config.json

{
  "_name_or_path": "bencyc1129/mitre-bert-base-cased",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "Collection",
    "1": "Command and Control",
    "2": "Credential Access",
    "3": "Defense Evasion",
    "4": "Discovery",
    "5": "Execution",
    "6": "Exfiltration",
    "7": "Impact",
    "8": "Initial Access",
    "9": "Lateral Movement",
    "10": "Persistence",
    "11": "Privilege Escalation",
    "12": "Reconnaissance",
    "13": "Resource Development"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Collection": 0,
    "Command and Control": 1,
    "Credential Access": 2,
    "Defense Evasion": 3,
    "Discovery": 4,
    "Execution": 5,
    "Exfiltration": 6,
    "Impact": 7,
    "Initial Access": 8,
    "Lateral Movement": 9,
    "Persistence": 10,
    "Privilege Escalation": 11,
    "Reconnaissance": 12,
    "Resource Development": 13
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.41.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 29790
}