Training in progress, step 500

config.json

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+  "architectures": [
+    "BertForSequenceClassification"
+  ],
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+  "hidden_act": "gelu",
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+  "id2label": {
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+    "1": "Execution",
+    "2": "Impact",
+    "3": "Persistence",
+    "4": "Privilege Escalation",
+    "5": "Lateral Movement",
+    "6": "Defense Evasion",
+    "7": "Exfiltration",
+    "8": "Discovery",
+    "9": "Collection",
+    "10": "Resource Development",
+    "11": "Reconnaissance",
+    "12": "Command and Control",
+    "13": "Initial Access"
+  },
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+  "intermediate_size": 3072,
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+    "Discovery": 8,
+    "Execution": 1,
+    "Exfiltration": 7,
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+    "Initial Access": 13,
+    "Lateral Movement": 5,
+    "Persistence": 3,
+    "Privilege Escalation": 4,
+    "Reconnaissance": 11,
+    "Resource Development": 10
+  },
+  "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": "4.38.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 29790
+}

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