NorBERT3-Large_FGN / config.json
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{
"_name_or_path": "ltg/norbert3-large",
"architectures": [
"NorbertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"auto_map": {
"AutoConfig": "ltg/norbert3-large--configuration_norbert.NorbertConfig",
"AutoModel": "ltg/norbert3-large--modeling_norbert.NorbertModel",
"AutoModelForMaskedLM": "ltg/norbert3-large--modeling_norbert.NorbertForMaskedLM",
"AutoModelForMultipleChoice": "ltg/norbert3-large--modeling_norbert.NorbertForMultipleChoice",
"AutoModelForQuestionAnswering": "ltg/norbert3-large--modeling_norbert.NorbertForQuestionAnswering",
"AutoModelForSequenceClassification": "ltg/norbert3-large--modeling_norbert.NorbertForSequenceClassification",
"AutoModelForTokenClassification": "ltg/norbert3-large--modeling_norbert.NorbertForTokenClassification"
},
"hidden_dropout_prob": 0.1,
"hidden_size": 1024,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1",
"2": "LABEL_2",
"3": "LABEL_3"
},
"intermediate_size": 2730,
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1,
"LABEL_2": 2,
"LABEL_3": 3
},
"layer_norm_eps": 1e-07,
"max_position_embeddings": 512,
"num_attention_heads": 16,
"num_hidden_layers": 24,
"output_all_encoded_layers": true,
"position_bucket_size": 32,
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.41.2",
"vocab_size": 50000
}