Ireland news headlines
Predict the headline category given headine text and year Start Date: 1996-01-01 End Date: 2019-12-31 [ver. 1.0.2]
This is a long list of all submissions, if you want to see only the best, click leaderboard.
# | submitter | when | ver. | description | dev-0 Accuracy | test-A Accuracy | test-B Accuracy | |
---|---|---|---|---|---|---|---|---|
25 | kubapok | 2023-11-16 15:58 | 1.0.2 | most common value in train | 50.94 | 51.10 | 38.27 | |
13 | kubapok | 2023-11-16 15:49 | 1.0.2 | tfidf + lr | 72.48 | 72.17 | 73.17 | |
49 | kubapok | 2022-07-11 15:39 | 1.0.2 | roberta_year_as_text_better_finetunning_scientific_representation | 87.99 | 87.79 | N/A | |
7 | s478855 | 2022-06-15 08:33 | 1.0.2 | s478855 ready-made | 76.16 | 76.10 | 76.97 | |
15 | s478815 | 2022-06-14 21:08 | 1.0.2 | 478815 ready-made | 70.84 | 70.63 | 72.33 | |
20 | Martyna Druminska | 2022-06-07 20:49 | 1.0.2 | ok ready-made | 65.08 | 64.75 | 63.82 | |
23 | Martyna Druminska | 2022-06-07 16:05 | 1.0.2 | new ready-made | 52.92 | 52.97 | 44.22 | |
14 | s478839 | 2022-06-07 15:51 | 1.0.2 | s478839 ready-made | 71.14 | 70.95 | 72.75 | |
11 | Jakub Eichner | 2022-06-07 13:45 | 1.0.2 | s478874 ready-made | 71.75 | 71.53 | 73.73 | |
19 | s478873 | 2022-06-06 23:02 | 1.0.2 | s478873 ready-made | 67.83 | 67.62 | 67.89 | |
10 | [anonymized] | 2022-05-31 22:15 | 1.0.2 | s478841 ready-made | 71.75 | 71.53 | 73.73 | |
12 | Cezary | 2022-05-31 15:04 | 1.0.2 | s470623 ready-made | 71.70 | 71.42 | 73.61 | |
16 | s443930 | 2022-05-28 19:48 | 1.0.2 | s443930 ready-made | 73.21 | 73.11 | 70.22 | |
21 | [anonymized] | 2022-05-27 19:35 | 1.0.2 | 444421 ready-made | 65.06 | 64.76 | 62.92 | |
22 | s444465 | 2022-05-26 21:37 | 1.0.2 | Solution s444465 ready-made | 65.68 | 65.58 | 62.81 | |
9 | ked | 2022-05-19 18:58 | 1.0.2 | s449288 - vowpal wabbit ready-made | 71.83 | 71.54 | 73.81 | |
17 | kubapok | 2022-02-21 08:10 | 1.0.2 | roberta_year_as_text_better_finetunning 1k trainset | 68.60 | 68.26 | 68.43 | |
6 | kubapok | 2022-02-20 21:09 | 1.0.2 | roberta_year_as_text_better_finetunning 10k trainset | 77.43 | 77.24 | 78.26 | |
4 | kubapok | 2022-02-20 08:55 | 1.0.2 | roberta_year_as_text_better_finetunning 100k trainset | 83.80 | 83.47 | 84.73 | |
18 | kubapok | 2022-02-19 09:17 | 1.0.2 | roberta_no_year_better_finetunning 1k trainset | 68.15 | 68.03 | 68.33 | |
8 | kubapok | 2022-02-18 11:30 | 1.0.2 | roberta_no_year_better_finetunning 10k trainset | 74.03 | 73.50 | 76.52 | |
5 | kubapok | 2022-02-17 14:29 | 1.0.2 | roberta_no_year_better_finetunning 100k trainset | 78.22 | 77.71 | 82.03 | |
48 | kubapok | 2022-02-17 14:28 | 1.0.2 | merge | 78.22 | 77.71 | N/A | |
2 | kubapok | 2021-11-14 22:48 | 1.0.2 | roberta_year_as_text_better_finetunning_only_year_testB | N/A | N/A | 87.49 | |
3 | kubapok | 2021-11-14 14:24 | 1.0.2 | roberta_no_year_better_finetunning for test-B | 84.68 | 84.46 | 85.99 | |
1 | kubapok | 2021-11-14 13:45 | 1.0.2 | roberta_year_as_text_better_finetunning for test B | 84.68 | 84.46 | 87.79 | |
24 | kubapok | 2021-11-13 22:12 | 1.0.2 | most frequent from train for test B | 84.68 | 84.46 | 38.27 | |
47 | kubapok | 2021-10-25 20:52 | 1.0.0 | roberta_year_as_text_better_finetunning_only_weekday | 84.68 | 84.46 | N/A | |
46 | kubapok | 2021-10-23 16:00 | 1.0.0 | roberta_year_as_text_better_finetunning_only_day roberta | 82.99 | 82.66 | N/A | |
45 | kubapok | 2021-10-21 21:18 | 1.0.0 | roberta_year_as_text_better_finetunning_only_month roberta | 83.00 | 82.72 | N/A | |
44 | kubapok | 2021-10-20 20:37 | 1.0.0 | roberta_year_as_text_better_finetunning_only_year roberta | 86.00 | 85.90 | N/A | |
43 | kubapok | 2021-10-20 09:50 | 1.0.1 | roberta_year_as_token_everywhere_from_scratch_better_finetunning roberta | 82.08 | 81.96 | N/A | |
42 | kubapok | 2021-10-19 08:47 | 1.0.0 | roberta_year_as_token_everywhere_better_finetunning roberta | 87.06 | 86.82 | N/A | |
41 | kubapok | 2021-10-18 15:30 | 1.0.1 | roberta_year_as_token_from_scratch_better_finetunning roberta | 83.39 | 83.24 | N/A | |
40 | kubapok | 2021-10-15 12:36 | 1.0.1 | roberta_year_as_text_from_scratch roberta | 83.30 | 83.16 | N/A | |
39 | kubapok | 2021-10-14 09:42 | 1.0.1 | roberta no year from scratch better finetuning roberta | 77.98 | 77.88 | N/A | |
38 | kubapok | 2021-10-07 06:56 | 1.0.1 | roberta_year_as_text_better_finetunning roberta | 88.03 | 87.84 | N/A | |
37 | kubapok | 2021-10-05 17:16 | 1.0.1 | roberta_year_as_token_better_finetunning roberta | 87.79 | 87.65 | N/A | |
36 | kubapok | 2021-10-04 15:29 | 1.0.0 | t5 v1.1. 5.93 epochs | 79.45 | 79.30 | N/A | |
35 | kubapok | 2021-10-04 08:33 | 1.0.0 | t5 v1.1 3 epochs | 79.88 | 79.77 | N/A | |
34 | kubapok | 2021-10-01 11:21 | 1.0.0 | t5 no year 3 epochs | 78.81 | 78.57 | N/A | |
33 | kubapok | 2021-09-30 14:18 | 1.0.0 | roberta year from scratch | 78.23 | 78.02 | N/A | |
32 | kubapok | 2021-09-30 12:02 | 1.0.1 | roberta no year better finetunning roberta | 82.78 | 82.35 | N/A | |
31 | kubapok | 2021-09-25 14:40 | 1.0.0 | roberta no year from scratch roberta | 75.76 | 75.44 | N/A | |
30 | kubapok | 2021-09-20 07:05 | 1.0.0 | roberta finetunning temp embedding 1 epoch after 1 epoch without embedding roberta | 80.11 | 75.03 | N/A | |
29 | kubapok | 2021-09-19 09:15 | 1.0.0 | roberta finetunning temp embedding 1 epoch roberta | 77.98 | 73.26 | N/A | |
28 | kubapok | 2021-09-18 07:53 | 1.0.0 | roberta base with no year emb roberta | 78.93 | 78.57 | N/A | |
27 | kubapok | 2021-07-11 06:35 | 1.0.0 | roberta base finetuned roberta | 79.56 | 79.18 | N/A | |
26 | kubapok | 2021-07-06 08:42 | 1.0.1 | most common value in train baseline | 50.94 | 51.10 | N/A |