Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.1667	2	4.2066	0.0024	4.2066	2.0510
No log	0.3333	4	2.4718	0.0560	2.4718	1.5722
No log	0.5	6	1.2418	0.0951	1.2418	1.1144
No log	0.6667	8	0.9260	0.0877	0.9260	0.9623
No log	0.8333	10	0.7984	0.0993	0.7984	0.8935
No log	1.0	12	0.6853	0.1971	0.6853	0.8278
No log	1.1667	14	0.7253	0.1208	0.7253	0.8516
No log	1.3333	16	0.7596	0.1063	0.7596	0.8715
No log	1.5	18	0.7345	0.1063	0.7345	0.8570
No log	1.6667	20	0.6925	0.1960	0.6925	0.8322
No log	1.8333	22	0.6550	0.1966	0.6550	0.8093
No log	2.0	24	0.6434	0.3123	0.6434	0.8021
No log	2.1667	26	0.6493	0.3767	0.6493	0.8058
No log	2.3333	28	0.6550	0.3420	0.6550	0.8093
No log	2.5	30	0.6591	0.3098	0.6591	0.8118
No log	2.6667	32	0.6556	0.3224	0.6556	0.8097
No log	2.8333	34	0.6760	0.3302	0.6760	0.8222
No log	3.0	36	0.6302	0.3684	0.6302	0.7938
No log	3.1667	38	0.5847	0.3792	0.5847	0.7647
No log	3.3333	40	0.5739	0.3438	0.5739	0.7576
No log	3.5	42	0.5675	0.3296	0.5675	0.7533
No log	3.6667	44	0.5617	0.3942	0.5617	0.7495
No log	3.8333	46	0.5663	0.4355	0.5663	0.7525
No log	4.0	48	0.5578	0.5129	0.5578	0.7469
No log	4.1667	50	0.5506	0.4465	0.5506	0.7421
No log	4.3333	52	0.5525	0.4016	0.5525	0.7433
No log	4.5	54	0.5444	0.4191	0.5444	0.7378
No log	4.6667	56	0.5384	0.4226	0.5384	0.7338
No log	4.8333	58	0.5521	0.4695	0.5521	0.7430
No log	5.0	60	0.5859	0.4765	0.5859	0.7655
No log	5.1667	62	0.6037	0.4739	0.6037	0.7770
No log	5.3333	64	0.5609	0.4618	0.5609	0.7489
No log	5.5	66	0.5379	0.4306	0.5379	0.7334
No log	5.6667	68	0.5426	0.4414	0.5426	0.7366
No log	5.8333	70	0.5424	0.4496	0.5424	0.7365
No log	6.0	72	0.5455	0.4837	0.5455	0.7386
No log	6.1667	74	0.5481	0.5	0.5481	0.7404
No log	6.3333	76	0.5458	0.4857	0.5458	0.7388
No log	6.5	78	0.5501	0.5	0.5501	0.7417
No log	6.6667	80	0.5517	0.5	0.5517	0.7427
No log	6.8333	82	0.5470	0.5056	0.5470	0.7396
No log	7.0	84	0.5518	0.4975	0.5518	0.7428
No log	7.1667	86	0.5507	0.4807	0.5507	0.7421
No log	7.3333	88	0.5469	0.5087	0.5469	0.7395
No log	7.5	90	0.5488	0.5117	0.5488	0.7408
No log	7.6667	92	0.5539	0.525	0.5539	0.7442
No log	7.8333	94	0.5630	0.5303	0.5630	0.7503
No log	8.0	96	0.5688	0.5419	0.5688	0.7542
No log	8.1667	98	0.5668	0.5668	0.5668	0.7528
No log	8.3333	100	0.5647	0.5598	0.5647	0.7514
No log	8.5	102	0.5654	0.5817	0.5654	0.7519
No log	8.6667	104	0.5687	0.5909	0.5687	0.7541
No log	8.8333	106	0.5702	0.5909	0.5702	0.7551
No log	9.0	108	0.5703	0.5909	0.5703	0.7552
No log	9.1667	110	0.5719	0.5909	0.5719	0.7562
No log	9.3333	112	0.5714	0.6014	0.5714	0.7559
No log	9.5	114	0.5710	0.5991	0.5710	0.7556
No log	9.6667	116	0.5702	0.6139	0.5702	0.7551
No log	9.8333	118	0.5703	0.6139	0.5703	0.7552
No log	10.0	120	0.5706	0.6139	0.5706	0.7554

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits4_FineTuningAraBERT_run2_AugV5_k2_task2_organization

ArabicNewSplits4_FineTuningAraBERT_run2_AugV5_k2_task2_organization

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits4_FineTuningAraBERT_run2_AugV5_k2_task2_organization