| { | |
| "metadata": { | |
| "total_size": 1421438976 | |
| }, | |
| "weight_map": { | |
| "roberta/embeddings/LayerNorm/beta:0": "tf_model-00002-of-00002.h5", | |
| "roberta/embeddings/LayerNorm/gamma:0": "tf_model-00002-of-00002.h5", | |
| "roberta/embeddings/position_embeddings/embeddings:0": "tf_model-00002-of-00002.h5", | |
| "roberta/embeddings/token_type_embeddings/embeddings:0": "tf_model-00002-of-00002.h5", | |
| "roberta/embeddings/word_embeddings/weight:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._0/attention/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._0/attention/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._0/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._0/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._0/attention/self/key/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._0/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._0/attention/self/query/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._0/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._0/attention/self/value/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._0/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._0/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._0/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._0/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._0/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._0/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._0/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._1/attention/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._1/attention/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._1/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._1/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._1/attention/self/key/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._1/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._1/attention/self/query/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._1/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._1/attention/self/value/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._1/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._1/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._1/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._1/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._1/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._1/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._1/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._10/attention/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._10/attention/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._10/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._10/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._10/attention/self/key/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._10/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._10/attention/self/query/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._10/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._10/attention/self/value/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._10/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._10/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._10/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._10/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._10/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._10/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._10/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._11/attention/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._11/attention/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._11/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._11/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._11/attention/self/key/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._11/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._11/attention/self/query/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._11/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._11/attention/self/value/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._11/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._11/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._11/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._11/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._11/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._11/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._11/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._12/attention/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._12/attention/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._12/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._12/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._12/attention/self/key/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._12/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._12/attention/self/query/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._12/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._12/attention/self/value/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._12/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._12/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._12/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._12/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._12/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._12/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._12/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._13/attention/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._13/attention/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._13/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._13/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._13/attention/self/key/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._13/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._13/attention/self/query/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._13/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._13/attention/self/value/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._13/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._13/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._13/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._13/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._13/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._13/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._13/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._14/attention/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._14/attention/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._14/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._14/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._14/attention/self/key/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._14/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._14/attention/self/query/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._14/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._14/attention/self/value/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._14/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._14/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._14/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._14/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._14/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._14/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._14/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._15/attention/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._15/attention/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._15/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._15/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._15/attention/self/key/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._15/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._15/attention/self/query/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._15/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._15/attention/self/value/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._15/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._15/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._15/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._15/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._15/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._15/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._15/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._16/attention/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._16/attention/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._16/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._16/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._16/attention/self/key/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._16/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._16/attention/self/query/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._16/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._16/attention/self/value/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._16/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._16/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._16/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._16/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._16/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._16/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._16/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._17/attention/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._17/attention/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._17/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._17/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._17/attention/self/key/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._17/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._17/attention/self/query/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._17/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._17/attention/self/value/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._17/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._17/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._17/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._17/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._17/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._17/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._17/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._18/attention/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._18/attention/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._18/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._18/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._18/attention/self/key/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._18/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._18/attention/self/query/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._18/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._18/attention/self/value/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._18/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._18/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._18/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._18/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._18/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._18/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._18/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._19/attention/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._19/attention/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._19/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._19/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._19/attention/self/key/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._19/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._19/attention/self/query/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._19/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._19/attention/self/value/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._19/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._19/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._19/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._19/output/LayerNorm/beta:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._19/output/LayerNorm/gamma:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._19/output/dense/bias:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._19/output/dense/kernel:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._2/attention/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._2/attention/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._2/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._2/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._2/attention/self/key/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._2/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._2/attention/self/query/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._2/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._2/attention/self/value/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._2/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._2/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._2/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._2/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._2/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._2/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._2/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._20/attention/output/LayerNorm/beta:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._20/attention/output/LayerNorm/gamma:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._20/attention/output/dense/bias:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._20/attention/output/dense/kernel:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._20/attention/self/key/bias:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._20/attention/self/key/kernel:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._20/attention/self/query/bias:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._20/attention/self/query/kernel:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._20/attention/self/value/bias:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._20/attention/self/value/kernel:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._20/intermediate/dense/bias:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._20/intermediate/dense/kernel:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._20/output/LayerNorm/beta:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._20/output/LayerNorm/gamma:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._20/output/dense/bias:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._20/output/dense/kernel:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._21/attention/output/LayerNorm/beta:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._21/attention/output/LayerNorm/gamma:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._21/attention/output/dense/bias:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._21/attention/output/dense/kernel:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._21/attention/self/key/bias:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._21/attention/self/key/kernel:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._21/attention/self/query/bias:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._21/attention/self/query/kernel:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._21/attention/self/value/bias:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._21/attention/self/value/kernel:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._21/intermediate/dense/bias:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._21/intermediate/dense/kernel:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._21/output/LayerNorm/beta:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._21/output/LayerNorm/gamma:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._21/output/dense/bias:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._21/output/dense/kernel:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._22/attention/output/LayerNorm/beta:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._22/attention/output/LayerNorm/gamma:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._22/attention/output/dense/bias:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._22/attention/output/dense/kernel:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._22/attention/self/key/bias:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._22/attention/self/key/kernel:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._22/attention/self/query/bias:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._22/attention/self/query/kernel:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._22/attention/self/value/bias:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._22/attention/self/value/kernel:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._22/intermediate/dense/bias:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._22/intermediate/dense/kernel:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._22/output/LayerNorm/beta:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._22/output/LayerNorm/gamma:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._22/output/dense/bias:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._22/output/dense/kernel:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._23/attention/output/LayerNorm/beta:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._23/attention/output/LayerNorm/gamma:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._23/attention/output/dense/bias:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._23/attention/output/dense/kernel:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._23/attention/self/key/bias:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._23/attention/self/key/kernel:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._23/attention/self/query/bias:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._23/attention/self/query/kernel:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._23/attention/self/value/bias:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._23/attention/self/value/kernel:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._23/intermediate/dense/bias:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._23/intermediate/dense/kernel:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._23/output/LayerNorm/beta:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._23/output/LayerNorm/gamma:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._23/output/dense/bias:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._23/output/dense/kernel:0": "tf_model-00002-of-00002.h5", | |
| "roberta/encoder/layer_._3/attention/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._3/attention/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._3/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._3/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._3/attention/self/key/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._3/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._3/attention/self/query/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._3/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._3/attention/self/value/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._3/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._3/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._3/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._3/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._3/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._3/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._3/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._4/attention/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._4/attention/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._4/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._4/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._4/attention/self/key/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._4/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._4/attention/self/query/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._4/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._4/attention/self/value/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._4/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._4/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._4/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._4/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._4/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._4/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._4/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._5/attention/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._5/attention/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._5/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._5/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._5/attention/self/key/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._5/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._5/attention/self/query/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._5/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._5/attention/self/value/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._5/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._5/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._5/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._5/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._5/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._5/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._5/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._6/attention/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._6/attention/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._6/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._6/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._6/attention/self/key/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._6/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._6/attention/self/query/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._6/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._6/attention/self/value/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._6/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._6/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._6/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._6/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._6/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._6/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._6/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._7/attention/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._7/attention/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._7/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._7/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._7/attention/self/key/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._7/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._7/attention/self/query/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._7/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._7/attention/self/value/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._7/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._7/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._7/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._7/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._7/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._7/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._7/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._8/attention/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._8/attention/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._8/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._8/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._8/attention/self/key/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._8/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._8/attention/self/query/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._8/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._8/attention/self/value/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._8/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._8/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._8/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._8/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._8/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._8/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._8/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._9/attention/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._9/attention/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._9/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._9/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._9/attention/self/key/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._9/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._9/attention/self/query/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._9/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._9/attention/self/value/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._9/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._9/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._9/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._9/output/LayerNorm/beta:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._9/output/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._9/output/dense/bias:0": "tf_model-00001-of-00002.h5", | |
| "roberta/encoder/layer_._9/output/dense/kernel:0": "tf_model-00001-of-00002.h5", | |
| "roberta/pooler/dense/bias:0": "tf_model-00002-of-00002.h5", | |
| "roberta/pooler/dense/kernel:0": "tf_model-00002-of-00002.h5" | |
| } | |
| } | |