Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.2222	2	2.0658	0.1135	2.0658	1.4373
No log	0.4444	4	1.3271	0.2988	1.3271	1.1520
No log	0.6667	6	1.3150	0.1714	1.3150	1.1467
No log	0.8889	8	1.2979	0.1912	1.2979	1.1392
No log	1.1111	10	1.4157	0.3422	1.4157	1.1899
No log	1.3333	12	1.7593	0.2792	1.7593	1.3264
No log	1.5556	14	1.9919	0.275	1.9919	1.4114
No log	1.7778	16	1.9494	0.2731	1.9494	1.3962
No log	2.0	18	1.8118	0.2461	1.8118	1.3460
No log	2.2222	20	1.7314	0.2276	1.7314	1.3158
No log	2.4444	22	1.6028	0.2368	1.6028	1.2660
No log	2.6667	24	1.5903	0.1805	1.5903	1.2611
No log	2.8889	26	1.6279	0.1890	1.6279	1.2759
No log	3.1111	28	1.7247	0.2903	1.7247	1.3133
No log	3.3333	30	1.8169	0.3230	1.8169	1.3479
No log	3.5556	32	1.8032	0.3049	1.8032	1.3428
No log	3.7778	34	1.7358	0.2335	1.7358	1.3175
No log	4.0	36	1.7385	0.2484	1.7385	1.3185
No log	4.2222	38	1.6834	0.2484	1.6834	1.2975
No log	4.4444	40	1.6417	0.3002	1.6417	1.2813
No log	4.6667	42	1.7163	0.3020	1.7163	1.3101
No log	4.8889	44	1.7572	0.3327	1.7572	1.3256
No log	5.1111	46	1.7348	0.3415	1.7348	1.3171
No log	5.3333	48	1.7044	0.2403	1.7044	1.3055
No log	5.5556	50	1.7034	0.2403	1.7034	1.3051
No log	5.7778	52	1.7345	0.2743	1.7345	1.3170
No log	6.0	54	1.7317	0.2766	1.7317	1.3159
No log	6.2222	56	1.7493	0.2985	1.7493	1.3226
No log	6.4444	58	1.8029	0.3259	1.8029	1.3427
No log	6.6667	60	1.8469	0.2832	1.8469	1.3590
No log	6.8889	62	1.8535	0.2700	1.8535	1.3614
No log	7.1111	64	1.8487	0.2660	1.8487	1.3597
No log	7.3333	66	1.8317	0.2860	1.8317	1.3534
No log	7.5556	68	1.8354	0.2962	1.8354	1.3548
No log	7.7778	70	1.7934	0.2962	1.7934	1.3392
No log	8.0	72	1.8129	0.2962	1.8129	1.3465
No log	8.2222	74	1.8949	0.2640	1.8949	1.3766
No log	8.4444	76	1.9695	0.2680	1.9695	1.4034
No log	8.6667	78	1.9979	0.2700	1.9979	1.4135
No log	8.8889	80	2.0420	0.2491	2.0420	1.4290
No log	9.1111	82	2.0579	0.2400	2.0579	1.4345
No log	9.3333	84	2.0521	0.2400	2.0521	1.4325
No log	9.5556	86	2.0463	0.2605	2.0463	1.4305
No log	9.7778	88	2.0399	0.2605	2.0399	1.4283
No log	10.0	90	2.0345	0.2605	2.0345	1.4263

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits_FineTuningAraBERT_AugV5_k4_task5_organization_fold0

ArabicNewSplits_FineTuningAraBERT_AugV5_k4_task5_organization_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits_FineTuningAraBERT_AugV5_k4_task5_organization_fold0