Text Classification
Transformers
Safetensors
English
legal-nlp
legal-bert
contract-analysis
clause-classification
legaltech
contractguard
Instructions to use AnuragBodkhe/contractguard-clause-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnuragBodkhe/contractguard-clause-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnuragBodkhe/contractguard-clause-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AnuragBodkhe/contractguard-clause-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 3,593 Bytes
4b458bc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 | {
"strategy": "document-level hash bucketing, seed chosen for label coverage",
"ratios": [
0.7,
0.15,
0.15
],
"seed": 42,
"documents": {
"train": 55289,
"validation": 11705,
"test": 11901
},
"examples": {
"train": 61483,
"validation": 13151,
"test": 13481
},
"label_distribution": {
"train": {
"OTHER": 11022,
"TERM_AND_DURATION": 2108,
"RENEWAL": 124,
"GOVERNING_LAW": 3195,
"EXCLUSIVITY": 525,
"NON_SOLICITATION": 89,
"ASSIGNMENT": 2005,
"PAYMENT": 3983,
"SCOPE_OF_WORK": 895,
"LICENSE_GRANT": 561,
"SURVIVAL": 1614,
"WARRANTY": 572,
"INSURANCE": 1388,
"DISPUTE_RESOLUTION": 3744,
"CHANGE_OF_CONTROL": 487,
"AUDIT_RIGHTS": 737,
"LIABILITY": 512,
"TERMINATION": 1640,
"NON_COMPETE": 241,
"INTELLECTUAL_PROPERTY": 679,
"PUBLICITY": 672,
"WAIVER": 1330,
"COMPLIANCE": 2306,
"COUNTERPARTS": 2269,
"INDEMNIFICATION": 1086,
"REPRESENTATIONS": 4611,
"WORKING_ARRANGEMENT": 572,
"ENTIRE_AGREEMENT": 2655,
"NOTICES": 2292,
"SEVERABILITY": 1988,
"TAXES": 1847,
"EXPENSES": 1206,
"AMENDMENT": 1592,
"CONFIDENTIALITY": 936
},
"validation": {
"OTHER": 2231,
"ASSIGNMENT": 456,
"TERM_AND_DURATION": 405,
"GOVERNING_LAW": 696,
"PAYMENT": 871,
"EXCLUSIVITY": 109,
"CHANGE_OF_CONTROL": 114,
"LICENSE_GRANT": 132,
"SURVIVAL": 358,
"DISPUTE_RESOLUTION": 844,
"NON_COMPETE": 61,
"NON_SOLICITATION": 23,
"TERMINATION": 353,
"SCOPE_OF_WORK": 185,
"INTELLECTUAL_PROPERTY": 157,
"AUDIT_RIGHTS": 164,
"LIABILITY": 170,
"WARRANTY": 133,
"INSURANCE": 324,
"RENEWAL": 23,
"PUBLICITY": 130,
"COUNTERPARTS": 481,
"COMPLIANCE": 510,
"EXPENSES": 262,
"REPRESENTATIONS": 959,
"ENTIRE_AGREEMENT": 556,
"WAIVER": 260,
"NOTICES": 458,
"TAXES": 418,
"CONFIDENTIALITY": 185,
"WORKING_ARRANGEMENT": 154,
"INDEMNIFICATION": 226,
"AMENDMENT": 343,
"SEVERABILITY": 400
},
"test": {
"OTHER": 2296,
"TERM_AND_DURATION": 493,
"GOVERNING_LAW": 714,
"LIABILITY": 128,
"INSURANCE": 244,
"RENEWAL": 41,
"TERMINATION": 374,
"ASSIGNMENT": 471,
"PAYMENT": 876,
"AUDIT_RIGHTS": 161,
"SCOPE_OF_WORK": 205,
"LICENSE_GRANT": 213,
"SURVIVAL": 328,
"NON_COMPETE": 47,
"EXCLUSIVITY": 118,
"CHANGE_OF_CONTROL": 113,
"INTELLECTUAL_PROPERTY": 167,
"DISPUTE_RESOLUTION": 871,
"PUBLICITY": 145,
"WARRANTY": 130,
"NON_SOLICITATION": 15,
"NOTICES": 480,
"REPRESENTATIONS": 974,
"COUNTERPARTS": 488,
"CONFIDENTIALITY": 177,
"ENTIRE_AGREEMENT": 576,
"AMENDMENT": 342,
"WAIVER": 335,
"WORKING_ARRANGEMENT": 110,
"INDEMNIFICATION": 235,
"COMPLIANCE": 509,
"TAXES": 400,
"EXPENSES": 289,
"SEVERABILITY": 416
}
},
"ungrouped_datasets": [
"LEDGAR"
],
"leakage_check": "PASS - no document id appears in more than one split",
"warnings": [
"No document grouping was available for: LEDGAR. Their examples were split individually, so metrics on those datasets may be optimistic relative to a true document-level split."
]
} |