Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.1	2	4.7492	-0.0551	4.7492	2.1793
No log	0.2	4	2.8267	0.1068	2.8267	1.6813
No log	0.3	6	1.5838	0.1117	1.5838	1.2585
No log	0.4	8	1.4608	0.0493	1.4608	1.2086
No log	0.5	10	1.2078	0.1595	1.2078	1.0990
No log	0.6	12	1.3956	0.1724	1.3956	1.1813
No log	0.7	14	1.4946	0.0357	1.4946	1.2225
No log	0.8	16	1.6314	0.0274	1.6314	1.2773
No log	0.9	18	2.2019	0.1898	2.2019	1.4839
No log	1.0	20	2.5056	0.1870	2.5056	1.5829
No log	1.1	22	2.3211	0.1870	2.3211	1.5235
No log	1.2	24	1.9585	0.1978	1.9585	1.3995
No log	1.3	26	1.6191	0.2863	1.6191	1.2724
No log	1.4	28	1.5207	0.2310	1.5207	1.2332
No log	1.5	30	1.4913	0.2083	1.4913	1.2212
No log	1.6	32	1.3801	0.1964	1.3801	1.1748
No log	1.7	34	1.1874	0.2944	1.1874	1.0897
No log	1.8	36	1.0502	0.2198	1.0502	1.0248
No log	1.9	38	0.9738	0.2470	0.9738	0.9868
No log	2.0	40	0.9608	0.3208	0.9608	0.9802
No log	2.1	42	1.0339	0.3487	1.0339	1.0168
No log	2.2	44	0.9790	0.4071	0.9790	0.9895
No log	2.3	46	0.8445	0.3906	0.8445	0.9189
No log	2.4	48	0.8101	0.4819	0.8101	0.9001
No log	2.5	50	0.7939	0.5359	0.7939	0.8910
No log	2.6	52	0.8286	0.5015	0.8286	0.9103
No log	2.7	54	0.7959	0.5831	0.7959	0.8921
No log	2.8	56	0.6948	0.6622	0.6948	0.8335
No log	2.9	58	0.6936	0.7164	0.6936	0.8328
No log	3.0	60	1.0196	0.5345	1.0196	1.0098
No log	3.1	62	1.2040	0.4964	1.2040	1.0973
No log	3.2	64	1.5037	0.4401	1.5037	1.2263
No log	3.3	66	1.4655	0.37	1.4655	1.2106
No log	3.4	68	1.2049	0.4130	1.2049	1.0977
No log	3.5	70	0.8712	0.5697	0.8712	0.9334
No log	3.6	72	0.8499	0.5909	0.8499	0.9219
No log	3.7	74	0.7965	0.6053	0.7965	0.8924
No log	3.8	76	0.7925	0.5933	0.7925	0.8902
No log	3.9	78	0.9091	0.5588	0.9091	0.9535
No log	4.0	80	0.9607	0.5909	0.9607	0.9802
No log	4.1	82	0.8067	0.5671	0.8067	0.8982
No log	4.2	84	0.6836	0.6104	0.6836	0.8268
No log	4.3	86	0.7005	0.6529	0.7005	0.8370
No log	4.4	88	0.6977	0.65	0.6977	0.8353
No log	4.5	90	0.6753	0.625	0.6753	0.8218
No log	4.6	92	0.7153	0.6702	0.7153	0.8457
No log	4.7	94	0.8344	0.6512	0.8344	0.9135
No log	4.8	96	0.7919	0.6637	0.7919	0.8899
No log	4.9	98	0.7056	0.6348	0.7056	0.8400
No log	5.0	100	0.7369	0.6293	0.7369	0.8584
No log	5.1	102	0.7329	0.6173	0.7329	0.8561
No log	5.2	104	0.7136	0.6206	0.7136	0.8447
No log	5.3	106	0.8233	0.6176	0.8233	0.9073
No log	5.4	108	0.9375	0.5792	0.9375	0.9682
No log	5.5	110	0.9251	0.6117	0.9251	0.9618
No log	5.6	112	0.8188	0.6846	0.8188	0.9049
No log	5.7	114	0.7370	0.6569	0.7370	0.8585
No log	5.8	116	0.7012	0.6589	0.7012	0.8374
No log	5.9	118	0.7292	0.7280	0.7292	0.8539
No log	6.0	120	0.7618	0.7032	0.7618	0.8728
No log	6.1	122	0.7556	0.7149	0.7556	0.8693
No log	6.2	124	0.7215	0.7017	0.7215	0.8494
No log	6.3	126	0.6914	0.6373	0.6914	0.8315
No log	6.4	128	0.6898	0.6373	0.6898	0.8305
No log	6.5	130	0.7353	0.7280	0.7353	0.8575
No log	6.6	132	0.8352	0.6512	0.8352	0.9139
No log	6.7	134	0.9954	0.5251	0.9954	0.9977
No log	6.8	136	1.0040	0.4892	1.0040	1.0020
No log	6.9	138	0.9312	0.5673	0.9312	0.9650
No log	7.0	140	0.8015	0.6519	0.8015	0.8953
No log	7.1	142	0.7107	0.6814	0.7107	0.8430
No log	7.2	144	0.6982	0.6351	0.6982	0.8356
No log	7.3	146	0.7111	0.6814	0.7111	0.8433
No log	7.4	148	0.7540	0.6519	0.7540	0.8684
No log	7.5	150	0.7896	0.6794	0.7896	0.8886
No log	7.6	152	0.8432	0.6512	0.8432	0.9183
No log	7.7	154	0.8800	0.6300	0.8800	0.9381
No log	7.8	156	0.8630	0.6300	0.8630	0.9290
No log	7.9	158	0.7860	0.6512	0.7860	0.8865
No log	8.0	160	0.7174	0.7332	0.7174	0.8470
No log	8.1	162	0.6890	0.7425	0.6890	0.8300
No log	8.2	164	0.6967	0.7295	0.6967	0.8347
No log	8.3	166	0.7369	0.7332	0.7369	0.8584
No log	8.4	168	0.7996	0.6512	0.7996	0.8942
No log	8.5	170	0.8438	0.6300	0.8438	0.9186
No log	8.6	172	0.8737	0.6410	0.8737	0.9347
No log	8.7	174	0.8665	0.6300	0.8665	0.9309
No log	8.8	176	0.8461	0.6300	0.8461	0.9199
No log	8.9	178	0.8115	0.6794	0.8115	0.9008
No log	9.0	180	0.7755	0.6519	0.7755	0.8806
No log	9.1	182	0.7705	0.6314	0.7705	0.8778
No log	9.2	184	0.7673	0.6314	0.7673	0.8760
No log	9.3	186	0.7735	0.6519	0.7735	0.8795
No log	9.4	188	0.7794	0.6519	0.7794	0.8828
No log	9.5	190	0.7832	0.6519	0.7832	0.8850
No log	9.6	192	0.7901	0.6519	0.7901	0.8889
No log	9.7	194	0.7924	0.6519	0.7924	0.8902
No log	9.8	196	0.7973	0.6794	0.7973	0.8929
No log	9.9	198	0.7974	0.6794	0.7974	0.8930
No log	10.0	200	0.7974	0.6794	0.7974	0.8930

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits2_FineTuningAraBERT_run1_AugV4_k2_task1_organization

ArabicNewSplits2_FineTuningAraBERT_run1_AugV4_k2_task1_organization

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits2_FineTuningAraBERT_run1_AugV4_k2_task1_organization