owaiskha9654
commited on
Commit
β’
ee7831a
1
Parent(s):
ccdca50
Update app.py
Browse files
app.py
CHANGED
@@ -81,12 +81,12 @@ examples = [
|
|
81 |
]
|
82 |
|
83 |
title = "Big Five Personality Traits Detection From Expository text features"
|
84 |
-
description = ("In traditional machine learning, it can be challenging to train an accurate model if there is a lack of labeled data specific to the task or "),
|
85 |
("domain of interest. Transfer learning offers a way to address this issue by utilizing the pre-existing labeled data from a similar task or "),
|
86 |
("domain to improve model performance. By transferring knowledge learned from one task to another, transfer learning enables us to overcome "),
|
87 |
("the limitations posed by a shortage of labeled data, and to train more effective models even in data-scarce scenarios. We try to store this "),
|
88 |
("knowledge gained in solving the source task in the source domain and applying it to our problem of interest. In this work, I have utilized ",
|
89 |
-
("Transfer Learning utilizing BERT BASE UNCASED model to fine-tune on Big-Five Personality traits Dataset.")
|
90 |
Fotter = (
|
91 |
|
92 |
"<center>© 2023 Thoucentric </center>"
|
|
|
81 |
]
|
82 |
|
83 |
title = "Big Five Personality Traits Detection From Expository text features"
|
84 |
+
description = [("In traditional machine learning, it can be challenging to train an accurate model if there is a lack of labeled data specific to the task or "),
|
85 |
("domain of interest. Transfer learning offers a way to address this issue by utilizing the pre-existing labeled data from a similar task or "),
|
86 |
("domain to improve model performance. By transferring knowledge learned from one task to another, transfer learning enables us to overcome "),
|
87 |
("the limitations posed by a shortage of labeled data, and to train more effective models even in data-scarce scenarios. We try to store this "),
|
88 |
("knowledge gained in solving the source task in the source domain and applying it to our problem of interest. In this work, I have utilized ",
|
89 |
+
("Transfer Learning utilizing BERT BASE UNCASED model to fine-tune on Big-Five Personality traits Dataset.")]
|
90 |
Fotter = (
|
91 |
|
92 |
"<center>© 2023 Thoucentric </center>"
|