Emotion-spa-Mohammad
Task Identifier: emotion-2018-mohammad-spa
Cluster: Emotion Recognition
Data Type: spa
Score Metric: Macro-F1
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs InfoDCL
85.4896
2
Finetuned LMs XLM-RoBERTa-Large
84.0452
3
Finetuned LMs TwHIN-BERT
83.7343
4
Finetuned LMs XLM-Twitter
83.4984
5
Finetuned LMs Bernice
83.3286
6
Finetuned LMs XLM-RoBERTa-Base
82.2748
7
Finetuned LMs mBERT
78.5339
8
Zero-shot Chatgpt
75.8855
9
Zero-shot Chatgpt with translated prompts
75.338
10
five-shot in-context learning Vicuna-7B
67.5744
11
three-shot in-context learning Vicuna-7B
67.04
12
five-shot in-context learning LLaMA-7B
61.6808
13
three-shot in-context learning LLaMA-7B
57.6337
14
Zero-shot Alpaca-7B
54.0551
15
Zero-shot mT0-XL
42.7222
16
five-shot in-context learning mT0-XL
40.0439
17
three-shot in-context learning mT0-XL
35.7874
18
Zero-shot Bactrian-LLaMA-7B
33.9522
19
Zero-shot Bactrian-BLOOM
33.1665
20
Zero-shot Vicuna-7B
29.1771
21
five-shot in-context learning BLOOM-7B
26.9371
22
three-shot in-context learning BLOOM-7B
26.5731
23
Baseline Random
25.579
24
Zero-shot LLaMA-7B
25.3664
25
Zero-shot BLOOMZ-7B
25.1376
26
Zero-shot BLOOMZ-P3-7B
19.4953
27
five-shot in-context learning BLOOMZ-P3-7B
15.6289
28
Zero-shot BLOOM-7B
15.5599
29
three-shot in-context learning mT5-XL
15.4128
30
three-shot in-context learning BLOOMZ-P3-7B
14.233
31
five-shot in-context learning mT5-XL
13.8903
32
Zero-shot mT5-XL
12.5313
33
Baseline Majority
10.4293