Commit From AutoNLP

.gitattributes

@@ -15,3 +15,5 @@
 *.pt filter=lfs diff=lfs merge=lfs -text
 *.pth filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,50 @@
+---
+tags: autonlp
+language: it
+widget:
+- text: "I love AutoNLP 🤗"
+datasets:
+- mgrella/autonlp-data-bank-transaction-classification
+---
+
+# Model Trained Using AutoNLP
+
+- Problem type: Multi-class Classification
+- Model ID: 5521155
+
+## Validation Metrics
+
+- Loss: 1.3173143863677979
+- Accuracy: 0.8220706757594545
+- Macro F1: 0.5713688384455807
+- Micro F1: 0.8220706757594544
+- Weighted F1: 0.8217158913702755
+- Macro Precision: 0.6064387992817253
+- Micro Precision: 0.8220706757594545
+- Weighted Precision: 0.8491515834140735
+- Macro Recall: 0.5873349311175117
+- Micro Recall: 0.8220706757594545
+- Weighted Recall: 0.8220706757594545
+
+
+## Usage
+
+You can use cURL to access this model:
+
+```
+$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoNLP"}' https://api-inference.huggingface.co/models/mgrella/autonlp-bank-transaction-classification-5521155
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("mgrella/autonlp-bank-transaction-classification-5521155", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("mgrella/autonlp-bank-transaction-classification-5521155", use_auth_token=True)
+
+inputs = tokenizer("I love AutoNLP", return_tensors="pt")
+
+outputs = model(**inputs)
+```

config.json

@@ -0,0 +1,184 @@
+{
+  "_name_or_path": "AutoNLP",
+  "_num_labels": 76,
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Category.BILLS_SUBSCRIPTIONS_BILLS",
+    "1": "Category.BILLS_SUBSCRIPTIONS_INTERNET_PHONE",
+    "2": "Category.BILLS_SUBSCRIPTIONS_OTHER",
+    "3": "Category.BILLS_SUBSCRIPTIONS_SUBSCRIPTIONS",
+    "4": "Category.CREDIT_CARDS_CREDIT_CARDS",
+    "5": "Category.EATING_OUT_COFFEE_SHOPS",
+    "6": "Category.EATING_OUT_OTHER",
+    "7": "Category.EATING_OUT_RESTAURANTS",
+    "8": "Category.EATING_OUT_TAKEAWAY_RESTAURANTS",
+    "9": "Category.HEALTH_WELLNESS_AID_EXPENSES",
+    "10": "Category.HEALTH_WELLNESS_DRUGS",
+    "11": "Category.HEALTH_WELLNESS_GYMS",
+    "12": "Category.HEALTH_WELLNESS_MEDICAL_EXPENSES",
+    "13": "Category.HEALTH_WELLNESS_OTHER",
+    "14": "Category.HEALTH_WELLNESS_WELLNESS_RELAX",
+    "15": "Category.HOUSING_FAMILY_APPLIANCES",
+    "16": "Category.HOUSING_FAMILY_CHILDHOOD",
+    "17": "Category.HOUSING_FAMILY_FURNITURE",
+    "18": "Category.HOUSING_FAMILY_GROCERIES",
+    "19": "Category.HOUSING_FAMILY_INSURANCES",
+    "20": "Category.HOUSING_FAMILY_MAINTENANCE_RENOVATION",
+    "21": "Category.HOUSING_FAMILY_OTHER",
+    "22": "Category.HOUSING_FAMILY_RENTS",
+    "23": "Category.HOUSING_FAMILY_SERVANTS",
+    "24": "Category.HOUSING_FAMILY_VETERINARY",
+    "25": "Category.LEISURE_BOOKS",
+    "26": "Category.LEISURE_CINEMA",
+    "27": "Category.LEISURE_CLUB_ASSOCIATIONS",
+    "28": "Category.LEISURE_GAMBLING",
+    "29": "Category.LEISURE_MAGAZINES_NEWSPAPERS",
+    "30": "Category.LEISURE_MOVIES_MUSICS",
+    "31": "Category.LEISURE_OTHER",
+    "32": "Category.LEISURE_SPORT_EVENTS",
+    "33": "Category.LEISURE_THEATERS_CONCERTS",
+    "34": "Category.LEISURE_VIDEOGAMES",
+    "35": "Category.MORTGAGES_LOANS_LOANS",
+    "36": "Category.MORTGAGES_LOANS_MORTGAGES",
+    "37": "Category.OTHER_CASH",
+    "38": "Category.OTHER_CHECKS",
+    "39": "Category.OTHER_OTHER",
+    "40": "Category.PROFITS_PROFITS",
+    "41": "Category.SHOPPING_ACCESSORIZE",
+    "42": "Category.SHOPPING_CLOTHING",
+    "43": "Category.SHOPPING_FOOTWEAR",
+    "44": "Category.SHOPPING_HI_TECH",
+    "45": "Category.SHOPPING_OTHER",
+    "46": "Category.SHOPPING_SPORT_ARTICLES",
+    "47": "Category.TAXES_SERVICES_BANK_FEES",
+    "48": "Category.TAXES_SERVICES_DEFAULT_PAYMENTS",
+    "49": "Category.TAXES_SERVICES_MONEY_ORDERS",
+    "50": "Category.TAXES_SERVICES_OTHER",
+    "51": "Category.TAXES_SERVICES_PROFESSIONAL_ACTIVITY",
+    "52": "Category.TAXES_SERVICES_PROFIT_DEDUCTION",
+    "53": "Category.TAXES_SERVICES_TAXES",
+    "54": "Category.TRANSFERS_BANK_TRANSFERS",
+    "55": "Category.TRANSFERS_GIFTS_DONATIONS",
+    "56": "Category.TRANSFERS_INVESTMENTS",
+    "57": "Category.TRANSFERS_OTHER",
+    "58": "Category.TRANSFERS_REFUNDS",
+    "59": "Category.TRANSFERS_RENT_INCOMES",
+    "60": "Category.TRANSFERS_SAVINGS",
+    "61": "Category.TRAVELS_TRANSPORTATION_BUSES",
+    "62": "Category.TRAVELS_TRANSPORTATION_CAR_RENTAL",
+    "63": "Category.TRAVELS_TRANSPORTATION_FLIGHTS",
+    "64": "Category.TRAVELS_TRANSPORTATION_FUEL",
+    "65": "Category.TRAVELS_TRANSPORTATION_HOTELS",
+    "66": "Category.TRAVELS_TRANSPORTATION_OTHER",
+    "67": "Category.TRAVELS_TRANSPORTATION_PARKING_URBAN_TRANSPORTS",
+    "68": "Category.TRAVELS_TRANSPORTATION_TAXIS",
+    "69": "Category.TRAVELS_TRANSPORTATION_TOLLS",
+    "70": "Category.TRAVELS_TRANSPORTATION_TRAINS",
+    "71": "Category.TRAVELS_TRANSPORTATION_TRAVELS_HOLIDAYS",
+    "72": "Category.TRAVELS_TRANSPORTATION_VEHICLE_MAINTENANCE",
+    "73": "Category.WAGES_PENSION",
+    "74": "Category.WAGES_PROFESSIONAL_COMPENSATION",
+    "75": "Category.WAGES_SALARY"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Category.BILLS_SUBSCRIPTIONS_BILLS": 0,
+    "Category.BILLS_SUBSCRIPTIONS_INTERNET_PHONE": 1,
+    "Category.BILLS_SUBSCRIPTIONS_OTHER": 2,
+    "Category.BILLS_SUBSCRIPTIONS_SUBSCRIPTIONS": 3,
+    "Category.CREDIT_CARDS_CREDIT_CARDS": 4,
+    "Category.EATING_OUT_COFFEE_SHOPS": 5,
+    "Category.EATING_OUT_OTHER": 6,
+    "Category.EATING_OUT_RESTAURANTS": 7,
+    "Category.EATING_OUT_TAKEAWAY_RESTAURANTS": 8,
+    "Category.HEALTH_WELLNESS_AID_EXPENSES": 9,
+    "Category.HEALTH_WELLNESS_DRUGS": 10,
+    "Category.HEALTH_WELLNESS_GYMS": 11,
+    "Category.HEALTH_WELLNESS_MEDICAL_EXPENSES": 12,
+    "Category.HEALTH_WELLNESS_OTHER": 13,
+    "Category.HEALTH_WELLNESS_WELLNESS_RELAX": 14,
+    "Category.HOUSING_FAMILY_APPLIANCES": 15,
+    "Category.HOUSING_FAMILY_CHILDHOOD": 16,
+    "Category.HOUSING_FAMILY_FURNITURE": 17,
+    "Category.HOUSING_FAMILY_GROCERIES": 18,
+    "Category.HOUSING_FAMILY_INSURANCES": 19,
+    "Category.HOUSING_FAMILY_MAINTENANCE_RENOVATION": 20,
+    "Category.HOUSING_FAMILY_OTHER": 21,
+    "Category.HOUSING_FAMILY_RENTS": 22,
+    "Category.HOUSING_FAMILY_SERVANTS": 23,
+    "Category.HOUSING_FAMILY_VETERINARY": 24,
+    "Category.LEISURE_BOOKS": 25,
+    "Category.LEISURE_CINEMA": 26,
+    "Category.LEISURE_CLUB_ASSOCIATIONS": 27,
+    "Category.LEISURE_GAMBLING": 28,
+    "Category.LEISURE_MAGAZINES_NEWSPAPERS": 29,
+    "Category.LEISURE_MOVIES_MUSICS": 30,
+    "Category.LEISURE_OTHER": 31,
+    "Category.LEISURE_SPORT_EVENTS": 32,
+    "Category.LEISURE_THEATERS_CONCERTS": 33,
+    "Category.LEISURE_VIDEOGAMES": 34,
+    "Category.MORTGAGES_LOANS_LOANS": 35,
+    "Category.MORTGAGES_LOANS_MORTGAGES": 36,
+    "Category.OTHER_CASH": 37,
+    "Category.OTHER_CHECKS": 38,
+    "Category.OTHER_OTHER": 39,
+    "Category.PROFITS_PROFITS": 40,
+    "Category.SHOPPING_ACCESSORIZE": 41,
+    "Category.SHOPPING_CLOTHING": 42,
+    "Category.SHOPPING_FOOTWEAR": 43,
+    "Category.SHOPPING_HI_TECH": 44,
+    "Category.SHOPPING_OTHER": 45,
+    "Category.SHOPPING_SPORT_ARTICLES": 46,
+    "Category.TAXES_SERVICES_BANK_FEES": 47,
+    "Category.TAXES_SERVICES_DEFAULT_PAYMENTS": 48,
+    "Category.TAXES_SERVICES_MONEY_ORDERS": 49,
+    "Category.TAXES_SERVICES_OTHER": 50,
+    "Category.TAXES_SERVICES_PROFESSIONAL_ACTIVITY": 51,
+    "Category.TAXES_SERVICES_PROFIT_DEDUCTION": 52,
+    "Category.TAXES_SERVICES_TAXES": 53,
+    "Category.TRANSFERS_BANK_TRANSFERS": 54,
+    "Category.TRANSFERS_GIFTS_DONATIONS": 55,
+    "Category.TRANSFERS_INVESTMENTS": 56,
+    "Category.TRANSFERS_OTHER": 57,
+    "Category.TRANSFERS_REFUNDS": 58,
+    "Category.TRANSFERS_RENT_INCOMES": 59,
+    "Category.TRANSFERS_SAVINGS": 60,
+    "Category.TRAVELS_TRANSPORTATION_BUSES": 61,
+    "Category.TRAVELS_TRANSPORTATION_CAR_RENTAL": 62,
+    "Category.TRAVELS_TRANSPORTATION_FLIGHTS": 63,
+    "Category.TRAVELS_TRANSPORTATION_FUEL": 64,
+    "Category.TRAVELS_TRANSPORTATION_HOTELS": 65,
+    "Category.TRAVELS_TRANSPORTATION_OTHER": 66,
+    "Category.TRAVELS_TRANSPORTATION_PARKING_URBAN_TRANSPORTS": 67,
+    "Category.TRAVELS_TRANSPORTATION_TAXIS": 68,
+    "Category.TRAVELS_TRANSPORTATION_TOLLS": 69,
+    "Category.TRAVELS_TRANSPORTATION_TRAINS": 70,
+    "Category.TRAVELS_TRANSPORTATION_TRAVELS_HOLIDAYS": 71,
+    "Category.TRAVELS_TRANSPORTATION_VEHICLE_MAINTENANCE": 72,
+    "Category.WAGES_PENSION": 73,
+    "Category.WAGES_PROFESSIONAL_COMPENSATION": 74,
+    "Category.WAGES_SALARY": 75
+  },
+  "layer_norm_eps": 1e-12,
+  "max_length": 128,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "padding": "max_length",
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "transformers_version": "4.8.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 31102
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b92cfafbd6c395ed369093d0ce7b245ef31cea49e5530c4498404649d9126520
+size 440028589

sample_input.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7325f0307f603c09f4754ea890ac4f88c6415bdc269046f1a697bc5d49fb7e69
+size 4384

special_tokens_map.json

@@ -0,0 +1 @@
+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

tokenizer_config.json

@@ -0,0 +1 @@
+{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "max_len": 512, "special_tokens_map_file": null, "name_or_path": "AutoNLP", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "BertTokenizer"}