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{
"_name_or_path": "xlm-roberta-large",
"architectures": [
"XLMRobertaForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
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"hidden_act": "gelu",
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"hidden_size": 1024,
"id2label": {
"0": "B-rating",
"1": "I-rating",
"2": "O",
"3": "B-amenity",
"4": "I-amenity",
"5": "B-location",
"6": "I-location",
"7": "B-restaurant",
"8": "I-restaurant",
"9": "B-money",
"10": "B-time",
"11": "I-time",
"12": "B-dish",
"13": "I-dish",
"14": "B-cuisine",
"15": "I-money",
"16": "I-cuisine"
},
"initializer_range": 0.02,
"intermediate_size": 4096,
"label2id": {
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"B-cuisine": 14,
"B-dish": 12,
"B-location": 5,
"B-money": 9,
"B-rating": 0,
"B-restaurant": 7,
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"I-amenity": 4,
"I-cuisine": 16,
"I-dish": 13,
"I-location": 6,
"I-money": 15,
"I-rating": 1,
"I-restaurant": 8,
"I-time": 11,
"O": 2
},
"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,
"type_vocab_size": 1,
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}
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