Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.0909	2	5.3070	0.0034	5.3070	2.3037
No log	0.1818	4	2.8607	0.0	2.8607	1.6914
No log	0.2727	6	1.7117	0.0056	1.7117	1.3083
No log	0.3636	8	0.9450	0.0	0.9450	0.9721
No log	0.4545	10	0.6909	0.3131	0.6909	0.8312
No log	0.5455	12	0.7700	0.1340	0.7700	0.8775
No log	0.6364	14	0.9319	0.1340	0.9319	0.9654
No log	0.7273	16	1.1022	-0.1000	1.1022	1.0499
No log	0.8182	18	1.0486	0.1600	1.0486	1.0240
No log	0.9091	20	0.9837	0.3687	0.9837	0.9918
No log	1.0	22	0.8772	0.1398	0.8772	0.9366
No log	1.0909	24	0.6864	0.0	0.6864	0.8285
No log	1.1818	26	0.5492	0.2184	0.5492	0.7411
No log	1.2727	28	0.5553	0.3288	0.5553	0.7452
No log	1.3636	30	0.5685	0.3974	0.5685	0.7540
No log	1.4545	32	0.5201	0.3695	0.5201	0.7212
No log	1.5455	34	0.5090	0.2373	0.5090	0.7135
No log	1.6364	36	0.5338	0.3318	0.5338	0.7306
No log	1.7273	38	0.5921	0.4637	0.5921	0.7695
No log	1.8182	40	0.6640	0.4615	0.6640	0.8149
No log	1.9091	42	0.6750	0.4615	0.6750	0.8216
No log	2.0	44	0.6561	0.2364	0.6561	0.8100
No log	2.0909	46	0.6245	0.2364	0.6245	0.7902
No log	2.1818	48	0.5986	0.1141	0.5986	0.7737
No log	2.2727	50	0.5605	0.1560	0.5605	0.7486
No log	2.3636	52	0.5706	0.1755	0.5706	0.7554
No log	2.4545	54	0.5801	0.1962	0.5801	0.7616
No log	2.5455	56	0.5925	0.1985	0.5925	0.7698
No log	2.6364	58	0.6432	0.2588	0.6432	0.8020
No log	2.7273	60	0.7127	0.3731	0.7127	0.8442
No log	2.8182	62	0.7238	0.3731	0.7238	0.8508
No log	2.9091	64	0.6366	0.2516	0.6366	0.7979
No log	3.0	66	0.6464	0.3467	0.6464	0.8040
No log	3.0909	68	0.6838	0.1560	0.6838	0.8269
No log	3.1818	70	0.6834	0.1168	0.6834	0.8267
No log	3.2727	72	0.6738	0.2533	0.6738	0.8209
No log	3.3636	74	0.8539	0.3731	0.8539	0.9241
No log	3.4545	76	0.9681	0.2535	0.9681	0.9839
No log	3.5455	78	0.9261	0.3770	0.9261	0.9623
No log	3.6364	80	0.7765	0.4167	0.7765	0.8812
No log	3.7273	82	0.6208	0.3865	0.6208	0.7879
No log	3.8182	84	0.5836	0.1168	0.5836	0.7639
No log	3.9091	86	0.6515	0.2119	0.6515	0.8072
No log	4.0	88	0.6611	0.3581	0.6611	0.8131
No log	4.0909	90	0.5815	0.1168	0.5815	0.7626
No log	4.1818	92	0.5561	0.4394	0.5561	0.7457
No log	4.2727	94	0.5949	0.4167	0.5949	0.7713
No log	4.3636	96	0.6506	0.4167	0.6506	0.8066
No log	4.4545	98	0.6586	0.4167	0.6586	0.8115
No log	4.5455	100	0.6494	0.4167	0.6494	0.8059
No log	4.6364	102	0.5627	0.5097	0.5627	0.7501
No log	4.7273	104	0.4924	0.3307	0.4924	0.7017
No log	4.8182	106	0.5177	0.4375	0.5177	0.7195
No log	4.9091	108	0.5040	0.5532	0.5040	0.7100
No log	5.0	110	0.5200	0.3171	0.5200	0.7211
No log	5.0909	112	0.5868	0.5045	0.5868	0.7660
No log	5.1818	114	0.5759	0.4712	0.5759	0.7589
No log	5.2727	116	0.5610	0.4389	0.5610	0.7490
No log	5.3636	118	0.5452	0.4389	0.5452	0.7384
No log	5.4545	120	0.5716	0.4385	0.5716	0.7560
No log	5.5455	122	0.5244	0.4045	0.5244	0.7242
No log	5.6364	124	0.4997	0.3307	0.4997	0.7069
No log	5.7273	126	0.4924	0.5898	0.4924	0.7017
No log	5.8182	128	0.4885	0.5898	0.4885	0.6990
No log	5.9091	130	0.4844	0.5898	0.4844	0.6960
No log	6.0	132	0.4811	0.5898	0.4811	0.6936
No log	6.0909	134	0.5093	0.4507	0.5093	0.7136
No log	6.1818	136	0.5526	0.3957	0.5526	0.7433
No log	6.2727	138	0.5668	0.3957	0.5668	0.7528
No log	6.3636	140	0.5379	0.4394	0.5379	0.7334
No log	6.4545	142	0.5074	0.4507	0.5074	0.7123
No log	6.5455	144	0.5197	0.4507	0.5197	0.7209
No log	6.6364	146	0.5104	0.3307	0.5104	0.7144
No log	6.7273	148	0.5063	0.4615	0.5063	0.7116
No log	6.8182	150	0.5090	0.4615	0.5090	0.7135
No log	6.9091	152	0.5207	0.3307	0.5207	0.7216
No log	7.0	154	0.5560	0.3931	0.5560	0.7457
No log	7.0909	156	0.6053	0.3957	0.6053	0.7780
No log	7.1818	158	0.7033	0.3877	0.7033	0.8386
No log	7.2727	160	0.7530	0.4187	0.7530	0.8677
No log	7.3636	162	0.7046	0.4187	0.7046	0.8394
No log	7.4545	164	0.5983	0.3846	0.5983	0.7735
No log	7.5455	166	0.5049	0.6197	0.5049	0.7106
No log	7.6364	168	0.4899	0.4258	0.4899	0.6999
No log	7.7273	170	0.4981	0.5172	0.4981	0.7058
No log	7.8182	172	0.4824	0.4258	0.4824	0.6945
No log	7.9091	174	0.4751	0.6197	0.4751	0.6893
No log	8.0	176	0.4940	0.5633	0.4940	0.7028
No log	8.0909	178	0.5387	0.3521	0.5387	0.7340
No log	8.1818	180	0.5699	0.3521	0.5699	0.7549
No log	8.2727	182	0.5777	0.3521	0.5777	0.7601
No log	8.3636	184	0.5711	0.3521	0.5711	0.7557
No log	8.4545	186	0.5395	0.3463	0.5395	0.7345
No log	8.5455	188	0.5019	0.5633	0.5019	0.7084
No log	8.6364	190	0.4891	0.5817	0.4891	0.6994
No log	8.7273	192	0.4889	0.5817	0.4889	0.6992
No log	8.8182	194	0.4920	0.5817	0.4920	0.7014
No log	8.9091	196	0.4945	0.5817	0.4945	0.7032
No log	9.0	198	0.4991	0.5817	0.4991	0.7065
No log	9.0909	200	0.5034	0.5352	0.5034	0.7095
No log	9.1818	202	0.5093	0.5633	0.5093	0.7137
No log	9.2727	204	0.5178	0.4389	0.5178	0.7196
No log	9.3636	206	0.5318	0.3931	0.5318	0.7293
No log	9.4545	208	0.5409	0.3521	0.5409	0.7354
No log	9.5455	210	0.5420	0.3521	0.5420	0.7362
No log	9.6364	212	0.5405	0.3521	0.5405	0.7352
No log	9.7273	214	0.5341	0.3957	0.5341	0.7308
No log	9.8182	216	0.5304	0.3931	0.5304	0.7283
No log	9.9091	218	0.5272	0.3931	0.5272	0.7261
No log	10.0	220	0.5259	0.3931	0.5259	0.7252

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/Arabic_FineTuningAraBERT_AugV4_k1_task2_organization_fold0

Arabic_FineTuningAraBERT_AugV4_k1_task2_organization_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
Arabic_FineTuningAraBERT_AugV4_k1_task2_organization_fold0