Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.1333	2	2.0376	0.0796	2.0376	1.4274
No log	0.2667	4	0.9360	0.3357	0.9360	0.9674
No log	0.4	6	0.8823	0.2578	0.8823	0.9393
No log	0.5333	8	1.0137	0.2578	1.0137	1.0068
No log	0.6667	10	0.9472	0.2578	0.9472	0.9732
No log	0.8	12	0.8729	0.3548	0.8729	0.9343
No log	0.9333	14	0.8777	0.4888	0.8777	0.9369
No log	1.0667	16	0.8718	0.4848	0.8718	0.9337
No log	1.2	18	0.8058	0.5195	0.8058	0.8976
No log	1.3333	20	0.6286	0.5253	0.6286	0.7928
No log	1.4667	22	0.4650	0.5223	0.4650	0.6819
No log	1.6	24	0.4631	0.5745	0.4631	0.6805
No log	1.7333	26	0.4282	0.6243	0.4282	0.6544
No log	1.8667	28	0.4358	0.6581	0.4358	0.6601
No log	2.0	30	0.5688	0.5536	0.5688	0.7542
No log	2.1333	32	0.7062	0.3980	0.7062	0.8403
No log	2.2667	34	0.7535	0.3980	0.7535	0.8681
No log	2.4	36	0.7505	0.5195	0.7505	0.8663
No log	2.5333	38	0.6853	0.5862	0.6853	0.8278
No log	2.6667	40	0.5459	0.7094	0.5459	0.7389
No log	2.8	42	0.4649	0.7442	0.4649	0.6819
No log	2.9333	44	0.4700	0.6944	0.4700	0.6856
No log	3.0667	46	0.4505	0.7442	0.4505	0.6712
No log	3.2	48	0.4978	0.7074	0.4978	0.7055
No log	3.3333	50	0.5526	0.6667	0.5526	0.7433
No log	3.4667	52	0.5800	0.6287	0.5800	0.7616
No log	3.6	54	0.7154	0.6119	0.7154	0.8458
No log	3.7333	56	0.8173	0.5975	0.8173	0.9041
No log	3.8667	58	0.7902	0.6444	0.7902	0.8889
No log	4.0	60	0.7274	0.6372	0.7274	0.8529
No log	4.1333	62	0.5889	0.7229	0.5889	0.7674
No log	4.2667	64	0.5217	0.6766	0.5217	0.7223
No log	4.4	66	0.5341	0.6992	0.5341	0.7308
No log	4.5333	68	0.6118	0.6977	0.6118	0.7822
No log	4.6667	70	0.6933	0.6119	0.6933	0.8326
No log	4.8	72	0.7101	0.6119	0.7101	0.8427
No log	4.9333	74	0.6291	0.6934	0.6291	0.7932
No log	5.0667	76	0.5575	0.6977	0.5575	0.7466
No log	5.2	78	0.5152	0.7229	0.5152	0.7177
No log	5.3333	80	0.4642	0.7356	0.4642	0.6813
No log	5.4667	82	0.4859	0.7356	0.4859	0.6971
No log	5.6	84	0.5469	0.7229	0.5469	0.7396
No log	5.7333	86	0.5841	0.7229	0.5841	0.7643
No log	5.8667	88	0.5844	0.7229	0.5844	0.7644
No log	6.0	90	0.6187	0.7229	0.6187	0.7866
No log	6.1333	92	0.7243	0.6977	0.7243	0.8510
No log	6.2667	94	0.8514	0.6185	0.8514	0.9227
No log	6.4	96	0.9142	0.5732	0.9142	0.9562
No log	6.5333	98	0.9106	0.5732	0.9106	0.9543
No log	6.6667	100	0.8101	0.6008	0.8101	0.9001
No log	6.8	102	0.6956	0.7002	0.6956	0.8340
No log	6.9333	104	0.5594	0.7229	0.5594	0.7479
No log	7.0667	106	0.5182	0.7356	0.5182	0.7199
No log	7.2	108	0.5248	0.7356	0.5248	0.7244
No log	7.3333	110	0.5105	0.7356	0.5105	0.7145
No log	7.4667	112	0.5547	0.6977	0.5547	0.7448
No log	7.6	114	0.6232	0.6977	0.6232	0.7894
No log	7.7333	116	0.6667	0.6721	0.6667	0.8165
No log	7.8667	118	0.7060	0.6171	0.7060	0.8402
No log	8.0	120	0.7253	0.5918	0.7253	0.8516
No log	8.1333	122	0.7139	0.6462	0.7139	0.8450
No log	8.2667	124	0.7104	0.6462	0.7104	0.8429
No log	8.4	126	0.7219	0.6462	0.7219	0.8496
No log	8.5333	128	0.7473	0.5918	0.7473	0.8645
No log	8.6667	130	0.7336	0.6988	0.7336	0.8565
No log	8.8	132	0.6998	0.6963	0.6998	0.8365
No log	8.9333	134	0.6571	0.6963	0.6571	0.8106
No log	9.0667	136	0.6447	0.7430	0.6447	0.8029
No log	9.2	138	0.6402	0.7430	0.6402	0.8002
No log	9.3333	140	0.6517	0.7430	0.6517	0.8073
No log	9.4667	142	0.6580	0.7430	0.6580	0.8111
No log	9.6	144	0.6649	0.7430	0.6649	0.8154
No log	9.7333	146	0.6630	0.7430	0.6630	0.8143
No log	9.8667	148	0.6576	0.7430	0.6576	0.8110
No log	10.0	150	0.6545	0.7430	0.6545	0.8090

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/Arabic_FineTuningAraBERT_AugV5_k1_task5_organization_fold0

Arabic_FineTuningAraBERT_AugV5_k1_task5_organization_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
Arabic_FineTuningAraBERT_AugV5_k1_task5_organization_fold0