Sentiment-bjn-Winata
Task Identifier: sentiment-2022-winata-bjn
Cluster: Sentiment Analysis
Data Type: bjn
Score Metric: Macro-F1
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs InfoDCL
84.4963
2
Finetuned LMs XLM-RoBERTa-Large
84.4164
3
Finetuned LMs Bernice
82.5826
4
Finetuned LMs XLM-RoBERTa-Base
79.8187
5
Finetuned LMs XLM-Twitter
79.4302
6
Finetuned LMs TwHIN-BERT
77.1296
7
Finetuned LMs mBERT
75.8064
8
Zero-shot Chatgpt with translated prompts
75.4307
9
Zero-shot Chatgpt
69.3433
10
Zero-shot BLOOMZ-P3-7B
50.5088
11
five-shot in-context learning LLaMA-7B
43.5734
12
Zero-shot BLOOMZ-7B
41.729
13
five-shot in-context learning BLOOMZ-P3-7B
41.1657
14
three-shot in-context learning BLOOMZ-P3-7B
40.4767
15
five-shot in-context learning Vicuna-7B
40.3448
16
three-shot in-context learning LLaMA-7B
37.5109
17
three-shot in-context learning BLOOM-7B
35.501
18
Zero-shot Bactrian-BLOOM
34.8877
19
five-shot in-context learning BLOOM-7B
31.693
20
Baseline Random
30.7732
21
three-shot in-context learning mT0-XL
30.1786
22
Zero-shot mT0-XL
27.7778
23
three-shot in-context learning Vicuna-7B
25.2591
24
five-shot in-context learning mT0-XL
22.707
25
Zero-shot Alpaca-7B
22.0699
26
Zero-shot BLOOM-7B
20.52
27
five-shot in-context learning mT5-XL
20.4962
28
Zero-shot Bactrian-LLaMA-7B
19.488
29
three-shot in-context learning mT5-XL
18.7267
30
Baseline Majority
18.4448
31
Zero-shot mT5-XL
18.4448
32
Zero-shot LLaMA-7B
18.4448
33
Zero-shot Vicuna-7B
14.8891