bert-tiny-ontonotes / config.json
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End of training
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{
"_name_or_path": "prajjwal1/bert-tiny",
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 128,
"id2label": {
"0": "O",
"1": "B-CARDINAL",
"2": "B-DATE",
"3": "I-DATE",
"4": "B-PERSON",
"5": "I-PERSON",
"6": "B-NORP",
"7": "B-GPE",
"8": "I-GPE",
"9": "B-LAW",
"10": "I-LAW",
"11": "B-ORG",
"12": "I-ORG",
"13": "B-PERCENT",
"14": "I-PERCENT",
"15": "B-ORDINAL",
"16": "B-MONEY",
"17": "I-MONEY",
"18": "B-WORK_OF_ART",
"19": "I-WORK_OF_ART",
"20": "B-FAC",
"21": "B-TIME",
"22": "I-CARDINAL",
"23": "B-LOC",
"24": "B-QUANTITY",
"25": "I-QUANTITY",
"26": "I-NORP",
"27": "I-LOC",
"28": "B-PRODUCT",
"29": "I-TIME",
"30": "B-EVENT",
"31": "I-EVENT",
"32": "I-FAC",
"33": "B-LANGUAGE",
"34": "I-PRODUCT",
"35": "I-ORDINAL",
"36": "I-LANGUAGE"
},
"initializer_range": 0.02,
"intermediate_size": 512,
"label2id": {
"B-CARDINAL": 1,
"B-DATE": 2,
"B-EVENT": 30,
"B-FAC": 20,
"B-GPE": 7,
"B-LANGUAGE": 33,
"B-LAW": 9,
"B-LOC": 23,
"B-MONEY": 16,
"B-NORP": 6,
"B-ORDINAL": 15,
"B-ORG": 11,
"B-PERCENT": 13,
"B-PERSON": 4,
"B-PRODUCT": 28,
"B-QUANTITY": 24,
"B-TIME": 21,
"B-WORK_OF_ART": 18,
"I-CARDINAL": 22,
"I-DATE": 3,
"I-EVENT": 31,
"I-FAC": 32,
"I-GPE": 8,
"I-LANGUAGE": 36,
"I-LAW": 10,
"I-LOC": 27,
"I-MONEY": 17,
"I-NORP": 26,
"I-ORDINAL": 35,
"I-ORG": 12,
"I-PERCENT": 14,
"I-PERSON": 5,
"I-PRODUCT": 34,
"I-QUANTITY": 25,
"I-TIME": 29,
"I-WORK_OF_ART": 19,
"O": 0
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 2,
"num_hidden_layers": 2,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.36.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}