Upload 6 files
Browse files- config.json +196 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +15 -0
- vocab.txt +0 -0
config.json
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@@ -0,0 +1,196 @@
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{
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"_name_or_path": "distilbert-base-uncased",
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"activation": "gelu",
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"architectures": [
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"DistilBertForTokenClassification"
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],
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"attention_dropout": 0.1,
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"dim": 768,
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"dropout": 0.1,
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"hidden_dim": 3072,
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"id2label": {
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"0": "O",
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"1": "B-Activity",
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"2": "B-Administration",
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"3": "B-Age",
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"4": "B-Area",
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"5": "B-Biological_attribute",
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"6": "B-Biological_structure",
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"7": "B-Clinical_event",
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"8": "B-Color",
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"9": "B-Coreference",
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"10": "B-Date",
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"11": "B-Detailed_description",
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"12": "B-Diagnostic_procedure",
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"13": "B-Disease_disorder",
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"14": "B-Distance",
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"15": "B-Dosage",
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"16": "B-Duration",
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"17": "B-Family_history",
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"18": "B-Frequency",
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"19": "B-Height",
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"20": "B-History",
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"21": "B-Lab_value",
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"22": "B-Mass",
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"23": "B-Medication",
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"24": "B-Non[biological](Detailed_description",
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"25": "B-Nonbiological_location",
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"26": "B-Occupation",
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"27": "B-Other_entity",
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"28": "B-Other_event",
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"29": "B-Outcome",
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"30": "B-Personal_[back](Biological_structure",
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"31": "B-Personal_background",
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"32": "B-Qualitative_concept",
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"33": "B-Quantitative_concept",
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"34": "B-Severity",
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"35": "B-Sex",
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"36": "B-Shape",
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"37": "B-Sign_symptom",
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"38": "B-Subject",
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"39": "B-Texture",
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"40": "B-Therapeutic_procedure",
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"41": "B-Time",
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"42": "B-Volume",
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"43": "B-Weight",
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"44": "I-Activity",
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"45": "I-Administration",
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"46": "I-Age",
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"47": "I-Area",
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"48": "I-Biological_attribute",
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"49": "I-Biological_structure",
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"50": "I-Clinical_event",
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"51": "I-Color",
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"52": "I-Coreference",
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"53": "I-Date",
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"54": "I-Detailed_description",
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"55": "I-Diagnostic_procedure",
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"56": "I-Disease_disorder",
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"57": "I-Distance",
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"58": "I-Dosage",
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"59": "I-Duration",
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"60": "I-Family_history",
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"61": "I-Frequency",
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"62": "I-Height",
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"63": "I-History",
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"64": "I-Lab_value",
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"65": "I-Mass",
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"66": "I-Medication",
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"67": "I-Nonbiological_location",
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"68": "I-Occupation",
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"69": "I-Other_entity",
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"70": "I-Other_event",
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"71": "I-Outcome",
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"72": "I-Personal_background",
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"73": "I-Qualitative_concept",
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"74": "I-Quantitative_concept",
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"75": "I-Severity",
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"76": "I-Shape",
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"77": "I-Sign_symptom",
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"78": "I-Subject",
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"79": "I-Texture",
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"80": "I-Therapeutic_procedure",
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"81": "I-Time",
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"82": "I-Volume",
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"83": "I-Weight"
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},
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"initializer_range": 0.02,
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"label2id": {
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"B-Activity": 1,
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"B-Administration": 2,
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"B-Age": 3,
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"B-Area": 4,
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"B-Biological_attribute": 5,
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"B-Biological_structure": 6,
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"B-Clinical_event": 7,
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"B-Color": 8,
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"B-Coreference": 9,
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"B-Date": 10,
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"B-Detailed_description": 11,
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"B-Diagnostic_procedure": 12,
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"B-Disease_disorder": 13,
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"B-Distance": 14,
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"B-Dosage": 15,
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"B-Duration": 16,
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"B-Family_history": 17,
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"B-Frequency": 18,
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"B-Height": 19,
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"B-History": 20,
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"B-Lab_value": 21,
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"B-Mass": 22,
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"B-Medication": 23,
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"B-Non[biological](Detailed_description": 24,
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"B-Nonbiological_location": 25,
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"B-Occupation": 26,
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"B-Other_entity": 27,
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"B-Other_event": 28,
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"B-Outcome": 29,
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"B-Personal_[back](Biological_structure": 30,
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"B-Personal_background": 31,
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"B-Qualitative_concept": 32,
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"B-Quantitative_concept": 33,
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"B-Severity": 34,
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"B-Sex": 35,
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"B-Shape": 36,
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"B-Sign_symptom": 37,
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"B-Subject": 38,
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"B-Texture": 39,
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"B-Therapeutic_procedure": 40,
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"B-Time": 41,
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"B-Volume": 42,
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"B-Weight": 43,
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"I-Activity": 44,
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"I-Administration": 45,
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"I-Age": 46,
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"I-Area": 47,
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"I-Biological_attribute": 48,
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"I-Biological_structure": 49,
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"I-Clinical_event": 50,
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"I-Color": 51,
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"I-Coreference": 52,
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"I-Date": 53,
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"I-Detailed_description": 54,
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"I-Diagnostic_procedure": 55,
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"I-Disease_disorder": 56,
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"I-Distance": 57,
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"I-Dosage": 58,
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"I-Duration": 59,
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"I-Family_history": 60,
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"I-Frequency": 61,
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"I-Height": 62,
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"I-History": 63,
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"I-Lab_value": 64,
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"I-Mass": 65,
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"I-Medication": 66,
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"I-Nonbiological_location": 67,
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"I-Occupation": 68,
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"I-Other_entity": 69,
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"I-Other_event": 70,
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"I-Outcome": 71,
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"I-Personal_background": 72,
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"I-Qualitative_concept": 73,
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"I-Quantitative_concept": 74,
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"I-Severity": 75,
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"I-Shape": 76,
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"I-Sign_symptom": 77,
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"I-Subject": 78,
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"I-Texture": 79,
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"I-Therapeutic_procedure": 80,
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"I-Time": 81,
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"I-Volume": 82,
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"I-Weight": 83,
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"O": 0
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},
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"n_heads": 12,
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"n_layers": 6,
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"pad_token_id": 0,
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.20.1",
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"vocab_size": 30522
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b027673a3307002bc2c34795e627691e1a0b906ee3480036fb9a5b06d269f547
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size 265743541
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special_tokens_map.json
ADDED
@@ -0,0 +1,7 @@
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer.json
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The diff for this file is too large to render.
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tokenizer_config.json
ADDED
@@ -0,0 +1,15 @@
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{
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"cls_token": "[CLS]",
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"cuda": 0,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"name_or_path": "distilbert-base-uncased",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"special_tokens_map_file": null,
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "DistilBertTokenizer",
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"unk_token": "[UNK]"
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}
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vocab.txt
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The diff for this file is too large to render.
See raw diff
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