ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k14_task3_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: 0.4814
• Qwk: 0.5025
• Mse: 0.4814
• Rmse: 0.6938

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	3.1382	0.0112	3.1382	1.7715
No log	0.0606	4	1.5780	-0.0070	1.5780	1.2562
No log	0.0909	6	1.2299	0.0632	1.2299	1.1090
No log	0.1212	8	0.9239	0.1366	0.9239	0.9612
No log	0.1515	10	0.7834	0.2536	0.7834	0.8851
No log	0.1818	12	0.6204	0.2381	0.6204	0.7876
No log	0.2121	14	0.5509	0.0476	0.5509	0.7423
No log	0.2424	16	0.5562	0.1220	0.5562	0.7458
No log	0.2727	18	0.6189	0.2857	0.6189	0.7867
No log	0.3030	20	0.7733	0.1712	0.7733	0.8794
No log	0.3333	22	0.6999	0.2258	0.6999	0.8366
No log	0.3636	24	0.6770	0.1515	0.6770	0.8228
No log	0.3939	26	0.7013	0.1724	0.7013	0.8374
No log	0.4242	28	0.6979	0.1813	0.6979	0.8354
No log	0.4545	30	0.6976	0.1905	0.6976	0.8352
No log	0.4848	32	0.6777	0.0400	0.6777	0.8232
No log	0.5152	34	0.7572	0.1638	0.7572	0.8701
No log	0.5455	36	1.1708	0.1128	1.1708	1.0820
No log	0.5758	38	1.0084	0.1055	1.0084	1.0042
No log	0.6061	40	0.6356	0.0400	0.6356	0.7972
No log	0.6364	42	0.6945	-0.0149	0.6945	0.8334
No log	0.6667	44	0.7021	-0.0233	0.7021	0.8379
No log	0.6970	46	0.6725	-0.0233	0.6725	0.8200
No log	0.7273	48	0.6493	-0.0496	0.6493	0.8058
No log	0.7576	50	0.7970	0.2464	0.7970	0.8927
No log	0.7879	52	0.9701	0.1276	0.9701	0.9850
No log	0.8182	54	0.8028	0.2593	0.8028	0.8960
No log	0.8485	56	0.6097	0.3016	0.6097	0.7808
No log	0.8788	58	0.5421	0.0222	0.5421	0.7363
No log	0.9091	60	0.5363	-0.0159	0.5363	0.7323
No log	0.9394	62	0.5326	-0.0159	0.5326	0.7298
No log	0.9697	64	0.5852	-0.0159	0.5852	0.7650
No log	1.0	66	0.5296	0.0303	0.5296	0.7278
No log	1.0303	68	0.7021	0.3143	0.7021	0.8379
No log	1.0606	70	0.8758	0.1935	0.8758	0.9358
No log	1.0909	72	0.9215	0.1692	0.9215	0.9599
No log	1.1212	74	0.6808	0.3862	0.6808	0.8251
No log	1.1515	76	0.5257	0.0303	0.5257	0.7251
No log	1.1818	78	0.5098	0.2121	0.5098	0.7140
No log	1.2121	80	0.5421	0.2787	0.5421	0.7363
No log	1.2424	82	0.7930	0.2775	0.7930	0.8905
No log	1.2727	84	0.5207	0.1899	0.5207	0.7216
No log	1.3030	86	0.5320	0.1801	0.5320	0.7294
No log	1.3333	88	0.6236	0.2323	0.6236	0.7897
No log	1.3636	90	0.5376	0.1823	0.5376	0.7332
No log	1.3939	92	0.6368	0.3641	0.6368	0.7980
No log	1.4242	94	0.7193	0.3128	0.7193	0.8481
No log	1.4545	96	0.5654	0.4286	0.5654	0.7520
No log	1.4848	98	0.7011	0.2364	0.7011	0.8373
No log	1.5152	100	0.7083	0.2566	0.7083	0.8416
No log	1.5455	102	0.5415	0.3797	0.5415	0.7359
No log	1.5758	104	0.7983	0.1525	0.7983	0.8935
No log	1.6061	106	0.8245	0.1220	0.8245	0.9080
No log	1.6364	108	0.6966	0.2294	0.6966	0.8346
No log	1.6667	110	0.8613	0.1867	0.8613	0.9280
No log	1.6970	112	0.7296	0.2713	0.7296	0.8542
No log	1.7273	114	0.6548	0.2963	0.6548	0.8092
No log	1.7576	116	0.6338	0.3394	0.6338	0.7961
No log	1.7879	118	0.8241	0.2134	0.8241	0.9078
No log	1.8182	120	1.2853	0.0689	1.2853	1.1337
No log	1.8485	122	1.0308	0.1714	1.0308	1.0153
No log	1.8788	124	0.5484	0.3661	0.5484	0.7406
No log	1.9091	126	0.6972	0.2000	0.6972	0.8350
No log	1.9394	128	0.5362	0.3882	0.5362	0.7323
No log	1.9697	130	0.5953	0.3684	0.5953	0.7716
No log	2.0	132	0.6718	0.1133	0.6718	0.8197
No log	2.0303	134	0.4892	0.4091	0.4892	0.6994
No log	2.0606	136	0.6689	0.1493	0.6689	0.8179
No log	2.0909	138	0.5923	0.2709	0.5923	0.7696
No log	2.1212	140	0.5148	0.5508	0.5148	0.7175
No log	2.1515	142	0.7752	0.1570	0.7752	0.8805
No log	2.1818	144	0.6127	0.3103	0.6127	0.7828
No log	2.2121	146	0.5823	0.3535	0.5823	0.7631
No log	2.2424	148	0.5240	0.5789	0.5240	0.7239
No log	2.2727	150	0.4852	0.4118	0.4852	0.6966
No log	2.3030	152	0.5499	0.4732	0.5499	0.7415
No log	2.3333	154	0.9401	0.1935	0.9401	0.9696
No log	2.3636	156	0.7710	0.3115	0.7710	0.8781
No log	2.3939	158	0.6141	0.3744	0.6141	0.7836
No log	2.4242	160	0.7336	0.3153	0.7336	0.8565
No log	2.4545	162	0.5842	0.4902	0.5842	0.7643
No log	2.4848	164	0.7216	0.2340	0.7216	0.8494
No log	2.5152	166	0.9129	0.1870	0.9129	0.9555
No log	2.5455	168	0.7901	0.2389	0.7901	0.8889
No log	2.5758	170	0.8536	0.2129	0.8536	0.9239
No log	2.6061	172	1.0503	0.2000	1.0503	1.0249
No log	2.6364	174	0.7591	0.2829	0.7591	0.8713
No log	2.6667	176	0.5745	0.5025	0.5745	0.7580
No log	2.6970	178	0.6552	0.2920	0.6552	0.8095
No log	2.7273	180	1.0615	0.2000	1.0615	1.0303
No log	2.7576	182	1.0762	0.2000	1.0762	1.0374
No log	2.7879	184	0.8369	0.2191	0.8369	0.9148
No log	2.8182	186	0.6628	0.2432	0.6628	0.8141
No log	2.8485	188	0.6683	0.2681	0.6683	0.8175
No log	2.8788	190	0.9081	0.25	0.9081	0.9529
No log	2.9091	192	1.3822	0.1213	1.3822	1.1757
No log	2.9394	194	1.1684	0.1409	1.1684	1.0809
No log	2.9697	196	0.5843	0.4654	0.5843	0.7644
No log	3.0	198	0.6381	0.3613	0.6381	0.7988
No log	3.0303	200	0.9504	0.3123	0.9504	0.9749
No log	3.0606	202	0.6996	0.2681	0.6996	0.8364
No log	3.0909	204	0.5340	0.48	0.5340	0.7308
No log	3.1212	206	0.6538	0.3504	0.6538	0.8086
No log	3.1515	208	0.6686	0.3000	0.6686	0.8177
No log	3.1818	210	0.5138	0.4595	0.5138	0.7168
No log	3.2121	212	0.4885	0.4286	0.4885	0.6989
No log	3.2424	214	0.4907	0.4536	0.4907	0.7005
No log	3.2727	216	0.4943	0.4350	0.4943	0.7030
No log	3.3030	218	0.4707	0.4413	0.4707	0.6861
No log	3.3333	220	0.4709	0.3978	0.4709	0.6863
No log	3.3636	222	0.5042	0.4682	0.5042	0.7101
No log	3.3939	224	0.4725	0.4483	0.4725	0.6874
No log	3.4242	226	0.4958	0.4682	0.4958	0.7041
No log	3.4545	228	0.5284	0.4894	0.5284	0.7269
No log	3.4848	230	0.5343	0.5102	0.5343	0.7310
No log	3.5152	232	0.5142	0.4709	0.5142	0.7171
No log	3.5455	234	0.6506	0.2793	0.6506	0.8066
No log	3.5758	236	0.7240	0.2281	0.7240	0.8509
No log	3.6061	238	0.5627	0.4341	0.5627	0.7502
No log	3.6364	240	0.4519	0.4783	0.4519	0.6723
No log	3.6667	242	0.4615	0.5307	0.4615	0.6794
No log	3.6970	244	0.7496	0.2327	0.7496	0.8658
No log	3.7273	246	0.9580	0.2000	0.9580	0.9788
No log	3.7576	248	0.9175	0.2000	0.9175	0.9578
No log	3.7879	250	0.6672	0.2364	0.6672	0.8169
No log	3.8182	252	0.4794	0.4894	0.4794	0.6924
No log	3.8485	254	0.5632	0.5169	0.5632	0.7504
No log	3.8788	256	0.8864	0.2296	0.8864	0.9415
No log	3.9091	258	0.9194	0.2286	0.9194	0.9589
No log	3.9394	260	0.5984	0.3982	0.5984	0.7735
No log	3.9697	262	0.4197	0.4667	0.4197	0.6478
No log	4.0	264	0.4304	0.3488	0.4304	0.6561
No log	4.0303	266	0.4305	0.5556	0.4305	0.6561
No log	4.0606	268	0.6409	0.3422	0.6409	0.8006
No log	4.0909	270	0.8116	0.2314	0.8116	0.9009
No log	4.1212	272	0.6199	0.3722	0.6199	0.7873
No log	4.1515	274	0.4082	0.4802	0.4082	0.6389
No log	4.1818	276	0.4209	0.4350	0.4209	0.6487
No log	4.2121	278	0.4465	0.4764	0.4465	0.6682
No log	4.2424	280	0.9199	0.2291	0.9199	0.9591
No log	4.2727	282	1.1769	0.1475	1.1769	1.0849
No log	4.3030	284	0.8866	0.2308	0.8866	0.9416
No log	4.3333	286	0.5169	0.4872	0.5169	0.7189
No log	4.3636	288	0.4535	0.4764	0.4535	0.6734
No log	4.3939	290	0.5266	0.4583	0.5266	0.7257
No log	4.4242	292	0.6546	0.3242	0.6546	0.8091
No log	4.4545	294	0.7134	0.3251	0.7134	0.8446
No log	4.4848	296	0.5573	0.4010	0.5573	0.7466
No log	4.5152	298	0.4614	0.4526	0.4614	0.6793
No log	4.5455	300	0.4079	0.4973	0.4079	0.6386
No log	4.5758	302	0.4127	0.4709	0.4127	0.6424
No log	4.6061	304	0.4266	0.5183	0.4266	0.6532
No log	4.6364	306	0.5796	0.4703	0.5796	0.7613
No log	4.6667	308	0.9075	0.2291	0.9075	0.9526
No log	4.6970	310	0.8702	0.2302	0.8702	0.9328
No log	4.7273	312	0.6011	0.4123	0.6011	0.7753
No log	4.7576	314	0.4038	0.5556	0.4038	0.6355
No log	4.7879	316	0.4112	0.4152	0.4112	0.6413
No log	4.8182	318	0.4094	0.4424	0.4094	0.6399
No log	4.8485	320	0.4445	0.4682	0.4445	0.6667
No log	4.8788	322	0.4947	0.4583	0.4947	0.7033
No log	4.9091	324	0.4529	0.4468	0.4529	0.6730
No log	4.9394	326	0.4075	0.5862	0.4075	0.6384
No log	4.9697	328	0.4320	0.5183	0.4320	0.6573
No log	5.0	330	0.6690	0.3559	0.6690	0.8179
No log	5.0303	332	0.8113	0.2558	0.8113	0.9007
No log	5.0606	334	0.6343	0.3755	0.6343	0.7965
No log	5.0909	336	0.4546	0.5686	0.4546	0.6742
No log	5.1212	338	0.4412	0.5377	0.4412	0.6642
No log	5.1515	340	0.4703	0.5686	0.4703	0.6858
No log	5.1818	342	0.5525	0.4112	0.5525	0.7433
No log	5.2121	344	0.6428	0.3398	0.6428	0.8017
No log	5.2424	346	0.5530	0.3089	0.5530	0.7436
No log	5.2727	348	0.4289	0.5706	0.4289	0.6549
No log	5.3030	350	0.4395	0.5417	0.4395	0.6629
No log	5.3333	352	0.4344	0.5417	0.4344	0.6591
No log	5.3636	354	0.4343	0.5604	0.4343	0.6590
No log	5.3939	356	0.5163	0.4051	0.5163	0.7186
No log	5.4242	358	0.7384	0.2531	0.7384	0.8593
No log	5.4545	360	0.7532	0.2531	0.7532	0.8679
No log	5.4848	362	0.5658	0.4862	0.5658	0.7522
No log	5.5152	364	0.4901	0.5942	0.4901	0.7001
No log	5.5455	366	0.4896	0.5686	0.4896	0.6997
No log	5.5758	368	0.5707	0.4605	0.5707	0.7554
No log	5.6061	370	0.5533	0.4783	0.5533	0.7438
No log	5.6364	372	0.4698	0.5779	0.4698	0.6854
No log	5.6667	374	0.4250	0.5862	0.4250	0.6520
No log	5.6970	376	0.4397	0.5862	0.4397	0.6631
No log	5.7273	378	0.4257	0.5862	0.4257	0.6524
No log	5.7576	380	0.4468	0.5238	0.4468	0.6685
No log	5.7879	382	0.4770	0.4012	0.4770	0.6907
No log	5.8182	384	0.5106	0.3609	0.5106	0.7145
No log	5.8485	386	0.4832	0.4743	0.4832	0.6951
No log	5.8788	388	0.4632	0.4917	0.4632	0.6806
No log	5.9091	390	0.4985	0.4536	0.4985	0.7060
No log	5.9394	392	0.5436	0.48	0.5436	0.7373
No log	5.9697	394	0.6539	0.3548	0.6539	0.8087
No log	6.0	396	0.8573	0.2481	0.8573	0.9259
No log	6.0303	398	0.9665	0.2171	0.9665	0.9831
No log	6.0606	400	0.7807	0.2829	0.7807	0.8836
No log	6.0909	402	0.5120	0.5556	0.5120	0.7156
No log	6.1212	404	0.4964	0.4286	0.4964	0.7045
No log	6.1515	406	0.5183	0.4234	0.5183	0.7200
No log	6.1818	408	0.4564	0.4348	0.4564	0.6756
No log	6.2121	410	0.5158	0.5074	0.5158	0.7182
No log	6.2424	412	0.6353	0.3333	0.6353	0.7971
No log	6.2727	414	0.7006	0.3195	0.7006	0.8370
No log	6.3030	416	0.6464	0.3665	0.6464	0.8040
No log	6.3333	418	0.4768	0.5423	0.4768	0.6905
No log	6.3636	420	0.4429	0.4043	0.4429	0.6655
No log	6.3939	422	0.5390	0.2709	0.5390	0.7342
No log	6.4242	424	0.5271	0.2709	0.5271	0.7260
No log	6.4545	426	0.4308	0.4162	0.4308	0.6563
No log	6.4848	428	0.4289	0.5556	0.4289	0.6549
No log	6.5152	430	0.5357	0.4059	0.5357	0.7319
No log	6.5455	432	0.6614	0.4035	0.6614	0.8133
No log	6.5758	434	0.6202	0.4067	0.6202	0.7875
No log	6.6061	436	0.4869	0.4951	0.4869	0.6978
No log	6.6364	438	0.4148	0.5027	0.4148	0.6441
No log	6.6667	440	0.4442	0.3978	0.4442	0.6665
No log	6.6970	442	0.4392	0.3978	0.4392	0.6627
No log	6.7273	444	0.4101	0.4973	0.4101	0.6404
No log	6.7576	446	0.4943	0.5261	0.4943	0.7031
No log	6.7879	448	0.7108	0.2846	0.7108	0.8431
No log	6.8182	450	0.7512	0.2829	0.7512	0.8667
No log	6.8485	452	0.5977	0.4019	0.5977	0.7731
No log	6.8788	454	0.4786	0.5556	0.4786	0.6918
No log	6.9091	456	0.4247	0.5754	0.4247	0.6517
No log	6.9394	458	0.4112	0.5269	0.4112	0.6412
No log	6.9697	460	0.4261	0.5556	0.4261	0.6528
No log	7.0	462	0.4177	0.5	0.4177	0.6463
No log	7.0303	464	0.4183	0.5706	0.4183	0.6468
No log	7.0606	466	0.4528	0.5423	0.4528	0.6729
No log	7.0909	468	0.4712	0.5423	0.4712	0.6865
No log	7.1212	470	0.4470	0.4975	0.4470	0.6686
No log	7.1515	472	0.4459	0.4975	0.4459	0.6677
No log	7.1818	474	0.4423	0.5248	0.4423	0.6651
No log	7.2121	476	0.4702	0.5294	0.4702	0.6857
No log	7.2424	478	0.4738	0.5556	0.4738	0.6883
No log	7.2727	480	0.4931	0.5423	0.4931	0.7022
No log	7.3030	482	0.4537	0.5122	0.4537	0.6736
No log	7.3333	484	0.4585	0.5122	0.4585	0.6771
No log	7.3636	486	0.5169	0.4563	0.5169	0.7190
No log	7.3939	488	0.6711	0.4723	0.6711	0.8192
No log	7.4242	490	0.8540	0.25	0.8540	0.9241
No log	7.4545	492	0.8598	0.2490	0.8598	0.9273
No log	7.4848	494	0.7163	0.3504	0.7163	0.8463
No log	7.5152	496	0.5425	0.4229	0.5425	0.7365
No log	7.5455	498	0.4686	0.4694	0.4686	0.6846
0.3938	7.5758	500	0.4526	0.4694	0.4526	0.6727
0.3938	7.6061	502	0.4428	0.5282	0.4428	0.6654
0.3938	7.6364	504	0.4508	0.4694	0.4508	0.6714
0.3938	7.6667	506	0.4618	0.4694	0.4618	0.6795
0.3938	7.6970	508	0.4766	0.4694	0.4766	0.6904
0.3938	7.7273	510	0.4795	0.4819	0.4795	0.6924
0.3938	7.7576	512	0.5047	0.4462	0.5047	0.7105
0.3938	7.7879	514	0.4824	0.4462	0.4824	0.6945
0.3938	7.8182	516	0.4982	0.4462	0.4982	0.7059
0.3938	7.8485	518	0.4874	0.4462	0.4874	0.6981
0.3938	7.8788	520	0.4747	0.4462	0.4747	0.6890
0.3938	7.9091	522	0.4397	0.4819	0.4397	0.6631
0.3938	7.9394	524	0.4212	0.5602	0.4212	0.6490
0.3938	7.9697	526	0.4297	0.4819	0.4297	0.6556
0.3938	8.0	528	0.4324	0.4819	0.4324	0.6576
0.3938	8.0303	530	0.4344	0.4819	0.4344	0.6591
0.3938	8.0606	532	0.4791	0.4462	0.4791	0.6921
0.3938	8.0909	534	0.5301	0.4732	0.5301	0.7281
0.3938	8.1212	536	0.5192	0.4462	0.5192	0.7205
0.3938	8.1515	538	0.4792	0.4462	0.4792	0.6922
0.3938	8.1818	540	0.4454	0.4694	0.4454	0.6674
0.3938	8.2121	542	0.4229	0.5464	0.4229	0.6503
0.3938	8.2424	544	0.4094	0.5604	0.4094	0.6398
0.3938	8.2727	546	0.4075	0.5459	0.4075	0.6384
0.3938	8.3030	548	0.4232	0.5330	0.4232	0.6506
0.3938	8.3333	550	0.4479	0.5686	0.4479	0.6693
0.3938	8.3636	552	0.4980	0.5025	0.4980	0.7057
0.3938	8.3939	554	0.5360	0.3905	0.5360	0.7322
0.3938	8.4242	556	0.5764	0.4286	0.5764	0.7592
0.3938	8.4545	558	0.5479	0.3860	0.5479	0.7402
0.3938	8.4848	560	0.5256	0.4563	0.5256	0.7250
0.3938	8.5152	562	0.5077	0.5025	0.5077	0.7125
0.3938	8.5455	564	0.4790	0.5025	0.4790	0.6921
0.3938	8.5758	566	0.4714	0.5025	0.4714	0.6866
0.3938	8.6061	568	0.4601	0.4694	0.4601	0.6783
0.3938	8.6364	570	0.4566	0.4694	0.4566	0.6757
0.3938	8.6667	572	0.4757	0.5025	0.4757	0.6897
0.3938	8.6970	574	0.4826	0.5025	0.4826	0.6947
0.3938	8.7273	576	0.4743	0.5025	0.4743	0.6887
0.3938	8.7576	578	0.4585	0.4694	0.4585	0.6771
0.3938	8.7879	580	0.4531	0.4694	0.4531	0.6731
0.3938	8.8182	582	0.4391	0.4639	0.4391	0.6627
0.3938	8.8485	584	0.4351	0.4709	0.4351	0.6596
0.3938	8.8788	586	0.4431	0.4694	0.4431	0.6656
0.3938	8.9091	588	0.4637	0.5025	0.4637	0.6809
0.3938	8.9394	590	0.4903	0.4747	0.4903	0.7002
0.3938	8.9697	592	0.4865	0.4747	0.4865	0.6975
0.3938	9.0	594	0.4660	0.5025	0.4660	0.6826
0.3938	9.0303	596	0.4392	0.5556	0.4392	0.6627
0.3938	9.0606	598	0.4188	0.5604	0.4188	0.6472
0.3938	9.0909	600	0.4138	0.5604	0.4138	0.6433
0.3938	9.1212	602	0.4161	0.5604	0.4161	0.6451
0.3938	9.1515	604	0.4246	0.5508	0.4246	0.6516
0.3938	9.1818	606	0.4427	0.4902	0.4427	0.6654
0.3938	9.2121	608	0.4738	0.5025	0.4738	0.6884
0.3938	9.2424	610	0.5120	0.4872	0.5120	0.7156
0.3938	9.2727	612	0.5221	0.4732	0.5221	0.7226
0.3938	9.3030	614	0.5089	0.4872	0.5089	0.7134
0.3938	9.3333	616	0.4932	0.5025	0.4932	0.7023
0.3938	9.3636	618	0.4814	0.5025	0.4814	0.6938
0.3938	9.3939	620	0.4641	0.5025	0.4641	0.6813
0.3938	9.4242	622	0.4442	0.4902	0.4442	0.6665
0.3938	9.4545	624	0.4341	0.5248	0.4341	0.6589
0.3938	9.4848	626	0.4296	0.5330	0.4296	0.6555
0.3938	9.5152	628	0.4300	0.5330	0.4300	0.6557
0.3938	9.5455	630	0.4323	0.5248	0.4323	0.6575
0.3938	9.5758	632	0.4331	0.5248	0.4331	0.6581
0.3938	9.6061	634	0.4394	0.5556	0.4394	0.6628
0.3938	9.6364	636	0.4509	0.4902	0.4509	0.6715
0.3938	9.6667	638	0.4673	0.5025	0.4673	0.6836
0.3938	9.6970	640	0.4836	0.5025	0.4836	0.6954
0.3938	9.7273	642	0.4975	0.5152	0.4975	0.7053
0.3938	9.7576	644	0.5090	0.52	0.5090	0.7135
0.3938	9.7879	646	0.5133	0.4732	0.5133	0.7165
0.3938	9.8182	648	0.5098	0.4732	0.5098	0.7140
0.3938	9.8485	650	0.5020	0.52	0.5020	0.7085
0.3938	9.8788	652	0.4967	0.5468	0.4967	0.7048
0.3938	9.9091	654	0.4914	0.5152	0.4914	0.7010
0.3938	9.9394	656	0.4864	0.5025	0.4864	0.6974
0.3938	9.9697	658	0.4828	0.5025	0.4828	0.6948
0.3938	10.0	660	0.4814	0.5025	0.4814	0.6938

Framework versions

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