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


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs XLM-RoBERTa-Large
75.0646
2
Finetuned LMs XLM-RoBERTa-Base
73.4381
3
Finetuned LMs Bernice
73.1099
4
Finetuned LMs TwHIN-BERT
72.8568
5
Finetuned LMs XLM-Twitter
72.8134
6
Finetuned LMs InfoDCL
72.1838
7
Finetuned LMs mBERT
69.9436
8
Zero-shot Chatgpt
55.5164
9
five-shot in-context learning LLaMA-7B
39.3473
10
Zero-shot Bactrian-LLaMA-7B
35.909
11
Baseline Random
35.2199
12
Zero-shot Bactrian-BLOOM
33.2568
13
Zero-shot Chatgpt with translated prompts
32.9432
14
Zero-shot BLOOMZ-P3-7B
30.143
15
three-shot in-context learning BLOOM-7B
28.7038
16
three-shot in-context learning LLaMA-7B
27.8808
17
five-shot in-context learning BLOOMZ-P3-7B
27.335
18
five-shot in-context learning Vicuna-7B
27.0755
19
five-shot in-context learning BLOOM-7B
24.8702
20
Zero-shot BLOOM-7B
24.8581
21
three-shot in-context learning BLOOMZ-P3-7B
24.1866
22
three-shot in-context learning mT0-XL
23.5506
23
five-shot in-context learning mT0-XL
21.9565
24
Zero-shot mT0-XL
20.935
25
three-shot in-context learning mT5-XL
20.6814
26
Zero-shot BLOOMZ-7B
20.6577
27
three-shot in-context learning Vicuna-7B
20.5262
28
Zero-shot LLaMA-7B
19.8314
29
five-shot in-context learning mT5-XL
19.3029
30
Zero-shot Vicuna-7B
17.3905
31
Zero-shot Alpaca-7B
16.9727
32
Zero-shot mT5-XL
16.5501
33
Baseline Majority
16.4581