Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.0909	2	1.8444	0.1557	1.8444	1.3581
No log	0.1818	4	1.0410	0.0268	1.0410	1.0203
No log	0.2727	6	1.0216	0.2164	1.0216	1.0108
No log	0.3636	8	0.9207	0.2578	0.9207	0.9595
No log	0.4545	10	0.8681	0.2578	0.8681	0.9317
No log	0.5455	12	0.8933	0.3050	0.8933	0.9451
No log	0.6364	14	0.9212	0.4403	0.9212	0.9598
No log	0.7273	16	0.9096	0.4946	0.9096	0.9538
No log	0.8182	18	0.8065	0.5357	0.8065	0.8981
No log	0.9091	20	0.7704	0.5760	0.7704	0.8777
No log	1.0	22	0.6399	0.4403	0.6399	0.7999
No log	1.0909	24	0.7594	0.2578	0.7594	0.8715
No log	1.1818	26	0.8865	0.3407	0.8865	0.9415
No log	1.2727	28	0.8881	0.3407	0.8881	0.9424
No log	1.3636	30	0.8261	0.3448	0.8261	0.9089
No log	1.4545	32	0.6584	0.5195	0.6584	0.8114
No log	1.5455	34	0.5197	0.6375	0.5197	0.7209
No log	1.6364	36	0.8714	0.4379	0.8714	0.9335
No log	1.7273	38	1.1382	0.2857	1.1382	1.0669
No log	1.8182	40	0.9904	0.3314	0.9904	0.9952
No log	1.9091	42	0.6807	0.6960	0.6807	0.8250
No log	2.0	44	0.5777	0.6215	0.5777	0.7600
No log	2.0909	46	0.6061	0.5860	0.6061	0.7786
No log	2.1818	48	0.6522	0.4754	0.6522	0.8076
No log	2.2727	50	0.6795	0.4754	0.6795	0.8243
No log	2.3636	52	0.7260	0.5342	0.7260	0.8520
No log	2.4545	54	0.7495	0.5870	0.7495	0.8657
No log	2.5455	56	0.7779	0.6069	0.7779	0.8820
No log	2.6364	58	0.7597	0.6069	0.7597	0.8716
No log	2.7273	60	0.6645	0.6783	0.6645	0.8152
No log	2.8182	62	0.5246	0.6522	0.5246	0.7243
No log	2.9091	64	0.4944	0.5860	0.4944	0.7031
No log	3.0	66	0.5261	0.6562	0.5261	0.7253
No log	3.0909	68	0.5388	0.7239	0.5388	0.7341
No log	3.1818	70	0.5549	0.6960	0.5550	0.7449
No log	3.2727	72	0.5231	0.6875	0.5231	0.7232
No log	3.3636	74	0.4607	0.6215	0.4607	0.6788
No log	3.4545	76	0.4278	0.6375	0.4278	0.6540
No log	3.5455	78	0.4896	0.7995	0.4896	0.6997
No log	3.6364	80	0.6569	0.6622	0.6569	0.8105
No log	3.7273	82	0.7740	0.6725	0.7740	0.8798
No log	3.8182	84	0.8078	0.6211	0.8078	0.8988
No log	3.9091	86	0.8089	0.6211	0.8089	0.8994
No log	4.0	88	0.7338	0.6963	0.7338	0.8566
No log	4.0909	90	0.6483	0.7198	0.6483	0.8052
No log	4.1818	92	0.5264	0.7229	0.5264	0.7255
No log	4.2727	94	0.4406	0.6931	0.4406	0.6638
No log	4.3636	96	0.4364	0.6817	0.4364	0.6606
No log	4.4545	98	0.4477	0.6931	0.4477	0.6691
No log	4.5455	100	0.4714	0.6811	0.4714	0.6866
No log	4.6364	102	0.4654	0.6811	0.4654	0.6822
No log	4.7273	104	0.4511	0.6854	0.4511	0.6716
No log	4.8182	106	0.4302	0.6977	0.4302	0.6559
No log	4.9091	108	0.4294	0.6995	0.4294	0.6553
No log	5.0	110	0.4243	0.7290	0.4243	0.6514
No log	5.0909	112	0.3967	0.6694	0.3967	0.6298
No log	5.1818	114	0.4205	0.7267	0.4205	0.6485
No log	5.2727	116	0.4734	0.7018	0.4734	0.6880
No log	5.3636	118	0.5302	0.7556	0.5302	0.7281
No log	5.4545	120	0.5618	0.7351	0.5618	0.7496
No log	5.5455	122	0.5022	0.7588	0.5022	0.7087
No log	5.6364	124	0.4897	0.7588	0.4897	0.6998
No log	5.7273	126	0.5134	0.7588	0.5134	0.7165
No log	5.8182	128	0.5473	0.7588	0.5473	0.7398
No log	5.9091	130	0.6355	0.7351	0.6355	0.7972
No log	6.0	132	0.7419	0.7234	0.7419	0.8614
No log	6.0909	134	0.7913	0.7234	0.7913	0.8896
No log	6.1818	136	0.7310	0.7234	0.7310	0.8550
No log	6.2727	138	0.6173	0.7588	0.6173	0.7857
No log	6.3636	140	0.4788	0.7495	0.4788	0.6920
No log	6.4545	142	0.4385	0.7495	0.4385	0.6622
No log	6.5455	144	0.4446	0.7495	0.4446	0.6668
No log	6.6364	146	0.4475	0.7495	0.4475	0.6690
No log	6.7273	148	0.4780	0.7495	0.4780	0.6914
No log	6.8182	150	0.5332	0.7588	0.5332	0.7302
No log	6.9091	152	0.5475	0.7588	0.5475	0.7399
No log	7.0	154	0.5115	0.7588	0.5115	0.7152
No log	7.0909	156	0.4673	0.7588	0.4673	0.6836
No log	7.1818	158	0.4532	0.7588	0.4532	0.6732
No log	7.2727	160	0.4755	0.7588	0.4755	0.6896
No log	7.3636	162	0.5405	0.7588	0.5405	0.7352
No log	7.4545	164	0.5786	0.7588	0.5786	0.7607
No log	7.5455	166	0.5733	0.7588	0.5733	0.7571
No log	7.6364	168	0.5303	0.7588	0.5303	0.7282
No log	7.7273	170	0.5208	0.7588	0.5208	0.7217
No log	7.8182	172	0.5221	0.7588	0.5221	0.7225
No log	7.9091	174	0.5326	0.7588	0.5326	0.7298
No log	8.0	176	0.5036	0.7718	0.5036	0.7096
No log	8.0909	178	0.4861	0.7718	0.4861	0.6972
No log	8.1818	180	0.4986	0.7718	0.4986	0.7061
No log	8.2727	182	0.5315	0.7495	0.5315	0.7291
No log	8.3636	184	0.5574	0.7588	0.5574	0.7466
No log	8.4545	186	0.5892	0.7588	0.5892	0.7676
No log	8.5455	188	0.6091	0.7588	0.6091	0.7805
No log	8.6364	190	0.6198	0.7588	0.6198	0.7872
No log	8.7273	192	0.6258	0.7588	0.6258	0.7911
No log	8.8182	194	0.6144	0.7588	0.6144	0.7838
No log	8.9091	196	0.6134	0.7588	0.6134	0.7832
No log	9.0	198	0.5938	0.7588	0.5938	0.7706
No log	9.0909	200	0.5655	0.7588	0.5655	0.7520
No log	9.1818	202	0.5489	0.7588	0.5489	0.7409
No log	9.2727	204	0.5461	0.7588	0.5461	0.7390
No log	9.3636	206	0.5511	0.7588	0.5511	0.7423
No log	9.4545	208	0.5584	0.7588	0.5584	0.7472
No log	9.5455	210	0.5715	0.7588	0.5715	0.7560
No log	9.6364	212	0.5814	0.7588	0.5814	0.7625
No log	9.7273	214	0.5846	0.7588	0.5846	0.7646
No log	9.8182	216	0.5831	0.7588	0.5831	0.7636
No log	9.9091	218	0.5815	0.7588	0.5815	0.7626
No log	10.0	220	0.5808	0.7588	0.5808	0.7621

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/Arabic_FineTuningAraBERT_AugV5_k3_task5_organization_fold0

Arabic_FineTuningAraBERT_AugV5_k3_task5_organization_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
Arabic_FineTuningAraBERT_AugV5_k3_task5_organization_fold0