Update config.json

config.json

@@ -1,170 +1 @@
-{'input_layers': [['input_ids', 0, 0], ['attention_mask', 0, 0]],
- 'layers': [{'class_name': 'InputLayer',
-   'config': {'batch_input_shape': (None, 70),
-    'dtype': 'int32',
-    'name': 'input_ids',
-    'ragged': False,
-    'sparse': False},
-   'inbound_nodes': [],
-   'name': 'input_ids'},
-  {'class_name': 'InputLayer',
-   'config': {'batch_input_shape': (None, 70),
-    'dtype': 'int32',
-    'name': 'attention_mask',
-    'ragged': False,
-    'sparse': False},
-   'inbound_nodes': [],
-   'name': 'attention_mask'},
-  {'class_name': 'TFRobertaModel',
-   'config': {'_name_or_path': 'pysentimiento/robertuito-sentiment-analysis',
-    'add_cross_attention': False,
-    'architectures': ['RobertaForSequenceClassification'],
-    'attention_probs_dropout_prob': 0.1,
-    'bad_words_ids': None,
-    'bos_token_id': 0,
-    'chunk_size_feed_forward': 0,
-    'classifier_dropout': None,
-    'cross_attention_hidden_size': None,
-    'decoder_start_token_id': None,
-    'diversity_penalty': 0.0,
-    'do_sample': False,
-    'early_stopping': False,
-    'encoder_no_repeat_ngram_size': 0,
-    'eos_token_id': 2,
-    'finetuning_task': None,
-    'forced_bos_token_id': None,
-    'forced_eos_token_id': None,
-    'gradient_checkpointing': False,
-    'hidden_act': 'gelu',
-    'hidden_dropout_prob': 0.1,
-    'hidden_size': 768,
-    'id2label': {0: 'NEG', 1: 'NEU', 2: 'POS'},
-    'initializer_range': 0.02,
-    'intermediate_size': 3072,
-    'is_decoder': False,
-    'is_encoder_decoder': False,
-    'label2id': {'NEG': 0, 'NEU': 1, 'POS': 2},
-    'layer_norm_eps': 1e-12,
-    'length_penalty': 1.0,
-    'max_length': 20,
-    'max_position_embeddings': 130,
-    'min_length': 0,
-    'model_type': 'roberta',
-    'no_repeat_ngram_size': 0,
-    'num_attention_heads': 12,
-    'num_beam_groups': 1,
-    'num_beams': 1,
-    'num_hidden_layers': 12,
-    'num_return_sequences': 1,
-    'output_attentions': False,
-    'output_hidden_states': True,
-    'output_scores': False,
-    'pad_token_id': 1,
-    'position_embedding_type': 'absolute',
-    'prefix': None,
-    'problem_type': 'single_label_classification',
-    'pruned_heads': {},
-    'remove_invalid_values': False,
-    'repetition_penalty': 1.0,
-    'return_dict': True,
-    'return_dict_in_generate': False,
-    'sep_token_id': None,
-    'task_specific_params': None,
-    'temperature': 1.0,
-    'tie_encoder_decoder': False,
-    'tie_word_embeddings': True,
-    'tokenizer_class': None,
-    'top_k': 50,
-    'top_p': 1.0,
-    'torch_dtype': 'float32',
-    'torchscript': False,
-    'transformers_version': '4.16.2',
-    'type_vocab_size': 1,
-    'use_bfloat16': False,
-    'use_cache': True,
-    'vocab_size': 30002},
-   'inbound_nodes': [[['input_ids',
-      0,
-      0,
-      {'attention_mask': ['attention_mask', 0, 0]}]]],
-   'name': 'tf_roberta_model_2'},
-  {'class_name': 'Concatenate',
-   'config': {'axis': -1,
-    'dtype': 'float32',
-    'name': 'concatenate_1',
-    'trainable': True},
-   'inbound_nodes': [(['tf_roberta_model_2', 0, 9, {}],
-     ['tf_roberta_model_2', 0, 10, {}],
-     ['tf_roberta_model_2', 0, 11, {}],
-     ['tf_roberta_model_2', 0, 12, {}])],
-   'name': 'concatenate_1'},
-  {'class_name': 'GlobalMaxPooling1D',
-   'config': {'data_format': 'channels_last',
-    'dtype': 'float32',
-    'keepdims': False,
-    'name': 'global_max_pooling1d_4',
-    'trainable': True},
-   'inbound_nodes': [[['concatenate_1', 0, 0, {}]]],
-   'name': 'global_max_pooling1d_4'},
-  {'class_name': 'Dense',
-   'config': {'activation': 'relu',
-    'activity_regularizer': None,
-    'bias_constraint': None,
-    'bias_initializer': {'class_name': 'Zeros', 'config': {}},
-    'bias_regularizer': None,
-    'dtype': 'float32',
-    'kernel_constraint': None,
-    'kernel_initializer': {'class_name': 'GlorotUniform',
-     'config': {'seed': None}},
-    'kernel_regularizer': None,
-    'name': 'dense_9',
-    'trainable': True,
-    'units': 128,
-    'use_bias': True},
-   'inbound_nodes': [[['global_max_pooling1d_4', 0, 0, {}]]],
-   'name': 'dense_9'},
-  {'class_name': 'Dropout',
-   'config': {'dtype': 'float32',
-    'name': 'dropout_151',
-    'noise_shape': None,
-    'rate': 0.1,
-    'seed': None,
-    'trainable': True},
-   'inbound_nodes': [[['dense_9', 0, 0, {}]]],
-   'name': 'dropout_151'},
-  {'class_name': 'Dense',
-   'config': {'activation': 'relu',
-    'activity_regularizer': None,
-    'bias_constraint': None,
-    'bias_initializer': {'class_name': 'Zeros', 'config': {}},
-    'bias_regularizer': None,
-    'dtype': 'float32',
-    'kernel_constraint': None,
-    'kernel_initializer': {'class_name': 'GlorotUniform',
-     'config': {'seed': None}},
-    'kernel_regularizer': None,
-    'name': 'dense_10',
-    'trainable': True,
-    'units': 32,
-    'use_bias': True},
-   'inbound_nodes': [[['dropout_151', 0, 0, {}]]],
-   'name': 'dense_10'},
-  {'class_name': 'Dense',
-   'config': {'activation': 'sigmoid',
-    'activity_regularizer': None,
-    'bias_constraint': None,
-    'bias_initializer': {'class_name': 'Zeros', 'config': {}},
-    'bias_regularizer': None,
-    'dtype': 'float32',
-    'kernel_constraint': None,
-    'kernel_initializer': {'class_name': 'GlorotUniform',
-     'config': {'seed': None}},
-    'kernel_regularizer': None,
-    'name': 'dense_11',
-    'trainable': True,
-    'units': 3,
-    'use_bias': True},
-   'inbound_nodes': [[['dense_10', 0, 0, {}]]],
-   'name': 'dense_11'}],
- 'name': 'model_3',
- 'output_layers': [['dense_11', 0, 0]]}
+{"name": "model", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 70], "dtype": "int32", "sparse": false, "ragged": false, "name": "input_ids"}, "name": "input_ids", "inbound_nodes": []}, {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 70], "dtype": "int32", "sparse": false, "ragged": false, "name": "attention_mask"}, "name": "attention_mask", "inbound_nodes": []}, {"class_name": "TFRobertaModel", "config": {"return_dict": true, "output_hidden_states": true, "output_attentions": false, "torchscript": false, "torch_dtype": "float32", "use_bfloat16": false, "pruned_heads": {}, "tie_word_embeddings": true, "is_encoder_decoder": false, "is_decoder": false, "cross_attention_hidden_size": null, "add_cross_attention": false, "tie_encoder_decoder": false, "max_length": 20, "min_length": 0, "do_sample": false, "early_stopping": false, "num_beams": 1, "num_beam_groups": 1, "diversity_penalty": 0.0, "temperature": 1.0, "top_k": 50, "top_p": 1.0, "repetition_penalty": 1.0, "length_penalty": 1.0, "no_repeat_ngram_size": 0, "encoder_no_repeat_ngram_size": 0, "bad_words_ids": null, "num_return_sequences": 1, "chunk_size_feed_forward": 0, "output_scores": false, "return_dict_in_generate": false, "forced_bos_token_id": null, "forced_eos_token_id": null, "remove_invalid_values": false, "architectures": ["RobertaForSequenceClassification"], "finetuning_task": null, "id2label": {"0": "NEG", "1": "NEU", "2": "POS"}, "label2id": {"NEG": 0, "NEU": 1, "POS": 2}, "tokenizer_class": null, "prefix": null, "bos_token_id": 0, "pad_token_id": 1, "eos_token_id": 2, "sep_token_id": null, "decoder_start_token_id": null, "task_specific_params": null, "problem_type": "single_label_classification", "_name_or_path": "pysentimiento/robertuito-sentiment-analysis", "transformers_version": "4.16.2", "gradient_checkpointing": false, "model_type": "roberta", "vocab_size": 30002, "hidden_size": 768, "num_hidden_layers": 12, "num_attention_heads": 12, "hidden_act": "gelu", "intermediate_size": 3072, "hidden_dropout_prob": 0.1, "attention_probs_dropout_prob": 0.1, "max_position_embeddings": 130, "type_vocab_size": 1, "initializer_range": 0.02, "layer_norm_eps": 1e-12, "position_embedding_type": "absolute", "use_cache": true, "classifier_dropout": null}, "name": "tf_roberta_model", "inbound_nodes": [[["input_ids", 0, 0, {"attention_mask": ["attention_mask", 0, 0]}]]]}, {"class_name": "Concatenate", "config": {"name": "concatenate", "trainable": true, "dtype": "float32", "axis": -1}, "name": "concatenate", "inbound_nodes": [[["tf_roberta_model", 0, 9, {}], ["tf_roberta_model", 0, 10, {}], ["tf_roberta_model", 0, 11, {}], ["tf_roberta_model", 0, 12, {}]]]}, {"class_name": "GlobalMaxPooling1D", "config": {"name": "global_max_pooling1d", "trainable": true, "dtype": "float32", "data_format": "channels_last", "keepdims": false}, "name": "global_max_pooling1d", "inbound_nodes": [[["concatenate", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense", "trainable": true, "dtype": "float32", "units": 128, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "dense", "inbound_nodes": [[["global_max_pooling1d", 0, 0, {}]]]}, {"class_name": "Dropout", "config": {"name": "dropout_37", "trainable": true, "dtype": "float32", "rate": 0.1, "noise_shape": null, "seed": null}, "name": "dropout_37", "inbound_nodes": [[["dense", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_1", "trainable": true, "dtype": "float32", "units": 32, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "dense_1", "inbound_nodes": [[["dropout_37", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_2", "trainable": true, "dtype": "float32", "units": 3, "activation": "sigmoid", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "dense_2", "inbound_nodes": [[["dense_1", 0, 0, {}]]]}], "input_layers": [["input_ids", 0, 0], ["attention_mask", 0, 0]], "output_layers": [["dense_2", 0, 0]]}