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waterabbit114
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my-setfit-classifier

Text Classification
setfit
Safetensors
sentence-transformers
mpnet
generated_from_setfit_trainer
Eval Results
Model card Files
xet
Community
waterabbit114 commited on
Commit
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1 Parent(s): 43838b1

Add SetFit model

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Files changed (3) hide show
  1. README.md +47 -48
  2. model.safetensors +1 -1
  3. model_head.pkl +1 -1
README.md CHANGED
@@ -34,7 +34,7 @@ model-index:
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  split: test
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  metrics:
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  - type: accuracy
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- value: 0.561665726640346
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  name: Accuracy
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  ---
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@@ -70,7 +70,7 @@ The model has been trained using an efficient few-shot learning technique that i
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  ### Metrics
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  | Label | Accuracy |
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  |:--------|:---------|
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- | **all** | 0.5617 |
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  ## Uses
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@@ -122,7 +122,7 @@ preds = model("\" link thanks for fixing that disambiguation link on usher's
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  ### Training Set Metrics
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  | Training set | Min | Median | Max |
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  |:-------------|:----|:--------|:----|
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- | Word count | 3 | 44.6607 | 426 |
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  ### Training Hyperparameters
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  - batch_size: (1, 1)
@@ -145,51 +145,50 @@ preds = model("\" link thanks for fixing that disambiguation link on usher's
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  ### Training Results
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  | Epoch | Step | Training Loss | Validation Loss |
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  |:------:|:----:|:-------------:|:---------------:|
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- | 0.0071 | 1 | 0.5784 | - |
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- | 0.0223 | 50 | 0.0217 | - |
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- | 0.0446 | 100 | 0.009 | - |
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- | 0.0670 | 150 | 0.0093 | - |
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- | 0.0893 | 200 | 0.0319 | - |
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- | 0.1116 | 250 | 0.0 | - |
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- | 0.1339 | 300 | 0.0007 | - |
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- | 0.1562 | 350 | 0.001 | - |
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- | 0.1786 | 400 | 0.0002 | - |
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- | 0.2009 | 450 | 0.0025 | - |
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- | 0.2232 | 500 | 0.0 | - |
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- | 0.2455 | 550 | 0.0002 | - |
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- | 0.2679 | 600 | 0.0015 | - |
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- | 0.2902 | 650 | 0.0002 | - |
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- | 0.3125 | 700 | 0.2228 | - |
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- | 0.3348 | 750 | 0.0 | - |
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- | 0.3571 | 800 | 0.0001 | - |
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- | 0.3795 | 850 | 0.0012 | - |
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- | 0.4018 | 900 | 0.0001 | - |
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- | 0.4241 | 950 | 0.0 | - |
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- | 0.4464 | 1000 | 0.0006 | - |
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- | 0.4688 | 1050 | 0.0 | - |
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- | 0.4911 | 1100 | 0.0001 | - |
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- | 0.5134 | 1150 | 0.0 | - |
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- | 0.5357 | 1200 | 0.0002 | - |
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- | 0.5580 | 1250 | 0.0001 | - |
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- | 0.5804 | 1300 | 0.0 | - |
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- | 0.6027 | 1350 | 0.0089 | - |
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- | 0.625 | 1400 | 0.0 | - |
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- | 0.6473 | 1450 | 0.0001 | - |
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- | 0.6696 | 1500 | 0.0 | - |
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- | 0.6920 | 1550 | 0.0003 | - |
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- | 0.7143 | 1600 | 0.0003 | - |
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- | 0.7366 | 1650 | 0.0001 | - |
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- | 0.7589 | 1700 | 0.0001 | - |
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- | 0.7812 | 1750 | 0.0 | - |
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- | 0.8036 | 1800 | 0.0 | - |
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- | 0.8259 | 1850 | 0.0 | - |
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- | 0.8482 | 1900 | 0.0002 | - |
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- | 0.8705 | 1950 | 0.0 | - |
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- | 0.8929 | 2000 | 0.0038 | - |
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- | 0.9152 | 2050 | 0.0 | - |
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- | 0.9375 | 2100 | 0.0001 | - |
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- | 0.9598 | 2150 | 0.0185 | - |
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- | 0.9821 | 2200 | 0.0003 | - |
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  ### Framework Versions
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  - Python: 3.11.7
 
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  split: test
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  metrics:
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  - type: accuracy
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+ value: 0.8041298489691044
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  name: Accuracy
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  ---
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  ### Metrics
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  | Label | Accuracy |
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  |:--------|:---------|
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+ | **all** | 0.8041 |
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  ## Uses
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  ### Training Set Metrics
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  | Training set | Min | Median | Max |
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  |:-------------|:----|:--------|:----|
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+ | Word count | 3 | 69.1481 | 898 |
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  ### Training Hyperparameters
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  - batch_size: (1, 1)
 
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  ### Training Results
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  | Epoch | Step | Training Loss | Validation Loss |
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  |:------:|:----:|:-------------:|:---------------:|
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+ | 0.0005 | 1 | 0.2094 | - |
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+ | 0.0231 | 50 | 0.033 | - |
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+ | 0.0463 | 100 | 0.0439 | - |
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+ | 0.0694 | 150 | 0.001 | - |
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+ | 0.0926 | 200 | 0.0245 | - |
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+ | 0.1157 | 250 | 0.0008 | - |
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+ | 0.1389 | 300 | 0.0001 | - |
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+ | 0.1620 | 350 | 0.0 | - |
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+ | 0.1852 | 400 | 0.0012 | - |
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+ | 0.2083 | 450 | 0.0 | - |
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+ | 0.2315 | 500 | 0.0002 | - |
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+ | 0.2546 | 550 | 0.0006 | - |
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+ | 0.2778 | 600 | 0.002 | - |
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+ | 0.3009 | 650 | 0.0044 | - |
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+ | 0.3241 | 700 | 0.0015 | - |
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+ | 0.3472 | 750 | 0.0007 | - |
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+ | 0.3704 | 800 | 0.0001 | - |
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+ | 0.3935 | 850 | 0.0001 | - |
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+ | 0.4167 | 900 | 0.0001 | - |
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+ | 0.4398 | 950 | 0.0004 | - |
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+ | 0.4630 | 1000 | 0.0001 | - |
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+ | 0.4861 | 1050 | 0.0001 | - |
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+ | 0.5093 | 1100 | 0.0 | - |
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+ | 0.5324 | 1150 | 0.0052 | - |
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+ | 0.5556 | 1200 | 0.0002 | - |
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+ | 0.5787 | 1250 | 0.0 | - |
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+ | 0.6019 | 1300 | 0.0003 | - |
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+ | 0.625 | 1350 | 0.0 | - |
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+ | 0.6481 | 1400 | 0.0001 | - |
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+ | 0.6713 | 1450 | 0.0 | - |
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+ | 0.6944 | 1500 | 0.0 | - |
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+ | 0.7176 | 1550 | 0.0 | - |
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+ | 0.7407 | 1600 | 0.0002 | - |
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+ | 0.7639 | 1650 | 0.0001 | - |
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+ | 0.7870 | 1700 | 0.0011 | - |
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+ | 0.8102 | 1750 | 0.0001 | - |
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+ | 0.8333 | 1800 | 0.0 | - |
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+ | 0.8565 | 1850 | 0.0001 | - |
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+ | 0.8796 | 1900 | 0.0006 | - |
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+ | 0.9028 | 1950 | 0.0002 | - |
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+ | 0.9259 | 2000 | 0.0002 | - |
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+ | 0.9491 | 2050 | 0.0 | - |
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+ | 0.9722 | 2100 | 0.0001 | - |
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+ | 0.9954 | 2150 | 0.0 | - |
 
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  ### Framework Versions
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  - Python: 3.11.7
model.safetensors CHANGED
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model_head.pkl CHANGED
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