Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.1	2	1.8707	0.1292	1.8707	1.3677
No log	0.2	4	0.8636	0.2933	0.8636	0.9293
No log	0.3	6	1.0185	0.2748	1.0185	1.0092
No log	0.4	8	1.1619	0.2901	1.1619	1.0779
No log	0.5	10	1.3174	0.4131	1.3174	1.1478
No log	0.6	12	1.2385	0.3952	1.2385	1.1129
No log	0.7	14	1.0434	0.4430	1.0434	1.0215
No log	0.8	16	0.7549	0.5467	0.7549	0.8689
No log	0.9	18	0.6424	0.6164	0.6424	0.8015
No log	1.0	20	0.5880	0.6164	0.5880	0.7668
No log	1.1	22	0.6475	0.7074	0.6475	0.8047
No log	1.2	24	0.7525	0.5724	0.7525	0.8675
No log	1.3	26	0.7401	0.6287	0.7401	0.8603
No log	1.4	28	0.6079	0.7229	0.6079	0.7797
No log	1.5	30	0.5209	0.6377	0.5209	0.7217
No log	1.6	32	0.5261	0.6867	0.5261	0.7253
No log	1.7	34	0.5178	0.7761	0.5178	0.7196
No log	1.8	36	0.6706	0.6977	0.6706	0.8189
No log	1.9	38	0.6653	0.6721	0.6653	0.8157
No log	2.0	40	0.5776	0.7356	0.5776	0.7600
No log	2.1	42	0.6500	0.6667	0.6500	0.8062
No log	2.2	44	0.8532	0.6117	0.8532	0.9237
No log	2.3	46	0.7328	0.5973	0.7328	0.8561
No log	2.4	48	0.5340	0.7430	0.5340	0.7307
No log	2.5	50	0.5437	0.6867	0.5437	0.7374
No log	2.6	52	0.5241	0.7176	0.5241	0.7239
No log	2.7	54	0.7765	0.6545	0.7765	0.8812
No log	2.8	56	1.0303	0.5556	1.0303	1.0150
No log	2.9	58	1.0952	0.4919	1.0952	1.0465
No log	3.0	60	0.9889	0.4947	0.9889	0.9944
No log	3.1	62	0.7988	0.5662	0.7988	0.8937
No log	3.2	64	0.5489	0.7393	0.5489	0.7409
No log	3.3	66	0.4567	0.7531	0.4567	0.6758
No log	3.4	68	0.4720	0.7531	0.4720	0.6870
No log	3.5	70	0.5694	0.7531	0.5694	0.7546
No log	3.6	72	0.8145	0.6488	0.8145	0.9025
No log	3.7	74	1.0357	0.5556	1.0357	1.0177
No log	3.8	76	1.0146	0.5556	1.0146	1.0073
No log	3.9	78	0.7990	0.6025	0.7990	0.8939
No log	4.0	80	0.5679	0.7264	0.5679	0.7536
No log	4.1	82	0.4952	0.6649	0.4952	0.7037
No log	4.2	84	0.5394	0.5938	0.5394	0.7344
No log	4.3	86	0.5434	0.5938	0.5434	0.7372
No log	4.4	88	0.5166	0.6439	0.5166	0.7188
No log	4.5	90	0.5124	0.6226	0.5124	0.7158
No log	4.6	92	0.5542	0.6597	0.5542	0.7445
No log	4.7	94	0.6511	0.7579	0.6511	0.8069
No log	4.8	96	0.7680	0.6767	0.7680	0.8763
No log	4.9	98	0.8254	0.6767	0.8254	0.9085
No log	5.0	100	0.8743	0.6806	0.8743	0.9350
No log	5.1	102	0.8950	0.5888	0.8950	0.9461
No log	5.2	104	0.8533	0.5888	0.8533	0.9237
No log	5.3	106	0.7517	0.6336	0.7517	0.8670
No log	5.4	108	0.6928	0.6868	0.6928	0.8324
No log	5.5	110	0.6291	0.7722	0.6291	0.7931
No log	5.6	112	0.6449	0.7477	0.6449	0.8030
No log	5.7	114	0.6354	0.7477	0.6354	0.7972
No log	5.8	116	0.6038	0.7722	0.6038	0.7771
No log	5.9	118	0.5876	0.7722	0.5876	0.7665
No log	6.0	120	0.5855	0.7722	0.5855	0.7651
No log	6.1	122	0.6327	0.6909	0.6327	0.7955
No log	6.2	124	0.7398	0.6901	0.7398	0.8601
No log	6.3	126	0.8022	0.5728	0.8022	0.8957
No log	6.4	128	0.8480	0.5946	0.8480	0.9208
No log	6.5	130	0.8395	0.6627	0.8395	0.9162
No log	6.6	132	0.8291	0.6627	0.8291	0.9106
No log	6.7	134	0.8023	0.6627	0.8023	0.8957
No log	6.8	136	0.7644	0.6627	0.7644	0.8743
No log	6.9	138	0.7386	0.6627	0.7386	0.8594
No log	7.0	140	0.6501	0.7160	0.6501	0.8063
No log	7.1	142	0.5967	0.7160	0.5967	0.7725
No log	7.2	144	0.6312	0.7160	0.6312	0.7945
No log	7.3	146	0.7262	0.6627	0.7262	0.8522
No log	7.4	148	0.8210	0.6627	0.8210	0.9061
No log	7.5	150	0.8430	0.6332	0.8430	0.9182
No log	7.6	152	0.8697	0.6332	0.8697	0.9326
No log	7.7	154	0.8945	0.5888	0.8945	0.9458
No log	7.8	156	0.8993	0.5888	0.8993	0.9483
No log	7.9	158	0.9058	0.6757	0.9058	0.9517
No log	8.0	160	0.8635	0.6870	0.8635	0.9292
No log	8.1	162	0.8010	0.6627	0.8010	0.8950
No log	8.2	164	0.7468	0.6450	0.7468	0.8642
No log	8.3	166	0.6994	0.6667	0.6994	0.8363
No log	8.4	168	0.6490	0.7160	0.6490	0.8056
No log	8.5	170	0.6431	0.7160	0.6431	0.8019
No log	8.6	172	0.6506	0.7160	0.6506	0.8066
No log	8.7	174	0.6624	0.7160	0.6624	0.8139
No log	8.8	176	0.6976	0.6939	0.6976	0.8352
No log	8.9	178	0.7121	0.6939	0.7121	0.8439
No log	9.0	180	0.7199	0.7340	0.7199	0.8485
No log	9.1	182	0.7328	0.7504	0.7328	0.8560
No log	9.2	184	0.7382	0.7504	0.7382	0.8592
No log	9.3	186	0.7582	0.7504	0.7582	0.8707
No log	9.4	188	0.7587	0.7504	0.7587	0.8710
No log	9.5	190	0.7526	0.7504	0.7526	0.8675
No log	9.6	192	0.7507	0.7504	0.7507	0.8664
No log	9.7	194	0.7526	0.7504	0.7526	0.8675
No log	9.8	196	0.7483	0.7504	0.7483	0.8650
No log	9.9	198	0.7442	0.7504	0.7442	0.8627
No log	10.0	200	0.7446	0.7504	0.7446	0.8629

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/Arabic_FineTuningAraBERT_AugV0_k4_task5_organization_fold0

Arabic_FineTuningAraBERT_AugV0_k4_task5_organization_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
Arabic_FineTuningAraBERT_AugV0_k4_task5_organization_fold0