Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.1333	2	3.3125	-0.0149	3.3125	1.8200
No log	0.2667	4	1.9351	0.0061	1.9351	1.3911
No log	0.4	6	1.7019	0.0264	1.7019	1.3046
No log	0.5333	8	0.7890	0.2919	0.7890	0.8882
No log	0.6667	10	0.6066	0.0569	0.6066	0.7788
No log	0.8	12	0.6314	0.0569	0.6314	0.7946
No log	0.9333	14	0.5628	0.1008	0.5628	0.7502
No log	1.0667	16	0.7065	0.2169	0.7065	0.8406
No log	1.2	18	0.7560	0.1174	0.7560	0.8695
No log	1.3333	20	0.6307	-0.0909	0.6307	0.7942
No log	1.4667	22	0.5846	0.0	0.5846	0.7646
No log	1.6	24	0.5843	0.0	0.5843	0.7644
No log	1.7333	26	0.6196	0.0	0.6196	0.7871
No log	1.8667	28	0.6751	0.0	0.6751	0.8216
No log	2.0	30	0.6603	-0.0732	0.6603	0.8126
No log	2.1333	32	0.7019	-0.0370	0.7019	0.8378
No log	2.2667	34	0.8546	0.0270	0.8546	0.9244
No log	2.4	36	0.7283	-0.0273	0.7283	0.8534
No log	2.5333	38	0.6438	-0.0732	0.6438	0.8023
No log	2.6667	40	0.6511	-0.0732	0.6511	0.8069
No log	2.8	42	0.6380	0.0	0.6380	0.7988
No log	2.9333	44	0.6209	0.0303	0.6209	0.7879
No log	3.0667	46	0.7745	0.1289	0.7745	0.8800
No log	3.2	48	0.7434	0.1481	0.7434	0.8622
No log	3.3333	50	0.6278	-0.0496	0.6278	0.7923
No log	3.4667	52	0.6050	0.0388	0.6050	0.7778
No log	3.6	54	0.6112	0.0303	0.6112	0.7818
No log	3.7333	56	0.6706	0.0256	0.6706	0.8189
No log	3.8667	58	0.6693	0.0327	0.6693	0.8181
No log	4.0	60	0.6735	0.0388	0.6735	0.8207
No log	4.1333	62	0.6963	0.0388	0.6963	0.8345
No log	4.2667	64	0.6809	0.0145	0.6809	0.8251
No log	4.4	66	0.7671	0.1414	0.7671	0.8758
No log	4.5333	68	0.7116	0.0061	0.7116	0.8436
No log	4.6667	70	0.6977	0.0725	0.6977	0.8353
No log	4.8	72	0.6994	0.0815	0.6994	0.8363
No log	4.9333	74	0.6912	0.0	0.6912	0.8314
No log	5.0667	76	0.7358	0.0	0.7358	0.8578
No log	5.2	78	0.7251	0.0	0.7251	0.8515
No log	5.3333	80	0.7120	0.1448	0.7120	0.8438
No log	5.4667	82	0.7746	0.2090	0.7746	0.8801
No log	5.6	84	0.7440	0.2096	0.7440	0.8626
No log	5.7333	86	0.7289	0.0698	0.7289	0.8538
No log	5.8667	88	0.7479	0.1020	0.7479	0.8648
No log	6.0	90	0.7278	0.1111	0.7278	0.8531
No log	6.1333	92	0.8218	0.2075	0.8218	0.9065
No log	6.2667	94	0.8611	0.1712	0.8611	0.9280
No log	6.4	96	0.7317	0.1475	0.7317	0.8554
No log	6.5333	98	0.7436	0.1456	0.7436	0.8623
No log	6.6667	100	0.8540	0.2489	0.8540	0.9241
No log	6.8	102	0.7676	0.1776	0.7676	0.8761
No log	6.9333	104	0.7002	0.125	0.7002	0.8368
No log	7.0667	106	0.8440	0.1776	0.8440	0.9187
No log	7.2	108	1.0992	-0.0107	1.0992	1.0484
No log	7.3333	110	1.1311	-0.0070	1.1311	1.0635
No log	7.4667	112	1.0197	0.0335	1.0197	1.0098
No log	7.6	114	0.8481	0.1287	0.8481	0.9209
No log	7.7333	116	0.7817	0.2340	0.7817	0.8842
No log	7.8667	118	0.7595	0.1675	0.7595	0.8715
No log	8.0	120	0.7738	0.2432	0.7738	0.8797
No log	8.1333	122	0.7726	0.1915	0.7726	0.8790
No log	8.2667	124	0.7513	0.1527	0.7513	0.8668
No log	8.4	126	0.7436	0.0995	0.7436	0.8623
No log	8.5333	128	0.7569	0.2432	0.7569	0.8700
No log	8.6667	130	0.7686	0.2432	0.7686	0.8767
No log	8.8	132	0.7626	0.2432	0.7626	0.8733
No log	8.9333	134	0.7843	0.1658	0.7843	0.8856
No log	9.0667	136	0.8138	0.1675	0.8138	0.9021
No log	9.2	138	0.8051	0.1675	0.8051	0.8973
No log	9.3333	140	0.7910	0.1658	0.7910	0.8894
No log	9.4667	142	0.7720	0.2088	0.7720	0.8786
No log	9.6	144	0.7531	0.2432	0.7531	0.8678
No log	9.7333	146	0.7401	0.2258	0.7401	0.8603
No log	9.8667	148	0.7358	0.2258	0.7358	0.8578
No log	10.0	150	0.7354	0.2258	0.7354	0.8575

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits4_FineTuningAraBERT_run3_AugV5_k3_task3_organization

ArabicNewSplits4_FineTuningAraBERT_run3_AugV5_k3_task3_organization

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits4_FineTuningAraBERT_run3_AugV5_k3_task3_organization