RumourDetection

	A	B	C	D	E	F	G	H	I	J	K	L	M	N	O	P	Q	R	S	T
1	Dataset	Model	parameters	epochs	Train last encoder	n layer	hidden size	bidirectional	lr	pad_len	optimizer	loss	dropout/inner	accuracy train	accuracy validation	F1 validation	accuracy test	model file	Defenition	duration
2	Fake News Kaggle	GloVe + RNN	158,000 40,158,000	50	_	2	128	TRUE	0.0005	250	Adam	BCE	0.2_0.2	97.4	96.25	96.22	96.66	exp2.model
3	Fake News Kaggle	Fasttext + RNN	209,000 756,000,000	60	_	2	128	TRUE	0.0005	300	Adam	BCE	0.4_0.4	98.1	97.54	97.49	97.43	_
4	Fake News Kaggle	Fasttext + LSTM	694000 756,500,000	60	_	1	180	TRUE	0.0005	300	Adam	BCE	0.6_0.6	99.6	98.99	99.01	98.71	_
5	Fake News Kaggle	Fasttext + LSTM	1,231,617 756,600,000	100	_	3	128	TRUE	0.0005	320	Adam	BCE	0.75_0.75	99.4	98.9	98.87	98.65	_
6	Fake News Kaggle	Fasttext + GRU	1,221,000 757,000,000	100	_	3	150	TRUE	0.0005	300	Adam	BCE	0.7_0.7	99.7	99.52	99.51	98.91	exp6.model
7	Fake News Kaggle	Fasttext + LSTM	1,208,000 757,000,000	100	_	3	150	TRUE	0.0005	300	Adam	BCE	0.7_0.7	99.1	98.85	98.88	98.84	_
8	Fake News Kaggle	Bert-base + GRU	8,074,000 110,000,000	30	TRUE	2	128	TRUE	0.0005	300	Adam	BCE	0.7_0.7	99.5	98.55	_	_	_
9	Fake News Kaggle	Bert-large + LSTM	14,000,000 337,000,000	10	TRUE	2	128	TRUE	0.0005	300	Adam	BCE	0.75_0.75	97.7	96.6	_	_	_
10	Fake News Kaggle	Bert-large + LSTM	1,972,000 337,000,000	30	FALSE	3	128	TRUE	0.0005	300	Adam	BCE	0.7_0.7	_	_	_	_	_
11	ReCovery	GloVe + LSTM	3,890,000 44,000,000	100	_	3	256	TRUE	0.0005	600	Adam	BCE	0.65_0.65	96.1	88.11	_	_	_
12	ReCovery	Fasttext + LSTM	1,200,000 757,000,000	100	_	3	128	TRUE	0.00025	650	Adam	BCE	0.7_0.7	83.1	86.6	_	_	_
13	ReCovery	Fasttext + GRU	4,400,000 760,000,000	100	_	4	256	TRUE	0.0002	700	Adam	BCE	0.55_0.55	96.6	87.9	_	_	_
14	ReCovery	Fasttext + LSTM	5,880,000 762,000,000	100	_	4	256	TRUE	0.0002	700	Adam	BCE	0.55_0.55	94.2	85.2	_	_	_
15	ReCovery	Bert-base + LSTM	12,300,000 115,000,000	40	TRUE	3	256	TRUE	0.0002	500	Adam	BCE	0.7_0.7	99.6	86	_	_	_
16	ReCovery	Bert_base + GRU	12,200,000 114,000,000	65	TRUE	3	300	TRUE	0.0002	510	Adam	BCE	0.7_0.7	100	91.2	_	_	ex16.model
17	ReCovery	Bert-base + LSTM	8,000,000 110,000,000	60	TRUE	1	128	TRUE	0.0002	510	Adam	BCE	0.7_0.7	99.8	89.6	_	_	_
18	ReCovery	Bert-base + GRU	12,100,000 114,000,000	60	epoch>40 True	3	256	TRUE	0.0002	510	Adam	BCE	0.75_0.75	99.6	92,9	_	_	_	epoch 20th turn the last encoder on.
19	ReCovery	Bert_base + GRU	12100000 114,000,000	60	epoch>20 True	3	256	TRUE	0.0015	510	Adam	BCE	0.75_0.75	99.9	92.5	_	_	_	epoch 40th turn the 10th encoder learning on.
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