SetFit with sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/paraphrase-multilingual-MiniLM-L12-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 Type: SetFit
- Sentence Transformer body: sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
- Classification head: a LogisticRegression instance
- Maximum Sequence Length: 128 tokens
- Number of Classes: 4 classes
Model Sources
- Repository: SetFit on GitHub
- Paper: Efficient Few-Shot Learning Without Prompts
- Blogpost: SetFit: Efficient Few-Shot Learning Without Prompts
Model Labels
Label | Examples |
---|---|
0 |
|
1 |
|
2 |
|
3 |
|
Evaluation
Metrics
Label | Accuracy |
---|---|
all | 0.7890 |
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
# Download from the 🤗 Hub
model = SetFitModel.from_pretrained("alelov/test-model-label2-MiniLMVERSION2")
# Run inference
preds = model("Não apenas isso. A bola de neve do endividamento")
Training Details
Training Set Metrics
Training set | Min | Median | Max |
---|---|---|---|
Word count | 1 | 103.4095 | 2340 |
Label | Training Sample Count |
---|---|
0 | 315 |
1 | 18 |
2 | 12 |
3 | 14 |
Training Hyperparameters
- batch_size: (16, 16)
- num_epochs: (4, 4)
- 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: False
- warmup_proportion: 0.1
- seed: 42
- eval_max_steps: -1
- load_best_model_at_end: True
Training Results
Epoch | Step | Training Loss | Validation Loss |
---|---|---|---|
0.0002 | 1 | 0.3053 | - |
0.0080 | 50 | 0.3476 | - |
0.0160 | 100 | 0.3158 | - |
0.0239 | 150 | 0.3616 | - |
0.0319 | 200 | 0.2441 | - |
0.0399 | 250 | 0.265 | - |
0.0479 | 300 | 0.2206 | - |
0.0559 | 350 | 0.1637 | - |
0.0638 | 400 | 0.1088 | - |
0.0718 | 450 | 0.0766 | - |
0.0798 | 500 | 0.0297 | - |
0.0878 | 550 | 0.0709 | - |
0.0958 | 600 | 0.018 | - |
0.1037 | 650 | 0.0359 | - |
0.1117 | 700 | 0.0111 | - |
0.1197 | 750 | 0.0512 | - |
0.1277 | 800 | 0.0022 | - |
0.1357 | 850 | 0.0011 | - |
0.1436 | 900 | 0.0036 | - |
0.1516 | 950 | 0.0021 | - |
0.1596 | 1000 | 0.0515 | - |
0.1676 | 1050 | 0.0013 | - |
0.1756 | 1100 | 0.0193 | - |
0.1835 | 1150 | 0.0007 | - |
0.1915 | 1200 | 0.0072 | - |
0.1995 | 1250 | 0.0004 | - |
0.2075 | 1300 | 0.0005 | - |
0.2154 | 1350 | 0.0006 | - |
0.2234 | 1400 | 0.0014 | - |
0.2314 | 1450 | 0.0043 | - |
0.2394 | 1500 | 0.0009 | - |
0.2474 | 1550 | 0.0005 | - |
0.2553 | 1600 | 0.0003 | - |
0.2633 | 1650 | 0.0022 | - |
0.2713 | 1700 | 0.0037 | - |
0.2793 | 1750 | 0.0002 | - |
0.2873 | 1800 | 0.0009 | - |
0.2952 | 1850 | 0.0089 | - |
0.3032 | 1900 | 0.0003 | - |
0.3112 | 1950 | 0.001 | - |
0.3192 | 2000 | 0.0006 | - |
0.3272 | 2050 | 0.0005 | - |
0.3351 | 2100 | 0.0003 | - |
0.3431 | 2150 | 0.0414 | - |
0.3511 | 2200 | 0.0136 | - |
0.3591 | 2250 | 0.0003 | - |
0.3671 | 2300 | 0.0023 | - |
0.3750 | 2350 | 0.0002 | - |
0.3830 | 2400 | 0.0002 | - |
0.3910 | 2450 | 0.0047 | - |
0.0002 | 1 | 0.0094 | - |
0.0080 | 50 | 0.0002 | - |
0.0160 | 100 | 0.001 | - |
0.0239 | 150 | 0.0001 | - |
0.0319 | 200 | 0.0001 | - |
0.0399 | 250 | 0.0003 | - |
0.0479 | 300 | 0.0001 | - |
0.0559 | 350 | 0.0001 | - |
0.0638 | 400 | 0.0001 | - |
0.0718 | 450 | 0.0001 | - |
0.0798 | 500 | 0.0521 | - |
0.0878 | 550 | 0.0 | - |
0.0958 | 600 | 0.0003 | - |
0.1037 | 650 | 0.0011 | - |
0.1117 | 700 | 0.0001 | - |
0.1197 | 750 | 0.0006 | - |
0.1277 | 800 | 0.0006 | - |
0.1357 | 850 | 0.0 | - |
0.1436 | 900 | 0.0001 | - |
0.1516 | 950 | 0.0001 | - |
0.1596 | 1000 | 0.0016 | - |
0.1676 | 1050 | 0.0001 | - |
0.1756 | 1100 | 0.004 | - |
0.1835 | 1150 | 0.0 | - |
0.1915 | 1200 | 0.0001 | - |
0.1995 | 1250 | 0.002 | - |
0.2075 | 1300 | 0.0004 | - |
0.2154 | 1350 | 0.0002 | - |
0.2234 | 1400 | 0.0001 | - |
0.2314 | 1450 | 0.008 | - |
0.2394 | 1500 | 0.0001 | - |
0.2474 | 1550 | 0.0008 | - |
0.2553 | 1600 | 0.0001 | - |
0.2633 | 1650 | 0.0002 | - |
0.2713 | 1700 | 0.0005 | - |
0.2793 | 1750 | 0.0 | - |
0.2873 | 1800 | 0.0 | - |
0.2952 | 1850 | 0.0001 | - |
0.3032 | 1900 | 0.0 | - |
0.3112 | 1950 | 0.0 | - |
0.3192 | 2000 | 0.0002 | - |
0.3272 | 2050 | 0.0 | - |
0.3351 | 2100 | 0.0 | - |
0.3431 | 2150 | 0.0005 | - |
0.3511 | 2200 | 0.0008 | - |
0.3591 | 2250 | 0.0001 | - |
0.3671 | 2300 | 0.0004 | - |
0.3750 | 2350 | 0.0 | - |
0.3830 | 2400 | 0.0 | - |
0.3910 | 2450 | 0.0002 | - |
0.3990 | 2500 | 0.0 | - |
0.4070 | 2550 | 0.0 | - |
0.4149 | 2600 | 0.0001 | - |
0.4229 | 2650 | 0.0005 | - |
0.4309 | 2700 | 0.0 | - |
0.4389 | 2750 | 0.0002 | - |
0.4469 | 2800 | 0.0032 | - |
0.4548 | 2850 | 0.0008 | - |
0.4628 | 2900 | 0.0001 | - |
0.4708 | 2950 | 0.0001 | - |
0.4788 | 3000 | 0.0 | - |
0.4868 | 3050 | 0.0005 | - |
0.4947 | 3100 | 0.0 | - |
0.5027 | 3150 | 0.0001 | - |
0.5107 | 3200 | 0.0 | - |
0.5187 | 3250 | 0.0 | - |
0.5267 | 3300 | 0.0 | - |
0.5346 | 3350 | 0.0 | - |
0.5426 | 3400 | 0.0 | - |
0.5506 | 3450 | 0.0004 | - |
0.5586 | 3500 | 0.0 | - |
0.5665 | 3550 | 0.0001 | - |
0.5745 | 3600 | 0.0 | - |
0.5825 | 3650 | 0.0 | - |
0.5905 | 3700 | 0.0003 | - |
0.5985 | 3750 | 0.0 | - |
0.6064 | 3800 | 0.0001 | - |
0.6144 | 3850 | 0.0 | - |
0.6224 | 3900 | 0.0 | - |
0.6304 | 3950 | 0.0 | - |
0.6384 | 4000 | 0.0002 | - |
0.6463 | 4050 | 0.0001 | - |
0.6543 | 4100 | 0.0 | - |
0.6623 | 4150 | 0.0 | - |
0.6703 | 4200 | 0.0005 | - |
0.6783 | 4250 | 0.0 | - |
0.6862 | 4300 | 0.0 | - |
0.6942 | 4350 | 0.0002 | - |
0.7022 | 4400 | 0.0 | - |
0.7102 | 4450 | 0.0 | - |
0.7182 | 4500 | 0.0 | - |
0.7261 | 4550 | 0.0 | - |
0.7341 | 4600 | 0.0001 | - |
0.7421 | 4650 | 0.0 | - |
0.7501 | 4700 | 0.0 | - |
0.7581 | 4750 | 0.0 | - |
0.7660 | 4800 | 0.0 | - |
0.7740 | 4850 | 0.0675 | - |
0.7820 | 4900 | 0.0 | - |
0.7900 | 4950 | 0.0001 | - |
0.7980 | 5000 | 0.0 | - |
0.8059 | 5050 | 0.0 | - |
0.8139 | 5100 | 0.002 | - |
0.8219 | 5150 | 0.0003 | - |
0.8299 | 5200 | 0.0001 | - |
0.8379 | 5250 | 0.0003 | - |
0.8458 | 5300 | 0.0001 | - |
0.8538 | 5350 | 0.0 | - |
0.8618 | 5400 | 0.0 | - |
0.8698 | 5450 | 0.0 | - |
0.8778 | 5500 | 0.0 | - |
0.8857 | 5550 | 0.0 | - |
0.8937 | 5600 | 0.0 | - |
0.9017 | 5650 | 0.0 | - |
0.9097 | 5700 | 0.0001 | - |
0.9177 | 5750 | 0.0 | - |
0.9256 | 5800 | 0.0 | - |
0.9336 | 5850 | 0.0 | - |
0.9416 | 5900 | 0.0 | - |
0.9496 | 5950 | 0.0 | - |
0.9575 | 6000 | 0.0 | - |
0.9655 | 6050 | 0.0 | - |
0.9735 | 6100 | 0.0 | - |
0.9815 | 6150 | 0.0003 | - |
0.9895 | 6200 | 0.0 | - |
0.9974 | 6250 | 0.0 | - |
1.0 | 6266 | - | 0.2644 |
1.0054 | 6300 | 0.0 | - |
1.0134 | 6350 | 0.0 | - |
1.0214 | 6400 | 0.0 | - |
1.0294 | 6450 | 0.0 | - |
1.0373 | 6500 | 0.0 | - |
1.0453 | 6550 | 0.0004 | - |
1.0533 | 6600 | 0.0 | - |
1.0613 | 6650 | 0.0 | - |
1.0693 | 6700 | 0.0 | - |
1.0772 | 6750 | 0.0 | - |
1.0852 | 6800 | 0.0002 | - |
1.0932 | 6850 | 0.0 | - |
1.1012 | 6900 | 0.0 | - |
1.1092 | 6950 | 0.0 | - |
1.1171 | 7000 | 0.0 | - |
1.1251 | 7050 | 0.0 | - |
1.1331 | 7100 | 0.0 | - |
1.1411 | 7150 | 0.0 | - |
1.1491 | 7200 | 0.0 | - |
1.1570 | 7250 | 0.0 | - |
1.1650 | 7300 | 0.0 | - |
1.1730 | 7350 | 0.0 | - |
1.1810 | 7400 | 0.0 | - |
1.1890 | 7450 | 0.0 | - |
1.1969 | 7500 | 0.0423 | - |
1.2049 | 7550 | 0.0 | - |
1.2129 | 7600 | 0.0 | - |
1.2209 | 7650 | 0.0 | - |
1.2289 | 7700 | 0.0007 | - |
1.2368 | 7750 | 0.0 | - |
1.2448 | 7800 | 0.0 | - |
1.2528 | 7850 | 0.0001 | - |
1.2608 | 7900 | 0.0 | - |
1.2688 | 7950 | 0.0001 | - |
1.2767 | 8000 | 0.0 | - |
1.2847 | 8050 | 0.0 | - |
1.2927 | 8100 | 0.0 | - |
1.3007 | 8150 | 0.0001 | - |
1.3086 | 8200 | 0.0 | - |
1.3166 | 8250 | 0.0001 | - |
1.3246 | 8300 | 0.0 | - |
1.3326 | 8350 | 0.0 | - |
1.3406 | 8400 | 0.0 | - |
1.3485 | 8450 | 0.0 | - |
1.3565 | 8500 | 0.0 | - |
1.3645 | 8550 | 0.0 | - |
1.3725 | 8600 | 0.0 | - |
1.3805 | 8650 | 0.0 | - |
1.3884 | 8700 | 0.0 | - |
1.3964 | 8750 | 0.0 | - |
1.4044 | 8800 | 0.0 | - |
1.4124 | 8850 | 0.0 | - |
1.4204 | 8900 | 0.0 | - |
1.4283 | 8950 | 0.0 | - |
1.4363 | 9000 | 0.0 | - |
1.4443 | 9050 | 0.0 | - |
1.4523 | 9100 | 0.0 | - |
1.4603 | 9150 | 0.0 | - |
1.4682 | 9200 | 0.0 | - |
1.4762 | 9250 | 0.0 | - |
1.4842 | 9300 | 0.0242 | - |
1.4922 | 9350 | 0.0 | - |
1.5002 | 9400 | 0.0001 | - |
1.5081 | 9450 | 0.0 | - |
1.5161 | 9500 | 0.0 | - |
1.5241 | 9550 | 0.0 | - |
1.5321 | 9600 | 0.0 | - |
1.5401 | 9650 | 0.0 | - |
1.5480 | 9700 | 0.0 | - |
1.5560 | 9750 | 0.0 | - |
1.5640 | 9800 | 0.0 | - |
1.5720 | 9850 | 0.0 | - |
1.5800 | 9900 | 0.0 | - |
1.5879 | 9950 | 0.0 | - |
1.5959 | 10000 | 0.0 | - |
1.6039 | 10050 | 0.0 | - |
1.6119 | 10100 | 0.0 | - |
1.6199 | 10150 | 0.0 | - |
1.6278 | 10200 | 0.0002 | - |
1.6358 | 10250 | 0.0001 | - |
1.6438 | 10300 | 0.0 | - |
1.6518 | 10350 | 0.0 | - |
1.6598 | 10400 | 0.0 | - |
1.6677 | 10450 | 0.0 | - |
1.6757 | 10500 | 0.0 | - |
1.6837 | 10550 | 0.0 | - |
1.6917 | 10600 | 0.0 | - |
1.6996 | 10650 | 0.0 | - |
1.7076 | 10700 | 0.0 | - |
1.7156 | 10750 | 0.0 | - |
1.7236 | 10800 | 0.0 | - |
1.7316 | 10850 | 0.0 | - |
1.7395 | 10900 | 0.0 | - |
1.7475 | 10950 | 0.0 | - |
1.7555 | 11000 | 0.0 | - |
1.7635 | 11050 | 0.0 | - |
1.7715 | 11100 | 0.0 | - |
1.7794 | 11150 | 0.0 | - |
1.7874 | 11200 | 0.0002 | - |
1.7954 | 11250 | 0.0228 | - |
1.8034 | 11300 | 0.0 | - |
1.8114 | 11350 | 0.0 | - |
1.8193 | 11400 | 0.0 | - |
1.8273 | 11450 | 0.0 | - |
1.8353 | 11500 | 0.0 | - |
1.8433 | 11550 | 0.0 | - |
1.8513 | 11600 | 0.0 | - |
1.8592 | 11650 | 0.0 | - |
1.8672 | 11700 | 0.0 | - |
1.8752 | 11750 | 0.0 | - |
1.8832 | 11800 | 0.0 | - |
1.8912 | 11850 | 0.0 | - |
1.8991 | 11900 | 0.0 | - |
1.9071 | 11950 | 0.0 | - |
1.9151 | 12000 | 0.0 | - |
1.9231 | 12050 | 0.0 | - |
1.9311 | 12100 | 0.0 | - |
1.9390 | 12150 | 0.0 | - |
1.9470 | 12200 | 0.0 | - |
1.9550 | 12250 | 0.0 | - |
1.9630 | 12300 | 0.0 | - |
1.9710 | 12350 | 0.0 | - |
1.9789 | 12400 | 0.0 | - |
1.9869 | 12450 | 0.0 | - |
1.9949 | 12500 | 0.0 | - |
2.0 | 12532 | - | 0.2568 |
2.0029 | 12550 | 0.0 | - |
2.0109 | 12600 | 0.0 | - |
2.0188 | 12650 | 0.0 | - |
2.0268 | 12700 | 0.0 | - |
2.0348 | 12750 | 0.0 | - |
2.0428 | 12800 | 0.0 | - |
2.0508 | 12850 | 0.0 | - |
2.0587 | 12900 | 0.0 | - |
2.0667 | 12950 | 0.0 | - |
2.0747 | 13000 | 0.0 | - |
2.0827 | 13050 | 0.0 | - |
2.0906 | 13100 | 0.0 | - |
2.0986 | 13150 | 0.0 | - |
2.1066 | 13200 | 0.0 | - |
2.1146 | 13250 | 0.0 | - |
2.1226 | 13300 | 0.0 | - |
2.1305 | 13350 | 0.0 | - |
2.1385 | 13400 | 0.0 | - |
2.1465 | 13450 | 0.0 | - |
2.1545 | 13500 | 0.0 | - |
2.1625 | 13550 | 0.005 | - |
2.1704 | 13600 | 0.0 | - |
2.1784 | 13650 | 0.0 | - |
2.1864 | 13700 | 0.0 | - |
2.1944 | 13750 | 0.0 | - |
2.2024 | 13800 | 0.0 | - |
2.2103 | 13850 | 0.0 | - |
2.2183 | 13900 | 0.0 | - |
2.2263 | 13950 | 0.0 | - |
2.2343 | 14000 | 0.0 | - |
2.2423 | 14050 | 0.0 | - |
2.2502 | 14100 | 0.0 | - |
2.2582 | 14150 | 0.0 | - |
2.2662 | 14200 | 0.0 | - |
2.2742 | 14250 | 0.0 | - |
2.2822 | 14300 | 0.0 | - |
2.2901 | 14350 | 0.0005 | - |
2.2981 | 14400 | 0.0 | - |
2.3061 | 14450 | 0.0001 | - |
2.3141 | 14500 | 0.0 | - |
2.3221 | 14550 | 0.0 | - |
2.3300 | 14600 | 0.0 | - |
2.3380 | 14650 | 0.0012 | - |
2.3460 | 14700 | 0.0 | - |
2.3540 | 14750 | 0.0 | - |
2.3620 | 14800 | 0.0 | - |
2.3699 | 14850 | 0.0 | - |
2.3779 | 14900 | 0.0 | - |
2.3859 | 14950 | 0.0 | - |
2.3939 | 15000 | 0.0 | - |
2.4019 | 15050 | 0.0 | - |
2.4098 | 15100 | 0.0 | - |
2.4178 | 15150 | 0.0 | - |
2.4258 | 15200 | 0.0 | - |
2.4338 | 15250 | 0.0017 | - |
2.4417 | 15300 | 0.0 | - |
2.4497 | 15350 | 0.0 | - |
2.4577 | 15400 | 0.0 | - |
2.4657 | 15450 | 0.0 | - |
2.4737 | 15500 | 0.0 | - |
2.4816 | 15550 | 0.0 | - |
2.4896 | 15600 | 0.0 | - |
2.4976 | 15650 | 0.0 | - |
2.5056 | 15700 | 0.0 | - |
2.5136 | 15750 | 0.0 | - |
2.5215 | 15800 | 0.0002 | - |
2.5295 | 15850 | 0.0 | - |
2.5375 | 15900 | 0.0 | - |
2.5455 | 15950 | 0.0 | - |
2.5535 | 16000 | 0.0 | - |
2.5614 | 16050 | 0.0 | - |
2.5694 | 16100 | 0.0 | - |
2.5774 | 16150 | 0.0 | - |
2.5854 | 16200 | 0.0 | - |
2.5934 | 16250 | 0.0 | - |
2.6013 | 16300 | 0.0 | - |
2.6093 | 16350 | 0.0 | - |
2.6173 | 16400 | 0.0 | - |
2.6253 | 16450 | 0.0 | - |
2.6333 | 16500 | 0.0 | - |
2.6412 | 16550 | 0.0 | - |
2.6492 | 16600 | 0.0 | - |
2.6572 | 16650 | 0.0 | - |
2.6652 | 16700 | 0.0 | - |
2.6732 | 16750 | 0.0 | - |
2.6811 | 16800 | 0.0 | - |
2.6891 | 16850 | 0.0 | - |
2.6971 | 16900 | 0.0 | - |
2.7051 | 16950 | 0.0 | - |
2.7131 | 17000 | 0.0 | - |
2.7210 | 17050 | 0.0 | - |
2.7290 | 17100 | 0.0 | - |
2.7370 | 17150 | 0.0 | - |
2.7450 | 17200 | 0.0 | - |
2.7530 | 17250 | 0.0 | - |
2.7609 | 17300 | 0.0 | - |
2.7689 | 17350 | 0.0 | - |
2.7769 | 17400 | 0.0 | - |
2.7849 | 17450 | 0.0 | - |
2.7929 | 17500 | 0.0 | - |
2.8008 | 17550 | 0.0 | - |
2.8088 | 17600 | 0.0 | - |
2.8168 | 17650 | 0.0 | - |
2.8248 | 17700 | 0.0 | - |
2.8327 | 17750 | 0.0001 | - |
2.8407 | 17800 | 0.0 | - |
2.8487 | 17850 | 0.0 | - |
2.8567 | 17900 | 0.0 | - |
2.8647 | 17950 | 0.0 | - |
2.8726 | 18000 | 0.0623 | - |
2.8806 | 18050 | 0.0 | - |
2.8886 | 18100 | 0.0 | - |
2.8966 | 18150 | 0.0 | - |
2.9046 | 18200 | 0.0 | - |
2.9125 | 18250 | 0.0 | - |
2.9205 | 18300 | 0.0 | - |
2.9285 | 18350 | 0.0 | - |
2.9365 | 18400 | 0.0 | - |
2.9445 | 18450 | 0.0 | - |
2.9524 | 18500 | 0.0 | - |
2.9604 | 18550 | 0.0 | - |
2.9684 | 18600 | 0.0 | - |
2.9764 | 18650 | 0.0 | - |
2.9844 | 18700 | 0.0 | - |
2.9923 | 18750 | 0.0 | - |
3.0 | 18798 | - | 0.2418 |
3.0003 | 18800 | 0.0 | - |
3.0083 | 18850 | 0.0 | - |
3.0163 | 18900 | 0.0 | - |
3.0243 | 18950 | 0.0 | - |
3.0322 | 19000 | 0.0 | - |
3.0402 | 19050 | 0.0 | - |
3.0482 | 19100 | 0.0 | - |
3.0562 | 19150 | 0.0 | - |
3.0642 | 19200 | 0.0 | - |
3.0721 | 19250 | 0.0 | - |
3.0801 | 19300 | 0.0 | - |
3.0881 | 19350 | 0.0 | - |
3.0961 | 19400 | 0.0 | - |
3.1041 | 19450 | 0.0 | - |
3.1120 | 19500 | 0.0 | - |
3.1200 | 19550 | 0.0 | - |
3.1280 | 19600 | 0.0 | - |
3.1360 | 19650 | 0.0 | - |
3.1440 | 19700 | 0.0 | - |
3.1519 | 19750 | 0.0 | - |
3.1599 | 19800 | 0.0 | - |
3.1679 | 19850 | 0.0 | - |
3.1759 | 19900 | 0.0 | - |
3.1838 | 19950 | 0.0 | - |
3.1918 | 20000 | 0.0 | - |
3.1998 | 20050 | 0.0 | - |
3.2078 | 20100 | 0.0 | - |
3.2158 | 20150 | 0.0 | - |
3.2237 | 20200 | 0.0 | - |
3.2317 | 20250 | 0.0 | - |
3.2397 | 20300 | 0.0448 | - |
3.2477 | 20350 | 0.0 | - |
3.2557 | 20400 | 0.0 | - |
3.2636 | 20450 | 0.0 | - |
3.2716 | 20500 | 0.0001 | - |
3.2796 | 20550 | 0.0102 | - |
3.2876 | 20600 | 0.0 | - |
3.2956 | 20650 | 0.0 | - |
3.3035 | 20700 | 0.0 | - |
3.3115 | 20750 | 0.0 | - |
3.3195 | 20800 | 0.0 | - |
3.3275 | 20850 | 0.0 | - |
3.3355 | 20900 | 0.0 | - |
3.3434 | 20950 | 0.0 | - |
3.3514 | 21000 | 0.0 | - |
3.3594 | 21050 | 0.0 | - |
3.3674 | 21100 | 0.0 | - |
3.3754 | 21150 | 0.0 | - |
3.3833 | 21200 | 0.0 | - |
3.3913 | 21250 | 0.0 | - |
3.3993 | 21300 | 0.0 | - |
3.4073 | 21350 | 0.0 | - |
3.4153 | 21400 | 0.0 | - |
3.4232 | 21450 | 0.0 | - |
3.4312 | 21500 | 0.0 | - |
3.4392 | 21550 | 0.0 | - |
3.4472 | 21600 | 0.0 | - |
3.4552 | 21650 | 0.0 | - |
3.4631 | 21700 | 0.0 | - |
3.4711 | 21750 | 0.0 | - |
3.4791 | 21800 | 0.0 | - |
3.4871 | 21850 | 0.0 | - |
3.4951 | 21900 | 0.0 | - |
3.5030 | 21950 | 0.0 | - |
3.5110 | 22000 | 0.0 | - |
3.5190 | 22050 | 0.0 | - |
3.5270 | 22100 | 0.0 | - |
3.5350 | 22150 | 0.0 | - |
3.5429 | 22200 | 0.0 | - |
3.5509 | 22250 | 0.0 | - |
3.5589 | 22300 | 0.0 | - |
3.5669 | 22350 | 0.0 | - |
3.5748 | 22400 | 0.0 | - |
3.5828 | 22450 | 0.0 | - |
3.5908 | 22500 | 0.0 | - |
3.5988 | 22550 | 0.0 | - |
3.6068 | 22600 | 0.0 | - |
3.6147 | 22650 | 0.0 | - |
3.6227 | 22700 | 0.0 | - |
3.6307 | 22750 | 0.0 | - |
3.6387 | 22800 | 0.0 | - |
3.6467 | 22850 | 0.0 | - |
3.6546 | 22900 | 0.0 | - |
3.6626 | 22950 | 0.0 | - |
3.6706 | 23000 | 0.0 | - |
3.6786 | 23050 | 0.0 | - |
3.6866 | 23100 | 0.0 | - |
3.6945 | 23150 | 0.0 | - |
3.7025 | 23200 | 0.0 | - |
3.7105 | 23250 | 0.0 | - |
3.7185 | 23300 | 0.0 | - |
3.7265 | 23350 | 0.0 | - |
3.7344 | 23400 | 0.0 | - |
3.7424 | 23450 | 0.0 | - |
3.7504 | 23500 | 0.0 | - |
3.7584 | 23550 | 0.0 | - |
3.7664 | 23600 | 0.0 | - |
3.7743 | 23650 | 0.0 | - |
3.7823 | 23700 | 0.0 | - |
3.7903 | 23750 | 0.0 | - |
3.7983 | 23800 | 0.0 | - |
3.8063 | 23850 | 0.0 | - |
3.8142 | 23900 | 0.0 | - |
3.8222 | 23950 | 0.0 | - |
3.8302 | 24000 | 0.0 | - |
3.8382 | 24050 | 0.0 | - |
3.8462 | 24100 | 0.0 | - |
3.8541 | 24150 | 0.0 | - |
3.8621 | 24200 | 0.0 | - |
3.8701 | 24250 | 0.0 | - |
3.8781 | 24300 | 0.0 | - |
3.8861 | 24350 | 0.0 | - |
3.8940 | 24400 | 0.0 | - |
3.9020 | 24450 | 0.0 | - |
3.9100 | 24500 | 0.0 | - |
3.9180 | 24550 | 0.0 | - |
3.9259 | 24600 | 0.0 | - |
3.9339 | 24650 | 0.0 | - |
3.9419 | 24700 | 0.0 | - |
3.9499 | 24750 | 0.0 | - |
3.9579 | 24800 | 0.0 | - |
3.9658 | 24850 | 0.0 | - |
3.9738 | 24900 | 0.0 | - |
3.9818 | 24950 | 0.0 | - |
3.9898 | 25000 | 0.0 | - |
3.9978 | 25050 | 0.0 | - |
4.0 | 25064 | - | 0.2438 |
0.0002 | 1 | 0.0 | - |
0.0080 | 50 | 0.0 | - |
0.0160 | 100 | 0.0 | - |
0.0239 | 150 | 0.0 | - |
0.0319 | 200 | 0.0 | - |
0.0399 | 250 | 0.0 | - |
0.0479 | 300 | 0.0 | - |
0.0559 | 350 | 0.0 | - |
0.0638 | 400 | 0.0 | - |
0.0718 | 450 | 0.0 | - |
0.0798 | 500 | 0.0 | - |
0.0878 | 550 | 0.0 | - |
0.0958 | 600 | 0.0 | - |
0.1037 | 650 | 0.0 | - |
0.1117 | 700 | 0.0 | - |
0.1197 | 750 | 0.0 | - |
0.1277 | 800 | 0.0 | - |
0.1357 | 850 | 0.0 | - |
0.1436 | 900 | 0.0 | - |
0.1516 | 950 | 0.0 | - |
0.1596 | 1000 | 0.0 | - |
0.1676 | 1050 | 0.0 | - |
0.1756 | 1100 | 0.0 | - |
0.1835 | 1150 | 0.0 | - |
0.1915 | 1200 | 0.0 | - |
0.1995 | 1250 | 0.0 | - |
0.2075 | 1300 | 0.0 | - |
0.2154 | 1350 | 0.0 | - |
0.2234 | 1400 | 0.0 | - |
0.2314 | 1450 | 0.0019 | - |
0.2394 | 1500 | 0.0 | - |
0.2474 | 1550 | 0.0 | - |
0.2553 | 1600 | 0.0 | - |
0.2633 | 1650 | 0.0 | - |
0.2713 | 1700 | 0.0 | - |
0.2793 | 1750 | 0.0 | - |
0.2873 | 1800 | 0.0 | - |
0.2952 | 1850 | 0.0 | - |
0.3032 | 1900 | 0.0 | - |
0.3112 | 1950 | 0.0 | - |
0.3192 | 2000 | 0.0 | - |
0.3272 | 2050 | 0.0 | - |
0.3351 | 2100 | 0.0 | - |
0.3431 | 2150 | 0.0001 | - |
0.3511 | 2200 | 0.0319 | - |
0.3591 | 2250 | 0.0 | - |
0.3671 | 2300 | 0.0 | - |
0.3750 | 2350 | 0.0 | - |
0.3830 | 2400 | 0.0 | - |
0.3910 | 2450 | 0.0002 | - |
0.3990 | 2500 | 0.0 | - |
0.4070 | 2550 | 0.0 | - |
0.4149 | 2600 | 0.0 | - |
0.4229 | 2650 | 0.0 | - |
0.4309 | 2700 | 0.0 | - |
0.4389 | 2750 | 0.0001 | - |
0.4469 | 2800 | 0.0 | - |
0.4548 | 2850 | 0.0 | - |
0.4628 | 2900 | 0.0 | - |
0.4708 | 2950 | 0.0 | - |
0.4788 | 3000 | 0.0 | - |
0.4868 | 3050 | 0.0 | - |
0.4947 | 3100 | 0.0 | - |
0.5027 | 3150 | 0.0 | - |
0.5107 | 3200 | 0.0 | - |
0.5187 | 3250 | 0.0 | - |
0.5267 | 3300 | 0.0 | - |
0.5346 | 3350 | 0.0 | - |
0.5426 | 3400 | 0.0 | - |
0.5506 | 3450 | 0.0 | - |
0.5586 | 3500 | 0.0 | - |
0.5665 | 3550 | 0.0003 | - |
0.5745 | 3600 | 0.0 | - |
0.5825 | 3650 | 0.0 | - |
0.5905 | 3700 | 0.0 | - |
0.5985 | 3750 | 0.0 | - |
0.6064 | 3800 | 0.0 | - |
0.6144 | 3850 | 0.0 | - |
0.6224 | 3900 | 0.0 | - |
0.6304 | 3950 | 0.0 | - |
0.6384 | 4000 | 0.0 | - |
0.6463 | 4050 | 0.0 | - |
0.6543 | 4100 | 0.0 | - |
0.6623 | 4150 | 0.0 | - |
0.6703 | 4200 | 0.0 | - |
0.6783 | 4250 | 0.0 | - |
0.6862 | 4300 | 0.0 | - |
0.6942 | 4350 | 0.0 | - |
0.7022 | 4400 | 0.0 | - |
0.7102 | 4450 | 0.0 | - |
0.7182 | 4500 | 0.0 | - |
0.7261 | 4550 | 0.0 | - |
0.7341 | 4600 | 0.0 | - |
0.7421 | 4650 | 0.0 | - |
0.7501 | 4700 | 0.0 | - |
0.7581 | 4750 | 0.0 | - |
0.7660 | 4800 | 0.0 | - |
0.7740 | 4850 | 0.0602 | - |
0.7820 | 4900 | 0.0 | - |
0.7900 | 4950 | 0.0 | - |
0.7980 | 5000 | 0.0 | - |
0.8059 | 5050 | 0.0 | - |
0.8139 | 5100 | 0.0002 | - |
0.8219 | 5150 | 0.0 | - |
0.8299 | 5200 | 0.0001 | - |
0.8379 | 5250 | 0.0 | - |
0.8458 | 5300 | 0.0 | - |
0.8538 | 5350 | 0.0 | - |
0.8618 | 5400 | 0.0 | - |
0.8698 | 5450 | 0.0 | - |
0.8778 | 5500 | 0.0 | - |
0.8857 | 5550 | 0.0 | - |
0.8937 | 5600 | 0.0 | - |
0.9017 | 5650 | 0.0 | - |
0.9097 | 5700 | 0.0 | - |
0.9177 | 5750 | 0.0 | - |
0.9256 | 5800 | 0.0 | - |
0.9336 | 5850 | 0.0 | - |
0.9416 | 5900 | 0.0 | - |
0.9496 | 5950 | 0.0 | - |
0.9575 | 6000 | 0.0 | - |
0.9655 | 6050 | 0.0 | - |
0.9735 | 6100 | 0.0 | - |
0.9815 | 6150 | 0.0 | - |
0.9895 | 6200 | 0.0 | - |
0.9974 | 6250 | 0.0 | - |
1.0 | 6266 | - | 0.2299 |
1.0054 | 6300 | 0.0 | - |
1.0134 | 6350 | 0.0 | - |
1.0214 | 6400 | 0.0 | - |
1.0294 | 6450 | 0.0 | - |
1.0373 | 6500 | 0.0 | - |
1.0453 | 6550 | 0.0 | - |
1.0533 | 6600 | 0.0 | - |
1.0613 | 6650 | 0.0 | - |
1.0693 | 6700 | 0.0 | - |
1.0772 | 6750 | 0.0 | - |
1.0852 | 6800 | 0.0 | - |
1.0932 | 6850 | 0.0 | - |
1.1012 | 6900 | 0.0 | - |
1.1092 | 6950 | 0.0 | - |
1.1171 | 7000 | 0.0 | - |
1.1251 | 7050 | 0.0 | - |
1.1331 | 7100 | 0.0604 | - |
1.1411 | 7150 | 0.0007 | - |
1.1491 | 7200 | 0.0002 | - |
1.1570 | 7250 | 0.0 | - |
1.1650 | 7300 | 0.0 | - |
1.1730 | 7350 | 0.0 | - |
1.1810 | 7400 | 0.0 | - |
1.1890 | 7450 | 0.0 | - |
1.1969 | 7500 | 0.0395 | - |
1.2049 | 7550 | 0.0 | - |
1.2129 | 7600 | 0.0 | - |
1.2209 | 7650 | 0.0 | - |
1.2289 | 7700 | 0.0 | - |
1.2368 | 7750 | 0.0 | - |
1.2448 | 7800 | 0.0 | - |
1.2528 | 7850 | 0.0 | - |
1.2608 | 7900 | 0.0 | - |
1.2688 | 7950 | 0.0 | - |
1.2767 | 8000 | 0.0 | - |
1.2847 | 8050 | 0.0 | - |
1.2927 | 8100 | 0.0 | - |
1.3007 | 8150 | 0.0002 | - |
1.3086 | 8200 | 0.0 | - |
1.3166 | 8250 | 0.0 | - |
1.3246 | 8300 | 0.0 | - |
1.3326 | 8350 | 0.0 | - |
1.3406 | 8400 | 0.0 | - |
1.3485 | 8450 | 0.0 | - |
1.3565 | 8500 | 0.0 | - |
1.3645 | 8550 | 0.0 | - |
1.3725 | 8600 | 0.0 | - |
1.3805 | 8650 | 0.0 | - |
1.3884 | 8700 | 0.0 | - |
1.3964 | 8750 | 0.0 | - |
1.4044 | 8800 | 0.0 | - |
1.4124 | 8850 | 0.0 | - |
1.4204 | 8900 | 0.0 | - |
1.4283 | 8950 | 0.0 | - |
1.4363 | 9000 | 0.0 | - |
1.4443 | 9050 | 0.0 | - |
1.4523 | 9100 | 0.0 | - |
1.4603 | 9150 | 0.0 | - |
1.4682 | 9200 | 0.0 | - |
1.4762 | 9250 | 0.0 | - |
1.4842 | 9300 | 0.0093 | - |
1.4922 | 9350 | 0.0 | - |
1.5002 | 9400 | 0.0 | - |
1.5081 | 9450 | 0.0 | - |
1.5161 | 9500 | 0.0 | - |
1.5241 | 9550 | 0.0 | - |
1.5321 | 9600 | 0.0 | - |
1.5401 | 9650 | 0.0 | - |
1.5480 | 9700 | 0.0 | - |
1.5560 | 9750 | 0.0 | - |
1.5640 | 9800 | 0.0 | - |
1.5720 | 9850 | 0.0 | - |
1.5800 | 9900 | 0.0 | - |
1.5879 | 9950 | 0.0 | - |
1.5959 | 10000 | 0.0 | - |
1.6039 | 10050 | 0.0 | - |
1.6119 | 10100 | 0.0 | - |
1.6199 | 10150 | 0.0 | - |
1.6278 | 10200 | 0.0001 | - |
1.6358 | 10250 | 0.0 | - |
1.6438 | 10300 | 0.0 | - |
1.6518 | 10350 | 0.0 | - |
1.6598 | 10400 | 0.0 | - |
1.6677 | 10450 | 0.0 | - |
1.6757 | 10500 | 0.0 | - |
1.6837 | 10550 | 0.0 | - |
1.6917 | 10600 | 0.0 | - |
1.6996 | 10650 | 0.0 | - |
1.7076 | 10700 | 0.0 | - |
1.7156 | 10750 | 0.0 | - |
1.7236 | 10800 | 0.0 | - |
1.7316 | 10850 | 0.0 | - |
1.7395 | 10900 | 0.0 | - |
1.7475 | 10950 | 0.0 | - |
1.7555 | 11000 | 0.0 | - |
1.7635 | 11050 | 0.0 | - |
1.7715 | 11100 | 0.0 | - |
1.7794 | 11150 | 0.0 | - |
1.7874 | 11200 | 0.0 | - |
1.7954 | 11250 | 0.0289 | - |
1.8034 | 11300 | 0.0 | - |
1.8114 | 11350 | 0.0 | - |
1.8193 | 11400 | 0.0 | - |
1.8273 | 11450 | 0.0 | - |
1.8353 | 11500 | 0.0 | - |
1.8433 | 11550 | 0.0 | - |
1.8513 | 11600 | 0.0 | - |
1.8592 | 11650 | 0.0 | - |
1.8672 | 11700 | 0.0 | - |
1.8752 | 11750 | 0.0 | - |
1.8832 | 11800 | 0.0 | - |
1.8912 | 11850 | 0.0 | - |
1.8991 | 11900 | 0.0 | - |
1.9071 | 11950 | 0.0 | - |
1.9151 | 12000 | 0.0 | - |
1.9231 | 12050 | 0.0 | - |
1.9311 | 12100 | 0.0 | - |
1.9390 | 12150 | 0.0 | - |
1.9470 | 12200 | 0.0 | - |
1.9550 | 12250 | 0.0 | - |
1.9630 | 12300 | 0.0 | - |
1.9710 | 12350 | 0.0 | - |
1.9789 | 12400 | 0.0 | - |
1.9869 | 12450 | 0.0 | - |
1.9949 | 12500 | 0.0 | - |
2.0 | 12532 | - | 0.2718 |
2.0029 | 12550 | 0.0 | - |
2.0109 | 12600 | 0.0 | - |
2.0188 | 12650 | 0.0 | - |
2.0268 | 12700 | 0.0 | - |
2.0348 | 12750 | 0.0 | - |
2.0428 | 12800 | 0.0 | - |
2.0508 | 12850 | 0.0 | - |
2.0587 | 12900 | 0.0 | - |
2.0667 | 12950 | 0.0 | - |
2.0747 | 13000 | 0.0 | - |
2.0827 | 13050 | 0.0 | - |
2.0906 | 13100 | 0.0 | - |
2.0986 | 13150 | 0.0 | - |
2.1066 | 13200 | 0.0 | - |
2.1146 | 13250 | 0.0 | - |
2.1226 | 13300 | 0.0 | - |
2.1305 | 13350 | 0.0 | - |
2.1385 | 13400 | 0.0 | - |
2.1465 | 13450 | 0.0 | - |
2.1545 | 13500 | 0.0 | - |
2.1625 | 13550 | 0.0037 | - |
2.1704 | 13600 | 0.0 | - |
2.1784 | 13650 | 0.0 | - |
2.1864 | 13700 | 0.0 | - |
2.1944 | 13750 | 0.0 | - |
2.2024 | 13800 | 0.0 | - |
2.2103 | 13850 | 0.0 | - |
2.2183 | 13900 | 0.0 | - |
2.2263 | 13950 | 0.0 | - |
2.2343 | 14000 | 0.0 | - |
2.2423 | 14050 | 0.0 | - |
2.2502 | 14100 | 0.0 | - |
2.2582 | 14150 | 0.0 | - |
2.2662 | 14200 | 0.0 | - |
2.2742 | 14250 | 0.0 | - |
2.2822 | 14300 | 0.0 | - |
2.2901 | 14350 | 0.0009 | - |
2.2981 | 14400 | 0.0 | - |
2.3061 | 14450 | 0.0 | - |
2.3141 | 14500 | 0.0 | - |
2.3221 | 14550 | 0.0 | - |
2.3300 | 14600 | 0.0 | - |
2.3380 | 14650 | 0.0028 | - |
2.3460 | 14700 | 0.0 | - |
2.3540 | 14750 | 0.0 | - |
2.3620 | 14800 | 0.0 | - |
2.3699 | 14850 | 0.0 | - |
2.3779 | 14900 | 0.0 | - |
2.3859 | 14950 | 0.0 | - |
2.3939 | 15000 | 0.0 | - |
2.4019 | 15050 | 0.0 | - |
2.4098 | 15100 | 0.0 | - |
2.4178 | 15150 | 0.0 | - |
2.4258 | 15200 | 0.0 | - |
2.4338 | 15250 | 0.0022 | - |
2.4417 | 15300 | 0.0 | - |
2.4497 | 15350 | 0.0 | - |
2.4577 | 15400 | 0.0 | - |
2.4657 | 15450 | 0.0 | - |
2.4737 | 15500 | 0.0 | - |
2.4816 | 15550 | 0.0 | - |
2.4896 | 15600 | 0.0 | - |
2.4976 | 15650 | 0.0 | - |
2.5056 | 15700 | 0.0 | - |
2.5136 | 15750 | 0.0 | - |
2.5215 | 15800 | 0.0001 | - |
2.5295 | 15850 | 0.0 | - |
2.5375 | 15900 | 0.0 | - |
2.5455 | 15950 | 0.0 | - |
2.5535 | 16000 | 0.0 | - |
2.5614 | 16050 | 0.0 | - |
2.5694 | 16100 | 0.0 | - |
2.5774 | 16150 | 0.0 | - |
2.5854 | 16200 | 0.0 | - |
2.5934 | 16250 | 0.0 | - |
2.6013 | 16300 | 0.0 | - |
2.6093 | 16350 | 0.0 | - |
2.6173 | 16400 | 0.0 | - |
2.6253 | 16450 | 0.0 | - |
2.6333 | 16500 | 0.0 | - |
2.6412 | 16550 | 0.0 | - |
2.6492 | 16600 | 0.0 | - |
2.6572 | 16650 | 0.0 | - |
2.6652 | 16700 | 0.0 | - |
2.6732 | 16750 | 0.0 | - |
2.6811 | 16800 | 0.0 | - |
2.6891 | 16850 | 0.0 | - |
2.6971 | 16900 | 0.0 | - |
2.7051 | 16950 | 0.0 | - |
2.7131 | 17000 | 0.0 | - |
2.7210 | 17050 | 0.0 | - |
2.7290 | 17100 | 0.0 | - |
2.7370 | 17150 | 0.0 | - |
2.7450 | 17200 | 0.0 | - |
2.7530 | 17250 | 0.0 | - |
2.7609 | 17300 | 0.0 | - |
2.7689 | 17350 | 0.0 | - |
2.7769 | 17400 | 0.0 | - |
2.7849 | 17450 | 0.0 | - |
2.7929 | 17500 | 0.0 | - |
2.8008 | 17550 | 0.0 | - |
2.8088 | 17600 | 0.0 | - |
2.8168 | 17650 | 0.0 | - |
2.8248 | 17700 | 0.0 | - |
2.8327 | 17750 | 0.0 | - |
2.8407 | 17800 | 0.0 | - |
2.8487 | 17850 | 0.0 | - |
2.8567 | 17900 | 0.0 | - |
2.8647 | 17950 | 0.0 | - |
2.8726 | 18000 | 0.0624 | - |
2.8806 | 18050 | 0.0 | - |
2.8886 | 18100 | 0.0 | - |
2.8966 | 18150 | 0.0 | - |
2.9046 | 18200 | 0.0 | - |
2.9125 | 18250 | 0.0 | - |
2.9205 | 18300 | 0.0 | - |
2.9285 | 18350 | 0.0 | - |
2.9365 | 18400 | 0.0 | - |
2.9445 | 18450 | 0.0 | - |
2.9524 | 18500 | 0.0 | - |
2.9604 | 18550 | 0.0 | - |
2.9684 | 18600 | 0.0 | - |
2.9764 | 18650 | 0.0 | - |
2.9844 | 18700 | 0.0 | - |
2.9923 | 18750 | 0.0 | - |
3.0 | 18798 | - | 0.2642 |
3.0003 | 18800 | 0.0 | - |
3.0083 | 18850 | 0.0 | - |
3.0163 | 18900 | 0.0 | - |
3.0243 | 18950 | 0.0 | - |
3.0322 | 19000 | 0.0 | - |
3.0402 | 19050 | 0.0 | - |
3.0482 | 19100 | 0.0 | - |
3.0562 | 19150 | 0.0 | - |
3.0642 | 19200 | 0.0 | - |
3.0721 | 19250 | 0.0 | - |
3.0801 | 19300 | 0.0 | - |
3.0881 | 19350 | 0.0 | - |
3.0961 | 19400 | 0.0 | - |
3.1041 | 19450 | 0.0 | - |
3.1120 | 19500 | 0.0 | - |
3.1200 | 19550 | 0.0 | - |
3.1280 | 19600 | 0.0 | - |
3.1360 | 19650 | 0.0 | - |
3.1440 | 19700 | 0.0 | - |
3.1519 | 19750 | 0.0 | - |
3.1599 | 19800 | 0.0 | - |
3.1679 | 19850 | 0.0 | - |
3.1759 | 19900 | 0.0 | - |
3.1838 | 19950 | 0.0 | - |
3.1918 | 20000 | 0.0 | - |
3.1998 | 20050 | 0.0 | - |
3.2078 | 20100 | 0.0 | - |
3.2158 | 20150 | 0.0 | - |
3.2237 | 20200 | 0.0 | - |
3.2317 | 20250 | 0.0 | - |
3.2397 | 20300 | 0.0418 | - |
3.2477 | 20350 | 0.0 | - |
3.2557 | 20400 | 0.0 | - |
3.2636 | 20450 | 0.0 | - |
3.2716 | 20500 | 0.0 | - |
3.2796 | 20550 | 0.0077 | - |
3.2876 | 20600 | 0.0 | - |
3.2956 | 20650 | 0.0 | - |
3.3035 | 20700 | 0.0 | - |
3.3115 | 20750 | 0.0 | - |
3.3195 | 20800 | 0.0 | - |
3.3275 | 20850 | 0.0 | - |
3.3355 | 20900 | 0.0 | - |
3.3434 | 20950 | 0.0 | - |
3.3514 | 21000 | 0.0 | - |
3.3594 | 21050 | 0.0 | - |
3.3674 | 21100 | 0.0 | - |
3.3754 | 21150 | 0.0 | - |
3.3833 | 21200 | 0.0 | - |
3.3913 | 21250 | 0.0 | - |
3.3993 | 21300 | 0.0 | - |
3.4073 | 21350 | 0.0 | - |
3.4153 | 21400 | 0.0 | - |
3.4232 | 21450 | 0.0 | - |
3.4312 | 21500 | 0.0 | - |
3.4392 | 21550 | 0.0 | - |
3.4472 | 21600 | 0.0 | - |
3.4552 | 21650 | 0.0 | - |
3.4631 | 21700 | 0.0 | - |
3.4711 | 21750 | 0.0 | - |
3.4791 | 21800 | 0.0 | - |
3.4871 | 21850 | 0.0 | - |
3.4951 | 21900 | 0.0 | - |
3.5030 | 21950 | 0.0 | - |
3.5110 | 22000 | 0.0 | - |
3.5190 | 22050 | 0.0 | - |
3.5270 | 22100 | 0.0 | - |
3.5350 | 22150 | 0.0 | - |
3.5429 | 22200 | 0.0 | - |
3.5509 | 22250 | 0.0 | - |
3.5589 | 22300 | 0.0 | - |
3.5669 | 22350 | 0.0 | - |
3.5748 | 22400 | 0.0 | - |
3.5828 | 22450 | 0.0 | - |
3.5908 | 22500 | 0.0 | - |
3.5988 | 22550 | 0.0 | - |
3.6068 | 22600 | 0.0 | - |
3.6147 | 22650 | 0.0 | - |
3.6227 | 22700 | 0.0 | - |
3.6307 | 22750 | 0.0 | - |
3.6387 | 22800 | 0.0 | - |
3.6467 | 22850 | 0.0 | - |
3.6546 | 22900 | 0.0 | - |
3.6626 | 22950 | 0.0 | - |
3.6706 | 23000 | 0.0 | - |
3.6786 | 23050 | 0.0 | - |
3.6866 | 23100 | 0.0 | - |
3.6945 | 23150 | 0.0 | - |
3.7025 | 23200 | 0.0 | - |
3.7105 | 23250 | 0.0 | - |
3.7185 | 23300 | 0.0 | - |
3.7265 | 23350 | 0.0 | - |
3.7344 | 23400 | 0.0 | - |
3.7424 | 23450 | 0.0 | - |
3.7504 | 23500 | 0.0 | - |
3.7584 | 23550 | 0.0 | - |
3.7664 | 23600 | 0.0 | - |
3.7743 | 23650 | 0.0 | - |
3.7823 | 23700 | 0.0 | - |
3.7903 | 23750 | 0.0 | - |
3.7983 | 23800 | 0.0 | - |
3.8063 | 23850 | 0.0 | - |
3.8142 | 23900 | 0.0 | - |
3.8222 | 23950 | 0.0 | - |
3.8302 | 24000 | 0.0 | - |
3.8382 | 24050 | 0.0 | - |
3.8462 | 24100 | 0.0 | - |
3.8541 | 24150 | 0.0 | - |
3.8621 | 24200 | 0.0 | - |
3.8701 | 24250 | 0.0 | - |
3.8781 | 24300 | 0.0 | - |
3.8861 | 24350 | 0.0 | - |
3.8940 | 24400 | 0.0 | - |
3.9020 | 24450 | 0.0 | - |
3.9100 | 24500 | 0.0 | - |
3.9180 | 24550 | 0.0 | - |
3.9259 | 24600 | 0.0 | - |
3.9339 | 24650 | 0.0 | - |
3.9419 | 24700 | 0.0 | - |
3.9499 | 24750 | 0.0 | - |
3.9579 | 24800 | 0.0 | - |
3.9658 | 24850 | 0.0 | - |
3.9738 | 24900 | 0.0 | - |
3.9818 | 24950 | 0.0 | - |
3.9898 | 25000 | 0.0 | - |
3.9978 | 25050 | 0.0 | - |
4.0 | 25064 | - | 0.2557 |
- The bold row denotes the saved checkpoint.
Framework Versions
- Python: 3.10.12
- SetFit: 1.0.3
- Sentence Transformers: 2.7.0
- Transformers: 4.40.2
- PyTorch: 2.2.1+cu121
- Datasets: 2.19.1
- Tokenizers: 0.19.1
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}
}
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