Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.0833	2	4.8460	-0.0582	4.8460	2.2014
No log	0.1667	4	3.4855	0.0384	3.4855	1.8669
No log	0.25	6	1.9311	0.1727	1.9311	1.3897
No log	0.3333	8	1.4147	0.0	1.4147	1.1894
No log	0.4167	10	1.2587	0.1034	1.2587	1.1219
No log	0.5	12	1.0538	0.3294	1.0538	1.0266
No log	0.5833	14	1.0666	0.3810	1.0666	1.0327
No log	0.6667	16	1.0488	0.4145	1.0488	1.0241
No log	0.75	18	1.0413	0.4188	1.0413	1.0205
No log	0.8333	20	1.2468	0.1632	1.2468	1.1166
No log	0.9167	22	1.5306	0.0502	1.5306	1.2372
No log	1.0	24	1.8592	0.0502	1.8592	1.3635
No log	1.0833	26	2.0946	0.1689	2.0946	1.4473
No log	1.1667	28	2.0398	0.1689	2.0398	1.4282
No log	1.25	30	1.9534	0.1727	1.9534	1.3977
No log	1.3333	32	1.8173	0.0690	1.8173	1.3481
No log	1.4167	34	1.5493	0.0534	1.5493	1.2447
No log	1.5	36	1.2684	0.2194	1.2684	1.1262
No log	1.5833	38	1.0805	0.3571	1.0805	1.0395
No log	1.6667	40	1.1438	0.1103	1.1438	1.0695
No log	1.75	42	1.4636	0.0182	1.4636	1.2098
No log	1.8333	44	1.7825	0.0185	1.7825	1.3351
No log	1.9167	46	1.4891	0.0253	1.4891	1.2203
No log	2.0	48	1.1652	0.2868	1.1652	1.0794
No log	2.0833	50	1.0982	0.2382	1.0982	1.0479
No log	2.1667	52	1.0457	0.3393	1.0457	1.0226
No log	2.25	54	1.0102	0.3445	1.0102	1.0051
No log	2.3333	56	1.0044	0.3745	1.0044	1.0022
No log	2.4167	58	1.1174	0.3990	1.1174	1.0571
No log	2.5	60	1.2253	0.2247	1.2253	1.1069
No log	2.5833	62	1.1185	0.3990	1.1185	1.0576
No log	2.6667	64	0.9121	0.4600	0.9121	0.9550
No log	2.75	66	0.8542	0.4248	0.8542	0.9242
No log	2.8333	68	0.8883	0.3669	0.8883	0.9425
No log	2.9167	70	0.9220	0.3241	0.9220	0.9602
No log	3.0	72	0.9517	0.4199	0.9517	0.9756
No log	3.0833	74	0.9076	0.4520	0.9076	0.9527
No log	3.1667	76	0.8708	0.4520	0.8708	0.9332
No log	3.25	78	0.8611	0.4560	0.8611	0.9280
No log	3.3333	80	0.8724	0.4416	0.8724	0.9340
No log	3.4167	82	0.8873	0.4416	0.8873	0.9420
No log	3.5	84	0.8730	0.4560	0.8730	0.9344
No log	3.5833	86	0.8167	0.5339	0.8167	0.9037
No log	3.6667	88	0.7651	0.5625	0.7651	0.8747
No log	3.75	90	0.7295	0.5867	0.7295	0.8541
No log	3.8333	92	0.7063	0.5531	0.7063	0.8404
No log	3.9167	94	0.7347	0.6237	0.7347	0.8572
No log	4.0	96	0.7433	0.6074	0.7433	0.8622
No log	4.0833	98	0.7148	0.6237	0.7148	0.8454
No log	4.1667	100	0.6694	0.6191	0.6694	0.8182
No log	4.25	102	0.6638	0.5970	0.6638	0.8148
No log	4.3333	104	0.7168	0.6310	0.7168	0.8467
No log	4.4167	106	0.7461	0.5855	0.7461	0.8638
No log	4.5	108	0.7181	0.5855	0.7181	0.8474
No log	4.5833	110	0.6786	0.6610	0.6786	0.8238
No log	4.6667	112	0.6553	0.6511	0.6553	0.8095
No log	4.75	114	0.6460	0.6568	0.6460	0.8038
No log	4.8333	116	0.6508	0.6805	0.6508	0.8067
No log	4.9167	118	0.7066	0.6689	0.7066	0.8406
No log	5.0	120	0.7862	0.6334	0.7862	0.8867
No log	5.0833	122	0.8197	0.5921	0.8197	0.9054
No log	5.1667	124	0.7808	0.6136	0.7808	0.8836
No log	5.25	126	0.7473	0.6261	0.7473	0.8645
No log	5.3333	128	0.7619	0.5411	0.7619	0.8729
No log	5.4167	130	0.7662	0.5696	0.7662	0.8754
No log	5.5	132	0.7906	0.5727	0.7906	0.8891
No log	5.5833	134	0.8756	0.5164	0.8756	0.9357
No log	5.6667	136	0.9097	0.5146	0.9097	0.9538
No log	5.75	138	0.8727	0.5146	0.8727	0.9342
No log	5.8333	140	0.8185	0.5335	0.8185	0.9047
No log	5.9167	142	0.7748	0.6075	0.7748	0.8802
No log	6.0	144	0.7712	0.6478	0.7712	0.8782
No log	6.0833	146	0.7299	0.6478	0.7299	0.8544
No log	6.1667	148	0.6908	0.7145	0.6908	0.8312
No log	6.25	150	0.6906	0.6777	0.6906	0.8310
No log	6.3333	152	0.7340	0.6822	0.7340	0.8567
No log	6.4167	154	0.7415	0.6519	0.7415	0.8611
No log	6.5	156	0.6825	0.6975	0.6825	0.8261
No log	6.5833	158	0.6539	0.6991	0.6539	0.8086
No log	6.6667	160	0.6733	0.7145	0.6733	0.8206
No log	6.75	162	0.6668	0.7145	0.6668	0.8166
No log	6.8333	164	0.6670	0.6786	0.6670	0.8167
No log	6.9167	166	0.6483	0.7	0.6483	0.8052
No log	7.0	168	0.6372	0.6864	0.6372	0.7982
No log	7.0833	170	0.6388	0.6796	0.6388	0.7993
No log	7.1667	172	0.6353	0.7019	0.6353	0.7971
No log	7.25	174	0.6708	0.6182	0.6708	0.8190
No log	7.3333	176	0.7668	0.5526	0.7668	0.8756
No log	7.4167	178	0.8291	0.5476	0.8291	0.9106
No log	7.5	180	0.8417	0.5341	0.8417	0.9174
No log	7.5833	182	0.7985	0.575	0.7985	0.8936
No log	7.6667	184	0.7606	0.6176	0.7606	0.8721
No log	7.75	186	0.7118	0.5994	0.7118	0.8437
No log	7.8333	188	0.6812	0.6873	0.6812	0.8253
No log	7.9167	190	0.6710	0.6806	0.6710	0.8192
No log	8.0	192	0.6748	0.6656	0.6748	0.8215
No log	8.0833	194	0.6939	0.6182	0.6939	0.8330
No log	8.1667	196	0.7235	0.6405	0.7235	0.8506
No log	8.25	198	0.7492	0.6519	0.7492	0.8656
No log	8.3333	200	0.7560	0.6519	0.7560	0.8695
No log	8.4167	202	0.7518	0.6314	0.7518	0.8671
No log	8.5	204	0.7350	0.6618	0.7350	0.8573
No log	8.5833	206	0.7200	0.6499	0.7200	0.8485
No log	8.6667	208	0.7296	0.6499	0.7296	0.8542
No log	8.75	210	0.7612	0.6022	0.7612	0.8725
No log	8.8333	212	0.8117	0.5584	0.8117	0.9009
No log	8.9167	214	0.8501	0.5213	0.8501	0.9220
No log	9.0	216	0.8600	0.5213	0.8600	0.9274
No log	9.0833	218	0.8491	0.5213	0.8491	0.9215
No log	9.1667	220	0.8279	0.5213	0.8279	0.9099
No log	9.25	222	0.8187	0.5231	0.8187	0.9048
No log	9.3333	224	0.8059	0.5610	0.8059	0.8977
No log	9.4167	226	0.7864	0.5921	0.7864	0.8868
No log	9.5	228	0.7731	0.6618	0.7731	0.8793
No log	9.5833	230	0.7634	0.6618	0.7634	0.8737
No log	9.6667	232	0.7579	0.6618	0.7579	0.8706
No log	9.75	234	0.7529	0.6618	0.7529	0.8677
No log	9.8333	236	0.7486	0.6618	0.7486	0.8652
No log	9.9167	238	0.7465	0.6618	0.7465	0.8640
No log	10.0	240	0.7459	0.6618	0.7459	0.8637

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits2_FineTuningAraBERT_run1_AugV5_k5_task1_organization

ArabicNewSplits2_FineTuningAraBERT_run1_AugV5_k5_task1_organization

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits2_FineTuningAraBERT_run1_AugV5_k5_task1_organization