d-filter-v1.2 / config.json
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{
"_name_or_path": "uitnlp/visobert",
"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": 768,
"id2label": {
"0": "PROFANITY",
"1": "SEVERE_TOXICITY",
"2": "INSULT",
"3": "THREAT",
"4": "TOXICITY",
"5": "IDENTITY_ATTACK"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"IDENTITY_ATTACK": 5,
"INSULT": 2,
"PROFANITY": 0,
"SEVERE_TOXICITY": 1,
"THREAT": 3,
"TOXICITY": 4
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 514,
"model_type": "xlm-roberta",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"problem_type": "multi_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.41.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 15004
}