learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
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: 10

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	481	1.1039	0.3514	0.4825	0.3514	0.2788
1.1735	2.0	962	1.1774	0.2714	0.0736	0.2714	0.1159
1.1086	3.0	1443	1.0953	0.3036	0.3341	0.3036	0.1428
1.1147	4.0	1924	1.1062	0.3065	0.4939	0.3065	0.1526
1.1117	5.0	2405	1.0518	0.4378	0.4160	0.4378	0.4166
1.081	6.0	2886	1.0796	0.4128	0.4536	0.4128	0.4078
1.0332	7.0	3367	1.0892	0.4187	0.4310	0.4187	0.4220
0.9779	8.0	3848	1.1388	0.4115	0.4498	0.4115	0.4082
0.9423	9.0	4329	1.1600	0.4234	0.4434	0.4234	0.4273
0.8879	10.0	4810	1.1571	0.4331	0.4481	0.4331	0.4362

jab11769/CPALL-Stock-Trend-Prediction-category-sentiment-filter-2ndphase-Wangchanberta-APR

CPALL-Stock-Trend-Prediction-category-sentiment-filter-2ndphase-Wangchanberta-APR