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Add SetFit model

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Files changed (3) hide show
  1. README.md +15 -13
  2. model.safetensors +1 -1
  3. model_head.pkl +1 -1
README.md CHANGED
@@ -9,10 +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: acquirer growth affects m & a success
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- - text: board size affects ceo pay
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- - text: market orientation affects entrepreneurship intention
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- - text: option sales taxes and fiscal affects ceo pay
 
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  pipeline_tag: text-classification
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  inference: true
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  ---
@@ -45,10 +46,10 @@ 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>'option sales taxes and fiscal affects ceo pay'</li><li>'market orientation affects entrepreneurship intention'</li></ul> |
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- | 1 | <ul><li>'board size affects ceo pay'</li><li>'acquirer growth affects m & a success'</li></ul> |
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  ## Uses
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@@ -68,7 +69,7 @@ from setfit import SetFitModel
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  # Download from the 🤗 Hub
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  model = SetFitModel.from_pretrained("abehandler/setfit")
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  # Run inference
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- preds = model("board size affects ceo pay")
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  ```
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  <!--
@@ -100,12 +101,12 @@ preds = model("board size affects ceo pay")
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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 | 5 | 6.25 | 8 |
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  | Label | Training Sample Count |
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  |:------|:----------------------|
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- | 0 | 2 |
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- | 1 | 2 |
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  ### Training Hyperparameters
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  - batch_size: (32, 32)
@@ -127,7 +128,8 @@ preds = model("board size affects ceo pay")
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  ### Training Results
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  | Epoch | Step | Training Loss | Validation Loss |
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  |:-----:|:----:|:-------------:|:---------------:|
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- | 1.0 | 1 | 0.2472 | - |
 
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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: variables affects cost of debt
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+ - text: variables affects cost of debt
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+ - text: personal attitude affects entrepreneurship intention
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+ - text: positive emotionality affects enterprise systems success
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+ - text: video affects firm performance
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  pipeline_tag: text-classification
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  inference: true
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  ---
 
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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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+ | 1 | <ul><li>'ease of use affects enterprise systems success'</li><li>'acquirer growth affects m & a success'</li><li>'high yield affects cost of debt'</li></ul> |
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+ | 0 | <ul><li>'option sales taxes and fiscal affects ceo pay'</li><li>'variables affects cost of debt'</li><li>'market orientation affects entrepreneurship intention'</li></ul> |
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  ## Uses
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  # Download from the 🤗 Hub
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  model = SetFitModel.from_pretrained("abehandler/setfit")
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  # Run inference
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+ preds = model("variables affects cost of debt")
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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 | 5.5 | 8 |
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  | Label | Training Sample Count |
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  |:------|:----------------------|
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+ | 0 | 7 |
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+ | 1 | 9 |
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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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+ | 0.2 | 1 | 0.2372 | - |
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+ | 10.0 | 50 | 0.1078 | - |
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  ### Framework Versions
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  - Python: 3.10.12
model.safetensors CHANGED
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