SignBart-ASL-100

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.8835
• Accuracy: 0.7960
• Precision: 0.8112
• Recall: 0.7960

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: 0.0002
• train_batch_size: 256
• eval_batch_size: 256
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.5
• num_epochs: 1000

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall
4.6468	1.0	10	4.6285	0.0072	0.0009	0.0072
4.6453	2.0	20	4.6284	0.0072	0.0009	0.0072
4.6469	3.0	30	4.6283	0.0072	0.0009	0.0072
4.656	4.0	40	4.6282	0.0081	0.0009	0.0081
4.645	5.0	50	4.6280	0.0081	0.0009	0.0081
4.65	6.0	60	4.6278	0.0081	0.0009	0.0081
4.6405	7.0	70	4.6275	0.0081	0.0009	0.0081
4.6444	8.0	80	4.6273	0.0072	0.0008	0.0072
4.6538	9.0	90	4.6270	0.0063	0.0007	0.0063
4.6421	10.0	100	4.6266	0.0063	0.0007	0.0063
4.6368	11.0	110	4.6262	0.0063	0.0007	0.0063
4.6389	12.0	120	4.6258	0.0054	0.0006	0.0054
4.6449	13.0	130	4.6254	0.0054	0.0006	0.0054
4.6514	14.0	140	4.6249	0.0054	0.0006	0.0054
4.6402	15.0	150	4.6244	0.0063	0.0097	0.0063
4.6427	16.0	160	4.6239	0.0063	0.0097	0.0063
4.6349	17.0	170	4.6234	0.0072	0.0097	0.0072
4.654	18.0	180	4.6228	0.0072	0.0029	0.0072
4.652	19.0	190	4.6222	0.0081	0.0029	0.0081
4.6394	20.0	200	4.6216	0.0081	0.0022	0.0081
4.6421	21.0	210	4.6210	0.0072	0.0021	0.0072
4.6413	22.0	220	4.6204	0.0072	0.0019	0.0072
4.6354	23.0	230	4.6198	0.0072	0.0019	0.0072
4.656	24.0	240	4.6192	0.0063	0.0019	0.0063
4.6422	25.0	250	4.6185	0.0063	0.0017	0.0063
4.6298	26.0	260	4.6178	0.0081	0.0026	0.0081
4.6423	27.0	270	4.6171	0.0081	0.0026	0.0081
4.6361	28.0	280	4.6164	0.0081	0.0028	0.0081
4.6277	29.0	290	4.6157	0.0081	0.0025	0.0081
4.6405	30.0	300	4.6150	0.0081	0.0025	0.0081
4.6366	31.0	310	4.6144	0.0081	0.0025	0.0081
4.6324	32.0	320	4.6137	0.0081	0.0025	0.0081
4.6369	33.0	330	4.6130	0.0081	0.0025	0.0081
4.6181	34.0	340	4.6124	0.0081	0.0022	0.0081
4.6277	35.0	350	4.6117	0.0081	0.0022	0.0081
4.6295	36.0	360	4.6111	0.0081	0.0022	0.0081
4.6247	37.0	370	4.6104	0.0081	0.0021	0.0081
4.6242	38.0	380	4.6098	0.0081	0.0021	0.0081
4.631	39.0	390	4.6092	0.0081	0.0020	0.0081
4.6267	40.0	400	4.6085	0.0081	0.0022	0.0081
4.6209	41.0	410	4.6079	0.0081	0.0024	0.0081
4.6242	42.0	420	4.6073	0.0072	0.0016	0.0072
4.6228	43.0	430	4.6067	0.0081	0.0021	0.0081
4.6158	44.0	440	4.6061	0.0072	0.0020	0.0072
4.6222	45.0	450	4.6055	0.0072	0.0021	0.0072
4.6249	46.0	460	4.6049	0.0072	0.0021	0.0072
4.6297	47.0	470	4.6043	0.0063	0.0019	0.0063
4.6188	48.0	480	4.6036	0.0090	0.0030	0.0090
4.6178	49.0	490	4.6030	0.0090	0.0028	0.0090
4.6202	50.0	500	4.6023	0.0099	0.0028	0.0099
4.6172	51.0	510	4.6016	0.0090	0.0027	0.0090
4.6215	52.0	520	4.6009	0.0099	0.0027	0.0099
4.6159	53.0	530	4.6000	0.0099	0.0029	0.0099
4.6088	54.0	540	4.5992	0.0099	0.0027	0.0099
4.6151	55.0	550	4.5983	0.0099	0.0026	0.0099
4.6087	56.0	560	4.5973	0.0108	0.0027	0.0108
4.6098	57.0	570	4.5962	0.0108	0.0044	0.0108
4.6158	58.0	580	4.5949	0.0108	0.0037	0.0108
4.6125	59.0	590	4.5935	0.0108	0.0030	0.0108
4.607	60.0	600	4.5920	0.0126	0.0034	0.0126
4.6024	61.0	610	4.5903	0.0126	0.0031	0.0126
4.5983	62.0	620	4.5882	0.0144	0.0034	0.0144
4.6015	63.0	630	4.5860	0.0162	0.0053	0.0162
4.6095	64.0	640	4.5833	0.0162	0.0039	0.0162
4.5965	65.0	650	4.5802	0.0190	0.0045	0.0190
4.5841	66.0	660	4.5764	0.0181	0.0046	0.0181
4.5946	67.0	670	4.5717	0.0199	0.0048	0.0199
4.59	68.0	680	4.5667	0.0181	0.0046	0.0181
4.5793	69.0	690	4.5611	0.0262	0.0051	0.0262
4.5735	70.0	700	4.5543	0.0271	0.0050	0.0271
4.5774	71.0	710	4.5467	0.0289	0.0054	0.0289
4.5691	72.0	720	4.5384	0.0298	0.0053	0.0298
4.5494	73.0	730	4.5290	0.0244	0.0045	0.0244
4.5386	74.0	740	4.5178	0.0226	0.0043	0.0226
4.538	75.0	750	4.5048	0.0271	0.0071	0.0271
4.5289	76.0	760	4.4896	0.0289	0.0084	0.0289
4.5141	77.0	770	4.4715	0.0298	0.0092	0.0298
4.4996	78.0	780	4.4506	0.0334	0.0151	0.0334
4.501	79.0	790	4.4296	0.0298	0.0092	0.0298
4.4829	80.0	800	4.4109	0.0289	0.0104	0.0289
4.4827	81.0	810	4.3936	0.0280	0.0084	0.0280
4.4536	82.0	820	4.3770	0.0307	0.0193	0.0307
4.4675	83.0	830	4.3611	0.0325	0.0206	0.0325
4.4089	84.0	840	4.3453	0.0415	0.0346	0.0415
4.3945	85.0	850	4.3290	0.0397	0.0221	0.0397
4.4146	86.0	860	4.3140	0.0505	0.0232	0.0505
4.3668	87.0	870	4.2945	0.0469	0.0298	0.0469
4.3833	88.0	880	4.2785	0.0587	0.0353	0.0587
4.358	89.0	890	4.2603	0.0542	0.0265	0.0542
4.3412	90.0	900	4.2426	0.0578	0.0396	0.0578
4.3404	91.0	910	4.2251	0.0614	0.0416	0.0614
4.2978	92.0	920	4.2084	0.0695	0.0398	0.0695
4.3052	93.0	930	4.1897	0.0740	0.0492	0.0740
4.2866	94.0	940	4.1735	0.0749	0.0385	0.0749
4.2535	95.0	950	4.1572	0.0758	0.0343	0.0758
4.2331	96.0	960	4.1397	0.0767	0.0342	0.0767
4.1862	97.0	970	4.1234	0.0767	0.0371	0.0767
4.2058	98.0	980	4.1069	0.0758	0.0426	0.0758
4.1817	99.0	990	4.0918	0.0749	0.0334	0.0749
4.2257	100.0	1000	4.0779	0.0776	0.0455	0.0776
4.1975	101.0	1010	4.0648	0.0803	0.0413	0.0803
4.1815	102.0	1020	4.0522	0.0821	0.0318	0.0821
4.1534	103.0	1030	4.0367	0.0839	0.0311	0.0839
4.1966	104.0	1040	4.0244	0.0866	0.0414	0.0866
4.1424	105.0	1050	4.0146	0.0848	0.0449	0.0848
4.0961	106.0	1060	4.0016	0.0839	0.0512	0.0839
4.0821	107.0	1070	3.9865	0.0912	0.0585	0.0912
4.0785	108.0	1080	3.9752	0.0975	0.0437	0.0975
4.0733	109.0	1090	3.9623	0.1002	0.0458	0.1002
4.1087	110.0	1100	3.9467	0.1083	0.0718	0.1083
4.0278	111.0	1110	3.9361	0.1200	0.1107	0.1200
4.0094	112.0	1120	3.9212	0.1173	0.0821	0.1173
4.0206	113.0	1130	3.9102	0.1218	0.0862	0.1218
4.0174	114.0	1140	3.8972	0.1291	0.1162	0.1291
3.9941	115.0	1150	3.8840	0.1264	0.1012	0.1264
3.991	116.0	1160	3.8721	0.1354	0.1165	0.1354
4.0254	117.0	1170	3.8602	0.1363	0.1247	0.1363
4.0393	118.0	1180	3.8502	0.1372	0.1386	0.1372
3.9745	119.0	1190	3.8367	0.1381	0.1088	0.1381
3.967	120.0	1200	3.8276	0.1435	0.1360	0.1435
3.9181	121.0	1210	3.8158	0.1435	0.1202	0.1435
3.9061	122.0	1220	3.8048	0.1498	0.1190	0.1498
3.8693	123.0	1230	3.7884	0.1534	0.1379	0.1534
3.89	124.0	1240	3.7789	0.1516	0.1238	0.1516
3.9127	125.0	1250	3.7675	0.1534	0.1233	0.1534
3.8729	126.0	1260	3.7522	0.1579	0.1213	0.1579
3.8648	127.0	1270	3.7369	0.1588	0.1501	0.1588
3.8342	128.0	1280	3.7283	0.1715	0.1658	0.1715
3.8084	129.0	1290	3.7103	0.1769	0.1762	0.1769
3.7692	130.0	1300	3.6965	0.1787	0.1745	0.1787
3.909	131.0	1310	3.6818	0.1760	0.1753	0.1760
3.9092	132.0	1320	3.6709	0.1859	0.1799	0.1859
3.8076	133.0	1330	3.6574	0.1877	0.2000	0.1877
3.7301	134.0	1340	3.6411	0.1977	0.2015	0.1977
3.7447	135.0	1350	3.6284	0.2022	0.1984	0.2022
3.799	136.0	1360	3.6134	0.2058	0.2174	0.2058
3.8104	137.0	1370	3.6018	0.2112	0.1981	0.2112
3.7602	138.0	1380	3.5914	0.2184	0.2369	0.2184
3.7332	139.0	1390	3.5740	0.2184	0.2322	0.2184
3.6969	140.0	1400	3.5599	0.2166	0.2168	0.2166
3.6568	141.0	1410	3.5432	0.2310	0.2392	0.2310
3.6962	142.0	1420	3.5282	0.25	0.2640	0.25
3.793	143.0	1430	3.5103	0.2437	0.2484	0.2437
3.6609	144.0	1440	3.4972	0.2491	0.2652	0.2491
3.6566	145.0	1450	3.4881	0.2455	0.2474	0.2455
3.6383	146.0	1460	3.4677	0.2662	0.2903	0.2662
3.5767	147.0	1470	3.4536	0.2825	0.3205	0.2825
3.6348	148.0	1480	3.4345	0.2870	0.2981	0.2870
3.544	149.0	1490	3.4207	0.2942	0.3112	0.2942
3.5659	150.0	1500	3.4050	0.3005	0.3166	0.3005
3.4987	151.0	1510	3.3870	0.3114	0.3419	0.3114
3.4926	152.0	1520	3.3704	0.3204	0.3421	0.3204
3.5855	153.0	1530	3.3566	0.3186	0.3439	0.3186
3.5167	154.0	1540	3.3378	0.3249	0.3408	0.3249
3.4696	155.0	1550	3.3253	0.3285	0.3430	0.3285
3.5773	156.0	1560	3.3106	0.3384	0.3421	0.3384
3.4278	157.0	1570	3.2929	0.3321	0.3394	0.3321
3.4095	158.0	1580	3.2782	0.3502	0.3538	0.3502
3.4397	159.0	1590	3.2679	0.3457	0.3628	0.3457
3.4673	160.0	1600	3.2511	0.3520	0.3292	0.3520
3.4476	161.0	1610	3.2328	0.3601	0.3688	0.3601
3.437	162.0	1620	3.2180	0.3610	0.3537	0.3610
3.4093	163.0	1630	3.2026	0.3709	0.4053	0.3709
3.4577	164.0	1640	3.1883	0.3700	0.3897	0.3700
3.3099	165.0	1650	3.1736	0.3718	0.3832	0.3718
3.3388	166.0	1660	3.1631	0.3827	0.4179	0.3827
3.3541	167.0	1670	3.1446	0.3827	0.4012	0.3827
3.382	168.0	1680	3.1291	0.3989	0.4232	0.3989
3.2747	169.0	1690	3.1227	0.4043	0.4301	0.4043
3.4333	170.0	1700	3.1099	0.4224	0.4477	0.4224
3.3016	171.0	1710	3.0858	0.4134	0.4520	0.4134
3.215	172.0	1720	3.0741	0.4143	0.4504	0.4143
3.2936	173.0	1730	3.0564	0.4305	0.4788	0.4305
3.192	174.0	1740	3.0430	0.4377	0.4908	0.4377
3.2965	175.0	1750	3.0217	0.4422	0.4890	0.4422
3.2608	176.0	1760	3.0117	0.4522	0.4843	0.4522
3.2342	177.0	1770	2.9998	0.4495	0.5003	0.4495
3.1355	178.0	1780	2.9824	0.4558	0.4980	0.4558
3.2643	179.0	1790	2.9672	0.4621	0.5047	0.4621
3.1326	180.0	1800	2.9540	0.4666	0.5162	0.4666
3.1373	181.0	1810	2.9381	0.4666	0.5073	0.4666
3.1912	182.0	1820	2.9226	0.4657	0.5038	0.4657
3.0957	183.0	1830	2.9120	0.4774	0.5140	0.4774
3.2128	184.0	1840	2.8917	0.4765	0.5290	0.4765
3.2406	185.0	1850	2.8833	0.4838	0.5286	0.4838
3.0409	186.0	1860	2.8685	0.4847	0.5308	0.4847
3.0671	187.0	1870	2.8537	0.4982	0.5581	0.4982
3.0981	188.0	1880	2.8359	0.5018	0.5336	0.5018
3.0968	189.0	1890	2.8193	0.5135	0.5706	0.5135
3.0228	190.0	1900	2.8038	0.5099	0.5500	0.5099
2.9627	191.0	1910	2.7966	0.5108	0.5546	0.5108
2.9873	192.0	1920	2.7818	0.5144	0.5396	0.5144
3.0845	193.0	1930	2.7622	0.5289	0.5686	0.5289
3.0916	194.0	1940	2.7505	0.5325	0.5773	0.5325
2.8992	195.0	1950	2.7324	0.5334	0.5889	0.5334
2.8919	196.0	1960	2.7179	0.5406	0.5878	0.5406
2.9817	197.0	1970	2.7112	0.5343	0.5809	0.5343
2.855	198.0	1980	2.6864	0.5352	0.5920	0.5352
2.8388	199.0	1990	2.6790	0.5379	0.5949	0.5379
2.8402	200.0	2000	2.6587	0.5460	0.6041	0.5460
2.9817	201.0	2010	2.6489	0.5523	0.5944	0.5523
2.9825	202.0	2020	2.6333	0.5578	0.5915	0.5578
2.8034	203.0	2030	2.6221	0.5460	0.5980	0.5460
2.7729	204.0	2040	2.6040	0.5605	0.6132	0.5605
2.8668	205.0	2050	2.5889	0.5650	0.5978	0.5650
2.7692	206.0	2060	2.5755	0.5641	0.6120	0.5641
2.7259	207.0	2070	2.5617	0.5623	0.6047	0.5623
2.7308	208.0	2080	2.5483	0.5677	0.6150	0.5677
2.7992	209.0	2090	2.5416	0.5713	0.6279	0.5713
2.9132	210.0	2100	2.5311	0.5749	0.6200	0.5749
2.7445	211.0	2110	2.5195	0.5722	0.6158	0.5722
2.6778	212.0	2120	2.4984	0.5785	0.5916	0.5785
2.6307	213.0	2130	2.4827	0.5830	0.6148	0.5830
2.846	214.0	2140	2.4834	0.5758	0.6059	0.5758
2.7206	215.0	2150	2.4618	0.5957	0.6401	0.5957
2.7119	216.0	2160	2.4492	0.5975	0.6398	0.5975
2.795	217.0	2170	2.4389	0.5912	0.6206	0.5912
2.9871	218.0	2180	2.4156	0.6065	0.6591	0.6065
2.7607	219.0	2190	2.4093	0.6056	0.6387	0.6056
2.6345	220.0	2200	2.3989	0.6038	0.6576	0.6038
2.6909	221.0	2210	2.3842	0.6137	0.6456	0.6137
2.7537	222.0	2220	2.3700	0.6182	0.6464	0.6182
2.6008	223.0	2230	2.3615	0.6155	0.6422	0.6155
2.4937	224.0	2240	2.3518	0.6173	0.6393	0.6173
2.5116	225.0	2250	2.3296	0.6137	0.6396	0.6137
2.6128	226.0	2260	2.3168	0.6282	0.6558	0.6282
2.5334	227.0	2270	2.2998	0.6264	0.6439	0.6264
2.7573	228.0	2280	2.2866	0.6372	0.6564	0.6372
2.4452	229.0	2290	2.2771	0.6345	0.6628	0.6345
2.6947	230.0	2300	2.2697	0.6327	0.6593	0.6327
2.4291	231.0	2310	2.2491	0.6345	0.6577	0.6345
2.5337	232.0	2320	2.2446	0.6381	0.6433	0.6381
2.4177	233.0	2330	2.2234	0.6408	0.6558	0.6408
2.5558	234.0	2340	2.2191	0.6471	0.6714	0.6471
2.4394	235.0	2350	2.2081	0.6534	0.6791	0.6534
2.4154	236.0	2360	2.2054	0.6471	0.6681	0.6471
2.3774	237.0	2370	2.1779	0.6643	0.6798	0.6643
2.3426	238.0	2380	2.1709	0.6489	0.6761	0.6489
2.3236	239.0	2390	2.1557	0.6579	0.6676	0.6579
2.2995	240.0	2400	2.1449	0.6597	0.6674	0.6597
2.2818	241.0	2410	2.1271	0.6579	0.6671	0.6579
2.3765	242.0	2420	2.1125	0.6643	0.6792	0.6643
2.4038	243.0	2430	2.1010	0.6679	0.6770	0.6679
2.4796	244.0	2440	2.0854	0.6742	0.6873	0.6742
2.2569	245.0	2450	2.0759	0.6760	0.7034	0.6760
2.2851	246.0	2460	2.0813	0.6751	0.6953	0.6751
2.3342	247.0	2470	2.0555	0.6697	0.6917	0.6697
2.3354	248.0	2480	2.0475	0.6742	0.6929	0.6742
2.1678	249.0	2490	2.0294	0.6715	0.6858	0.6715
2.1957	250.0	2500	2.0184	0.6850	0.7021	0.6850
2.119	251.0	2510	2.0031	0.6922	0.7048	0.6922
2.1851	252.0	2520	1.9861	0.6904	0.7044	0.6904
2.2257	253.0	2530	1.9722	0.6859	0.6990	0.6859
2.123	254.0	2540	1.9605	0.6931	0.7165	0.6931
2.4325	255.0	2550	1.9596	0.6958	0.7162	0.6958
2.1362	256.0	2560	1.9444	0.6931	0.7237	0.6931
2.3492	257.0	2570	1.9362	0.6949	0.7126	0.6949
2.0604	258.0	2580	1.9136	0.7022	0.7279	0.7022
2.1024	259.0	2590	1.9246	0.6977	0.7246	0.6977
2.3549	260.0	2600	1.9055	0.6931	0.7216	0.6931
2.0618	261.0	2610	1.8942	0.6968	0.6999	0.6968
2.0736	262.0	2620	1.8897	0.6968	0.7049	0.6968
2.1983	263.0	2630	1.8704	0.7103	0.7227	0.7103
2.1957	264.0	2640	1.8787	0.7076	0.7311	0.7076
2.0086	265.0	2650	1.8497	0.7067	0.7310	0.7067
2.1341	266.0	2660	1.8425	0.7058	0.7234	0.7058
2.1557	267.0	2670	1.8351	0.7058	0.7336	0.7058
2.0351	268.0	2680	1.8163	0.7139	0.7219	0.7139
2.0577	269.0	2690	1.8077	0.7184	0.7442	0.7184
2.2401	270.0	2700	1.7902	0.7175	0.7347	0.7175
2.0027	271.0	2710	1.7876	0.7202	0.7371	0.7202
2.1012	272.0	2720	1.7793	0.7238	0.7409	0.7238
1.9428	273.0	2730	1.7743	0.7112	0.7360	0.7112
1.9601	274.0	2740	1.7559	0.7256	0.7381	0.7256
1.9504	275.0	2750	1.7601	0.7274	0.7390	0.7274
2.1852	276.0	2760	1.7449	0.7175	0.7438	0.7175
2.1266	277.0	2770	1.7272	0.7265	0.7387	0.7265
1.8728	278.0	2780	1.7222	0.7329	0.7490	0.7329
1.8193	279.0	2790	1.7016	0.7229	0.7384	0.7229
1.8423	280.0	2800	1.6950	0.7365	0.7513	0.7365
2.2335	281.0	2810	1.6807	0.7338	0.7520	0.7338
2.1217	282.0	2820	1.6837	0.7319	0.7373	0.7319
1.9901	283.0	2830	1.6730	0.7301	0.7452	0.7301
1.9524	284.0	2840	1.6582	0.7274	0.7517	0.7274
1.7966	285.0	2850	1.6520	0.7383	0.7565	0.7383
1.8229	286.0	2860	1.6435	0.7329	0.7369	0.7329
2.0777	287.0	2870	1.6288	0.7374	0.7452	0.7374
1.8964	288.0	2880	1.6143	0.7292	0.7487	0.7292
1.8628	289.0	2890	1.6064	0.7347	0.7453	0.7347
1.7922	290.0	2900	1.6049	0.7455	0.7744	0.7455
2.04	291.0	2910	1.5931	0.7392	0.7547	0.7392
1.7566	292.0	2920	1.5803	0.7392	0.7497	0.7392
1.7022	293.0	2930	1.5824	0.7473	0.7607	0.7473
1.6866	294.0	2940	1.5597	0.7446	0.7557	0.7446
1.7367	295.0	2950	1.5517	0.7319	0.7464	0.7319
1.8397	296.0	2960	1.5380	0.75	0.7652	0.75
1.669	297.0	2970	1.5302	0.7509	0.7615	0.7509
1.6794	298.0	2980	1.5320	0.7527	0.7621	0.7527
1.828	299.0	2990	1.5175	0.7419	0.7565	0.7419
1.7834	300.0	3000	1.5074	0.7509	0.7703	0.7509
1.6699	301.0	3010	1.5075	0.7473	0.7650	0.7473
1.7156	302.0	3020	1.4935	0.7509	0.7636	0.7509
1.8111	303.0	3030	1.4947	0.7401	0.7600	0.7401
1.7731	304.0	3040	1.4835	0.7617	0.7734	0.7617
1.5817	305.0	3050	1.4641	0.7509	0.7639	0.7509
1.6343	306.0	3060	1.4492	0.7581	0.7739	0.7581
1.8381	307.0	3070	1.4662	0.7635	0.7792	0.7635
1.7012	308.0	3080	1.4359	0.7545	0.7678	0.7545
1.8763	309.0	3090	1.4444	0.7554	0.7663	0.7554
1.5793	310.0	3100	1.4320	0.7554	0.7678	0.7554
1.5603	311.0	3110	1.4225	0.7518	0.7603	0.7518
1.7741	312.0	3120	1.4131	0.75	0.7691	0.75
1.5766	313.0	3130	1.4080	0.7518	0.7683	0.7518
1.4736	314.0	3140	1.3941	0.7581	0.7673	0.7581
1.6264	315.0	3150	1.3914	0.7644	0.7780	0.7644
1.7483	316.0	3160	1.3797	0.7608	0.7729	0.7608
1.6569	317.0	3170	1.3695	0.7590	0.7718	0.7590
1.5363	318.0	3180	1.3691	0.7662	0.7794	0.7662
1.8136	319.0	3190	1.3578	0.7635	0.7791	0.7635
1.7625	320.0	3200	1.3488	0.7581	0.7703	0.7581
1.6186	321.0	3210	1.3568	0.7527	0.7696	0.7527
1.8112	322.0	3220	1.3454	0.7545	0.7659	0.7545
1.4262	323.0	3230	1.3371	0.7644	0.7781	0.7644
1.4995	324.0	3240	1.3245	0.7635	0.7770	0.7635
1.6076	325.0	3250	1.3208	0.7644	0.7732	0.7644
1.5242	326.0	3260	1.3099	0.7717	0.7854	0.7717
1.5273	327.0	3270	1.3128	0.7599	0.7744	0.7599
1.4855	328.0	3280	1.3036	0.7644	0.7814	0.7644
1.4639	329.0	3290	1.2891	0.7690	0.7834	0.7690
1.8007	330.0	3300	1.2930	0.7717	0.7887	0.7717
1.8972	331.0	3310	1.2880	0.7671	0.7796	0.7671
1.5515	332.0	3320	1.3011	0.7635	0.7796	0.7635
1.6102	333.0	3330	1.2743	0.7681	0.7851	0.7681
1.8677	334.0	3340	1.2649	0.7708	0.7831	0.7708
1.9772	335.0	3350	1.2597	0.7699	0.7815	0.7699
1.5305	336.0	3360	1.2623	0.7662	0.7825	0.7662
1.8061	337.0	3370	1.2525	0.7780	0.7924	0.7780
1.5673	338.0	3380	1.2456	0.7653	0.7786	0.7653
1.3598	339.0	3390	1.2389	0.7744	0.7883	0.7744
1.326	340.0	3400	1.2214	0.7816	0.7934	0.7816
1.3974	341.0	3410	1.2267	0.7717	0.7847	0.7717
1.3891	342.0	3420	1.2119	0.7681	0.7777	0.7681
1.2873	343.0	3430	1.2019	0.7753	0.7904	0.7753
1.4346	344.0	3440	1.1926	0.7762	0.7867	0.7762
1.3439	345.0	3450	1.2067	0.7708	0.7862	0.7708
1.4577	346.0	3460	1.1838	0.7789	0.7880	0.7789
1.3218	347.0	3470	1.2042	0.7744	0.7931	0.7744
1.4273	348.0	3480	1.1722	0.7789	0.7931	0.7789
1.452	349.0	3490	1.1749	0.7653	0.7777	0.7653
1.3034	350.0	3500	1.1842	0.7762	0.7943	0.7762
1.4069	351.0	3510	1.1577	0.7753	0.7893	0.7753
1.2431	352.0	3520	1.1582	0.7825	0.7963	0.7825
1.499	353.0	3530	1.1665	0.7798	0.7933	0.7798
1.214	354.0	3540	1.1510	0.7744	0.7878	0.7744
1.1354	355.0	3550	1.1351	0.7888	0.8001	0.7888
1.2467	356.0	3560	1.1361	0.7753	0.7907	0.7753
1.3973	357.0	3570	1.1457	0.7753	0.7902	0.7753
1.3559	358.0	3580	1.1150	0.7825	0.7946	0.7825
1.3176	359.0	3590	1.1251	0.7825	0.7975	0.7825
1.3633	360.0	3600	1.1263	0.7753	0.7885	0.7753
1.128	361.0	3610	1.1133	0.7789	0.7932	0.7789
1.5197	362.0	3620	1.1116	0.7771	0.7919	0.7771
1.368	363.0	3630	1.1052	0.7825	0.7974	0.7825
1.0976	364.0	3640	1.0831	0.7807	0.7923	0.7807
1.3359	365.0	3650	1.0960	0.7798	0.7978	0.7798
1.3886	366.0	3660	1.0849	0.7762	0.7895	0.7762
1.125	367.0	3670	1.0962	0.7816	0.7900	0.7816
1.4953	368.0	3680	1.0768	0.7789	0.7947	0.7789
1.042	369.0	3690	1.0785	0.7807	0.7942	0.7807
1.3528	370.0	3700	1.0859	0.7771	0.7881	0.7771
1.2932	371.0	3710	1.0760	0.7807	0.7959	0.7807
1.0688	372.0	3720	1.0624	0.7825	0.7900	0.7825
1.3328	373.0	3730	1.0468	0.7897	0.7985	0.7897
1.1698	374.0	3740	1.0593	0.7762	0.7921	0.7762
1.287	375.0	3750	1.0427	0.7807	0.7895	0.7807
1.32	376.0	3760	1.0645	0.7780	0.7962	0.7780
1.1635	377.0	3770	1.0564	0.7843	0.7979	0.7843
1.648	378.0	3780	1.0435	0.7744	0.7845	0.7744
1.5143	379.0	3790	1.0389	0.7888	0.8023	0.7888
1.4117	380.0	3800	1.0239	0.7888	0.8021	0.7888
0.9873	381.0	3810	1.0129	0.7897	0.8035	0.7897
1.4631	382.0	3820	1.0347	0.7852	0.7969	0.7852
1.0484	383.0	3830	1.0195	0.7888	0.7990	0.7888
1.3335	384.0	3840	1.0399	0.7780	0.7951	0.7780
1.0543	385.0	3850	1.0087	0.7852	0.8005	0.7852
1.1046	386.0	3860	1.0092	0.7861	0.8024	0.7861
1.1993	387.0	3870	1.0189	0.7834	0.7972	0.7834
1.1793	388.0	3880	1.0021	0.7852	0.7972	0.7852
1.3611	389.0	3890	0.9916	0.7933	0.8031	0.7933
1.1336	390.0	3900	0.9868	0.7888	0.7996	0.7888
1.0034	391.0	3910	0.9845	0.7852	0.7948	0.7852
1.2326	392.0	3920	0.9759	0.7924	0.8052	0.7924
1.0302	393.0	3930	0.9814	0.7888	0.7985	0.7888
1.5907	394.0	3940	0.9921	0.7834	0.7987	0.7834
0.9445	395.0	3950	0.9907	0.7816	0.7960	0.7816
1.124	396.0	3960	0.9724	0.7924	0.8045	0.7924
1.0577	397.0	3970	0.9724	0.7798	0.7922	0.7798
0.9603	398.0	3980	0.9580	0.7897	0.8021	0.7897
0.9769	399.0	3990	0.9640	0.7843	0.7941	0.7843
1.2528	400.0	4000	0.9670	0.7825	0.7943	0.7825
0.9628	401.0	4010	0.9671	0.7870	0.8007	0.7870
1.2348	402.0	4020	0.9471	0.7987	0.8091	0.7987
0.9567	403.0	4030	0.9555	0.7861	0.8010	0.7861
1.1199	404.0	4040	0.9467	0.7888	0.8035	0.7888
0.939	405.0	4050	0.9365	0.7969	0.8118	0.7969
1.3309	406.0	4060	0.9419	0.7870	0.8007	0.7870
1.0253	407.0	4070	0.9443	0.7906	0.8022	0.7906
0.9437	408.0	4080	0.9336	0.7852	0.8019	0.7852
1.1108	409.0	4090	0.9483	0.7888	0.8061	0.7888
0.7806	410.0	4100	0.9306	0.7888	0.8033	0.7888
1.3151	411.0	4110	0.9370	0.7852	0.7953	0.7852
1.123	412.0	4120	0.9312	0.7915	0.8050	0.7915
0.9798	413.0	4130	0.9223	0.7843	0.8001	0.7843
0.8806	414.0	4140	0.9188	0.7870	0.7988	0.7870
0.8817	415.0	4150	0.9037	0.8042	0.8173	0.8042
1.1249	416.0	4160	0.9076	0.7969	0.8096	0.7969
1.279	417.0	4170	0.9028	0.7978	0.8099	0.7978
1.2903	418.0	4180	0.8964	0.7951	0.8090	0.7951
1.1344	419.0	4190	0.9044	0.7942	0.8100	0.7942
0.846	420.0	4200	0.9019	0.7915	0.8050	0.7915
0.8546	421.0	4210	0.8786	0.8032	0.8178	0.8032
0.9682	422.0	4220	0.8994	0.7960	0.8141	0.7960
0.877	423.0	4230	0.9019	0.7906	0.7996	0.7906
0.8649	424.0	4240	0.8832	0.7951	0.8057	0.7951
0.9264	425.0	4250	0.8952	0.7942	0.8130	0.7942
1.0808	426.0	4260	0.8835	0.7960	0.8112	0.7960

Framework versions

• Transformers 4.45.1
• Pytorch 2.4.0
• Datasets 3.0.1
• Tokenizers 0.20.0