Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.2222	2	4.7780	-0.0582	4.7780	2.1859
No log	0.4444	4	3.1128	0.1066	3.1128	1.7643
No log	0.6667	6	2.0032	0.1713	2.0032	1.4153
No log	0.8889	8	1.2087	0.2215	1.2087	1.0994
No log	1.1111	10	1.0608	0.2530	1.0608	1.0299
No log	1.3333	12	1.0632	0.3827	1.0632	1.0311
No log	1.5556	14	1.2407	0.3485	1.2407	1.1139
No log	1.7778	16	1.0530	0.3684	1.0530	1.0262
No log	2.0	18	0.9129	0.4613	0.9129	0.9555
No log	2.2222	20	0.8556	0.5	0.8556	0.9250
No log	2.4444	22	1.0047	0.4265	1.0047	1.0023
No log	2.6667	24	1.0017	0.4306	1.0017	1.0008
No log	2.8889	26	0.7764	0.5206	0.7764	0.8811
No log	3.1111	28	0.7065	0.6373	0.7065	0.8406
No log	3.3333	30	0.7061	0.6282	0.7061	0.8403
No log	3.5556	32	0.8003	0.6119	0.8003	0.8946
No log	3.7778	34	0.9348	0.5889	0.9348	0.9668
No log	4.0	36	0.8889	0.6241	0.8889	0.9428
No log	4.2222	38	0.7831	0.6505	0.7831	0.8849
No log	4.4444	40	0.7470	0.6769	0.7470	0.8643
No log	4.6667	42	0.8496	0.6230	0.8496	0.9217
No log	4.8889	44	0.8149	0.6241	0.8149	0.9027
No log	5.1111	46	0.7461	0.6932	0.7461	0.8638
No log	5.3333	48	0.8198	0.6382	0.8198	0.9054
No log	5.5556	50	0.8182	0.6039	0.8182	0.9046
No log	5.7778	52	0.7212	0.7030	0.7212	0.8492
No log	6.0	54	0.7459	0.7208	0.7459	0.8636
No log	6.2222	56	0.7669	0.6970	0.7669	0.8757
No log	6.4444	58	0.7488	0.7	0.7488	0.8653
No log	6.6667	60	0.7425	0.6872	0.7425	0.8617
No log	6.8889	62	0.8120	0.6530	0.8120	0.9011
No log	7.1111	64	0.8103	0.6713	0.8103	0.9001
No log	7.3333	66	0.8061	0.6777	0.8061	0.8978
No log	7.5556	68	0.7488	0.6872	0.7488	0.8653
No log	7.7778	70	0.7326	0.6877	0.7326	0.8559
No log	8.0	72	0.7338	0.6877	0.7338	0.8566
No log	8.2222	74	0.7250	0.6662	0.7250	0.8515
No log	8.4444	76	0.7223	0.6662	0.7223	0.8499
No log	8.6667	78	0.7172	0.6662	0.7172	0.8469
No log	8.8889	80	0.7163	0.6662	0.7163	0.8463
No log	9.1111	82	0.7150	0.6662	0.7150	0.8456
No log	9.3333	84	0.7146	0.6662	0.7146	0.8453
No log	9.5556	86	0.7161	0.6693	0.7161	0.8462
No log	9.7778	88	0.7169	0.6693	0.7169	0.8467
No log	10.0	90	0.7176	0.6693	0.7176	0.8471

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits3_FineTuningAraBERT_run3_AugV5_k1_task1_organization

ArabicNewSplits3_FineTuningAraBERT_run3_AugV5_k1_task1_organization

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits3_FineTuningAraBERT_run3_AugV5_k1_task1_organization