wolof-finetuned-ner / config.json
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{
"_name_or_path": "../input/my-model/xlm_roberta_base_pretrained_wolof_model_pytorch",
"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": "B-LOC",
"2": "B-PER",
"3": "I-PER",
"4": "B-ORG",
"5": "I-DATE",
"6": "B-DATE",
"7": "I-ORG",
"8": "I-LOC"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"B-DATE": 6,
"B-LOC": 1,
"B-ORG": 4,
"B-PER": 2,
"I-DATE": 5,
"I-LOC": 8,
"I-ORG": 7,
"I-PER": 3,
"O": 0
},
"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": "4.33.0",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 250002
}