Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.1176	2	3.6054	0.0063	3.6054	1.8988
No log	0.2353	4	2.1001	-0.0089	2.1001	1.4492
No log	0.3529	6	1.4200	0.0927	1.4200	1.1917
No log	0.4706	8	1.1287	0.1567	1.1287	1.0624
No log	0.5882	10	0.9750	0.0455	0.9750	0.9874
No log	0.7059	12	1.0721	0.0455	1.0721	1.0354
No log	0.8235	14	1.0550	0.0455	1.0550	1.0271
No log	0.9412	16	0.8996	0.0146	0.8996	0.9485
No log	1.0588	18	0.8994	0.0	0.8994	0.9484
No log	1.1765	20	1.0743	0.0	1.0743	1.0365
No log	1.2941	22	0.9962	0.0	0.9962	0.9981
No log	1.4118	24	0.8471	0.0409	0.8471	0.9204
No log	1.5294	26	0.7924	0.0660	0.7924	0.8902
No log	1.6471	28	0.8301	-0.0536	0.8301	0.9111
No log	1.7647	30	0.9444	0.0455	0.9444	0.9718
No log	1.8824	32	1.1592	0.0455	1.1592	1.0767
No log	2.0	34	1.2134	0.0455	1.2134	1.1015
No log	2.1176	36	1.1627	0.0455	1.1627	1.0783
No log	2.2353	38	1.0453	0.0455	1.0453	1.0224
No log	2.3529	40	0.9818	0.0146	0.9818	0.9909
No log	2.4706	42	1.0404	0.0146	1.0404	1.0200
No log	2.5882	44	1.0022	0.0146	1.0022	1.0011
No log	2.7059	46	0.8709	0.0748	0.8709	0.9332
No log	2.8235	48	0.7401	0.1756	0.7401	0.8603
No log	2.9412	50	0.6945	0.2154	0.6945	0.8334
No log	3.0588	52	0.6960	0.2330	0.6960	0.8343
No log	3.1765	54	0.7464	0.2229	0.7464	0.8640
No log	3.2941	56	0.8399	0.0424	0.8399	0.9164
No log	3.4118	58	0.8498	0.0895	0.8498	0.9218
No log	3.5294	60	0.7724	0.1028	0.7724	0.8789
No log	3.6471	62	0.7154	0.2678	0.7154	0.8458
No log	3.7647	64	0.6899	0.2631	0.6899	0.8306
No log	3.8824	66	0.6876	0.2770	0.6876	0.8292
No log	4.0	68	0.6913	0.2944	0.6913	0.8314
No log	4.1176	70	0.7060	0.2654	0.7060	0.8402
No log	4.2353	72	0.7181	0.2504	0.7181	0.8474
No log	4.3529	74	0.6773	0.3066	0.6773	0.8230
No log	4.4706	76	0.6268	0.3443	0.6268	0.7917
No log	4.5882	78	0.6281	0.3520	0.6281	0.7925
No log	4.7059	80	0.6245	0.3887	0.6245	0.7902
No log	4.8235	82	0.6081	0.3783	0.6081	0.7798
No log	4.9412	84	0.6041	0.3590	0.6041	0.7772
No log	5.0588	86	0.6051	0.3748	0.6051	0.7779
No log	5.1765	88	0.6043	0.3484	0.6043	0.7774
No log	5.2941	90	0.5979	0.3627	0.5979	0.7733
No log	5.4118	92	0.5955	0.3474	0.5955	0.7717
No log	5.5294	94	0.6156	0.4494	0.6156	0.7846
No log	5.6471	96	0.6597	0.3949	0.6597	0.8122
No log	5.7647	98	0.6946	0.3665	0.6946	0.8335
No log	5.8824	100	0.7348	0.3351	0.7348	0.8572
No log	6.0	102	0.7323	0.3095	0.7323	0.8557
No log	6.1176	104	0.7069	0.3826	0.7069	0.8408
No log	6.2353	106	0.6639	0.3456	0.6639	0.8148
No log	6.3529	108	0.6263	0.4031	0.6263	0.7914
No log	6.4706	110	0.6067	0.3598	0.6067	0.7789
No log	6.5882	112	0.6076	0.4040	0.6076	0.7795
No log	6.7059	114	0.6246	0.4359	0.6246	0.7903
No log	6.8235	116	0.6258	0.4359	0.6258	0.7911
No log	6.9412	118	0.6416	0.3787	0.6416	0.8010
No log	7.0588	120	0.6611	0.3923	0.6611	0.8131
No log	7.1765	122	0.6581	0.3923	0.6581	0.8113
No log	7.2941	124	0.6566	0.4060	0.6566	0.8103
No log	7.4118	126	0.6716	0.4060	0.6716	0.8195
No log	7.5294	128	0.6672	0.4082	0.6672	0.8168
No log	7.6471	130	0.6464	0.4069	0.6464	0.8040
No log	7.7647	132	0.6273	0.4494	0.6273	0.7920
No log	7.8824	134	0.6163	0.4494	0.6163	0.7850
No log	8.0	136	0.6069	0.3643	0.6069	0.7790
No log	8.1176	138	0.6026	0.3504	0.6026	0.7763
No log	8.2353	140	0.6025	0.3941	0.6025	0.7762
No log	8.3529	142	0.6042	0.3504	0.6042	0.7773
No log	8.4706	144	0.6097	0.3932	0.6097	0.7808
No log	8.5882	146	0.6221	0.4353	0.6221	0.7887
No log	8.7059	148	0.6336	0.4204	0.6336	0.7960
No log	8.8235	150	0.6522	0.3787	0.6522	0.8076
No log	8.9412	152	0.6748	0.4060	0.6748	0.8215
No log	9.0588	154	0.6862	0.4074	0.6862	0.8284
No log	9.1765	156	0.6834	0.4052	0.6834	0.8267
No log	9.2941	158	0.6776	0.4052	0.6776	0.8232
No log	9.4118	160	0.6765	0.4052	0.6765	0.8225
No log	9.5294	162	0.6760	0.4060	0.6760	0.8222
No log	9.6471	164	0.6791	0.3915	0.6791	0.8241
No log	9.7647	166	0.6807	0.3915	0.6807	0.8250
No log	9.8824	168	0.6811	0.4052	0.6811	0.8253
No log	10.0	170	0.6807	0.4052	0.6807	0.8250

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits_FineTuningAraBERT_AugV5_k5_task2_organization_fold0

ArabicNewSplits_FineTuningAraBERT_AugV5_k5_task2_organization_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits_FineTuningAraBERT_AugV5_k5_task2_organization_fold0