Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.1333	2	1.9364	0.0160	1.9364	1.3915
No log	0.2667	4	0.8912	0.3640	0.8912	0.9440
No log	0.4	6	0.8340	0.2578	0.8340	0.9132
No log	0.5333	8	0.9979	0.4138	0.9979	0.9989
No log	0.6667	10	0.9779	0.5988	0.9779	0.9889
No log	0.8	12	0.8805	0.4138	0.8805	0.9384
No log	0.9333	14	0.7967	0.2578	0.7967	0.8926
No log	1.0667	16	0.7626	0.3548	0.7626	0.8733
No log	1.2	18	0.7250	0.3548	0.7250	0.8515
No log	1.3333	20	0.7186	0.5143	0.7186	0.8477
No log	1.4667	22	0.6818	0.5946	0.6818	0.8257
No log	1.6	24	0.6214	0.6486	0.6214	0.7883
No log	1.7333	26	0.6075	0.7190	0.6075	0.7794
No log	1.8667	28	0.5791	0.7111	0.5791	0.7610
No log	2.0	30	0.5956	0.6667	0.5956	0.7717
No log	2.1333	32	0.7451	0.6146	0.7451	0.8632
No log	2.2667	34	0.9135	0.6383	0.9135	0.9558
No log	2.4	36	0.9091	0.5643	0.9091	0.9535
No log	2.5333	38	0.8624	0.5643	0.8624	0.9287
No log	2.6667	40	0.7877	0.6429	0.7877	0.8875
No log	2.8	42	0.6919	0.6617	0.6919	0.8318
No log	2.9333	44	0.5921	0.6597	0.5921	0.7695
No log	3.0667	46	0.6480	0.5166	0.6480	0.8050
No log	3.2	48	0.6367	0.5130	0.6367	0.7979
No log	3.3333	50	0.6532	0.5614	0.6532	0.8082
No log	3.4667	52	0.6461	0.6829	0.6461	0.8038
No log	3.6	54	0.6056	0.5778	0.6056	0.7782
No log	3.7333	56	0.6114	0.6717	0.6114	0.7819
No log	3.8667	58	0.6817	0.6675	0.6817	0.8257
No log	4.0	60	0.7293	0.6119	0.7293	0.8540
No log	4.1333	62	0.7153	0.6119	0.7153	0.8458
No log	4.2667	64	0.6465	0.6675	0.6465	0.8041
No log	4.4	66	0.5981	0.7111	0.5981	0.7734
No log	4.5333	68	0.4957	0.7136	0.4957	0.7040
No log	4.6667	70	0.4367	0.7393	0.4367	0.6608
No log	4.8	72	0.4449	0.7267	0.4449	0.6670
No log	4.9333	74	0.5156	0.7351	0.5156	0.7180
No log	5.0667	76	0.5743	0.7111	0.5743	0.7578
No log	5.2	78	0.6260	0.6988	0.6260	0.7912
No log	5.3333	80	0.5795	0.7430	0.5795	0.7613
No log	5.4667	82	0.4886	0.7229	0.4886	0.6990
No log	5.6	84	0.4482	0.8091	0.4482	0.6695
No log	5.7333	86	0.3995	0.7554	0.3995	0.6321
No log	5.8667	88	0.3867	0.7305	0.3867	0.6219
No log	6.0	90	0.3935	0.7531	0.3935	0.6273
No log	6.1333	92	0.4594	0.7267	0.4594	0.6778
No log	6.2667	94	0.5896	0.7536	0.5896	0.7679
No log	6.4	96	0.6681	0.7314	0.6681	0.8173
No log	6.5333	98	0.6772	0.7125	0.6772	0.8229
No log	6.6667	100	0.6397	0.7125	0.6397	0.7998
No log	6.8	102	0.5669	0.7111	0.5669	0.7529
No log	6.9333	104	0.5017	0.7351	0.5017	0.7083
No log	7.0667	106	0.4997	0.7351	0.4997	0.7069
No log	7.2	108	0.5004	0.7351	0.5004	0.7074
No log	7.3333	110	0.5144	0.7351	0.5144	0.7172
No log	7.4667	112	0.5586	0.7347	0.5586	0.7474
No log	7.6	114	0.6000	0.7347	0.6000	0.7746
No log	7.7333	116	0.6215	0.7347	0.6215	0.7883
No log	7.8667	118	0.6301	0.7347	0.6301	0.7938
No log	8.0	120	0.6338	0.7347	0.6338	0.7961
No log	8.1333	122	0.6297	0.7347	0.6297	0.7935
No log	8.2667	124	0.6124	0.7347	0.6124	0.7826
No log	8.4	126	0.5915	0.7347	0.5915	0.7691
No log	8.5333	128	0.5907	0.7347	0.5907	0.7686
No log	8.6667	130	0.5802	0.7347	0.5802	0.7617
No log	8.8	132	0.5829	0.7347	0.5829	0.7635
No log	8.9333	134	0.5920	0.7723	0.5920	0.7694
No log	9.0667	136	0.6124	0.7519	0.6124	0.7826
No log	9.2	138	0.6249	0.7519	0.6249	0.7905
No log	9.3333	140	0.6233	0.7519	0.6233	0.7895
No log	9.4667	142	0.6323	0.7519	0.6323	0.7952
No log	9.6	144	0.6468	0.7519	0.6468	0.8042
No log	9.7333	146	0.6549	0.7519	0.6549	0.8093
No log	9.8667	148	0.6610	0.7519	0.6610	0.8130
No log	10.0	150	0.6615	0.7519	0.6615	0.8133

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/Arabic_FineTuningAraBERT_AugV0_k2_task5_organization_fold0

Arabic_FineTuningAraBERT_AugV0_k2_task5_organization_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
Arabic_FineTuningAraBERT_AugV0_k2_task5_organization_fold0