marcoallanda commited on
Commit
015f67a
·
verified ·
1 Parent(s): f5b2a74

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +17 -23
README.md CHANGED
@@ -1,16 +1,22 @@
1
  ---
2
  license: mit
3
  tags:
4
- - roberta
5
- - text-classification
6
- - reddit
7
- - nlp
8
- - sequence-classification
9
- - pytorch
10
- - transformers
11
  model-index:
12
- - name: SubRoBERTa
13
- results: []
 
 
 
 
 
 
14
  ---
15
 
16
  # SubRoBERTa: Reddit Subreddit Classification Model
@@ -93,14 +99,6 @@ The model was trained on a dataset of posts from the 10 target subreddits. The d
93
 
94
  The model was evaluated using accuracy and F1-macro scores. The best model was selected based on the F1-macro score.
95
 
96
- ## Environmental Impact
97
-
98
- - **Hardware Type:** GPU
99
- - **Hours used:** [Add your training time]
100
- - **Cloud Provider:** [Add your cloud provider if applicable]
101
- - **Compute Region:** [Add your region if applicable]
102
- - **Carbon Emitted:** [Add if you have this information]
103
-
104
  ## Citation
105
 
106
  If you use this model in your research, please cite:
@@ -109,13 +107,9 @@ If you use this model in your research, please cite:
109
  @misc{SubRoBERTa,
110
  author = {Marco Allanda},
111
  title = {SubRoBERTa: Reddit Subreddit Classification Model},
112
- year = {2024},
113
  publisher = {Hugging Face},
114
  journal = {Hugging Face Hub},
115
  howpublished = {\url{https://huggingface.co/marcoallanda/SubRoBERTa}}
116
  }
117
- ```
118
-
119
- ## Contact
120
-
121
- For questions or feedback, please open an issue on the [GitHub repository](https://github.com/marcoallanda/NLP-Project) or contact me through Hugging Face.
 
1
  ---
2
  license: mit
3
  tags:
4
+ - roberta
5
+ - text-classification
6
+ - reddit
7
+ - nlp
8
+ - sequence-classification
9
+ - pytorch
10
+ - transformers
11
  model-index:
12
+ - name: SubRoBERTa
13
+ results: []
14
+ language:
15
+ - en
16
+ metrics:
17
+ - accuracy
18
+ base_model:
19
+ - FacebookAI/roberta-base
20
  ---
21
 
22
  # SubRoBERTa: Reddit Subreddit Classification Model
 
99
 
100
  The model was evaluated using accuracy and F1-macro scores. The best model was selected based on the F1-macro score.
101
 
 
 
 
 
 
 
 
 
102
  ## Citation
103
 
104
  If you use this model in your research, please cite:
 
107
  @misc{SubRoBERTa,
108
  author = {Marco Allanda},
109
  title = {SubRoBERTa: Reddit Subreddit Classification Model},
110
+ year = {2025},
111
  publisher = {Hugging Face},
112
  journal = {Hugging Face Hub},
113
  howpublished = {\url{https://huggingface.co/marcoallanda/SubRoBERTa}}
114
  }
115
+ ```