Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask1_vocabulary

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: 0.6707
• Qwk: 0.5877
• Mse: 0.6707
• Rmse: 0.8190

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	0.0213	2	4.7716	0.0061	4.7716	2.1844
No log	0.0426	4	3.4176	0.0642	3.4176	1.8487
No log	0.0638	6	1.7463	0.0613	1.7463	1.3215
No log	0.0851	8	1.0577	0.1272	1.0577	1.0285
No log	0.1064	10	0.8767	0.0681	0.8767	0.9363
No log	0.1277	12	0.8856	0.0163	0.8856	0.9410
No log	0.1489	14	0.8603	0.1925	0.8603	0.9275
No log	0.1702	16	0.7581	0.2550	0.7581	0.8707
No log	0.1915	18	0.7899	0.2904	0.7899	0.8888
No log	0.2128	20	0.7188	0.2600	0.7188	0.8478
No log	0.2340	22	0.6563	0.3695	0.6563	0.8101
No log	0.2553	24	0.6800	0.4289	0.6800	0.8246
No log	0.2766	26	0.6434	0.4623	0.6434	0.8021
No log	0.2979	28	0.5992	0.4024	0.5992	0.7741
No log	0.3191	30	0.6116	0.3470	0.6116	0.7820
No log	0.3404	32	0.6149	0.3969	0.6149	0.7842
No log	0.3617	34	0.5521	0.4691	0.5521	0.7430
No log	0.3830	36	0.6994	0.4862	0.6994	0.8363
No log	0.4043	38	0.7922	0.5029	0.7922	0.8901
No log	0.4255	40	0.6624	0.5139	0.6624	0.8139
No log	0.4468	42	0.5370	0.5638	0.5370	0.7328
No log	0.4681	44	0.5833	0.5196	0.5833	0.7638
No log	0.4894	46	0.6491	0.4356	0.6491	0.8056
No log	0.5106	48	0.6396	0.4795	0.6396	0.7998
No log	0.5319	50	0.5493	0.5539	0.5493	0.7411
No log	0.5532	52	0.5610	0.6330	0.5610	0.7490
No log	0.5745	54	0.5613	0.5191	0.5613	0.7492
No log	0.5957	56	0.5956	0.4969	0.5956	0.7718
No log	0.6170	58	0.6653	0.4589	0.6653	0.8157
No log	0.6383	60	0.6855	0.4498	0.6855	0.8280
No log	0.6596	62	0.7015	0.4511	0.7015	0.8375
No log	0.6809	64	0.6243	0.4537	0.6243	0.7901
No log	0.7021	66	0.5675	0.5476	0.5675	0.7533
No log	0.7234	68	0.5642	0.5976	0.5642	0.7511
No log	0.7447	70	0.5920	0.6045	0.5920	0.7694
No log	0.7660	72	0.5988	0.5822	0.5988	0.7738
No log	0.7872	74	0.6028	0.5872	0.6028	0.7764
No log	0.8085	76	0.5218	0.5139	0.5218	0.7224
No log	0.8298	78	0.5210	0.5310	0.5210	0.7218
No log	0.8511	80	0.5217	0.4901	0.5217	0.7223
No log	0.8723	82	0.5189	0.4856	0.5189	0.7203
No log	0.8936	84	0.6043	0.4811	0.6043	0.7774
No log	0.9149	86	0.7216	0.4858	0.7216	0.8495
No log	0.9362	88	0.6549	0.5043	0.6549	0.8093
No log	0.9574	90	0.5761	0.5735	0.5761	0.7590
No log	0.9787	92	0.5426	0.5965	0.5426	0.7366
No log	1.0	94	0.5143	0.5733	0.5143	0.7172
No log	1.0213	96	0.5158	0.6104	0.5158	0.7182
No log	1.0426	98	0.5344	0.5831	0.5344	0.7310
No log	1.0638	100	0.5019	0.5828	0.5019	0.7084
No log	1.0851	102	0.4923	0.5992	0.4923	0.7017
No log	1.1064	104	0.5280	0.5581	0.5280	0.7266
No log	1.1277	106	0.6018	0.4617	0.6018	0.7758
No log	1.1489	108	0.6414	0.4221	0.6414	0.8009
No log	1.1702	110	0.6469	0.4570	0.6469	0.8043
No log	1.1915	112	0.5485	0.5323	0.5485	0.7406
No log	1.2128	114	0.5689	0.5935	0.5689	0.7543
No log	1.2340	116	0.5362	0.6423	0.5362	0.7322
No log	1.2553	118	0.5473	0.5671	0.5473	0.7398
No log	1.2766	120	0.7222	0.4384	0.7222	0.8498
No log	1.2979	122	0.7842	0.3728	0.7842	0.8856
No log	1.3191	124	0.6842	0.4401	0.6842	0.8272
No log	1.3404	126	0.5328	0.5969	0.5328	0.7299
No log	1.3617	128	0.5080	0.6219	0.5080	0.7127
No log	1.3830	130	0.5044	0.6137	0.5044	0.7102
No log	1.4043	132	0.6019	0.5261	0.6019	0.7758
No log	1.4255	134	0.6758	0.4582	0.6758	0.8220
No log	1.4468	136	0.6587	0.4847	0.6587	0.8116
No log	1.4681	138	0.5721	0.4918	0.5721	0.7564
No log	1.4894	140	0.5246	0.5352	0.5246	0.7243
No log	1.5106	142	0.5140	0.5633	0.5140	0.7170
No log	1.5319	144	0.4976	0.5624	0.4976	0.7054
No log	1.5532	146	0.4759	0.5524	0.4759	0.6899
No log	1.5745	148	0.4959	0.5723	0.4959	0.7042
No log	1.5957	150	0.5241	0.5809	0.5241	0.7239
No log	1.6170	152	0.6275	0.5153	0.6275	0.7921
No log	1.6383	154	0.6567	0.5019	0.6567	0.8104
No log	1.6596	156	0.5710	0.5822	0.5710	0.7556
No log	1.6809	158	0.5899	0.6435	0.5899	0.7680
No log	1.7021	160	0.7633	0.5911	0.7633	0.8737
No log	1.7234	162	0.7968	0.5549	0.7968	0.8926
No log	1.7447	164	0.6056	0.5889	0.6056	0.7782
No log	1.7660	166	0.4716	0.6147	0.4716	0.6867
No log	1.7872	168	0.5586	0.4651	0.5586	0.7474
No log	1.8085	170	0.6903	0.3404	0.6903	0.8308
No log	1.8298	172	0.7038	0.3352	0.7038	0.8390
No log	1.8511	174	0.6381	0.4701	0.6381	0.7988
No log	1.8723	176	0.5344	0.5368	0.5344	0.7310
No log	1.8936	178	0.4968	0.5533	0.4968	0.7048
No log	1.9149	180	0.4936	0.5845	0.4936	0.7026
No log	1.9362	182	0.5394	0.6101	0.5394	0.7344
No log	1.9574	184	0.5900	0.5861	0.5900	0.7681
No log	1.9787	186	0.5856	0.6134	0.5856	0.7652
No log	2.0	188	0.5335	0.6314	0.5335	0.7304
No log	2.0213	190	0.5366	0.6201	0.5366	0.7325
No log	2.0426	192	0.5183	0.5672	0.5183	0.7200
No log	2.0638	194	0.5136	0.5783	0.5136	0.7166
No log	2.0851	196	0.5012	0.5835	0.5012	0.7080
No log	2.1064	198	0.4903	0.5846	0.4903	0.7002
No log	2.1277	200	0.5010	0.5795	0.5010	0.7078
No log	2.1489	202	0.4787	0.6120	0.4787	0.6919
No log	2.1702	204	0.4758	0.6155	0.4758	0.6898
No log	2.1915	206	0.4784	0.5994	0.4784	0.6917
No log	2.2128	208	0.4765	0.5642	0.4765	0.6903
No log	2.2340	210	0.4780	0.5461	0.4780	0.6914
No log	2.2553	212	0.4949	0.5748	0.4949	0.7035
No log	2.2766	214	0.4878	0.5223	0.4878	0.6984
No log	2.2979	216	0.4922	0.5546	0.4922	0.7016
No log	2.3191	218	0.4980	0.5928	0.4980	0.7057
No log	2.3404	220	0.5921	0.6073	0.5921	0.7695
No log	2.3617	222	0.6866	0.5840	0.6866	0.8286
No log	2.3830	224	0.6672	0.6017	0.6672	0.8168
No log	2.4043	226	0.6191	0.6104	0.6191	0.7869
No log	2.4255	228	0.6296	0.6115	0.6296	0.7935
No log	2.4468	230	0.6724	0.5196	0.6724	0.8200
No log	2.4681	232	0.6914	0.4334	0.6914	0.8315
No log	2.4894	234	0.6487	0.4212	0.6487	0.8054
No log	2.5106	236	0.5641	0.4620	0.5641	0.7511
No log	2.5319	238	0.5180	0.4945	0.5180	0.7197
No log	2.5532	240	0.5095	0.5406	0.5095	0.7138
No log	2.5745	242	0.5203	0.5520	0.5203	0.7213
No log	2.5957	244	0.5425	0.6137	0.5425	0.7366
No log	2.6170	246	0.5984	0.6209	0.5984	0.7736
No log	2.6383	248	0.6131	0.6065	0.6131	0.7830
No log	2.6596	250	0.5761	0.6206	0.5761	0.7590
No log	2.6809	252	0.5368	0.5982	0.5368	0.7327
No log	2.7021	254	0.5099	0.5644	0.5099	0.7141
No log	2.7234	256	0.4996	0.5601	0.4996	0.7069
No log	2.7447	258	0.4970	0.5458	0.4970	0.7050
No log	2.7660	260	0.5030	0.5160	0.5030	0.7093
No log	2.7872	262	0.5239	0.5190	0.5239	0.7238
No log	2.8085	264	0.5471	0.4927	0.5471	0.7396
No log	2.8298	266	0.5690	0.5584	0.5690	0.7543
No log	2.8511	268	0.5465	0.6024	0.5465	0.7393
No log	2.8723	270	0.5055	0.6450	0.5055	0.7110
No log	2.8936	272	0.5277	0.6269	0.5277	0.7264
No log	2.9149	274	0.5175	0.5816	0.5175	0.7193
No log	2.9362	276	0.4844	0.5675	0.4844	0.6960
No log	2.9574	278	0.4751	0.5589	0.4751	0.6893
No log	2.9787	280	0.5711	0.5066	0.5711	0.7557
No log	3.0	282	0.7883	0.4395	0.7883	0.8879
No log	3.0213	284	0.9014	0.3855	0.9014	0.9494
No log	3.0426	286	0.8319	0.4236	0.8319	0.9121
No log	3.0638	288	0.6560	0.5090	0.6560	0.8099
No log	3.0851	290	0.4909	0.6146	0.4909	0.7007
No log	3.1064	292	0.5062	0.6165	0.5062	0.7115
No log	3.1277	294	0.5084	0.5958	0.5084	0.7130
No log	3.1489	296	0.4776	0.6095	0.4776	0.6911
No log	3.1702	298	0.5020	0.6353	0.5020	0.7085
No log	3.1915	300	0.5850	0.6236	0.5850	0.7648
No log	3.2128	302	0.6298	0.6038	0.6298	0.7936
No log	3.2340	304	0.5905	0.6390	0.5905	0.7685
No log	3.2553	306	0.5438	0.6533	0.5438	0.7374
No log	3.2766	308	0.5077	0.6516	0.5077	0.7126
No log	3.2979	310	0.4730	0.6690	0.4730	0.6877
No log	3.3191	312	0.4638	0.5316	0.4638	0.6810
No log	3.3404	314	0.4792	0.5076	0.4792	0.6922
No log	3.3617	316	0.5127	0.5021	0.5127	0.7160
No log	3.3830	318	0.5382	0.5102	0.5382	0.7336
No log	3.4043	320	0.5127	0.5251	0.5127	0.7160
No log	3.4255	322	0.4869	0.6058	0.4869	0.6978
No log	3.4468	324	0.4948	0.6285	0.4948	0.7034
No log	3.4681	326	0.5583	0.5639	0.5583	0.7472
No log	3.4894	328	0.5722	0.5635	0.5722	0.7564
No log	3.5106	330	0.5521	0.5975	0.5521	0.7430
No log	3.5319	332	0.4959	0.6745	0.4959	0.7042
No log	3.5532	334	0.5140	0.6619	0.5140	0.7169
No log	3.5745	336	0.5124	0.6759	0.5124	0.7158
No log	3.5957	338	0.4769	0.6600	0.4769	0.6906
No log	3.6170	340	0.5188	0.5624	0.5188	0.7203
No log	3.6383	342	0.5470	0.5151	0.5470	0.7396
No log	3.6596	344	0.5334	0.5216	0.5334	0.7303
No log	3.6809	346	0.5004	0.5387	0.5004	0.7074
No log	3.7021	348	0.4929	0.5934	0.4929	0.7021
No log	3.7234	350	0.4901	0.6447	0.4901	0.7001
No log	3.7447	352	0.5012	0.6573	0.5012	0.7079
No log	3.7660	354	0.5848	0.6027	0.5848	0.7647
No log	3.7872	356	0.6120	0.6151	0.6120	0.7823
No log	3.8085	358	0.5581	0.6489	0.5581	0.7471
No log	3.8298	360	0.5284	0.6600	0.5284	0.7269
No log	3.8511	362	0.5164	0.6891	0.5164	0.7186
No log	3.8723	364	0.4974	0.6760	0.4974	0.7052
No log	3.8936	366	0.4727	0.6163	0.4727	0.6875
No log	3.9149	368	0.4944	0.6081	0.4944	0.7032
No log	3.9362	370	0.5499	0.5495	0.5499	0.7415
No log	3.9574	372	0.5458	0.5598	0.5458	0.7388
No log	3.9787	374	0.5039	0.5909	0.5039	0.7099
No log	4.0	376	0.4717	0.5975	0.4717	0.6868
No log	4.0213	378	0.4911	0.5870	0.4911	0.7008
No log	4.0426	380	0.4834	0.5792	0.4834	0.6952
No log	4.0638	382	0.4720	0.5888	0.4720	0.6870
No log	4.0851	384	0.4627	0.5849	0.4627	0.6802
No log	4.1064	386	0.4409	0.6145	0.4409	0.6640
No log	4.1277	388	0.4467	0.6675	0.4467	0.6684
No log	4.1489	390	0.4880	0.6400	0.4880	0.6986
No log	4.1702	392	0.5031	0.6345	0.5031	0.7093
No log	4.1915	394	0.4769	0.6426	0.4769	0.6906
No log	4.2128	396	0.4893	0.6438	0.4893	0.6995
No log	4.2340	398	0.4917	0.6533	0.4917	0.7012
No log	4.2553	400	0.5095	0.6478	0.5095	0.7138
No log	4.2766	402	0.5181	0.6523	0.5181	0.7198
No log	4.2979	404	0.5847	0.6375	0.5847	0.7647
No log	4.3191	406	0.5826	0.6294	0.5826	0.7633
No log	4.3404	408	0.7326	0.5656	0.7326	0.8559
No log	4.3617	410	0.8572	0.4548	0.8572	0.9258
No log	4.3830	412	0.8105	0.3587	0.8105	0.9003
No log	4.4043	414	0.6494	0.4740	0.6494	0.8058
No log	4.4255	416	0.5308	0.5718	0.5308	0.7286
No log	4.4468	418	0.4774	0.6283	0.4774	0.6909
No log	4.4681	420	0.4908	0.6771	0.4908	0.7006
No log	4.4894	422	0.5297	0.6697	0.5297	0.7278
No log	4.5106	424	0.6315	0.5864	0.6315	0.7946
No log	4.5319	426	0.6320	0.5785	0.6320	0.7950
No log	4.5532	428	0.5297	0.5976	0.5297	0.7278
No log	4.5745	430	0.5120	0.5948	0.5120	0.7155
No log	4.5957	432	0.5498	0.5354	0.5498	0.7415
No log	4.6170	434	0.5038	0.5865	0.5038	0.7098
No log	4.6383	436	0.5117	0.5699	0.5117	0.7154
No log	4.6596	438	0.5730	0.5601	0.5730	0.7570
No log	4.6809	440	0.7110	0.4959	0.7110	0.8432
No log	4.7021	442	0.7599	0.4958	0.7599	0.8717
No log	4.7234	444	0.6497	0.5691	0.6497	0.8060
No log	4.7447	446	0.5367	0.6670	0.5367	0.7326
No log	4.7660	448	0.5467	0.6287	0.5467	0.7394
No log	4.7872	450	0.5553	0.6487	0.5553	0.7452
No log	4.8085	452	0.5934	0.6336	0.5934	0.7703
No log	4.8298	454	0.5889	0.6263	0.5889	0.7674
No log	4.8511	456	0.5561	0.6435	0.5561	0.7457
No log	4.8723	458	0.5125	0.6396	0.5125	0.7159
No log	4.8936	460	0.5313	0.6556	0.5313	0.7289
No log	4.9149	462	0.5516	0.6569	0.5516	0.7427
No log	4.9362	464	0.6013	0.6371	0.6013	0.7754
No log	4.9574	466	0.6565	0.6248	0.6565	0.8103
No log	4.9787	468	0.6041	0.6537	0.6041	0.7772
No log	5.0	470	0.5576	0.6111	0.5576	0.7467
No log	5.0213	472	0.5991	0.6003	0.5991	0.7740
No log	5.0426	474	0.6147	0.5890	0.6147	0.7840
No log	5.0638	476	0.6603	0.5319	0.6603	0.8126
No log	5.0851	478	0.6793	0.5204	0.6793	0.8242
No log	5.1064	480	0.5865	0.5492	0.5865	0.7658
No log	5.1277	482	0.5210	0.6362	0.5210	0.7218
No log	5.1489	484	0.5105	0.6234	0.5105	0.7145
No log	5.1702	486	0.5060	0.6503	0.5060	0.7113
No log	5.1915	488	0.5086	0.6532	0.5086	0.7132
No log	5.2128	490	0.5248	0.6547	0.5248	0.7244
No log	5.2340	492	0.5601	0.5923	0.5601	0.7484
No log	5.2553	494	0.5468	0.6075	0.5468	0.7395
No log	5.2766	496	0.4782	0.6802	0.4782	0.6915
No log	5.2979	498	0.4698	0.6618	0.4698	0.6854
0.4903	5.3191	500	0.4830	0.6556	0.4830	0.6950
0.4903	5.3404	502	0.5126	0.6835	0.5126	0.7160
0.4903	5.3617	504	0.5572	0.6616	0.5572	0.7465
0.4903	5.3830	506	0.5345	0.6754	0.5345	0.7311
0.4903	5.4043	508	0.5361	0.5817	0.5361	0.7322
0.4903	5.4255	510	0.5786	0.5911	0.5786	0.7607
0.4903	5.4468	512	0.5646	0.5950	0.5646	0.7514
0.4903	5.4681	514	0.5470	0.6167	0.5470	0.7396
0.4903	5.4894	516	0.4856	0.6977	0.4856	0.6969
0.4903	5.5106	518	0.4482	0.6599	0.4482	0.6695
0.4903	5.5319	520	0.4976	0.6097	0.4976	0.7054
0.4903	5.5532	522	0.4847	0.6042	0.4847	0.6962
0.4903	5.5745	524	0.4543	0.6768	0.4543	0.6740
0.4903	5.5957	526	0.5200	0.6747	0.5200	0.7211
0.4903	5.6170	528	0.5514	0.6245	0.5514	0.7425
0.4903	5.6383	530	0.5425	0.6403	0.5425	0.7366
0.4903	5.6596	532	0.5133	0.6512	0.5133	0.7165
0.4903	5.6809	534	0.5499	0.6483	0.5499	0.7416
0.4903	5.7021	536	0.6707	0.5877	0.6707	0.8190

Framework versions

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