Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.0952	2	4.3737	-0.0203	4.3737	2.0913
No log	0.1905	4	2.8239	0.0629	2.8239	1.6804
No log	0.2857	6	1.3902	0.1192	1.3902	1.1791
No log	0.3810	8	0.9180	0.0318	0.9180	0.9581
No log	0.4762	10	0.8662	0.0081	0.8662	0.9307
No log	0.5714	12	0.7263	0.1293	0.7263	0.8522
No log	0.6667	14	0.7238	0.1352	0.7238	0.8508
No log	0.7619	16	0.8017	0.0772	0.8017	0.8954
No log	0.8571	18	0.8497	0.0387	0.8497	0.9218
No log	0.9524	20	0.8017	0.0387	0.8017	0.8954
No log	1.0476	22	0.7289	0.1118	0.7289	0.8537
No log	1.1429	24	0.7151	0.1308	0.7151	0.8456
No log	1.2381	26	0.7045	0.2724	0.7045	0.8394
No log	1.3333	28	0.7687	0.0939	0.7687	0.8768
No log	1.4286	30	0.8868	0.1449	0.8868	0.9417
No log	1.5238	32	0.9013	0.1642	0.9013	0.9493
No log	1.6190	34	1.0245	0.1488	1.0245	1.0122
No log	1.7143	36	1.0723	0.1462	1.0723	1.0355
No log	1.8095	38	0.8535	0.2461	0.8535	0.9239
No log	1.9048	40	0.6346	0.3406	0.6346	0.7966
No log	2.0	42	0.5821	0.3217	0.5821	0.7629
No log	2.0952	44	0.5721	0.3014	0.5721	0.7564
No log	2.1905	46	0.5632	0.3267	0.5632	0.7505
No log	2.2857	48	0.5603	0.4658	0.5603	0.7485
No log	2.3810	50	0.5658	0.4115	0.5658	0.7522
No log	2.4762	52	0.5641	0.4658	0.5641	0.7511
No log	2.5714	54	0.5579	0.4022	0.5579	0.7469
No log	2.6667	56	0.5516	0.3762	0.5516	0.7427
No log	2.7619	58	0.5567	0.3577	0.5567	0.7462
No log	2.8571	60	0.5710	0.2480	0.5710	0.7557
No log	2.9524	62	0.5928	0.3474	0.5928	0.7699
No log	3.0476	64	0.6431	0.3487	0.6431	0.8019
No log	3.1429	66	0.7478	0.2796	0.7478	0.8648
No log	3.2381	68	0.8240	0.2059	0.8240	0.9078
No log	3.3333	70	0.6913	0.3510	0.6913	0.8314
No log	3.4286	72	0.5989	0.3611	0.5989	0.7739
No log	3.5238	74	0.6101	0.3568	0.6101	0.7811
No log	3.6190	76	0.6262	0.3862	0.6262	0.7913
No log	3.7143	78	0.6652	0.4081	0.6652	0.8156
No log	3.8095	80	0.6953	0.4242	0.6953	0.8339
No log	3.9048	82	0.6880	0.3536	0.6880	0.8295
No log	4.0	84	0.6811	0.3611	0.6811	0.8253
No log	4.0952	86	0.6419	0.3635	0.6419	0.8012
No log	4.1905	88	0.6347	0.3418	0.6347	0.7967
No log	4.2857	90	0.6343	0.3738	0.6343	0.7965
No log	4.3810	92	0.6444	0.3450	0.6444	0.8027
No log	4.4762	94	0.6731	0.3676	0.6731	0.8204
No log	4.5714	96	0.6664	0.3514	0.6664	0.8164
No log	4.6667	98	0.6721	0.4107	0.6721	0.8198
No log	4.7619	100	0.6850	0.3947	0.6850	0.8276
No log	4.8571	102	0.6971	0.3951	0.6971	0.8349
No log	4.9524	104	0.7064	0.4318	0.7064	0.8405
No log	5.0476	106	0.7197	0.4399	0.7197	0.8483
No log	5.1429	108	0.7149	0.3899	0.7149	0.8455
No log	5.2381	110	0.7120	0.4296	0.7120	0.8438
No log	5.3333	112	0.7321	0.4301	0.7321	0.8556
No log	5.4286	114	0.7625	0.4175	0.7625	0.8732
No log	5.5238	116	0.7672	0.4323	0.7672	0.8759
No log	5.6190	118	0.8208	0.3685	0.8208	0.9060
No log	5.7143	120	0.8611	0.4042	0.8611	0.9279
No log	5.8095	122	0.8512	0.4113	0.8512	0.9226
No log	5.9048	124	0.8521	0.4192	0.8521	0.9231
No log	6.0	126	0.8267	0.3651	0.8267	0.9092
No log	6.0952	128	0.8256	0.3808	0.8256	0.9086
No log	6.1905	130	0.8429	0.4547	0.8429	0.9181
No log	6.2857	132	0.8309	0.4216	0.8309	0.9115
No log	6.3810	134	0.8201	0.3969	0.8201	0.9056
No log	6.4762	136	0.8215	0.4011	0.8215	0.9063
No log	6.5714	138	0.8278	0.4070	0.8278	0.9098
No log	6.6667	140	0.8365	0.4135	0.8365	0.9146
No log	6.7619	142	0.8414	0.4132	0.8414	0.9173
No log	6.8571	144	0.8547	0.4645	0.8547	0.9245
No log	6.9524	146	0.8653	0.4641	0.8653	0.9302
No log	7.0476	148	0.8594	0.4108	0.8594	0.9270
No log	7.1429	150	0.8660	0.3964	0.8660	0.9306
No log	7.2381	152	0.8792	0.4214	0.8792	0.9376
No log	7.3333	154	0.8844	0.4335	0.8844	0.9404
No log	7.4286	156	0.8790	0.4317	0.8790	0.9376
No log	7.5238	158	0.8800	0.3912	0.8800	0.9381
No log	7.6190	160	0.8826	0.4032	0.8826	0.9395
No log	7.7143	162	0.8811	0.3960	0.8811	0.9387
No log	7.8095	164	0.8738	0.4155	0.8738	0.9347
No log	7.9048	166	0.8722	0.3872	0.8722	0.9339
No log	8.0	168	0.8775	0.3849	0.8775	0.9368
No log	8.0952	170	0.8785	0.3941	0.8785	0.9373
No log	8.1905	172	0.8870	0.3937	0.8870	0.9418
No log	8.2857	174	0.8850	0.3954	0.8850	0.9407
No log	8.3810	176	0.8675	0.3658	0.8675	0.9314
No log	8.4762	178	0.8544	0.3958	0.8544	0.9243
No log	8.5714	180	0.8524	0.3899	0.8524	0.9233
No log	8.6667	182	0.8482	0.4070	0.8482	0.9210
No log	8.7619	184	0.8504	0.3860	0.8504	0.9222
No log	8.8571	186	0.8591	0.3908	0.8591	0.9269
No log	8.9524	188	0.8622	0.3698	0.8622	0.9286
No log	9.0476	190	0.8646	0.3758	0.8646	0.9298
No log	9.1429	192	0.8688	0.3758	0.8688	0.9321
No log	9.2381	194	0.8701	0.3817	0.8701	0.9328
No log	9.3333	196	0.8698	0.3870	0.8698	0.9326
No log	9.4286	198	0.8688	0.3870	0.8688	0.9321
No log	9.5238	200	0.8624	0.3958	0.8624	0.9286
No log	9.6190	202	0.8587	0.3869	0.8587	0.9267
No log	9.7143	204	0.8561	0.3995	0.8561	0.9252
No log	9.8095	206	0.8562	0.3993	0.8562	0.9253
No log	9.9048	208	0.8570	0.3993	0.8570	0.9257
No log	10.0	210	0.8575	0.3993	0.8575	0.9260

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits4_FineTuningAraBERT_run2_AugV5_k4_task2_organization

ArabicNewSplits4_FineTuningAraBERT_run2_AugV5_k4_task2_organization

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits4_FineTuningAraBERT_run2_AugV5_k4_task2_organization