diff --git "a/README.md" "b/README.md"
--- "a/README.md"
+++ "b/README.md"
@@ -1,21 +1,21 @@
---
-base_model: sentence-transformers/all-MiniLM-L6-v2
-library_name: setfit
-metrics:
-- accuracy
-pipeline_tag: text-classification
tags:
- setfit
- sentence-transformers
- text-classification
- generated_from_setfit_trainer
widget:
-- 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.
+- text: The chatbot understood my queries perfectly.
+- text: who are you
+- text: I love the interface of the website.
+- text: au revoir
+- text: I like how personalized the recommendations feel.
+metrics:
+- accuracy
+pipeline_tag: text-classification
+library_name: setfit
inference: true
+base_model: sentence-transformers/all-MiniLM-L6-v2
model-index:
- name: SetFit with sentence-transformers/all-MiniLM-L6-v2
results:
@@ -28,7 +28,7 @@ model-index:
split: test
metrics:
- type: accuracy
- value: 0.8571428571428571
+ value: 0.9047619047619048
name: Accuracy
---
@@ -60,22 +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 |
-|:--------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| 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'
|
+| Label | Examples |
+|:--------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| greet-who_are_you | - 'can you answer any question?'
- 'how smart are you?'
- 'are you a chatbot?'
|
+| general-questions | - 'how does adaptive learning personalize my experience'
- 'what is the significance of feedback in online learning'
- 'what is the role of certifications in career development'
|
+| feedback | - 'Excellent design and usability!'
- 'The course variety is amazing!'
- 'I experienced technical issues during live sessions.'
|
+| greet-good_bye | - 'gotta go'
- 'catch you later'
- 'take it easy'
|
+| greet-hi | - 'Coucou!'
- 'Salutations!'
- 'Salut'
|
+| recommendations | - 'what courses help with productivity skills'
- 'can you recommend some quick short-term courses'
- 'can you recommend some career-oriented courses'
|
+| website-information | - 'how to enable or disable notifications'
- 'where can I update my payment information'
- 'how to contact customer service'
|
## Evaluation
### Metrics
| Label | Accuracy |
|:--------|:---------|
-| **all** | 0.8571 |
+| **all** | 0.9048 |
## Uses
@@ -95,7 +95,7 @@ from setfit import SetFitModel
# Download from the 🤗 Hub
model = SetFitModel.from_pretrained("HussienAhmad/SFT_GradProject")
# Run inference
-preds = model("Salut")
+preds = model("au revoir")
```