | 29500 | 0.0038 | - |
| 0.5249 | 29550 | 0.0051 | - |
| 0.5258 | 29600 | 0.0068 | - |
| 0.5266 | 29650 | 0.0084 | - |
| 0.5275 | 29700 | 0.0201 | - |
| 0.5284 | 29750 | 0.0088 | - |
| 0.5293 | 29800 | 0.0111 | - |
| 0.5302 | 29850 | 0.006 | - |
| 0.5311 | 29900 | 0.0123 | - |
| 0.5320 | 29950 | 0.0067 | - |
| 0.5329 | 30000 | 0.0053 | - |
| 0.5337 | 30050 | 0.0052 | - |
| 0.5346 | 30100 | 0.0075 | - |
| 0.5355 | 30150 | 0.0126 | - |
| 0.5364 | 30200 | 0.0005 | - |
| 0.5373 | 30250 | 0.0076 | - |
| 0.5382 | 30300 | 0.012 | - |
| 0.5391 | 30350 | 0.0148 | - |
| 0.5400 | 30400 | 0.0072 | - |
| 0.5409 | 30450 | 0.0123 | - |
| 0.5417 | 30500 | 0.0073 | - |
| 0.5426 | 30550 | 0.0051 | - |
| 0.5435 | 30600 | 0.0052 | - |
| 0.5444 | 30650 | 0.0095 | - |
| 0.5453 | 30700 | 0.0062 | - |
| 0.5462 | 30750 | 0.0083 | - |
| 0.5471 | 30800 | 0.013 | - |
| 0.5480 | 30850 | 0.0072 | - |
| 0.5488 | 30900 | 0.0089 | - |
| 0.5497 | 30950 | 0.0073 | - |
| 0.5506 | 31000 | 0.0056 | - |
| 0.5515 | 31050 | 0.0026 | - |
| 0.5524 | 31100 | 0.006 | - |
| 0.5533 | 31150 | 0.0079 | - |
| 0.5542 | 31200 | 0.0138 | - |
| 0.5551 | 31250 | 0.0111 | - |
| 0.5560 | 31300 | 0.0104 | - |
| 0.5568 | 31350 | 0.0204 | - |
| 0.5577 | 31400 | 0.0058 | - |
| 0.5586 | 31450 | 0.0107 | - |
| 0.5595 | 31500 | 0.0027 | - |
| 0.5604 | 31550 | 0.0208 | - |
| 0.5613 | 31600 | 0.001 | - |
| 0.5622 | 31650 | 0.0062 | - |
| 0.5631 | 31700 | 0.0116 | - |
| 0.5639 | 31750 | 0.0034 | - |
| 0.5648 | 31800 | 0.0059 | - |
| 0.5657 | 31850 | 0.0118 | - |
| 0.5666 | 31900 | 0.0116 | - |
| 0.5675 | 31950 | 0.0074 | - |
| 0.5684 | 32000 | 0.0026 | - |
| 0.5693 | 32050 | 0.0122 | - |
| 0.5702 | 32100 | 0.014 | - |
| 0.5710 | 32150 | 0.0004 | - |
| 0.5719 | 32200 | 0.0169 | - |
| 0.5728 | 32250 | 0.0076 | - |
| 0.5737 | 32300 | 0.0066 | - |
| 0.5746 | 32350 | 0.0106 | - |
| 0.5755 | 32400 | 0.0063 | - |
| 0.5764 | 32450 | 0.0154 | - |
| 0.5773 | 32500 | 0.0062 | - |
| 0.5782 | 32550 | 0.0126 | - |
| 0.5790 | 32600 | 0.0077 | - |
| 0.5799 | 32650 | 0.0106 | - |
| 0.5808 | 32700 | 0.0179 | - |
| 0.5817 | 32750 | 0.0082 | - |
| 0.5826 | 32800 | 0.0064 | - |
| 0.5835 | 32850 | 0.0179 | - |
| 0.5844 | 32900 | 0.0063 | - |
| 0.5853 | 32950 | 0.0157 | - |
| 0.5861 | 33000 | 0.0237 | - |
| 0.5870 | 33050 | 0.0272 | - |
| 0.5879 | 33100 | 0.0091 | - |
| 0.5888 | 33150 | 0.0023 | - |
| 0.5897 | 33200 | 0.0114 | - |
| 0.5906 | 33250 | 0.001 | - |
| 0.5915 | 33300 | 0.0089 | - |
| 0.5924 | 33350 | 0.0077 | - |
| 0.5933 | 33400 | 0.0139 | - |
| 0.5941 | 33450 | 0.0021 | - |
| 0.5950 | 33500 | 0.0098 | - |
| 0.5959 | 33550 | 0.0009 | - |
| 0.5968 | 33600 | 0.002 | - |
| 0.5977 | 33650 | 0.0082 | - |
| 0.5986 | 33700 | 0.0204 | - |
| 0.5995 | 33750 | 0.0026 | - |
| 0.6004 | 33800 | 0.0116 | - |
| 0.6012 | 33850 | 0.0063 | - |
| 0.6021 | 33900 | 0.005 | - |
| 0.6030 | 33950 | 0.0111 | - |
| 0.6039 | 34000 | 0.0013 | - |
| 0.6048 | 34050 | 0.0153 | - |
| 0.6057 | 34100 | 0.0223 | - |
| 0.6066 | 34150 | 0.0094 | - |
| 0.6075 | 34200 | 0.012 | - |
| 0.6083 | 34250 | 0.0202 | - |
| 0.6092 | 34300 | 0.0015 | - |
| 0.6101 | 34350 | 0.0063 | - |
| 0.6110 | 34400 | 0.0052 | - |
| 0.6119 | 34450 | 0.0034 | - |
| 0.6128 | 34500 | 0.0075 | - |
| 0.6137 | 34550 | 0.0062 | - |
| 0.6146 | 34600 | 0.0061 | - |
| 0.6155 | 34650 | 0.0176 | - |
| 0.6163 | 34700 | 0.0074 | - |
| 0.6172 | 34750 | 0.0006 | - |
| 0.6181 | 34800 | 0.0056 | - |
| 0.6190 | 34850 | 0.0059 | - |
| 0.6199 | 34900 | 0.0069 | - |
| 0.6208 | 34950 | 0.0081 | - |
| 0.6217 | 35000 | 0.0161 | - |
| 0.6226 | 35050 | 0.0223 | - |
| 0.6234 | 35100 | 0.0118 | - |
| 0.6243 | 35150 | 0.0024 | - |
| 0.6252 | 35200 | 0.0106 | - |
| 0.6261 | 35250 | 0.0135 | - |
| 0.6270 | 35300 | 0.0068 | - |
| 0.6279 | 35350 | 0.0062 | - |
| 0.6288 | 35400 | 0.0081 | - |
| 0.6297 | 35450 | 0.0166 | - |
| 0.6306 | 35500 | 0.0055 | - |
| 0.6314 | 35550 | 0.0211 | - |
| 0.6323 | 35600 | 0.0032 | - |
| 0.6332 | 35650 | 0.0017 | - |
| 0.6341 | 35700 | 0.0012 | - |
| 0.6350 | 35750 | 0.0185 | - |
| 0.6359 | 35800 | 0.0056 | - |
| 0.6368 | 35850 | 0.0008 | - |
| 0.6377 | 35900 | 0.0072 | - |
| 0.6385 | 35950 | 0.007 | - |
| 0.6394 | 36000 | 0.0082 | - |
| 0.6403 | 36050 | 0.0061 | - |
| 0.6412 | 36100 | 0.002 | - |
| 0.6421 | 36150 | 0.0084 | - |
| 0.6430 | 36200 | 0.0111 | - |
| 0.6439 | 36250 | 0.0091 | - |
| 0.6448 | 36300 | 0.0112 | - |
| 0.6456 | 36350 | 0.0074 | - |
| 0.6465 | 36400 | 0.0056 | - |
| 0.6474 | 36450 | 0.0071 | - |
| 0.6483 | 36500 | 0.007 | - |
| 0.6492 | 36550 | 0.0011 | - |
| 0.6501 | 36600 | 0.0052 | - |
| 0.6510 | 36650 | 0.016 | - |
| 0.6519 | 36700 | 0.0103 | - |
| 0.6528 | 36750 | 0.0119 | - |
| 0.6536 | 36800 | 0.0114 | - |
| 0.6545 | 36850 | 0.0093 | - |
| 0.6554 | 36900 | 0.0017 | - |
| 0.6563 | 36950 | 0.001 | - |
| 0.6572 | 37000 | 0.0067 | - |
| 0.6581 | 37050 | 0.0025 | - |
| 0.6590 | 37100 | 0.0059 | - |
| 0.6599 | 37150 | 0.0066 | - |
| 0.6607 | 37200 | 0.0181 | - |
| 0.6616 | 37250 | 0.01 | - |
| 0.6625 | 37300 | 0.0192 | - |
| 0.6634 | 37350 | 0.0039 | - |
| 0.6643 | 37400 | 0.0207 | - |
| 0.6652 | 37450 | 0.0005 | - |
| 0.6661 | 37500 | 0.0006 | - |
| 0.6670 | 37550 | 0.0056 | - |
| 0.6679 | 37600 | 0.0122 | - |
| 0.6687 | 37650 | 0.0049 | - |
| 0.6696 | 37700 | 0.0113 | - |
| 0.6705 | 37750 | 0.0086 | - |
| 0.6714 | 37800 | 0.0064 | - |
| 0.6723 | 37850 | 0.0008 | - |
| 0.6732 | 37900 | 0.0025 | - |
| 0.6741 | 37950 | 0.0167 | - |
| 0.6750 | 38000 | 0.0018 | - |
| 0.6758 | 38050 | 0.0034 | - |
| 0.6767 | 38100 | 0.0011 | - |
| 0.6776 | 38150 | 0.0067 | - |
| 0.6785 | 38200 | 0.0147 | - |
| 0.6794 | 38250 | 0.0169 | - |
| 0.6803 | 38300 | 0.0159 | - |
| 0.6812 | 38350 | 0.0081 | - |
| 0.6821 | 38400 | 0.0157 | - |
| 0.6829 | 38450 | 0.0088 | - |
| 0.6838 | 38500 | 0.0075 | - |
| 0.6847 | 38550 | 0.0131 | - |
| 0.6856 | 38600 | 0.0048 | - |
| 0.6865 | 38650 | 0.0104 | - |
| 0.6874 | 38700 | 0.0059 | - |
| 0.6883 | 38750 | 0.0035 | - |
| 0.6892 | 38800 | 0.0025 | - |
| 0.6901 | 38850 | 0.0062 | - |
| 0.6909 | 38900 | 0.019 | - |
| 0.6918 | 38950 | 0.013 | - |
| 0.6927 | 39000 | 0.0097 | - |
| 0.6936 | 39050 | 0.0062 | - |
| 0.6945 | 39100 | 0.0114 | - |
| 0.6954 | 39150 | 0.0149 | - |
| 0.6963 | 39200 | 0.003 | - |
| 0.6972 | 39250 | 0.003 | - |
| 0.6980 | 39300 | 0.011 | - |
| 0.6989 | 39350 | 0.0055 | - |
| 0.6998 | 39400 | 0.0082 | - |
| 0.7007 | 39450 | 0.0007 | - |
| 0.7016 | 39500 | 0.0113 | - |
| 0.7025 | 39550 | 0.0156 | - |
| 0.7034 | 39600 | 0.0108 | - |
| 0.7043 | 39650 | 0.0059 | - |
| 0.7052 | 39700 | 0.0045 | - |
| 0.7060 | 39750 | 0.0016 | - |
| 0.7069 | 39800 | 0.0092 | - |
| 0.7078 | 39850 | 0.0123 | - |
| 0.7087 | 39900 | 0.0095 | - |
| 0.7096 | 39950 | 0.0027 | - |
| 0.7105 | 40000 | 0.0161 | - |
| 0.7114 | 40050 | 0.006 | - |
| 0.7123 | 40100 | 0.0107 | - |
| 0.7131 | 40150 | 0.0064 | - |
| 0.7140 | 40200 | 0.0118 | - |
| 0.7149 | 40250 | 0.0124 | - |
| 0.7158 | 40300 | 0.0054 | - |
| 0.7167 | 40350 | 0.0141 | - |
| 0.7176 | 40400 | 0.0048 | - |
| 0.7185 | 40450 | 0.0021 | - |
| 0.7194 | 40500 | 0.0025 | - |
| 0.7202 | 40550 | 0.0108 | - |
| 0.7211 | 40600 | 0.0111 | - |
| 0.7220 | 40650 | 0.0201 | - |
| 0.7229 | 40700 | 0.0056 | - |
| 0.7238 | 40750 | 0.0215 | - |
| 0.7247 | 40800 | 0.0108 | - |
| 0.7256 | 40850 | 0.0055 | - |
| 0.7265 | 40900 | 0.0078 | - |
| 0.7274 | 40950 | 0.0106 | - |
| 0.7282 | 41000 | 0.0089 | - |
| 0.7291 | 41050 | 0.0029 | - |
| 0.7300 | 41100 | 0.03 | - |
| 0.7309 | 41150 | 0.0067 | - |
| 0.7318 | 41200 | 0.0065 | - |
| 0.7327 | 41250 | 0.0012 | - |
| 0.7336 | 41300 | 0.0142 | - |
| 0.7345 | 41350 | 0.0027 | - |
| 0.7353 | 41400 | 0.0069 | - |
| 0.7362 | 41450 | 0.0126 | - |
| 0.7371 | 41500 | 0.002 | - |
| 0.7380 | 41550 | 0.0027 | - |
| 0.7389 | 41600 | 0.0027 | - |
| 0.7398 | 41650 | 0.0204 | - |
| 0.7407 | 41700 | 0.0114 | - |
| 0.7416 | 41750 | 0.0059 | - |
| 0.7425 | 41800 | 0.0024 | - |
| 0.7433 | 41850 | 0.0062 | - |
| 0.7442 | 41900 | 0.0059 | - |
| 0.7451 | 41950 | 0.0092 | - |
| 0.7460 | 42000 | 0.0009 | - |
| 0.7469 | 42050 | 0.0055 | - |
| 0.7478 | 42100 | 0.0088 | - |
| 0.7487 | 42150 | 0.0025 | - |
| 0.7496 | 42200 | 0.0016 | - |
| 0.7504 | 42250 | 0.0059 | - |
| 0.7513 | 42300 | 0.0077 | - |
| 0.7522 | 42350 | 0.0072 | - |
| 0.7531 | 42400 | 0.025 | - |
| 0.7540 | 42450 | 0.0111 | - |
| 0.7549 | 42500 | 0.0165 | - |
| 0.7558 | 42550 | 0.0114 | - |
| 0.7567 | 42600 | 0.0049 | - |
| 0.7575 | 42650 | 0.0099 | - |
| 0.7584 | 42700 | 0.0051 | - |
| 0.7593 | 42750 | 0.0058 | - |
| 0.7602 | 42800 | 0.0132 | - |
| 0.7611 | 42850 | 0.0184 | - |
| 0.7620 | 42900 | 0.0043 | - |
| 0.7629 | 42950 | 0.0138 | - |
| 0.7638 | 43000 | 0.0197 | - |
| 0.7647 | 43050 | 0.0085 | - |
| 0.7655 | 43100 | 0.0012 | - |
| 0.7664 | 43150 | 0.0107 | - |
| 0.7673 | 43200 | 0.0161 | - |
| 0.7682 | 43250 | 0.0059 | - |
| 0.7691 | 43300 | 0.0067 | - |
| 0.7700 | 43350 | 0.0257 | - |
| 0.7709 | 43400 | 0.0128 | - |
| 0.7718 | 43450 | 0.012 | - |
| 0.7726 | 43500 | 0.0016 | - |
| 0.7735 | 43550 | 0.0004 | - |
| 0.7744 | 43600 | 0.002 | - |
| 0.7753 | 43650 | 0.0208 | - |
| 0.7762 | 43700 | 0.0229 | - |
| 0.7771 | 43750 | 0.0103 | - |
| 0.7780 | 43800 | 0.0027 | - |
| 0.7789 | 43850 | 0.006 | - |
| 0.7798 | 43900 | 0.0082 | - |
| 0.7806 | 43950 | 0.0014 | - |
| 0.7815 | 44000 | 0.01 | - |
| 0.7824 | 44050 | 0.0113 | - |
| 0.7833 | 44100 | 0.0111 | - |
| 0.7842 | 44150 | 0.0108 | - |
| 0.7851 | 44200 | 0.011 | - |
| 0.7860 | 44250 | 0.0198 | - |
| 0.7869 | 44300 | 0.0114 | - |
| 0.7877 | 44350 | 0.001 | - |
| 0.7886 | 44400 | 0.0083 | - |
| 0.7895 | 44450 | 0.006 | - |
| 0.7904 | 44500 | 0.0115 | - |
| 0.7913 | 44550 | 0.0106 | - |
| 0.7922 | 44600 | 0.0064 | - |
| 0.7931 | 44650 | 0.0141 | - |
| 0.7940 | 44700 | 0.0089 | - |
| 0.7948 | 44750 | 0.0054 | - |
| 0.7957 | 44800 | 0.0134 | - |
| 0.7966 | 44850 | 0.0172 | - |
| 0.7975 | 44900 | 0.003 | - |
| 0.7984 | 44950 | 0.0173 | - |
| 0.7993 | 45000 | 0.0079 | - |
| 0.8002 | 45050 | 0.0171 | - |
| 0.8011 | 45100 | 0.0003 | - |
| 0.8020 | 45150 | 0.0029 | - |
| 0.8028 | 45200 | 0.008 | - |
| 0.8037 | 45250 | 0.0204 | - |
| 0.8046 | 45300 | 0.0018 | - |
| 0.8055 | 45350 | 0.0065 | - |
| 0.8064 | 45400 | 0.0064 | - |
| 0.8073 | 45450 | 0.0057 | - |
| 0.8082 | 45500 | 0.0014 | - |
| 0.8091 | 45550 | 0.009 | - |
| 0.8099 | 45600 | 0.0109 | - |
| 0.8108 | 45650 | 0.0012 | - |
| 0.8117 | 45700 | 0.0018 | - |
| 0.8126 | 45750 | 0.0035 | - |
| 0.8135 | 45800 | 0.0101 | - |
| 0.8144 | 45850 | 0.0201 | - |
| 0.8153 | 45900 | 0.0135 | - |
| 0.8162 | 45950 | 0.0016 | - |
| 0.8171 | 46000 | 0.0065 | - |
| 0.8179 | 46050 | 0.0184 | - |
| 0.8188 | 46100 | 0.0146 | - |
| 0.8197 | 46150 | 0.017 | - |
| 0.8206 | 46200 | 0.0072 | - |
| 0.8215 | 46250 | 0.005 | - |
| 0.8224 | 46300 | 0.003 | - |
| 0.8233 | 46350 | 0.0015 | - |
| 0.8242 | 46400 | 0.0357 | - |
| 0.8250 | 46450 | 0.0006 | - |
| 0.8259 | 46500 | 0.0026 | - |
| 0.8268 | 46550 | 0.0015 | - |
| 0.8277 | 46600 | 0.0016 | - |
| 0.8286 | 46650 | 0.0087 | - |
| 0.8295 | 46700 | 0.0063 | - |
| 0.8304 | 46750 | 0.0147 | - |
| 0.8313 | 46800 | 0.0016 | - |
| 0.8321 | 46850 | 0.0119 | - |
| 0.8330 | 46900 | 0.0015 | - |
| 0.8339 | 46950 | 0.0024 | - |
| 0.8348 | 47000 | 0.0113 | - |
| 0.8357 | 47050 | 0.0031 | - |
| 0.8366 | 47100 | 0.0071 | - |
| 0.8375 | 47150 | 0.0114 | - |
| 0.8384 | 47200 | 0.005 | - |
| 0.8393 | 47250 | 0.0007 | - |
| 0.8401 | 47300 | 0.005 | - |
| 0.8410 | 47350 | 0.0068 | - |
| 0.8419 | 47400 | 0.0102 | - |
| 0.8428 | 47450 | 0.0004 | - |
| 0.8437 | 47500 | 0.0185 | - |
| 0.8446 | 47550 | 0.0066 | - |
| 0.8455 | 47600 | 0.0168 | - |
| 0.8464 | 47650 | 0.0121 | - |
| 0.8472 | 47700 | 0.012 | - |
| 0.8481 | 47750 | 0.0185 | - |
| 0.8490 | 47800 | 0.0254 | - |
| 0.8499 | 47850 | 0.0164 | - |
| 0.8508 | 47900 | 0.0057 | - |
| 0.8517 | 47950 | 0.0168 | - |
| 0.8526 | 48000 | 0.01 | - |
| 0.8535 | 48050 | 0.0008 | - |
| 0.8544 | 48100 | 0.0054 | - |
| 0.8552 | 48150 | 0.0062 | - |
| 0.8561 | 48200 | 0.0079 | - |
| 0.8570 | 48250 | 0.0123 | - |
| 0.8579 | 48300 | 0.0073 | - |
| 0.8588 | 48350 | 0.0056 | - |
| 0.8597 | 48400 | 0.0008 | - |
| 0.8606 | 48450 | 0.0157 | - |
| 0.8615 | 48500 | 0.0072 | - |
| 0.8623 | 48550 | 0.0071 | - |
| 0.8632 | 48600 | 0.0059 | - |
| 0.8641 | 48650 | 0.0102 | - |
| 0.8650 | 48700 | 0.0014 | - |
| 0.8659 | 48750 | 0.0066 | - |
| 0.8668 | 48800 | 0.0065 | - |
| 0.8677 | 48850 | 0.0058 | - |
| 0.8686 | 48900 | 0.0034 | - |
| 0.8694 | 48950 | 0.014 | - |
| 0.8703 | 49000 | 0.0091 | - |
| 0.8712 | 49050 | 0.002 | - |
| 0.8721 | 49100 | 0.0059 | - |
| 0.8730 | 49150 | 0.0175 | - |
| 0.8739 | 49200 | 0.0103 | - |
| 0.8748 | 49250 | 0.0057 | - |
| 0.8757 | 49300 | 0.0032 | - |
| 0.8766 | 49350 | 0.011 | - |
| 0.8774 | 49400 | 0.0242 | - |
| 0.8783 | 49450 | 0.0044 | - |
| 0.8792 | 49500 | 0.0135 | - |
| 0.8801 | 49550 | 0.0061 | - |
| 0.8810 | 49600 | 0.0135 | - |
| 0.8819 | 49650 | 0.0016 | - |
| 0.8828 | 49700 | 0.0022 | - |
| 0.8837 | 49750 | 0.0082 | - |
| 0.8845 | 49800 | 0.0126 | - |
| 0.8854 | 49850 | 0.0 | - |
| 0.8863 | 49900 | 0.0137 | - |
| 0.8872 | 49950 | 0.0119 | - |
| 0.8881 | 50000 | 0.0066 | - |
| 0.8890 | 50050 | 0.0109 | - |
| 0.8899 | 50100 | 0.0025 | - |
| 0.8908 | 50150 | 0.0119 | - |
| 0.8917 | 50200 | 0.0035 | - |
| 0.8925 | 50250 | 0.002 | - |
| 0.8934 | 50300 | 0.0112 | - |
| 0.8943 | 50350 | 0.0132 | - |
| 0.8952 | 50400 | 0.0048 | - |
| 0.8961 | 50450 | 0.0008 | - |
| 0.8970 | 50500 | 0.0114 | - |
| 0.8979 | 50550 | 0.0139 | - |
| 0.8988 | 50600 | 0.0019 | - |
| 0.8996 | 50650 | 0.0116 | - |
| 0.9005 | 50700 | 0.008 | - |
| 0.9014 | 50750 | 0.0218 | - |
| 0.9023 | 50800 | 0.0008 | - |
| 0.9032 | 50850 | 0.0087 | - |
| 0.9041 | 50900 | 0.0156 | - |
| 0.9050 | 50950 | 0.0117 | - |
| 0.9059 | 51000 | 0.0109 | - |
| 0.9067 | 51050 | 0.0075 | - |
| 0.9076 | 51100 | 0.0069 | - |
| 0.9085 | 51150 | 0.0064 | - |
| 0.9094 | 51200 | 0.0075 | - |
| 0.9103 | 51250 | 0.0049 | - |
| 0.9112 | 51300 | 0.0061 | - |
| 0.9121 | 51350 | 0.0007 | - |
| 0.9130 | 51400 | 0.0066 | - |
| 0.9139 | 51450 | 0.0016 | - |
| 0.9147 | 51500 | 0.001 | - |
| 0.9156 | 51550 | 0.0027 | - |
| 0.9165 | 51600 | 0.007 | - |
| 0.9174 | 51650 | 0.0055 | - |
| 0.9183 | 51700 | 0.0089 | - |
| 0.9192 | 51750 | 0.0035 | - |
| 0.9201 | 51800 | 0.0068 | - |
| 0.9210 | 51850 | 0.015 | - |
| 0.9218 | 51900 | 0.009 | - |
| 0.9227 | 51950 | 0.0117 | - |
| 0.9236 | 52000 | 0.0014 | - |
| 0.9245 | 52050 | 0.0058 | - |
| 0.9254 | 52100 | 0.001 | - |
| 0.9263 | 52150 | 0.0143 | - |
| 0.9272 | 52200 | 0.0064 | - |
| 0.9281 | 52250 | 0.0 | - |
| 0.9290 | 52300 | 0.0025 | - |
| 0.9298 | 52350 | 0.0074 | - |
| 0.9307 | 52400 | 0.0173 | - |
| 0.9316 | 52450 | 0.0028 | - |
| 0.9325 | 52500 | 0.0103 | - |
| 0.9334 | 52550 | 0.005 | - |
| 0.9343 | 52600 | 0.0073 | - |
| 0.9352 | 52650 | 0.0049 | - |
| 0.9361 | 52700 | 0.0023 | - |
| 0.9369 | 52750 | 0.0141 | - |
| 0.9378 | 52800 | 0.0116 | - |
| 0.9387 | 52850 | 0.01 | - |
| 0.9396 | 52900 | 0.0062 | - |
| 0.9405 | 52950 | 0.006 | - |
| 0.9414 | 53000 | 0.0011 | - |
| 0.9423 | 53050 | 0.0148 | - |
| 0.9432 | 53100 | 0.0012 | - |
| 0.9440 | 53150 | 0.0096 | - |
| 0.9449 | 53200 | 0.0035 | - |
| 0.9458 | 53250 | 0.012 | - |
| 0.9467 | 53300 | 0.0054 | - |
| 0.9476 | 53350 | 0.0032 | - |
| 0.9485 | 53400 | 0.0112 | - |
| 0.9494 | 53450 | 0.007 | - |
| 0.9503 | 53500 | 0.0098 | - |
| 0.9512 | 53550 | 0.0075 | - |
| 0.9520 | 53600 | 0.0116 | - |
| 0.9529 | 53650 | 0.002 | - |
| 0.9538 | 53700 | 0.0114 | - |
| 0.9547 | 53750 | 0.0168 | - |
| 0.9556 | 53800 | 0.0107 | - |
| 0.9565 | 53850 | 0.0052 | - |
| 0.9574 | 53900 | 0.0004 | - |
| 0.9583 | 53950 | 0.0114 | - |
| 0.9591 | 54000 | 0.0068 | - |
| 0.9600 | 54050 | 0.009 | - |
| 0.9609 | 54100 | 0.0027 | - |
| 0.9618 | 54150 | 0.0063 | - |
| 0.9627 | 54200 | 0.01 | - |
| 0.9636 | 54250 | 0.0099 | - |
| 0.9645 | 54300 | 0.0116 | - |
| 0.9654 | 54350 | 0.0126 | - |
| 0.9663 | 54400 | 0.003 | - |
| 0.9671 | 54450 | 0.0063 | - |
| 0.9680 | 54500 | 0.0096 | - |
| 0.9689 | 54550 | 0.0025 | - |
| 0.9698 | 54600 | 0.0166 | - |
| 0.9707 | 54650 | 0.0104 | - |
| 0.9716 | 54700 | 0.0179 | - |
| 0.9725 | 54750 | 0.0073 | - |
| 0.9734 | 54800 | 0.0069 | - |
| 0.9742 | 54850 | 0.0058 | - |
| 0.9751 | 54900 | 0.0199 | - |
| 0.9760 | 54950 | 0.0116 | - |
| 0.9769 | 55000 | 0.0072 | - |
| 0.9778 | 55050 | 0.0012 | - |
| 0.9787 | 55100 | 0.0064 | - |
| 0.9796 | 55150 | 0.0201 | - |
| 0.9805 | 55200 | 0.0138 | - |
| 0.9813 | 55250 | 0.0016 | - |
| 0.9822 | 55300 | 0.0208 | - |
| 0.9831 | 55350 | 0.015 | - |
| 0.9840 | 55400 | 0.0015 | - |
| 0.9849 | 55450 | 0.003 | - |
| 0.9858 | 55500 | 0.004 | - |
| 0.9867 | 55550 | 0.0064 | - |
| 0.9876 | 55600 | 0.0017 | - |
| 0.9885 | 55650 | 0.0059 | - |
| 0.9893 | 55700 | 0.0058 | - |
| 0.9902 | 55750 | 0.0004 | - |
| 0.9911 | 55800 | 0.0012 | - |
| 0.9920 | 55850 | 0.0054 | - |
| 0.9929 | 55900 | 0.0012 | - |
| 0.9938 | 55950 | 0.0055 | - |
| 0.9947 | 56000 | 0.0039 | - |
| 0.9956 | 56050 | 0.0079 | - |
| 0.9964 | 56100 | 0.0076 | - |
| 0.9973 | 56150 | 0.0038 | - |
| 0.9982 | 56200 | 0.0074 | - |
| 0.9991 | 56250 | 0.0066 | - |
| 1.0 | 56300 | 0.0237 | - |
### Framework Versions
- Python: 3.10.12
- SetFit: 1.0.3
- Sentence Transformers: 3.0.0
- spaCy: 3.7.4
- Transformers: 4.36.2
- PyTorch: 2.3.0+cu121
- Datasets: 2.19.2
- Tokenizers: 0.15.2
## Citation
### BibTeX
```bibtex
@article{https://doi.org/10.48550/arxiv.2209.11055,
doi = {10.48550/ARXIV.2209.11055},
url = {https://arxiv.org/abs/2209.11055},
author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Efficient Few-Shot Learning Without Prompts},
publisher = {arXiv},
year = {2022},
copyright = {Creative Commons Attribution 4.0 International}
}
```