Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.1176	2	4.3918	-0.0341	4.3918	2.0957
No log	0.2353	4	2.4326	0.0947	2.4326	1.5597
No log	0.3529	6	1.6498	0.1552	1.6498	1.2844
No log	0.4706	8	1.1942	0.0660	1.1942	1.0928
No log	0.5882	10	1.2102	0.1403	1.2102	1.1001
No log	0.7059	12	1.1292	0.1522	1.1292	1.0626
No log	0.8235	14	1.0236	0.2044	1.0236	1.0117
No log	0.9412	16	0.9422	0.2916	0.9422	0.9707
No log	1.0588	18	1.0251	0.2932	1.0251	1.0125
No log	1.1765	20	1.0461	0.2739	1.0461	1.0228
No log	1.2941	22	0.8910	0.3095	0.8910	0.9439
No log	1.4118	24	0.8394	0.3741	0.8394	0.9162
No log	1.5294	26	0.8009	0.3835	0.8009	0.8949
No log	1.6471	28	0.8368	0.4850	0.8368	0.9148
No log	1.7647	30	0.8196	0.4847	0.8196	0.9053
No log	1.8824	32	0.7464	0.3975	0.7464	0.8639
No log	2.0	34	0.7470	0.4109	0.7470	0.8643
No log	2.1176	36	0.9957	0.2883	0.9957	0.9979
No log	2.2353	38	1.0749	0.2792	1.0749	1.0368
No log	2.3529	40	1.1193	0.2135	1.1193	1.0580
No log	2.4706	42	0.9715	0.4532	0.9715	0.9857
No log	2.5882	44	0.7236	0.6039	0.7236	0.8506
No log	2.7059	46	0.6531	0.6032	0.6531	0.8081
No log	2.8235	48	0.6491	0.6018	0.6491	0.8057
No log	2.9412	50	0.6516	0.6256	0.6516	0.8072
No log	3.0588	52	0.6701	0.6325	0.6701	0.8186
No log	3.1765	54	0.7039	0.6025	0.7039	0.8390
No log	3.2941	56	0.8523	0.5693	0.8523	0.9232
No log	3.4118	58	1.2737	0.4208	1.2737	1.1286
No log	3.5294	60	1.3163	0.4224	1.3163	1.1473
No log	3.6471	62	1.2063	0.4239	1.2063	1.0983
No log	3.7647	64	1.3000	0.4269	1.3000	1.1402
No log	3.8824	66	1.1928	0.4454	1.1928	1.0922
No log	4.0	68	1.5995	0.3151	1.5995	1.2647
No log	4.1176	70	1.6383	0.3151	1.6383	1.2800
No log	4.2353	72	1.2126	0.4372	1.2126	1.1012
No log	4.3529	74	1.0564	0.4624	1.0564	1.0278
No log	4.4706	76	1.1189	0.4714	1.1189	1.0578
No log	4.5882	78	1.3944	0.3661	1.3944	1.1808
No log	4.7059	80	1.6345	0.3241	1.6345	1.2785
No log	4.8235	82	1.8221	0.3078	1.8221	1.3499
No log	4.9412	84	1.4992	0.3571	1.4992	1.2244
No log	5.0588	86	1.0564	0.5082	1.0564	1.0278
No log	5.1765	88	0.9232	0.5230	0.9232	0.9608
No log	5.2941	90	0.9690	0.4921	0.9690	0.9844
No log	5.4118	92	1.2210	0.4208	1.2210	1.1050
No log	5.5294	94	1.6234	0.3319	1.6234	1.2741
No log	5.6471	96	1.8870	0.3048	1.8870	1.3737
No log	5.7647	98	2.1101	0.2407	2.1101	1.4526
No log	5.8824	100	1.9191	0.2893	1.9191	1.3853
No log	6.0	102	1.5462	0.3401	1.5462	1.2435
No log	6.1176	104	1.0941	0.4560	1.0941	1.0460
No log	6.2353	106	0.8304	0.5461	0.8304	0.9112
No log	6.3529	108	0.7843	0.6120	0.7843	0.8856
No log	6.4706	110	0.8554	0.5549	0.8554	0.9249
No log	6.5882	112	1.0608	0.5016	1.0608	1.0299
No log	6.7059	114	1.3923	0.3596	1.3923	1.1800
No log	6.8235	116	1.6501	0.3346	1.6501	1.2846
No log	6.9412	118	1.7946	0.2856	1.7946	1.3396
No log	7.0588	120	1.8287	0.2856	1.8287	1.3523
No log	7.1765	122	1.6776	0.3274	1.6776	1.2952
No log	7.2941	124	1.4781	0.3643	1.4781	1.2158
No log	7.4118	126	1.4297	0.3905	1.4297	1.1957
No log	7.5294	128	1.3557	0.3791	1.3557	1.1643
No log	7.6471	130	1.2505	0.3978	1.2505	1.1182
No log	7.7647	132	1.2612	0.3791	1.2612	1.1230
No log	7.8824	134	1.4037	0.3865	1.4037	1.1848
No log	8.0	136	1.4602	0.3865	1.4602	1.2084
No log	8.1176	138	1.5068	0.3684	1.5068	1.2275
No log	8.2353	140	1.5300	0.3706	1.5300	1.2369
No log	8.3529	142	1.5578	0.3706	1.5578	1.2481
No log	8.4706	144	1.4696	0.3748	1.4696	1.2123
No log	8.5882	146	1.2989	0.3967	1.2989	1.1397
No log	8.7059	148	1.1432	0.4035	1.1432	1.0692
No log	8.8235	150	1.1049	0.4153	1.1049	1.0511
No log	8.9412	152	1.1254	0.3958	1.1254	1.0609
No log	9.0588	154	1.1845	0.3967	1.1845	1.0883
No log	9.1765	156	1.2815	0.3967	1.2815	1.1321
No log	9.2941	158	1.3933	0.3748	1.3933	1.1804
No log	9.4118	160	1.4653	0.3769	1.4653	1.2105
No log	9.5294	162	1.4968	0.3706	1.4968	1.2234
No log	9.6471	164	1.5330	0.3728	1.5330	1.2381
No log	9.7647	166	1.5683	0.3687	1.5683	1.2523
No log	9.8824	168	1.5808	0.3687	1.5808	1.2573
No log	10.0	170	1.5853	0.3687	1.5853	1.2591

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits_FineTuningAraBERT_AugV5_k3_task1_organization_fold0

ArabicNewSplits_FineTuningAraBERT_AugV5_k3_task1_organization_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits_FineTuningAraBERT_AugV5_k3_task1_organization_fold0