Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask7_development

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5806
• Qwk: 0.5631
• Mse: 0.5806
• Rmse: 0.7620

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.0202	2	3.8201	-0.0048	3.8201	1.9545
No log	0.0404	4	2.8516	0.0557	2.8516	1.6887
No log	0.0606	6	1.6463	0.0997	1.6463	1.2831
No log	0.0808	8	0.7609	0.1997	0.7609	0.8723
No log	0.1010	10	0.7725	0.0256	0.7725	0.8789
No log	0.1212	12	0.9123	-0.0172	0.9123	0.9551
No log	0.1414	14	0.8664	0.0026	0.8664	0.9308
No log	0.1616	16	0.7816	0.0328	0.7816	0.8841
No log	0.1818	18	0.6613	0.0892	0.6613	0.8132
No log	0.2020	20	0.6727	0.3461	0.6727	0.8202
No log	0.2222	22	0.7231	0.2589	0.7231	0.8503
No log	0.2424	24	0.6292	0.3518	0.6292	0.7932
No log	0.2626	26	0.5721	0.3695	0.5721	0.7564
No log	0.2828	28	0.6909	0.1568	0.6909	0.8312
No log	0.3030	30	0.6832	0.2332	0.6832	0.8265
No log	0.3232	32	0.6265	0.3172	0.6265	0.7915
No log	0.3434	34	0.5742	0.4019	0.5742	0.7577
No log	0.3636	36	0.5533	0.4235	0.5533	0.7438
No log	0.3838	38	0.5750	0.3371	0.5750	0.7583
No log	0.4040	40	0.5739	0.3326	0.5739	0.7576
No log	0.4242	42	0.5582	0.3674	0.5582	0.7471
No log	0.4444	44	0.5163	0.4235	0.5163	0.7186
No log	0.4646	46	0.5340	0.4104	0.5340	0.7308
No log	0.4848	48	0.6408	0.2833	0.6408	0.8005
No log	0.5051	50	0.6745	0.2680	0.6745	0.8212
No log	0.5253	52	0.6289	0.3398	0.6289	0.7930
No log	0.5455	54	0.5498	0.4331	0.5498	0.7415
No log	0.5657	56	0.5390	0.5119	0.5390	0.7342
No log	0.5859	58	0.5254	0.5022	0.5254	0.7248
No log	0.6061	60	0.5307	0.4131	0.5307	0.7285
No log	0.6263	62	0.5910	0.3423	0.5910	0.7688
No log	0.6465	64	0.7147	0.2449	0.7147	0.8454
No log	0.6667	66	0.7491	0.2421	0.7491	0.8655
No log	0.6869	68	0.6881	0.3737	0.6881	0.8295
No log	0.7071	70	0.6412	0.5019	0.6412	0.8007
No log	0.7273	72	0.5705	0.5596	0.5705	0.7553
No log	0.7475	74	0.4957	0.5507	0.4957	0.7040
No log	0.7677	76	0.4640	0.5208	0.4640	0.6812
No log	0.7879	78	0.4573	0.5272	0.4573	0.6762
No log	0.8081	80	0.4450	0.5088	0.4450	0.6671
No log	0.8283	82	0.4706	0.4794	0.4706	0.6860
No log	0.8485	84	0.5419	0.3899	0.5419	0.7361
No log	0.8687	86	0.6341	0.3609	0.6341	0.7963
No log	0.8889	88	0.5732	0.4481	0.5732	0.7571
No log	0.9091	90	0.5485	0.5585	0.5485	0.7406
No log	0.9293	92	0.4730	0.5883	0.4730	0.6877
No log	0.9495	94	0.4443	0.6155	0.4443	0.6666
No log	0.9697	96	0.4999	0.6115	0.4999	0.7071
No log	0.9899	98	0.4884	0.6075	0.4884	0.6988
No log	1.0101	100	0.5933	0.5814	0.5933	0.7703
No log	1.0303	102	0.6671	0.5429	0.6671	0.8167
No log	1.0505	104	0.6513	0.5636	0.6513	0.8070
No log	1.0707	106	0.5374	0.5934	0.5374	0.7331
No log	1.0909	108	0.5365	0.5972	0.5365	0.7325
No log	1.1111	110	0.5230	0.5371	0.5230	0.7232
No log	1.1313	112	0.5504	0.4835	0.5504	0.7419
No log	1.1515	114	0.5192	0.4909	0.5192	0.7205
No log	1.1717	116	0.5146	0.5294	0.5146	0.7173
No log	1.1919	118	0.4893	0.5260	0.4893	0.6995
No log	1.2121	120	0.4794	0.5402	0.4794	0.6924
No log	1.2323	122	0.4597	0.5205	0.4597	0.6780
No log	1.2525	124	0.4893	0.5129	0.4893	0.6995
No log	1.2727	126	0.5888	0.4181	0.5888	0.7673
No log	1.2929	128	0.5927	0.3581	0.5927	0.7698
No log	1.3131	130	0.5709	0.3834	0.5709	0.7556
No log	1.3333	132	0.5217	0.4659	0.5217	0.7223
No log	1.3535	134	0.4838	0.5322	0.4838	0.6956
No log	1.3737	136	0.5128	0.5551	0.5128	0.7161
No log	1.3939	138	0.6273	0.5480	0.6273	0.7920
No log	1.4141	140	0.6923	0.5571	0.6923	0.8321
No log	1.4343	142	0.6351	0.5576	0.6351	0.7969
No log	1.4545	144	0.6667	0.5239	0.6667	0.8165
No log	1.4747	146	0.7168	0.4242	0.7168	0.8466
No log	1.4949	148	0.6381	0.4236	0.6381	0.7988
No log	1.5152	150	0.6385	0.3783	0.6385	0.7991
No log	1.5354	152	0.6551	0.3322	0.6551	0.8094
No log	1.5556	154	0.6203	0.3688	0.6203	0.7876
No log	1.5758	156	0.5377	0.4622	0.5377	0.7333
No log	1.5960	158	0.6562	0.5153	0.6562	0.8101
No log	1.6162	160	0.9157	0.4221	0.9157	0.9569
No log	1.6364	162	0.9608	0.4583	0.9608	0.9802
No log	1.6566	164	1.0409	0.4389	1.0409	1.0203
No log	1.6768	166	0.9013	0.4864	0.9013	0.9494
No log	1.6970	168	0.6828	0.5692	0.6828	0.8263
No log	1.7172	170	0.5449	0.5895	0.5449	0.7382
No log	1.7374	172	0.5228	0.5939	0.5228	0.7231
No log	1.7576	174	0.4980	0.5880	0.4980	0.7057
No log	1.7778	176	0.4385	0.5636	0.4385	0.6622
No log	1.7980	178	0.4946	0.4494	0.4946	0.7033
No log	1.8182	180	0.7067	0.2774	0.7067	0.8406
No log	1.8384	182	0.9071	0.1782	0.9071	0.9524
No log	1.8586	184	0.9211	0.1128	0.9211	0.9597
No log	1.8788	186	0.8185	0.0547	0.8185	0.9047
No log	1.8990	188	0.6726	0.1653	0.6726	0.8201
No log	1.9192	190	0.5304	0.3613	0.5304	0.7283
No log	1.9394	192	0.4775	0.5232	0.4775	0.6910
No log	1.9596	194	0.6332	0.3338	0.6332	0.7957
No log	1.9798	196	0.7073	0.2729	0.7073	0.8410
No log	2.0	198	0.6526	0.3217	0.6526	0.8078
No log	2.0202	200	0.5171	0.4965	0.5171	0.7191
No log	2.0404	202	0.4123	0.6020	0.4123	0.6421
No log	2.0606	204	0.4445	0.4542	0.4445	0.6667
No log	2.0808	206	0.5704	0.4695	0.5704	0.7553
No log	2.1010	208	0.7118	0.4495	0.7118	0.8437
No log	2.1212	210	0.7145	0.4902	0.7145	0.8453
No log	2.1414	212	0.5935	0.6089	0.5935	0.7704
No log	2.1616	214	0.5078	0.6403	0.5078	0.7126
No log	2.1818	216	0.5159	0.6563	0.5159	0.7182
No log	2.2020	218	0.4520	0.6339	0.4520	0.6723
No log	2.2222	220	0.4077	0.6269	0.4077	0.6385
No log	2.2424	222	0.4984	0.5571	0.4984	0.7060
No log	2.2626	224	0.5830	0.4955	0.5830	0.7635
No log	2.2828	226	0.5514	0.4611	0.5514	0.7425
No log	2.3030	228	0.5456	0.4514	0.5456	0.7387
No log	2.3232	230	0.4845	0.5259	0.4845	0.6961
No log	2.3434	232	0.4351	0.5211	0.4351	0.6596
No log	2.3636	234	0.4361	0.5370	0.4361	0.6604
No log	2.3838	236	0.4190	0.5777	0.4190	0.6473
No log	2.4040	238	0.4437	0.5362	0.4437	0.6661
No log	2.4242	240	0.5630	0.5341	0.5630	0.7503
No log	2.4444	242	0.6251	0.5162	0.6251	0.7906
No log	2.4646	244	0.6731	0.5253	0.6731	0.8204
No log	2.4848	246	0.5797	0.5555	0.5797	0.7614
No log	2.5051	248	0.4386	0.6368	0.4386	0.6622
No log	2.5253	250	0.4205	0.6658	0.4205	0.6484
No log	2.5455	252	0.4122	0.6556	0.4122	0.6420
No log	2.5657	254	0.4206	0.6222	0.4206	0.6486
No log	2.5859	256	0.5747	0.5804	0.5747	0.7581
No log	2.6061	258	0.7764	0.4642	0.7764	0.8811
No log	2.6263	260	0.7382	0.4742	0.7382	0.8592
No log	2.6465	262	0.5983	0.4951	0.5983	0.7735
No log	2.6667	264	0.4368	0.5626	0.4368	0.6609
No log	2.6869	266	0.4332	0.5797	0.4332	0.6582
No log	2.7071	268	0.4273	0.5756	0.4273	0.6537
No log	2.7273	270	0.5086	0.5001	0.5086	0.7132
No log	2.7475	272	0.5652	0.4814	0.5652	0.7518
No log	2.7677	274	0.5486	0.4847	0.5486	0.7407
No log	2.7879	276	0.4850	0.5055	0.4850	0.6964
No log	2.8081	278	0.4041	0.6093	0.4041	0.6357
No log	2.8283	280	0.3914	0.6175	0.3914	0.6257
No log	2.8485	282	0.3953	0.6292	0.3953	0.6287
No log	2.8687	284	0.5139	0.5607	0.5139	0.7169
No log	2.8889	286	0.6306	0.5397	0.6306	0.7941
No log	2.9091	288	0.6704	0.5437	0.6704	0.8188
No log	2.9293	290	0.6487	0.5360	0.6487	0.8054
No log	2.9495	292	0.5224	0.5928	0.5224	0.7228
No log	2.9697	294	0.4781	0.6161	0.4781	0.6915
No log	2.9899	296	0.5448	0.5328	0.5448	0.7381
No log	3.0101	298	0.5716	0.4956	0.5716	0.7561
No log	3.0303	300	0.5130	0.4976	0.5130	0.7163
No log	3.0505	302	0.5222	0.4777	0.5222	0.7226
No log	3.0707	304	0.5823	0.4544	0.5823	0.7631
No log	3.0909	306	0.5318	0.5025	0.5318	0.7293
No log	3.1111	308	0.4175	0.5744	0.4175	0.6461
No log	3.1313	310	0.3828	0.5991	0.3828	0.6187
No log	3.1515	312	0.3858	0.6115	0.3858	0.6212
No log	3.1717	314	0.3837	0.6326	0.3837	0.6194
No log	3.1919	316	0.3843	0.6532	0.3843	0.6199
No log	3.2121	318	0.4211	0.5706	0.4211	0.6489
No log	3.2323	320	0.6338	0.5258	0.6338	0.7961
No log	3.2525	322	0.7523	0.4875	0.7523	0.8673
No log	3.2727	324	0.6793	0.4836	0.6793	0.8242
No log	3.2929	326	0.5077	0.5505	0.5077	0.7125
No log	3.3131	328	0.4411	0.5805	0.4411	0.6641
No log	3.3333	330	0.4461	0.5620	0.4461	0.6679
No log	3.3535	332	0.4497	0.5484	0.4497	0.6706
No log	3.3737	334	0.5390	0.5454	0.5390	0.7342
No log	3.3939	336	0.6627	0.5445	0.6627	0.8141
No log	3.4141	338	0.6997	0.5645	0.6997	0.8365
No log	3.4343	340	0.6324	0.5804	0.6324	0.7952
No log	3.4545	342	0.5730	0.6036	0.5730	0.7570
No log	3.4747	344	0.5281	0.6255	0.5281	0.7267
No log	3.4949	346	0.4826	0.6587	0.4826	0.6947
No log	3.5152	348	0.4558	0.6407	0.4558	0.6751
No log	3.5354	350	0.5483	0.5802	0.5483	0.7405
No log	3.5556	352	0.7012	0.5439	0.7012	0.8374
No log	3.5758	354	0.6683	0.5453	0.6683	0.8175
No log	3.5960	356	0.5045	0.5776	0.5045	0.7103
No log	3.6162	358	0.4279	0.5968	0.4279	0.6541
No log	3.6364	360	0.4173	0.5779	0.4173	0.6460
No log	3.6566	362	0.5126	0.5916	0.5126	0.7160
No log	3.6768	364	0.7432	0.5070	0.7432	0.8621
No log	3.6970	366	0.7413	0.5142	0.7413	0.8610
No log	3.7172	368	0.5595	0.5376	0.5595	0.7480
No log	3.7374	370	0.4554	0.5365	0.4554	0.6748
No log	3.7576	372	0.4155	0.5693	0.4155	0.6446
No log	3.7778	374	0.4052	0.6221	0.4052	0.6365
No log	3.7980	376	0.3938	0.6386	0.3938	0.6275
No log	3.8182	378	0.3988	0.6046	0.3988	0.6315
No log	3.8384	380	0.5153	0.5774	0.5153	0.7179
No log	3.8586	382	0.6085	0.5489	0.6085	0.7801
No log	3.8788	384	0.7164	0.5411	0.7164	0.8464
No log	3.8990	386	0.6803	0.5186	0.6803	0.8248
No log	3.9192	388	0.6235	0.5188	0.6235	0.7896
No log	3.9394	390	0.5010	0.5640	0.5010	0.7078
No log	3.9596	392	0.4012	0.6279	0.4012	0.6334
No log	3.9798	394	0.4024	0.6738	0.4024	0.6343
No log	4.0	396	0.3957	0.6689	0.3957	0.6291
No log	4.0202	398	0.3937	0.6219	0.3937	0.6275
No log	4.0404	400	0.4746	0.5574	0.4746	0.6889
No log	4.0606	402	0.5537	0.5130	0.5537	0.7441
No log	4.0808	404	0.5097	0.5569	0.5097	0.7139
No log	4.1010	406	0.4290	0.6113	0.4290	0.6550
No log	4.1212	408	0.4468	0.6207	0.4468	0.6684
No log	4.1414	410	0.5683	0.5570	0.5683	0.7538
No log	4.1616	412	0.6967	0.5373	0.6967	0.8347
No log	4.1818	414	0.6549	0.5198	0.6549	0.8093
No log	4.2020	416	0.5890	0.5640	0.5890	0.7675
No log	4.2222	418	0.5093	0.5807	0.5093	0.7136
No log	4.2424	420	0.4590	0.6166	0.4590	0.6775
No log	4.2626	422	0.4381	0.6547	0.4381	0.6619
No log	4.2828	424	0.4865	0.6325	0.4865	0.6975
No log	4.3030	426	0.7020	0.5403	0.7020	0.8378
No log	4.3232	428	0.8226	0.4940	0.8226	0.9070
No log	4.3434	430	0.7989	0.5047	0.7989	0.8938
No log	4.3636	432	0.6589	0.5190	0.6589	0.8117
No log	4.3838	434	0.5398	0.5569	0.5398	0.7347
No log	4.4040	436	0.4987	0.5374	0.4987	0.7062
No log	4.4242	438	0.5602	0.5124	0.5602	0.7485
No log	4.4444	440	0.6644	0.4928	0.6644	0.8151
No log	4.4646	442	0.6825	0.4928	0.6825	0.8261
No log	4.4848	444	0.5385	0.5496	0.5385	0.7338
No log	4.5051	446	0.4161	0.6074	0.4161	0.6451
No log	4.5253	448	0.4540	0.6028	0.4540	0.6738
No log	4.5455	450	0.4453	0.5870	0.4453	0.6673
No log	4.5657	452	0.4186	0.5888	0.4186	0.6470
No log	4.5859	454	0.5353	0.4886	0.5353	0.7317
No log	4.6061	456	0.6863	0.4699	0.6863	0.8284
No log	4.6263	458	0.7319	0.4628	0.7319	0.8555
No log	4.6465	460	0.6445	0.4558	0.6445	0.8028
No log	4.6667	462	0.4903	0.4908	0.4903	0.7002
No log	4.6869	464	0.4119	0.5848	0.4119	0.6418
No log	4.7071	466	0.4092	0.6340	0.4092	0.6397
No log	4.7273	468	0.4545	0.6240	0.4545	0.6741
No log	4.7475	470	0.5332	0.6392	0.5332	0.7302
No log	4.7677	472	0.6801	0.5491	0.6801	0.8247
No log	4.7879	474	0.7551	0.5393	0.7551	0.8689
No log	4.8081	476	0.6357	0.5539	0.6357	0.7973
No log	4.8283	478	0.4466	0.6553	0.4466	0.6683
No log	4.8485	480	0.4200	0.6928	0.4200	0.6481
No log	4.8687	482	0.4107	0.6719	0.4107	0.6408
No log	4.8889	484	0.4465	0.6082	0.4465	0.6682
No log	4.9091	486	0.6184	0.5220	0.6184	0.7864
No log	4.9293	488	0.7473	0.4747	0.7473	0.8645
No log	4.9495	490	0.7110	0.4797	0.7110	0.8432
No log	4.9697	492	0.7197	0.4793	0.7197	0.8483
No log	4.9899	494	0.7183	0.4885	0.7183	0.8475
No log	5.0101	496	0.5559	0.5454	0.5559	0.7456
No log	5.0303	498	0.4500	0.6346	0.4500	0.6708
0.4984	5.0505	500	0.4457	0.6332	0.4457	0.6676
0.4984	5.0707	502	0.5039	0.6049	0.5039	0.7099
0.4984	5.0909	504	0.6075	0.5791	0.6075	0.7794
0.4984	5.1111	506	0.7540	0.5272	0.7540	0.8684
0.4984	5.1313	508	0.6913	0.5311	0.6913	0.8314
0.4984	5.1515	510	0.5806	0.5631	0.5806	0.7620

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0+cu118
• Datasets 2.21.0
• Tokenizers 0.19.1