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


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs XLM-RoBERTa-Large
66.7873
2
Finetuned LMs XLM-Twitter
65.9731
3
Finetuned LMs Bernice
65.4313
4
Finetuned LMs TwHIN-BERT
64.5698
5
Finetuned LMs InfoDCL
64.5123
6
Finetuned LMs XLM-RoBERTa-Base
64.2939
7
Finetuned LMs mBERT
63.3157
8
Zero-shot Chatgpt
51.1202
9
Zero-shot BLOOMZ-P3-7B
46.5611
10
five-shot in-context learning LLaMA-7B
40.7409
11
five-shot in-context learning BLOOMZ-P3-7B
40.4343
12
three-shot in-context learning BLOOMZ-P3-7B
39.0699
13
three-shot in-context learning LLaMA-7B
37.9768
14
Zero-shot BLOOMZ-7B
37.2565
15
three-shot in-context learning mT0-XL
36.4377
16
three-shot in-context learning BLOOM-7B
35.7899
17
Baseline Random
34.0418
18
five-shot in-context learning mT0-XL
30.7145
19
five-shot in-context learning BLOOM-7B
30.671
20
Baseline Majority
30.505
21
Zero-shot Chatgpt with translated prompts
30.152
22
Zero-shot mT0-XL
29.3354
23
Zero-shot Alpaca-7B
24.4768
24
three-shot in-context learning mT5-XL
23.3539
25
Zero-shot LLaMA-7B
23.1842
26
five-shot in-context learning mT5-XL
22.5787
27
Zero-shot BLOOM-7B
22.3239
28
Zero-shot mT5-XL
20.7379
29
five-shot in-context learning Vicuna-7B
17.2824
30
Zero-shot Bactrian-BLOOM
16.9121
31
Zero-shot Bactrian-LLaMA-7B
14.3998
32
three-shot in-context learning Vicuna-7B
8.00776
33
Zero-shot Vicuna-7B
5.27562