Created
May 9, 2019 16:41
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| model_fn = model_fn_builder( | |
| bert_config=bert_config, | |
| init_checkpoint=INIT_CHECKPOINT, | |
| learning_rate=LEARNING_RATE, | |
| num_train_steps=TRAIN_STEPS, | |
| num_warmup_steps=10, | |
| use_tpu=USE_TPU, | |
| use_one_hot_embeddings=True) | |
| tpu_cluster_resolver = tf.contrib.cluster_resolver.TPUClusterResolver(TPU_ADDRESS) | |
| run_config = tf.contrib.tpu.RunConfig( | |
| cluster=tpu_cluster_resolver, | |
| model_dir=BERT_GCS_DIR, | |
| save_checkpoints_steps=SAVE_CHECKPOINTS_STEPS, | |
| tpu_config=tf.contrib.tpu.TPUConfig( | |
| iterations_per_loop=SAVE_CHECKPOINTS_STEPS, | |
| num_shards=NUM_TPU_CORES, | |
| per_host_input_for_training=tf.contrib.tpu.InputPipelineConfig.PER_HOST_V2)) | |
| estimator = tf.contrib.tpu.TPUEstimator( | |
| use_tpu=USE_TPU, | |
| model_fn=model_fn, | |
| config=run_config, | |
| train_batch_size=TRAIN_BATCH_SIZE, | |
| eval_batch_size=EVAL_BATCH_SIZE) | |
| train_input_fn = input_fn_builder( | |
| input_files=input_files, | |
| max_seq_length=MAX_SEQ_LENGTH, | |
| max_predictions_per_seq=MAX_PREDICTIONS, | |
| is_training=True) |
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