wazuh-assist / config.json
pyToshka's picture
Upload config.json
0f3d11e verified
{
"_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
}