| { | |
| "module": "keras_nlp.src.models.bert.bert_classifier", | |
| "class_name": "BertClassifier", | |
| "config": { | |
| "backbone": { | |
| "module": "keras_nlp.src.models.bert.bert_backbone", | |
| "class_name": "BertBackbone", | |
| "config": { | |
| "name": "bert_backbone", | |
| "trainable": true, | |
| "vocabulary_size": 30522, | |
| "num_layers": 2, | |
| "num_heads": 2, | |
| "hidden_dim": 128, | |
| "intermediate_dim": 512, | |
| "dropout": 0.1, | |
| "max_sequence_length": 512, | |
| "num_segments": 2 | |
| }, | |
| "registered_name": "keras_nlp>BertBackbone" | |
| }, | |
| "preprocessor": { | |
| "module": "keras_nlp.src.models.bert.bert_preprocessor", | |
| "class_name": "BertPreprocessor", | |
| "config": { | |
| "name": "bert_preprocessor", | |
| "trainable": true, | |
| "dtype": "float32", | |
| "tokenizer": { | |
| "module": "keras_nlp.src.models.bert.bert_tokenizer", | |
| "class_name": "BertTokenizer", | |
| "config": { | |
| "name": "bert_tokenizer", | |
| "trainable": true, | |
| "dtype": "int32", | |
| "vocabulary": null, | |
| "sequence_length": null, | |
| "lowercase": true, | |
| "strip_accents": false, | |
| "split": true, | |
| "suffix_indicator": "##", | |
| "oov_token": "[UNK]" | |
| }, | |
| "registered_name": "keras_nlp>BertTokenizer" | |
| }, | |
| "sequence_length": 512, | |
| "truncate": "round_robin" | |
| }, | |
| "registered_name": "keras_nlp>BertPreprocessor" | |
| }, | |
| "name": "bert_classifier", | |
| "num_classes": 4, | |
| "activation": "linear", | |
| "dropout": 0.1 | |
| }, | |
| "registered_name": "keras_nlp>BertClassifier" | |
| } |