Shankhdhar
/

classifier_woog_purely_yours

@@ -1,21 +1,23 @@
 ---
 library_name: setfit
 tags:
 - setfit
 - sentence-transformers
 - text-classification
 - generated_from_setfit_trainer
-base_model: sentence-transformers/paraphrase-mpnet-base-v2
-metrics:
-- accuracy
 widget:
-- text: What makeup products do you have for eyes?
-- text: How can I prevent acne if I have oily skin?
-- text: What is the estimated delivery time for orders within the same country?
-- text: Can you recommend a good moisturizer for winter skin care?
-- text: Is the Beachy-Floral-Citrus Mini Eau De Parfum Gift Set suitable for all skin
-    types?
-pipeline_tag: text-classification
 inference: true
 model-index:
 - name: SetFit with sentence-transformers/paraphrase-mpnet-base-v2
@@ -29,7 +31,7 @@ model-index:
       split: test
     metrics:
     - type: accuracy
-      value: 0.9583333333333334
       name: Accuracy
 ---
@@ -61,20 +63,20 @@ 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                                                                                                                                                                                                                                                                                     |
-|:------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| product discoverability | <ul><li>'Can you show me all the products for oily skin?'</li><li>'Do you have any makeup remover?'</li><li>'Can you show me all the products for dark spots?'</li></ul>                                                                                                                     |
-| order tracking          | <ul><li>'What is the estimated delivery time for orders within the same state?'</li><li>'I need to know the status of my recent order. Can you check if it has been dispatched?'</li><li>'I ordered the Cake Decorating Kit 4 days ago, can you provide the tracking information?'</li></ul> |
-| product faq             | <ul><li>'What are the different shades available in the Color Affair Nail Polish Pixie Dust Collection?'</li><li>'Is the Touch-N-Go Lip & Cheek Tint a vegan and cruelty-free product?'</li><li>'Is this product suitable for oily skin?'</li></ul>                                          |
-| general faq             | <ul><li>'How often should I use exfoliants to reduce open pores?'</li><li>'What are the most effective ingredients for treating acne?'</li><li>'Are home remedies effective for severe acne?'</li></ul>                                                                                      |
-| product policy          | <ul><li>'Are your products suitable for sensitive skin?'</li><li>'How can I track my order on the Plum Goodness app?'</li><li>'What is the contact number for customer support?'</li></ul>                                                                                                   |
 ## Evaluation
 ### Metrics
 | Label   | Accuracy |
 |:--------|:---------|
-| **all** | 0.9583   |
 ## Uses
@@ -94,7 +96,7 @@ from setfit import SetFitModel
 # Download from the 🤗 Hub
 model = SetFitModel.from_pretrained("setfit_model_id")
 # Run inference
-preds = model("What makeup products do you have for eyes?")
 ```
 <!--
@@ -126,11 +128,11 @@ preds = model("What makeup products do you have for eyes?")
 ### Training Set Metrics
 | Training set | Min | Median | Max |
 |:-------------|:----|:-------|:----|
-| Word count   | 4   | 11.0   | 24  |
 | Label                   | Training Sample Count |
 |:------------------------|:----------------------|
-| general faq             | 20                    |
 | order tracking          | 24                    |
 | product discoverability | 16                    |
 | product faq             | 24                    |
@@ -156,25 +158,19 @@ preds = model("What makeup products do you have for eyes?")
 ### Training Results
 | Epoch  | Step | Training Loss | Validation Loss |
 |:------:|:----:|:-------------:|:---------------:|
-| 0.0022 | 1    | 0.0832        | -               |
-| 0.1101 | 50   | 0.0046        | -               |
-| 0.2203 | 100  | 0.0002        | -               |
-| 0.3304 | 150  | 0.0029        | -               |
-| 0.4405 | 200  | 0.0001        | -               |
-| 0.5507 | 250  | 0.0005        | -               |
-| 0.6608 | 300  | 0.0001        | -               |
-| 0.7709 | 350  | 0.0001        | -               |
-| 0.8811 | 400  | 0.0001        | -               |
-| 0.9912 | 450  | 0.0001        | -               |
-| 1.1013 | 500  | 0.0001        | -               |
-| 1.2115 | 550  | 0.0001        | -               |
-| 1.3216 | 600  | 0.0001        | -               |
-| 1.4317 | 650  | 0.0001        | -               |
-| 1.5419 | 700  | 0.0002        | -               |
-| 1.6520 | 750  | 0.0001        | -               |
-| 1.7621 | 800  | 0.0001        | -               |
-| 1.8722 | 850  | 0.0001        | -               |
-| 1.9824 | 900  | 0.0001        | -               |
 ### Framework Versions
 - Python: 3.10.16

 ---
+base_model: sentence-transformers/paraphrase-mpnet-base-v2
 library_name: setfit
+metrics:
+- accuracy
+pipeline_tag: text-classification
 tags:
 - setfit
 - sentence-transformers
 - text-classification
 - generated_from_setfit_trainer
 widget:
+- text: What is the expected delivery time for the 10 pack of Cake Boxes to Bhopal?
+- text: I need to know the status of my recent order. Can you check if it has been
+    dispatched?
+- text: My order was supposed to arrive yesterday but it hasn't. Can you check the
+    delivery status for me?
+- text: What options do you have for weight management products?
+- text: My order has been shipped 4 days ago but still not out for delivery. Can you
+    tell how long will it take to deliver?
 inference: true
 model-index:
 - name: SetFit with sentence-transformers/paraphrase-mpnet-base-v2
       split: test
     metrics:
     - type: accuracy
+      value: 1.0
       name: Accuracy
 ---
 - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
 ### Model Labels
+| Label                   | Examples                                                                                                                                                                                                                                                                                      |
+|:------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| product discoverability | <ul><li>'What are the options for dietary wellbeing products?'</li><li>'Do you have any products for weight loss?'</li><li>'What are the available options for male sexual wellness products?'</li></ul>                                                                                      |
+| product faq             | <ul><li>'What are the benefits of using Prost Plus for male sexual wellness?'</li><li>'How does the Eladi skin exfoliator help in reducing acne and blemishes?'</li><li>'What are the ingredients in the Organic Breeaze Brew?'</li></ul>                                                     |
+| order tracking          | <ul><li>'What is the expected delivery time for the Baking Ingredients I ordered?'</li><li>'Do you provide shipping insurance for high-value orders?'</li><li>'My order has been shipped 6 days ago but still not out for delivery. Can you tell how long will it take to deliver?'</li></ul> |
+| general faq             | <ul><li>'What makes Purely Yours products different from other Ayurvedic brands?'</li><li>'How do you ensure the quality and authenticity of your Ayurvedic products?'</li><li>'Can you tell me more about the certifications your products hold?'</li></ul>                                  |
+| product policy          | <ul><li>'What are the delivery charges for orders below INR 500?'</li><li>'How do you use the personal information collected on your website?'</li><li>'Are there any delivery charges for orders above INR 499?'</li></ul>                                                                   |
 ## Evaluation
 ### Metrics
 | Label   | Accuracy |
 |:--------|:---------|
+| **all** | 1.0      |
 ## Uses
 # Download from the 🤗 Hub
 model = SetFitModel.from_pretrained("setfit_model_id")
 # Run inference
+preds = model("What options do you have for weight management products?")
 ```
 <!--
 ### Training Set Metrics
 | Training set | Min | Median | Max |
 |:-------------|:----|:-------|:----|
+| Word count   | 6   | 11.55  | 24  |
 | Label                   | Training Sample Count |
 |:------------------------|:----------------------|
+| general faq             | 4                     |
 | order tracking          | 24                    |
 | product discoverability | 16                    |
 | product faq             | 24                    |
 ### Training Results
 | Epoch  | Step | Training Loss | Validation Loss |
 |:------:|:----:|:-------------:|:---------------:|
+| 0.0033 | 1    | 0.0739        | -               |
+| 0.1656 | 50   | 0.0201        | -               |
+| 0.3311 | 100  | 0.0005        | -               |
+| 0.4967 | 150  | 0.0003        | -               |
+| 0.6623 | 200  | 0.0001        | -               |
+| 0.8278 | 250  | 0.0001        | -               |
+| 0.9934 | 300  | 0.0001        | -               |
+| 1.1589 | 350  | 0.0001        | -               |
+| 1.3245 | 400  | 0.0001        | -               |
+| 1.4901 | 450  | 0.0001        | -               |
+| 1.6556 | 500  | 0.0001        | -               |
+| 1.8212 | 550  | 0.0001        | -               |
+| 1.9868 | 600  | 0.0001        | -               |
 ### Framework Versions
 - Python: 3.10.16

config_setfit.json CHANGED Viewed

@@ -1,10 +1,10 @@
 {
-  "normalize_embeddings": false,
   "labels": [
     "general faq",
     "order tracking",
     "product discoverability",
     "product faq",
     "product policy"
-  ]
 }

 {
   "labels": [
     "general faq",
     "order tracking",
     "product discoverability",
     "product faq",
     "product policy"
+  ],
+  "normalize_embeddings": false
 }

model.safetensors CHANGED Viewed

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