diff --git "a/README.md" "b/README.md"
--- "a/README.md"
+++ "b/README.md"
@@ -10,11 +10,11 @@ tags:
- text-classification
- generated_from_setfit_trainer
widget:
-- text: Good morning
-- text: how does the recommendation system work on this platform
-- text: who are you
-- text: where is the search bar
-- text: how can I find courses related to programming
+- text: A plus tard
+- text: what are microlearning modules
+- text: what are the advantages of e-learning over traditional learning
+- text: Salut
+- text: The user experience could be improved.
inference: true
model-index:
- name: SetFit with sentence-transformers/all-MiniLM-L6-v2
@@ -28,7 +28,7 @@ model-index:
split: test
metrics:
- type: accuracy
- value: 0.8333333333333334
+ value: 0.8571428571428571
name: Accuracy
---
@@ -48,7 +48,7 @@ The model has been trained using an efficient few-shot learning technique that i
- **Sentence Transformer body:** [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2)
- **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
- **Maximum Sequence Length:** 256 tokens
-- **Number of Classes:** 6 classes
+- **Number of Classes:** 7 classes
@@ -60,21 +60,22 @@ 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 |
-|:--------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| general-questions | - 'can you explain the concept of cloud computing'
- 'how do I assess my skills after completing a course'
- 'what is the significance of feedback in online learning'
|
-| website-information | - 'how to access the dashboard'
- 'where can I see my completed courses'
- 'where can I find notifications'
|
-| greet-who_are_you | - "pourquoi j'ai besoin de toi"
- 'help please'
- 'I can not understand you'
|
-| recommendations | - 'how do I get recommendations based on my interests'
- 'can you recommend advanced courses in data science'
- 'what courses are trending in web development'
|
-| greet-hi | |
-| greet-good_bye | - 'sortir'
- 'A plus tard'
- 'See you later'
|
+| Label | Examples |
+|:--------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| recommendations | - 'how do I find trending courses'
- 'what are some popular courses right now'
- 'what courses are good for remote working skills'
|
+| feedback | - "I didn't find the answers I was looking for."
- 'I find the website confusing to navigate.'
- 'The chatbot gave incorrect information.'
|
+| website-information | - 'how can I access my bookmarks'
- 'how do I edit my profile'
- 'where can I find notifications'
|
+| general-questions | - 'can you explain the concept of cloud computing'
- 'what is the role of peer reviews in online courses'
- 'can you explain the difference between synchronous and asynchronous learning'
|
+| greet-good_bye | - 'exit'
- 'au revoir'
- 'sortir'
|
+| greet-who_are_you | - 'help please'
- 'how can you help me'
- 'qui êtes-vous'
|
+| greet-hi | - 'Hello buddy'
- 'Hi'
- 'Salut mon ami'
|
## Evaluation
### Metrics
| Label | Accuracy |
|:--------|:---------|
-| **all** | 0.8333 |
+| **all** | 0.8571 |
## Uses
@@ -94,7 +95,7 @@ from setfit import SetFitModel
# Download from the 🤗 Hub
model = SetFitModel.from_pretrained("HussienAhmad/SFT_GradProject")
# Run inference
-preds = model("who are you")
+preds = model("Salut")
```