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


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs TwHIN-BERT
66.6
2
Finetuned LMs InfoDCL
65.6758
3
Finetuned LMs XLM-RoBERTa-Large
60.5234
4
Finetuned LMs XLM-RoBERTa-Base
60.3246
5
Finetuned LMs XLM-Twitter
57.4537
6
Finetuned LMs Bernice
57.2102
7
five-shot in-context learning BLOOM-7B
56.283
8
three-shot in-context learning BLOOM-7B
55.1143
9
Zero-shot BLOOM-7B
54.5317
10
Zero-shot mT5-XL
54.5317
11
Zero-shot LLaMA-7B
54.5317
12
Zero-shot Alpaca-7B
54.5317
13
five-shot in-context learning LLaMA-7B
54.4341
14
three-shot in-context learning LLaMA-7B
53.8522
15
Baseline Majority
53.611
16
three-shot in-context learning mT5-XL
51.218
17
Zero-shot Bactrian-BLOOM
49.0364
18
five-shot in-context learning mT5-XL
48.8733
19
Zero-shot Chatgpt with translated prompts
48.1139
20
five-shot in-context learning Vicuna-7B
44.3484
21
Baseline Random
37.9528
22
three-shot in-context learning BLOOMZ-P3-7B
36.2145
23
five-shot in-context learning BLOOMZ-P3-7B
29.2207
24
Zero-shot BLOOMZ-7B
27.7588
25
Finetuned LMs mBERT
24.9334
26
three-shot in-context learning Vicuna-7B
24.2115
27
Zero-shot mT0-XL
22.4932
28
Zero-shot Chatgpt
20.617
29
three-shot in-context learning mT0-XL
20.5196
30
Zero-shot BLOOMZ-P3-7B
16.0477
31
five-shot in-context learning mT0-XL
11.9478
32
Zero-shot Bactrian-LLaMA-7B
8.2725
33
Zero-shot Vicuna-7B
2.98834