Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.1667	2	5.9617	-0.0243	5.9617	2.4417
No log	0.3333	4	3.5303	0.0	3.5303	1.8789
No log	0.5	6	2.2133	0.1503	2.2133	1.4877
No log	0.6667	8	1.4968	0.1953	1.4968	1.2234
No log	0.8333	10	1.3421	0.0118	1.3421	1.1585
No log	1.0	12	1.3857	0.0859	1.3857	1.1771
No log	1.1667	14	1.5069	0.1300	1.5069	1.2276
No log	1.3333	16	1.6094	0.1926	1.6094	1.2686
No log	1.5	18	1.7520	0.2289	1.7520	1.3236
No log	1.6667	20	1.7123	0.2500	1.7123	1.3085
No log	1.8333	22	1.5345	0.2410	1.5345	1.2387
No log	2.0	24	1.2149	0.2554	1.2149	1.1022
No log	2.1667	26	1.1350	0.3077	1.1350	1.0654
No log	2.3333	28	1.1246	0.2682	1.1246	1.0605
No log	2.5	30	1.1205	0.4302	1.1205	1.0585
No log	2.6667	32	1.2074	0.4797	1.2074	1.0988
No log	2.8333	34	1.2198	0.5814	1.2198	1.1045
No log	3.0	36	1.0906	0.4985	1.0906	1.0443
No log	3.1667	38	1.0440	0.3616	1.0440	1.0217
No log	3.3333	40	1.1055	0.3265	1.1055	1.0514
No log	3.5	42	1.0381	0.3793	1.0381	1.0189
No log	3.6667	44	0.9384	0.5473	0.9384	0.9687
No log	3.8333	46	0.9533	0.5576	0.9533	0.9764
No log	4.0	48	0.9535	0.6018	0.9535	0.9765
No log	4.1667	50	0.9099	0.55	0.9099	0.9539
No log	4.3333	52	0.9517	0.4103	0.9517	0.9756
No log	4.5	54	0.9399	0.4413	0.9399	0.9695
No log	4.6667	56	0.8674	0.5370	0.8674	0.9313
No log	4.8333	58	0.8276	0.5745	0.8276	0.9097
No log	5.0	60	0.8782	0.5876	0.8782	0.9371
No log	5.1667	62	0.9197	0.5952	0.9197	0.9590
No log	5.3333	64	0.8707	0.5437	0.8707	0.9331
No log	5.5	66	0.8436	0.5437	0.8436	0.9185
No log	5.6667	68	0.8576	0.5437	0.8576	0.9261
No log	5.8333	70	0.9126	0.5607	0.9126	0.9553
No log	6.0	72	0.9304	0.6026	0.9304	0.9646
No log	6.1667	74	0.9057	0.5986	0.9057	0.9517
No log	6.3333	76	0.8963	0.6022	0.8963	0.9467
No log	6.5	78	0.9328	0.5822	0.9328	0.9658
No log	6.6667	80	0.8990	0.5814	0.8990	0.9482
No log	6.8333	82	0.8380	0.5974	0.8380	0.9154
No log	7.0	84	0.7641	0.5921	0.7641	0.8741
No log	7.1667	86	0.7619	0.5321	0.7619	0.8729
No log	7.3333	88	0.7747	0.5567	0.7747	0.8802
No log	7.5	90	0.8033	0.5685	0.8033	0.8963
No log	7.6667	92	0.8508	0.5974	0.8508	0.9224
No log	7.8333	94	0.8871	0.5814	0.8871	0.9418
No log	8.0	96	0.8806	0.5814	0.8806	0.9384
No log	8.1667	98	0.8832	0.5986	0.8832	0.9398
No log	8.3333	100	0.8828	0.5986	0.8828	0.9396
No log	8.5	102	0.8696	0.5876	0.8696	0.9325
No log	8.6667	104	0.8488	0.5720	0.8488	0.9213
No log	8.8333	106	0.8341	0.5745	0.8341	0.9133
No log	9.0	108	0.8347	0.5745	0.8347	0.9136
No log	9.1667	110	0.8430	0.5720	0.8430	0.9182
No log	9.3333	112	0.8574	0.6157	0.8574	0.9260
No log	9.5	114	0.8650	0.5876	0.8650	0.9300
No log	9.6667	116	0.8683	0.5876	0.8683	0.9318
No log	9.8333	118	0.8732	0.5876	0.8732	0.9344
No log	10.0	120	0.8751	0.5876	0.8751	0.9355

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits2_FineTuningAraBERT_run1_AugV4_k1_task1_organization

ArabicNewSplits2_FineTuningAraBERT_run1_AugV4_k1_task1_organization

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits2_FineTuningAraBERT_run1_AugV4_k1_task1_organization