pragnakalp/bert_based_ner_models

1{2  "architectures": [3    "BertForMaskedLM"4  ],5  "attention_probs_dropout_prob": 0.1,6  "finetuning_task": null,7  "hidden_act": "gelu",8  "hidden_dropout_prob": 0.1,9  "hidden_size": 768,10  "id2label": {11    "0": "LABEL_0",12    "1": "LABEL_1"13  },14  "initializer_range": 0.02,15  "intermediate_size": 3072,16  "is_decoder": false,17  "label2id": {18    "LABEL_0": 0,19    "LABEL_1": 120  },21  "layer_norm_eps": 1e-12,22  "max_position_embeddings": 512,23  "model_type": "bert",24  "num_attention_heads": 12,25  "num_hidden_layers": 12,26  "num_labels": 35,27  "output_attentions": false,28  "output_hidden_states": false,29  "output_past": true,30  "pad_token_id": 0,31  "pruned_heads": {},32  "torchscript": false,33  "type_vocab_size": 2,34  "use_bfloat16": false,35  "vocab_size": 2899636}37