Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.1667	2	4.7942	-0.0070	4.7942	2.1896
No log	0.3333	4	2.8749	0.0148	2.8749	1.6956
No log	0.5	6	1.8365	0.1657	1.8365	1.3552
No log	0.6667	8	1.5736	0.0669	1.5736	1.2544
No log	0.8333	10	1.1637	0.3167	1.1637	1.0787
No log	1.0	12	0.9989	0.3294	0.9989	0.9994
No log	1.1667	14	0.9857	0.2771	0.9857	0.9928
No log	1.3333	16	0.9837	0.3340	0.9837	0.9918
No log	1.5	18	0.9926	0.3187	0.9926	0.9963
No log	1.6667	20	0.9556	0.3496	0.9556	0.9776
No log	1.8333	22	1.0159	0.4607	1.0159	1.0079
No log	2.0	24	1.0944	0.2088	1.0944	1.0461
No log	2.1667	26	1.2360	0.3066	1.2360	1.1117
No log	2.3333	28	1.2012	0.3191	1.2012	1.0960
No log	2.5	30	0.8739	0.4600	0.8739	0.9348
No log	2.6667	32	0.7884	0.4288	0.7884	0.8879
No log	2.8333	34	0.8704	0.3241	0.8704	0.9329
No log	3.0	36	0.9557	0.3145	0.9558	0.9776
No log	3.1667	38	1.0370	0.4525	1.0370	1.0183
No log	3.3333	40	1.0010	0.4079	1.0010	1.0005
No log	3.5	42	0.9268	0.4525	0.9268	0.9627
No log	3.6667	44	0.8356	0.4288	0.8356	0.9141
No log	3.8333	46	0.7762	0.4332	0.7762	0.8810
No log	4.0	48	0.7641	0.3942	0.7641	0.8742
No log	4.1667	50	0.7513	0.4145	0.7513	0.8668
No log	4.3333	52	0.7365	0.5361	0.7365	0.8582
No log	4.5	54	0.7209	0.5635	0.7209	0.8491
No log	4.6667	56	0.7322	0.6307	0.7322	0.8557
No log	4.8333	58	0.7865	0.6238	0.7865	0.8868
No log	5.0	60	0.8142	0.5740	0.8142	0.9023
No log	5.1667	62	0.8458	0.5740	0.8458	0.9197
No log	5.3333	64	0.8082	0.6173	0.8082	0.8990
No log	5.5	66	0.7698	0.5823	0.7698	0.8774
No log	5.6667	68	0.7587	0.5848	0.7587	0.8710
No log	5.8333	70	0.7338	0.5727	0.7338	0.8566
No log	6.0	72	0.7125	0.5980	0.7125	0.8441
No log	6.1667	74	0.7204	0.6121	0.7204	0.8487
No log	6.3333	76	0.7252	0.6143	0.7252	0.8516
No log	6.5	78	0.7196	0.6143	0.7196	0.8483
No log	6.6667	80	0.7138	0.6143	0.7138	0.8449
No log	6.8333	82	0.7181	0.6081	0.7181	0.8474
No log	7.0	84	0.7227	0.6081	0.7227	0.8501
No log	7.1667	86	0.7222	0.6199	0.7222	0.8498
No log	7.3333	88	0.7287	0.6218	0.7287	0.8537
No log	7.5	90	0.7331	0.6218	0.7331	0.8562
No log	7.6667	92	0.7325	0.6081	0.7325	0.8559
No log	7.8333	94	0.7362	0.6081	0.7362	0.8580
No log	8.0	96	0.7500	0.5944	0.7500	0.8660
No log	8.1667	98	0.7428	0.6081	0.7428	0.8618
No log	8.3333	100	0.7407	0.6081	0.7407	0.8606
No log	8.5	102	0.7378	0.6081	0.7378	0.8589
No log	8.6667	104	0.7382	0.6081	0.7382	0.8592
No log	8.8333	106	0.7368	0.6081	0.7368	0.8584
No log	9.0	108	0.7411	0.6059	0.7411	0.8609
No log	9.1667	110	0.7527	0.6176	0.7527	0.8676
No log	9.3333	112	0.7646	0.6634	0.7646	0.8744
No log	9.5	114	0.7691	0.6634	0.7691	0.8770
No log	9.6667	116	0.7690	0.6634	0.7690	0.8769
No log	9.8333	118	0.7678	0.6634	0.7678	0.8762
No log	10.0	120	0.7671	0.6634	0.7671	0.8758

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits2_FineTuningAraBERT_run2_AugV5_k2_task1_organization

ArabicNewSplits2_FineTuningAraBERT_run2_AugV5_k2_task1_organization

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits2_FineTuningAraBERT_run2_AugV5_k2_task1_organization