Upload config.json

config.json

@@ -0,0 +1,59 @@
+{
+  "_name_or_path": "pyToshka/wazuh-assist",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Benign",
+    "1": "Suspicious",
+    "2": "Malicious"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Benign": 0,
+    "Suspicious": 1,
+    "Malicious": 2
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_classes": 3,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50281,
+  "special_tokens": [
+    "[WAZUH]",
+    "[ALERT]",
+    "[RULE]",
+    "[AGENT]",
+    "[MITRE]",
+    "[TIME]",
+    "[LEVEL]",
+    "[DATA]",
+    "[SRCIP]",
+    "[DSTIP]",
+    "[PORT]",
+    "[USER]",
+    "[FILE]",
+    "[PROCESS]",
+    "[SEVERITY]",
+    "[GROUP]"
+  ],
+  "pipeline_tag": "text-classification",
+  "library_name": "transformers",
+  "num_labels": 3
+}