NER-Indian-xlm-roberta / config.json
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{
"_name_or_path": "xlm-roberta-base",
"architectures": [
"XLMRobertaForTokenClassification"
],
"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": "O",
"1": "art",
"2": "building",
"3": "event",
"4": "location",
"5": "organization",
"6": "other",
"7": "person",
"8": "product",
"9": "amount"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"O": 0,
"amount": 9,
"art": 1,
"building": 2,
"event": 3,
"location": 4,
"organization": 5,
"other": 6,
"person": 7,
"product": 8
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 514,
"model_type": "xlm-roberta",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"output_past": true,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.27.0",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 250002
}