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PaddleNLP的sentiment_classification官方例程报错 #4488

Open CVsaber opened 4 years ago

CVsaber commented 4 years ago

按照例程运行，报错。 aistudio@jupyter-256968-332689:~/models/PaddleNLP/sentiment_classification$ sh run_ernie.sh train ['/home/aistudio/models/PaddleNLP/sentiment_classification', '/opt/conda/envs/python35-paddle120-env/lib/python37.zip', '/opt/conda/envs/python35-paddle120-env/lib/python3.7', '/opt/conda/envs/python35-paddle120-env/lib/python3.7/lib-dynload', '/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages', '../shared_modules/models/classification/', '../shared_modules/'] ----------- Configuration Arguments ----------- batch_size: 4 checkpoints: ./save_models data_dir: None dev_set: ./senta_data/dev.tsv do_infer: False do_lower_case: True do_save_inference_model: True do_train: True do_val: True enable_ce: False epoch: 2 ernie_config_path: ./senta_model/ernie_pretrain_model/ernie_config.json inference_model_dir: None init_checkpoint: ./senta_model/ernie_pretrain_model/params label_map_config: None lr: 5e-05 max_seq_len: 256 model_type: ernie_bilstm num_labels: 2 random_seed: 1 save_steps: 5000 senta_config_path: None skip_steps: 10 task_name: None test_set: ./senta_data/test.tsv train_set: ./senta_data/train.tsv use_cuda: True use_paddle_hub: False validation_steps: 5000 verbose: True vocab_path: ./senta_model/ernie_pretrain_model/vocab.txt

attention_probs_dropout_prob: 0.1 hidden_act: relu hidden_dropout_prob: 0.1 hidden_size: 768 initializer_range: 0.02 max_position_embeddings: 513 num_attention_heads: 12 num_hidden_layers: 12 type_vocab_size: 2 vocab_size: 18000

Device count: 1 Num train examples: 9600 Max train steps: 4800 Theoretical memory usage in training: 5728.860 - 6001.662 MB W0327 11:31:43.733820 27852 device_context.cc:237] Please NOTE: device: 0, CUDA Capability: 70, Driver API Version: 10.1, Runtime API Version: 10.0 W0327 11:31:43.737951 27852 device_context.cc:245] device: 0, cuDNN Version: 7.3. W0327 11:31:43.738011 27852 device_context.cc:271] WARNING: device: 0. The installed Paddle is compiled with CUDNN 7.6, but CUDNN version in your machine is 7.3, which may cause serious incompatible bug. Please recompile or reinstall Paddle with compatible CUDNN version. 2020-03-27 11:31:45,428-WARNING: ./senta_model/ernie_pretrain_model/params/checkpoint.pdparams not found, try to load model file saved with [ save_params, save_persistables, save_vars ] 2020-03-27 11:31:45,428-WARNING: ./senta_model/ernie_pretrain_model/params/checkpoint.pdparams not found, try to load model file saved with [ save_params, save_persistables, save_vars ] 2020-03-27 11:31:45,432-WARNING: ./senta_model/ernie_pretrain_model/params.pdparams not found, try to load model file saved with [ save_params, save_persistables, save_vars ] 2020-03-27 11:31:45,432-WARNING: ./senta_model/ernie_pretrain_model/params.pdparams not found, try to load model file saved with [ save_params, save_persistables, save_vars ] 2020-03-27 11:31:45,443-WARNING: variable file [ ./senta_model/ernie_pretrain_model/params/mask_lm_out_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_post_ffn_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_ffn_fc_0.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_multi_head_att_key_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@sent_embedding ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_10_post_ffn_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@pos_embedding ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_10_multi_head_att_key_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_2_multi_head_att_output_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_ffn_fc_0.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@pre_encoder_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_multi_head_att_query_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_post_ffn_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_post_ffn_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_post_ffn_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_ffn_fc_1.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_2_multi_head_att_output_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_ffn_fc_0.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_ffn_fc_0.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_0_multi_head_att_output_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_multi_head_att_output_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_multi_head_att_value_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_ffn_fc_0.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_multi_head_att_output_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_0_ffn_fc_0.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@pooled_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_ffn_fc_1.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_post_ffn_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_post_ffn_layer_norm_bias ./senta_model/ernie_pretrain_model/params/reduce_mean_0.tmp_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_5_multi_head_att_value_fc.b_0 ./senta_model/ernie_pretrain_model/params/mask_lm_trans_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_ffn_fc_0.b_0 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./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_multi_head_att_key_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_10_ffn_fc_1.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_ffn_fc_0.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_5_multi_head_att_output_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_multi_head_att_key_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_multi_head_att_output_fc.b_0 ./senta_model/ernie_pretrain_model/params/tmp_51 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_2_post_att_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_ffn_fc_1.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_multi_head_att_query_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@pre_encoder_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_multi_head_att_query_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_multi_head_att_output_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_multi_head_att_value_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_multi_head_att_query_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_5_post_ffn_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@word_embedding ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_post_ffn_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_multi_head_att_key_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_multi_head_att_key_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_post_att_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_2_ffn_fc_0.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_post_ffn_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_10_multi_head_att_output_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_0_ffn_fc_0.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_5_ffn_fc_1.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_0_multi_head_att_value_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_10_multi_head_att_query_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_multi_head_att_output_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_5_post_ffn_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_multi_head_att_output_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_5_post_att_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_post_att_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_post_ffn_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_multi_head_att_key_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_ffn_fc_1.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_multi_head_att_query_fc.w_0 ./senta_model/ernie_pretrain_model/params/next_sent_3cls_fc.w_0 ./senta_model/ernie_pretrain_model/params/next_sent_3cls_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_5_ffn_fc_1.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_multi_head_att_output_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_multi_head_att_output_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_post_att_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_multi_head_att_query_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_multi_head_att_key_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_post_att_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_0_post_att_layer_norm_bias ./senta_model/ernie_pretrain_model/params/mask_lm_trans_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_multi_head_att_key_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_multi_head_att_query_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_2_multi_head_att_query_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_2_multi_head_att_key_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_ffn_fc_1.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_multi_head_att_query_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_10_ffn_fc_0.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@pooled_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_ffn_fc_0.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_post_ffn_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_10_ffn_fc_1.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_post_att_layer_norm_scale 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./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_post_ffn_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_post_att_layer_norm_scale ./senta_model/ernie_pretrain_model/params/mask_lm_trans_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_post_att_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_multi_head_att_value_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_multi_head_att_query_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_0_ffn_fc_1.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_2_post_att_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_post_att_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_multi_head_att_value_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_multi_head_att_value_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_5_multi_head_att_output_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_multi_head_att_value_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_multi_head_att_key_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_ffn_fc_0.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_multi_head_att_key_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_post_att_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@LR_DECAY_COUNTER@ ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_5_ffn_fc_0.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_0_post_ffn_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_multi_head_att_key_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_multi_head_att_output_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_10_multi_head_att_value_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_post_att_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_5_post_att_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_ffn_fc_1.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_multi_head_att_value_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_multi_head_att_key_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_multi_head_att_key_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_multi_head_att_value_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_post_ffn_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_ffn_fc_1.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_post_ffn_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_0_ffn_fc_1.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_0_multi_head_att_key_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_10_post_att_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_multi_head_att_key_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_ffn_fc_1.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_2_ffn_fc_1.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_post_att_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_0_multi_head_att_query_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_multi_head_att_value_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_ffn_fc_1.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_multi_head_att_query_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_ffn_fc_0.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_ffn_fc_0.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_ffn_fc_1.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_multi_head_att_query_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_multi_head_att_output_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_ffn_fc_0.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_multi_head_att_output_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_ffn_fc_0.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_post_ffn_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_post_ffn_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_10_post_att_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_multi_head_att_query_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_multi_head_att_output_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_multi_head_att_query_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_ffn_fc_0.b_0 ] not used 2020-03-27 11:31:45,443-WARNING: variable file [ ./senta_model/ernie_pretrain_model/params/mask_lm_out_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_post_ffn_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_ffn_fc_0.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_multi_head_att_key_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@sent_embedding ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_10_post_ffn_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@pos_embedding ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_10_multi_head_att_key_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_2_multi_head_att_output_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_ffn_fc_0.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@pre_encoder_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_multi_head_att_query_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_post_ffn_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_post_ffn_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_post_ffn_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_ffn_fc_1.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_2_multi_head_att_output_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_ffn_fc_0.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_ffn_fc_0.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_0_multi_head_att_output_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_multi_head_att_output_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_multi_head_att_value_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_ffn_fc_0.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_multi_head_att_output_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_0_ffn_fc_0.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@pooled_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_ffn_fc_1.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_post_ffn_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_post_ffn_layer_norm_bias ./senta_model/ernie_pretrain_model/params/reduce_mean_0.tmp_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_5_multi_head_att_value_fc.b_0 ./senta_model/ernie_pretrain_model/params/mask_lm_trans_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_ffn_fc_0.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_multi_head_att_key_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_post_att_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_post_att_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_multi_head_att_query_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_10_multi_head_att_query_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_2_multi_head_att_value_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_ffn_fc_0.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_10_multi_head_att_key_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_ffn_fc_1.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_ffn_fc_1.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_multi_head_att_key_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_10_ffn_fc_1.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_ffn_fc_0.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_5_multi_head_att_output_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_multi_head_att_key_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_multi_head_att_output_fc.b_0 ./senta_model/ernie_pretrain_model/params/tmp_51 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_2_post_att_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_ffn_fc_1.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_multi_head_att_query_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@pre_encoder_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_multi_head_att_query_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_multi_head_att_output_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_multi_head_att_value_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_multi_head_att_query_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_5_post_ffn_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@word_embedding ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_post_ffn_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_multi_head_att_key_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_multi_head_att_key_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_post_att_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_2_ffn_fc_0.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_post_ffn_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_10_multi_head_att_output_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_0_ffn_fc_0.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_5_ffn_fc_1.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_0_multi_head_att_value_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_10_multi_head_att_query_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_multi_head_att_output_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_5_post_ffn_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_multi_head_att_output_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_5_post_att_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_post_att_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_post_ffn_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_multi_head_att_key_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_ffn_fc_1.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_multi_head_att_query_fc.w_0 ./senta_model/ernie_pretrain_model/params/next_sent_3cls_fc.w_0 ./senta_model/ernie_pretrain_model/params/next_sent_3cls_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_5_ffn_fc_1.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_multi_head_att_output_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_multi_head_att_output_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_post_att_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_multi_head_att_query_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_multi_head_att_key_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_post_att_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_0_post_att_layer_norm_bias ./senta_model/ernie_pretrain_model/params/mask_lm_trans_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_multi_head_att_key_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_multi_head_att_query_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_2_multi_head_att_query_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_2_multi_head_att_key_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_ffn_fc_1.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_multi_head_att_query_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_10_ffn_fc_0.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@pooled_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_ffn_fc_0.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_post_ffn_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_10_ffn_fc_1.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_post_att_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_2_post_ffn_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_multi_head_att_value_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_10_post_ffn_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_0_multi_head_att_output_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_2_ffn_fc_1.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_multi_head_att_output_fc.w_0 ./senta_model/ernie_pretrain_model/params/model ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_multi_head_att_key_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_5_multi_head_att_key_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_multi_head_att_value_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_multi_head_att_query_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_10_ffn_fc_0.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_5_multi_head_att_value_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_0_multi_head_att_key_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_2_ffn_fc_0.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_multi_head_att_value_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_ffn_fc_1.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_multi_head_att_output_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_multi_head_att_output_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_0_post_att_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_10_multi_head_att_value_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_post_att_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_post_ffn_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_0_post_ffn_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_5_multi_head_att_query_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_0_multi_head_att_value_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_ffn_fc_1.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_multi_head_att_value_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_10_multi_head_att_output_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_post_att_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_multi_head_att_value_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_2_multi_head_att_key_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_5_ffn_fc_0.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_ffn_fc_1.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_2_multi_head_att_value_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_5_multi_head_att_query_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_multi_head_att_value_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_5_multi_head_att_key_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_multi_head_att_query_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_post_att_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_ffn_fc_1.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_2_multi_head_att_query_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_multi_head_att_value_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_0_multi_head_att_query_fc.b_0 ./senta_model/ernie_pretrain_model/params/mask_lm_trans_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_2_post_ffn_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_multi_head_att_output_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_ffn_fc_0.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_post_ffn_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_post_att_layer_norm_scale ./senta_model/ernie_pretrain_model/params/mask_lm_trans_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_post_att_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_multi_head_att_value_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_multi_head_att_query_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_0_ffn_fc_1.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_2_post_att_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_post_att_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_multi_head_att_value_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_multi_head_att_value_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_5_multi_head_att_output_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_multi_head_att_value_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_multi_head_att_key_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_ffn_fc_0.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_multi_head_att_key_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_post_att_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@LR_DECAY_COUNTER@ ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_5_ffn_fc_0.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_0_post_ffn_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_multi_head_att_key_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_multi_head_att_output_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_10_multi_head_att_value_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_post_att_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_5_post_att_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_ffn_fc_1.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_multi_head_att_value_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_multi_head_att_key_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_multi_head_att_key_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_9_multi_head_att_value_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_post_ffn_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_ffn_fc_1.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_post_ffn_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_0_ffn_fc_1.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_0_multi_head_att_key_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_10_post_att_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_multi_head_att_key_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_ffn_fc_1.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_2_ffn_fc_1.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_post_att_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_0_multi_head_att_query_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_multi_head_att_value_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_ffn_fc_1.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_6_multi_head_att_query_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_ffn_fc_0.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_ffn_fc_0.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_ffn_fc_1.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_multi_head_att_query_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_8_multi_head_att_output_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_11_ffn_fc_0.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_multi_head_att_output_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_ffn_fc_0.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_post_ffn_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_3_post_ffn_layer_norm_bias ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_10_post_att_layer_norm_scale ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_multi_head_att_query_fc.w_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_4_multi_head_att_output_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_1_multi_head_att_query_fc.b_0 ./senta_model/ernie_pretrain_model/params/@HUB_ernie-stable@encoder_layer_7_ffn_fc_0.b_0 ] not used Load model from ./senta_model/ernie_pretrain_model/params /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/executor.py:782: UserWarning: The following exception is not an EOF exception. "The following exception is not an EOF exception.") Traceback (most recent call last): File "run_ernie_classifier.py", line 379, in main(args) File "run_ernie_classifier.py", line 318, in main return_numpy=False) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/executor.py", line 783, in run six.reraise(*sys.exc_info()) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/six.py", line 693, in reraise raise value File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/executor.py", line 778, in run use_program_cache=use_program_cache) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/executor.py", line 831, in _run_impl use_program_cache=use_program_cache) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/executor.py", line 905, in _run_program fetch_var_name) paddle.fluid.core_avx.EnforceNotMet:

C++ Call Stacks (More useful to developers):

0 std::string paddle::platform::GetTraceBackString<std::string const&>(std::string const&, char const, int) 1 paddle::platform::EnforceNotMet::EnforceNotMet(std::string const&, char const, int) 2 paddle::operators::ReadOp::RunImpl(paddle::framework::Scope const&, paddle::platform::Place const&) const 3 paddle::framework::OperatorBase::Run(paddle::framework::Scope const&, paddle::platform::Place const&) 4 paddle::framework::Executor::RunPreparedContext(paddle::framework::ExecutorPrepareContext, paddle::framework::Scope, bool, bool, bool) 5 paddle::framework::Executor::Run(paddle::framework::ProgramDesc const&, paddle::framework::Scope*, int, bool, bool, std::vector<std::string, std::allocator > const&, bool, bool)

Python Call Stacks (More useful to users):

File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/framework.py", line 2525, in append_op attrs=kwargs.get("attrs", None)) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/reader.py", line 733, in _init_non_iterable outputs={'Out': self._feed_list}) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/reader.py", line 646, in init self._init_non_iterable() File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/reader.py", line 280, in from_generator iterable, return_list) File "run_ernie_classifier.py", line 56, in ernie_pyreader use_double_buffer=False) File "run_ernie_classifier.py", line 196, in main args, pyreader_name='train_pyreader') File "run_ernie_classifier.py", line 379, in main(args)

Error Message Summary:

Error: The feeded Variable src_ids should have dimensions = 3, shape = [-1, 256, 1], but received feeded shape [4, 191, 1] [Hint: Expected DimensionIsCompatibleWith(shapes[i], in_dims) == true, but received DimensionIsCompatibleWith(shapes[i], in_dims):0 != true:1.] at (/paddle/paddle/fluid/operators/reader/read_op.cc:133) [operator < read > error] terminate called without an active exception W0327 11:31:46.799196 27948 init.cc:209] Warning: PaddlePaddle catches a failure signal, it may not work properly W0327 11:31:46.799240 27948 init.cc:211] You could check whether you killed PaddlePaddle thread/process accidentally or report the case to PaddlePaddle W0327 11:31:46.799247 27948 init.cc:214] The detail failure signal is:

W0327 11:31:46.799260 27948 init.cc:217] Aborted at 1585279906 (unix time) try "date -d @1585279906" if you are using GNU date W0327 11:31:46.800933 27948 init.cc:217] PC: @ 0x0 (unknown) W0327 11:31:46.801038 27948 init.cc:217] SIGABRT (@0x3e800006ccc) received by PID 27852 (TID 0x7f493d145700) from PID 27852; stack trace: W0327 11:31:46.802203 27948 init.cc:217] @ 0x7f4959f91390 (unknown) W0327 11:31:46.803315 27948 init.cc:217] @ 0x7f4959beb428 gsignal W0327 11:31:46.804404 27948 init.cc:217] @ 0x7f4959bed02a abort W0327 11:31:46.805187 27948 init.cc:217] @ 0x7f491ab1984a gnu_cxx::verbose_terminate_handler() W0327 11:31:46.805850 27948 init.cc:217] @ 0x7f491ab17f47 cxxabiv1::terminate() W0327 11:31:46.806664 27948 init.cc:217] @ 0x7f491ab17f7d std::terminate() W0327 11:31:46.807369 27948 init.cc:217] @ 0x7f491ab17c5a gxx_personality_v0 W0327 11:31:46.808004 27948 init.cc:217] @ 0x7f491ae4ab97 _Unwind_ForcedUnwind_Phase2 W0327 11:31:46.808630 27948 init.cc:217] @ 0x7f491ae4ae7d _Unwind_ForcedUnwind W0327 11:31:46.809741 27948 init.cc:217] @ 0x7f4959f90070 GI_pthread_unwind W0327 11:31:46.810840 27948 init.cc:217] @ 0x7f4959f88845 pthread_exit W0327 11:31:46.811084 27948 init.cc:217] @ 0x560d80438e59 PyThread_exit_thread W0327 11:31:46.811159 27948 init.cc:217] @ 0x560d802bec17 PyEval_RestoreThread.cold.798 W0327 11:31:46.812208 27948 init.cc:217] @ 0x7f48f1492d49 pybind11::gil_scoped_release::~gil_scoped_release() W0327 11:31:46.812541 27948 init.cc:217] @ 0x7f48f143f704 _ZZN8pybind1112cpp_function10initializeIZN6paddle6pybindL22pybind11_init_core_avxERNS_6moduleEEUlRNS2_9operators6reader22LoDTensorBlockingQueueERKSt6vectorINS2_9framework9LoDTensorESaISC_EEE60_bIS9_SG_EINS_4nameENS_9is_methodENS_7siblingEEEEvOT_PFT0_DpT1_EDpRKT2_ENUlRNS_6detail13function_callEE1_4FUNESY W0327 11:31:46.813469 27948 init.cc:217] @ 0x7f48f14b10f1 pybind11::cpp_function::dispatcher() W0327 11:31:46.813761 27948 init.cc:217] @ 0x560d803ba744 _PyMethodDef_RawFastCallKeywords W0327 11:31:46.814002 27948 init.cc:217] @ 0x560d803ba861 _PyCFunction_FastCallKeywords W0327 11:31:46.814231 27948 init.cc:217] @ 0x560d804266e8 _PyEval_EvalFrameDefault W0327 11:31:46.814442 27948 init.cc:217] @ 0x560d8036a81a _PyEval_EvalCodeWithName W0327 11:31:46.814661 27948 init.cc:217] @ 0x560d8036b635 _PyFunction_FastCallDict W0327 11:31:46.814884 27948 init.cc:217] @ 0x560d80423232 _PyEval_EvalFrameDefault W0327 11:31:46.815078 27948 init.cc:217] @ 0x560d803b9ccb _PyFunction_FastCallKeywords W0327 11:31:46.815299 27948 init.cc:217] @ 0x560d80421a93 _PyEval_EvalFrameDefault W0327 11:31:46.815492 27948 init.cc:217] @ 0x560d803b9ccb _PyFunction_FastCallKeywords W0327 11:31:46.815721 27948 init.cc:217] @ 0x560d80421a93 _PyEval_EvalFrameDefault W0327 11:31:46.815929 27948 init.cc:217] @ 0x560d8036b56b _PyFunction_FastCallDict W0327 11:31:46.816131 27948 init.cc:217] @ 0x560d80389e53 _PyObject_Call_Prepend W0327 11:31:46.816356 27948 init.cc:217] @ 0x560d8037cdbe PyObject_Call W0327 11:31:46.816448 27948 init.cc:217] @ 0x560d80479817 t_bootstrap W0327 11:31:46.816498 27948 init.cc:217] @ 0x560d80434788 pythread_wrapper W0327 11:31:46.817675 27948 init.cc:217] @ 0x7f4959f876ba start_thread Aborted (core dumped)

IEnglishBad commented 4 years ago

数据的最大长度为191，模型设置的最大长度为256，可以在models/PaddleNLP/shared_modules/preprocess/padding.py的25行pad_batch_data函数中修改37行的max_len变量等于模型设置的最大长度，修改后就可以运行了。

IEnglishBad commented 4 years ago

修改num_label 启动脚本里面 ------------------ 原始邮件 ------------------ 发件人: "moli"<notifications@github.com>; 发送时间: 2020年3月30日(星期一) 晚上6:10 收件人: "PaddlePaddle/models"<models@noreply.github.com>; 抄送: "温水煮青蛙"<398972900@qq.com>;"Mention"<mention@noreply.github.com>; 主题: Re: [PaddlePaddle/models] PaddleNLP的sentiment_classification官方例程报错 (#4488)

@IEnglishBad 多谢 但是程序似乎无法更换类别数目，我想用它训练自己的数据，在更换多类时，运行报错！ RuntimeError: Shape not matching: the Program requires a parameter with a shape of ((256, 10)), while the loaded parameter (namely [ fc_75.w_0 ]) has a shape of ((256, 2))

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