norbert3-reranker-base / config.json
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{
"_name_or_path": "ltg/norbert3-base",
"architectures": [
"NorbertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"auto_map": {
"AutoConfig": "ltg/norbert3-base--configuration_norbert.NorbertConfig",
"AutoModel": "ltg/norbert3-base--modeling_norbert.NorbertModel",
"AutoModelForMaskedLM": "ltg/norbert3-base--modeling_norbert.NorbertForMaskedLM",
"AutoModelForMultipleChoice": "ltg/norbert3-base--modeling_norbert.NorbertForMultipleChoice",
"AutoModelForQuestionAnswering": "ltg/norbert3-base--modeling_norbert.NorbertForQuestionAnswering",
"AutoModelForSequenceClassification": "ltg/norbert3-base--modeling_norbert.NorbertForSequenceClassification",
"AutoModelForTokenClassification": "ltg/norbert3-base--modeling_norbert.NorbertForTokenClassification"
},
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "LABEL_0"
},
"intermediate_size": 2048,
"label2id": {
"LABEL_0": 0
},
"layer_norm_eps": 1e-07,
"max_position_embeddings": 512,
"num_attention_heads": 12,
"num_hidden_layers": 12,
"output_all_encoded_layers": true,
"position_bucket_size": 32,
"torch_dtype": "float32",
"transformers_version": "4.38.2",
"vocab_size": 50000
}