learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
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: 20

Training Loss	Epoch	Step	Validation Loss	F1	Acc
0.7889	1.0	320	0.6306	0.7256	0.7370
0.5188	2.0	640	0.3389	0.8721	0.8717
0.3071	3.0	960	0.1820	0.9416	0.9414
0.1851	4.0	1280	0.1111	0.9666	0.9666
0.12	5.0	1600	0.0816	0.9731	0.9731
0.0777	6.0	1920	0.0528	0.9830	0.9830
0.0628	7.0	2240	0.0417	0.9906	0.9906
0.0443	8.0	2560	0.0490	0.9883	0.9883
0.038	9.0	2880	0.0562	0.9895	0.9895
0.0277	10.0	3200	0.0350	0.9941	0.9941
0.0179	11.0	3520	0.0214	0.9965	0.9965
0.022	12.0	3840	0.0189	0.9965	0.9965
0.0185	13.0	4160	0.0130	0.9977	0.9977
0.0123	14.0	4480	0.0116	0.9977	0.9977
0.0127	15.0	4800	0.0126	0.9982	0.9982
0.0095	16.0	5120	0.0160	0.9971	0.9971
0.0092	17.0	5440	0.0128	0.9982	0.9982
0.0109	18.0	5760	0.0181	0.9977	0.9977
0.0091	19.0	6080	0.0141	0.9977	0.9977
0.0067	20.0	6400	0.0155	0.9977	0.9977

Es1v/tradingview_signal_distilbert

tradingview_signal_distilbert