Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.0909	2	2.1136	0.1176	2.1136	1.4538
No log	0.1818	4	1.2575	-0.0544	1.2575	1.1214
No log	0.2727	6	1.1586	0.2381	1.1586	1.0764
No log	0.3636	8	1.2912	0.25	1.2912	1.1363
No log	0.4545	10	1.3081	0.2593	1.3081	1.1437
No log	0.5455	12	1.1035	0.2635	1.1035	1.0505
No log	0.6364	14	1.0014	0.3734	1.0014	1.0007
No log	0.7273	16	0.9408	0.4582	0.9408	0.9699
No log	0.8182	18	0.9309	0.6558	0.9309	0.9648
No log	0.9091	20	0.9254	0.6545	0.9254	0.9620
No log	1.0	22	1.2094	0.5156	1.2094	1.0997
No log	1.0909	24	1.2021	0.5231	1.2021	1.0964
No log	1.1818	26	0.9439	0.6262	0.9439	0.9715
No log	1.2727	28	0.7268	0.7138	0.7268	0.8525
No log	1.3636	30	0.6313	0.7526	0.6313	0.7946
No log	1.4545	32	0.5942	0.7273	0.5942	0.7709
No log	1.5455	34	0.7487	0.6491	0.7487	0.8653
No log	1.6364	36	1.2078	0.5118	1.2078	1.0990
No log	1.7273	38	1.2001	0.5025	1.2001	1.0955
No log	1.8182	40	0.8141	0.6477	0.8141	0.9023
No log	1.9091	42	0.6726	0.6654	0.6726	0.8201
No log	2.0	44	0.6786	0.6660	0.6786	0.8238
No log	2.0909	46	0.8612	0.5841	0.8612	0.9280
No log	2.1818	48	0.7826	0.6753	0.7826	0.8847
No log	2.2727	50	0.7108	0.6322	0.7108	0.8431
No log	2.3636	52	0.8363	0.5800	0.8363	0.9145
No log	2.4545	54	1.0890	0.5353	1.0890	1.0435
No log	2.5455	56	1.1805	0.4965	1.1805	1.0865
No log	2.6364	58	0.9180	0.6086	0.9180	0.9581
No log	2.7273	60	0.7833	0.6125	0.7833	0.8850
No log	2.8182	62	0.7091	0.7487	0.7091	0.8421
No log	2.9091	64	0.7205	0.6901	0.7205	0.8488
No log	3.0	66	0.6262	0.6652	0.6262	0.7914
No log	3.0909	68	0.6255	0.6499	0.6255	0.7909
No log	3.1818	70	0.7897	0.6042	0.7897	0.8886
No log	3.2727	72	0.8799	0.6042	0.8799	0.9380
No log	3.3636	74	0.7573	0.6042	0.7573	0.8702
No log	3.4545	76	0.7203	0.6042	0.7203	0.8487
No log	3.5455	78	0.8701	0.6464	0.8701	0.9328
No log	3.6364	80	1.0192	0.5660	1.0192	1.0096
No log	3.7273	82	0.8156	0.7222	0.8156	0.9031
No log	3.8182	84	0.5730	0.6514	0.5730	0.7569
No log	3.9091	86	0.5427	0.7279	0.5427	0.7367
No log	4.0	88	0.5750	0.7222	0.5750	0.7583
No log	4.0909	90	0.7104	0.7160	0.7104	0.8429
No log	4.1818	92	0.7315	0.7160	0.7315	0.8553
No log	4.2727	94	0.6853	0.7160	0.6853	0.8279
No log	4.3636	96	0.6331	0.7198	0.6331	0.7957
No log	4.4545	98	0.6820	0.6606	0.6820	0.8258
No log	4.5455	100	0.7901	0.6464	0.7901	0.8889
No log	4.6364	102	0.7336	0.7222	0.7336	0.8565
No log	4.7273	104	0.6054	0.7373	0.6054	0.7781
No log	4.8182	106	0.5502	0.7461	0.5502	0.7418
No log	4.9091	108	0.5503	0.7614	0.5503	0.7418
No log	5.0	110	0.5632	0.7461	0.5632	0.7505
No log	5.0909	112	0.6821	0.7009	0.6821	0.8259
No log	5.1818	114	0.8242	0.6741	0.8242	0.9079
No log	5.2727	116	0.8672	0.6741	0.8672	0.9312
No log	5.3636	118	0.8649	0.6741	0.8649	0.9300
No log	5.4545	120	0.9027	0.6741	0.9027	0.9501
No log	5.5455	122	0.9668	0.5628	0.9668	0.9833
No log	5.6364	124	0.9079	0.6346	0.9079	0.9528
No log	5.7273	126	0.8667	0.6741	0.8667	0.9310
No log	5.8182	128	0.7539	0.6917	0.7539	0.8683
No log	5.9091	130	0.7457	0.6792	0.7457	0.8636
No log	6.0	132	0.8102	0.7243	0.8102	0.9001
No log	6.0909	134	0.9590	0.6716	0.9590	0.9793
No log	6.1818	136	0.9975	0.6713	0.9975	0.9987
No log	6.2727	138	0.9940	0.5878	0.9940	0.9970
No log	6.3636	140	0.8616	0.6741	0.8616	0.9282
No log	6.4545	142	0.7320	0.6909	0.7320	0.8556
No log	6.5455	144	0.6993	0.6909	0.6993	0.8363
No log	6.6364	146	0.7147	0.6909	0.7147	0.8454
No log	6.7273	148	0.6752	0.6909	0.6752	0.8217
No log	6.8182	150	0.6662	0.6909	0.6662	0.8162
No log	6.9091	152	0.7121	0.6888	0.7121	0.8438
No log	7.0	154	0.8556	0.7222	0.8556	0.9250
No log	7.0909	156	0.9659	0.6046	0.9659	0.9828
No log	7.1818	158	0.9594	0.6046	0.9594	0.9795
No log	7.2727	160	0.9181	0.6837	0.9181	0.9582
No log	7.3636	162	0.8535	0.6888	0.8535	0.9239
No log	7.4545	164	0.7461	0.6881	0.7461	0.8637
No log	7.5455	166	0.7099	0.6756	0.7099	0.8425
No log	7.6364	168	0.6998	0.6768	0.6998	0.8365
No log	7.7273	170	0.7194	0.6768	0.7194	0.8482
No log	7.8182	172	0.7608	0.6888	0.7608	0.8723
No log	7.9091	174	0.7932	0.6888	0.7932	0.8906
No log	8.0	176	0.8262	0.6888	0.8262	0.9090
No log	8.0909	178	0.8291	0.6888	0.8291	0.9106
No log	8.1818	180	0.8499	0.6888	0.8499	0.9219
No log	8.2727	182	0.9076	0.6741	0.9076	0.9527
No log	8.3636	184	0.9265	0.5463	0.9265	0.9626
No log	8.4545	186	0.9220	0.5962	0.9220	0.9602
No log	8.5455	188	0.8767	0.6888	0.8767	0.9363
No log	8.6364	190	0.8179	0.6888	0.8179	0.9044
No log	8.7273	192	0.7681	0.6888	0.7681	0.8764
No log	8.8182	194	0.7454	0.7172	0.7454	0.8634
No log	8.9091	196	0.7413	0.7172	0.7413	0.8610
No log	9.0	198	0.7535	0.7172	0.7535	0.8681
No log	9.0909	200	0.7765	0.6881	0.7765	0.8812
No log	9.1818	202	0.8164	0.6888	0.8164	0.9036
No log	9.2727	204	0.8608	0.6888	0.8608	0.9278
No log	9.3636	206	0.8996	0.6741	0.8996	0.9485
No log	9.4545	208	0.9287	0.5463	0.9287	0.9637
No log	9.5455	210	0.9388	0.5463	0.9388	0.9689
No log	9.6364	212	0.9408	0.5463	0.9408	0.9700
No log	9.7273	214	0.9323	0.5463	0.9323	0.9656
No log	9.8182	216	0.9199	0.5463	0.9199	0.9591
No log	9.9091	218	0.9129	0.6741	0.9129	0.9555
No log	10.0	220	0.9115	0.6741	0.9115	0.9547

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/Arabic_FineTuningAraBERT_AugV4_k1_task5_organization_fold1

Arabic_FineTuningAraBERT_AugV4_k1_task5_organization_fold1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
Arabic_FineTuningAraBERT_AugV4_k1_task5_organization_fold1