Yah216 commited on
Commit
fdee92f
1 Parent(s): 970ddbc

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +13 -12
README.md CHANGED
@@ -4,8 +4,6 @@ language: ar
4
  widget:
5
  - text: "قفا نبك من ذِكرى حبيب ومنزلِ بسِقطِ اللِّوى بينَ الدَّخول فحَوْملِ"
6
  - text: "سَلو قَلبي غَداةَ سَلا وَثابا لَعَلَّ عَلى الجَمالِ لَهُ عِتابا"
7
- datasets:
8
- - Yah216/autotrain-data-Poem_meter_3
9
  co2_eq_emissions: 404.66986451902227
10
  ---
11
 
@@ -13,21 +11,24 @@ co2_eq_emissions: 404.66986451902227
13
 
14
  - Problem type: Multi-class Classification
15
  - CO2 Emissions (in grams): 404.66986451902227
16
-
 
 
 
 
 
 
 
 
 
 
 
 
17
  ## Validation Metrics
18
 
19
  - Loss: 0.21315555274486542
20
  - Accuracy: 0.9493554089595999
21
  - Macro F1: 0.7537353091512587
22
- - Micro F1: 0.9493554089595999
23
- - Weighted F1: 0.9480607076301577
24
- - Macro Precision: 0.7925160467633223
25
- - Micro Precision: 0.9493554089595999
26
- - Weighted Precision: 0.9477713919153736
27
- - Macro Recall: 0.7352339804511467
28
- - Micro Recall: 0.9493554089595999
29
- - Weighted Recall: 0.9493554089595999
30
-
31
 
32
  ## Usage
33
 
 
4
  widget:
5
  - text: "قفا نبك من ذِكرى حبيب ومنزلِ بسِقطِ اللِّوى بينَ الدَّخول فحَوْملِ"
6
  - text: "سَلو قَلبي غَداةَ سَلا وَثابا لَعَلَّ عَلى الجَمالِ لَهُ عِتابا"
 
 
7
  co2_eq_emissions: 404.66986451902227
8
  ---
9
 
 
11
 
12
  - Problem type: Multi-class Classification
13
  - CO2 Emissions (in grams): 404.66986451902227
14
+ ## Dataset
15
+ We used the APCD dataset cited hereafter for pretraining the model. The dataset has been cleaned and only the main text and the meter columns were kept:
16
+ ```
17
+ @Article{Yousef2019LearningMetersArabicEnglish-arxiv,
18
+ author = {Yousef, Waleed A. and Ibrahime, Omar M. and Madbouly, Taha M. and Mahmoud,
19
+ Moustafa A.},
20
+ title = {Learning Meters of Arabic and English Poems With Recurrent Neural Networks: a Step
21
+ Forward for Language Understanding and Synthesis},
22
+ journal = {arXiv preprint arXiv:1905.05700},
23
+ year = 2019,
24
+ url = {https://github.com/hci-lab/LearningMetersPoems}
25
+ }
26
+ ```
27
  ## Validation Metrics
28
 
29
  - Loss: 0.21315555274486542
30
  - Accuracy: 0.9493554089595999
31
  - Macro F1: 0.7537353091512587
 
 
 
 
 
 
 
 
 
32
 
33
  ## Usage
34