norbert3-large_TSA / config.json
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{
"_name_or_path": "/home/egil/gits_wsl/SANT_FinalStage/models/01191518_tsa-bin_NorBERT_3_large_final/best_model",
"architectures": [
"NorbertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"auto_map": {
"AutoConfig": "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": "modeling_norbert.NorbertForTokenClassification"
},
"finetuning_task": "01191518_tsa-bin_norbert_3_large",
"hidden_dropout_prob": 0.1,
"hidden_size": 1024,
"id2label": {
"0": "O",
"1": "B-targ-Negative",
"2": "I-targ-Negative",
"3": "B-targ-Positive",
"4": "I-targ-Positive"
},
"intermediate_size": 2730,
"label2id": {
"B-targ-Negative": 1,
"B-targ-Positive": 3,
"I-targ-Negative": 2,
"I-targ-Positive": 4,
"O": 0
},
"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,
"torch_dtype": "float32",
"transformers_version": "4.36.2",
"vocab_size": 50000
}