Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	1	0.5342	0.6875
No log	2.0	2	0.5341	0.6875
No log	3.0	3	0.5340	0.6875
No log	4.0	4	0.5339	0.6875
No log	5.0	5	0.5337	0.6875
No log	6.0	6	0.5335	0.6875
No log	7.0	7	0.5332	0.6875
No log	8.0	8	0.5328	0.6875
No log	9.0	9	0.5325	0.6875
0.5587	10.0	10	0.5320	0.6875
0.5587	11.0	11	0.5314	0.6875
0.5587	12.0	12	0.5305	0.6875
0.5587	13.0	13	0.5296	0.6875
0.5587	14.0	14	0.5285	0.6875
0.5587	15.0	15	0.5274	0.6875
0.5587	16.0	16	0.5264	0.6875
0.5587	17.0	17	0.5254	0.6875
0.5587	18.0	18	0.5244	0.6875
0.5587	19.0	19	0.5235	0.6875
0.5357	20.0	20	0.5225	0.6875
0.5357	21.0	21	0.5216	0.6875
0.5357	22.0	22	0.5204	0.6875
0.5357	23.0	23	0.5192	0.6875
0.5357	24.0	24	0.5179	0.6875
0.5357	25.0	25	0.5165	0.6875
0.5357	26.0	26	0.5151	0.7188
0.5357	27.0	27	0.5135	0.7188
0.5357	28.0	28	0.5119	0.7188
0.5357	29.0	29	0.5102	0.7188
0.4826	30.0	30	0.5085	0.7188
0.4826	31.0	31	0.5064	0.7188
0.4826	32.0	32	0.5050	0.7188
0.4826	33.0	33	0.5036	0.7188
0.4826	34.0	34	0.5019	0.7188
0.4826	35.0	35	0.5002	0.7188
0.4826	36.0	36	0.4980	0.7188
0.4826	37.0	37	0.4958	0.7188
0.4826	38.0	38	0.4931	0.7188
0.4826	39.0	39	0.4900	0.7188
0.438	40.0	40	0.4866	0.75
0.438	41.0	41	0.4831	0.75
0.438	42.0	42	0.4802	0.75
0.438	43.0	43	0.4773	0.75
0.438	44.0	44	0.4746	0.75
0.438	45.0	45	0.4713	0.7812
0.438	46.0	46	0.4685	0.7812
0.438	47.0	47	0.4651	0.7812
0.438	48.0	48	0.4620	0.7812
0.438	49.0	49	0.4583	0.7812
0.367	50.0	50	0.4552	0.7812
0.367	51.0	51	0.4533	0.7812
0.367	52.0	52	0.4519	0.7812
0.367	53.0	53	0.4500	0.7812
0.367	54.0	54	0.4482	0.7812
0.367	55.0	55	0.4470	0.7812
0.367	56.0	56	0.4460	0.7812
0.367	57.0	57	0.4452	0.7812
0.367	58.0	58	0.4440	0.7812
0.367	59.0	59	0.4422	0.7812
0.2811	60.0	60	0.4401	0.7812
0.2811	61.0	61	0.4391	0.7812
0.2811	62.0	62	0.4370	0.7812
0.2811	63.0	63	0.4358	0.7812
0.2811	64.0	64	0.4342	0.7812
0.2811	65.0	65	0.4338	0.7812
0.2811	66.0	66	0.4339	0.7812
0.2811	67.0	67	0.4345	0.7812
0.2811	68.0	68	0.4339	0.7812
0.2811	69.0	69	0.4339	0.75
0.22	70.0	70	0.4347	0.7812
0.22	71.0	71	0.4342	0.7812
0.22	72.0	72	0.4338	0.7812
0.22	73.0	73	0.4335	0.7812
0.22	74.0	74	0.4322	0.7812
0.22	75.0	75	0.4296	0.7812
0.22	76.0	76	0.4266	0.8125
0.22	77.0	77	0.4230	0.8438
0.22	78.0	78	0.4199	0.8438
0.22	79.0	79	0.4170	0.8438
0.1839	80.0	80	0.4147	0.8438
0.1839	81.0	81	0.4131	0.8438
0.1839	82.0	82	0.4120	0.8438
0.1839	83.0	83	0.4102	0.8438
0.1839	84.0	84	0.4090	0.8438
0.1839	85.0	85	0.4073	0.8438
0.1839	86.0	86	0.4059	0.8438
0.1839	87.0	87	0.4049	0.8438
0.1839	88.0	88	0.4043	0.8438
0.1839	89.0	89	0.4044	0.8438
0.1385	90.0	90	0.4045	0.8438
0.1385	91.0	91	0.4049	0.8438
0.1385	92.0	92	0.4054	0.8438
0.1385	93.0	93	0.4059	0.8438
0.1385	94.0	94	0.4057	0.8125
0.1385	95.0	95	0.4066	0.8125
0.1385	96.0	96	0.4070	0.8125
0.1385	97.0	97	0.4072	0.8125
0.1385	98.0	98	0.4078	0.8125
0.1385	99.0	99	0.4081	0.8125
0.1178	100.0	100	0.4079	0.8125
0.1178	101.0	101	0.4083	0.8125
0.1178	102.0	102	0.4087	0.8125
0.1178	103.0	103	0.4101	0.8125
0.1178	104.0	104	0.4120	0.8125
0.1178	105.0	105	0.4132	0.8125
0.1178	106.0	106	0.4148	0.8125
0.1178	107.0	107	0.4163	0.8125
0.1178	108.0	108	0.4176	0.8125
0.1178	109.0	109	0.4207	0.8125
0.0987	110.0	110	0.4235	0.8125
0.0987	111.0	111	0.4253	0.8125
0.0987	112.0	112	0.4268	0.8125
0.0987	113.0	113	0.4273	0.8125
0.0987	114.0	114	0.4271	0.8125
0.0987	115.0	115	0.4270	0.8125
0.0987	116.0	116	0.4277	0.8125
0.0987	117.0	117	0.4279	0.8125
0.0987	118.0	118	0.4287	0.8125
0.0987	119.0	119	0.4264	0.8125
0.0788	120.0	120	0.4252	0.8125
0.0788	121.0	121	0.4234	0.8125
0.0788	122.0	122	0.4213	0.8125
0.0788	123.0	123	0.4184	0.8125
0.0788	124.0	124	0.4164	0.8125
0.0788	125.0	125	0.4148	0.8125
0.0788	126.0	126	0.4140	0.8125
0.0788	127.0	127	0.4142	0.8125
0.0788	128.0	128	0.4135	0.8125
0.0788	129.0	129	0.4132	0.8125
0.0612	130.0	130	0.4131	0.8125
0.0612	131.0	131	0.4136	0.8125
0.0612	132.0	132	0.4144	0.8125
0.0612	133.0	133	0.4148	0.8125
0.0612	134.0	134	0.4154	0.8125
0.0612	135.0	135	0.4167	0.8125
0.0612	136.0	136	0.4181	0.8125
0.0612	137.0	137	0.4199	0.8125
0.0612	138.0	138	0.4211	0.8125
0.0612	139.0	139	0.4222	0.8125
0.0466	140.0	140	0.4243	0.8125
0.0466	141.0	141	0.4256	0.8125
0.0466	142.0	142	0.4278	0.8125
0.0466	143.0	143	0.4280	0.8125
0.0466	144.0	144	0.4286	0.8125
0.0466	145.0	145	0.4294	0.8125
0.0466	146.0	146	0.4311	0.8125
0.0466	147.0	147	0.4332	0.8125
0.0466	148.0	148	0.4351	0.7812
0.0466	149.0	149	0.4371	0.7812
0.036	150.0	150	0.4392	0.7812

Framework versions

Transformers 4.32.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.4.0
Tokenizers 0.13.3

simonycl/bert-base-uncased-sst-2-16-42

bert-base-uncased-sst-2-16-42

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

simonycl/
bert-base-uncased-sst-2-16-42