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yaniseuranova
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setfit-rag-hybrid-search-query-router-test

Text Classification
setfit
Safetensors
sentence-transformers
bert
generated_from_setfit_trainer
Eval Results
Model card Files Community
yaniseuranova commited on
Commit
423904b
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1 Parent(s): a359ad8

Add SetFit model

Browse files
Files changed (5) hide show
  1. README.md +15 -325
  2. config.json +1 -1
  3. config_setfit.json +2 -2
  4. model.safetensors +1 -1
  5. model_head.pkl +1 -1
README.md CHANGED
@@ -133,7 +133,7 @@ preds = model("What is the purpose of setting up a CUPS on a server?")
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  | semantic | 118 |
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  ### Training Hyperparameters
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- - batch_size: (1, 1)
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  - num_epochs: (1, 1)
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  - max_steps: -1
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  - sampling_strategy: oversampling
@@ -150,330 +150,20 @@ preds = model("What is the purpose of setting up a CUPS on a server?")
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  - load_best_model_at_end: True
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  ### Training Results
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- | Epoch | Step | Training Loss | Validation Loss |
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- |:-------:|:---------:|:-------------:|:---------------:|
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- | 0.0001 | 1 | 0.919 | - |
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- | 0.0031 | 50 | 0.0006 | - |
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- | 0.0062 | 100 | 0.0208 | - |
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- | 0.0094 | 150 | 0.0001 | - |
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- | 0.0125 | 200 | 0.0163 | - |
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- | 0.0156 | 250 | 0.0043 | - |
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- | 0.0187 | 300 | 0.0082 | - |
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- | 0.0218 | 350 | 0.0217 | - |
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- | 0.0250 | 400 | 0.008 | - |
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- | 0.0281 | 450 | 0.0451 | - |
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- | 0.0312 | 500 | 0.0179 | - |
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- | 0.0343 | 550 | 0.0801 | - |
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- | 0.0374 | 600 | 0.0898 | - |
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- | 0.0406 | 650 | 0.1121 | - |
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- | 0.0437 | 700 | 0.0165 | - |
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- | 0.0468 | 750 | 0.0402 | - |
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- | 0.0499 | 800 | 0.1585 | - |
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- | 0.0531 | 850 | 0.0028 | - |
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- | 0.0562 | 900 | 0.0033 | - |
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- | 0.0593 | 950 | 0.0001 | - |
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- | 0.0624 | 1000 | 0.002 | - |
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- | 0.0655 | 1050 | 0.0001 | - |
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- | 0.0687 | 1100 | 0.0158 | - |
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- | 0.0718 | 1150 | 0.0 | - |
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- | 0.0749 | 1200 | 0.0001 | - |
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- | 0.0780 | 1250 | 0.0044 | - |
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- | 0.0811 | 1300 | 0.002 | - |
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- | 0.0843 | 1350 | 0.0016 | - |
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- | 0.0874 | 1400 | 0.0003 | - |
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- | 0.0905 | 1450 | 0.0005 | - |
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- | 0.0936 | 1500 | 0.001 | - |
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- | 0.0967 | 1550 | 0.0 | - |
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- | 0.0999 | 1600 | 0.0 | - |
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- | 0.1030 | 1650 | 0.0001 | - |
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- | 0.1061 | 1700 | 0.0 | - |
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- | 0.1092 | 1750 | 0.0001 | - |
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- | 0.1123 | 1800 | 0.0 | - |
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- | 0.1155 | 1850 | 0.0002 | - |
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- | 0.1186 | 1900 | 0.0004 | - |
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- | 0.1217 | 1950 | 0.0006 | - |
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- | 0.1248 | 2000 | 0.0001 | - |
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- | 0.1279 | 2050 | 0.0 | - |
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- | 0.1311 | 2100 | 0.0001 | - |
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- | 0.1342 | 2150 | 0.0009 | - |
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- | 0.1373 | 2200 | 0.0 | - |
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- | 0.1404 | 2250 | 0.0001 | - |
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- | 0.1436 | 2300 | 0.0001 | - |
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- | 0.1467 | 2350 | 0.0 | - |
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- | 0.1498 | 2400 | 0.0001 | - |
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- | 0.1529 | 2450 | 0.0 | - |
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- | 0.1560 | 2500 | 0.0 | - |
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- | 0.1592 | 2550 | 0.0001 | - |
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- | 0.1623 | 2600 | 0.0 | - |
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- | 0.1654 | 2650 | 0.0003 | - |
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- | 0.1685 | 2700 | 0.0 | - |
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- | 0.1716 | 2750 | 0.0001 | - |
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- | 0.1748 | 2800 | 0.0 | - |
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- | 0.1779 | 2850 | 0.0 | - |
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- | 0.1810 | 2900 | 0.0 | - |
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- | 0.1841 | 2950 | 0.0 | - |
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- | 0.1872 | 3000 | 0.0 | - |
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- | 0.1904 | 3050 | 0.0 | - |
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- | 0.1935 | 3100 | 0.0001 | - |
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- | 0.1966 | 3150 | 0.0 | - |
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- | 0.1997 | 3200 | 0.0 | - |
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- | 0.2028 | 3250 | 0.0 | - |
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- | 0.2060 | 3300 | 0.0 | - |
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- | 0.2091 | 3350 | 0.0 | - |
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- | 0.2122 | 3400 | 0.0 | - |
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- | 0.2153 | 3450 | 0.0 | - |
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- | 0.2184 | 3500 | 0.0005 | - |
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- | 0.2216 | 3550 | 0.0 | - |
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- | 0.2247 | 3600 | 0.0 | - |
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- | 0.2278 | 3650 | 0.0 | - |
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- | 0.2309 | 3700 | 0.0 | - |
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- | 0.2341 | 3750 | 0.0005 | - |
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- | 0.2372 | 3800 | 0.0 | - |
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- | 0.2403 | 3850 | 0.0 | - |
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- | 0.2434 | 3900 | 0.0 | - |
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- | 0.2497 | 4000 | 0.0001 | - |
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- | 0.2528 | 4050 | 0.0 | - |
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- | 0.2590 | 4150 | 0.0001 | - |
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- | 0.2621 | 4200 | 0.0001 | - |
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- | 0.2653 | 4250 | 0.0 | - |
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- | 0.2684 | 4300 | 0.0001 | - |
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- | 0.2715 | 4350 | 0.0 | - |
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- | 0.2777 | 4450 | 0.0 | - |
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- | 0.2809 | 4500 | 0.0 | - |
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- | 0.2840 | 4550 | 0.0002 | - |
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- | 0.2871 | 4600 | 0.0 | - |
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- | 0.2902 | 4650 | 0.0002 | - |
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- | 0.2933 | 4700 | 0.0 | - |
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- | 0.2965 | 4750 | 0.0 | - |
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- | 0.2996 | 4800 | 0.0 | - |
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- | 0.3027 | 4850 | 0.0002 | - |
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- | 0.3058 | 4900 | 0.0 | - |
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- | 0.3090 | 4950 | 0.0 | - |
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- | 0.3121 | 5000 | 0.0 | - |
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- | 0.3152 | 5050 | 0.0 | - |
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- | 0.3183 | 5100 | 0.0001 | - |
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- | 0.3214 | 5150 | 0.0 | - |
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- | 0.3246 | 5200 | 0.0001 | - |
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- | 0.3277 | 5250 | 0.0 | - |
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- | 0.3308 | 5300 | 0.0 | - |
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- | 0.3339 | 5350 | 0.0001 | - |
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- | 0.3370 | 5400 | 0.0 | - |
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- | 0.3402 | 5450 | 0.0 | - |
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- | 0.3433 | 5500 | 0.0001 | - |
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- | 0.3464 | 5550 | 0.0 | - |
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- | 0.3495 | 5600 | 0.0003 | - |
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- | 0.3526 | 5650 | 0.0 | - |
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- | 0.3558 | 5700 | 0.0001 | - |
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- | 0.3589 | 5750 | 0.0 | - |
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- | 0.3620 | 5800 | 0.0 | - |
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- | 0.3651 | 5850 | 0.0 | - |
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- | 0.3682 | 5900 | 0.0 | - |
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- | 0.3714 | 5950 | 0.0 | - |
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- | 0.3745 | 6000 | 0.0 | - |
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- | 0.3776 | 6050 | 0.0001 | - |
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- | 0.3807 | 6100 | 0.0 | - |
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- | 0.3838 | 6150 | 0.0 | - |
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- | 0.3870 | 6200 | 0.0 | - |
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- | 0.3901 | 6250 | 0.0001 | - |
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- | 0.3932 | 6300 | 0.0001 | - |
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- | 0.3963 | 6350 | 0.0002 | - |
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- | 0.3995 | 6400 | 0.0003 | - |
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- | 0.4026 | 6450 | 0.0001 | - |
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- | 0.4057 | 6500 | 0.0002 | - |
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- | 0.4088 | 6550 | 0.0001 | - |
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- | 0.4119 | 6600 | 0.0 | - |
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- | 0.4151 | 6650 | 0.0 | - |
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- | 0.4182 | 6700 | 0.0001 | - |
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- | 0.4213 | 6750 | 0.0004 | - |
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- | 0.4244 | 6800 | 0.0 | - |
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- | 0.4275 | 6850 | 0.0001 | - |
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- | 0.4307 | 6900 | 0.0 | - |
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- | 0.4338 | 6950 | 0.0 | - |
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- | 0.4369 | 7000 | 0.0001 | - |
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- | 0.4431 | 7100 | 0.0001 | - |
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- | 0.4463 | 7150 | 0.0 | - |
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- | 0.4494 | 7200 | 0.0001 | - |
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- | 0.4525 | 7250 | 0.0 | - |
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- | 0.4556 | 7300 | 0.0001 | - |
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- | 0.4587 | 7350 | 0.0 | - |
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- | 0.4619 | 7400 | 0.0 | - |
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- | 0.4650 | 7450 | 0.0 | - |
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- | 0.4681 | 7500 | 0.0 | - |
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- | 0.4712 | 7550 | 0.0001 | - |
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- | 0.4743 | 7600 | 0.0001 | - |
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- | 0.4775 | 7650 | 0.0 | - |
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- | 0.4806 | 7700 | 0.0 | - |
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- | 0.4837 | 7750 | 0.0001 | - |
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- | 0.4868 | 7800 | 0.0001 | - |
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- | 0.4900 | 7850 | 0.0 | - |
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- | 0.4931 | 7900 | 0.0 | - |
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- | 0.4962 | 7950 | 0.0 | - |
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- | 0.4993 | 8000 | 0.0 | - |
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- | 0.5024 | 8050 | 0.0 | - |
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- | 0.5056 | 8100 | 0.0001 | - |
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- | 0.5087 | 8150 | 0.0 | - |
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- | 0.5118 | 8200 | 0.0 | - |
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- | 0.5149 | 8250 | 0.0 | - |
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- | 0.5180 | 8300 | 0.0001 | - |
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- | 0.5212 | 8350 | 0.0001 | - |
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- | 0.5243 | 8400 | 0.0 | - |
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- | 0.5274 | 8450 | 0.0 | - |
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- | 0.5305 | 8500 | 0.0 | - |
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- | 0.5336 | 8550 | 0.0 | - |
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- | 0.5368 | 8600 | 0.0001 | - |
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- | 0.5399 | 8650 | 0.0 | - |
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- | 0.5430 | 8700 | 0.0 | - |
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- | 0.5461 | 8750 | 0.0 | - |
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- | 0.5492 | 8800 | 0.0 | - |
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- | 0.5524 | 8850 | 0.0 | - |
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- | 0.5555 | 8900 | 0.0 | - |
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- | 0.5586 | 8950 | 0.0 | - |
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- | 0.5617 | 9000 | 0.0 | - |
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- | 0.5648 | 9050 | 0.0 | - |
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- | 0.5680 | 9100 | 0.0001 | - |
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- | 0.5711 | 9150 | 0.0 | - |
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- | 0.5742 | 9200 | 0.0 | - |
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- | 0.5773 | 9250 | 0.0004 | - |
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- | 0.5805 | 9300 | 0.0 | - |
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- | 0.5836 | 9350 | 0.0 | - |
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- | 0.5867 | 9400 | 0.0 | - |
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- | 0.5898 | 9450 | 0.0 | - |
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- | 0.6023 | 9650 | 0.0001 | - |
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- | 0.6117 | 9800 | 0.0 | - |
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- | 0.6210 | 9950 | 0.0 | - |
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- | 0.6241 | 10000 | 0.0 | - |
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- | 0.6273 | 10050 | 0.0 | - |
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- | 0.6397 | 10250 | 0.0 | - |
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- | 0.6429 | 10300 | 0.0 | - |
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- | 0.6460 | 10350 | 0.0001 | - |
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- | 0.6522 | 10450 | 0.0002 | - |
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- | 0.6616 | 10600 | 0.0 | - |
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- | 0.6647 | 10650 | 0.0 | - |
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- | 0.6866 | 11000 | 0.0001 | - |
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- | 0.7022 | 11250 | 0.0001 | - |
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- | **1.0** | **16022** | **-** | **0.1745** |
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478
  * The bold row denotes the saved checkpoint.
479
  ### Framework Versions
 
133
  | semantic | 118 |
134
 
135
  ### Training Hyperparameters
136
+ - batch_size: (32, 32)
137
  - num_epochs: (1, 1)
138
  - max_steps: -1
139
  - sampling_strategy: oversampling
 
150
  - load_best_model_at_end: True
151
 
152
  ### Training Results
153
+ | Epoch | Step | Training Loss | Validation Loss |
154
+ |:-------:|:-------:|:-------------:|:---------------:|
155
+ | 0.0020 | 1 | 0.4064 | - |
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+ | 0.0998 | 50 | 0.2177 | - |
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+ | 0.1996 | 100 | 0.0437 | - |
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+ | 0.2994 | 150 | 0.0057 | - |
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+ | 0.3992 | 200 | 0.0034 | - |
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+ | 0.4990 | 250 | 0.0009 | - |
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+ | 0.5988 | 300 | 0.0009 | - |
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+ | 0.6986 | 350 | 0.0007 | - |
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+ | 0.7984 | 400 | 0.0007 | - |
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+ | 0.8982 | 450 | 0.0009 | - |
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+ | 0.9980 | 500 | 0.0005 | - |
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+ | **1.0** | **501** | **-** | **0.1811** |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
167
 
168
  * The bold row denotes the saved checkpoint.
169
  ### Framework Versions
config.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
- "_name_or_path": "checkpoints/step_16022",
3
  "architectures": [
4
  "BertModel"
5
  ],
 
1
  {
2
+ "_name_or_path": "checkpoints/step_501",
3
  "architectures": [
4
  "BertModel"
5
  ],
config_setfit.json CHANGED
@@ -1,7 +1,7 @@
1
  {
 
2
  "labels": [
3
  "lexical",
4
  "semantic"
5
- ],
6
- "normalize_embeddings": false
7
  }
 
1
  {
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