Upload LayoutLMv3ForTokenClassification

README.md

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+---
+library_name: transformers
+tags: []
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
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+### Model Description
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+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
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+## Uses
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+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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config.json

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+{
+  "_name_or_path": "/Users/sanjay.kumar/Data Science/layoutlm-token-clf/prod-checkpoint",
+  "architectures": [
+    "LayoutLMv3ForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "coordinate_size": 128,
+  "doctype_entities": {
+    "CONSENT FORM": [
+      "age",
+      "date",
+      "dos",
+      "mrn",
+      "patient-account-number",
+      "patient-dob",
+      "patient-name",
+      "relationship-to-patient",
+      "sex"
+    ],
+    "FACE SHEET": [
+      "accom",
+      "adm-clerk",
+      "admit-physician",
+      "admit-source",
+      "age",
+      "attending-physician",
+      "dos",
+      "e-mail",
+      "emp-phone",
+      "employer",
+      "employer-address",
+      "fin-class",
+      "guarantor-address",
+      "guarantor-emp-ph",
+      "guarantor-employer",
+      "guarantor-name",
+      "guarantor-phone-no",
+      "guarantor-ss",
+      "martial-st",
+      "mrn",
+      "next-of-kin",
+      "nok-address",
+      "nok-phone",
+      "patient-account-number",
+      "patient-address",
+      "patient-dob",
+      "patient-name",
+      "patient-phone",
+      "person-notify-address",
+      "person-notify-phone",
+      "person-to-notify",
+      "primary-care-doctor",
+      "pt-status",
+      "race",
+      "reason-for-visit",
+      "relationship",
+      "religion",
+      "room-bed",
+      "serv-loc",
+      "sex",
+      "ss",
+      "time"
+    ],
+    "History and Physical": [
+      "allergies",
+      "chief-complaint",
+      "corrected-copy",
+      "date-dictated",
+      "date-transcribed",
+      "dictating-physician",
+      "dos",
+      "electronically-signed-by-doctor",
+      "family-history",
+      "history-number",
+      "history-of-present-illness",
+      "immunizations",
+      "impression",
+      "medical-history",
+      "medications",
+      "patient-dob",
+      "patient-name",
+      "patient-number",
+      "plan",
+      "review-of-systems",
+      "social-history"
+    ],
+    "Request for Release of Information": [
+      "hospital-name",
+      "mrn",
+      "patient-account-number",
+      "patient-dob",
+      "patient-name",
+      "purpose-of-request"
+    ],
+    "discharge_summary": [
+      "admission-date",
+      "admitting-diagnosis",
+      "age",
+      "cc",
+      "condition-at-discharge",
+      "consultations",
+      "cosigned-date-time",
+      "date-dictated",
+      "date-transcribed",
+      "dictating-physician",
+      "discharge-date",
+      "discharge-diagnosis",
+      "disposition",
+      "electronically-signed-by-doctor",
+      "home-medications",
+      "mrn",
+      "patient-account-number",
+      "patient-dob",
+      "patient-name",
+      "primary-care-doctor",
+      "problems-reviewed",
+      "referrals",
+      "report-number",
+      "sex",
+      "signed-date-time",
+      "transcriptionist"
+    ]
+  },
+  "eos_token_id": 2,
+  "has_relative_attention_bias": true,
+  "has_spatial_attention_bias": true,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "B-accom",
+    "2": "B-adm-clerk",
+    "3": "B-admission-date",
+    "4": "B-admit-physician",
+    "5": "B-admit-source",
+    "6": "B-admitting-diagnosis",
+    "7": "B-age",
+    "8": "B-allergies",
+    "9": "B-attending-physician",
+    "10": "B-cc",
+    "11": "B-chief-complaint",
+    "12": "B-condition-at-discharge",
+    "13": "B-consultations",
+    "14": "B-corrected-copy",
+    "15": "B-cosigned-date-time",
+    "16": "B-date",
+    "17": "B-date-dictated",
+    "18": "B-date-transcribed",
+    "19": "B-dictating-physician",
+    "20": "B-discharge-date",
+    "21": "B-discharge-diagnosis",
+    "22": "B-disposition",
+    "23": "B-dos",
+    "24": "B-e-mail",
+    "25": "B-electronically-signed-by-doctor",
+    "26": "B-emp-phone",
+    "27": "B-employer",
+    "28": "B-employer-address",
+    "29": "B-family-history",
+    "30": "B-fin-class",
+    "31": "B-guarantor-address",
+    "32": "B-guarantor-emp-ph",
+    "33": "B-guarantor-employer",
+    "34": "B-guarantor-name",
+    "35": "B-guarantor-phone-no",
+    "36": "B-guarantor-ss",
+    "37": "B-history-number",
+    "38": "B-history-of-present-illness",
+    "39": "B-home-medications",
+    "40": "B-hospital-name",
+    "41": "B-immunizations",
+    "42": "B-impression",
+    "43": "B-martial-st",
+    "44": "B-medical-history",
+    "45": "B-medications",
+    "46": "B-mrn",
+    "47": "B-next-of-kin",
+    "48": "B-nok-address",
+    "49": "B-nok-phone",
+    "50": "B-patient-account-number",
+    "51": "B-patient-address",
+    "52": "B-patient-dob",
+    "53": "B-patient-name",
+    "54": "B-patient-number",
+    "55": "B-patient-phone",
+    "56": "B-person-notify-address",
+    "57": "B-person-notify-phone",
+    "58": "B-person-to-notify",
+    "59": "B-plan",
+    "60": "B-primary-care-doctor",
+    "61": "B-problems-reviewed",
+    "62": "B-pt-status",
+    "63": "B-purpose-of-request",
+    "64": "B-race",
+    "65": "B-reason-for-visit",
+    "66": "B-referrals",
+    "67": "B-relationship",
+    "68": "B-relationship-to-patient",
+    "69": "B-religion",
+    "70": "B-report-number",
+    "71": "B-review-of-systems",
+    "72": "B-room-bed",
+    "73": "B-serv-loc",
+    "74": "B-sex",
+    "75": "B-signed-date-time",
+    "76": "B-social-history",
+    "77": "B-ss",
+    "78": "B-time",
+    "79": "B-transcriptionist"
+  },
+  "initializer_range": 0.02,
+  "input_size": 224,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-accom": 1,
+    "B-adm-clerk": 2,
+    "B-admission-date": 3,
+    "B-admit-physician": 4,
+    "B-admit-source": 5,
+    "B-admitting-diagnosis": 6,
+    "B-age": 7,
+    "B-allergies": 8,
+    "B-attending-physician": 9,
+    "B-cc": 10,
+    "B-chief-complaint": 11,
+    "B-condition-at-discharge": 12,
+    "B-consultations": 13,
+    "B-corrected-copy": 14,
+    "B-cosigned-date-time": 15,
+    "B-date": 16,
+    "B-date-dictated": 17,
+    "B-date-transcribed": 18,
+    "B-dictating-physician": 19,
+    "B-discharge-date": 20,
+    "B-discharge-diagnosis": 21,
+    "B-disposition": 22,
+    "B-dos": 23,
+    "B-e-mail": 24,
+    "B-electronically-signed-by-doctor": 25,
+    "B-emp-phone": 26,
+    "B-employer": 27,
+    "B-employer-address": 28,
+    "B-family-history": 29,
+    "B-fin-class": 30,
+    "B-guarantor-address": 31,
+    "B-guarantor-emp-ph": 32,
+    "B-guarantor-employer": 33,
+    "B-guarantor-name": 34,
+    "B-guarantor-phone-no": 35,
+    "B-guarantor-ss": 36,
+    "B-history-number": 37,
+    "B-history-of-present-illness": 38,
+    "B-home-medications": 39,
+    "B-hospital-name": 40,
+    "B-immunizations": 41,
+    "B-impression": 42,
+    "B-martial-st": 43,
+    "B-medical-history": 44,
+    "B-medications": 45,
+    "B-mrn": 46,
+    "B-next-of-kin": 47,
+    "B-nok-address": 48,
+    "B-nok-phone": 49,
+    "B-patient-account-number": 50,
+    "B-patient-address": 51,
+    "B-patient-dob": 52,
+    "B-patient-name": 53,
+    "B-patient-number": 54,
+    "B-patient-phone": 55,
+    "B-person-notify-address": 56,
+    "B-person-notify-phone": 57,
+    "B-person-to-notify": 58,
+    "B-plan": 59,
+    "B-primary-care-doctor": 60,
+    "B-problems-reviewed": 61,
+    "B-pt-status": 62,
+    "B-purpose-of-request": 63,
+    "B-race": 64,
+    "B-reason-for-visit": 65,
+    "B-referrals": 66,
+    "B-relationship": 67,
+    "B-relationship-to-patient": 68,
+    "B-religion": 69,
+    "B-report-number": 70,
+    "B-review-of-systems": 71,
+    "B-room-bed": 72,
+    "B-serv-loc": 73,
+    "B-sex": 74,
+    "B-signed-date-time": 75,
+    "B-social-history": 76,
+    "B-ss": 77,
+    "B-time": 78,
+    "B-transcriptionist": 79,
+    "O": 0
+  },
+  "layer_norm_eps": 1e-05,
+  "max_2d_position_embeddings": 1024,
+  "max_position_embeddings": 514,
+  "max_rel_2d_pos": 256,
+  "max_rel_pos": 128,
+  "model_type": "layoutlmv3",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "patch_size": 16,
+  "rel_2d_pos_bins": 64,
+  "rel_pos_bins": 32,
+  "second_input_size": 112,
+  "shape_size": 128,
+  "text_embed": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "type_vocab_size": 1,
+  "visual_embed": true,
+  "vocab_size": 50265
+}

model.safetensors

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