Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.0833	2	4.7683	-0.0070	4.7683	2.1837
No log	0.1667	4	2.7552	0.0116	2.7552	1.6599
No log	0.25	6	1.7406	0.0825	1.7406	1.3193
No log	0.3333	8	1.5005	0.0769	1.5005	1.2250
No log	0.4167	10	1.2162	0.1655	1.2162	1.1028
No log	0.5	12	1.2866	0.1466	1.2866	1.1343
No log	0.5833	14	1.1563	0.2964	1.1563	1.0753
No log	0.6667	16	1.0360	0.4416	1.0360	1.0178
No log	0.75	18	0.9937	0.4273	0.9937	0.9969
No log	0.8333	20	1.0781	0.3971	1.0781	1.0383
No log	0.9167	22	1.0792	0.4340	1.0792	1.0388
No log	1.0	24	0.9068	0.4771	0.9068	0.9523
No log	1.0833	26	0.8443	0.5053	0.8443	0.9189
No log	1.1667	28	0.8189	0.4734	0.8189	0.9049
No log	1.25	30	0.8595	0.4734	0.8595	0.9271
No log	1.3333	32	0.8812	0.4625	0.8812	0.9387
No log	1.4167	34	0.8220	0.4594	0.8220	0.9067
No log	1.5	36	0.7911	0.4814	0.7911	0.8894
No log	1.5833	38	0.7512	0.5018	0.7512	0.8667
No log	1.6667	40	0.7128	0.5625	0.7128	0.8443
No log	1.75	42	0.6737	0.6199	0.6737	0.8208
No log	1.8333	44	0.6652	0.6433	0.6652	0.8156
No log	1.9167	46	0.6812	0.5668	0.6812	0.8253
No log	2.0	48	0.6829	0.5668	0.6829	0.8264
No log	2.0833	50	0.6650	0.6075	0.6650	0.8154
No log	2.1667	52	0.6858	0.5127	0.6858	0.8281
No log	2.25	54	0.7269	0.6795	0.7269	0.8526
No log	2.3333	56	0.6111	0.6795	0.6111	0.7817
No log	2.4167	58	0.5636	0.6990	0.5636	0.7507
No log	2.5	60	0.5695	0.6424	0.5695	0.7547
No log	2.5833	62	0.5343	0.7027	0.5343	0.7309
No log	2.6667	64	0.6578	0.6711	0.6578	0.8110
No log	2.75	66	0.7938	0.6092	0.7938	0.8909
No log	2.8333	68	0.5828	0.7109	0.5828	0.7634
No log	2.9167	70	0.4940	0.6757	0.4940	0.7029
No log	3.0	72	0.6954	0.5933	0.6954	0.8339
No log	3.0833	74	0.7491	0.5128	0.7491	0.8655
No log	3.1667	76	0.6390	0.5884	0.6390	0.7993
No log	3.25	78	0.5424	0.7071	0.5424	0.7364
No log	3.3333	80	0.5381	0.7188	0.5381	0.7335
No log	3.4167	82	0.5302	0.7188	0.5302	0.7282
No log	3.5	84	0.5141	0.7418	0.5141	0.7170
No log	3.5833	86	0.5620	0.7173	0.5620	0.7497
No log	3.6667	88	0.5979	0.6271	0.5979	0.7732
No log	3.75	90	0.5926	0.6271	0.5926	0.7698
No log	3.8333	92	0.5108	0.7744	0.5108	0.7147
No log	3.9167	94	0.4644	0.8095	0.4644	0.6815
No log	4.0	96	0.4597	0.7585	0.4597	0.6780
No log	4.0833	98	0.4599	0.7163	0.4599	0.6782
No log	4.1667	100	0.5477	0.7017	0.5477	0.7400
No log	4.25	102	0.5569	0.7017	0.5569	0.7463
No log	4.3333	104	0.5052	0.7353	0.5052	0.7107
No log	4.4167	106	0.5198	0.7332	0.5198	0.7209
No log	4.5	108	0.5313	0.7152	0.5313	0.7289
No log	4.5833	110	0.5616	0.7324	0.5616	0.7494
No log	4.6667	112	0.5871	0.7159	0.5871	0.7662
No log	4.75	114	0.5921	0.7159	0.5921	0.7695
No log	4.8333	116	0.6032	0.7159	0.6032	0.7766
No log	4.9167	118	0.6043	0.7745	0.6043	0.7773
No log	5.0	120	0.6430	0.6801	0.6430	0.8019
No log	5.0833	122	0.6347	0.6801	0.6347	0.7967
No log	5.1667	124	0.6301	0.6575	0.6301	0.7938
No log	5.25	126	0.6420	0.6385	0.6420	0.8013
No log	5.3333	128	0.6587	0.6154	0.6587	0.8116
No log	5.4167	130	0.7210	0.6291	0.7210	0.8491
No log	5.5	132	0.8965	0.5808	0.8965	0.9469
No log	5.5833	134	1.0256	0.5476	1.0256	1.0127
No log	5.6667	136	0.8936	0.5808	0.8936	0.9453
No log	5.75	138	0.7449	0.5513	0.7449	0.8631
No log	5.8333	140	0.6730	0.6337	0.6730	0.8204
No log	5.9167	142	0.6296	0.6888	0.6296	0.7935
No log	6.0	144	0.6068	0.7130	0.6068	0.7790
No log	6.0833	146	0.5848	0.7026	0.5848	0.7647
No log	6.1667	148	0.5815	0.6316	0.5815	0.7626
No log	6.25	150	0.5987	0.6431	0.5987	0.7738
No log	6.3333	152	0.6609	0.6519	0.6609	0.8130
No log	6.4167	154	0.6292	0.6478	0.6292	0.7932
No log	6.5	156	0.5819	0.6662	0.5819	0.7628
No log	6.5833	158	0.6465	0.7105	0.6465	0.8040
No log	6.6667	160	0.7334	0.6047	0.7334	0.8564
No log	6.75	162	0.7475	0.6047	0.7475	0.8646
No log	6.8333	164	0.6851	0.6684	0.6851	0.8277
No log	6.9167	166	0.6141	0.7202	0.6141	0.7836
No log	7.0	168	0.6055	0.6760	0.6055	0.7781
No log	7.0833	170	0.6246	0.6385	0.6246	0.7903
No log	7.1667	172	0.6157	0.6385	0.6157	0.7847
No log	7.25	174	0.5897	0.6760	0.5897	0.7679
No log	7.3333	176	0.5867	0.6892	0.5867	0.7659
No log	7.4167	178	0.6110	0.7188	0.6110	0.7816
No log	7.5	180	0.6462	0.6937	0.6462	0.8039
No log	7.5833	182	0.6586	0.6937	0.6586	0.8116
No log	7.6667	184	0.6459	0.6937	0.6459	0.8037
No log	7.75	186	0.6199	0.7298	0.6199	0.7874
No log	7.8333	188	0.5950	0.7448	0.5950	0.7714
No log	7.9167	190	0.5961	0.6984	0.5961	0.7721
No log	8.0	192	0.5991	0.6480	0.5991	0.7740
No log	8.0833	194	0.5937	0.6984	0.5937	0.7705
No log	8.1667	196	0.5898	0.6855	0.5898	0.7680
No log	8.25	198	0.5881	0.6855	0.5881	0.7669
No log	8.3333	200	0.5866	0.6855	0.5866	0.7659
No log	8.4167	202	0.5895	0.6597	0.5895	0.7678
No log	8.5	204	0.5997	0.6429	0.5997	0.7744
No log	8.5833	206	0.6041	0.625	0.6041	0.7773
No log	8.6667	208	0.5989	0.6132	0.5989	0.7739
No log	8.75	210	0.5924	0.6461	0.5924	0.7697
No log	8.8333	212	0.5888	0.6662	0.5888	0.7673
No log	8.9167	214	0.5919	0.6695	0.5919	0.7693
No log	9.0	216	0.5990	0.75	0.5990	0.7739
No log	9.0833	218	0.6027	0.7374	0.6027	0.7764
No log	9.1667	220	0.6063	0.712	0.6063	0.7787
No log	9.25	222	0.6110	0.712	0.6110	0.7817
No log	9.3333	224	0.6141	0.712	0.6141	0.7836
No log	9.4167	226	0.6101	0.712	0.6101	0.7811
No log	9.5	228	0.6045	0.7008	0.6045	0.7775
No log	9.5833	230	0.6022	0.7374	0.6022	0.7760
No log	9.6667	232	0.6030	0.7374	0.6030	0.7765
No log	9.75	234	0.6033	0.7374	0.6033	0.7767
No log	9.8333	236	0.6019	0.7374	0.6019	0.7758
No log	9.9167	238	0.6004	0.75	0.6004	0.7748
No log	10.0	240	0.5995	0.75	0.5995	0.7743

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits2_FineTuningAraBERT_run4_AugV5_k5_task1_organization

ArabicNewSplits2_FineTuningAraBERT_run4_AugV5_k5_task1_organization

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits2_FineTuningAraBERT_run4_AugV5_k5_task1_organization