Sentiment-swh-Muhammad
Task Identifier: sentiment-2022-muhammad-swh
Cluster: Sentiment Analysis
Data Type: swh
Score Metric: Weight-F1
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs XLM-RoBERTa-Large
62.687
2
Finetuned LMs InfoDCL
61.2874
3
Finetuned LMs XLM-RoBERTa-Base
61.1546
4
Finetuned LMs XLM-Twitter
58.5453
5
Finetuned LMs TwHIN-BERT
57.2039
6
Finetuned LMs Bernice
56.1932
7
Zero-shot Bactrian-LLaMA-7B
55.4687
8
Zero-shot Chatgpt
54.395
9
Zero-shot Chatgpt with translated prompts
53.839
10
Finetuned LMs mBERT
53.043
11
three-shot in-context learning Vicuna-7B
45.6403
12
Zero-shot Vicuna-7B
45.5451
13
five-shot in-context learning Vicuna-7B
45.2048
14
Baseline Majority
44.2199
15
five-shot in-context learning LLaMA-7B
35.9114
16
Baseline Random
33.7199
17
Zero-shot BLOOMZ-7B
17.8031
18
Zero-shot BLOOMZ-P3-7B
17.5982
19
five-shot in-context learning BLOOMZ-P3-7B
16.2683
20
three-shot in-context learning BLOOMZ-P3-7B
15.0726
21
five-shot in-context learning mT0-XL
14.153
22
three-shot in-context learning mT0-XL
14.1506
23
Zero-shot mT0-XL
14.0167
24
three-shot in-context learning BLOOM-7B
14.0112
25
three-shot in-context learning LLaMA-7B
13.703
26
three-shot in-context learning mT5-XL
11.5001
27
Zero-shot LLaMA-7B
9.45303
28
five-shot in-context learning mT5-XL
8.55527
29
five-shot in-context learning BLOOM-7B
8.50076
30
Zero-shot Bactrian-BLOOM
8.05093
31
Zero-shot BLOOM-7B
5.09301
32
Zero-shot Alpaca-7B
2.36026
33
Zero-shot mT5-XL
1.95942