Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.0952	2	2.4252	0.0086	2.4252	1.5573
No log	0.1905	4	0.8798	0.0187	0.8798	0.9380
No log	0.2857	6	0.6439	0.2365	0.6439	0.8025
No log	0.3810	8	0.6700	0.2035	0.6700	0.8185
No log	0.4762	10	0.7384	-0.0323	0.7384	0.8593
No log	0.5714	12	0.8127	0.0187	0.8127	0.9015
No log	0.6667	14	0.8071	0.0187	0.8071	0.8984
No log	0.7619	16	0.9349	0.0	0.9349	0.9669
No log	0.8571	18	0.8554	0.0	0.8554	0.9249
No log	0.9524	20	0.8839	0.0	0.8839	0.9402
No log	1.0476	22	0.9191	0.0	0.9191	0.9587
No log	1.1429	24	0.8315	0.0187	0.8315	0.9119
No log	1.2381	26	0.7384	-0.0323	0.7384	0.8593
No log	1.3333	28	0.6998	0.0950	0.6998	0.8365
No log	1.4286	30	0.7114	0.1213	0.7114	0.8434
No log	1.5238	32	0.7107	0.1213	0.7107	0.8430
No log	1.6190	34	0.8118	-0.0350	0.8118	0.9010
No log	1.7143	36	0.8724	0.0187	0.8724	0.9340
No log	1.8095	38	0.8137	0.0572	0.8137	0.9021
No log	1.9048	40	0.8291	0.0378	0.8291	0.9105
No log	2.0	42	0.9125	0.0	0.9125	0.9552
No log	2.0952	44	0.8899	0.0187	0.8899	0.9433
No log	2.1905	46	0.7950	-0.0537	0.7950	0.8917
No log	2.2857	48	0.7879	-0.0537	0.7879	0.8876
No log	2.3810	50	0.8295	0.0	0.8295	0.9108
No log	2.4762	52	0.7677	0.0233	0.7677	0.8762
No log	2.5714	54	0.7585	-0.0159	0.7585	0.8709
No log	2.6667	56	0.8560	0.0	0.8560	0.9252
No log	2.7619	58	0.8742	0.0	0.8742	0.9350
No log	2.8571	60	0.8148	0.0378	0.8148	0.9027
No log	2.9524	62	0.7370	0.0342	0.7370	0.8585
No log	3.0476	64	0.6868	0.2298	0.6868	0.8287
No log	3.1429	66	0.6428	0.3420	0.6428	0.8017
No log	3.2381	68	0.6325	0.1777	0.6325	0.7953
No log	3.3333	70	0.6268	0.1777	0.6268	0.7917
No log	3.4286	72	0.6230	0.0897	0.6230	0.7893
No log	3.5238	74	0.6570	0.2125	0.6570	0.8105
No log	3.6190	76	0.6836	0.1597	0.6836	0.8268
No log	3.7143	78	0.6937	0.2727	0.6937	0.8329
No log	3.8095	80	0.6733	0.3587	0.6733	0.8205
No log	3.9048	82	0.6232	0.2397	0.6232	0.7894
No log	4.0	84	0.6069	0.1409	0.6069	0.7791
No log	4.0952	86	0.5956	0.2946	0.5956	0.7718
No log	4.1905	88	0.6080	0.2282	0.6080	0.7797
No log	4.2857	90	0.6138	0.3005	0.6138	0.7835
No log	4.3810	92	0.5918	0.2035	0.5918	0.7693
No log	4.4762	94	0.7318	0.1674	0.7318	0.8554
No log	4.5714	96	0.7528	0.1674	0.7528	0.8677
No log	4.6667	98	0.7033	0.1674	0.7033	0.8386
No log	4.7619	100	0.6070	0.3371	0.6070	0.7791
No log	4.8571	102	0.6600	0.2630	0.6600	0.8124
No log	4.9524	104	0.8168	0.3429	0.8168	0.9038
No log	5.0476	106	0.8729	0.4009	0.8729	0.9343
No log	5.1429	108	0.7473	0.4003	0.7473	0.8645
No log	5.2381	110	0.6698	0.3738	0.6698	0.8184
No log	5.3333	112	0.6082	0.3494	0.6082	0.7799
No log	5.4286	114	0.6629	0.3058	0.6629	0.8142
No log	5.5238	116	0.7077	0.3396	0.7077	0.8412
No log	5.6190	118	0.7696	0.2727	0.7696	0.8773
No log	5.7143	120	0.6589	0.3738	0.6589	0.8117
No log	5.8095	122	0.6238	0.3587	0.6238	0.7898
No log	5.9048	124	0.6419	0.3869	0.6419	0.8012
No log	6.0	126	0.8592	0.3435	0.8592	0.9269
No log	6.0952	128	0.9350	0.3435	0.9350	0.9670
No log	6.1905	130	1.0065	0.3505	1.0065	1.0032
No log	6.2857	132	0.8683	0.3435	0.8683	0.9318
No log	6.3810	134	0.6742	0.3895	0.6742	0.8211
No log	6.4762	136	0.7225	0.4101	0.7225	0.8500
No log	6.5714	138	0.9100	0.3483	0.9100	0.9539
No log	6.6667	140	1.0198	0.3505	1.0198	1.0099
No log	6.7619	142	0.9943	0.3505	0.9943	0.9972
No log	6.8571	144	1.0478	0.2689	1.0478	1.0236
No log	6.9524	146	0.9883	0.2993	0.9883	0.9941
No log	7.0476	148	0.9298	0.2993	0.9298	0.9643
No log	7.1429	150	0.7578	0.2790	0.7578	0.8705
No log	7.2381	152	0.6370	0.3878	0.6370	0.7981
No log	7.3333	154	0.6152	0.3869	0.6152	0.7843
No log	7.4286	156	0.6825	0.3160	0.6825	0.8261
No log	7.5238	158	0.8716	0.3407	0.8716	0.9336
No log	7.6190	160	1.0435	0.3243	1.0435	1.0215
No log	7.7143	162	1.0988	0.2431	1.0988	1.0482
No log	7.8095	164	1.0435	0.3243	1.0435	1.0215
No log	7.9048	166	0.9393	0.3483	0.9393	0.9692
No log	8.0	168	0.8012	0.3407	0.8012	0.8951
No log	8.0952	170	0.6992	0.3544	0.6992	0.8362
No log	8.1905	172	0.6678	0.3869	0.6678	0.8172
No log	8.2857	174	0.6947	0.3204	0.6947	0.8335
No log	8.3810	176	0.7737	0.3407	0.7737	0.8796
No log	8.4762	178	0.8780	0.3407	0.8780	0.9370
No log	8.5714	180	0.9398	0.3435	0.9398	0.9694
No log	8.6667	182	0.9822	0.3435	0.9822	0.9911
No log	8.7619	184	0.9950	0.3435	0.9950	0.9975
No log	8.8571	186	0.9687	0.3460	0.9687	0.9842
No log	8.9524	188	0.9028	0.3435	0.9028	0.9502
No log	9.0476	190	0.8450	0.3407	0.8450	0.9193
No log	9.1429	192	0.7892	0.3377	0.7892	0.8884
No log	9.2381	194	0.7719	0.3345	0.7719	0.8786
No log	9.3333	196	0.7487	0.4003	0.7487	0.8652
No log	9.4286	198	0.7463	0.4003	0.7463	0.8639
No log	9.5238	200	0.7628	0.4007	0.7628	0.8734
No log	9.6190	202	0.7888	0.4012	0.7888	0.8881
No log	9.7143	204	0.8176	0.3435	0.8176	0.9042
No log	9.8095	206	0.8446	0.3435	0.8446	0.9190
No log	9.9048	208	0.8614	0.3435	0.8614	0.9281
No log	10.0	210	0.8674	0.3435	0.8674	0.9313

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits_FineTuningAraBERT_AugV5_k10_task3_organization_fold1

ArabicNewSplits_FineTuningAraBERT_AugV5_k10_task3_organization_fold1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits_FineTuningAraBERT_AugV5_k10_task3_organization_fold1