Upload DistilBertForSequenceClassificationWithWeights

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
+
+### Model Description
+
+<!-- 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]
+- **Funded by [optional]:** [More Information Needed]
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+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
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+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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+[More Information Needed]
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+### Downstream Use [optional]
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+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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+[More Information Needed]
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+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
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+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
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+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
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+[More Information Needed]
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+**APA:**
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+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
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+## Model Card Authors [optional]
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+[More Information Needed]
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+## Model Card Contact
+
+[More Information Needed]

config.json

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+{
+  "_name_or_path": "distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassificationWithWeights"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "El Corte Ingl\u00e9s",
+    "1": "Ernsting's family",
+    "2": "Etihad Airways",
+    "3": "Circle K",
+    "4": "Exxon",
+    "5": "Easy Apotheke",
+    "6": "Espresso House",
+    "7": "Fabryka Formy",
+    "8": "Feu Vert",
+    "9": "Firehouse Subs",
+    "10": "Fitness Park",
+    "11": "Five Below",
+    "12": "Five Guys",
+    "13": "Fix My Phone",
+    "14": "Flying Tiger",
+    "15": "Foot Locker",
+    "16": "Giunti al Punto",
+    "17": "Google Cloud",
+    "18": "Guitar Center",
+    "19": "Half Price Books",
+    "20": "Harris Teeter",
+    "21": "Hellenic Bank",
+    "22": "Help Net",
+    "23": "Heron Foods",
+    "24": "1 Minute",
+    "25": "100 Montaditos",
+    "26": "Taco Bell",
+    "27": "123 Reg",
+    "28": "Maxi Zoo",
+    "29": "DATS 24",
+    "30": "Pret A Manger",
+    "31": "El Pollo Loco",
+    "32": "Burger King",
+    "33": "APCOA Parking",
+    "34": "Costa Coffee",
+    "35": "Albert Heijn",
+    "36": "Abu Auf",
+    "37": "Ibis Budget",
+    "38": "Ibis Styles",
+    "39": "Air Serbia",
+    "40": "Al Maha Petroleum",
+    "41": "Aleman Experto",
+    "42": "Amazon Prime",
+    "43": "Andy's Pizza Moldova",
+    "44": "Angel Hill Food Co.",
+    "45": "Alpha Taxis",
+    "46": "Amazon Music",
+    "47": "B+B Parkhaus",
+    "48": "Bafra Kebab",
+    "49": "Bamboo Blonde",
+    "50": "Banana Republic",
+    "51": "Bargain Booze",
+    "52": "Barra Chalaca",
+    "53": "BC Liquor Stores",
+    "54": "Best Buy",
+    "55": "Best Western",
+    "56": "Bijou Brigitte",
+    "57": "Bio Company",
+    "58": "Boka Food",
+    "59": "Boux Avenue",
+    "60": "Brewers Fayre",
+    "61": "Brico OK",
+    "62": "Buffalo Wild Wings",
+    "63": "Panda Express",
+    "64": "Panera Bread",
+    "65": "Papa John's Pizza",
+    "66": "NOW TV",
+    "67": "Just Eat",
+    "68": "Phillips 66",
+    "69": "Piekarnia Hert",
+    "70": "Pingo Doce",
+    "71": "Piraeus Bank",
+    "72": "Pizza Express",
+    "73": "Pizza Hut",
+    "74": "PKP Intercity",
+    "75": "Pollo Campero",
+    "76": "Swiss Post",
+    "77": "Pottery Barn",
+    "78": "Premier Inn",
+    "79": "Proxy Delhaize",
+    "80": "Pets Corner",
+    "81": "Poczta Polska",
+    "82": "Qatar Airways",
+    "83": "Rail Europe",
+    "84": "REMA 1000",
+    "85": "River Island",
+    "86": "Ross Stores",
+    "87": "Royal Mail",
+    "88": "Shake Shack",
+    "89": "Boot Barn",
+    "90": "B\u00e4ckerei Fuchs",
+    "91": "Calvin Klein",
+    "92": "Cannon Home",
+    "93": "Carrefour City",
+    "94": "Carrefour Express",
+    "95": "Carrefour Market",
+    "96": "Cash Converters Shopping",
+    "97": "North Data",
+    "98": "Coffee Fellows",
+    "99": "Coles Express",
+    "100": "CVS Pharmacy",
+    "101": "LC Waikiki",
+    "102": "Leroy Merlin",
+    "103": "LinkedIn Ads",
+    "104": "Microsoft Store",
+    "105": "Southern Co-op",
+    "106": "Wizz Air",
+    "107": "Cumberland Farms",
+    "108": "Credit Engine",
+    "109": "Dairy Queen",
+    "110": "Das Futterhaus",
+    "111": "Der Brotmacher",
+    "112": "Deutsche Post",
+    "113": "Dollar General",
+    "114": "Domino's Pizza",
+    "115": "Dutch Bros",
+    "116": "Hilton Garden Inn Hotel",
+    "117": "Holiday Inn",
+    "118": "Home Bargains",
+    "119": "Hotel Silken",
+    "120": "Hyatt Regency",
+    "121": "Host Europe",
+    "122": "IC Cash",
+    "123": "ICA Kvantum",
+    "124": "ICA Supermarket",
+    "125": "iN's Mercato",
+    "126": "Inter Cars SA",
+    "127": "Irish Rail",
+    "128": "Jack In The Box",
+    "129": "Jack Wolfskin",
+    "130": "JD Sports",
+    "131": "Jean Coutu",
+    "132": "Jean Louis David",
+    "133": "K Kiosk",
+    "134": "Kall Kwik",
+    "135": "KFC",
+    "136": "KK Super Mart",
+    "137": "Uber Eats",
+    "138": "Krispy Kreme",
+    "139": "Kwik Trip",
+    "140": "La Despensa",
+    "141": "La Poste",
+    "142": "LAZ Parking",
+    "143": "Little Caesars",
+    "144": "Lojas Renner",
+    "145": "Market Basket",
+    "146": "MDP Supplies",
+    "147": "Michael Kors",
+    "148": "Microsoft Ads",
+    "149": "Min K\u00f8bmand",
+    "150": "Mix Markt",
+    "151": "Shoppers Drug Mart",
+    "152": "Smyths Toys",
+    "153": "Sonic Drive-In",
+    "154": "Sports Direct",
+    "155": "Sue Ryder",
+    "156": "Sunglass Hut",
+    "157": "Super U",
+    "158": "SV Schweiz",
+    "159": "Fitness First",
+    "160": "Free Mobile",
+    "161": "Free People",
+    "162": "Google Fi",
+    "163": "Half Price",
+    "164": "Super Zoo",
+    "165": "Planet Fitness",
+    "166": "A3D Chile",
+    "167": "Aer Lingus",
+    "168": "Air China",
+    "169": "Tim Hortons",
+    "170": "Black Eye Coffee",
+    "171": "Smoothie King",
+    "172": "Plaza Vea",
+    "173": "Pollo Tropical",
+    "174": "Public Storage",
+    "175": "Rip Curl",
+    "176": "Blizzard Entertainment",
+    "177": "Chuck E. Cheese",
+    "178": "Cinema City",
+    "179": "Coles Supermarket",
+    "180": "Cotton On",
+    "181": "Cotton Traders",
+    "182": "Just Gym",
+    "183": "MAX Burgers",
+    "184": "Motel One",
+    "185": "One Stop",
+    "186": "Turkish Airlines",
+    "187": "Disney Store",
+    "188": "Hush Puppies",
+    "189": "Kimia Farma Apotek",
+    "190": "Kamera Express",
+    "191": "Lager 157",
+    "192": "REWE",
+    "193": "Mountain Warehouse",
+    "194": "Shell",
+    "195": "Sport Clips",
+    "196": "Flying J",
+    "197": "Advance Auto Parts",
+    "198": "Air France",
+    "199": "Ann Summers",
+    "200": "Blaze Pizza",
+    "201": "Service NSW",
+    "202": "New Look",
+    "203": "Trader Joe's",
+    "204": "Drogeria Natura",
+    "205": "ITA Airways",
+    "206": "Moc Jakosc Zysk",
+    "207": "NP Markt",
+    "208": "GOL Linhas A\u00e9reas",
+    "209": "Gomla Market",
+    "210": "Alco Market",
+    "211": "Adagio Teas",
+    "212": "Paddy Power",
+    "213": "Denn's Biomarkt",
+    "214": "Call a Pizza",
+    "215": "Duane Reade",
+    "216": "Joe & The Juice",
+    "217": "Le Crobag",
+    "218": "Maison 123",
+    "219": "Smart Parking",
+    "220": "Supermercados La Torre",
+    "221": "Vivid Seats",
+    "222": "Cash App",
+    "223": "Delikatesy Centrum",
+    "224": "Dunnes Stores",
+    "225": "La Comer",
+    "226": "McDonald's",
+    "227": "Bali Tees",
+    "228": "Sky X",
+    "229": "Skyline Taxis",
+    "230": "Stacja Moya",
+    "231": "Tabak Polska",
+    "232": "Table Table",
+    "233": "Tally Weijl",
+    "234": "Texas Roadhouse",
+    "235": "The Entertainer",
+    "236": "The Fragrance Shop",
+    "237": "The Fresh Market",
+    "238": "The Home Depot",
+    "239": "The North Face",
+    "240": "The UPS Store",
+    "241": "TJ Maxx",
+    "242": "Toby Carvery",
+    "243": "Top Gift",
+    "244": "Topps Tiles",
+    "245": "Tops Pizza",
+    "246": "The Body Shop",
+    "247": "Urban Outfitters",
+    "248": "V and B",
+    "249": "Victoria's Secret",
+    "250": "Virgin Media",
+    "251": "Vision Express",
+    "252": "Village Hotels",
+    "253": "Well Pharmacy",
+    "254": "Whitbread Inns",
+    "255": "WMM Hotel Betriebs",
+    "256": "Yves Rocher",
+    "257": "Zara Home",
+    "258": "Ziko Apteka",
+    "259": "Mercedes me Store",
+    "260": "New Yorker",
+    "261": "New Balance",
+    "262": "Nur Hier",
+    "263": "Ochsner Sport",
+    "264": "Old Wild West",
+    "265": "OpenCor Vending",
+    "266": "Whole Foods Market",
+    "267": "Wine Rack",
+    "268": "Office Depot",
+    "269": "Pague Menos",
+    "270": "White Spot"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "1 Minute": 24,
+    "100 Montaditos": 25,
+    "123 Reg": 27,
+    "A3D Chile": 166,
+    "APCOA Parking": 33,
+    "Abu Auf": 36,
+    "Adagio Teas": 211,
+    "Advance Auto Parts": 197,
+    "Aer Lingus": 167,
+    "Air China": 168,
+    "Air France": 198,
+    "Air Serbia": 39,
+    "Al Maha Petroleum": 40,
+    "Albert Heijn": 35,
+    "Alco Market": 210,
+    "Aleman Experto": 41,
+    "Alpha Taxis": 45,
+    "Amazon Music": 46,
+    "Amazon Prime": 42,
+    "Andy's Pizza Moldova": 43,
+    "Angel Hill Food Co.": 44,
+    "Ann Summers": 199,
+    "B+B Parkhaus": 47,
+    "BC Liquor Stores": 53,
+    "Bafra Kebab": 48,
+    "Bali Tees": 227,
+    "Bamboo Blonde": 49,
+    "Banana Republic": 50,
+    "Bargain Booze": 51,
+    "Barra Chalaca": 52,
+    "Best Buy": 54,
+    "Best Western": 55,
+    "Bijou Brigitte": 56,
+    "Bio Company": 57,
+    "Black Eye Coffee": 170,
+    "Blaze Pizza": 200,
+    "Blizzard Entertainment": 176,
+    "Boka Food": 58,
+    "Boot Barn": 89,
+    "Boux Avenue": 59,
+    "Brewers Fayre": 60,
+    "Brico OK": 61,
+    "Buffalo Wild Wings": 62,
+    "Burger King": 32,
+    "B\u00e4ckerei Fuchs": 90,
+    "CVS Pharmacy": 100,
+    "Call a Pizza": 214,
+    "Calvin Klein": 91,
+    "Cannon Home": 92,
+    "Carrefour City": 93,
+    "Carrefour Express": 94,
+    "Carrefour Market": 95,
+    "Cash App": 222,
+    "Cash Converters Shopping": 96,
+    "Chuck E. Cheese": 177,
+    "Cinema City": 178,
+    "Circle K": 3,
+    "Coffee Fellows": 98,
+    "Coles Express": 99,
+    "Coles Supermarket": 179,
+    "Costa Coffee": 34,
+    "Cotton On": 180,
+    "Cotton Traders": 181,
+    "Credit Engine": 108,
+    "Cumberland Farms": 107,
+    "DATS 24": 29,
+    "Dairy Queen": 109,
+    "Das Futterhaus": 110,
+    "Delikatesy Centrum": 223,
+    "Denn's Biomarkt": 213,
+    "Der Brotmacher": 111,
+    "Deutsche Post": 112,
+    "Disney Store": 187,
+    "Dollar General": 113,
+    "Domino's Pizza": 114,
+    "Drogeria Natura": 204,
+    "Duane Reade": 215,
+    "Dunnes Stores": 224,
+    "Dutch Bros": 115,
+    "Easy Apotheke": 5,
+    "El Corte Ingl\u00e9s": 0,
+    "El Pollo Loco": 31,
+    "Ernsting's family": 1,
+    "Espresso House": 6,
+    "Etihad Airways": 2,
+    "Exxon": 4,
+    "Fabryka Formy": 7,
+    "Feu Vert": 8,
+    "Firehouse Subs": 9,
+    "Fitness First": 159,
+    "Fitness Park": 10,
+    "Five Below": 11,
+    "Five Guys": 12,
+    "Fix My Phone": 13,
+    "Flying J": 196,
+    "Flying Tiger": 14,
+    "Foot Locker": 15,
+    "Free Mobile": 160,
+    "Free People": 161,
+    "GOL Linhas A\u00e9reas": 208,
+    "Giunti al Punto": 16,
+    "Gomla Market": 209,
+    "Google Cloud": 17,
+    "Google Fi": 162,
+    "Guitar Center": 18,
+    "Half Price": 163,
+    "Half Price Books": 19,
+    "Harris Teeter": 20,
+    "Hellenic Bank": 21,
+    "Help Net": 22,
+    "Heron Foods": 23,
+    "Hilton Garden Inn Hotel": 116,
+    "Holiday Inn": 117,
+    "Home Bargains": 118,
+    "Host Europe": 121,
+    "Hotel Silken": 119,
+    "Hush Puppies": 188,
+    "Hyatt Regency": 120,
+    "IC Cash": 122,
+    "ICA Kvantum": 123,
+    "ICA Supermarket": 124,
+    "ITA Airways": 205,
+    "Ibis Budget": 37,
+    "Ibis Styles": 38,
+    "Inter Cars SA": 126,
+    "Irish Rail": 127,
+    "JD Sports": 130,
+    "Jack In The Box": 128,
+    "Jack Wolfskin": 129,
+    "Jean Coutu": 131,
+    "Jean Louis David": 132,
+    "Joe & The Juice": 216,
+    "Just Eat": 67,
+    "Just Gym": 182,
+    "K Kiosk": 133,
+    "KFC": 135,
+    "KK Super Mart": 136,
+    "Kall Kwik": 134,
+    "Kamera Express": 190,
+    "Kimia Farma Apotek": 189,
+    "Krispy Kreme": 138,
+    "Kwik Trip": 139,
+    "LAZ Parking": 142,
+    "LC Waikiki": 101,
+    "La Comer": 225,
+    "La Despensa": 140,
+    "La Poste": 141,
+    "Lager 157": 191,
+    "Le Crobag": 217,
+    "Leroy Merlin": 102,
+    "LinkedIn Ads": 103,
+    "Little Caesars": 143,
+    "Lojas Renner": 144,
+    "MAX Burgers": 183,
+    "MDP Supplies": 146,
+    "Maison 123": 218,
+    "Market Basket": 145,
+    "Maxi Zoo": 28,
+    "McDonald's": 226,
+    "Mercedes me Store": 259,
+    "Michael Kors": 147,
+    "Microsoft Ads": 148,
+    "Microsoft Store": 104,
+    "Min K\u00f8bmand": 149,
+    "Mix Markt": 150,
+    "Moc Jakosc Zysk": 206,
+    "Motel One": 184,
+    "Mountain Warehouse": 193,
+    "NOW TV": 66,
+    "NP Markt": 207,
+    "New Balance": 261,
+    "New Look": 202,
+    "New Yorker": 260,
+    "North Data": 97,
+    "Nur Hier": 262,
+    "Ochsner Sport": 263,
+    "Office Depot": 268,
+    "Old Wild West": 264,
+    "One Stop": 185,
+    "OpenCor Vending": 265,
+    "PKP Intercity": 74,
+    "Paddy Power": 212,
+    "Pague Menos": 269,
+    "Panda Express": 63,
+    "Panera Bread": 64,
+    "Papa John's Pizza": 65,
+    "Pets Corner": 80,
+    "Phillips 66": 68,
+    "Piekarnia Hert": 69,
+    "Pingo Doce": 70,
+    "Piraeus Bank": 71,
+    "Pizza Express": 72,
+    "Pizza Hut": 73,
+    "Planet Fitness": 165,
+    "Plaza Vea": 172,
+    "Poczta Polska": 81,
+    "Pollo Campero": 75,
+    "Pollo Tropical": 173,
+    "Pottery Barn": 77,
+    "Premier Inn": 78,
+    "Pret A Manger": 30,
+    "Proxy Delhaize": 79,
+    "Public Storage": 174,
+    "Qatar Airways": 82,
+    "REMA 1000": 84,
+    "REWE": 192,
+    "Rail Europe": 83,
+    "Rip Curl": 175,
+    "River Island": 85,
+    "Ross Stores": 86,
+    "Royal Mail": 87,
+    "SV Schweiz": 158,
+    "Service NSW": 201,
+    "Shake Shack": 88,
+    "Shell": 194,
+    "Shoppers Drug Mart": 151,
+    "Sky X": 228,
+    "Skyline Taxis": 229,
+    "Smart Parking": 219,
+    "Smoothie King": 171,
+    "Smyths Toys": 152,
+    "Sonic Drive-In": 153,
+    "Southern Co-op": 105,
+    "Sport Clips": 195,
+    "Sports Direct": 154,
+    "Stacja Moya": 230,
+    "Sue Ryder": 155,
+    "Sunglass Hut": 156,
+    "Super U": 157,
+    "Super Zoo": 164,
+    "Supermercados La Torre": 220,
+    "Swiss Post": 76,
+    "TJ Maxx": 241,
+    "Tabak Polska": 231,
+    "Table Table": 232,
+    "Taco Bell": 26,
+    "Tally Weijl": 233,
+    "Texas Roadhouse": 234,
+    "The Body Shop": 246,
+    "The Entertainer": 235,
+    "The Fragrance Shop": 236,
+    "The Fresh Market": 237,
+    "The Home Depot": 238,
+    "The North Face": 239,
+    "The UPS Store": 240,
+    "Tim Hortons": 169,
+    "Toby Carvery": 242,
+    "Top Gift": 243,
+    "Topps Tiles": 244,
+    "Tops Pizza": 245,
+    "Trader Joe's": 203,
+    "Turkish Airlines": 186,
+    "Uber Eats": 137,
+    "Urban Outfitters": 247,
+    "V and B": 248,
+    "Victoria's Secret": 249,
+    "Village Hotels": 252,
+    "Virgin Media": 250,
+    "Vision Express": 251,
+    "Vivid Seats": 221,
+    "WMM Hotel Betriebs": 255,
+    "Well Pharmacy": 253,
+    "Whitbread Inns": 254,
+    "White Spot": 270,
+    "Whole Foods Market": 266,
+    "Wine Rack": 267,
+    "Wizz Air": 106,
+    "Yves Rocher": 256,
+    "Zara Home": 257,
+    "Ziko Apteka": 258,
+    "iN's Mercato": 125
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.3",
+  "vocab_size": 30522
+}

model.safetensors

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