Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.1667	2	4.1736	-0.0151	4.1736	2.0429
No log	0.3333	4	2.3525	0.0351	2.3525	1.5338
No log	0.5	6	1.3175	0.0551	1.3175	1.1478
No log	0.6667	8	0.8496	-0.0104	0.8496	0.9218
No log	0.8333	10	0.7521	0.0966	0.7521	0.8673
No log	1.0	12	0.7342	0.2100	0.7342	0.8568
No log	1.1667	14	0.7416	0.1083	0.7416	0.8612
No log	1.3333	16	0.7640	0.1960	0.7640	0.8741
No log	1.5	18	0.7417	0.1494	0.7417	0.8612
No log	1.6667	20	0.7170	0.2053	0.7170	0.8468
No log	1.8333	22	0.7163	0.2281	0.7163	0.8463
No log	2.0	24	0.7489	0.1485	0.7489	0.8654
No log	2.1667	26	0.7617	0.1330	0.7617	0.8728
No log	2.3333	28	0.7865	0.0841	0.7865	0.8869
No log	2.5	30	0.9131	0.0825	0.9131	0.9555
No log	2.6667	32	0.9063	0.0825	0.9063	0.9520
No log	2.8333	34	0.8828	0.0782	0.8828	0.9395
No log	3.0	36	0.7811	0.0720	0.7811	0.8838
No log	3.1667	38	0.6684	0.3533	0.6684	0.8175
No log	3.3333	40	0.6339	0.3321	0.6339	0.7962
No log	3.5	42	0.6223	0.3184	0.6223	0.7889
No log	3.6667	44	0.6456	0.2888	0.6456	0.8035
No log	3.8333	46	0.6564	0.2187	0.6564	0.8102
No log	4.0	48	0.6677	0.2571	0.6677	0.8171
No log	4.1667	50	0.7437	0.2224	0.7437	0.8624
No log	4.3333	52	0.6985	0.2660	0.6985	0.8358
No log	4.5	54	0.6473	0.2912	0.6473	0.8045
No log	4.6667	56	0.6540	0.2362	0.6540	0.8087
No log	4.8333	58	0.6595	0.2406	0.6595	0.8121
No log	5.0	60	0.6516	0.2604	0.6516	0.8072
No log	5.1667	62	0.6642	0.3259	0.6642	0.8150
No log	5.3333	64	0.6983	0.3042	0.6983	0.8356
No log	5.5	66	0.6922	0.3264	0.6922	0.8320
No log	5.6667	68	0.6624	0.3360	0.6624	0.8139
No log	5.8333	70	0.6632	0.3443	0.6632	0.8143
No log	6.0	72	0.6544	0.3373	0.6544	0.8089
No log	6.1667	74	0.6752	0.2597	0.6752	0.8217
No log	6.3333	76	0.7044	0.2175	0.7044	0.8393
No log	6.5	78	0.7066	0.2264	0.7066	0.8406
No log	6.6667	80	0.6967	0.2923	0.6967	0.8347
No log	6.8333	82	0.7061	0.3591	0.7061	0.8403
No log	7.0	84	0.7085	0.3536	0.7085	0.8417
No log	7.1667	86	0.6926	0.3769	0.6926	0.8322
No log	7.3333	88	0.6859	0.3501	0.6859	0.8282
No log	7.5	90	0.6875	0.2858	0.6875	0.8292
No log	7.6667	92	0.6843	0.2874	0.6843	0.8272
No log	7.8333	94	0.6854	0.3205	0.6854	0.8279
No log	8.0	96	0.6866	0.3692	0.6866	0.8286
No log	8.1667	98	0.6883	0.3763	0.6883	0.8296
No log	8.3333	100	0.6944	0.3417	0.6944	0.8333
No log	8.5	102	0.6990	0.3593	0.6990	0.8360
No log	8.6667	104	0.7011	0.3593	0.7011	0.8373
No log	8.8333	106	0.7007	0.3535	0.7007	0.8371
No log	9.0	108	0.7027	0.3745	0.7027	0.8383
No log	9.1667	110	0.7064	0.3611	0.7064	0.8405
No log	9.3333	112	0.7095	0.3835	0.7095	0.8423
No log	9.5	114	0.7126	0.3747	0.7126	0.8442
No log	9.6667	116	0.7125	0.3835	0.7125	0.8441
No log	9.8333	118	0.7124	0.3835	0.7124	0.8441
No log	10.0	120	0.7125	0.3835	0.7125	0.8441

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits4_FineTuningAraBERT_run1_AugV5_k2_task2_organization

ArabicNewSplits4_FineTuningAraBERT_run1_AugV5_k2_task2_organization

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits4_FineTuningAraBERT_run1_AugV5_k2_task2_organization