Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.1818	2	3.5138	0.0205	3.5138	1.8745
No log	0.3636	4	2.8850	0.0332	2.8850	1.6985
No log	0.5455	6	1.7330	0.0281	1.7330	1.3164
No log	0.7273	8	0.9872	0.1555	0.9872	0.9936
No log	0.9091	10	0.8887	0.0299	0.8887	0.9427
No log	1.0909	12	0.9501	0.0455	0.9501	0.9747
No log	1.2727	14	1.2743	0.0443	1.2743	1.1288
No log	1.4545	16	1.2202	-0.0142	1.2202	1.1046
No log	1.6364	18	1.0289	0.0	1.0289	1.0143
No log	1.8182	20	0.9362	0.0115	0.9362	0.9676
No log	2.0	22	1.0053	0.0597	1.0053	1.0026
No log	2.1818	24	1.1830	0.0455	1.1830	1.0876
No log	2.3636	26	1.2575	0.0455	1.2575	1.1214
No log	2.5455	28	1.1691	0.0455	1.1691	1.0813
No log	2.7273	30	0.9639	0.0239	0.9639	0.9818
No log	2.9091	32	0.8229	0.0690	0.8229	0.9072
No log	3.0909	34	0.8554	0.1699	0.8554	0.9249
No log	3.2727	36	0.8669	0.1686	0.8669	0.9311
No log	3.4545	38	0.8147	0.1136	0.8147	0.9026
No log	3.6364	40	0.8061	0.1454	0.8061	0.8978
No log	3.8182	42	0.9195	0.1860	0.9195	0.9589
No log	4.0	44	0.9956	0.1728	0.9956	0.9978
No log	4.1818	46	0.9798	0.1885	0.9798	0.9899
No log	4.3636	48	0.9353	0.1728	0.9353	0.9671
No log	4.5455	50	0.8256	0.2463	0.8256	0.9086
No log	4.7273	52	0.7235	0.2720	0.7235	0.8506
No log	4.9091	54	0.7028	0.1677	0.7028	0.8383
No log	5.0909	56	0.7018	0.2305	0.7018	0.8377
No log	5.2727	58	0.7010	0.2129	0.7010	0.8372
No log	5.4545	60	0.7160	0.2104	0.7160	0.8461
No log	5.6364	62	0.7396	0.2712	0.7396	0.8600
No log	5.8182	64	0.7186	0.2395	0.7186	0.8477
No log	6.0	66	0.6972	0.3106	0.6972	0.8350
No log	6.1818	68	0.6996	0.3024	0.6996	0.8364
No log	6.3636	70	0.7043	0.3024	0.7043	0.8392
No log	6.5455	72	0.7064	0.2810	0.7064	0.8405
No log	6.7273	74	0.7098	0.3774	0.7098	0.8425
No log	6.9091	76	0.7348	0.3824	0.7348	0.8572
No log	7.0909	78	0.7792	0.3389	0.7792	0.8827
No log	7.2727	80	0.7880	0.3389	0.7880	0.8877
No log	7.4545	82	0.7750	0.3869	0.7750	0.8803
No log	7.6364	84	0.7596	0.4011	0.7596	0.8716
No log	7.8182	86	0.7623	0.3833	0.7623	0.8731
No log	8.0	88	0.7723	0.3426	0.7723	0.8788
No log	8.1818	90	0.7875	0.3885	0.7875	0.8874
No log	8.3636	92	0.8049	0.4301	0.8049	0.8972
No log	8.5455	94	0.8269	0.4557	0.8269	0.9093
No log	8.7273	96	0.8420	0.4557	0.8420	0.9176
No log	8.9091	98	0.8553	0.4118	0.8553	0.9248
No log	9.0909	100	0.8624	0.3913	0.8624	0.9287
No log	9.2727	102	0.8630	0.4118	0.8630	0.9290
No log	9.4545	104	0.8659	0.3913	0.8659	0.9306
No log	9.6364	106	0.8648	0.4118	0.8648	0.9300
No log	9.8182	108	0.8674	0.3913	0.8674	0.9314
No log	10.0	110	0.8680	0.3913	0.8680	0.9317

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits_FineTuningAraBERT_AugV5_k3_task2_organization_fold0

ArabicNewSplits_FineTuningAraBERT_AugV5_k3_task2_organization_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits_FineTuningAraBERT_AugV5_k3_task2_organization_fold0