ner_model/config.json

{
  "add_cross_attention": false,
  "architectures": [
    "RobertaForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "dtype": "float32",
  "eos_token_id": 2,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "B-ACTIVE",
    "2": "I-ACTIVE",
    "3": "B-REACT",
    "4": "I-REACT",
    "5": "B-FREQ",
    "6": "I-FREQ",
    "7": "B-SYS",
    "8": "I-SYS"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "is_decoder": false,
  "label2id": {
    "B-ACTIVE": 1,
    "B-FREQ": 5,
    "B-REACT": 3,
    "B-SYS": 7,
    "I-ACTIVE": 2,
    "I-FREQ": 6,
    "I-REACT": 4,
    "I-SYS": 8,
    "O": 0
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "roberta",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "tie_word_embeddings": true,
  "transformers_version": "5.3.0",
  "type_vocab_size": 1,
  "use_cache": false,
  "vocab_size": 52004
}