Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.08	2	3.1102	-0.0691	3.1102	1.7636
No log	0.16	4	1.6948	0.0684	1.6948	1.3018
No log	0.24	6	1.3499	0.2184	1.3499	1.1619
No log	0.32	8	1.5546	0.1802	1.5546	1.2469
No log	0.4	10	1.6230	0.2046	1.6230	1.2740
No log	0.48	12	1.6208	0.1507	1.6208	1.2731
No log	0.56	14	1.5680	0.1124	1.5680	1.2522
No log	0.64	16	1.4407	0.1059	1.4407	1.2003
No log	0.72	18	1.3767	0.1067	1.3767	1.1733
No log	0.8	20	1.3617	0.1067	1.3617	1.1669
No log	0.88	22	1.3423	0.1067	1.3423	1.1586
No log	0.96	24	1.3490	0.1067	1.3490	1.1615
No log	1.04	26	1.3581	0.1067	1.3581	1.1654
No log	1.12	28	1.3782	0.1067	1.3782	1.1740
No log	1.2	30	1.4068	0.1067	1.4068	1.1861
No log	1.28	32	1.4084	0.1067	1.4084	1.1868
No log	1.3600	34	1.4106	0.1067	1.4106	1.1877
No log	1.44	36	1.4752	0.1067	1.4752	1.2146
No log	1.52	38	1.6310	0.3115	1.6310	1.2771
No log	1.6	40	1.8446	0.3167	1.8446	1.3582
No log	1.6800	42	1.9242	0.1956	1.9242	1.3871
No log	1.76	44	1.8675	0.2494	1.8675	1.3666
No log	1.8400	46	1.7115	0.3305	1.7115	1.3083
No log	1.92	48	1.5215	0.1326	1.5215	1.2335
No log	2.0	50	1.4309	0.1067	1.4309	1.1962
No log	2.08	52	1.4153	0.1067	1.4153	1.1896
No log	2.16	54	1.4022	0.1067	1.4022	1.1841
No log	2.24	56	1.3802	0.1067	1.3802	1.1748
No log	2.32	58	1.3197	0.1067	1.3197	1.1488
No log	2.4	60	1.3794	0.1067	1.3794	1.1745
No log	2.48	62	1.4062	0.1535	1.4062	1.1858
No log	2.56	64	1.4150	0.1535	1.4150	1.1895
No log	2.64	66	1.4172	0.1535	1.4172	1.1904
No log	2.7200	68	1.4854	0.2222	1.4854	1.2188
No log	2.8	70	1.5843	0.3686	1.5843	1.2587
No log	2.88	72	1.6668	0.3189	1.6668	1.2910
No log	2.96	74	1.6530	0.3138	1.6530	1.2857
No log	3.04	76	1.5251	0.2254	1.5251	1.2350
No log	3.12	78	1.4171	0.0714	1.4171	1.1904
No log	3.2	80	1.3824	0.0714	1.3824	1.1758
No log	3.2800	82	1.4091	0.1797	1.4091	1.1870
No log	3.36	84	1.4741	0.2332	1.4741	1.2141
No log	3.44	86	1.5030	0.2838	1.5030	1.2260
No log	3.52	88	1.5443	0.3052	1.5443	1.2427
No log	3.6	90	1.5163	0.2345	1.5163	1.2314
No log	3.68	92	1.4549	0.1556	1.4549	1.2062
No log	3.76	94	1.4818	0.1408	1.4818	1.2173
No log	3.84	96	1.6350	0.2635	1.6350	1.2787
No log	3.92	98	1.7350	0.2713	1.7350	1.3172
No log	4.0	100	1.8835	0.2479	1.8835	1.3724
No log	4.08	102	1.9564	0.2141	1.9564	1.3987
No log	4.16	104	1.9479	0.2263	1.9479	1.3957
No log	4.24	106	1.9668	0.2263	1.9668	1.4024
No log	4.32	108	2.0668	0.1976	2.0668	1.4376
No log	4.4	110	2.1372	0.1782	2.1372	1.4619
No log	4.48	112	2.3788	0.1782	2.3788	1.5423
No log	4.5600	114	2.4299	0.1782	2.4299	1.5588
No log	4.64	116	2.2130	0.1878	2.2130	1.4876
No log	4.72	118	1.8923	0.2263	1.8923	1.3756
No log	4.8	120	1.9063	0.2370	1.9063	1.3807
No log	4.88	122	1.9834	0.2263	1.9834	1.4083
No log	4.96	124	2.0894	0.2522	2.0894	1.4455
No log	5.04	126	2.1878	0.2419	2.1878	1.4791
No log	5.12	128	2.2296	0.2203	2.2296	1.4932
No log	5.2	130	2.3760	0.2276	2.3760	1.5414
No log	5.28	132	2.6186	0.1377	2.6186	1.6182
No log	5.36	134	2.6585	0.1291	2.6585	1.6305
No log	5.44	136	2.7391	0.1301	2.7391	1.6550
No log	5.52	138	2.8258	0.1737	2.8258	1.6810
No log	5.6	140	2.8618	0.2017	2.8618	1.6917
No log	5.68	142	2.7080	0.1694	2.7080	1.6456
No log	5.76	144	2.4394	0.1782	2.4394	1.5619
No log	5.84	146	2.3030	0.1761	2.3030	1.5176
No log	5.92	148	2.4143	0.1782	2.4143	1.5538
No log	6.0	150	2.6869	0.1409	2.6869	1.6392
No log	6.08	152	2.8059	0.1147	2.8059	1.6751
No log	6.16	154	2.7499	0.1135	2.7499	1.6583
No log	6.24	156	2.6967	0.1217	2.6967	1.6422
No log	6.32	158	2.5606	0.1802	2.5606	1.6002
No log	6.4	160	2.3757	0.2005	2.3757	1.5413
No log	6.48	162	2.3151	0.1991	2.3151	1.5215
No log	6.5600	164	2.4450	0.2109	2.4450	1.5637
No log	6.64	166	2.6115	0.2400	2.6115	1.6160
No log	6.72	168	2.7409	0.2301	2.7409	1.6556
No log	6.8	170	2.8159	0.2025	2.8159	1.6781
No log	6.88	172	2.7799	0.2201	2.7799	1.6673
No log	6.96	174	2.8213	0.1943	2.8213	1.6797
No log	7.04	176	2.8917	0.1956	2.8917	1.7005
No log	7.12	178	2.9482	0.1881	2.9482	1.7170
No log	7.2	180	2.8576	0.1958	2.8576	1.6904
No log	7.28	182	2.7055	0.1921	2.7055	1.6449
No log	7.36	184	2.6722	0.1921	2.6722	1.6347
No log	7.44	186	2.8040	0.2120	2.8040	1.6745
No log	7.52	188	2.9003	0.1958	2.9003	1.7030
No log	7.6	190	3.0556	0.1895	3.0556	1.7480
No log	7.68	192	3.1743	0.2057	3.1743	1.7816
No log	7.76	194	3.1542	0.2135	3.1542	1.7760
No log	7.84	196	3.0913	0.1979	3.0913	1.7582
No log	7.92	198	2.9824	0.1807	2.9824	1.7270
No log	8.0	200	2.9086	0.1807	2.9086	1.7055
No log	8.08	202	2.8928	0.1807	2.8928	1.7008
No log	8.16	204	2.9185	0.1807	2.9185	1.7084
No log	8.24	206	3.0090	0.1807	3.0090	1.7346
No log	8.32	208	3.0590	0.1807	3.0590	1.7490
No log	8.4	210	3.0960	0.1976	3.0960	1.7596
No log	8.48	212	3.1124	0.1893	3.1124	1.7642
No log	8.56	214	3.1259	0.1893	3.1259	1.7680
No log	8.64	216	3.0717	0.1893	3.0717	1.7526
No log	8.72	218	3.0036	0.1893	3.0036	1.7331
No log	8.8	220	2.9461	0.1895	2.9461	1.7164
No log	8.88	222	2.9555	0.1895	2.9555	1.7192
No log	8.96	224	2.9251	0.1895	2.9251	1.7103
No log	9.04	226	2.9122	0.1896	2.9122	1.7065
No log	9.12	228	2.9206	0.1896	2.9206	1.7090
No log	9.2	230	2.9079	0.1896	2.9079	1.7053
No log	9.28	232	2.9218	0.1896	2.9218	1.7093
No log	9.36	234	2.9057	0.1898	2.9057	1.7046
No log	9.44	236	2.8930	0.1808	2.8930	1.7009
No log	9.52	238	2.8679	0.1808	2.8679	1.6935
No log	9.6	240	2.8305	0.1884	2.8305	1.6824
No log	9.68	242	2.7933	0.1791	2.7933	1.6713
No log	9.76	244	2.7764	0.1693	2.7764	1.6662
No log	9.84	246	2.7758	0.1693	2.7758	1.6661
No log	9.92	248	2.7803	0.1693	2.7803	1.6674
No log	10.0	250	2.7804	0.1693	2.7804	1.6675

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits_FineTuningAraBERT_AugV5_k10_task5_organization_fold1

ArabicNewSplits_FineTuningAraBERT_AugV5_k10_task5_organization_fold1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits_FineTuningAraBERT_AugV5_k10_task5_organization_fold1