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abehandlerorg
/
setfit

Text Classification
setfit
Safetensors
sentence-transformers
bert
generated_from_setfit_trainer
Eval Results
Model card Files Community
abehandler commited on
Commit
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1 Parent(s): 13126a7

Push model using huggingface_hub.

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Files changed (3) hide show
  1. README.md +160 -161
  2. model.safetensors +1 -1
  3. model_head.pkl +1 -1
README.md CHANGED
@@ -9,12 +9,11 @@ base_model: BAAI/bge-small-en-v1.5
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  metrics:
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  - accuracy
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  widget:
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- - text: approach affects entrepreneurship intention
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- - text: innovation affects m & a success
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- - text: total retail sales affects m & a success
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- - text: stimulation of the sales staff in business organization affects entrepreneurship
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- intention
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- - text: country-level economy affects ceo pay
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  pipeline_tag: text-classification
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  inference: true
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  model-index:
@@ -29,7 +28,7 @@ model-index:
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  split: test
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  metrics:
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  - type: accuracy
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- value: 0.8117647058823529
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  name: Accuracy
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  ---
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@@ -61,17 +60,17 @@ The model has been trained using an efficient few-shot learning technique that i
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  - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
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  ### Model Labels
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- | Label | Examples |
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- |:------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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- | 0 | <ul><li>'oecd affects ceo pay'</li><li>'marketing and sales affects entrepreneurship intention'</li><li>'australian research affects entrepreneurship intention'</li></ul> |
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- | 1 | <ul><li>'academic performance affects entrepreneurship intention'</li><li>'collectivism affects entrepreneurship intention'</li><li>'responsibility affects ceo pay'</li></ul> |
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  ## Evaluation
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  ### Metrics
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  | Label | Accuracy |
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  |:--------|:---------|
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- | **all** | 0.8118 |
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  ## Uses
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@@ -91,7 +90,7 @@ from setfit import SetFitModel
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  # Download from the 🤗 Hub
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  model = SetFitModel.from_pretrained("abehandlerorg/setfit")
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  # Run inference
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- preds = model("innovation affects m & a success")
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  ```
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  <!--
@@ -123,12 +122,12 @@ preds = model("innovation affects m & a success")
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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 | 4 | 5.4661 | 13 |
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  | Label | Training Sample Count |
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  |:------|:----------------------|
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- | 0 | 164 |
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- | 1 | 175 |
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  ### Training Hyperparameters
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  - batch_size: (32, 32)
@@ -150,151 +149,151 @@ preds = model("innovation affects m & a success")
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  ### Training Results
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  | Epoch | Step | Training Loss | Validation Loss |
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  |:------:|:----:|:-------------:|:---------------:|
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- | 0.0006 | 1 | 0.303 | - |
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- | 0.0276 | 50 | 0.2825 | - |
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- | 0.0553 | 100 | 0.2567 | - |
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- | 0.0829 | 150 | 0.2345 | - |
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- | 0.1106 | 200 | 0.2347 | - |
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- | 0.1382 | 250 | 0.1693 | - |
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- | 0.1658 | 300 | 0.0862 | - |
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- | 0.1935 | 350 | 0.0184 | - |
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- | 0.2211 | 400 | 0.0042 | - |
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- | 0.2488 | 450 | 0.0042 | - |
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- | 0.2764 | 500 | 0.0263 | - |
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- | 0.3040 | 550 | 0.0019 | - |
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- | 0.3317 | 600 | 0.0058 | - |
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- | 0.3593 | 650 | 0.0095 | - |
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- | 0.3870 | 700 | 0.0011 | - |
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- | 0.4146 | 750 | 0.0012 | - |
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- | 0.4422 | 800 | 0.0009 | - |
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- | 0.4699 | 850 | 0.0011 | - |
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- | 0.4975 | 900 | 0.001 | - |
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- | 0.5252 | 950 | 0.0215 | - |
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- | 0.5528 | 1000 | 0.0024 | - |
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- | 0.5804 | 1050 | 0.0034 | - |
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- | 0.6081 | 1100 | 0.0008 | - |
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- | 0.6357 | 1150 | 0.0161 | - |
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- | 0.6633 | 1200 | 0.0132 | - |
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- | 0.6910 | 1250 | 0.0009 | - |
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- | 0.7186 | 1300 | 0.0073 | - |
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- | 0.7463 | 1350 | 0.0089 | - |
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- | 0.7739 | 1400 | 0.0166 | - |
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- | 0.8015 | 1450 | 0.0005 | - |
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- | 0.8292 | 1500 | 0.0005 | - |
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- | 0.8568 | 1550 | 0.0006 | - |
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- | 0.8845 | 1600 | 0.0098 | - |
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- | 0.9121 | 1650 | 0.0005 | - |
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- | 0.9397 | 1700 | 0.0005 | - |
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- | 0.9674 | 1750 | 0.0263 | - |
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- | 0.9950 | 1800 | 0.0006 | - |
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- | 1.0227 | 1850 | 0.0005 | - |
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- | 1.0503 | 1900 | 0.0089 | - |
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- | 1.0779 | 1950 | 0.0074 | - |
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- | 1.1056 | 2000 | 0.0057 | - |
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- | 1.1332 | 2050 | 0.0006 | - |
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- | 1.1609 | 2100 | 0.0004 | - |
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- | 1.1885 | 2150 | 0.0004 | - |
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- | 1.2161 | 2200 | 0.0006 | - |
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- | 1.2438 | 2250 | 0.0005 | - |
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- | 1.2714 | 2300 | 0.0004 | - |
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- | 1.2991 | 2350 | 0.0088 | - |
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- | 1.3267 | 2400 | 0.0004 | - |
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- | 1.3543 | 2450 | 0.0005 | - |
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- | 1.3820 | 2500 | 0.0004 | - |
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- | 1.4096 | 2550 | 0.0118 | - |
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- | 1.4373 | 2600 | 0.0004 | - |
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- | 1.4649 | 2650 | 0.0149 | - |
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- | 1.4925 | 2700 | 0.0004 | - |
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- | 1.5202 | 2750 | 0.0004 | - |
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- | 1.5478 | 2800 | 0.0003 | - |
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- | 1.5755 | 2850 | 0.0004 | - |
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- | 1.6031 | 2900 | 0.0004 | - |
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- | 1.6307 | 2950 | 0.0136 | - |
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- | 1.6584 | 3000 | 0.0083 | - |
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- | 1.6860 | 3050 | 0.0094 | - |
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- | 1.7137 | 3100 | 0.0088 | - |
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- | 1.7413 | 3150 | 0.0004 | - |
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- | 1.7689 | 3200 | 0.0003 | - |
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- | 1.7966 | 3250 | 0.0004 | - |
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- | 1.8242 | 3300 | 0.0004 | - |
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- | 1.8519 | 3350 | 0.0101 | - |
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- | 1.8795 | 3400 | 0.0112 | - |
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- | 1.9071 | 3450 | 0.0003 | - |
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- | 1.9348 | 3500 | 0.0117 | - |
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- | 1.9624 | 3550 | 0.0003 | - |
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- | 1.9900 | 3600 | 0.0003 | - |
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- | 2.0177 | 3650 | 0.0003 | - |
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- | 2.0453 | 3700 | 0.0083 | - |
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- | 2.0730 | 3750 | 0.0003 | - |
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- | 2.1006 | 3800 | 0.0132 | - |
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- | 2.1282 | 3850 | 0.0003 | - |
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- | 2.1559 | 3900 | 0.0003 | - |
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- | 2.1835 | 3950 | 0.0003 | - |
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- | 2.2112 | 4000 | 0.0004 | - |
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- | 2.2388 | 4050 | 0.0003 | - |
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- | 2.2664 | 4100 | 0.0003 | - |
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- | 2.2941 | 4150 | 0.0003 | - |
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- | 2.3217 | 4200 | 0.0003 | - |
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- | 2.3494 | 4250 | 0.0003 | - |
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- | 2.3770 | 4300 | 0.0079 | - |
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- | 2.4046 | 4350 | 0.0003 | - |
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- | 2.4323 | 4400 | 0.0003 | - |
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- | 2.4599 | 4450 | 0.0003 | - |
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- | 2.4876 | 4500 | 0.0057 | - |
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- | 2.5152 | 4550 | 0.0003 | - |
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- | 2.5428 | 4600 | 0.0003 | - |
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- | 2.5705 | 4650 | 0.0003 | - |
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- | 2.5981 | 4700 | 0.0003 | - |
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- | 2.6258 | 4750 | 0.0003 | - |
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- | 2.6534 | 4800 | 0.0003 | - |
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- | 2.6810 | 4850 | 0.0003 | - |
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- | 2.7087 | 4900 | 0.0003 | - |
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- | 2.7363 | 4950 | 0.0003 | - |
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- | 2.7640 | 5000 | 0.0019 | - |
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- | 2.7916 | 5050 | 0.0157 | - |
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- | 2.8192 | 5100 | 0.0003 | - |
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- | 2.8469 | 5150 | 0.0098 | - |
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- | 3.0127 | 5450 | 0.0002 | - |
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- | 3.0956 | 5600 | 0.0159 | - |
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- | 3.1233 | 5650 | 0.0003 | - |
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- | 3.1509 | 5700 | 0.0053 | - |
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- | 3.1786 | 5750 | 0.0003 | - |
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- | 3.3444 | 6050 | 0.0092 | - |
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- | 3.3720 | 6100 | 0.0153 | - |
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- | 3.4273 | 6200 | 0.0002 | - |
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- | 3.4549 | 6250 | 0.0002 | - |
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- | 3.4826 | 6300 | 0.0003 | - |
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- | 3.5102 | 6350 | 0.0101 | - |
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- | 3.5379 | 6400 | 0.0003 | - |
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- | 3.5655 | 6450 | 0.0003 | - |
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- | 3.5931 | 6500 | 0.0091 | - |
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- | 3.6208 | 6550 | 0.0002 | - |
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- | 3.6484 | 6600 | 0.0085 | - |
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- | 3.6761 | 6650 | 0.0003 | - |
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- | 3.7037 | 6700 | 0.0002 | - |
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- | 3.7313 | 6750 | 0.0002 | - |
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- | 3.7590 | 6800 | 0.0068 | - |
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- | 3.7866 | 6850 | 0.0003 | - |
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- | 3.8143 | 6900 | 0.0079 | - |
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- | 3.8419 | 6950 | 0.0175 | - |
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- | 3.8695 | 7000 | 0.0066 | - |
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- | 3.8972 | 7050 | 0.0003 | - |
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- | 3.9248 | 7100 | 0.0002 | - |
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- | 3.9525 | 7150 | 0.0065 | - |
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- | 3.9801 | 7200 | 0.0094 | - |
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  ### Framework Versions
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  - Python: 3.10.12
 
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  metrics:
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  - accuracy
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  widget:
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+ - text: sales affects ceo pay
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+ - text: time affects entrepreneurship intention
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+ - text: operations planning affects entrepreneurship intention
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+ - text: entrepreneurial self-efficacy affects entrepreneurship intention
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+ - text: empirical training affects entrepreneurship intention
 
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  pipeline_tag: text-classification
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  inference: true
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  model-index:
 
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  split: test
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  metrics:
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  - type: accuracy
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+ value: 0.9058823529411765
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  name: Accuracy
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  ---
34
 
 
60
  - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
61
 
62
  ### Model Labels
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+ | Label | Examples |
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+ |:------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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+ | 1 | <ul><li>'board diversity affects ceo pay'</li><li>'perceptions of formal learning affects entrepreneurship intention'</li><li>'proactiveness affects entrepreneurship intention'</li></ul> |
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+ | 0 | <ul><li>'sales and takeovers affects entrepreneurship intention'</li><li>'uk affects entrepreneurship intention'</li><li>'economics affects entrepreneurship intention'</li></ul> |
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  ## Evaluation
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  ### Metrics
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  | Label | Accuracy |
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  |:--------|:---------|
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+ | **all** | 0.9059 |
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  ## Uses
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  # Download from the 🤗 Hub
91
  model = SetFitModel.from_pretrained("abehandlerorg/setfit")
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  # Run inference
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+ preds = model("sales affects ceo pay")
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  ```
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  <!--
 
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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 | 4 | 5.4307 | 12 |
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  | Label | Training Sample Count |
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  |:------|:----------------------|
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+ | 0 | 168 |
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+ | 1 | 171 |
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  ### Training Hyperparameters
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  - batch_size: (32, 32)
 
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  ### Training Results
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  | Epoch | Step | Training Loss | Validation Loss |
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  |:------:|:----:|:-------------:|:---------------:|
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+ | 0.0006 | 1 | 0.3133 | - |
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+ | 0.0277 | 50 | 0.289 | - |
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+ | 0.0553 | 100 | 0.2506 | - |
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+ | 0.0830 | 150 | 0.2243 | - |
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+ | 0.1107 | 200 | 0.2388 | - |
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+ | 0.1384 | 250 | 0.2084 | - |
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+ | 0.1660 | 300 | 0.1316 | - |
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+ | 0.1937 | 350 | 0.0142 | - |
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+ | 0.2214 | 400 | 0.0065 | - |
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+ | 0.2490 | 450 | 0.0037 | - |
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+ | 0.2767 | 500 | 0.003 | - |
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+ | 0.3044 | 550 | 0.002 | - |
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+ | 0.3320 | 600 | 0.0018 | - |
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+ | 0.3597 | 650 | 0.0026 | - |
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+ | 0.3874 | 700 | 0.0013 | - |
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+ | 0.4151 | 750 | 0.0012 | - |
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+ | 0.4427 | 800 | 0.0284 | - |
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+ | 0.4704 | 850 | 0.0145 | - |
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+ | 0.4981 | 900 | 0.0053 | - |
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  ### Framework Versions
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  - Python: 3.10.12
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
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+ oid sha256:0f107d989783da0321cc1140454cfee2b9bc4d3c23573c80426975ebb9fc666d
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  size 133462128
model_head.pkl CHANGED
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- oid sha256:b6bfd58619c075a6e8ba28052b168e8e84df72b7676c8476177c8af2f54465d6
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  size 3935
 
1
  version https://git-lfs.github.com/spec/v1
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+ oid sha256:94e1e6cc42de8fabf6240381ffdaad310f6c7c23204ca9775ad2c1a612f212e4
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  size 3935