Emotion-fin-Ohman
Task Identifier: emotion-2020-ohman-fin
Cluster: Emotion Recognition
Data Type: fin
Score Metric: Macro-F1
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs XLM-RoBERTa-Large
59.3721
2
Zero-shot Chatgpt
52.9447
3
Finetuned LMs InfoDCL
50.3645
4
Finetuned LMs XLM-RoBERTa-Base
49.8239
5
Finetuned LMs XLM-Twitter
49.028
6
Finetuned LMs TwHIN-BERT
45.4068
7
Finetuned LMs Bernice
45.0668
8
Zero-shot Chatgpt with translated prompts
43.8738
9
Finetuned LMs mBERT
41.7402
10
five-shot in-context learning Vicuna-7B
19.2684
11
three-shot in-context learning Vicuna-7B
18.4528
12
Zero-shot mT0-XL
14.4706
13
five-shot in-context learning LLaMA-7B
14.4671
14
three-shot in-context learning LLaMA-7B
14.0826
15
Baseline Random
13.6046
16
three-shot in-context learning mT0-XL
13.2976
17
five-shot in-context learning mT0-XL
11.9922
18
Zero-shot Bactrian-LLaMA-7B
8.66504
19
Zero-shot Bactrian-BLOOM
7.67172
20
three-shot in-context learning mT5-XL
6.51698
21
Zero-shot Vicuna-7B
6.0365
22
Zero-shot BLOOM-7B
5.96109
23
three-shot in-context learning BLOOM-7B
5.72168
24
five-shot in-context learning mT5-XL
5.53768
25
five-shot in-context learning BLOOM-7B
5.20823
26
Zero-shot mT5-XL
4.38946
27
Zero-shot BLOOMZ-7B
3.77689
28
Zero-shot Alpaca-7B
3.73265
29
Zero-shot LLaMA-7B
3.72679
30
Baseline Majority
3.52057
31
three-shot in-context learning BLOOMZ-P3-7B
2.83688
32
Zero-shot BLOOMZ-P3-7B
2.83688
33
five-shot in-context learning BLOOMZ-P3-7B
2.83688