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---
library_name: setfit
tags:
- mtg
- multilabel
- magic
- setfit
- sentence-transformers
- text-classification
- generated_from_setfit_trainer
metrics:
- accuracy
widget:
- text: >-
Stoic Farmer
When Stoic Farmer enters the battlefield, search your library for a basic
Plains card and reveal it. If an opponent controls more lands than you, put
it onto the battlefield tapped. Otherwise put it into your hand. Then
shuffle.
Foretell {1}{W} (During your turn, you may pay {2} and exile this card from
your hand face down. Cast it on a later turn for its foretell cost.)
- text: |-
Hibernation Sliver
All Slivers have "Pay 2 life: Return this permanent to its owner's hand."
- text: |-
Scattershot Archer
{T}: Scattershot Archer deals 1 damage to each creature with flying.
- text: |-
Seize the Initiative
Target creature gets +1/+1 and gains first strike until end of turn.
- text: >-
Voldaren Duelist
Haste
When Voldaren Duelist enters the battlefield, target creature can't block
this turn.
pipeline_tag: text-classification
inference: false
base_model: sentence-transformers/paraphrase-mpnet-base-v2
model-index:
- name: SetFit with sentence-transformers/paraphrase-mpnet-base-v2
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: mtg-coloridentity-multilabel-classification
type: joshuasundance/mtg-coloridentity-multilabel-classification
split: test
metrics:
- type: accuracy
value: 0.7145687016027372
name: Accuracy
license: mit
datasets:
- joshuasundance/mtg-coloridentity-multilabel-classification
language:
- en
---
This is a proof-of-concept model trained on `datasets/joshuasundance/mtg-coloridentity-multilabel-classification`.
It takes card name + text as a single str as input and outputs color identity as an encoding:
```python
colors = ['B', 'G', 'R', 'U', 'W']
b = [1, 0, 0, 0, 0]
bw = [1, 0, 0, 0, 1]
gru = [0, 1, 1, 1, 0]
# and so on
```
# SetFit with sentence-transformers/paraphrase-mpnet-base-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2) as the Sentence Transformer embedding model. A OneVsRestClassifier instance is used for classification.
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.
## Model Details
### Model Description
- **Model Type:** SetFit
- **Sentence Transformer body:** [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2)
- **Classification head:** a OneVsRestClassifier instance
- **Maximum Sequence Length:** 512 tokens
<!-- - **Number of Classes:** Unknown -->
<!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
<!-- - **Language:** Unknown -->
<!-- - **License:** Unknown -->
### 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)
## Evaluation
### Metrics
| Label | Accuracy |
|:--------|:---------|
| **all** | 0.7146 |
### Classification Report
```text
precision recall f1-score support
0.80 0.77 0.78 594
B 0.81 0.76 0.78 821
BG 0.42 0.56 0.48 63
BGR 0.46 0.55 0.50 22
BGRU 0.00 0.00 0.00 0
BGRUW 0.73 0.33 0.46 24
BGRW 0.00 0.00 0.00 0
BGU 0.27 0.38 0.32 8
BGUW 0.12 1.00 0.22 1
BGW 0.14 0.33 0.19 9
BR 0.41 0.59 0.48 80
BRU 0.55 0.50 0.52 24
BRUW 0.00 0.00 0.00 0
BRW 0.29 0.36 0.32 14
BU 0.53 0.56 0.54 91
BUW 0.29 0.43 0.34 14
BW 0.36 0.37 0.37 73
G 0.77 0.76 0.77 791
GR 0.42 0.46 0.44 85
GRU 0.14 0.22 0.17 9
GRUW 0.00 0.00 0.00 0
GRW 0.27 0.50 0.35 18
GU 0.48 0.49 0.49 69
GUW 0.15 0.27 0.20 15
GW 0.40 0.43 0.41 89
R 0.81 0.77 0.79 803
RU 0.43 0.51 0.47 68
RUW 0.20 0.43 0.27 7
RW 0.47 0.49 0.48 80
U 0.83 0.81 0.82 818
UW 0.37 0.43 0.40 86
W 0.77 0.72 0.74 777
accuracy 0.71 5553
macro avg 0.40 0.46 0.41 5553
weighted avg 0.73 0.71 0.72 5553
```
## 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 SetFitModel
# Download from the 🤗 Hub
model = SetFitModel.from_pretrained("joshuasundance/mtg-coloridentity-multilabel-classification")
# Run inference
preds = model("Scattershot Archer
{T}: Scattershot Archer deals 1 damage to each creature with flying.")
```
<!--
### Downstream Use
*List how someone could finetune this model on their own dataset.*
-->
<!--
### Out-of-Scope Use
*List how the model may foreseeably be misused and address what users ought not to do with the model.*
-->
<!--
## Bias, Risks and Limitations
*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
-->
<!--
### Recommendations
*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
-->
## Training Details
### Training Set Metrics
| Training set | Min | Median | Max |
|:-------------|:----|:--------|:----|
| Word count | 2 | 27.6981 | 125 |
### Training Hyperparameters
- batch_size: (16, 16)
- num_epochs: (1, 1)
- max_steps: -1
- sampling_strategy: oversampling
- num_iterations: 20
- body_learning_rate: (2e-05, 2e-05)
- head_learning_rate: 2e-05
- loss: CosineSimilarityLoss
- distance_metric: cosine_distance
- margin: 0.25
- end_to_end: False
- use_amp: False
- 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 | 0.2605 | - |
| 0.0009 | 50 | 0.3223 | - |
| 0.0018 | 100 | 0.2684 | - |
| 0.0027 | 150 | 0.2719 | - |
| 0.0036 | 200 | 0.2633 | - |
| 0.0045 | 250 | 0.2316 | - |
| 0.0054 | 300 | 0.2421 | - |
| 0.0063 | 350 | 0.214 | - |
| 0.0072 | 400 | 0.2395 | - |
| 0.0081 | 450 | 0.2538 | - |
| 0.0090 | 500 | 0.2395 | - |
| 0.0099 | 550 | 0.2397 | - |
| 0.0108 | 600 | 0.26 | - |
| 0.0117 | 650 | 0.2746 | - |
| 0.0126 | 700 | 0.2475 | - |
| 0.0135 | 750 | 0.2246 | - |
| 0.0144 | 800 | 0.2283 | - |
| 0.0153 | 850 | 0.2298 | - |
| 0.0162 | 900 | 0.215 | - |
| 0.0171 | 950 | 0.207 | - |
| 0.0180 | 1000 | 0.267 | - |
| 0.0189 | 1050 | 0.2208 | - |
| 0.0198 | 1100 | 0.279 | - |
| 0.0207 | 1150 | 0.229 | - |
| 0.0216 | 1200 | 0.2151 | - |
| 0.0225 | 1250 | 0.2535 | - |
| 0.0234 | 1300 | 0.2877 | - |
| 0.0243 | 1350 | 0.2363 | - |
| 0.0252 | 1400 | 0.2105 | - |
| 0.0261 | 1450 | 0.2008 | - |
| 0.0270 | 1500 | 0.2007 | - |
| 0.0279 | 1550 | 0.2174 | - |
| 0.0288 | 1600 | 0.2656 | - |
| 0.0297 | 1650 | 0.2201 | - |
| 0.0306 | 1700 | 0.2003 | - |
| 0.0315 | 1750 | 0.1754 | - |
| 0.0324 | 1800 | 0.1691 | - |
| 0.0333 | 1850 | 0.1601 | - |
| 0.0342 | 1900 | 0.2164 | - |
| 0.0351 | 1950 | 0.2484 | - |
| 0.0360 | 2000 | 0.1987 | - |
| 0.0369 | 2050 | 0.2213 | - |
| 0.0378 | 2100 | 0.1926 | - |
| 0.0387 | 2150 | 0.203 | - |
| 0.0396 | 2200 | 0.3085 | - |
| 0.0405 | 2250 | 0.1433 | - |
| 0.0414 | 2300 | 0.2142 | - |
| 0.0423 | 2350 | 0.2168 | - |
| 0.0432 | 2400 | 0.1593 | - |
| 0.0441 | 2450 | 0.1916 | - |
| 0.0450 | 2500 | 0.2276 | - |
| 0.0459 | 2550 | 0.1327 | - |
| 0.0468 | 2600 | 0.2008 | - |
| 0.0477 | 2650 | 0.176 | - |
| 0.0486 | 2700 | 0.156 | - |
| 0.0495 | 2750 | 0.1111 | - |
| 0.0504 | 2800 | 0.1874 | - |
| 0.0513 | 2850 | 0.1932 | - |
| 0.0522 | 2900 | 0.1368 | - |
| 0.0531 | 2950 | 0.2034 | - |
| 0.0540 | 3000 | 0.2156 | - |
| 0.0549 | 3050 | 0.2058 | - |
| 0.0558 | 3100 | 0.2087 | - |
| 0.0567 | 3150 | 0.2237 | - |
| 0.0576 | 3200 | 0.1176 | - |
| 0.0585 | 3250 | 0.2106 | - |
| 0.0594 | 3300 | 0.1955 | - |
| 0.0603 | 3350 | 0.3023 | - |
| 0.0612 | 3400 | 0.1772 | - |
| 0.0621 | 3450 | 0.1349 | - |
| 0.0630 | 3500 | 0.228 | - |
| 0.0639 | 3550 | 0.1392 | - |
| 0.0648 | 3600 | 0.2427 | - |
| 0.0657 | 3650 | 0.1837 | - |
| 0.0666 | 3700 | 0.1677 | - |
| 0.0675 | 3750 | 0.1701 | - |
| 0.0684 | 3800 | 0.1005 | - |
| 0.0693 | 3850 | 0.1389 | - |
| 0.0702 | 3900 | 0.1104 | - |
| 0.0711 | 3950 | 0.1995 | - |
| 0.0720 | 4000 | 0.1954 | - |
| 0.0729 | 4050 | 0.2294 | - |
| 0.0738 | 4100 | 0.2467 | - |
| 0.0747 | 4150 | 0.1473 | - |
| 0.0756 | 4200 | 0.2144 | - |
| 0.0765 | 4250 | 0.2426 | - |
| 0.0774 | 4300 | 0.117 | - |
| 0.0784 | 4350 | 0.1414 | - |
| 0.0793 | 4400 | 0.1858 | - |
| 0.0802 | 4450 | 0.142 | - |
| 0.0811 | 4500 | 0.2029 | - |
| 0.0820 | 4550 | 0.0982 | - |
| 0.0829 | 4600 | 0.2232 | - |
| 0.0838 | 4650 | 0.1262 | - |
| 0.0847 | 4700 | 0.1787 | - |
| 0.0856 | 4750 | 0.1136 | - |
| 0.0865 | 4800 | 0.1539 | - |
| 0.0874 | 4850 | 0.1044 | - |
| 0.0883 | 4900 | 0.1124 | - |
| 0.0892 | 4950 | 0.2406 | - |
| 0.0901 | 5000 | 0.1673 | - |
| 0.0910 | 5050 | 0.1529 | - |
| 0.0919 | 5100 | 0.1105 | - |
| 0.0928 | 5150 | 0.2392 | - |
| 0.0937 | 5200 | 0.1937 | - |
| 0.0946 | 5250 | 0.2045 | - |
| 0.0955 | 5300 | 0.1527 | - |
| 0.0964 | 5350 | 0.0835 | - |
| 0.0973 | 5400 | 0.2018 | - |
| 0.0982 | 5450 | 0.1031 | - |
| 0.0991 | 5500 | 0.1805 | - |
| 0.1000 | 5550 | 0.2392 | - |
| 0.1009 | 5600 | 0.0867 | - |
| 0.1018 | 5650 | 0.1787 | - |
| 0.1027 | 5700 | 0.0891 | - |
| 0.1036 | 5750 | 0.2148 | - |
| 0.1045 | 5800 | 0.0937 | - |
| 0.1054 | 5850 | 0.1451 | - |
| 0.1063 | 5900 | 0.189 | - |
| 0.1072 | 5950 | 0.1082 | - |
| 0.1081 | 6000 | 0.2226 | - |
| 0.1090 | 6050 | 0.1938 | - |
| 0.1099 | 6100 | 0.1394 | - |
| 0.1108 | 6150 | 0.2158 | - |
| 0.1117 | 6200 | 0.142 | - |
| 0.1126 | 6250 | 0.1007 | - |
| 0.1135 | 6300 | 0.1545 | - |
| 0.1144 | 6350 | 0.1162 | - |
| 0.1153 | 6400 | 0.142 | - |
| 0.1162 | 6450 | 0.1252 | - |
| 0.1171 | 6500 | 0.1764 | - |
| 0.1180 | 6550 | 0.0405 | - |
| 0.1189 | 6600 | 0.0682 | - |
| 0.1198 | 6650 | 0.1181 | - |
| 0.1207 | 6700 | 0.1066 | - |
| 0.1216 | 6750 | 0.2133 | - |
| 0.1225 | 6800 | 0.1513 | - |
| 0.1234 | 6850 | 0.0937 | - |
| 0.1243 | 6900 | 0.1249 | - |
| 0.1252 | 6950 | 0.2474 | - |
| 0.1261 | 7000 | 0.0905 | - |
| 0.1270 | 7050 | 0.1067 | - |
| 0.1279 | 7100 | 0.1639 | - |
| 0.1288 | 7150 | 0.2112 | - |
| 0.1297 | 7200 | 0.0852 | - |
| 0.1306 | 7250 | 0.0963 | - |
| 0.1315 | 7300 | 0.1056 | - |
| 0.1324 | 7350 | 0.0679 | - |
| 0.1333 | 7400 | 0.0888 | - |
| 0.1342 | 7450 | 0.1096 | - |
| 0.1351 | 7500 | 0.0855 | - |
| 0.1360 | 7550 | 0.0702 | - |
| 0.1369 | 7600 | 0.0456 | - |
| 0.1378 | 7650 | 0.1596 | - |
| 0.1387 | 7700 | 0.1146 | - |
| 0.1396 | 7750 | 0.1561 | - |
| 0.1405 | 7800 | 0.134 | - |
| 0.1414 | 7850 | 0.1962 | - |
| 0.1423 | 7900 | 0.1557 | - |
| 0.1432 | 7950 | 0.1178 | - |
| 0.1441 | 8000 | 0.142 | - |
| 0.1450 | 8050 | 0.1368 | - |
| 0.1459 | 8100 | 0.1537 | - |
| 0.1468 | 8150 | 0.1454 | - |
| 0.1477 | 8200 | 0.2237 | - |
| 0.1486 | 8250 | 0.1172 | - |
| 0.1495 | 8300 | 0.0987 | - |
| 0.1504 | 8350 | 0.062 | - |
| 0.1513 | 8400 | 0.0981 | - |
| 0.1522 | 8450 | 0.1276 | - |
| 0.1531 | 8500 | 0.1503 | - |
| 0.1540 | 8550 | 0.099 | - |
| 0.1549 | 8600 | 0.1606 | - |
| 0.1558 | 8650 | 0.1157 | - |
| 0.1567 | 8700 | 0.0971 | - |
| 0.1576 | 8750 | 0.1783 | - |
| 0.1585 | 8800 | 0.0727 | - |
| 0.1594 | 8850 | 0.0888 | - |
| 0.1603 | 8900 | 0.1898 | - |
| 0.1612 | 8950 | 0.1185 | - |
| 0.1621 | 9000 | 0.1595 | - |
| 0.1630 | 9050 | 0.1044 | - |
| 0.1639 | 9100 | 0.1146 | - |
| 0.1648 | 9150 | 0.1444 | - |
| 0.1657 | 9200 | 0.0684 | - |
| 0.1666 | 9250 | 0.0735 | - |
| 0.1675 | 9300 | 0.0986 | - |
| 0.1684 | 9350 | 0.1439 | - |
| 0.1693 | 9400 | 0.0933 | - |
| 0.1702 | 9450 | 0.1357 | - |
| 0.1711 | 9500 | 0.0887 | - |
| 0.1720 | 9550 | 0.1112 | - |
| 0.1729 | 9600 | 0.0949 | - |
| 0.1738 | 9650 | 0.0777 | - |
| 0.1747 | 9700 | 0.0964 | - |
| 0.1756 | 9750 | 0.1507 | - |
| 0.1765 | 9800 | 0.0949 | - |
| 0.1774 | 9850 | 0.0218 | - |
| 0.1783 | 9900 | 0.0985 | - |
| 0.1792 | 9950 | 0.0662 | - |
| 0.1801 | 10000 | 0.1998 | - |
| 0.1810 | 10050 | 0.0385 | - |
| 0.1819 | 10100 | 0.0991 | - |
| 0.1828 | 10150 | 0.1084 | - |
| 0.1837 | 10200 | 0.0837 | - |
| 0.1846 | 10250 | 0.1003 | - |
| 0.1855 | 10300 | 0.1278 | - |
| 0.1864 | 10350 | 0.1085 | - |
| 0.1873 | 10400 | 0.093 | - |
| 0.1882 | 10450 | 0.0794 | - |
| 0.1891 | 10500 | 0.1013 | - |
| 0.1900 | 10550 | 0.0605 | - |
| 0.1909 | 10600 | 0.1076 | - |
| 0.1918 | 10650 | 0.2 | - |
| 0.1927 | 10700 | 0.2024 | - |
| 0.1936 | 10750 | 0.1346 | - |
| 0.1945 | 10800 | 0.0548 | - |
| 0.1954 | 10850 | 0.0828 | - |
| 0.1963 | 10900 | 0.0776 | - |
| 0.1972 | 10950 | 0.0694 | - |
| 0.1981 | 11000 | 0.1473 | - |
| 0.1990 | 11050 | 0.1222 | - |
| 0.1999 | 11100 | 0.0889 | - |
| 0.2008 | 11150 | 0.1062 | - |
| 0.2017 | 11200 | 0.1663 | - |
| 0.2026 | 11250 | 0.1587 | - |
| 0.2035 | 11300 | 0.1054 | - |
| 0.2044 | 11350 | 0.0915 | - |
| 0.2053 | 11400 | 0.0517 | - |
| 0.2062 | 11450 | 0.0782 | - |
| 0.2071 | 11500 | 0.1826 | - |
| 0.2080 | 11550 | 0.1524 | - |
| 0.2089 | 11600 | 0.1023 | - |
| 0.2098 | 11650 | 0.1056 | - |
| 0.2107 | 11700 | 0.1251 | - |
| 0.2116 | 11750 | 0.0895 | - |
| 0.2125 | 11800 | 0.1104 | - |
| 0.2134 | 11850 | 0.0762 | - |
| 0.2143 | 11900 | 0.1532 | - |
| 0.2152 | 11950 | 0.0941 | - |
| 0.2161 | 12000 | 0.1207 | - |
| 0.2170 | 12050 | 0.0839 | - |
| 0.2179 | 12100 | 0.0431 | - |
| 0.2188 | 12150 | 0.1572 | - |
| 0.2197 | 12200 | 0.0717 | - |
| 0.2206 | 12250 | 0.1244 | - |
| 0.2215 | 12300 | 0.1261 | - |
| 0.2224 | 12350 | 0.0732 | - |
| 0.2233 | 12400 | 0.1829 | - |
| 0.2242 | 12450 | 0.1142 | - |
| 0.2251 | 12500 | 0.0272 | - |
| 0.2260 | 12550 | 0.1645 | - |
| 0.2269 | 12600 | 0.0775 | - |
| 0.2278 | 12650 | 0.1358 | - |
| 0.2287 | 12700 | 0.0485 | - |
| 0.2296 | 12750 | 0.1348 | - |
| 0.2305 | 12800 | 0.1387 | - |
| 0.2314 | 12850 | 0.0783 | - |
| 0.2323 | 12900 | 0.0713 | - |
| 0.2332 | 12950 | 0.0838 | - |
| 0.2341 | 13000 | 0.1496 | - |
| 0.2351 | 13050 | 0.0463 | - |
| 0.2360 | 13100 | 0.0665 | - |
| 0.2369 | 13150 | 0.0149 | - |
| 0.2378 | 13200 | 0.0744 | - |
| 0.2387 | 13250 | 0.0411 | - |
| 0.2396 | 13300 | 0.1816 | - |
| 0.2405 | 13350 | 0.0956 | - |
| 0.2414 | 13400 | 0.1163 | - |
| 0.2423 | 13450 | 0.1136 | - |
| 0.2432 | 13500 | 0.116 | - |
| 0.2441 | 13550 | 0.0997 | - |
| 0.2450 | 13600 | 0.0649 | - |
| 0.2459 | 13650 | 0.0291 | - |
| 0.2468 | 13700 | 0.1282 | - |
| 0.2477 | 13750 | 0.0576 | - |
| 0.2486 | 13800 | 0.0891 | - |
| 0.2495 | 13850 | 0.0872 | - |
| 0.2504 | 13900 | 0.0606 | - |
| 0.2513 | 13950 | 0.0508 | - |
| 0.2522 | 14000 | 0.0457 | - |
| 0.2531 | 14050 | 0.0656 | - |
| 0.2540 | 14100 | 0.0936 | - |
| 0.2549 | 14150 | 0.0739 | - |
| 0.2558 | 14200 | 0.0941 | - |
| 0.2567 | 14250 | 0.1054 | - |
| 0.2576 | 14300 | 0.1083 | - |
| 0.2585 | 14350 | 0.0662 | - |
| 0.2594 | 14400 | 0.1149 | - |
| 0.2603 | 14450 | 0.1683 | - |
| 0.2612 | 14500 | 0.0796 | - |
| 0.2621 | 14550 | 0.0439 | - |
| 0.2630 | 14600 | 0.027 | - |
| 0.2639 | 14650 | 0.0666 | - |
| 0.2648 | 14700 | 0.041 | - |
| 0.2657 | 14750 | 0.0915 | - |
| 0.2666 | 14800 | 0.0678 | - |
| 0.2675 | 14850 | 0.1054 | - |
| 0.2684 | 14900 | 0.051 | - |
| 0.2693 | 14950 | 0.1416 | - |
| 0.2702 | 15000 | 0.0569 | - |
| 0.2711 | 15050 | 0.0851 | - |
| 0.2720 | 15100 | 0.065 | - |
| 0.2729 | 15150 | 0.0199 | - |
| 0.2738 | 15200 | 0.0837 | - |
| 0.2747 | 15250 | 0.0828 | - |
| 0.2756 | 15300 | 0.1139 | - |
| 0.2765 | 15350 | 0.1072 | - |
| 0.2774 | 15400 | 0.1733 | - |
| 0.2783 | 15450 | 0.1137 | - |
| 0.2792 | 15500 | 0.0504 | - |
| 0.2801 | 15550 | 0.0513 | - |
| 0.2810 | 15600 | 0.0579 | - |
| 0.2819 | 15650 | 0.0765 | - |
| 0.2828 | 15700 | 0.0466 | - |
| 0.2837 | 15750 | 0.0887 | - |
| 0.2846 | 15800 | 0.0741 | - |
| 0.2855 | 15850 | 0.0617 | - |
| 0.2864 | 15900 | 0.0368 | - |
| 0.2873 | 15950 | 0.0632 | - |
| 0.2882 | 16000 | 0.062 | - |
| 0.2891 | 16050 | 0.0413 | - |
| 0.2900 | 16100 | 0.0347 | - |
| 0.2909 | 16150 | 0.1019 | - |
| 0.2918 | 16200 | 0.0846 | - |
| 0.2927 | 16250 | 0.0714 | - |
| 0.2936 | 16300 | 0.0389 | - |
| 0.2945 | 16350 | 0.0514 | - |
| 0.2954 | 16400 | 0.1095 | - |
| 0.2963 | 16450 | 0.0753 | - |
| 0.2972 | 16500 | 0.0648 | - |
| 0.2981 | 16550 | 0.062 | - |
| 0.2990 | 16600 | 0.065 | - |
| 0.2999 | 16650 | 0.1014 | - |
| 0.3008 | 16700 | 0.037 | - |
| 0.3017 | 16750 | 0.1058 | - |
| 0.3026 | 16800 | 0.1038 | - |
| 0.3035 | 16850 | 0.0733 | - |
| 0.3044 | 16900 | 0.0791 | - |
| 0.3053 | 16950 | 0.1121 | - |
| 0.3062 | 17000 | 0.1084 | - |
| 0.3071 | 17050 | 0.0496 | - |
| 0.3080 | 17100 | 0.0733 | - |
| 0.3089 | 17150 | 0.0379 | - |
| 0.3098 | 17200 | 0.0448 | - |
| 0.3107 | 17250 | 0.1056 | - |
| 0.3116 | 17300 | 0.0687 | - |
| 0.3125 | 17350 | 0.0245 | - |
| 0.3134 | 17400 | 0.0584 | - |
| 0.3143 | 17450 | 0.0946 | - |
| 0.3152 | 17500 | 0.0857 | - |
| 0.3161 | 17550 | 0.1144 | - |
| 0.3170 | 17600 | 0.1119 | - |
| 0.3179 | 17650 | 0.1323 | - |
| 0.3188 | 17700 | 0.1026 | - |
| 0.3197 | 17750 | 0.0933 | - |
| 0.3206 | 17800 | 0.0671 | - |
| 0.3215 | 17850 | 0.0132 | - |
| 0.3224 | 17900 | 0.0611 | - |
| 0.3233 | 17950 | 0.056 | - |
| 0.3242 | 18000 | 0.0329 | - |
| 0.3251 | 18050 | 0.0358 | - |
| 0.3260 | 18100 | 0.1389 | - |
| 0.3269 | 18150 | 0.0653 | - |
| 0.3278 | 18200 | 0.0438 | - |
| 0.3287 | 18250 | 0.0612 | - |
| 0.3296 | 18300 | 0.1245 | - |
| 0.3305 | 18350 | 0.1018 | - |
| 0.3314 | 18400 | 0.082 | - |
| 0.3323 | 18450 | 0.0577 | - |
| 0.3332 | 18500 | 0.1349 | - |
| 0.3341 | 18550 | 0.0871 | - |
| 0.3350 | 18600 | 0.0525 | - |
| 0.3359 | 18650 | 0.0551 | - |
| 0.3368 | 18700 | 0.046 | - |
| 0.3377 | 18750 | 0.1323 | - |
| 0.3386 | 18800 | 0.147 | - |
| 0.3395 | 18850 | 0.045 | - |
| 0.3404 | 18900 | 0.027 | - |
| 0.3413 | 18950 | 0.1375 | - |
| 0.3422 | 19000 | 0.0569 | - |
| 0.3431 | 19050 | 0.0454 | - |
| 0.3440 | 19100 | 0.1545 | - |
| 0.3449 | 19150 | 0.0703 | - |
| 0.3458 | 19200 | 0.0434 | - |
| 0.3467 | 19250 | 0.0133 | - |
| 0.3476 | 19300 | 0.095 | - |
| 0.3485 | 19350 | 0.0344 | - |
| 0.3494 | 19400 | 0.0449 | - |
| 0.3503 | 19450 | 0.1665 | - |
| 0.3512 | 19500 | 0.0521 | - |
| 0.3521 | 19550 | 0.0844 | - |
| 0.3530 | 19600 | 0.1029 | - |
| 0.3539 | 19650 | 0.0858 | - |
| 0.3548 | 19700 | 0.1014 | - |
| 0.3557 | 19750 | 0.076 | - |
| 0.3566 | 19800 | 0.0882 | - |
| 0.3575 | 19850 | 0.1332 | - |
| 0.3584 | 19900 | 0.0877 | - |
| 0.3593 | 19950 | 0.0531 | - |
| 0.3602 | 20000 | 0.0796 | - |
| 0.3611 | 20050 | 0.0783 | - |
| 0.3620 | 20100 | 0.044 | - |
| 0.3629 | 20150 | 0.182 | - |
| 0.3638 | 20200 | 0.0672 | - |
| 0.3647 | 20250 | 0.0571 | - |
| 0.3656 | 20300 | 0.0452 | - |
| 0.3665 | 20350 | 0.0693 | - |
| 0.3674 | 20400 | 0.087 | - |
| 0.3683 | 20450 | 0.0594 | - |
| 0.3692 | 20500 | 0.0791 | - |
| 0.3701 | 20550 | 0.0546 | - |
| 0.3710 | 20600 | 0.1234 | - |
| 0.3719 | 20650 | 0.0592 | - |
| 0.3728 | 20700 | 0.0462 | - |
| 0.3737 | 20750 | 0.064 | - |
| 0.3746 | 20800 | 0.0991 | - |
| 0.3755 | 20850 | 0.0322 | - |
| 0.3764 | 20900 | 0.0624 | - |
| 0.3773 | 20950 | 0.0522 | - |
| 0.3782 | 21000 | 0.0826 | - |
| 0.3791 | 21050 | 0.0962 | - |
| 0.3800 | 21100 | 0.0556 | - |
| 0.3809 | 21150 | 0.0287 | - |
| 0.3818 | 21200 | 0.0798 | - |
| 0.3827 | 21250 | 0.0722 | - |
| 0.3836 | 21300 | 0.0784 | - |
| 0.3845 | 21350 | 0.0558 | - |
| 0.3854 | 21400 | 0.0405 | - |
| 0.3863 | 21450 | 0.1242 | - |
| 0.3872 | 21500 | 0.1275 | - |
| 0.3881 | 21550 | 0.0679 | - |
| 0.3890 | 21600 | 0.05 | - |
| 0.3899 | 21650 | 0.0593 | - |
| 0.3909 | 21700 | 0.1064 | - |
| 0.3918 | 21750 | 0.1139 | - |
| 0.3927 | 21800 | 0.1437 | - |
| 0.3936 | 21850 | 0.1023 | - |
| 0.3945 | 21900 | 0.0259 | - |
| 0.3954 | 21950 | 0.0481 | - |
| 0.3963 | 22000 | 0.0358 | - |
| 0.3972 | 22050 | 0.0236 | - |
| 0.3981 | 22100 | 0.0573 | - |
| 0.3990 | 22150 | 0.123 | - |
| 0.3999 | 22200 | 0.0783 | - |
| 0.4008 | 22250 | 0.0661 | - |
| 0.4017 | 22300 | 0.0598 | - |
| 0.4026 | 22350 | 0.0387 | - |
| 0.4035 | 22400 | 0.0347 | - |
| 0.4044 | 22450 | 0.0271 | - |
| 0.4053 | 22500 | 0.0532 | - |
| 0.4062 | 22550 | 0.0515 | - |
| 0.4071 | 22600 | 0.0416 | - |
| 0.4080 | 22650 | 0.0912 | - |
| 0.4089 | 22700 | 0.0275 | - |
| 0.4098 | 22750 | 0.1205 | - |
| 0.4107 | 22800 | 0.025 | - |
| 0.4116 | 22850 | 0.0827 | - |
| 0.4125 | 22900 | 0.1313 | - |
| 0.4134 | 22950 | 0.0709 | - |
| 0.4143 | 23000 | 0.045 | - |
| 0.4152 | 23050 | 0.07 | - |
| 0.4161 | 23100 | 0.1394 | - |
| 0.4170 | 23150 | 0.0125 | - |
| 0.4179 | 23200 | 0.0982 | - |
| 0.4188 | 23250 | 0.0595 | - |
| 0.4197 | 23300 | 0.1046 | - |
| 0.4206 | 23350 | 0.0363 | - |
| 0.4215 | 23400 | 0.0789 | - |
| 0.4224 | 23450 | 0.0477 | - |
| 0.4233 | 23500 | 0.1119 | - |
| 0.4242 | 23550 | 0.0854 | - |
| 0.4251 | 23600 | 0.0811 | - |
| 0.4260 | 23650 | 0.0482 | - |
| 0.4269 | 23700 | 0.0241 | - |
| 0.4278 | 23750 | 0.0508 | - |
| 0.4287 | 23800 | 0.0437 | - |
| 0.4296 | 23850 | 0.1025 | - |
| 0.4305 | 23900 | 0.0857 | - |
| 0.4314 | 23950 | 0.0242 | - |
| 0.4323 | 24000 | 0.0993 | - |
| 0.4332 | 24050 | 0.0426 | - |
| 0.4341 | 24100 | 0.0259 | - |
| 0.4350 | 24150 | 0.0612 | - |
| 0.4359 | 24200 | 0.0604 | - |
| 0.4368 | 24250 | 0.0838 | - |
| 0.4377 | 24300 | 0.1664 | - |
| 0.4386 | 24350 | 0.0614 | - |
| 0.4395 | 24400 | 0.0525 | - |
| 0.4404 | 24450 | 0.036 | - |
| 0.4413 | 24500 | 0.0293 | - |
| 0.4422 | 24550 | 0.0181 | - |
| 0.4431 | 24600 | 0.0901 | - |
| 0.4440 | 24650 | 0.0812 | - |
| 0.4449 | 24700 | 0.0439 | - |
| 0.4458 | 24750 | 0.1715 | - |
| 0.4467 | 24800 | 0.0555 | - |
| 0.4476 | 24850 | 0.0177 | - |
| 0.4485 | 24900 | 0.0253 | - |
| 0.4494 | 24950 | 0.1183 | - |
| 0.4503 | 25000 | 0.0599 | - |
| 0.4512 | 25050 | 0.0783 | - |
| 0.4521 | 25100 | 0.0889 | - |
| 0.4530 | 25150 | 0.0186 | - |
| 0.4539 | 25200 | 0.075 | - |
| 0.4548 | 25250 | 0.03 | - |
| 0.4557 | 25300 | 0.0311 | - |
| 0.4566 | 25350 | 0.0826 | - |
| 0.4575 | 25400 | 0.0406 | - |
| 0.4584 | 25450 | 0.0672 | - |
| 0.4593 | 25500 | 0.0872 | - |
| 0.4602 | 25550 | 0.1159 | - |
| 0.4611 | 25600 | 0.0405 | - |
| 0.4620 | 25650 | 0.0318 | - |
| 0.4629 | 25700 | 0.075 | - |
| 0.4638 | 25750 | 0.0533 | - |
| 0.4647 | 25800 | 0.0498 | - |
| 0.4656 | 25850 | 0.0694 | - |
| 0.4665 | 25900 | 0.0394 | - |
| 0.4674 | 25950 | 0.1791 | - |
| 0.4683 | 26000 | 0.0315 | - |
| 0.4692 | 26050 | 0.0277 | - |
| 0.4701 | 26100 | 0.0447 | - |
| 0.4710 | 26150 | 0.059 | - |
| 0.4719 | 26200 | 0.0787 | - |
| 0.4728 | 26250 | 0.0743 | - |
| 0.4737 | 26300 | 0.0304 | - |
| 0.4746 | 26350 | 0.0507 | - |
| 0.4755 | 26400 | 0.0389 | - |
| 0.4764 | 26450 | 0.0399 | - |
| 0.4773 | 26500 | 0.0201 | - |
| 0.4782 | 26550 | 0.0423 | - |
| 0.4791 | 26600 | 0.0408 | - |
| 0.4800 | 26650 | 0.0329 | - |
| 0.4809 | 26700 | 0.0288 | - |
| 0.4818 | 26750 | 0.1072 | - |
| 0.4827 | 26800 | 0.1211 | - |
| 0.4836 | 26850 | 0.0531 | - |
| 0.4845 | 26900 | 0.0967 | - |
| 0.4854 | 26950 | 0.0188 | - |
| 0.4863 | 27000 | 0.0868 | - |
| 0.4872 | 27050 | 0.1007 | - |
| 0.4881 | 27100 | 0.0375 | - |
| 0.4890 | 27150 | 0.0529 | - |
| 0.4899 | 27200 | 0.0422 | - |
| 0.4908 | 27250 | 0.0391 | - |
| 0.4917 | 27300 | 0.0221 | - |
| 0.4926 | 27350 | 0.1447 | - |
| 0.4935 | 27400 | 0.0505 | - |
| 0.4944 | 27450 | 0.1414 | - |
| 0.4953 | 27500 | 0.0798 | - |
| 0.4962 | 27550 | 0.0375 | - |
| 0.4971 | 27600 | 0.0603 | - |
| 0.4980 | 27650 | 0.1289 | - |
| 0.4989 | 27700 | 0.0574 | - |
| 0.4998 | 27750 | 0.0957 | - |
| 0.5007 | 27800 | 0.0799 | - |
| 0.5016 | 27850 | 0.0755 | - |
| 0.5025 | 27900 | 0.0888 | - |
| 0.5034 | 27950 | 0.0168 | - |
| 0.5043 | 28000 | 0.0764 | - |
| 0.5052 | 28050 | 0.0392 | - |
| 0.5061 | 28100 | 0.0383 | - |
| 0.5070 | 28150 | 0.0313 | - |
| 0.5079 | 28200 | 0.0074 | - |
| 0.5088 | 28250 | 0.091 | - |
| 0.5097 | 28300 | 0.0608 | - |
| 0.5106 | 28350 | 0.0332 | - |
| 0.5115 | 28400 | 0.0997 | - |
| 0.5124 | 28450 | 0.0805 | - |
| 0.5133 | 28500 | 0.0378 | - |
| 0.5142 | 28550 | 0.08 | - |
| 0.5151 | 28600 | 0.0394 | - |
| 0.5160 | 28650 | 0.0712 | - |
| 0.5169 | 28700 | 0.0284 | - |
| 0.5178 | 28750 | 0.0301 | - |
| 0.5187 | 28800 | 0.1545 | - |
| 0.5196 | 28850 | 0.0546 | - |
| 0.5205 | 28900 | 0.0302 | - |
| 0.5214 | 28950 | 0.0518 | - |
| 0.5223 | 29000 | 0.0488 | - |
| 0.5232 | 29050 | 0.091 | - |
| 0.5241 | 29100 | 0.0989 | - |
| 0.5250 | 29150 | 0.0481 | - |
| 0.5259 | 29200 | 0.1095 | - |
| 0.5268 | 29250 | 0.0343 | - |
| 0.5277 | 29300 | 0.0334 | - |
| 0.5286 | 29350 | 0.0449 | - |
| 0.5295 | 29400 | 0.064 | - |
| 0.5304 | 29450 | 0.0749 | - |
| 0.5313 | 29500 | 0.0084 | - |
| 0.5322 | 29550 | 0.0247 | - |
| 0.5331 | 29600 | 0.0204 | - |
| 0.5340 | 29650 | 0.0369 | - |
| 0.5349 | 29700 | 0.0921 | - |
| 0.5358 | 29750 | 0.0607 | - |
| 0.5367 | 29800 | 0.0384 | - |
| 0.5376 | 29850 | 0.0867 | - |
| 0.5385 | 29900 | 0.1473 | - |
| 0.5394 | 29950 | 0.0606 | - |
| 0.5403 | 30000 | 0.0799 | - |
| 0.5412 | 30050 | 0.0747 | - |
| 0.5421 | 30100 | 0.0769 | - |
| 0.5430 | 30150 | 0.0244 | - |
| 0.5439 | 30200 | 0.0641 | - |
| 0.5448 | 30250 | 0.0333 | - |
| 0.5457 | 30300 | 0.0245 | - |
| 0.5466 | 30350 | 0.0185 | - |
| 0.5476 | 30400 | 0.0478 | - |
| 0.5485 | 30450 | 0.0846 | - |
| 0.5494 | 30500 | 0.068 | - |
| 0.5503 | 30550 | 0.0687 | - |
| 0.5512 | 30600 | 0.0521 | - |
| 0.5521 | 30650 | 0.0592 | - |
| 0.5530 | 30700 | 0.0493 | - |
| 0.5539 | 30750 | 0.035 | - |
| 0.5548 | 30800 | 0.0773 | - |
| 0.5557 | 30850 | 0.0627 | - |
| 0.5566 | 30900 | 0.0299 | - |
| 0.5575 | 30950 | 0.0815 | - |
| 0.5584 | 31000 | 0.0207 | - |
| 0.5593 | 31050 | 0.0339 | - |
| 0.5602 | 31100 | 0.0205 | - |
| 0.5611 | 31150 | 0.0559 | - |
| 0.5620 | 31200 | 0.0605 | - |
| 0.5629 | 31250 | 0.0251 | - |
| 0.5638 | 31300 | 0.0905 | - |
| 0.5647 | 31350 | 0.0185 | - |
| 0.5656 | 31400 | 0.0461 | - |
| 0.5665 | 31450 | 0.0444 | - |
| 0.5674 | 31500 | 0.0465 | - |
| 0.5683 | 31550 | 0.0194 | - |
| 0.5692 | 31600 | 0.0353 | - |
| 0.5701 | 31650 | 0.0668 | - |
| 0.5710 | 31700 | 0.0831 | - |
| 0.5719 | 31750 | 0.0845 | - |
| 0.5728 | 31800 | 0.0525 | - |
| 0.5737 | 31850 | 0.0418 | - |
| 0.5746 | 31900 | 0.0239 | - |
| 0.5755 | 31950 | 0.0667 | - |
| 0.5764 | 32000 | 0.0419 | - |
| 0.5773 | 32050 | 0.1183 | - |
| 0.5782 | 32100 | 0.0358 | - |
| 0.5791 | 32150 | 0.0341 | - |
| 0.5800 | 32200 | 0.0462 | - |
| 0.5809 | 32250 | 0.0119 | - |
| 0.5818 | 32300 | 0.0309 | - |
| 0.5827 | 32350 | 0.0614 | - |
| 0.5836 | 32400 | 0.0688 | - |
| 0.5845 | 32450 | 0.0242 | - |
| 0.5854 | 32500 | 0.0384 | - |
| 0.5863 | 32550 | 0.0764 | - |
| 0.5872 | 32600 | 0.0512 | - |
| 0.5881 | 32650 | 0.0545 | - |
| 0.5890 | 32700 | 0.0515 | - |
| 0.5899 | 32750 | 0.0905 | - |
| 0.5908 | 32800 | 0.0266 | - |
| 0.5917 | 32850 | 0.1118 | - |
| 0.5926 | 32900 | 0.0393 | - |
| 0.5935 | 32950 | 0.0172 | - |
| 0.5944 | 33000 | 0.0303 | - |
| 0.5953 | 33050 | 0.0523 | - |
| 0.5962 | 33100 | 0.0153 | - |
| 0.5971 | 33150 | 0.0347 | - |
| 0.5980 | 33200 | 0.0144 | - |
| 0.5989 | 33250 | 0.0826 | - |
| 0.5998 | 33300 | 0.0194 | - |
| 0.6007 | 33350 | 0.031 | - |
| 0.6016 | 33400 | 0.1032 | - |
| 0.6025 | 33450 | 0.0865 | - |
| 0.6034 | 33500 | 0.0175 | - |
| 0.6043 | 33550 | 0.0785 | - |
| 0.6052 | 33600 | 0.0645 | - |
| 0.6061 | 33650 | 0.012 | - |
| 0.6070 | 33700 | 0.0237 | - |
| 0.6079 | 33750 | 0.0527 | - |
| 0.6088 | 33800 | 0.0375 | - |
| 0.6097 | 33850 | 0.0727 | - |
| 0.6106 | 33900 | 0.0764 | - |
| 0.6115 | 33950 | 0.0447 | - |
| 0.6124 | 34000 | 0.0358 | - |
| 0.6133 | 34050 | 0.0762 | - |
| 0.6142 | 34100 | 0.0306 | - |
| 0.6151 | 34150 | 0.0431 | - |
| 0.6160 | 34200 | 0.0256 | - |
| 0.6169 | 34250 | 0.0894 | - |
| 0.6178 | 34300 | 0.0297 | - |
| 0.6187 | 34350 | 0.0495 | - |
| 0.6196 | 34400 | 0.0394 | - |
| 0.6205 | 34450 | 0.0689 | - |
| 0.6214 | 34500 | 0.0224 | - |
| 0.6223 | 34550 | 0.0248 | - |
| 0.6232 | 34600 | 0.0587 | - |
| 0.6241 | 34650 | 0.0585 | - |
| 0.625 | 34700 | 0.0279 | - |
| 0.6259 | 34750 | 0.0267 | - |
| 0.6268 | 34800 | 0.0182 | - |
| 0.6277 | 34850 | 0.0422 | - |
| 0.6286 | 34900 | 0.0166 | - |
| 0.6295 | 34950 | 0.0246 | - |
| 0.6304 | 35000 | 0.0248 | - |
| 0.6313 | 35050 | 0.0902 | - |
| 0.6322 | 35100 | 0.0309 | - |
| 0.6331 | 35150 | 0.0705 | - |
| 0.6340 | 35200 | 0.0507 | - |
| 0.6349 | 35250 | 0.019 | - |
| 0.6358 | 35300 | 0.0947 | - |
| 0.6367 | 35350 | 0.0226 | - |
| 0.6376 | 35400 | 0.0534 | - |
| 0.6385 | 35450 | 0.0607 | - |
| 0.6394 | 35500 | 0.0208 | - |
| 0.6403 | 35550 | 0.0198 | - |
| 0.6412 | 35600 | 0.0298 | - |
| 0.6421 | 35650 | 0.0191 | - |
| 0.6430 | 35700 | 0.0589 | - |
| 0.6439 | 35750 | 0.0909 | - |
| 0.6448 | 35800 | 0.0829 | - |
| 0.6457 | 35850 | 0.055 | - |
| 0.6466 | 35900 | 0.0188 | - |
| 0.6475 | 35950 | 0.033 | - |
| 0.6484 | 36000 | 0.0617 | - |
| 0.6493 | 36050 | 0.0374 | - |
| 0.6502 | 36100 | 0.0481 | - |
| 0.6511 | 36150 | 0.034 | - |
| 0.6520 | 36200 | 0.1183 | - |
| 0.6529 | 36250 | 0.0265 | - |
| 0.6538 | 36300 | 0.0413 | - |
| 0.6547 | 36350 | 0.0232 | - |
| 0.6556 | 36400 | 0.0244 | - |
| 0.6565 | 36450 | 0.0452 | - |
| 0.6574 | 36500 | 0.072 | - |
| 0.6583 | 36550 | 0.0216 | - |
| 0.6592 | 36600 | 0.0383 | - |
| 0.6601 | 36650 | 0.0625 | - |
| 0.6610 | 36700 | 0.0875 | - |
| 0.6619 | 36750 | 0.1208 | - |
| 0.6628 | 36800 | 0.0431 | - |
| 0.6637 | 36850 | 0.025 | - |
| 0.6646 | 36900 | 0.056 | - |
| 0.6655 | 36950 | 0.0399 | - |
| 0.6664 | 37000 | 0.0521 | - |
| 0.6673 | 37050 | 0.0415 | - |
| 0.6682 | 37100 | 0.1265 | - |
| 0.6691 | 37150 | 0.022 | - |
| 0.6700 | 37200 | 0.0395 | - |
| 0.6709 | 37250 | 0.0759 | - |
| 0.6718 | 37300 | 0.0428 | - |
| 0.6727 | 37350 | 0.0304 | - |
| 0.6736 | 37400 | 0.0203 | - |
| 0.6745 | 37450 | 0.0484 | - |
| 0.6754 | 37500 | 0.0384 | - |
| 0.6763 | 37550 | 0.0548 | - |
| 0.6772 | 37600 | 0.0346 | - |
| 0.6781 | 37650 | 0.0284 | - |
| 0.6790 | 37700 | 0.0247 | - |
| 0.6799 | 37750 | 0.0497 | - |
| 0.6808 | 37800 | 0.0796 | - |
| 0.6817 | 37850 | 0.0603 | - |
| 0.6826 | 37900 | 0.0381 | - |
| 0.6835 | 37950 | 0.0292 | - |
| 0.6844 | 38000 | 0.0295 | - |
| 0.6853 | 38050 | 0.0312 | - |
| 0.6862 | 38100 | 0.056 | - |
| 0.6871 | 38150 | 0.0198 | - |
| 0.6880 | 38200 | 0.0648 | - |
| 0.6889 | 38250 | 0.0529 | - |
| 0.6898 | 38300 | 0.018 | - |
| 0.6907 | 38350 | 0.0837 | - |
| 0.6916 | 38400 | 0.0366 | - |
| 0.6925 | 38450 | 0.0216 | - |
| 0.6934 | 38500 | 0.0436 | - |
| 0.6943 | 38550 | 0.0211 | - |
| 0.6952 | 38600 | 0.0532 | - |
| 0.6961 | 38650 | 0.0468 | - |
| 0.6970 | 38700 | 0.1161 | - |
| 0.6979 | 38750 | 0.073 | - |
| 0.6988 | 38800 | 0.0201 | - |
| 0.6997 | 38850 | 0.1307 | - |
| 0.7006 | 38900 | 0.0281 | - |
| 0.7015 | 38950 | 0.0891 | - |
| 0.7024 | 39000 | 0.0204 | - |
| 0.7034 | 39050 | 0.0363 | - |
| 0.7043 | 39100 | 0.0551 | - |
| 0.7052 | 39150 | 0.0213 | - |
| 0.7061 | 39200 | 0.139 | - |
| 0.7070 | 39250 | 0.013 | - |
| 0.7079 | 39300 | 0.024 | - |
| 0.7088 | 39350 | 0.071 | - |
| 0.7097 | 39400 | 0.026 | - |
| 0.7106 | 39450 | 0.0294 | - |
| 0.7115 | 39500 | 0.0245 | - |
| 0.7124 | 39550 | 0.011 | - |
| 0.7133 | 39600 | 0.0099 | - |
| 0.7142 | 39650 | 0.0829 | - |
| 0.7151 | 39700 | 0.0637 | - |
| 0.7160 | 39750 | 0.0109 | - |
| 0.7169 | 39800 | 0.0113 | - |
| 0.7178 | 39850 | 0.0297 | - |
| 0.7187 | 39900 | 0.0291 | - |
| 0.7196 | 39950 | 0.0526 | - |
| 0.7205 | 40000 | 0.0339 | - |
| 0.7214 | 40050 | 0.09 | - |
| 0.7223 | 40100 | 0.0565 | - |
| 0.7232 | 40150 | 0.0435 | - |
| 0.7241 | 40200 | 0.0218 | - |
| 0.7250 | 40250 | 0.032 | - |
| 0.7259 | 40300 | 0.1011 | - |
| 0.7268 | 40350 | 0.0334 | - |
| 0.7277 | 40400 | 0.0363 | - |
| 0.7286 | 40450 | 0.065 | - |
| 0.7295 | 40500 | 0.0408 | - |
| 0.7304 | 40550 | 0.0229 | - |
| 0.7313 | 40600 | 0.07 | - |
| 0.7322 | 40650 | 0.0315 | - |
| 0.7331 | 40700 | 0.0406 | - |
| 0.7340 | 40750 | 0.0151 | - |
| 0.7349 | 40800 | 0.0399 | - |
| 0.7358 | 40850 | 0.0399 | - |
| 0.7367 | 40900 | 0.0201 | - |
| 0.7376 | 40950 | 0.0402 | - |
| 0.7385 | 41000 | 0.0957 | - |
| 0.7394 | 41050 | 0.0271 | - |
| 0.7403 | 41100 | 0.0341 | - |
| 0.7412 | 41150 | 0.0572 | - |
| 0.7421 | 41200 | 0.0389 | - |
| 0.7430 | 41250 | 0.0319 | - |
| 0.7439 | 41300 | 0.0262 | - |
| 0.7448 | 41350 | 0.0809 | - |
| 0.7457 | 41400 | 0.0208 | - |
| 0.7466 | 41450 | 0.0423 | - |
| 0.7475 | 41500 | 0.0673 | - |
| 0.7484 | 41550 | 0.025 | - |
| 0.7493 | 41600 | 0.0764 | - |
| 0.7502 | 41650 | 0.0293 | - |
| 0.7511 | 41700 | 0.0545 | - |
| 0.7520 | 41750 | 0.0219 | - |
| 0.7529 | 41800 | 0.0119 | - |
| 0.7538 | 41850 | 0.08 | - |
| 0.7547 | 41900 | 0.0286 | - |
| 0.7556 | 41950 | 0.0307 | - |
| 0.7565 | 42000 | 0.0433 | - |
| 0.7574 | 42050 | 0.0518 | - |
| 0.7583 | 42100 | 0.0372 | - |
| 0.7592 | 42150 | 0.0542 | - |
| 0.7601 | 42200 | 0.0254 | - |
| 0.7610 | 42250 | 0.0604 | - |
| 0.7619 | 42300 | 0.029 | - |
| 0.7628 | 42350 | 0.0263 | - |
| 0.7637 | 42400 | 0.0317 | - |
| 0.7646 | 42450 | 0.0903 | - |
| 0.7655 | 42500 | 0.0277 | - |
| 0.7664 | 42550 | 0.0662 | - |
| 0.7673 | 42600 | 0.0205 | - |
| 0.7682 | 42650 | 0.0191 | - |
| 0.7691 | 42700 | 0.0866 | - |
| 0.7700 | 42750 | 0.0482 | - |
| 0.7709 | 42800 | 0.0391 | - |
| 0.7718 | 42850 | 0.0584 | - |
| 0.7727 | 42900 | 0.035 | - |
| 0.7736 | 42950 | 0.0393 | - |
| 0.7745 | 43000 | 0.0168 | - |
| 0.7754 | 43050 | 0.0522 | - |
| 0.7763 | 43100 | 0.0178 | - |
| 0.7772 | 43150 | 0.0961 | - |
| 0.7781 | 43200 | 0.0343 | - |
| 0.7790 | 43250 | 0.0251 | - |
| 0.7799 | 43300 | 0.019 | - |
| 0.7808 | 43350 | 0.0511 | - |
| 0.7817 | 43400 | 0.0326 | - |
| 0.7826 | 43450 | 0.0327 | - |
| 0.7835 | 43500 | 0.0951 | - |
| 0.7844 | 43550 | 0.0726 | - |
| 0.7853 | 43600 | 0.0562 | - |
| 0.7862 | 43650 | 0.0473 | - |
| 0.7871 | 43700 | 0.0116 | - |
| 0.7880 | 43750 | 0.0501 | - |
| 0.7889 | 43800 | 0.0672 | - |
| 0.7898 | 43850 | 0.0669 | - |
| 0.7907 | 43900 | 0.0623 | - |
| 0.7916 | 43950 | 0.0303 | - |
| 0.7925 | 44000 | 0.0651 | - |
| 0.7934 | 44050 | 0.0419 | - |
| 0.7943 | 44100 | 0.0671 | - |
| 0.7952 | 44150 | 0.1371 | - |
| 0.7961 | 44200 | 0.0345 | - |
| 0.7970 | 44250 | 0.0543 | - |
| 0.7979 | 44300 | 0.0438 | - |
| 0.7988 | 44350 | 0.0365 | - |
| 0.7997 | 44400 | 0.0504 | - |
| 0.8006 | 44450 | 0.0388 | - |
| 0.8015 | 44500 | 0.0135 | - |
| 0.8024 | 44550 | 0.0912 | - |
| 0.8033 | 44600 | 0.0565 | - |
| 0.8042 | 44650 | 0.0357 | - |
| 0.8051 | 44700 | 0.0879 | - |
| 0.8060 | 44750 | 0.0191 | - |
| 0.8069 | 44800 | 0.0293 | - |
| 0.8078 | 44850 | 0.0655 | - |
| 0.8087 | 44900 | 0.0092 | - |
| 0.8096 | 44950 | 0.0548 | - |
| 0.8105 | 45000 | 0.0355 | - |
| 0.8114 | 45050 | 0.0195 | - |
| 0.8123 | 45100 | 0.0484 | - |
| 0.8132 | 45150 | 0.0788 | - |
| 0.8141 | 45200 | 0.0342 | - |
| 0.8150 | 45250 | 0.0424 | - |
| 0.8159 | 45300 | 0.0346 | - |
| 0.8168 | 45350 | 0.0562 | - |
| 0.8177 | 45400 | 0.033 | - |
| 0.8186 | 45450 | 0.0591 | - |
| 0.8195 | 45500 | 0.0369 | - |
| 0.8204 | 45550 | 0.0693 | - |
| 0.8213 | 45600 | 0.052 | - |
| 0.8222 | 45650 | 0.0387 | - |
| 0.8231 | 45700 | 0.0391 | - |
| 0.8240 | 45750 | 0.0498 | - |
| 0.8249 | 45800 | 0.0262 | - |
| 0.8258 | 45850 | 0.0079 | - |
| 0.8267 | 45900 | 0.0333 | - |
| 0.8276 | 45950 | 0.0521 | - |
| 0.8285 | 46000 | 0.0607 | - |
| 0.8294 | 46050 | 0.0246 | - |
| 0.8303 | 46100 | 0.0308 | - |
| 0.8312 | 46150 | 0.0422 | - |
| 0.8321 | 46200 | 0.0277 | - |
| 0.8330 | 46250 | 0.0268 | - |
| 0.8339 | 46300 | 0.0896 | - |
| 0.8348 | 46350 | 0.0268 | - |
| 0.8357 | 46400 | 0.0271 | - |
| 0.8366 | 46450 | 0.0291 | - |
| 0.8375 | 46500 | 0.0663 | - |
| 0.8384 | 46550 | 0.0388 | - |
| 0.8393 | 46600 | 0.0205 | - |
| 0.8402 | 46650 | 0.0269 | - |
| 0.8411 | 46700 | 0.0197 | - |
| 0.8420 | 46750 | 0.0493 | - |
| 0.8429 | 46800 | 0.0345 | - |
| 0.8438 | 46850 | 0.0901 | - |
| 0.8447 | 46900 | 0.0237 | - |
| 0.8456 | 46950 | 0.056 | - |
| 0.8465 | 47000 | 0.0556 | - |
| 0.8474 | 47050 | 0.0489 | - |
| 0.8483 | 47100 | 0.0136 | - |
| 0.8492 | 47150 | 0.0974 | - |
| 0.8501 | 47200 | 0.0354 | - |
| 0.8510 | 47250 | 0.0453 | - |
| 0.8519 | 47300 | 0.0891 | - |
| 0.8528 | 47350 | 0.0185 | - |
| 0.8537 | 47400 | 0.0479 | - |
| 0.8546 | 47450 | 0.0286 | - |
| 0.8555 | 47500 | 0.0528 | - |
| 0.8564 | 47550 | 0.0334 | - |
| 0.8573 | 47600 | 0.0105 | - |
| 0.8582 | 47650 | 0.0613 | - |
| 0.8591 | 47700 | 0.0345 | - |
| 0.8601 | 47750 | 0.0449 | - |
| 0.8610 | 47800 | 0.0179 | - |
| 0.8619 | 47850 | 0.0156 | - |
| 0.8628 | 47900 | 0.084 | - |
| 0.8637 | 47950 | 0.0233 | - |
| 0.8646 | 48000 | 0.0281 | - |
| 0.8655 | 48050 | 0.0667 | - |
| 0.8664 | 48100 | 0.0132 | - |
| 0.8673 | 48150 | 0.0301 | - |
| 0.8682 | 48200 | 0.081 | - |
| 0.8691 | 48250 | 0.017 | - |
| 0.8700 | 48300 | 0.0418 | - |
| 0.8709 | 48350 | 0.013 | - |
| 0.8718 | 48400 | 0.0473 | - |
| 0.8727 | 48450 | 0.0731 | - |
| 0.8736 | 48500 | 0.0182 | - |
| 0.8745 | 48550 | 0.0225 | - |
| 0.8754 | 48600 | 0.0722 | - |
| 0.8763 | 48650 | 0.0131 | - |
| 0.8772 | 48700 | 0.0436 | - |
| 0.8781 | 48750 | 0.0292 | - |
| 0.8790 | 48800 | 0.0418 | - |
| 0.8799 | 48850 | 0.0906 | - |
| 0.8808 | 48900 | 0.0498 | - |
| 0.8817 | 48950 | 0.013 | - |
| 0.8826 | 49000 | 0.0422 | - |
| 0.8835 | 49050 | 0.0359 | - |
| 0.8844 | 49100 | 0.0317 | - |
| 0.8853 | 49150 | 0.0461 | - |
| 0.8862 | 49200 | 0.0407 | - |
| 0.8871 | 49250 | 0.0392 | - |
| 0.8880 | 49300 | 0.0622 | - |
| 0.8889 | 49350 | 0.017 | - |
| 0.8898 | 49400 | 0.0471 | - |
| 0.8907 | 49450 | 0.0465 | - |
| 0.8916 | 49500 | 0.0242 | - |
| 0.8925 | 49550 | 0.0532 | - |
| 0.8934 | 49600 | 0.0481 | - |
| 0.8943 | 49650 | 0.0628 | - |
| 0.8952 | 49700 | 0.0281 | - |
| 0.8961 | 49750 | 0.0136 | - |
| 0.8970 | 49800 | 0.0656 | - |
| 0.8979 | 49850 | 0.0182 | - |
| 0.8988 | 49900 | 0.0519 | - |
| 0.8997 | 49950 | 0.0207 | - |
| 0.9006 | 50000 | 0.0377 | - |
| 0.9015 | 50050 | 0.0552 | - |
| 0.9024 | 50100 | 0.0195 | - |
| 0.9033 | 50150 | 0.03 | - |
| 0.9042 | 50200 | 0.0568 | - |
| 0.9051 | 50250 | 0.0388 | - |
| 0.9060 | 50300 | 0.0445 | - |
| 0.9069 | 50350 | 0.0461 | - |
| 0.9078 | 50400 | 0.0299 | - |
| 0.9087 | 50450 | 0.0173 | - |
| 0.9096 | 50500 | 0.0908 | - |
| 0.9105 | 50550 | 0.0524 | - |
| 0.9114 | 50600 | 0.0241 | - |
| 0.9123 | 50650 | 0.051 | - |
| 0.9132 | 50700 | 0.0114 | - |
| 0.9141 | 50750 | 0.0379 | - |
| 0.9150 | 50800 | 0.0909 | - |
| 0.9159 | 50850 | 0.1076 | - |
| 0.9168 | 50900 | 0.0346 | - |
| 0.9177 | 50950 | 0.0319 | - |
| 0.9186 | 51000 | 0.0186 | - |
| 0.9195 | 51050 | 0.0397 | - |
| 0.9204 | 51100 | 0.046 | - |
| 0.9213 | 51150 | 0.0412 | - |
| 0.9222 | 51200 | 0.0147 | - |
| 0.9231 | 51250 | 0.0262 | - |
| 0.9240 | 51300 | 0.0552 | - |
| 0.9249 | 51350 | 0.0545 | - |
| 0.9258 | 51400 | 0.0402 | - |
| 0.9267 | 51450 | 0.0603 | - |
| 0.9276 | 51500 | 0.0343 | - |
| 0.9285 | 51550 | 0.0267 | - |
| 0.9294 | 51600 | 0.0439 | - |
| 0.9303 | 51650 | 0.0317 | - |
| 0.9312 | 51700 | 0.0108 | - |
| 0.9321 | 51750 | 0.0439 | - |
| 0.9330 | 51800 | 0.0365 | - |
| 0.9339 | 51850 | 0.0305 | - |
| 0.9348 | 51900 | 0.0228 | - |
| 0.9357 | 51950 | 0.0204 | - |
| 0.9366 | 52000 | 0.0433 | - |
| 0.9375 | 52050 | 0.018 | - |
| 0.9384 | 52100 | 0.1014 | - |
| 0.9393 | 52150 | 0.0442 | - |
| 0.9402 | 52200 | 0.014 | - |
| 0.9411 | 52250 | 0.0527 | - |
| 0.9420 | 52300 | 0.0263 | - |
| 0.9429 | 52350 | 0.0219 | - |
| 0.9438 | 52400 | 0.0251 | - |
| 0.9447 | 52450 | 0.0446 | - |
| 0.9456 | 52500 | 0.0231 | - |
| 0.9465 | 52550 | 0.0406 | - |
| 0.9474 | 52600 | 0.0201 | - |
| 0.9483 | 52650 | 0.0399 | - |
| 0.9492 | 52700 | 0.0633 | - |
| 0.9501 | 52750 | 0.0375 | - |
| 0.9510 | 52800 | 0.0862 | - |
| 0.9519 | 52850 | 0.0443 | - |
| 0.9528 | 52900 | 0.0219 | - |
| 0.9537 | 52950 | 0.0335 | - |
| 0.9546 | 53000 | 0.05 | - |
| 0.9555 | 53050 | 0.0529 | - |
| 0.9564 | 53100 | 0.0495 | - |
| 0.9573 | 53150 | 0.0219 | - |
| 0.9582 | 53200 | 0.0519 | - |
| 0.9591 | 53250 | 0.0272 | - |
| 0.9600 | 53300 | 0.0189 | - |
| 0.9609 | 53350 | 0.0257 | - |
| 0.9618 | 53400 | 0.0401 | - |
| 0.9627 | 53450 | 0.0426 | - |
| 0.9636 | 53500 | 0.0168 | - |
| 0.9645 | 53550 | 0.0358 | - |
| 0.9654 | 53600 | 0.0279 | - |
| 0.9663 | 53650 | 0.0133 | - |
| 0.9672 | 53700 | 0.0257 | - |
| 0.9681 | 53750 | 0.0344 | - |
| 0.9690 | 53800 | 0.0718 | - |
| 0.9699 | 53850 | 0.045 | - |
| 0.9708 | 53900 | 0.0287 | - |
| 0.9717 | 53950 | 0.0448 | - |
| 0.9726 | 54000 | 0.0458 | - |
| 0.9735 | 54050 | 0.033 | - |
| 0.9744 | 54100 | 0.0164 | - |
| 0.9753 | 54150 | 0.0228 | - |
| 0.9762 | 54200 | 0.0616 | - |
| 0.9771 | 54250 | 0.0172 | - |
| 0.9780 | 54300 | 0.0538 | - |
| 0.9789 | 54350 | 0.0318 | - |
| 0.9798 | 54400 | 0.0323 | - |
| 0.9807 | 54450 | 0.0428 | - |
| 0.9816 | 54500 | 0.043 | - |
| 0.9825 | 54550 | 0.0144 | - |
| 0.9834 | 54600 | 0.0896 | - |
| 0.9843 | 54650 | 0.0501 | - |
| 0.9852 | 54700 | 0.034 | - |
| 0.9861 | 54750 | 0.0546 | - |
| 0.9870 | 54800 | 0.0212 | - |
| 0.9879 | 54850 | 0.0385 | - |
| 0.9888 | 54900 | 0.048 | - |
| 0.9897 | 54950 | 0.0317 | - |
| 0.9906 | 55000 | 0.0373 | - |
| 0.9915 | 55050 | 0.0357 | - |
| 0.9924 | 55100 | 0.0406 | - |
| 0.9933 | 55150 | 0.0255 | - |
| 0.9942 | 55200 | 0.0297 | - |
| 0.9951 | 55250 | 0.0155 | - |
| 0.9960 | 55300 | 0.0329 | - |
| 0.9969 | 55350 | 0.0186 | - |
| 0.9978 | 55400 | 0.0257 | - |
| 0.9987 | 55450 | 0.033 | - |
| 0.9996 | 55500 | 0.0505 | - |
### Framework Versions
- Python: 3.11.7
- SetFit: 1.0.3
- Sentence Transformers: 2.3.0
- Transformers: 4.37.2
- PyTorch: 2.1.2+cu118
- Datasets: 2.16.1
- Tokenizers: 0.15.1
## 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}
}
```
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