autotrain-r8zdq-nww6o / config.json
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{
"_name_or_path": "google-bert/bert-base-uncased",
"_num_labels": 37,
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "B-Apparatus",
"1": "B-Chemical Compound",
"2": "I-Algorithm",
"3": "B-Product",
"4": "B-Composition of Matter",
"5": "B-Machine",
"6": "B-Algorithm",
"7": "B-Biotechnology",
"8": "B-Process",
"9": "I-Electrical Circuit",
"10": "I-Manufacture",
"11": "B-Electrical Circuit",
"12": "O",
"13": "I-Software",
"14": "I-Composition of Matter",
"15": "I-Pharmaceutical Formulation",
"16": "I-System",
"17": "I-Hardware",
"18": "I-Biotechnology",
"19": "B-Device",
"20": "B-Pharmaceutical Formulation",
"21": "I-Product",
"22": "I-Machine",
"23": "B-Hardware",
"24": "B-System",
"25": "B-Software",
"26": "I-Device",
"27": "B-Design",
"28": "I-Design",
"29": "I-Process",
"30": "I-Chemical Compound",
"31": "B-Method of Use",
"32": "I-Apparatus",
"33": "I-Method of Use",
"34": "B-Method",
"35": "B-Manufacture",
"36": "I-Method"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"B-Algorithm": 6,
"B-Apparatus": 0,
"B-Biotechnology": 7,
"B-Chemical Compound": 1,
"B-Composition of Matter": 4,
"B-Design": 27,
"B-Device": 19,
"B-Electrical Circuit": 11,
"B-Hardware": 23,
"B-Machine": 5,
"B-Manufacture": 35,
"B-Method": 34,
"B-Method of Use": 31,
"B-Pharmaceutical Formulation": 20,
"B-Process": 8,
"B-Product": 3,
"B-Software": 25,
"B-System": 24,
"I-Algorithm": 2,
"I-Apparatus": 32,
"I-Biotechnology": 18,
"I-Chemical Compound": 30,
"I-Composition of Matter": 14,
"I-Design": 28,
"I-Device": 26,
"I-Electrical Circuit": 9,
"I-Hardware": 17,
"I-Machine": 22,
"I-Manufacture": 10,
"I-Method": 36,
"I-Method of Use": 33,
"I-Pharmaceutical Formulation": 15,
"I-Process": 29,
"I-Product": 21,
"I-Software": 13,
"I-System": 16,
"O": 12
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.43.1",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}