learning_rate: 2e-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: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	6	0.6782	0.3163	0.4306	0.3647	0.7385
No log	2.0	12	0.2690	0.2840	0.3194	0.3007	0.9323
No log	3.0	18	0.1381	0.3721	0.4444	0.4051	0.9417
No log	4.0	24	0.0900	0.6216	0.6389	0.6301	0.9688
No log	5.0	30	0.0588	0.9067	0.9444	0.9252	0.9896
No log	6.0	36	0.0412	0.9189	0.9444	0.9315	0.9906
No log	7.0	42	0.0298	0.9324	0.9583	0.9452	0.9917
No log	8.0	48	0.0208	0.9589	0.9722	0.9655	0.9948
No log	9.0	54	0.0223	0.9726	0.9861	0.9793	0.9958
No log	10.0	60	0.0202	0.9861	0.9861	0.9861	0.9969

luohuashijieyoufengjun/ner_based_bert-base-chinese-only-phone1

ner_based_bert-base-chinese-only-phone1