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README.md

@@ -34,7 +34,7 @@ The model has been trained using an efficient few-shot learning technique that i
 - **Sentence Transformer body:** [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2)
 - **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
 - **Maximum Sequence Length:** 512 tokens
-- **Number of Classes:** 11 classes
+- **Number of Classes:** 10 classes
 <!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
 <!-- - **Language:** Unknown -->
 <!-- - **License:** Unknown -->
@@ -48,14 +48,13 @@ The model has been trained using an efficient few-shot learning technique that i
 ### Model Labels
 | Label | Examples                                                                                                                           |
 |:------|:-----------------------------------------------------------------------------------------------------------------------------------|
-| 6     | <ul><li>'Why did my payment fail?'</li><li>'Why is my payment not processing?'</li><li>'What are common payment issues?'</li></ul> |
+| 5     | <ul><li>'Why did my payment fail?'</li><li>'Why is my payment not processing?'</li><li>'What are common payment issues?'</li></ul> |
 | 0     | <ul><li>'Your products are not good'</li><li>'Your service is bad'</li></ul>                                                       |
-| 8     | <ul><li>'Good Bye'</li><li>'Take care'</li><li>'Bye'</li></ul>                                                                     |
-| 9     | <ul><li>'Thanks'</li></ul>                                                                                                         |
-| 10    | <ul><li>'23234dfdff'</li><li>'abc'</li><li>'djfnknf'</li></ul>                                                                     |
-| 4     | <ul><li>'My order ref is '</li><li>'Order Ref is C-123-P'</li><li>'Order id is C-123-P'</li></ul>                                  |
-| 5     | <ul><li>'How can I track my order?'</li><li>'When will my order arrive?'</li><li>"I didn't receive my COD points"</li></ul>        |
-| 7     | <ul><li>'What is your refund policy?'</li><li>'How can I get a refund?'</li></ul>                                                  |
+| 7     | <ul><li>'Good Bye'</li><li>'Take care'</li><li>'Bye'</li></ul>                                                                     |
+| 8     | <ul><li>'Thanks'</li></ul>                                                                                                         |
+| 9     | <ul><li>'23234dfdff'</li><li>'abc'</li><li>'djfnknf'</li></ul>                                                                     |
+| 4     | <ul><li>'My order ref is '</li><li>'How can I track my order?'</li><li>'Order Ref is C-123-P'</li></ul>                            |
+| 6     | <ul><li>'What is your refund policy?'</li><li>'How can I get a refund?'</li></ul>                                                  |
 | 3     | <ul><li>'order email'</li><li>'resend order email'</li><li>'I didnt receive my order email'</li></ul>                              |
 | 2     | <ul><li>'How are you'</li></ul>                                                                                                    |
 | 1     | <ul><li>'Hi'</li><li>'Wassup'</li><li>'Hello'</li></ul>                                                                            |
@@ -118,13 +117,12 @@ preds = model("Bye")
 | 1     | 3                     |
 | 2     | 1                     |
 | 3     | 3                     |
-| 4     | 5                     |
-| 5     | 7                     |
-| 6     | 3                     |
-| 7     | 2                     |
-| 8     | 3                     |
-| 9     | 1                     |
-| 10    | 8                     |
+| 4     | 12                    |
+| 5     | 3                     |
+| 6     | 2                     |
+| 7     | 3                     |
+| 8     | 1                     |
+| 9     | 8                     |
 
 ### Training Hyperparameters
 - batch_size: (16, 16)
@@ -148,16 +146,16 @@ preds = model("Bye")
 ### Training Results
 | Epoch  | Step | Training Loss | Validation Loss |
 |:------:|:----:|:-------------:|:---------------:|
-| 0.0105 | 1    | 0.3591        | -               |
-| 0.5263 | 50   | 0.1235        | -               |
-| 1.0526 | 100  | 0.0233        | -               |
-| 1.5789 | 150  | 0.0057        | -               |
-| 2.1053 | 200  | 0.0032        | -               |
-| 2.6316 | 250  | 0.0025        | -               |
+| 0.0105 | 1    | 0.2387        | -               |
+| 0.5263 | 50   | 0.1358        | -               |
+| 1.0526 | 100  | 0.0206        | -               |
+| 1.5789 | 150  | 0.0048        | -               |
+| 2.1053 | 200  | 0.0037        | -               |
+| 2.6316 | 250  | 0.0023        | -               |
 | 3.1579 | 300  | 0.002         | -               |
 | 3.6842 | 350  | 0.0017        | -               |
-| 4.2105 | 400  | 0.0019        | -               |
-| 4.7368 | 450  | 0.0016        | -               |
+| 4.2105 | 400  | 0.0024        | -               |
+| 4.7368 | 450  | 0.0015        | -               |
 
 ### Framework Versions
 - Python: 3.10.13

config_setfit.json

@@ -1,4 +1,4 @@
 {
-  "labels": null,
-  "normalize_embeddings": false
+  "normalize_embeddings": false,
+  "labels": null
 }

model.safetensors

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

@@ -1,3 +1,3 @@
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