Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.0909	2	3.3252	0.0	3.3252	1.8235
No log	0.1818	4	1.7157	0.0056	1.7157	1.3098
No log	0.2727	6	0.8217	-0.0544	0.8217	0.9065
No log	0.3636	8	0.7188	0.1141	0.7188	0.8478
No log	0.4545	10	0.7920	0.0679	0.7920	0.8899
No log	0.5455	12	0.8845	0.2000	0.8845	0.9405
No log	0.6364	14	0.7789	0.0679	0.7789	0.8826
No log	0.7273	16	0.6689	0.0679	0.6689	0.8179
No log	0.8182	18	0.6464	0.3288	0.6464	0.8040
No log	0.9091	20	0.8317	0.0	0.8317	0.9120
No log	1.0	22	1.0282	0.0	1.0282	1.0140
No log	1.0909	24	0.9399	0.0	0.9399	0.9695
No log	1.1818	26	0.7606	0.1213	0.7606	0.8722
No log	1.2727	28	0.6425	0.2889	0.6425	0.8016
No log	1.3636	30	0.5915	0.1985	0.5915	0.7691
No log	1.4545	32	0.6480	0.0	0.6480	0.8050
No log	1.5455	34	0.6929	0.0916	0.6929	0.8324
No log	1.6364	36	0.6695	0.0916	0.6695	0.8182
No log	1.7273	38	0.6527	0.1340	0.6527	0.8079
No log	1.8182	40	0.6444	0.0	0.6444	0.8027
No log	1.9091	42	0.6153	0.1340	0.6153	0.7844
No log	2.0	44	0.5964	0.1962	0.5964	0.7723
No log	2.0909	46	0.6017	0.3288	0.6017	0.7757
No log	2.1818	48	0.5816	0.3546	0.5816	0.7627
No log	2.2727	50	0.5492	0.3668	0.5492	0.7411
No log	2.3636	52	0.5189	0.3053	0.5189	0.7203
No log	2.4545	54	0.5066	0.3053	0.5066	0.7118
No log	2.5455	56	0.4845	0.3053	0.4845	0.6961
No log	2.6364	58	0.4891	0.3576	0.4891	0.6994
No log	2.7273	60	0.5048	0.1765	0.5048	0.7105
No log	2.8182	62	0.5332	0.2150	0.5332	0.7302
No log	2.9091	64	0.5465	0.2150	0.5465	0.7392
No log	3.0	66	0.5064	0.2150	0.5064	0.7116
No log	3.0909	68	0.4721	0.3971	0.4721	0.6871
No log	3.1818	70	0.4587	0.4400	0.4587	0.6773
No log	3.2727	72	0.4779	0.3390	0.4779	0.6913
No log	3.3636	74	0.5023	0.3390	0.5023	0.7087
No log	3.4545	76	0.5062	0.3824	0.5062	0.7115
No log	3.5455	78	0.4867	0.3226	0.4867	0.6976
No log	3.6364	80	0.4776	0.4273	0.4776	0.6911
No log	3.7273	82	0.4731	0.3467	0.4731	0.6878
No log	3.8182	84	0.4819	0.3609	0.4819	0.6942
No log	3.9091	86	0.4920	0.3226	0.4920	0.7014
No log	4.0	88	0.5013	0.3865	0.5013	0.7080
No log	4.0909	90	0.5347	0.3636	0.5347	0.7312
No log	4.1818	92	0.5565	0.2727	0.5565	0.7460
No log	4.2727	94	0.5401	0.4154	0.5401	0.7349
No log	4.3636	96	0.5243	0.2794	0.5243	0.7241
No log	4.4545	98	0.5064	0.3390	0.5064	0.7116
No log	4.5455	100	0.4865	0.5157	0.4865	0.6975
No log	4.6364	102	0.4716	0.4772	0.4716	0.6867
No log	4.7273	104	0.4533	0.4720	0.4533	0.6733
No log	4.8182	106	0.4751	0.4901	0.4751	0.6893
No log	4.9091	108	0.4811	0.4901	0.4811	0.6936
No log	5.0	110	0.4581	0.5312	0.4581	0.6768
No log	5.0909	112	0.4516	0.4253	0.4516	0.6720
No log	5.1818	114	0.4613	0.5281	0.4613	0.6792
No log	5.2727	116	0.4976	0.3463	0.4976	0.7054
No log	5.3636	118	0.5207	0.4167	0.5207	0.7216
No log	5.4545	120	0.5232	0.3636	0.5232	0.7234
No log	5.5455	122	0.4968	0.4661	0.4968	0.7048
No log	5.6364	124	0.4940	0.4661	0.4940	0.7028
No log	5.7273	126	0.4668	0.5157	0.4668	0.6832
No log	5.8182	128	0.4278	0.4394	0.4278	0.6541
No log	5.9091	130	0.4098	0.4980	0.4098	0.6402
No log	6.0	132	0.4059	0.6414	0.4059	0.6371
No log	6.0909	134	0.3971	0.6414	0.3971	0.6301
No log	6.1818	136	0.3889	0.5977	0.3889	0.6236
No log	6.2727	138	0.3871	0.5977	0.3871	0.6222
No log	6.3636	140	0.3821	0.6414	0.3821	0.6181
No log	6.4545	142	0.3757	0.6344	0.3757	0.6129
No log	6.5455	144	0.3908	0.5191	0.3908	0.6251
No log	6.6364	146	0.4254	0.5462	0.4254	0.6522
No log	6.7273	148	0.4589	0.5385	0.4589	0.6774
No log	6.8182	150	0.4561	0.5385	0.4561	0.6754
No log	6.9091	152	0.4377	0.5462	0.4377	0.6616
No log	7.0	154	0.4230	0.5462	0.4230	0.6504
No log	7.0909	156	0.4090	0.4740	0.4090	0.6396
No log	7.1818	158	0.3974	0.4839	0.3974	0.6304
No log	7.2727	160	0.3917	0.4980	0.3917	0.6259
No log	7.3636	162	0.3904	0.5898	0.3904	0.6249
No log	7.4545	164	0.3903	0.6344	0.3903	0.6247
No log	7.5455	166	0.3906	0.6272	0.3906	0.6250
No log	7.6364	168	0.3930	0.5817	0.3930	0.6269
No log	7.7273	170	0.3986	0.4143	0.3986	0.6314
No log	7.8182	172	0.4023	0.4143	0.4023	0.6343
No log	7.9091	174	0.4069	0.4143	0.4069	0.6379
No log	8.0	176	0.4126	0.4878	0.4126	0.6424
No log	8.0909	178	0.4223	0.5257	0.4223	0.6498
No log	8.1818	180	0.4289	0.4772	0.4289	0.6549
No log	8.2727	182	0.4268	0.4772	0.4268	0.6533
No log	8.3636	184	0.4197	0.4394	0.4197	0.6478
No log	8.4545	186	0.4121	0.4024	0.4121	0.6419
No log	8.5455	188	0.4117	0.4024	0.4117	0.6416
No log	8.6364	190	0.4143	0.4024	0.4143	0.6437
No log	8.7273	192	0.4168	0.4394	0.4168	0.6456
No log	8.8182	194	0.4174	0.4024	0.4174	0.6461
No log	8.9091	196	0.4199	0.4024	0.4199	0.6480
No log	9.0	198	0.4266	0.4772	0.4266	0.6532
No log	9.0909	200	0.4322	0.4740	0.4322	0.6575
No log	9.1818	202	0.4321	0.4740	0.4321	0.6573
No log	9.2727	204	0.4327	0.4740	0.4327	0.6578
No log	9.3636	206	0.4365	0.5097	0.4365	0.6607
No log	9.4545	208	0.4405	0.5097	0.4405	0.6637
No log	9.5455	210	0.4412	0.5097	0.4412	0.6642
No log	9.6364	212	0.4410	0.5097	0.4410	0.6641
No log	9.7273	214	0.4410	0.5097	0.4410	0.6641
No log	9.8182	216	0.4398	0.5097	0.4398	0.6631
No log	9.9091	218	0.4381	0.4740	0.4381	0.6619
No log	10.0	220	0.4374	0.4740	0.4374	0.6613

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/Arabic_FineTuningAraBERT_AugV0_k3_task2_organization_fold0

Arabic_FineTuningAraBERT_AugV0_k3_task2_organization_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
Arabic_FineTuningAraBERT_AugV0_k3_task2_organization_fold0