Add SetFit model

README.md

@@ -20,20 +20,6 @@ widget:
 pipeline_tag: text-classification
 inference: true
 base_model: intfloat/multilingual-e5-large
-model-index:
-- name: SetFit with intfloat/multilingual-e5-large
-  results:
-  - task:
-      type: text-classification
-      name: Text Classification
-    dataset:
-      name: Unknown
-      type: unknown
-      split: test
-    metrics:
-    - type: accuracy
-      value: 0.9130434782608695
-      name: Accuracy
 ---
 
 # SetFit with intfloat/multilingual-e5-large
@@ -64,18 +50,11 @@ 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                                                                                                                                                                                                                                                                                                                                       |
-|:------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| 2.0   | <ul><li>'Are there particular factors or trends contributing to the high level of cannibalization for certain brands in the SS category?'</li><li>'How is the TL performed with respect to volume Lift for Zucaritas in 2022?'</li><li>'Which category is more sensititive to internal cannibalization?'</li></ul>                             |
-| 1.0   | <ul><li>'Are there plans to enhance promotional activities specific to the MT to mitigate the ROI decline in 2023?'</li><li>'Can you provide a detailed analysis of the categories that experienced the highest and lowest ROI changes from 2021 to 2022?'</li><li>'Why has the overall Lift declined in 2023 in Zucaritas vs 2022?'</li></ul> |
-| 0.0   | <ul><li>'Which sku_group have seen the highest Lifts for Promo Price in MT WS catg_nm in 2022?'</li><li>'Which channel has the max ROI and Vol Lift when we run the Promotion for RTEC category?'</li><li>'How is the promotion efficacy in 2022 compared to 2021 for RTEC category and BARS subcategory? '</li></ul>                          |
-
-## Evaluation
-
-### Metrics
-| Label   | Accuracy |
-|:--------|:---------|
-| **all** | 0.9130   |
+| Label | Examples                                                                                                                                                                                                                                                                                                                                                                                      |
+|:------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| 2     | <ul><li>'Are there particular factors or trends contributing to the high level of cannibalization for certain brands in the SS category?'</li><li>'How does the degree of cannibalization vary among different SKUs in the RTEC ?'</li><li>'Which Sku cannibalizes higher margin Skus the most?'</li></ul>                                                                                    |
+| 1     | <ul><li>'Are there plans to enhance promotional activities specific to the MT to mitigate the ROI decline in 2023?'</li><li>'What are the main reasons for ROI decline in 2022 in MT compared to 2021?'</li><li>'Are there changes in consumer preferences or trends that have impacted the Lift of Zucaritas, and how does this compare to other brands like Pringles or Frutela?'</li></ul> |
+| 0     | <ul><li>'What type of promotions worked best for MT Walmart in 2022?'</li><li>'Which channel has the max ROI and Vol Lift when we run the Promotion for RTEC category?'</li><li>'Which sub_catg_nm have the highest ROI in 2022?'</li></ul>                                                                                                                                                   |
 
 ## Uses
 
@@ -127,13 +106,13 @@ preds = model("Which Sku cannibalizes higher margin Skus the most for CHEDRAUI c
 ### Training Set Metrics
 | Training set | Min | Median  | Max |
 |:-------------|:----|:--------|:----|
-| Word count   | 8   | 16.1333 | 30  |
+| Word count   | 7   | 15.8333 | 30  |
 
 | Label | Training Sample Count |
 |:------|:----------------------|
-| 0.0   | 10                    |
-| 1.0   | 10                    |
-| 2.0   | 10                    |
+| 0     | 10                    |
+| 1     | 10                    |
+| 2     | 10                    |
 
 ### Training Hyperparameters
 - batch_size: (16, 16)
@@ -153,15 +132,6 @@ preds = model("Which Sku cannibalizes higher margin Skus the most for CHEDRAUI c
 - eval_max_steps: -1
 - load_best_model_at_end: False
 
-### Training Results
-| Epoch  | Step | Training Loss | Validation Loss |
-|:------:|:----:|:-------------:|:---------------:|
-| 0.0133 | 1    | 0.3648        | -               |
-| 0.6667 | 50   | 0.0031        | -               |
-| 1.3333 | 100  | 0.0006        | -               |
-| 2.0    | 150  | 0.0003        | -               |
-| 2.6667 | 200  | 0.0003        | -               |
-
 ### Framework Versions
 - Python: 3.10.12
 - SetFit: 1.0.3

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:b97ef8b3fe70ff51008184da99b70a0df37ed377bb538a224f3951f2ed388234
 size 2239607176

model_head.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 25439
+oid sha256:95a2349eb3f96eb70d9185b2f02af4ffabe28566b0bbeda0ad56312e9e6879cb
+size 324