Sentiment-yor-Shode
Task Identifier: sentiment-2022-shode-yor
Cluster: Sentiment Analysis
Data Type: yor
Score Metric: Macro-F1
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs mBERT
86.8636
2
Finetuned LMs XLM-Twitter
85.7783
3
Finetuned LMs Bernice
85.3931
4
Finetuned LMs InfoDCL
84.9286
5
Finetuned LMs XLM-RoBERTa-Base
83.6945
6
Finetuned LMs XLM-RoBERTa-Large
83.2199
7
Finetuned LMs TwHIN-BERT
82.1305
8
Zero-shot Chatgpt
71.973
9
five-shot in-context learning BLOOMZ-P3-7B
58.816
10
Zero-shot BLOOMZ-7B
56.0392
11
Zero-shot BLOOMZ-P3-7B
54.5037
12
three-shot in-context learning LLaMA-7B
54.147
13
five-shot in-context learning BLOOM-7B
53.8988
14
three-shot in-context learning BLOOM-7B
53.4611
15
five-shot in-context learning LLaMA-7B
52.6959
16
three-shot in-context learning BLOOMZ-P3-7B
52.6673
17
three-shot in-context learning mT0-XL
50.9757
18
Zero-shot Chatgpt with translated prompts
49.8512
19
three-shot in-context learning Vicuna-7B
48.5741
20
Baseline Random
46.7991
21
five-shot in-context learning mT0-XL
43.8261
22
Zero-shot Bactrian-LLaMA-7B
43.8009
23
five-shot in-context learning Vicuna-7B
43.4456
24
Zero-shot mT0-XL
43.0721
25
Zero-shot LLaMA-7B
40.8348
26
five-shot in-context learning mT5-XL
35.0869
27
three-shot in-context learning mT5-XL
34.6078
28
Zero-shot Bactrian-BLOOM
34.0314
29
Zero-shot Vicuna-7B
33.7526
30
Baseline Majority
33.3333
31
Zero-shot Alpaca-7B
33.3333
32
Zero-shot mT5-XL
33.3333
33
Zero-shot BLOOM-7B
33.2443