{ "metadata": { "total_size": 351716 }, "weight_map": { "tf_bert_model/bert/embeddings/LayerNorm/beta:0": "tf_model-00003-of-00005.h5", "tf_bert_model/bert/embeddings/LayerNorm/gamma:0": "tf_model-00003-of-00005.h5", "tf_bert_model/bert/embeddings/position_embeddings/embeddings:0": "tf_model-00003-of-00005.h5", "tf_bert_model/bert/embeddings/token_type_embeddings/embeddings:0": "tf_model-00003-of-00005.h5", "tf_bert_model/bert/embeddings/word_embeddings/weight:0": "tf_model-00002-of-00005.h5", "tf_bert_model/bert/encoder/layer_._0/attention/output/LayerNorm/beta:0": "tf_model-00003-of-00005.h5", "tf_bert_model/bert/encoder/layer_._0/attention/output/LayerNorm/gamma:0": "tf_model-00003-of-00005.h5", "tf_bert_model/bert/encoder/layer_._0/attention/output/dense/bias:0": "tf_model-00003-of-00005.h5", "tf_bert_model/bert/encoder/layer_._0/attention/output/dense/kernel:0": "tf_model-00003-of-00005.h5", "tf_bert_model/bert/encoder/layer_._0/attention/self/key/bias:0": "tf_model-00003-of-00005.h5", "tf_bert_model/bert/encoder/layer_._0/attention/self/key/kernel:0": "tf_model-00003-of-00005.h5", "tf_bert_model/bert/encoder/layer_._0/attention/self/query/bias:0": "tf_model-00003-of-00005.h5", "tf_bert_model/bert/encoder/layer_._0/attention/self/query/kernel:0": "tf_model-00003-of-00005.h5", "tf_bert_model/bert/encoder/layer_._0/attention/self/value/bias:0": "tf_model-00003-of-00005.h5", "tf_bert_model/bert/encoder/layer_._0/attention/self/value/kernel:0": "tf_model-00003-of-00005.h5", "tf_bert_model/bert/encoder/layer_._0/intermediate/dense/bias:0": "tf_model-00003-of-00005.h5", "tf_bert_model/bert/encoder/layer_._0/intermediate/dense/kernel:0": "tf_model-00003-of-00005.h5", "tf_bert_model/bert/encoder/layer_._0/output/LayerNorm/beta:0": "tf_model-00003-of-00005.h5", "tf_bert_model/bert/encoder/layer_._0/output/LayerNorm/gamma:0": "tf_model-00003-of-00005.h5", "tf_bert_model/bert/encoder/layer_._0/output/dense/bias:0": "tf_model-00003-of-00005.h5", "tf_bert_model/bert/encoder/layer_._0/output/dense/kernel:0": "tf_model-00003-of-00005.h5", "tf_bert_model/bert/encoder/layer_._1/attention/output/LayerNorm/beta:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._1/attention/output/LayerNorm/gamma:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._1/attention/output/dense/bias:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._1/attention/output/dense/kernel:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._1/attention/self/key/bias:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._1/attention/self/key/kernel:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._1/attention/self/query/bias:0": "tf_model-00003-of-00005.h5", "tf_bert_model/bert/encoder/layer_._1/attention/self/query/kernel:0": "tf_model-00003-of-00005.h5", "tf_bert_model/bert/encoder/layer_._1/attention/self/value/bias:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._1/attention/self/value/kernel:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._1/intermediate/dense/bias:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._1/intermediate/dense/kernel:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._1/output/LayerNorm/beta:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._1/output/LayerNorm/gamma:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._1/output/dense/bias:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._1/output/dense/kernel:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._2/attention/output/LayerNorm/beta:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._2/attention/output/LayerNorm/gamma:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._2/attention/output/dense/bias:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._2/attention/output/dense/kernel:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._2/attention/self/key/bias:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._2/attention/self/key/kernel:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._2/attention/self/query/bias:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._2/attention/self/query/kernel:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._2/attention/self/value/bias:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._2/attention/self/value/kernel:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._2/intermediate/dense/bias:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._2/intermediate/dense/kernel:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._2/output/LayerNorm/beta:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._2/output/LayerNorm/gamma:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._2/output/dense/bias:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._2/output/dense/kernel:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._3/attention/output/LayerNorm/beta:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._3/attention/output/LayerNorm/gamma:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._3/attention/output/dense/bias:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._3/attention/output/dense/kernel:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._3/attention/self/key/bias:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._3/attention/self/key/kernel:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._3/attention/self/query/bias:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._3/attention/self/query/kernel:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._3/attention/self/value/bias:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._3/attention/self/value/kernel:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._3/intermediate/dense/bias:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._3/intermediate/dense/kernel:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._3/output/LayerNorm/beta:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._3/output/LayerNorm/gamma:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._3/output/dense/bias:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._3/output/dense/kernel:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._4/attention/output/LayerNorm/beta:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._4/attention/output/LayerNorm/gamma:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._4/attention/output/dense/bias:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._4/attention/output/dense/kernel:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._4/attention/self/key/bias:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._4/attention/self/key/kernel:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._4/attention/self/query/bias:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._4/attention/self/query/kernel:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._4/attention/self/value/bias:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._4/attention/self/value/kernel:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._4/intermediate/dense/bias:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._4/intermediate/dense/kernel:0": "tf_model-00004-of-00005.h5", "tf_bert_model/bert/encoder/layer_._4/output/LayerNorm/beta:0": "tf_model-00005-of-00005.h5", "tf_bert_model/bert/encoder/layer_._4/output/LayerNorm/gamma:0": "tf_model-00005-of-00005.h5", "tf_bert_model/bert/encoder/layer_._4/output/dense/bias:0": "tf_model-00005-of-00005.h5", "tf_bert_model/bert/encoder/layer_._4/output/dense/kernel:0": "tf_model-00005-of-00005.h5", "tf_bert_model/bert/pooler/dense/bias:0": "tf_model-00005-of-00005.h5", "tf_bert_model/bert/pooler/dense/kernel:0": "tf_model-00005-of-00005.h5" } }