SetFit with sentence-transformers/paraphrase-mpnet-base-v2
This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/paraphrase-mpnet-base-v2 as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.
The model has been trained using an efficient few-shot learning technique that involves:
- Fine-tuning a Sentence Transformer with contrastive learning.
- Training a classification head with features from the fine-tuned Sentence Transformer.
Model Details
Model Description
Model Sources
Model Labels
Label |
Examples |
True |
- 'Pug (1×1)'
- 'Pug (1×1)'
- '/ 0:31'
|
False |
- 'Forum FAQ'
- 'Hearthstone'
- 'NVIDIA GeForce GTX 670MX (Mobile) 3072 MB'
|
Evaluation
Metrics
Label |
Accuracy |
all |
0.9035 |
Uses
Direct Use for Inference
First install the SetFit library:
pip install setfit
Then you can load this model and run inference.
from setfit import SetFitModel
model = SetFitModel.from_pretrained("setfit_model_id")
preds = model("Sign in")
Training Details
Training Set Metrics
Training set |
Min |
Median |
Max |
Word count |
1 |
5.4853 |
301 |
Label |
Training Sample Count |
False |
6755 |
True |
6757 |
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 |
0.3555 |
- |
0.0015 |
50 |
0.3874 |
- |
0.0030 |
100 |
0.3422 |
- |
0.0044 |
150 |
0.3148 |
- |
0.0059 |
200 |
0.2496 |
- |
0.0074 |
250 |
0.2681 |
- |
0.0089 |
300 |
0.2412 |
- |
0.0104 |
350 |
0.2927 |
- |
0.0118 |
400 |
0.2389 |
- |
0.0133 |
450 |
0.2559 |
- |
0.0148 |
500 |
0.204 |
- |
0.0163 |
550 |
0.158 |
- |
0.0178 |
600 |
0.1479 |
- |
0.0192 |
650 |
0.1958 |
- |
0.0207 |
700 |
0.2173 |
- |
0.0222 |
750 |
0.1231 |
- |
0.0237 |
800 |
0.1966 |
- |
0.0252 |
850 |
0.1599 |
- |
0.0266 |
900 |
0.1373 |
- |
0.0281 |
950 |
0.2491 |
- |
0.0296 |
1000 |
0.0951 |
- |
0.0311 |
1050 |
0.2253 |
- |
0.0326 |
1100 |
0.2046 |
- |
0.0340 |
1150 |
0.2174 |
- |
0.0355 |
1200 |
0.1401 |
- |
0.0370 |
1250 |
0.1549 |
- |
0.0385 |
1300 |
0.1872 |
- |
0.0400 |
1350 |
0.2262 |
- |
0.0414 |
1400 |
0.1277 |
- |
0.0429 |
1450 |
0.1653 |
- |
0.0444 |
1500 |
0.1355 |
- |
0.0459 |
1550 |
0.1235 |
- |
0.0474 |
1600 |
0.0947 |
- |
0.0488 |
1650 |
0.11 |
- |
0.0503 |
1700 |
0.1149 |
- |
0.0518 |
1750 |
0.1823 |
- |
0.0533 |
1800 |
0.2104 |
- |
0.0548 |
1850 |
0.0871 |
- |
0.0562 |
1900 |
0.1275 |
- |
0.0577 |
1950 |
0.0977 |
- |
0.0592 |
2000 |
0.2031 |
- |
0.0607 |
2050 |
0.1872 |
- |
0.0622 |
2100 |
0.0996 |
- |
0.0636 |
2150 |
0.1487 |
- |
0.0651 |
2200 |
0.1647 |
- |
0.0666 |
2250 |
0.0861 |
- |
0.0681 |
2300 |
0.0464 |
- |
0.0696 |
2350 |
0.1026 |
- |
0.0710 |
2400 |
0.2031 |
- |
0.0725 |
2450 |
0.1815 |
- |
0.0740 |
2500 |
0.0644 |
- |
0.0755 |
2550 |
0.1039 |
- |
0.0770 |
2600 |
0.0115 |
- |
0.0784 |
2650 |
0.0426 |
- |
0.0799 |
2700 |
0.0895 |
- |
0.0814 |
2750 |
0.1562 |
- |
0.0829 |
2800 |
0.0835 |
- |
0.0844 |
2850 |
0.1681 |
- |
0.0858 |
2900 |
0.1159 |
- |
0.0873 |
2950 |
0.0162 |
- |
0.0888 |
3000 |
0.0634 |
- |
0.0903 |
3050 |
0.1161 |
- |
0.0918 |
3100 |
0.1086 |
- |
0.0933 |
3150 |
0.0548 |
- |
0.0947 |
3200 |
0.1209 |
- |
0.0962 |
3250 |
0.0425 |
- |
0.0977 |
3300 |
0.0157 |
- |
0.0992 |
3350 |
0.1293 |
- |
0.1007 |
3400 |
0.1847 |
- |
0.1021 |
3450 |
0.1965 |
- |
0.1036 |
3500 |
0.1286 |
- |
0.1051 |
3550 |
0.104 |
- |
0.1066 |
3600 |
0.0899 |
- |
0.1081 |
3650 |
0.1513 |
- |
0.1095 |
3700 |
0.0443 |
- |
0.1110 |
3750 |
0.053 |
- |
0.1125 |
3800 |
0.0096 |
- |
0.1140 |
3850 |
0.0399 |
- |
0.1155 |
3900 |
0.068 |
- |
0.1169 |
3950 |
0.0537 |
- |
0.1184 |
4000 |
0.0235 |
- |
0.1199 |
4050 |
0.0625 |
- |
0.1214 |
4100 |
0.1303 |
- |
0.1229 |
4150 |
0.1208 |
- |
0.1243 |
4200 |
0.0041 |
- |
0.1258 |
4250 |
0.059 |
- |
0.1273 |
4300 |
0.0543 |
- |
0.1288 |
4350 |
0.1664 |
- |
0.1303 |
4400 |
0.0591 |
- |
0.1317 |
4450 |
0.0631 |
- |
0.1332 |
4500 |
0.2538 |
- |
0.1347 |
4550 |
0.0484 |
- |
0.1362 |
4600 |
0.003 |
- |
0.1377 |
4650 |
0.0849 |
- |
0.1391 |
4700 |
0.1109 |
- |
0.1406 |
4750 |
0.0403 |
- |
0.1421 |
4800 |
0.0481 |
- |
0.1436 |
4850 |
0.0172 |
- |
0.1451 |
4900 |
0.0049 |
- |
0.1465 |
4950 |
0.006 |
- |
0.1480 |
5000 |
0.0009 |
- |
0.1495 |
5050 |
0.0712 |
- |
0.1510 |
5100 |
0.1076 |
- |
0.1525 |
5150 |
0.1123 |
- |
0.1539 |
5200 |
0.0029 |
- |
0.1554 |
5250 |
0.0519 |
- |
0.1569 |
5300 |
0.0523 |
- |
0.1584 |
5350 |
0.097 |
- |
0.1599 |
5400 |
0.0471 |
- |
0.1613 |
5450 |
0.0371 |
- |
0.1628 |
5500 |
0.1127 |
- |
0.1643 |
5550 |
0.0535 |
- |
0.1658 |
5600 |
0.0067 |
- |
0.1673 |
5650 |
0.01 |
- |
0.1687 |
5700 |
0.0085 |
- |
0.1702 |
5750 |
0.0739 |
- |
0.1717 |
5800 |
0.0019 |
- |
0.1732 |
5850 |
0.0045 |
- |
0.1747 |
5900 |
0.1316 |
- |
0.1761 |
5950 |
0.0623 |
- |
0.1776 |
6000 |
0.088 |
- |
0.1791 |
6050 |
0.0498 |
- |
0.1806 |
6100 |
0.0028 |
- |
0.1821 |
6150 |
0.1206 |
- |
0.1835 |
6200 |
0.0041 |
- |
0.1850 |
6250 |
0.0849 |
- |
0.1865 |
6300 |
0.247 |
- |
0.1880 |
6350 |
0.0042 |
- |
0.1895 |
6400 |
0.0944 |
- |
0.1909 |
6450 |
0.1046 |
- |
0.1924 |
6500 |
0.0481 |
- |
0.1939 |
6550 |
0.0034 |
- |
0.1954 |
6600 |
0.0066 |
- |
0.1969 |
6650 |
0.0015 |
- |
0.1983 |
6700 |
0.0816 |
- |
0.1998 |
6750 |
0.0511 |
- |
0.2013 |
6800 |
0.0739 |
- |
0.2028 |
6850 |
0.0024 |
- |
0.2043 |
6900 |
0.0221 |
- |
0.2057 |
6950 |
0.0678 |
- |
0.2072 |
7000 |
0.0838 |
- |
0.2087 |
7050 |
0.0023 |
- |
0.2102 |
7100 |
0.0043 |
- |
0.2117 |
7150 |
0.0551 |
- |
0.2131 |
7200 |
0.0167 |
- |
0.2146 |
7250 |
0.0033 |
- |
0.2161 |
7300 |
0.008 |
- |
0.2176 |
7350 |
0.0259 |
- |
0.2191 |
7400 |
0.0078 |
- |
0.2205 |
7450 |
0.0113 |
- |
0.2220 |
7500 |
0.0153 |
- |
0.2235 |
7550 |
0.059 |
- |
0.2250 |
7600 |
0.0401 |
- |
0.2265 |
7650 |
0.0015 |
- |
0.2279 |
7700 |
0.0102 |
- |
0.2294 |
7750 |
0.0489 |
- |
0.2309 |
7800 |
0.1319 |
- |
0.2324 |
7850 |
0.0128 |
- |
0.2339 |
7900 |
0.0234 |
- |
0.2353 |
7950 |
0.0105 |
- |
0.2368 |
8000 |
0.0008 |
- |
0.2383 |
8050 |
0.1118 |
- |
0.2398 |
8100 |
0.0076 |
- |
0.2413 |
8150 |
0.1399 |
- |
0.2427 |
8200 |
0.0042 |
- |
0.2442 |
8250 |
0.0579 |
- |
0.2457 |
8300 |
0.0533 |
- |
0.2472 |
8350 |
0.0271 |
- |
0.2487 |
8400 |
0.0461 |
- |
0.2501 |
8450 |
0.0052 |
- |
0.2516 |
8500 |
0.0661 |
- |
0.2531 |
8550 |
0.0407 |
- |
0.2546 |
8600 |
0.0208 |
- |
0.2561 |
8650 |
0.0527 |
- |
0.2575 |
8700 |
0.0065 |
- |
0.2590 |
8750 |
0.0051 |
- |
0.2605 |
8800 |
0.0179 |
- |
0.2620 |
8850 |
0.0332 |
- |
0.2635 |
8900 |
0.0625 |
- |
0.2649 |
8950 |
0.1035 |
- |
0.2664 |
9000 |
0.129 |
- |
0.2679 |
9050 |
0.0988 |
- |
0.2694 |
9100 |
0.0035 |
- |
0.2709 |
9150 |
0.0045 |
- |
0.2724 |
9200 |
0.0277 |
- |
0.2738 |
9250 |
0.0291 |
- |
0.2753 |
9300 |
0.0307 |
- |
0.2768 |
9350 |
0.0844 |
- |
0.2783 |
9400 |
0.0036 |
- |
0.2798 |
9450 |
0.0807 |
- |
0.2812 |
9500 |
0.0619 |
- |
0.2827 |
9550 |
0.0675 |
- |
0.2842 |
9600 |
0.0008 |
- |
0.2857 |
9650 |
0.0134 |
- |
0.2872 |
9700 |
0.0027 |
- |
0.2886 |
9750 |
0.0009 |
- |
0.2901 |
9800 |
0.0119 |
- |
0.2916 |
9850 |
0.0165 |
- |
0.2931 |
9900 |
0.0242 |
- |
0.2946 |
9950 |
0.1022 |
- |
0.2960 |
10000 |
0.0288 |
- |
0.2975 |
10050 |
0.0016 |
- |
0.2990 |
10100 |
0.0027 |
- |
0.3005 |
10150 |
0.0237 |
- |
0.3020 |
10200 |
0.0014 |
- |
0.3034 |
10250 |
0.0129 |
- |
0.3049 |
10300 |
0.0023 |
- |
0.3064 |
10350 |
0.0038 |
- |
0.3079 |
10400 |
0.0005 |
- |
0.3094 |
10450 |
0.0448 |
- |
0.3108 |
10500 |
0.0334 |
- |
0.3123 |
10550 |
0.1215 |
- |
0.3138 |
10600 |
0.0021 |
- |
0.3153 |
10650 |
0.0433 |
- |
0.3168 |
10700 |
0.0106 |
- |
0.3182 |
10750 |
0.0574 |
- |
0.3197 |
10800 |
0.0421 |
- |
0.3212 |
10850 |
0.0676 |
- |
0.3227 |
10900 |
0.0358 |
- |
0.3242 |
10950 |
0.1207 |
- |
0.3256 |
11000 |
0.0154 |
- |
0.3271 |
11050 |
0.0078 |
- |
0.3286 |
11100 |
0.0475 |
- |
0.3301 |
11150 |
0.0697 |
- |
0.3316 |
11200 |
0.0016 |
- |
0.3330 |
11250 |
0.012 |
- |
0.3345 |
11300 |
0.0252 |
- |
0.3360 |
11350 |
0.003 |
- |
0.3375 |
11400 |
0.0323 |
- |
0.3390 |
11450 |
0.0782 |
- |
0.3404 |
11500 |
0.0661 |
- |
0.3419 |
11550 |
0.0473 |
- |
0.3434 |
11600 |
0.1388 |
- |
0.3449 |
11650 |
0.0092 |
- |
0.3464 |
11700 |
0.0055 |
- |
0.3478 |
11750 |
0.0636 |
- |
0.3493 |
11800 |
0.0301 |
- |
0.3508 |
11850 |
0.02 |
- |
0.3523 |
11900 |
0.091 |
- |
0.3538 |
11950 |
0.0645 |
- |
0.3552 |
12000 |
0.0131 |
- |
0.3567 |
12050 |
0.0302 |
- |
0.3582 |
12100 |
0.0434 |
- |
0.3597 |
12150 |
0.0007 |
- |
0.3612 |
12200 |
0.0195 |
- |
0.3626 |
12250 |
0.0779 |
- |
0.3641 |
12300 |
0.0794 |
- |
0.3656 |
12350 |
0.0586 |
- |
0.3671 |
12400 |
0.0966 |
- |
0.3686 |
12450 |
0.0289 |
- |
0.3700 |
12500 |
0.0014 |
- |
0.3715 |
12550 |
0.0008 |
- |
0.3730 |
12600 |
0.0174 |
- |
0.3745 |
12650 |
0.0151 |
- |
0.3760 |
12700 |
0.0223 |
- |
0.3774 |
12750 |
0.0034 |
- |
0.3789 |
12800 |
0.0621 |
- |
0.3804 |
12850 |
0.0585 |
- |
0.3819 |
12900 |
0.1385 |
- |
0.3834 |
12950 |
0.1086 |
- |
0.3848 |
13000 |
0.0005 |
- |
0.3863 |
13050 |
0.0178 |
- |
0.3878 |
13100 |
0.1447 |
- |
0.3893 |
13150 |
0.1267 |
- |
0.3908 |
13200 |
0.0823 |
- |
0.3922 |
13250 |
0.0223 |
- |
0.3937 |
13300 |
0.0029 |
- |
0.3952 |
13350 |
0.0273 |
- |
0.3967 |
13400 |
0.0807 |
- |
0.3982 |
13450 |
0.0042 |
- |
0.3996 |
13500 |
0.0023 |
- |
0.4011 |
13550 |
0.0528 |
- |
0.4026 |
13600 |
0.0013 |
- |
0.4041 |
13650 |
0.0413 |
- |
0.4056 |
13700 |
0.1404 |
- |
0.4070 |
13750 |
0.1508 |
- |
0.4085 |
13800 |
0.0214 |
- |
0.4100 |
13850 |
0.0737 |
- |
0.4115 |
13900 |
0.0962 |
- |
0.4130 |
13950 |
0.0536 |
- |
0.4144 |
14000 |
0.0075 |
- |
0.4159 |
14050 |
0.0401 |
- |
0.4174 |
14100 |
0.0268 |
- |
0.4189 |
14150 |
0.0104 |
- |
0.4204 |
14200 |
0.0066 |
- |
0.4218 |
14250 |
0.006 |
- |
0.4233 |
14300 |
0.0053 |
- |
0.4248 |
14350 |
0.0367 |
- |
0.4263 |
14400 |
0.0041 |
- |
0.4278 |
14450 |
0.0245 |
- |
0.4292 |
14500 |
0.0351 |
- |
0.4307 |
14550 |
0.0794 |
- |
0.4322 |
14600 |
0.0771 |
- |
0.4337 |
14650 |
0.0172 |
- |
0.4352 |
14700 |
0.0137 |
- |
0.4366 |
14750 |
0.044 |
- |
0.4381 |
14800 |
0.0042 |
- |
0.4396 |
14850 |
0.0554 |
- |
0.4411 |
14900 |
0.0794 |
- |
0.4426 |
14950 |
0.0404 |
- |
0.4440 |
15000 |
0.0461 |
- |
0.4455 |
15050 |
0.0176 |
- |
0.4470 |
15100 |
0.0973 |
- |
0.4485 |
15150 |
0.0034 |
- |
0.4500 |
15200 |
0.0056 |
- |
0.4515 |
15250 |
0.039 |
- |
0.4529 |
15300 |
0.0136 |
- |
0.4544 |
15350 |
0.0292 |
- |
0.4559 |
15400 |
0.0023 |
- |
0.4574 |
15450 |
0.0709 |
- |
0.4589 |
15500 |
0.1226 |
- |
0.4603 |
15550 |
0.0847 |
- |
0.4618 |
15600 |
0.1088 |
- |
0.4633 |
15650 |
0.0605 |
- |
0.4648 |
15700 |
0.0151 |
- |
0.4663 |
15750 |
0.0475 |
- |
0.4677 |
15800 |
0.0173 |
- |
0.4692 |
15850 |
0.0085 |
- |
0.4707 |
15900 |
0.0491 |
- |
0.4722 |
15950 |
0.0349 |
- |
0.4737 |
16000 |
0.0571 |
- |
0.4751 |
16050 |
0.0867 |
- |
0.4766 |
16100 |
0.0138 |
- |
0.4781 |
16150 |
0.015 |
- |
0.4796 |
16200 |
0.0556 |
- |
0.4811 |
16250 |
0.0149 |
- |
0.4825 |
16300 |
0.0598 |
- |
0.4840 |
16350 |
0.0032 |
- |
0.4855 |
16400 |
0.0006 |
- |
0.4870 |
16450 |
0.0479 |
- |
0.4885 |
16500 |
0.0491 |
- |
0.4899 |
16550 |
0.1069 |
- |
0.4914 |
16600 |
0.0164 |
- |
0.4929 |
16650 |
0.013 |
- |
0.4944 |
16700 |
0.0123 |
- |
0.4959 |
16750 |
0.0151 |
- |
0.4973 |
16800 |
0.0014 |
- |
0.4988 |
16850 |
0.0028 |
- |
0.5003 |
16900 |
0.0108 |
- |
0.5018 |
16950 |
0.0023 |
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0.5033 |
17000 |
0.0495 |
- |
0.5047 |
17050 |
0.0171 |
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0.5062 |
17100 |
0.0014 |
- |
0.5077 |
17150 |
0.1108 |
- |
0.5092 |
17200 |
0.0309 |
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0.5107 |
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0.0085 |
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0.5121 |
17300 |
0.1128 |
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0.5136 |
17350 |
0.0548 |
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0.5151 |
17400 |
0.034 |
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0.5166 |
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0.0788 |
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0.5181 |
17500 |
0.072 |
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0.5195 |
17550 |
0.0498 |
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0.5210 |
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0.0109 |
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0.5225 |
17650 |
0.0738 |
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0.5240 |
17700 |
0.021 |
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0.5255 |
17750 |
0.0364 |
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0.5269 |
17800 |
0.0611 |
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0.5284 |
17850 |
0.0138 |
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17900 |
0.0109 |
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0.5314 |
17950 |
0.0572 |
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0.5329 |
18000 |
0.0095 |
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0.5343 |
18050 |
0.0501 |
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18100 |
0.0546 |
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18150 |
0.0446 |
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0.5388 |
18200 |
0.0645 |
- |
0.5403 |
18250 |
0.0107 |
- |
0.5417 |
18300 |
0.0069 |
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0.5432 |
18350 |
0.0235 |
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0.5447 |
18400 |
0.0014 |
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0.5462 |
18450 |
0.0337 |
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0.5477 |
18500 |
0.0142 |
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0.5491 |
18550 |
0.0142 |
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0.5506 |
18600 |
0.0503 |
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0.5521 |
18650 |
0.0015 |
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0.5536 |
18700 |
0.0242 |
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0.5551 |
18750 |
0.0007 |
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0.5565 |
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0.0529 |
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0.5580 |
18850 |
0.0313 |
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0.5595 |
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0.0886 |
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0.5610 |
18950 |
0.0335 |
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0.5625 |
19000 |
0.0311 |
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0.5639 |
19050 |
0.0105 |
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0.5654 |
19100 |
0.0116 |
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0.5669 |
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0.0559 |
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0.5684 |
19200 |
0.0945 |
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0.5699 |
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0.0826 |
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0.5713 |
19300 |
0.0266 |
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0.5728 |
19350 |
0.0769 |
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0.5743 |
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0.0912 |
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0.5758 |
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0.0641 |
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0.5773 |
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0.0541 |
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19550 |
0.0769 |
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0.5802 |
19600 |
0.0411 |
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0.5817 |
19650 |
0.115 |
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0.5832 |
19700 |
0.0819 |
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0.5847 |
19750 |
0.071 |
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0.5861 |
19800 |
0.0066 |
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0.5876 |
19850 |
0.0659 |
- |
0.5891 |
19900 |
0.07 |
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0.5906 |
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0.0607 |
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0.5921 |
20000 |
0.0474 |
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20050 |
0.016 |
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20100 |
0.0122 |
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0.5965 |
20150 |
0.0333 |
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0.5980 |
20200 |
0.0155 |
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0.5995 |
20250 |
0.0005 |
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0.6009 |
20300 |
0.015 |
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20350 |
0.0014 |
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0.6039 |
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0.0459 |
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0.6054 |
20450 |
0.0808 |
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0.6069 |
20500 |
0.1034 |
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0.6083 |
20550 |
0.0846 |
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0.071 |
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0.6113 |
20650 |
0.0486 |
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0.022 |
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20750 |
0.0016 |
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20800 |
0.0666 |
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0.0461 |
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20900 |
0.022 |
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20950 |
0.0449 |
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21000 |
0.0844 |
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21050 |
0.0888 |
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21100 |
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0.0005 |
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0.025 |
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0.1285 |
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21300 |
0.0224 |
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21350 |
0.0444 |
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0.0133 |
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21450 |
0.0317 |
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21500 |
0.0457 |
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0.6380 |
21550 |
0.0997 |
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21600 |
0.0689 |
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21650 |
0.0275 |
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21700 |
0.014 |
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21750 |
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21800 |
0.072 |
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21850 |
0.0556 |
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21900 |
0.0902 |
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0.104 |
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23000 |
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0.036 |
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0.117 |
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0.0594 |
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0.0992 |
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0.0379 |
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0.0231 |
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0.0888 |
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0.8067 |
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0.0197 |
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0.0003 |
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0.0157 |
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0.0192 |
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0.0007 |
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0.021 |
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0.0548 |
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0.0442 |
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0.0181 |
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0.016 |
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0.0221 |
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0.8333 |
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0.0014 |
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0.0195 |
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0.0735 |
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0.002 |
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0.0269 |
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0.0365 |
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0.0825 |
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0.0042 |
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0.0532 |
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0.0195 |
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0.018 |
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0.8541 |
28850 |
0.005 |
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0.0694 |
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0.8570 |
28950 |
0.0006 |
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0.8585 |
29000 |
0.0169 |
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0.8600 |
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0.0188 |
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0.8615 |
29100 |
0.0002 |
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0.8629 |
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0.0246 |
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0.8644 |
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0.001 |
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0.8659 |
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0.0017 |
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0.8674 |
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0.0169 |
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0.8689 |
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0.0621 |
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0.8703 |
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0.0017 |
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0.0008 |
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0.0086 |
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0.0214 |
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0.0495 |
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0.0864 |
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0.0844 |
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0.0738 |
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0.8822 |
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0.0007 |
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0.8837 |
29850 |
0.0408 |
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0.0025 |
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0.0313 |
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30000 |
0.0178 |
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0.8896 |
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0.0123 |
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0.8911 |
30100 |
0.0001 |
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30150 |
0.0031 |
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0.8940 |
30200 |
0.0035 |
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0.0278 |
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0.8970 |
30300 |
0.034 |
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0.8985 |
30350 |
0.0255 |
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0.8999 |
30400 |
0.0012 |
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0.0756 |
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0.9029 |
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0.0813 |
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0.0024 |
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0.1491 |
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30650 |
0.0009 |
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0.0406 |
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0.0022 |
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0.0006 |
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31950 |
0.0321 |
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32000 |
0.0879 |
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32050 |
0.0007 |
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0.003 |
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0.0295 |
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0.0817 |
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0.0345 |
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0.0004 |
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0.0112 |
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0.0284 |
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0.0654 |
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0.036 |
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0.0374 |
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0.0022 |
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0.0706 |
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0.0032 |
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0.049 |
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0.038 |
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0.0014 |
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0.9991 |
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0.0207 |
- |
Framework Versions
- Python: 3.11.0
- SetFit: 1.0.3
- Sentence Transformers: 2.3.0
- Transformers: 4.37.2
- PyTorch: 2.2.1+cu121
- Datasets: 2.16.1
- Tokenizers: 0.15.1
Citation
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}
}