Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.08	2	3.9887	0.0121	3.9887	1.9972
No log	0.16	4	2.0675	-0.0631	2.0675	1.4379
No log	0.24	6	1.1915	-0.0078	1.1915	1.0915
No log	0.32	8	1.2654	0.0	1.2654	1.1249
No log	0.4	10	1.5339	0.0	1.5339	1.2385
No log	0.48	12	2.0445	0.0	2.0445	1.4299
No log	0.56	14	1.9141	0.0	1.9141	1.3835
No log	0.64	16	1.5501	0.0	1.5501	1.2450
No log	0.72	18	1.4360	0.0	1.4360	1.1983
No log	0.8	20	1.1617	0.0	1.1617	1.0778
No log	0.88	22	0.9584	-0.0235	0.9584	0.9790
No log	0.96	24	0.8434	0.0273	0.8434	0.9184
No log	1.04	26	1.0593	-0.0738	1.0593	1.0292
No log	1.12	28	1.2208	-0.0884	1.2208	1.1049
No log	1.2	30	1.6372	0.0	1.6372	1.2795
No log	1.28	32	1.5838	0.0	1.5838	1.2585
No log	1.3600	34	1.2848	0.0	1.2848	1.1335
No log	1.44	36	0.9371	0.0143	0.9371	0.9680
No log	1.52	38	0.8285	0.1116	0.8285	0.9102
No log	1.6	40	0.8272	-0.0358	0.8272	0.9095
No log	1.6800	42	0.7396	0.2102	0.7396	0.8600
No log	1.76	44	0.8218	0.0491	0.8218	0.9065
No log	1.8400	46	0.8713	-0.0057	0.8713	0.9334
No log	1.92	48	0.9725	0.0114	0.9725	0.9861
No log	2.0	50	1.1228	0.0687	1.1228	1.0596
No log	2.08	52	0.8399	0.0513	0.8399	0.9164
No log	2.16	54	0.6536	0.2102	0.6536	0.8085
No log	2.24	56	0.6472	0.2102	0.6472	0.8045
No log	2.32	58	0.8407	0.0534	0.8407	0.9169
No log	2.4	60	1.3915	0.0265	1.3915	1.1796
No log	2.48	62	1.6479	-0.0106	1.6479	1.2837
No log	2.56	64	1.3356	0.0687	1.3356	1.1557
No log	2.64	66	0.8989	-0.0486	0.8989	0.9481
No log	2.7200	68	0.6737	0.2102	0.6737	0.8208
No log	2.8	70	0.7122	-0.1689	0.7122	0.8439
No log	2.88	72	0.6739	-0.0978	0.6739	0.8209
No log	2.96	74	0.6283	0.1113	0.6283	0.7926
No log	3.04	76	0.7597	0.0229	0.7597	0.8716
No log	3.12	78	1.1071	-0.0392	1.1071	1.0522
No log	3.2	80	1.0967	-0.0392	1.0967	1.0472
No log	3.2800	82	0.7670	0.0229	0.7670	0.8758
No log	3.36	84	0.6549	0.2051	0.6549	0.8093
No log	3.44	86	0.6356	0.2051	0.6356	0.7972
No log	3.52	88	0.6965	0.0229	0.6965	0.8346
No log	3.6	90	0.8102	0.1120	0.8102	0.9001
No log	3.68	92	0.7710	0.1119	0.7710	0.8781
No log	3.76	94	0.6584	0.0181	0.6584	0.8114
No log	3.84	96	0.6191	0.1113	0.6191	0.7868
No log	3.92	98	0.6160	0.1113	0.6160	0.7849
No log	4.0	100	0.6341	0.0181	0.6341	0.7963
No log	4.08	102	0.7720	0.0273	0.7720	0.8786
No log	4.16	104	0.7334	0.0273	0.7334	0.8564
No log	4.24	106	0.6207	0.2102	0.6207	0.7879
No log	4.32	108	0.6104	0.1113	0.6104	0.7813
No log	4.4	110	0.6058	0.1113	0.6058	0.7783
No log	4.48	112	0.6759	0.1021	0.6759	0.8222
No log	4.5600	114	0.7823	-0.0423	0.7823	0.8845
No log	4.64	116	0.7590	-0.0495	0.7590	0.8712
No log	4.72	118	0.6789	0.2102	0.6789	0.8239
No log	4.8	120	0.6311	0.1954	0.6311	0.7944
No log	4.88	122	0.6638	0.2727	0.6638	0.8148
No log	4.96	124	0.7497	-0.0616	0.7497	0.8659
No log	5.04	126	0.7369	-0.0814	0.7369	0.8584
No log	5.12	128	0.7190	0.1024	0.7190	0.8479
No log	5.2	130	0.7476	0.0817	0.7476	0.8646
No log	5.28	132	0.7982	0.0394	0.7982	0.8934
No log	5.36	134	0.8917	0.1175	0.8917	0.9443
No log	5.44	136	0.8949	0.1243	0.8949	0.9460
No log	5.52	138	0.8015	0.0516	0.8015	0.8953
No log	5.6	140	0.7641	0.1924	0.7641	0.8741
No log	5.68	142	0.7677	0.1229	0.7677	0.8762
No log	5.76	144	0.7642	0.1229	0.7642	0.8742
No log	5.84	146	0.7447	0.0742	0.7447	0.8629
No log	5.92	148	0.7085	0.0301	0.7085	0.8417
No log	6.0	150	0.6874	0.2143	0.6874	0.8291
No log	6.08	152	0.6980	0.2143	0.6980	0.8354
No log	6.16	154	0.6786	0.2143	0.6786	0.8238
No log	6.24	156	0.6847	-0.0321	0.6847	0.8274
No log	6.32	158	0.7094	0.0334	0.7094	0.8423
No log	6.4	160	0.6790	0.0390	0.6790	0.8240
No log	6.48	162	0.6614	0.2143	0.6614	0.8132
No log	6.5600	164	0.6835	0.2383	0.6835	0.8267
No log	6.64	166	0.7288	0.2332	0.7288	0.8537
No log	6.72	168	0.7004	0.2332	0.7004	0.8369
No log	6.8	170	0.6581	0.2034	0.6581	0.8112
No log	6.88	172	0.6916	-0.1240	0.6916	0.8316
No log	6.96	174	0.7247	-0.0544	0.7247	0.8513
No log	7.04	176	0.6961	-0.1232	0.6961	0.8343
No log	7.12	178	0.6553	0.1674	0.6553	0.8095
No log	7.2	180	0.6741	0.1417	0.6741	0.8211
No log	7.28	182	0.7140	0.2135	0.7140	0.8450
No log	7.36	184	0.6988	0.1407	0.6988	0.8360
No log	7.44	186	0.6981	0.1588	0.6981	0.8355
No log	7.52	188	0.7382	-0.0480	0.7382	0.8592
No log	7.6	190	0.7554	0.0148	0.7554	0.8691
No log	7.68	192	0.7490	-0.0480	0.7490	0.8655
No log	7.76	194	0.7265	0.1573	0.7265	0.8523
No log	7.84	196	0.7109	0.1655	0.7109	0.8432
No log	7.92	198	0.6975	0.1655	0.6975	0.8352
No log	8.0	200	0.6884	0.0965	0.6884	0.8297
No log	8.08	202	0.7058	-0.0480	0.7058	0.8401
No log	8.16	204	0.7050	-0.0480	0.7050	0.8396
No log	8.24	206	0.6812	-0.0389	0.6812	0.8254
No log	8.32	208	0.6570	0.2377	0.6570	0.8106
No log	8.4	210	0.6535	0.2487	0.6535	0.8084
No log	8.48	212	0.6604	0.1764	0.6604	0.8127
No log	8.56	214	0.6676	0.0312	0.6676	0.8171
No log	8.64	216	0.6750	-0.0389	0.6750	0.8216
No log	8.72	218	0.6783	-0.0449	0.6783	0.8236
No log	8.8	220	0.6753	-0.0449	0.6753	0.8218
No log	8.88	222	0.6530	-0.0449	0.6530	0.8081
No log	8.96	224	0.6285	0.0450	0.6285	0.7928
No log	9.04	226	0.6177	0.1962	0.6177	0.7860
No log	9.12	228	0.6130	0.1962	0.6130	0.7829
No log	9.2	230	0.6093	0.1962	0.6093	0.7806
No log	9.28	232	0.6108	0.1268	0.6108	0.7816
No log	9.36	234	0.6182	0.0420	0.6182	0.7863
No log	9.44	236	0.6249	0.0420	0.6249	0.7905
No log	9.52	238	0.6316	0.0301	0.6316	0.7947
No log	9.6	240	0.6403	0.0266	0.6403	0.8002
No log	9.68	242	0.6415	0.0266	0.6415	0.8009
No log	9.76	244	0.6389	0.0301	0.6389	0.7993
No log	9.84	246	0.6368	0.0301	0.6368	0.7980
No log	9.92	248	0.6364	0.0301	0.6364	0.7977
No log	10.0	250	0.6365	0.0301	0.6365	0.7978

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_fold0

ArabicNewSplits_FineTuningAraBERT_AugV5_k10_task3_organization_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits_FineTuningAraBERT_AugV5_k10_task3_organization_fold0