Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.1111	2	4.1526	-0.0570	4.1526	2.0378
No log	0.2222	4	2.5872	-0.0538	2.5872	1.6085
No log	0.3333	6	1.4537	0.1519	1.4537	1.2057
No log	0.4444	8	1.3463	0.1506	1.3463	1.1603
No log	0.5556	10	1.3172	0.1541	1.3172	1.1477
No log	0.6667	12	1.4646	-0.0870	1.4646	1.2102
No log	0.7778	14	1.4634	0.0741	1.4634	1.2097
No log	0.8889	16	1.2498	0.0741	1.2498	1.1179
No log	1.0	18	1.0451	0.3393	1.0451	1.0223
No log	1.1111	20	1.0042	0.2657	1.0042	1.0021
No log	1.2222	22	0.9498	0.3403	0.9498	0.9746
No log	1.3333	24	0.8949	0.4481	0.8949	0.9460
No log	1.4444	26	0.8669	0.3355	0.8669	0.9311
No log	1.5556	28	0.8982	0.3354	0.8982	0.9477
No log	1.6667	30	0.8855	0.3846	0.8855	0.9410
No log	1.7778	32	0.8630	0.4262	0.8630	0.9290
No log	1.8889	34	0.9746	0.3681	0.9746	0.9872
No log	2.0	36	1.0171	0.4503	1.0171	1.0085
No log	2.1111	38	0.9685	0.4366	0.9685	0.9841
No log	2.2222	40	0.9114	0.4	0.9114	0.9547
No log	2.3333	42	0.8667	0.4460	0.8667	0.9310
No log	2.4444	44	0.9256	0.4460	0.9256	0.9621
No log	2.5556	46	0.8992	0.3872	0.8992	0.9482
No log	2.6667	48	0.8991	0.3716	0.8991	0.9482
No log	2.7778	50	0.9243	0.4102	0.9243	0.9614
No log	2.8889	52	0.9310	0.5026	0.9310	0.9649
No log	3.0	54	0.8936	0.4231	0.8936	0.9453
No log	3.1111	56	0.7967	0.5225	0.7967	0.8926
No log	3.2222	58	0.7798	0.4837	0.7798	0.8830
No log	3.3333	60	0.7967	0.5225	0.7967	0.8926
No log	3.4444	62	0.8475	0.4667	0.8475	0.9206
No log	3.5556	64	0.8125	0.4133	0.8125	0.9014
No log	3.6667	66	0.7599	0.5225	0.7599	0.8717
No log	3.7778	68	0.7155	0.5251	0.7155	0.8459
No log	3.8889	70	0.6979	0.5251	0.6979	0.8354
No log	4.0	72	0.7367	0.5078	0.7367	0.8583
No log	4.1111	74	0.9073	0.5227	0.9073	0.9525
No log	4.2222	76	1.0606	0.5736	1.0606	1.0299
No log	4.3333	78	1.0237	0.5736	1.0237	1.0118
No log	4.4444	80	0.8405	0.4896	0.8405	0.9168
No log	4.5556	82	0.7951	0.5862	0.7951	0.8917
No log	4.6667	84	0.7695	0.5862	0.7695	0.8772
No log	4.7778	86	0.7849	0.5862	0.7849	0.8859
No log	4.8889	88	0.8886	0.4673	0.8886	0.9426
No log	5.0	90	0.9557	0.4796	0.9557	0.9776
No log	5.1111	92	0.8894	0.4575	0.8894	0.9431
No log	5.2222	94	0.8684	0.4575	0.8684	0.9319
No log	5.3333	96	0.9194	0.4796	0.9194	0.9589
No log	5.4444	98	0.9209	0.4673	0.9209	0.9596
No log	5.5556	100	0.9021	0.4575	0.9021	0.9498
No log	5.6667	102	0.8287	0.5181	0.8287	0.9103
No log	5.7778	104	0.7281	0.5320	0.7281	0.8533
No log	5.8889	106	0.7057	0.6009	0.7057	0.8400
No log	6.0	108	0.7300	0.5862	0.7300	0.8544
No log	6.1111	110	0.8125	0.5843	0.8125	0.9014
No log	6.2222	112	0.9028	0.4896	0.9028	0.9502
No log	6.3333	114	0.9620	0.5682	0.9620	0.9808
No log	6.4444	116	1.0277	0.5930	1.0277	1.0138
No log	6.5556	118	0.9967	0.5852	0.9967	0.9983
No log	6.6667	120	0.9189	0.5682	0.9189	0.9586
No log	6.7778	122	0.9081	0.6009	0.9081	0.9530
No log	6.8889	124	0.8743	0.6606	0.8743	0.9350
No log	7.0	126	0.9375	0.6042	0.9375	0.9682
No log	7.1111	128	1.0355	0.6042	1.0355	1.0176
No log	7.2222	130	1.0064	0.6042	1.0064	1.0032
No log	7.3333	132	1.0180	0.5285	1.0180	1.0090
No log	7.4444	134	1.0501	0.4981	1.0501	1.0248
No log	7.5556	136	0.9797	0.6042	0.9797	0.9898
No log	7.6667	138	0.8622	0.6154	0.8622	0.9286
No log	7.7778	140	0.7877	0.6026	0.7877	0.8875
No log	7.8889	142	0.7239	0.6145	0.7239	0.8508
No log	8.0	144	0.7122	0.6145	0.7122	0.8439
No log	8.1111	146	0.7312	0.6145	0.7312	0.8551
No log	8.2222	148	0.7789	0.5991	0.7789	0.8825
No log	8.3333	150	0.8559	0.6154	0.8559	0.9251
No log	8.4444	152	0.9300	0.6464	0.9300	0.9643
No log	8.5556	154	0.9766	0.6464	0.9766	0.9882
No log	8.6667	156	0.9676	0.6464	0.9676	0.9837
No log	8.7778	158	0.9228	0.6042	0.9228	0.9606
No log	8.8889	160	0.8762	0.5843	0.8762	0.9360
No log	9.0	162	0.8502	0.5721	0.8502	0.9220
No log	9.1111	164	0.8302	0.5721	0.8302	0.9112
No log	9.2222	166	0.8212	0.5721	0.8212	0.9062
No log	9.3333	168	0.8108	0.5721	0.8108	0.9004
No log	9.4444	170	0.8168	0.5721	0.8168	0.9038
No log	9.5556	172	0.8225	0.5721	0.8225	0.9069
No log	9.6667	174	0.8258	0.5721	0.8258	0.9087
No log	9.7778	176	0.8294	0.5721	0.8294	0.9107
No log	9.8889	178	0.8354	0.5721	0.8354	0.9140
No log	10.0	180	0.8384	0.5721	0.8384	0.9157

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/Arabic_FineTuningAraBERT_AugV0_k3_task5_organization_fold1

Arabic_FineTuningAraBERT_AugV0_k3_task5_organization_fold1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
Arabic_FineTuningAraBERT_AugV0_k3_task5_organization_fold1