learning_rate: 3e-05
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 40.0

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	194	0.2289	0.9347
No log	2.0	388	0.1812	0.9400
0.2405	3.0	582	0.1774	0.9447
0.2405	4.0	776	0.1997	0.9433
0.2405	5.0	970	0.2236	0.9428
0.1112	6.0	1164	0.2448	0.9380
0.1112	7.0	1358	0.2250	0.9442
0.0717	8.0	1552	0.2410	0.9414
0.0717	9.0	1746	0.2488	0.9414
0.0717	10.0	1940	0.2667	0.9447
0.0525	11.0	2134	0.2683	0.9456
0.0525	12.0	2328	0.3145	0.9414
0.0402	13.0	2522	0.2749	0.9467
0.0402	14.0	2716	0.3030	0.9430
0.0402	15.0	2910	0.3059	0.9458
0.0285	16.0	3104	0.3260	0.9425
0.0285	17.0	3298	0.3208	0.9464
0.0285	18.0	3492	0.3752	0.9394
0.0225	19.0	3686	0.3408	0.9450
0.0225	20.0	3880	0.4128	0.9366
0.0166	21.0	4074	0.3799	0.9408
0.0166	22.0	4268	0.3940	0.9389
0.0166	23.0	4462	0.3740	0.9450
0.0153	24.0	4656	0.3810	0.9400
0.0153	25.0	4850	0.4278	0.9403
0.0122	26.0	5044	0.3878	0.9436
0.0122	27.0	5238	0.3903	0.9433
0.0122	28.0	5432	0.3904	0.9442
0.0114	29.0	5626	0.4205	0.9428
0.0114	30.0	5820	0.3969	0.9433
0.0096	31.0	6014	0.3967	0.9439
0.0096	32.0	6208	0.4009	0.9442
0.0096	33.0	6402	0.4054	0.9439
0.0082	34.0	6596	0.4115	0.9422
0.0082	35.0	6790	0.4228	0.9430
0.0082	36.0	6984	0.4165	0.9442
0.0083	37.0	7178	0.4226	0.9436
0.0083	38.0	7372	0.4262	0.9430
0.0071	39.0	7566	0.4231	0.9436
0.0071	40.0	7760	0.4251	0.9439

hts98/classification_phobert-v2

classification_phobert-v2