Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.1176	2	5.3971	0.0035	5.3971	2.3232
No log	0.2353	4	3.2997	0.0555	3.2997	1.8165
No log	0.3529	6	1.8405	0.0764	1.8405	1.3566
No log	0.4706	8	1.3277	0.1493	1.3277	1.1523
No log	0.5882	10	1.2154	0.2082	1.2154	1.1025
No log	0.7059	12	1.1616	0.2080	1.1616	1.0778
No log	0.8235	14	1.1758	0.1778	1.1758	1.0844
No log	0.9412	16	1.1813	0.1460	1.1813	1.0869
No log	1.0588	18	1.1886	0.1283	1.1886	1.0902
No log	1.1765	20	1.2083	0.1963	1.2083	1.0992
No log	1.2941	22	1.2640	0.2070	1.2640	1.1243
No log	1.4118	24	1.4093	0.0877	1.4093	1.1871
No log	1.5294	26	1.2677	0.2530	1.2677	1.1259
No log	1.6471	28	1.0989	0.3512	1.0989	1.0483
No log	1.7647	30	1.0933	0.3155	1.0933	1.0456
No log	1.8824	32	1.0571	0.2097	1.0571	1.0282
No log	2.0	34	1.0593	0.1735	1.0593	1.0292
No log	2.1176	36	1.1439	0.3110	1.1439	1.0695
No log	2.2353	38	1.1580	0.2934	1.1580	1.0761
No log	2.3529	40	1.1143	0.2032	1.1143	1.0556
No log	2.4706	42	1.0514	0.2268	1.0514	1.0254
No log	2.5882	44	1.0177	0.2295	1.0177	1.0088
No log	2.7059	46	0.9648	0.2719	0.9648	0.9822
No log	2.8235	48	0.9055	0.3146	0.9055	0.9516
No log	2.9412	50	0.8871	0.3531	0.8871	0.9418
No log	3.0588	52	0.8953	0.3928	0.8953	0.9462
No log	3.1765	54	0.8718	0.4765	0.8718	0.9337
No log	3.2941	56	0.8583	0.4982	0.8583	0.9265
No log	3.4118	58	0.8601	0.5085	0.8601	0.9274
No log	3.5294	60	0.9512	0.3147	0.9512	0.9753
No log	3.6471	62	1.2351	0.2907	1.2351	1.1113
No log	3.7647	64	1.1565	0.4030	1.1565	1.0754
No log	3.8824	66	0.8689	0.5295	0.8689	0.9322
No log	4.0	68	0.8452	0.5646	0.8452	0.9194
No log	4.1176	70	0.8731	0.5821	0.8731	0.9344
No log	4.2353	72	0.9253	0.5808	0.9253	0.9619
No log	4.3529	74	1.0048	0.5229	1.0048	1.0024
No log	4.4706	76	0.9246	0.5899	0.9246	0.9616
No log	4.5882	78	0.8446	0.6508	0.8446	0.9190
No log	4.7059	80	0.7924	0.6169	0.7924	0.8902
No log	4.8235	82	0.8397	0.5885	0.8397	0.9163
No log	4.9412	84	0.8797	0.5538	0.8797	0.9379
No log	5.0588	86	0.8221	0.6011	0.8221	0.9067
No log	5.1765	88	0.7434	0.6149	0.7434	0.8622
No log	5.2941	90	0.7735	0.6021	0.7735	0.8795
No log	5.4118	92	0.7575	0.6338	0.7575	0.8703
No log	5.5294	94	0.8602	0.6147	0.8602	0.9275
No log	5.6471	96	0.8480	0.5896	0.8480	0.9209
No log	5.7647	98	0.7694	0.6276	0.7694	0.8772
No log	5.8824	100	0.7453	0.6372	0.7453	0.8633
No log	6.0	102	0.7434	0.6247	0.7434	0.8622
No log	6.1176	104	0.7456	0.6247	0.7456	0.8635
No log	6.2353	106	0.7336	0.6278	0.7336	0.8565
No log	6.3529	108	0.7446	0.6093	0.7446	0.8629
No log	6.4706	110	0.8299	0.6381	0.8299	0.9110
No log	6.5882	112	0.7516	0.6538	0.7516	0.8669
No log	6.7059	114	0.9352	0.6076	0.9352	0.9670
No log	6.8235	116	1.1790	0.5133	1.1790	1.0858
No log	6.9412	118	0.9716	0.5743	0.9716	0.9857
No log	7.0588	120	0.7468	0.6822	0.7468	0.8642
No log	7.1765	122	0.6849	0.6757	0.6849	0.8276
No log	7.2941	124	0.6794	0.6418	0.6794	0.8243
No log	7.4118	126	0.6723	0.6508	0.6723	0.8199
No log	7.5294	128	0.7116	0.6715	0.7116	0.8435
No log	7.6471	130	0.7571	0.6726	0.7571	0.8701
No log	7.7647	132	0.9523	0.5866	0.9523	0.9759
No log	7.8824	134	0.9683	0.5831	0.9683	0.9840
No log	8.0	136	0.8155	0.6521	0.8155	0.9030
No log	8.1176	138	0.7174	0.6275	0.7174	0.8470
No log	8.2353	140	0.7363	0.6266	0.7363	0.8581
No log	8.3529	142	0.8341	0.6050	0.8341	0.9133
No log	8.4706	144	0.8634	0.6085	0.8634	0.9292
No log	8.5882	146	0.8447	0.6339	0.8447	0.9191
No log	8.7059	148	0.7169	0.6693	0.7169	0.8467
No log	8.8235	150	0.7023	0.6748	0.7023	0.8381
No log	8.9412	152	0.7532	0.6910	0.7532	0.8679
No log	9.0588	154	0.8183	0.6607	0.8183	0.9046
No log	9.1765	156	0.7787	0.6834	0.7787	0.8824
No log	9.2941	158	0.7133	0.6610	0.7133	0.8446
No log	9.4118	160	0.7235	0.6539	0.7235	0.8506
No log	9.5294	162	0.7907	0.6428	0.7907	0.8892
No log	9.6471	164	1.0101	0.5191	1.0101	1.0050
No log	9.7647	166	1.0023	0.5806	1.0023	1.0012
No log	9.8824	168	0.9130	0.6412	0.9130	0.9555
No log	10.0	170	0.8153	0.6583	0.8153	0.9029
No log	10.1176	172	0.8201	0.6230	0.8201	0.9056
No log	10.2353	174	0.8531	0.6202	0.8531	0.9236
No log	10.3529	176	1.0388	0.5469	1.0388	1.0192
No log	10.4706	178	1.1576	0.5061	1.1576	1.0759
No log	10.5882	180	0.9625	0.5336	0.9625	0.9811
No log	10.7059	182	0.8146	0.5910	0.8146	0.9025
No log	10.8235	184	0.7409	0.6077	0.7409	0.8608
No log	10.9412	186	0.7491	0.6245	0.7491	0.8655
No log	11.0588	188	0.7452	0.6071	0.7452	0.8633
No log	11.1765	190	0.7043	0.6510	0.7043	0.8392
No log	11.2941	192	0.8358	0.6558	0.8358	0.9142
No log	11.4118	194	0.9847	0.5669	0.9847	0.9923
No log	11.5294	196	0.8850	0.6356	0.8850	0.9407
No log	11.6471	198	0.8224	0.6657	0.8224	0.9069
No log	11.7647	200	0.7297	0.6683	0.7297	0.8542
No log	11.8824	202	0.7210	0.6541	0.7210	0.8491
No log	12.0	204	0.7437	0.6265	0.7437	0.8624
No log	12.1176	206	0.8518	0.6036	0.8518	0.9229
No log	12.2353	208	0.8849	0.6023	0.8849	0.9407
No log	12.3529	210	0.8433	0.6202	0.8433	0.9183
No log	12.4706	212	0.7951	0.6368	0.7951	0.8917
No log	12.5882	214	0.7840	0.6801	0.7840	0.8854
No log	12.7059	216	0.8770	0.6441	0.8770	0.9365
No log	12.8235	218	0.9386	0.6548	0.9386	0.9688
No log	12.9412	220	0.8785	0.6340	0.8785	0.9373
No log	13.0588	222	0.7923	0.6507	0.7923	0.8901
No log	13.1765	224	0.6610	0.6724	0.6610	0.8130
No log	13.2941	226	0.6605	0.6530	0.6605	0.8127
No log	13.4118	228	0.6977	0.6578	0.6977	0.8353
No log	13.5294	230	0.7549	0.6473	0.7549	0.8688
No log	13.6471	232	0.8501	0.6444	0.8501	0.9220
No log	13.7647	234	0.8577	0.6374	0.8577	0.9261
No log	13.8824	236	0.8260	0.6250	0.8260	0.9088
No log	14.0	238	0.8303	0.6327	0.8303	0.9112
No log	14.1176	240	0.8974	0.6226	0.8974	0.9473
No log	14.2353	242	0.9519	0.5829	0.9519	0.9756
No log	14.3529	244	0.8688	0.6264	0.8688	0.9321
No log	14.4706	246	0.8197	0.6560	0.8197	0.9053
No log	14.5882	248	0.7542	0.6617	0.7542	0.8684
No log	14.7059	250	0.7127	0.6776	0.7127	0.8442
No log	14.8235	252	0.6281	0.7079	0.6281	0.7925
No log	14.9412	254	0.6147	0.6926	0.6147	0.7840
No log	15.0588	256	0.6410	0.7451	0.6410	0.8006
No log	15.1765	258	0.6561	0.7255	0.6561	0.8100
No log	15.2941	260	0.6759	0.7048	0.6759	0.8221
No log	15.4118	262	0.6304	0.7040	0.6304	0.7940
No log	15.5294	264	0.6359	0.6862	0.6359	0.7974
No log	15.6471	266	0.6710	0.6785	0.6710	0.8191
No log	15.7647	268	0.7065	0.6765	0.7065	0.8405
No log	15.8824	270	0.7140	0.6835	0.7140	0.8450
No log	16.0	272	0.7496	0.6705	0.7496	0.8658
No log	16.1176	274	0.6880	0.6894	0.6880	0.8295
No log	16.2353	276	0.6794	0.6813	0.6794	0.8243
No log	16.3529	278	0.6969	0.7006	0.6969	0.8348
No log	16.4706	280	0.7519	0.6774	0.7519	0.8671
No log	16.5882	282	0.9041	0.6165	0.9041	0.9508
No log	16.7059	284	1.1317	0.5031	1.1317	1.0638
No log	16.8235	286	1.0886	0.5031	1.0886	1.0434
No log	16.9412	288	0.9811	0.6158	0.9811	0.9905
No log	17.0588	290	0.9159	0.6241	0.9159	0.9570
No log	17.1765	292	0.8281	0.6426	0.8281	0.9100
No log	17.2941	294	0.7936	0.6608	0.7936	0.8908
No log	17.4118	296	0.7322	0.6804	0.7322	0.8557
No log	17.5294	298	0.7012	0.6731	0.7012	0.8374
No log	17.6471	300	0.7466	0.6431	0.7466	0.8641
No log	17.7647	302	0.9573	0.5819	0.9573	0.9784
No log	17.8824	304	1.1370	0.5341	1.1370	1.0663
No log	18.0	306	1.0496	0.5423	1.0496	1.0245
No log	18.1176	308	0.8496	0.5947	0.8496	0.9218
No log	18.2353	310	0.7603	0.6677	0.7603	0.8720
No log	18.3529	312	0.6756	0.6641	0.6756	0.8220
No log	18.4706	314	0.6604	0.6640	0.6604	0.8126
No log	18.5882	316	0.6905	0.6878	0.6905	0.8310
No log	18.7059	318	0.8176	0.6667	0.8176	0.9042
No log	18.8235	320	0.9934	0.6230	0.9934	0.9967
No log	18.9412	322	0.9090	0.6222	0.9090	0.9534
No log	19.0588	324	0.7624	0.6665	0.7624	0.8732
No log	19.1765	326	0.6728	0.6809	0.6728	0.8203
No log	19.2941	328	0.6351	0.6599	0.6351	0.7969
No log	19.4118	330	0.6366	0.6740	0.6366	0.7979
No log	19.5294	332	0.6590	0.6510	0.6590	0.8118
No log	19.6471	334	0.7776	0.6486	0.7776	0.8818
No log	19.7647	336	0.8383	0.6285	0.8383	0.9156
No log	19.8824	338	0.7832	0.6517	0.7832	0.8850
No log	20.0	340	0.7799	0.6303	0.7799	0.8831
No log	20.1176	342	0.8046	0.6512	0.8046	0.8970
No log	20.2353	344	0.8967	0.6074	0.8967	0.9469
No log	20.3529	346	0.9438	0.6004	0.9438	0.9715
No log	20.4706	348	0.9020	0.5998	0.9020	0.9497
No log	20.5882	350	0.8057	0.6368	0.8057	0.8976
No log	20.7059	352	0.7211	0.6879	0.7211	0.8492
No log	20.8235	354	0.7050	0.6812	0.7050	0.8396
No log	20.9412	356	0.6886	0.6989	0.6886	0.8298
No log	21.0588	358	0.7595	0.6283	0.7595	0.8715
No log	21.1765	360	0.8107	0.6122	0.8107	0.9004
No log	21.2941	362	0.7579	0.6445	0.7579	0.8706
No log	21.4118	364	0.7588	0.6543	0.7588	0.8711
No log	21.5294	366	0.8339	0.6074	0.8339	0.9132
No log	21.6471	368	0.9678	0.6328	0.9678	0.9838
No log	21.7647	370	1.0096	0.6194	1.0096	1.0048
No log	21.8824	372	0.8757	0.6379	0.8757	0.9358
No log	22.0	374	0.7123	0.6534	0.7123	0.8440
No log	22.1176	376	0.6675	0.6664	0.6675	0.8170
No log	22.2353	378	0.7123	0.6571	0.7123	0.8440
No log	22.3529	380	0.8211	0.6359	0.8211	0.9061
No log	22.4706	382	0.9010	0.6068	0.9010	0.9492
No log	22.5882	384	0.9156	0.6004	0.9156	0.9569
No log	22.7059	386	0.8502	0.6342	0.8502	0.9221
No log	22.8235	388	0.7709	0.6338	0.7709	0.8780
No log	22.9412	390	0.7772	0.6327	0.7772	0.8816
No log	23.0588	392	0.7294	0.6807	0.7294	0.8540
No log	23.1765	394	0.7118	0.6741	0.7118	0.8437
No log	23.2941	396	0.7801	0.6357	0.7801	0.8832
No log	23.4118	398	0.8476	0.6183	0.8476	0.9207
No log	23.5294	400	0.9654	0.5695	0.9654	0.9826
No log	23.6471	402	1.0117	0.5795	1.0117	1.0058
No log	23.7647	404	0.9931	0.5772	0.9931	0.9965
No log	23.8824	406	0.9421	0.5947	0.9421	0.9706
No log	24.0	408	0.8893	0.6218	0.8893	0.9430
No log	24.1176	410	0.8059	0.6551	0.8059	0.8977
No log	24.2353	412	0.7532	0.6707	0.7532	0.8679
No log	24.3529	414	0.7812	0.6740	0.7812	0.8838
No log	24.4706	416	0.9153	0.6393	0.9153	0.9567
No log	24.5882	418	1.0479	0.6033	1.0479	1.0236
No log	24.7059	420	1.0226	0.5756	1.0226	1.0112
No log	24.8235	422	0.8546	0.6252	0.8546	0.9245
No log	24.9412	424	0.7321	0.6298	0.7321	0.8556
No log	25.0588	426	0.6971	0.6115	0.6971	0.8349
No log	25.1765	428	0.7142	0.5949	0.7142	0.8451
No log	25.2941	430	0.8130	0.6126	0.8130	0.9016
No log	25.4118	432	0.9583	0.6016	0.9583	0.9789
No log	25.5294	434	0.9752	0.6026	0.9752	0.9875
No log	25.6471	436	0.8900	0.6069	0.8900	0.9434
No log	25.7647	438	0.7848	0.6279	0.7848	0.8859
No log	25.8824	440	0.7213	0.6409	0.7213	0.8493
No log	26.0	442	0.7140	0.6463	0.7140	0.8450
No log	26.1176	444	0.7403	0.6433	0.7403	0.8604
No log	26.2353	446	0.7316	0.6593	0.7316	0.8553
No log	26.3529	448	0.7299	0.6484	0.7299	0.8543
No log	26.4706	450	0.7277	0.6458	0.7277	0.8530
No log	26.5882	452	0.7113	0.6217	0.7113	0.8434
No log	26.7059	454	0.6856	0.6525	0.6856	0.8280
No log	26.8235	456	0.6703	0.6395	0.6703	0.8187
No log	26.9412	458	0.6686	0.6469	0.6686	0.8177
No log	27.0588	460	0.6838	0.6532	0.6838	0.8269
No log	27.1765	462	0.7286	0.6387	0.7286	0.8536
No log	27.2941	464	0.7556	0.6727	0.7556	0.8692
No log	27.4118	466	0.7700	0.7031	0.7700	0.8775
No log	27.5294	468	0.7447	0.7136	0.7447	0.8629
No log	27.6471	470	0.7011	0.6933	0.7011	0.8373
No log	27.7647	472	0.6961	0.6599	0.6961	0.8343
No log	27.8824	474	0.7259	0.6622	0.7259	0.8520
No log	28.0	476	0.7100	0.6565	0.7100	0.8426
No log	28.1176	478	0.7055	0.6620	0.7055	0.8400
No log	28.2353	480	0.6767	0.6574	0.6767	0.8226
No log	28.3529	482	0.6623	0.6519	0.6623	0.8138
No log	28.4706	484	0.6749	0.6599	0.6749	0.8216
No log	28.5882	486	0.7202	0.6634	0.7202	0.8487
No log	28.7059	488	0.6984	0.6737	0.6984	0.8357
No log	28.8235	490	0.7002	0.6737	0.7002	0.8368
No log	28.9412	492	0.7035	0.6686	0.7035	0.8388
No log	29.0588	494	0.7645	0.6459	0.7645	0.8744
No log	29.1765	496	0.8260	0.6252	0.8260	0.9088
No log	29.2941	498	0.8172	0.6340	0.8172	0.9040
0.3935	29.4118	500	0.7484	0.6635	0.7484	0.8651
0.3935	29.5294	502	0.6872	0.6653	0.6872	0.8290
0.3935	29.6471	504	0.6863	0.6705	0.6863	0.8284
0.3935	29.7647	506	0.7470	0.6866	0.7470	0.8643
0.3935	29.8824	508	0.9416	0.6290	0.9416	0.9704
0.3935	30.0	510	1.1123	0.6007	1.1123	1.0547
0.3935	30.1176	512	1.1756	0.5816	1.1756	1.0843
0.3935	30.2353	514	1.0556	0.6117	1.0556	1.0274
0.3935	30.3529	516	0.8244	0.6447	0.8244	0.9079

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k3_task1_organization

ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k3_task1_organization

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k3_task1_organization