Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.0465	2	5.3426	-0.0588	5.3426	2.3114
No log	0.0930	4	2.9747	0.0631	2.9747	1.7247
No log	0.1395	6	2.0197	0.0915	2.0197	1.4212
No log	0.1860	8	1.8819	0.0238	1.8819	1.3718
No log	0.2326	10	1.5077	0.1180	1.5077	1.2279
No log	0.2791	12	1.1993	0.2085	1.1993	1.0951
No log	0.3256	14	1.1799	0.2066	1.1799	1.0862
No log	0.3721	16	1.6225	-0.0361	1.6225	1.2738
No log	0.4186	18	2.4819	0.0599	2.4819	1.5754
No log	0.4651	20	2.4048	0.0695	2.4048	1.5507
No log	0.5116	22	1.7913	0.0434	1.7913	1.3384
No log	0.5581	24	1.4076	0.0415	1.4076	1.1864
No log	0.6047	26	1.2397	0.2094	1.2397	1.1134
No log	0.6512	28	1.1429	0.2348	1.1429	1.0691
No log	0.6977	30	1.0996	0.1732	1.0996	1.0486
No log	0.7442	32	1.1034	0.1517	1.1034	1.0504
No log	0.7907	34	1.0698	0.2028	1.0698	1.0343
No log	0.8372	36	1.0119	0.2560	1.0119	1.0059
No log	0.8837	38	0.9666	0.3752	0.9666	0.9831
No log	0.9302	40	0.9359	0.4668	0.9359	0.9674
No log	0.9767	42	0.9086	0.4681	0.9086	0.9532
No log	1.0233	44	0.9038	0.4581	0.9038	0.9507
No log	1.0698	46	1.0247	0.4178	1.0247	1.0123
No log	1.1163	48	0.9829	0.4314	0.9829	0.9914
No log	1.1628	50	0.7676	0.5872	0.7676	0.8761
No log	1.2093	52	0.6962	0.6060	0.6962	0.8344
No log	1.2558	54	0.7328	0.5701	0.7328	0.8560
No log	1.3023	56	0.7544	0.5391	0.7544	0.8686
No log	1.3488	58	0.7904	0.4788	0.7904	0.8890
No log	1.3953	60	0.8859	0.5055	0.8859	0.9412
No log	1.4419	62	1.1316	0.3672	1.1316	1.0638
No log	1.4884	64	1.0224	0.4251	1.0224	1.0111
No log	1.5349	66	0.7501	0.5855	0.7501	0.8661
No log	1.5814	68	0.7394	0.5558	0.7394	0.8599
No log	1.6279	70	0.8051	0.5760	0.8051	0.8973
No log	1.6744	72	0.7201	0.5640	0.7201	0.8486
No log	1.7209	74	0.6830	0.6453	0.6830	0.8265
No log	1.7674	76	0.7219	0.5938	0.7219	0.8497
No log	1.8140	78	0.7097	0.6212	0.7097	0.8424
No log	1.8605	80	0.7227	0.6077	0.7227	0.8501
No log	1.9070	82	0.8706	0.5430	0.8706	0.9331
No log	1.9535	84	0.9785	0.5053	0.9785	0.9892
No log	2.0	86	0.9982	0.4520	0.9982	0.9991
No log	2.0465	88	0.9204	0.5244	0.9204	0.9594
No log	2.0930	90	0.7325	0.6938	0.7325	0.8558
No log	2.1395	92	0.6780	0.7242	0.6780	0.8234
No log	2.1860	94	0.7023	0.7000	0.7023	0.8380
No log	2.2326	96	0.7519	0.6669	0.7519	0.8671
No log	2.2791	98	0.9423	0.5903	0.9423	0.9707
No log	2.3256	100	0.9280	0.5995	0.9280	0.9633
No log	2.3721	102	0.9850	0.5869	0.9850	0.9925
No log	2.4186	104	1.0121	0.5588	1.0121	1.0061
No log	2.4651	106	0.9604	0.5813	0.9604	0.9800
No log	2.5116	108	0.9357	0.5872	0.9357	0.9673
No log	2.5581	110	0.8133	0.6557	0.8133	0.9019
No log	2.6047	112	0.6954	0.7181	0.6954	0.8339
No log	2.6512	114	0.6719	0.7147	0.6719	0.8197
No log	2.6977	116	0.7892	0.6979	0.7892	0.8884
No log	2.7442	118	0.7984	0.7068	0.7984	0.8935
No log	2.7907	120	0.6917	0.7128	0.6917	0.8317
No log	2.8372	122	0.6119	0.7002	0.6119	0.7823
No log	2.8837	124	0.6185	0.7223	0.6185	0.7865
No log	2.9302	126	0.6868	0.7177	0.6868	0.8287
No log	2.9767	128	0.6956	0.7148	0.6956	0.8340
No log	3.0233	130	0.6602	0.6872	0.6602	0.8126
No log	3.0698	132	0.6790	0.6702	0.6790	0.8240
No log	3.1163	134	0.7032	0.6545	0.7032	0.8385
No log	3.1628	136	0.6668	0.6768	0.6668	0.8166
No log	3.2093	138	0.6501	0.7021	0.6501	0.8063
No log	3.2558	140	0.6510	0.6858	0.6510	0.8069
No log	3.3023	142	0.6681	0.6694	0.6681	0.8174
No log	3.3488	144	0.6818	0.6849	0.6818	0.8257
No log	3.3953	146	0.8425	0.6762	0.8425	0.9179
No log	3.4419	148	1.0471	0.6380	1.0471	1.0233
No log	3.4884	150	1.0683	0.6305	1.0683	1.0336
No log	3.5349	152	1.1093	0.6041	1.1093	1.0532
No log	3.5814	154	1.0187	0.6355	1.0187	1.0093
No log	3.6279	156	0.9008	0.6604	0.9008	0.9491
No log	3.6744	158	0.9376	0.6093	0.9376	0.9683
No log	3.7209	160	1.0308	0.5553	1.0308	1.0153
No log	3.7674	162	1.1371	0.5239	1.1371	1.0663
No log	3.8140	164	1.0475	0.5265	1.0475	1.0235
No log	3.8605	166	0.8425	0.6229	0.8425	0.9179
No log	3.9070	168	0.6957	0.6438	0.6957	0.8341
No log	3.9535	170	0.6638	0.6223	0.6638	0.8148
No log	4.0	172	0.6657	0.6649	0.6657	0.8159
No log	4.0465	174	0.7597	0.6608	0.7597	0.8716
No log	4.0930	176	0.9777	0.5879	0.9777	0.9888
No log	4.1395	178	1.1227	0.5728	1.1227	1.0596
No log	4.1860	180	1.0650	0.5738	1.0650	1.0320
No log	4.2326	182	0.8602	0.6386	0.8602	0.9275
No log	4.2791	184	0.6959	0.7242	0.6959	0.8342
No log	4.3256	186	0.6845	0.7179	0.6845	0.8273
No log	4.3721	188	0.6523	0.6954	0.6523	0.8076
No log	4.4186	190	0.6600	0.6824	0.6600	0.8124
No log	4.4651	192	0.7157	0.6844	0.7157	0.8460
No log	4.5116	194	0.7287	0.6844	0.7287	0.8536
No log	4.5581	196	0.7100	0.6801	0.7100	0.8426
No log	4.6047	198	0.6991	0.7064	0.6991	0.8361
No log	4.6512	200	0.7121	0.6695	0.7121	0.8439
No log	4.6977	202	0.8074	0.6305	0.8074	0.8986
No log	4.7442	204	0.9354	0.5984	0.9354	0.9671
No log	4.7907	206	0.9631	0.5956	0.9631	0.9814
No log	4.8372	208	1.0143	0.6099	1.0143	1.0071
No log	4.8837	210	1.0312	0.6248	1.0312	1.0155
No log	4.9302	212	0.9410	0.6517	0.9410	0.9701
No log	4.9767	214	0.8480	0.6898	0.8480	0.9209
No log	5.0233	216	0.8786	0.6742	0.8786	0.9373
No log	5.0698	218	0.9003	0.6476	0.9003	0.9488
No log	5.1163	220	0.8276	0.6788	0.8276	0.9097
No log	5.1628	222	0.7118	0.6855	0.7118	0.8437
No log	5.2093	224	0.6490	0.7095	0.6490	0.8056
No log	5.2558	226	0.6195	0.7127	0.6195	0.7871
No log	5.3023	228	0.6083	0.7201	0.6083	0.7799
No log	5.3488	230	0.6121	0.7097	0.6121	0.7824
No log	5.3953	232	0.6632	0.7407	0.6632	0.8143
No log	5.4419	234	0.7423	0.6922	0.7423	0.8616
No log	5.4884	236	0.7421	0.6933	0.7421	0.8615
No log	5.5349	238	0.7048	0.7057	0.7048	0.8396
No log	5.5814	240	0.6491	0.7292	0.6491	0.8057
No log	5.6279	242	0.6099	0.7162	0.6099	0.7810
No log	5.6744	244	0.5993	0.7077	0.5993	0.7742
No log	5.7209	246	0.6100	0.7098	0.6100	0.7810
No log	5.7674	248	0.6614	0.7086	0.6614	0.8133
No log	5.8140	250	0.6934	0.7160	0.6934	0.8327
No log	5.8605	252	0.7005	0.7295	0.7005	0.8370
No log	5.9070	254	0.6727	0.7160	0.6727	0.8202
No log	5.9535	256	0.6344	0.7049	0.6344	0.7965
No log	6.0	258	0.6361	0.7049	0.6361	0.7975
No log	6.0465	260	0.6436	0.7079	0.6436	0.8023
No log	6.0930	262	0.6588	0.7095	0.6588	0.8117
No log	6.1395	264	0.6710	0.7169	0.6710	0.8191
No log	6.1860	266	0.6896	0.7228	0.6896	0.8304
No log	6.2326	268	0.7269	0.7427	0.7269	0.8526
No log	6.2791	270	0.7748	0.7016	0.7748	0.8802
No log	6.3256	272	0.7524	0.7212	0.7524	0.8674
No log	6.3721	274	0.7360	0.7359	0.7360	0.8579
No log	6.4186	276	0.6731	0.7155	0.6731	0.8204
No log	6.4651	278	0.6396	0.7095	0.6396	0.7998
No log	6.5116	280	0.6446	0.7155	0.6446	0.8029
No log	6.5581	282	0.6853	0.7185	0.6853	0.8278
No log	6.6047	284	0.7500	0.7074	0.7500	0.8660
No log	6.6512	286	0.7428	0.7253	0.7428	0.8618
No log	6.6977	288	0.7007	0.7238	0.7007	0.8371
No log	6.7442	290	0.6554	0.7149	0.6554	0.8096
No log	6.7907	292	0.6309	0.7155	0.6309	0.7943
No log	6.8372	294	0.6245	0.7276	0.6245	0.7903
No log	6.8837	296	0.6391	0.7334	0.6391	0.7994
No log	6.9302	298	0.6371	0.7334	0.6371	0.7982
No log	6.9767	300	0.6206	0.7219	0.6206	0.7878
No log	7.0233	302	0.5827	0.7324	0.5827	0.7634
No log	7.0698	304	0.5585	0.7342	0.5585	0.7473
No log	7.1163	306	0.5606	0.7436	0.5606	0.7487
No log	7.1628	308	0.5706	0.7362	0.5706	0.7554
No log	7.2093	310	0.5681	0.7469	0.5681	0.7538
No log	7.2558	312	0.5751	0.7469	0.5751	0.7584
No log	7.3023	314	0.5998	0.7239	0.5998	0.7745
No log	7.3488	316	0.6362	0.7277	0.6362	0.7976
No log	7.3953	318	0.6444	0.7193	0.6444	0.8027
No log	7.4419	320	0.6281	0.7197	0.6281	0.7925
No log	7.4884	322	0.6194	0.7159	0.6194	0.7870
No log	7.5349	324	0.5978	0.7389	0.5978	0.7732
No log	7.5814	326	0.5952	0.7389	0.5952	0.7715
No log	7.6279	328	0.5968	0.7218	0.5968	0.7725
No log	7.6744	330	0.5953	0.7465	0.5953	0.7716
No log	7.7209	332	0.5943	0.7408	0.5943	0.7709
No log	7.7674	334	0.5917	0.7408	0.5917	0.7692
No log	7.8140	336	0.5898	0.7273	0.5898	0.7680
No log	7.8605	338	0.5935	0.7331	0.5935	0.7704
No log	7.9070	340	0.5991	0.7389	0.5991	0.7740
No log	7.9535	342	0.6005	0.7389	0.6005	0.7749
No log	8.0	344	0.6004	0.7367	0.6004	0.7748
No log	8.0465	346	0.5920	0.7389	0.5920	0.7694
No log	8.0930	348	0.5902	0.7389	0.5902	0.7683
No log	8.1395	350	0.5851	0.7453	0.5851	0.7649
No log	8.1860	352	0.5831	0.7453	0.5831	0.7636
No log	8.2326	354	0.5822	0.7430	0.5822	0.7630
No log	8.2791	356	0.5828	0.7400	0.5828	0.7634
No log	8.3256	358	0.5906	0.7400	0.5906	0.7685
No log	8.3721	360	0.6086	0.7371	0.6086	0.7802
No log	8.4186	362	0.6230	0.7149	0.6230	0.7893
No log	8.4651	364	0.6153	0.7270	0.6153	0.7844
No log	8.5116	366	0.6009	0.7371	0.6009	0.7752
No log	8.5581	368	0.5849	0.7458	0.5849	0.7648
No log	8.6047	370	0.5699	0.7464	0.5699	0.7549
No log	8.6512	372	0.5638	0.7495	0.5638	0.7508
No log	8.6977	374	0.5610	0.7543	0.5610	0.7490
No log	8.7442	376	0.5641	0.7580	0.5641	0.7511
No log	8.7907	378	0.5726	0.7430	0.5726	0.7567
No log	8.8372	380	0.5764	0.7430	0.5764	0.7592
No log	8.8837	382	0.5763	0.7430	0.5763	0.7592
No log	8.9302	384	0.5799	0.7367	0.5799	0.7615
No log	8.9767	386	0.5890	0.7441	0.5890	0.7675
No log	9.0233	388	0.5946	0.7496	0.5946	0.7711
No log	9.0698	390	0.5958	0.7496	0.5958	0.7719
No log	9.1163	392	0.5989	0.7396	0.5989	0.7739
No log	9.1628	394	0.5996	0.7412	0.5996	0.7743
No log	9.2093	396	0.6061	0.7412	0.6061	0.7785
No log	9.2558	398	0.6156	0.7543	0.6156	0.7846
No log	9.3023	400	0.6232	0.7307	0.6232	0.7894
No log	9.3488	402	0.6327	0.7307	0.6327	0.7954
No log	9.3953	404	0.6329	0.7307	0.6329	0.7956
No log	9.4419	406	0.6267	0.7307	0.6267	0.7917
No log	9.4884	408	0.6249	0.7307	0.6249	0.7905
No log	9.5349	410	0.6209	0.7229	0.6209	0.7880
No log	9.5814	412	0.6178	0.7229	0.6178	0.7860
No log	9.6279	414	0.6158	0.7229	0.6158	0.7847
No log	9.6744	416	0.6128	0.7349	0.6128	0.7828
No log	9.7209	418	0.6101	0.7412	0.6101	0.7811
No log	9.7674	420	0.6072	0.7412	0.6072	0.7792
No log	9.8140	422	0.6039	0.7412	0.6039	0.7771
No log	9.8605	424	0.6016	0.7412	0.6016	0.7756
No log	9.9070	426	0.6009	0.7412	0.6009	0.7752
No log	9.9535	428	0.6012	0.7412	0.6012	0.7754
No log	10.0	430	0.6012	0.7412	0.6012	0.7754

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits4_FineTuningAraBERT_run1_AugV5_k9_task1_organization

ArabicNewSplits4_FineTuningAraBERT_run1_AugV5_k9_task1_organization

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits4_FineTuningAraBERT_run1_AugV5_k9_task1_organization