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ANLP_kaggle

Text Classification
setfit
Safetensors
sentence-transformers
mpnet
generated_from_setfit_trainer
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EmeraldMP commited on
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1 Parent(s): a18acfc

Add SetFit model

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Files changed (3) hide show
  1. README.md +139 -15
  2. model.safetensors +1 -1
  3. model_head.pkl +1 -1
README.md CHANGED
@@ -133,7 +133,7 @@ preds = model("Climate change is causing a significant rise in sea levels.")
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  ### Training Hyperparameters
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  - batch_size: (16, 16)
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- - num_epochs: (1, 1)
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  - max_steps: -1
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  - sampling_strategy: oversampling
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  - num_iterations: 20
@@ -152,20 +152,144 @@ preds = model("Climate change is causing a significant rise in sea levels.")
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  ### Training Results
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  | Epoch | Step | Training Loss | Validation Loss |
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  |:------:|:----:|:-------------:|:---------------:|
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- | 0.0015 | 1 | 0.2839 | - |
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- | 0.0727 | 50 | 0.1245 | - |
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- | 0.1453 | 100 | 0.1334 | - |
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- | 0.2180 | 150 | 0.0142 | - |
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- | 0.2907 | 200 | 0.0046 | - |
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- | 0.3634 | 250 | 0.0024 | - |
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- | 0.4360 | 300 | 0.0019 | - |
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- | 0.5087 | 350 | 0.0011 | - |
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- | 0.5814 | 400 | 0.0013 | - |
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- | 0.6541 | 450 | 0.0007 | - |
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- | 0.7267 | 500 | 0.0011 | - |
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- | 0.7994 | 550 | 0.001 | - |
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- | 0.8721 | 600 | 0.001 | - |
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- | 0.9448 | 650 | 0.0004 | - |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework Versions
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  - Python: 3.10.12
 
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  ### Training Hyperparameters
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  - batch_size: (16, 16)
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+ - num_epochs: (10, 10)
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  - max_steps: -1
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  - sampling_strategy: oversampling
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  - num_iterations: 20
 
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  ### Training Results
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  | Epoch | Step | Training Loss | Validation Loss |
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  |:------:|:----:|:-------------:|:---------------:|
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+ | 0.0015 | 1 | 0.2748 | - |
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+ | 0.0727 | 50 | 0.2537 | - |
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+ | 0.1453 | 100 | 0.1734 | - |
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+ | 0.2180 | 150 | 0.1086 | - |
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+ | 0.2907 | 200 | 0.062 | - |
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+ | 0.3634 | 250 | 0.046 | - |
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+ | 0.4360 | 300 | 0.017 | - |
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+ | 0.5087 | 350 | 0.0104 | - |
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+ | 0.5814 | 400 | 0.006 | - |
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+ | 0.6541 | 450 | 0.0021 | - |
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+ | 0.7267 | 500 | 0.0052 | - |
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+ | 0.7994 | 550 | 0.0045 | - |
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+ | 0.8721 | 600 | 0.0012 | - |
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+ | 0.9448 | 650 | 0.0007 | - |
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+ | 1.0174 | 700 | 0.0006 | - |
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+ | 1.0901 | 750 | 0.0006 | - |
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+ | 1.1628 | 800 | 0.0006 | - |
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+ | 1.2355 | 850 | 0.0005 | - |
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+ | 1.3081 | 900 | 0.0004 | - |
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+ | 1.3808 | 950 | 0.0003 | - |
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+ | 1.4535 | 1000 | 0.0004 | - |
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+ | 1.5262 | 1050 | 0.0004 | - |
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+ | 1.5988 | 1100 | 0.0004 | - |
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+ | 1.6715 | 1150 | 0.0003 | - |
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+ | 1.7442 | 1200 | 0.0002 | - |
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+ | 1.8169 | 1250 | 0.0002 | - |
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+ | 1.8895 | 1300 | 0.0005 | - |
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+ | 1.9622 | 1350 | 0.0004 | - |
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+ | 2.0349 | 1400 | 0.0002 | - |
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+ | 2.1076 | 1450 | 0.0004 | - |
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+ | 2.1802 | 1500 | 0.0002 | - |
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+ | 2.2529 | 1550 | 0.0002 | - |
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+ | 2.3256 | 1600 | 0.0004 | - |
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+ | 2.3983 | 1650 | 0.0002 | - |
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+ | 2.4709 | 1700 | 0.0002 | - |
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+ | 2.5436 | 1750 | 0.0002 | - |
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+ | 2.6163 | 1800 | 0.0002 | - |
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+ | 2.6890 | 1850 | 0.0002 | - |
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+ | 2.7616 | 1900 | 0.0003 | - |
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+ | 2.8343 | 1950 | 0.0001 | - |
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+ | 2.9070 | 2000 | 0.0002 | - |
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+ | 2.9797 | 2050 | 0.0002 | - |
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+ | 3.0523 | 2100 | 0.0003 | - |
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+ | 3.125 | 2150 | 0.0002 | - |
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+ | 3.1977 | 2200 | 0.0002 | - |
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+ | 3.2703 | 2250 | 0.0001 | - |
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+ | 3.3430 | 2300 | 0.0002 | - |
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+ | 3.4157 | 2350 | 0.0002 | - |
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+ | 3.4884 | 2400 | 0.0002 | - |
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+ | 3.5610 | 2450 | 0.0001 | - |
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+ | 3.6337 | 2500 | 0.0001 | - |
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+ | 3.7064 | 2550 | 0.0001 | - |
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+ | 3.7791 | 2600 | 0.0001 | - |
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+ | 3.8517 | 2650 | 0.0001 | - |
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+ | 3.9244 | 2700 | 0.0001 | - |
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+ | 3.9971 | 2750 | 0.0001 | - |
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+ | 4.0698 | 2800 | 0.0001 | - |
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+ | 4.1424 | 2850 | 0.0001 | - |
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+ | 4.2151 | 2900 | 0.0001 | - |
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+ | 4.2878 | 2950 | 0.0001 | - |
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+ | 4.3605 | 3000 | 0.0001 | - |
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+ | 4.4331 | 3050 | 0.0001 | - |
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+ | 4.5058 | 3100 | 0.0001 | - |
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+ | 4.5785 | 3150 | 0.0001 | - |
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+ | 4.6512 | 3200 | 0.0001 | - |
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+ | 4.7238 | 3250 | 0.0001 | - |
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+ | 4.7965 | 3300 | 0.0001 | - |
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+ | 4.8692 | 3350 | 0.0001 | - |
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+ | 4.9419 | 3400 | 0.0001 | - |
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+ | 5.0145 | 3450 | 0.0001 | - |
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+ | 5.0872 | 3500 | 0.0001 | - |
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+ | 5.1599 | 3550 | 0.0001 | - |
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+ | 5.2326 | 3600 | 0.0001 | - |
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+ | 5.3779 | 3700 | 0.0001 | - |
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+ | 5.4506 | 3750 | 0.0001 | - |
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+ | 5.5233 | 3800 | 0.0001 | - |
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+ | 5.8140 | 4000 | 0.0001 | - |
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+ | 5.8866 | 4050 | 0.0001 | - |
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+ | 5.9593 | 4100 | 0.0001 | - |
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+ | 6.0320 | 4150 | 0.0001 | - |
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+ | 6.1047 | 4200 | 0.0001 | - |
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+ | 6.1773 | 4250 | 0.0001 | - |
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+ | 6.25 | 4300 | 0.0001 | - |
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+ | 6.3227 | 4350 | 0.0001 | - |
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+ | 6.3953 | 4400 | 0.0001 | - |
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+ | 6.4680 | 4450 | 0.0001 | - |
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+ | 6.5407 | 4500 | 0.0001 | - |
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+ | 6.6134 | 4550 | 0.0001 | - |
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+ | 6.6860 | 4600 | 0.0001 | - |
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+ | 6.7587 | 4650 | 0.0001 | - |
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+ | 6.8314 | 4700 | 0.0001 | - |
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+ | 6.9041 | 4750 | 0.0001 | - |
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+ | 6.9767 | 4800 | 0.0 | - |
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+ | 7.0494 | 4850 | 0.0001 | - |
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+ | 7.1221 | 4900 | 0.0001 | - |
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+ | 7.1948 | 4950 | 0.0001 | - |
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+ | 7.2674 | 5000 | 0.0001 | - |
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+ | 7.3401 | 5050 | 0.0001 | - |
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+ | 7.4128 | 5100 | 0.0001 | - |
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+ | 7.4855 | 5150 | 0.0001 | - |
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+ | 7.5581 | 5200 | 0.0001 | - |
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+ | 7.9942 | 5500 | 0.0 | - |
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+ | 8.0669 | 5550 | 0.0001 | - |
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+ | 8.1395 | 5600 | 0.0001 | - |
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+ | 8.2122 | 5650 | 0.0001 | - |
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+ | 8.2849 | 5700 | 0.0 | - |
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+ | 8.3576 | 5750 | 0.0001 | - |
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+ | 8.4302 | 5800 | 0.0001 | - |
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+ | 8.5029 | 5850 | 0.0001 | - |
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+ | 8.5756 | 5900 | 0.0001 | - |
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+ | 8.6483 | 5950 | 0.0001 | - |
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+ | 8.7209 | 6000 | 0.0001 | - |
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+ | 8.7936 | 6050 | 0.0001 | - |
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+ | 8.8663 | 6100 | 0.0 | - |
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+ | 8.9390 | 6150 | 0.0 | - |
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+ | 9.0116 | 6200 | 0.0001 | - |
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+ | 9.0843 | 6250 | 0.0001 | - |
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+ | 9.1570 | 6300 | 0.0 | - |
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+ | 9.2297 | 6350 | 0.0 | - |
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+ | 9.3023 | 6400 | 0.0 | - |
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+ | 9.375 | 6450 | 0.0001 | - |
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+ | 9.4477 | 6500 | 0.0001 | - |
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+ | 9.5203 | 6550 | 0.0001 | - |
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+ | 9.7384 | 6700 | 0.0001 | - |
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+ | 9.8110 | 6750 | 0.0001 | - |
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+ | 9.8837 | 6800 | 0.0001 | - |
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+ | 9.9564 | 6850 | 0.0 | - |
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  ### Framework Versions
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  - Python: 3.10.12
model.safetensors CHANGED
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model_head.pkl CHANGED
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