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": "TA0001:Initial Access",
    "1": "TA0002:Execution",
    "2": "TA0003:Persistence",
    "3": "TA0004:Privilege Escalation",
    "4": "TA0005:Defense Evasion",
    "5": "TA0006:Credential Access",
    "6": "TA0007:Discovery",
    "7": "TA0008:Lateral Movement",
    "8": "TA0009:Collection",
    "9": "TA0010:Exfiltration",
    "10": "TA0011:Command and Control",
    "11": "TA0040:Impact",
    "12": "TA0042:Resource Development",
    "13": "TA0043:Reconnaissance"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "TA0001:Initial Access": 0,
    "TA0002:Execution": 1,
    "TA0003:Persistence": 2,
    "TA0004:Privilege Escalation": 3,
    "TA0005:Defense Evasion": 4,
    "TA0006:Credential Access": 5,
    "TA0007:Discovery": 6,
    "TA0008:Lateral Movement": 7,
    "TA0009:Collection": 8,
    "TA0010:Exfiltration": 9,
    "TA0011:Command and Control": 10,
    "TA0040:Impact": 11,
    "TA0042:Resource Development": 12,
    "TA0043:Reconnaissance": 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": "4.45.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 29790
}