Update train.yaml

example/ner/standard/conf/train.yaml

@@ -1,25 +1,25 @@
-data_dir: "data/"
-bert_model: "bert-base-chinese"
-task_name: "ner"
-output_dir: "checkpoints"
-max_seq_length: 128
-do_train: True
-do_eval: True
-eval_on: "dev"
-do_lower_case: True
-train_batch_size: 32
-eval_batch_size: 8
-learning_rate: 5e-5
-num_train_epochs: 3            # the number of training epochs
-warmup_proportion: 0.1
-weight_decay: 0.01
 adam_epsilon: 1e-8
-max_grad_norm: 1.0
-use_gpu: True                # use gpu or not
-gpu_id: 1
-local_rank: -1
-seed: 42
-gradient_accumulation_steps: 1
+bert_model: "bert-base-chinese"
+data_dir: "data/"
+do_eval: True
+do_lower_case: True
+do_train: True
+eval_batch_size: 8
+eval_on: "dev"
 fp16: False
 fp16_opt_level: "01"
+gpu_id: 1
+gradient_accumulation_steps: 1
+learning_rate: 5e-5
+local_rank: -1
 loss_scale: 0.0
+max_grad_norm: 1.0
+max_seq_length: 128
+num_train_epochs: 3            # the number of training epochs
+output_dir: "checkpoints"
+seed: 42
+task_name: "ner"
+train_batch_size: 32
+use_gpu: True                # use gpu or not
+warmup_proportion: 0.1
+weight_decay: 0.01