Sentiment-pol-Rybak
Task Identifier: sentiment-2020-rybak-pol
Cluster: Sentiment Analysis
Data Type: pol
Score Metric: Macro-F1
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs XLM-RoBERTa-Large
55.6706
2
Finetuned LMs InfoDCL
55.107
3
Finetuned LMs XLM-Twitter
54.2189
4
Finetuned LMs XLM-RoBERTa-Base
53.9807
5
Finetuned LMs Bernice
51.1239
6
Finetuned LMs TwHIN-BERT
49.7645
7
Finetuned LMs mBERT
45.4505
8
Zero-shot Chatgpt
43.2974
9
Zero-shot Chatgpt with translated prompts
31.4818
10
Baseline Random
21.5607
11
Zero-shot mT0-XL
16.2812
12
Zero-shot Alpaca-7B
15.9148
13
three-shot in-context learning LLaMA-7B
15.5462
14
Zero-shot Bactrian-LLaMA-7B
15.5005
15
five-shot in-context learning LLaMA-7B
15.0897
16
Zero-shot BLOOMZ-P3-7B
13.8177
17
five-shot in-context learning Vicuna-7B
13.7629
18
five-shot in-context learning mT0-XL
13.0074
19
three-shot in-context learning Vicuna-7B
12.9542
20
three-shot in-context learning mT0-XL
12.6139
21
three-shot in-context learning BLOOMZ-P3-7B
12.5195
22
five-shot in-context learning BLOOMZ-P3-7B
12.2576
23
Zero-shot BLOOMZ-7B
11.7963
24
Zero-shot LLaMA-7B
10.5849
25
three-shot in-context learning BLOOM-7B
10.231
26
Baseline Majority
9.75232
27
five-shot in-context learning BLOOM-7B
9.60395
28
Zero-shot BLOOM-7B
8.72257
29
Zero-shot Bactrian-BLOOM
5.9163
30
Zero-shot Vicuna-7B
5.57659
31
three-shot in-context learning mT5-XL
4.71052
32
five-shot in-context learning mT5-XL
4.12091
33
Zero-shot mT5-XL
3.83363