ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k18_task5_organization

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: 1.1536
• Qwk: 0.5310
• Mse: 1.1536
• Rmse: 1.0741

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.0303	2	2.3013	0.0116	2.3013	1.5170
No log	0.0606	4	1.4871	0.1915	1.4871	1.2195
No log	0.0909	6	1.4840	0.1352	1.4840	1.2182
No log	0.1212	8	1.4444	0.2687	1.4444	1.2018
No log	0.1515	10	1.5215	0.2497	1.5215	1.2335
No log	0.1818	12	1.5360	0.2738	1.5360	1.2394
No log	0.2121	14	1.4241	0.2182	1.4241	1.1933
No log	0.2424	16	1.3492	0.1496	1.3492	1.1616
No log	0.2727	18	1.3341	0.1779	1.3341	1.1550
No log	0.3030	20	1.3743	0.2036	1.3743	1.1723
No log	0.3333	22	1.4067	0.3420	1.4067	1.1861
No log	0.3636	24	1.4727	0.3449	1.4727	1.2136
No log	0.3939	26	1.4011	0.1994	1.4011	1.1837
No log	0.4242	28	1.3361	0.1423	1.3361	1.1559
No log	0.4545	30	1.2422	0.1903	1.2422	1.1145
No log	0.4848	32	1.1888	0.2523	1.1888	1.0903
No log	0.5152	34	1.1766	0.2555	1.1766	1.0847
No log	0.5455	36	1.1483	0.2735	1.1483	1.0716
No log	0.5758	38	1.1315	0.3200	1.1315	1.0637
No log	0.6061	40	1.0961	0.3492	1.0961	1.0470
No log	0.6364	42	1.0670	0.3526	1.0670	1.0330
No log	0.6667	44	1.0607	0.4109	1.0607	1.0299
No log	0.6970	46	1.0854	0.4128	1.0854	1.0418
No log	0.7273	48	1.0732	0.3859	1.0732	1.0359
No log	0.7576	50	1.0404	0.4236	1.0404	1.0200
No log	0.7879	52	1.0379	0.4518	1.0379	1.0188
No log	0.8182	54	1.0642	0.4568	1.0642	1.0316
No log	0.8485	56	1.0795	0.3914	1.0795	1.0390
No log	0.8788	58	1.0865	0.3952	1.0865	1.0424
No log	0.9091	60	1.0845	0.3895	1.0845	1.0414
No log	0.9394	62	1.0478	0.4386	1.0478	1.0236
No log	0.9697	64	1.0439	0.4473	1.0439	1.0217
No log	1.0	66	1.0315	0.4414	1.0315	1.0157
No log	1.0303	68	0.9755	0.4446	0.9755	0.9877
No log	1.0606	70	0.9758	0.4541	0.9758	0.9878
No log	1.0909	72	1.0552	0.4882	1.0552	1.0272
No log	1.1212	74	1.0347	0.4918	1.0347	1.0172
No log	1.1515	76	1.0546	0.5005	1.0546	1.0269
No log	1.1818	78	1.2308	0.4333	1.2308	1.1094
No log	1.2121	80	1.6169	0.3709	1.6169	1.2716
No log	1.2424	82	1.6980	0.3623	1.6980	1.3031
No log	1.2727	84	1.4021	0.3792	1.4021	1.1841
No log	1.3030	86	1.1214	0.4593	1.1214	1.0590
No log	1.3333	88	1.0303	0.4392	1.0303	1.0150
No log	1.3636	90	1.0557	0.4305	1.0557	1.0275
No log	1.3939	92	1.2395	0.3623	1.2395	1.1133
No log	1.4242	94	1.5626	0.3733	1.5626	1.2500
No log	1.4545	96	1.8504	0.3262	1.8504	1.3603
No log	1.4848	98	1.7453	0.3317	1.7453	1.3211
No log	1.5152	100	1.4383	0.3820	1.4383	1.1993
No log	1.5455	102	1.1423	0.3960	1.1423	1.0688
No log	1.5758	104	1.0935	0.4095	1.0935	1.0457
No log	1.6061	106	1.1244	0.4116	1.1244	1.0604
No log	1.6364	108	1.1577	0.3899	1.1577	1.0760
No log	1.6667	110	1.1623	0.4064	1.1623	1.0781
No log	1.6970	112	1.3088	0.4664	1.3088	1.1440
No log	1.7273	114	1.4454	0.4362	1.4454	1.2022
No log	1.7576	116	1.6833	0.4182	1.6833	1.2974
No log	1.7879	118	1.6567	0.4277	1.6567	1.2871
No log	1.8182	120	1.5227	0.4105	1.5227	1.2340
No log	1.8485	122	1.1761	0.4709	1.1761	1.0845
No log	1.8788	124	1.0245	0.5329	1.0245	1.0122
No log	1.9091	126	1.0104	0.5548	1.0104	1.0052
No log	1.9394	128	1.0963	0.5307	1.0963	1.0470
No log	1.9697	130	1.1414	0.5264	1.1414	1.0683
No log	2.0	132	1.1518	0.5182	1.1518	1.0732
No log	2.0303	134	1.1096	0.4768	1.1096	1.0534
No log	2.0606	136	1.0717	0.4676	1.0717	1.0352
No log	2.0909	138	1.1107	0.4744	1.1107	1.0539
No log	2.1212	140	1.0371	0.4795	1.0371	1.0184
No log	2.1515	142	0.9606	0.5742	0.9606	0.9801
No log	2.1818	144	0.9875	0.5020	0.9875	0.9937
No log	2.2121	146	1.0898	0.4526	1.0898	1.0439
No log	2.2424	148	1.2336	0.4897	1.2336	1.1107
No log	2.2727	150	1.1576	0.4315	1.1576	1.0759
No log	2.3030	152	1.0674	0.4605	1.0674	1.0331
No log	2.3333	154	1.0830	0.4347	1.0830	1.0407
No log	2.3636	156	1.2081	0.4147	1.2081	1.0991
No log	2.3939	158	1.2228	0.4304	1.2228	1.1058
No log	2.4242	160	1.1511	0.4640	1.1511	1.0729
No log	2.4545	162	1.1230	0.4539	1.1230	1.0597
No log	2.4848	164	1.0910	0.4809	1.0910	1.0445
No log	2.5152	166	1.1668	0.4659	1.1668	1.0802
No log	2.5455	168	1.1648	0.4749	1.1648	1.0793
No log	2.5758	170	1.2476	0.4494	1.2476	1.1170
No log	2.6061	172	1.4518	0.4209	1.4518	1.2049
No log	2.6364	174	1.5367	0.4280	1.5367	1.2396
No log	2.6667	176	1.4903	0.4230	1.4903	1.2208
No log	2.6970	178	1.3072	0.4324	1.3072	1.1433
No log	2.7273	180	1.0923	0.4844	1.0923	1.0451
No log	2.7576	182	1.0138	0.4867	1.0138	1.0069
No log	2.7879	184	1.0575	0.4863	1.0575	1.0283
No log	2.8182	186	1.1738	0.4773	1.1738	1.0834
No log	2.8485	188	1.2790	0.4907	1.2790	1.1309
No log	2.8788	190	1.2547	0.4559	1.2547	1.1201
No log	2.9091	192	1.3284	0.4783	1.3284	1.1526
No log	2.9394	194	1.2286	0.4698	1.2286	1.1084
No log	2.9697	196	1.0982	0.5238	1.0982	1.0480
No log	3.0	198	1.0528	0.5558	1.0528	1.0261
No log	3.0303	200	1.0780	0.5355	1.0780	1.0383
No log	3.0606	202	1.2041	0.5249	1.2041	1.0973
No log	3.0909	204	1.3284	0.4909	1.3284	1.1526
No log	3.1212	206	1.3456	0.4999	1.3456	1.1600
No log	3.1515	208	1.1006	0.5348	1.1006	1.0491
No log	3.1818	210	1.0138	0.5497	1.0138	1.0069
No log	3.2121	212	1.0747	0.5146	1.0747	1.0367
No log	3.2424	214	1.1356	0.4904	1.1356	1.0656
No log	3.2727	216	1.1099	0.4775	1.1099	1.0535
No log	3.3030	218	1.0242	0.5232	1.0242	1.0120
No log	3.3333	220	1.0361	0.5266	1.0361	1.0179
No log	3.3636	222	1.2374	0.5082	1.2374	1.1124
No log	3.3939	224	1.3785	0.4950	1.3785	1.1741
No log	3.4242	226	1.2088	0.5424	1.2088	1.0994
No log	3.4545	228	0.9901	0.5841	0.9901	0.9950
No log	3.4848	230	0.9177	0.6333	0.9177	0.9580
No log	3.5152	232	0.9450	0.5843	0.9450	0.9721
No log	3.5455	234	1.1139	0.5532	1.1139	1.0554
No log	3.5758	236	1.4033	0.5136	1.4033	1.1846
No log	3.6061	238	1.5504	0.4797	1.5504	1.2452
No log	3.6364	240	1.4470	0.4769	1.4470	1.2029
No log	3.6667	242	1.2025	0.5161	1.2025	1.0966
No log	3.6970	244	0.9793	0.5582	0.9793	0.9896
No log	3.7273	246	0.9168	0.5491	0.9168	0.9575
No log	3.7576	248	0.9223	0.5714	0.9223	0.9604
No log	3.7879	250	0.9940	0.5264	0.9940	0.9970
No log	3.8182	252	1.1733	0.5438	1.1733	1.0832
No log	3.8485	254	1.4210	0.5072	1.4210	1.1921
No log	3.8788	256	1.4631	0.5023	1.4631	1.2096
No log	3.9091	258	1.4149	0.5218	1.4149	1.1895
No log	3.9394	260	1.4055	0.5323	1.4055	1.1855
No log	3.9697	262	1.2965	0.5311	1.2965	1.1387
No log	4.0	264	1.0912	0.6062	1.0912	1.0446
No log	4.0303	266	0.9763	0.6290	0.9763	0.9881
No log	4.0606	268	0.9005	0.6210	0.9005	0.9490
No log	4.0909	270	0.9252	0.6374	0.9252	0.9619
No log	4.1212	272	1.0069	0.6107	1.0069	1.0034
No log	4.1515	274	1.1551	0.5837	1.1551	1.0747
No log	4.1818	276	1.3056	0.5717	1.3056	1.1426
No log	4.2121	278	1.4990	0.5194	1.4990	1.2243
No log	4.2424	280	1.5001	0.5260	1.5001	1.2248
No log	4.2727	282	1.4304	0.5075	1.4304	1.1960
No log	4.3030	284	1.3507	0.4828	1.3507	1.1622
No log	4.3333	286	1.3035	0.4878	1.3035	1.1417
No log	4.3636	288	1.1988	0.4883	1.1988	1.0949
No log	4.3939	290	1.1636	0.4681	1.1636	1.0787
No log	4.4242	292	1.2096	0.4653	1.2096	1.0998
No log	4.4545	294	1.1708	0.4858	1.1708	1.0820
No log	4.4848	296	1.0876	0.4894	1.0876	1.0429
No log	4.5152	298	1.0494	0.4969	1.0494	1.0244
No log	4.5455	300	1.1118	0.4921	1.1118	1.0544
No log	4.5758	302	1.1669	0.5019	1.1669	1.0802
No log	4.6061	304	1.2768	0.4634	1.2768	1.1299
No log	4.6364	306	1.2600	0.4638	1.2600	1.1225
No log	4.6667	308	1.1807	0.4756	1.1807	1.0866
No log	4.6970	310	1.1073	0.4867	1.1073	1.0523
No log	4.7273	312	1.1310	0.4997	1.1310	1.0635
No log	4.7576	314	1.1887	0.5006	1.1887	1.0903
No log	4.7879	316	1.1661	0.4977	1.1661	1.0799
No log	4.8182	318	1.0843	0.5298	1.0843	1.0413
No log	4.8485	320	0.9900	0.5704	0.9900	0.9950
No log	4.8788	322	0.9757	0.5754	0.9757	0.9878
No log	4.9091	324	1.0437	0.5536	1.0437	1.0216
No log	4.9394	326	1.1822	0.5360	1.1822	1.0873
No log	4.9697	328	1.2226	0.5415	1.2226	1.1057
No log	5.0	330	1.1890	0.5331	1.1890	1.0904
No log	5.0303	332	1.0715	0.5567	1.0715	1.0351
No log	5.0606	334	1.0083	0.5793	1.0083	1.0041
No log	5.0909	336	1.0629	0.5650	1.0629	1.0309
No log	5.1212	338	1.1940	0.5327	1.1940	1.0927
No log	5.1515	340	1.3401	0.4955	1.3401	1.1576
No log	5.1818	342	1.3746	0.4685	1.3746	1.1724
No log	5.2121	344	1.3633	0.4844	1.3633	1.1676
No log	5.2424	346	1.2738	0.5303	1.2738	1.1286
No log	5.2727	348	1.1628	0.5454	1.1628	1.0783
No log	5.3030	350	1.1049	0.5516	1.1049	1.0512
No log	5.3333	352	1.1489	0.5449	1.1489	1.0718
No log	5.3636	354	1.2971	0.5043	1.2971	1.1389
No log	5.3939	356	1.4086	0.4913	1.4086	1.1868
No log	5.4242	358	1.4795	0.4859	1.4795	1.2163
No log	5.4545	360	1.3892	0.5214	1.3892	1.1787
No log	5.4848	362	1.1983	0.5421	1.1983	1.0947
No log	5.5152	364	1.0741	0.5757	1.0741	1.0364
No log	5.5455	366	1.0711	0.5664	1.0711	1.0349
No log	5.5758	368	1.1252	0.5549	1.1252	1.0608
No log	5.6061	370	1.2648	0.5452	1.2648	1.1246
No log	5.6364	372	1.4472	0.5120	1.4472	1.2030
No log	5.6667	374	1.5110	0.5027	1.5110	1.2292
No log	5.6970	376	1.4169	0.4886	1.4169	1.1904
No log	5.7273	378	1.2878	0.4887	1.2878	1.1348
No log	5.7576	380	1.1130	0.5390	1.1130	1.0550
No log	5.7879	382	1.0445	0.5797	1.0445	1.0220
No log	5.8182	384	1.0074	0.5759	1.0074	1.0037
No log	5.8485	386	1.0578	0.5612	1.0578	1.0285
No log	5.8788	388	1.2183	0.5156	1.2183	1.1038
No log	5.9091	390	1.3637	0.5019	1.3637	1.1678
No log	5.9394	392	1.4337	0.5120	1.4337	1.1974
No log	5.9697	394	1.3631	0.4996	1.3631	1.1675
No log	6.0	396	1.1865	0.5410	1.1865	1.0893
No log	6.0303	398	1.0334	0.6002	1.0334	1.0166
No log	6.0606	400	0.9979	0.5921	0.9979	0.9990
No log	6.0909	402	1.0325	0.5906	1.0325	1.0161
No log	6.1212	404	1.1412	0.5669	1.1412	1.0683
No log	6.1515	406	1.2328	0.5376	1.2328	1.1103
No log	6.1818	408	1.2656	0.5367	1.2656	1.1250
No log	6.2121	410	1.2913	0.5364	1.2913	1.1363
No log	6.2424	412	1.2805	0.5420	1.2805	1.1316
No log	6.2727	414	1.2293	0.5487	1.2293	1.1087
No log	6.3030	416	1.1892	0.5365	1.1892	1.0905
No log	6.3333	418	1.1589	0.5703	1.1589	1.0765
No log	6.3636	420	1.1037	0.5826	1.1037	1.0506
No log	6.3939	422	1.1055	0.5680	1.1055	1.0514
No log	6.4242	424	1.1733	0.5624	1.1733	1.0832
No log	6.4545	426	1.3102	0.5185	1.3102	1.1446
No log	6.4848	428	1.3598	0.5030	1.3598	1.1661
No log	6.5152	430	1.3012	0.5192	1.3012	1.1407
No log	6.5455	432	1.2079	0.5444	1.2079	1.0990
No log	6.5758	434	1.1203	0.5538	1.1203	1.0584
No log	6.6061	436	1.1194	0.5677	1.1194	1.0580
No log	6.6364	438	1.1550	0.5554	1.1550	1.0747
No log	6.6667	440	1.2134	0.5266	1.2134	1.1016
No log	6.6970	442	1.2706	0.5315	1.2706	1.1272
No log	6.7273	444	1.2476	0.5258	1.2476	1.1169
No log	6.7576	446	1.1574	0.5391	1.1574	1.0758
No log	6.7879	448	1.0505	0.5854	1.0505	1.0250
No log	6.8182	450	0.9956	0.5831	0.9956	0.9978
No log	6.8485	452	1.0037	0.5853	1.0037	1.0018
No log	6.8788	454	1.0440	0.5734	1.0440	1.0218
No log	6.9091	456	1.0281	0.5698	1.0281	1.0140
No log	6.9394	458	1.0415	0.5603	1.0415	1.0205
No log	6.9697	460	1.0632	0.5653	1.0632	1.0311
No log	7.0	462	1.1261	0.5472	1.1261	1.0612
No log	7.0303	464	1.1369	0.5472	1.1369	1.0662
No log	7.0606	466	1.1146	0.5472	1.1146	1.0557
No log	7.0909	468	1.0871	0.5608	1.0871	1.0426
No log	7.1212	470	1.1112	0.5552	1.1112	1.0541
No log	7.1515	472	1.1302	0.5504	1.1302	1.0631
No log	7.1818	474	1.1242	0.5430	1.1242	1.0603
No log	7.2121	476	1.1281	0.5421	1.1281	1.0621
No log	7.2424	478	1.1065	0.5449	1.1065	1.0519
No log	7.2727	480	1.0798	0.5507	1.0798	1.0391
No log	7.3030	482	1.0565	0.5471	1.0565	1.0279
No log	7.3333	484	1.0331	0.5661	1.0331	1.0164
No log	7.3636	486	1.0071	0.5853	1.0071	1.0035
No log	7.3939	488	1.0031	0.5969	1.0031	1.0015
No log	7.4242	490	1.0312	0.5803	1.0312	1.0155
No log	7.4545	492	1.0752	0.5527	1.0752	1.0369
No log	7.4848	494	1.1290	0.5552	1.1290	1.0625
No log	7.5152	496	1.1422	0.5656	1.1422	1.0688
No log	7.5455	498	1.1533	0.5656	1.1533	1.0739
0.3146	7.5758	500	1.1308	0.5677	1.1308	1.0634
0.3146	7.6061	502	1.0935	0.5664	1.0935	1.0457
0.3146	7.6364	504	1.0664	0.5664	1.0664	1.0327
0.3146	7.6667	506	1.0612	0.5536	1.0612	1.0302
0.3146	7.6970	508	1.0489	0.5536	1.0489	1.0242
0.3146	7.7273	510	1.0901	0.5489	1.0901	1.0441
0.3146	7.7576	512	1.1668	0.5600	1.1668	1.0802
0.3146	7.7879	514	1.2244	0.5682	1.2244	1.1065
0.3146	7.8182	516	1.2159	0.5604	1.2159	1.1027
0.3146	7.8485	518	1.2001	0.5671	1.2001	1.0955
0.3146	7.8788	520	1.1538	0.5835	1.1538	1.0742
0.3146	7.9091	522	1.1284	0.5768	1.1284	1.0623
0.3146	7.9394	524	1.1082	0.5813	1.1082	1.0527
0.3146	7.9697	526	1.0826	0.5745	1.0826	1.0405
0.3146	8.0	528	1.0634	0.5756	1.0634	1.0312
0.3146	8.0303	530	1.0471	0.5756	1.0471	1.0233
0.3146	8.0606	532	1.0698	0.5791	1.0698	1.0343
0.3146	8.0909	534	1.0753	0.5791	1.0753	1.0370
0.3146	8.1212	536	1.0704	0.5768	1.0704	1.0346
0.3146	8.1515	538	1.0504	0.5768	1.0504	1.0249
0.3146	8.1818	540	1.0377	0.5839	1.0377	1.0187
0.3146	8.2121	542	1.0476	0.5768	1.0476	1.0235
0.3146	8.2424	544	1.0625	0.5675	1.0625	1.0308
0.3146	8.2727	546	1.0767	0.5653	1.0767	1.0376
0.3146	8.3030	548	1.0967	0.5571	1.0967	1.0472
0.3146	8.3333	550	1.1129	0.5571	1.1129	1.0549
0.3146	8.3636	552	1.1110	0.5571	1.1110	1.0540
0.3146	8.3939	554	1.0887	0.5618	1.0887	1.0434
0.3146	8.4242	556	1.0844	0.5664	1.0844	1.0413
0.3146	8.4545	558	1.1009	0.5571	1.1009	1.0492
0.3146	8.4848	560	1.1341	0.5521	1.1341	1.0650
0.3146	8.5152	562	1.1801	0.5376	1.1801	1.0863
0.3146	8.5455	564	1.2207	0.5480	1.2207	1.1048
0.3146	8.5758	566	1.2179	0.5374	1.2179	1.1036
0.3146	8.6061	568	1.1851	0.5374	1.1851	1.0886
0.3146	8.6364	570	1.1442	0.5357	1.1442	1.0697
0.3146	8.6667	572	1.1115	0.5226	1.1115	1.0543
0.3146	8.6970	574	1.0862	0.5497	1.0862	1.0422
0.3146	8.7273	576	1.0938	0.5449	1.0938	1.0459
0.3146	8.7576	578	1.1220	0.5179	1.1220	1.0593
0.3146	8.7879	580	1.1632	0.5272	1.1632	1.0785
0.3146	8.8182	582	1.1866	0.5408	1.1866	1.0893
0.3146	8.8485	584	1.1900	0.5417	1.1900	1.0908
0.3146	8.8788	586	1.1956	0.5256	1.1956	1.0934
0.3146	8.9091	588	1.2246	0.5262	1.2246	1.1066
0.3146	8.9394	590	1.2548	0.5247	1.2548	1.1202
0.3146	8.9697	592	1.2840	0.5260	1.2840	1.1331
0.3146	9.0	594	1.2820	0.5260	1.2820	1.1323
0.3146	9.0303	596	1.2631	0.5359	1.2631	1.1239
0.3146	9.0606	598	1.2362	0.5254	1.2362	1.1118
0.3146	9.0909	600	1.1970	0.5515	1.1970	1.0941
0.3146	9.1212	602	1.1464	0.5394	1.1464	1.0707
0.3146	9.1515	604	1.1087	0.5339	1.1087	1.0529
0.3146	9.1818	606	1.0747	0.5545	1.0747	1.0367
0.3146	9.2121	608	1.0469	0.5592	1.0469	1.0232
0.3146	9.2424	610	1.0441	0.5686	1.0441	1.0218
0.3146	9.2727	612	1.0472	0.5592	1.0472	1.0233
0.3146	9.3030	614	1.0633	0.5545	1.0633	1.0312
0.3146	9.3333	616	1.0897	0.5339	1.0897	1.0439
0.3146	9.3636	618	1.1130	0.5339	1.1130	1.0550
0.3146	9.3939	620	1.1391	0.5284	1.1391	1.0673
0.3146	9.4242	622	1.1683	0.5589	1.1683	1.0809
0.3146	9.4545	624	1.1917	0.5489	1.1917	1.0917
0.3146	9.4848	626	1.2155	0.5343	1.2155	1.1025
0.3146	9.5152	628	1.2300	0.5469	1.2300	1.1091
0.3146	9.5455	630	1.2354	0.5469	1.2354	1.1115
0.3146	9.5758	632	1.2333	0.5469	1.2333	1.1106
0.3146	9.6061	634	1.2212	0.5478	1.2212	1.1051
0.3146	9.6364	636	1.2106	0.5607	1.2106	1.1003
0.3146	9.6667	638	1.1999	0.5515	1.1999	1.0954
0.3146	9.6970	640	1.1889	0.5446	1.1889	1.0904
0.3146	9.7273	642	1.1799	0.5446	1.1799	1.0862
0.3146	9.7576	644	1.1706	0.5446	1.1706	1.0819
0.3146	9.7879	646	1.1617	0.5419	1.1617	1.0778
0.3146	9.8182	648	1.1573	0.5419	1.1573	1.0758
0.3146	9.8485	650	1.1559	0.5419	1.1559	1.0751
0.3146	9.8788	652	1.1551	0.5419	1.1551	1.0747
0.3146	9.9091	654	1.1531	0.5357	1.1531	1.0738
0.3146	9.9394	656	1.1528	0.5357	1.1528	1.0737
0.3146	9.9697	658	1.1535	0.5357	1.1535	1.0740
0.3146	10.0	660	1.1536	0.5310	1.1536	1.0741

Framework versions

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