Add SetFit model

README.md

@@ -8,14 +8,11 @@ tags:
 metrics:
 - accuracy
 widget:
-- text: Sarah has 10 stickers. She gives 3 to her friend. What fraction of her stickers
-    did Sarah give away?
-- text: If you have 8 apples and you eat 3 of them, how many apples do you have left?
-- text: 'What simple strategy could you use to solve this word problem: ''Mike had
-    9 candies...'''
-- text: If you have 20 marbles and you give 5 of them to your friend, how many marbles
-    do you have left?
-- text: What is the name of the holiday that celebrates workers in September?
+- text: Can you name three different types of weather?
+- text: Which state is known as the Sunshine State?
+- text: If a dozen eggs cost $3, how much do 3 dozen eggs cost?
+- text: What is the name of the mountain range on the west coast?
+- text: Can you name two different habitats where animals live?
 pipeline_tag: text-classification
 inference: true
 base_model: sentence-transformers/all-MiniLM-L6-v2
@@ -63,10 +60,10 @@ The model has been trained using an efficient few-shot learning technique that i
 - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
 
 ### Model Labels
-| Label    | Examples                                                                                                                                                                                                                                                                                                      |
-|:---------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| math     | <ul><li>'There are 10 frogs on a log. Some frogs jumped off and now there are 6 frogs left. How can you show this using an equation?'</li><li>'Sarah has 9 stickers. She gives 3 stickers to her brother. How many stickers does Sarah have left?'</li><li>'Which 3D shape has one curved surface?'</li></ul> |
-| non_math | <ul><li>'What is the currency used in Japan?'</li><li>'What do you call a baby kangaroo?'</li><li>'What is the capital city of Canada, our neighbor to the north?'</li></ul>                                                                                                                                  |
+| Label    | Examples                                                                                                                                                                                                               |
+|:---------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| math     | <ul><li>'Which is more: 7 or 9?'</li><li>"How can you measure the amount of liquid in a cup if you don't have a measuring cup?"</li><li>'What is the name of a shape with 5 equal sides and 5 equal angles?'</li></ul> |
+| non_math | <ul><li>'Can you name two different holidays celebrated in the springtime?'</li><li>'Who discovered gravity?'</li><li>'Energy'</li></ul>                                                                               |
 
 ## Evaluation
 
@@ -93,7 +90,7 @@ from setfit import SetFitModel
 # Download from the 🤗 Hub
 model = SetFitModel.from_pretrained("serdarcaglar/primary-school-math-question")
 # Run inference
-preds = model("What is the name of the holiday that celebrates workers in September?")
+preds = model("Which state is known as the Sunshine State?")
 ```
 
 <!--
@@ -123,14 +120,14 @@ preds = model("What is the name of the holiday that celebrates workers in Septem
 ## Training Details
 
 ### Training Set Metrics
-| Training set | Min | Median | Max |
-|:-------------|:----|:-------|:----|
-| Word count   | 3   | 13.765 | 33  |
+| Training set | Min | Median  | Max |
+|:-------------|:----|:--------|:----|
+| Word count   | 1   | 12.5232 | 33  |
 
 | Label    | Training Sample Count |
 |:---------|:----------------------|
 | math     | 141                   |
-| non_math | 59                    |
+| non_math | 96                    |
 
 ### Training Hyperparameters
 - batch_size: (16, 16)
@@ -151,19 +148,20 @@ preds = model("What is the name of the holiday that celebrates workers in Septem
 - load_best_model_at_end: False
 
 ### Training Results
-| Epoch | Step | Training Loss | Validation Loss |
-|:-----:|:----:|:-------------:|:---------------:|
-| 0.002 | 1    | 0.3356        | -               |
-| 0.1   | 50   | 0.0577        | -               |
-| 0.2   | 100  | 0.0053        | -               |
-| 0.3   | 150  | 0.0025        | -               |
-| 0.4   | 200  | 0.0016        | -               |
-| 0.5   | 250  | 0.0008        | -               |
-| 0.6   | 300  | 0.0003        | -               |
-| 0.7   | 350  | 0.0005        | -               |
-| 0.8   | 400  | 0.0006        | -               |
-| 0.9   | 450  | 0.0005        | -               |
-| 1.0   | 500  | 0.0009        | -               |
+| Epoch  | Step | Training Loss | Validation Loss |
+|:------:|:----:|:-------------:|:---------------:|
+| 0.0017 | 1    | 0.3751        | -               |
+| 0.0843 | 50   | 0.1394        | -               |
+| 0.1686 | 100  | 0.0114        | -               |
+| 0.2530 | 150  | 0.0045        | -               |
+| 0.3373 | 200  | 0.0026        | -               |
+| 0.4216 | 250  | 0.0023        | -               |
+| 0.5059 | 300  | 0.0014        | -               |
+| 0.5902 | 350  | 0.0014        | -               |
+| 0.6745 | 400  | 0.0004        | -               |
+| 0.7589 | 450  | 0.0008        | -               |
+| 0.8432 | 500  | 0.0007        | -               |
+| 0.9275 | 550  | 0.0008        | -               |
 
 ### Framework Versions
 - Python: 3.10.12

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "serdarcaglar/primary-school-math-question",
+  "_name_or_path": "sentence-transformers/all-MiniLM-L6-v2",
   "architectures": [
     "BertModel"
   ],

model.safetensors

@@ -1,3 +1,3 @@
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model_head.pkl

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 size 3967