test / config.json
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{
"architectures": [
"XLMRobertaForSequenceClassification"
],
"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": 1024,
"id2label": {
"0": "child_abuse",
"1": "law",
"2": "rape",
"3": "suicide",
"4": "zoo",
"5": "med",
"6": "discrimination",
"7": "financial",
"8": "cannibalism",
"9": "necro",
"10": "confidentiality",
"11": "politics",
"12": "religious",
"13": "incest"
},
"initializer_range": 0.02,
"intermediate_size": 4096,
"label2id": {
"child_abuse": 0,
"law": 1,
"rape": 2,
"suicide": 3,
"zoo": 4,
"med": 5,
"discrimination": 6,
"financial": 7,
"cannibalism": 8,
"necro": 9,
"confidentiality": 10,
"politics": 11,
"religious": 12,
"incest": 13
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 514,
"model_type": "xlm-roberta",
"num_attention_heads": 16,
"num_hidden_layers": 24,
"output_past": true,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"problem_type": "multi_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.51.3",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 250002
}