Commit From AutoTrain

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.tar.gz filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+tags: autotrain
+language: en
+widget:
+- text: "I love AutoTrain 🤗"
+datasets:
+- xInsignia/autotrain-data-Online_orders-5cf92320
+co2_eq_emissions: 2.4120667129093043
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 755323156
+- CO2 Emissions (in grams): 2.4120667129093043
+
+## Validation Metrics
+
+- Loss: 0.17826060950756073
+- Accuracy: 0.9550898203592815
+- Macro F1: 0.8880388927888968
+- Micro F1: 0.9550898203592815
+- Weighted F1: 0.9528256324309916
+- Macro Precision: 0.9093073732635162
+- Micro Precision: 0.9550898203592815
+- Weighted Precision: 0.9533674643333371
+- Macro Recall: 0.8872729481745715
+- Micro Recall: 0.9550898203592815
+- Weighted Recall: 0.9550898203592815
+
+
+## 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 AutoTrain"}' https://api-inference.huggingface.co/models/xInsignia/autotrain-Online_orders-755323156
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("xInsignia/autotrain-Online_orders-755323156", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("xInsignia/autotrain-Online_orders-755323156", use_auth_token=True)
+
+inputs = tokenizer("I love AutoTrain", return_tensors="pt")
+
+outputs = model(**inputs)
+```

config.json

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+{
+  "_name_or_path": "AutoTrain",
+  "_num_labels": 37,
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "bookflight",
+    "1": "changeorder",
+    "2": "changeseatassignment",
+    "3": "checkbalance",
+    "4": "checkclaimstatus",
+    "5": "checkoffereligibility",
+    "6": "checkserverstatus",
+    "7": "closeaccount",
+    "8": "disputecharge",
+    "9": "expensereport",
+    "10": "getboardingpass",
+    "11": "getinformationintent",
+    "12": "getpromotions",
+    "13": "getproofofinsurance",
+    "14": "getroutingnumber",
+    "15": "getseatinfo",
+    "16": "orderbreakfastintent",
+    "17": "orderburgerintent",
+    "18": "orderchecks",
+    "19": "orderdessertintent",
+    "20": "orderdrinkintent",
+    "21": "orderpizzaintent",
+    "22": "ordersaladintent",
+    "23": "ordersideintent",
+    "24": "providereceipt",
+    "25": "replacecard",
+    "26": "reportbrokenphone",
+    "27": "reportbrokensoftware",
+    "28": "reportlostcard",
+    "29": "softwareupdate",
+    "30": "startorder",
+    "31": "startserviceintent",
+    "32": "stoporder",
+    "33": "transfermoney",
+    "34": "updateaddress",
+    "35": "upgradeserviceintent",
+    "36": "viewbillsintent"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "bookflight": 0,
+    "changeorder": 1,
+    "changeseatassignment": 2,
+    "checkbalance": 3,
+    "checkclaimstatus": 4,
+    "checkoffereligibility": 5,
+    "checkserverstatus": 6,
+    "closeaccount": 7,
+    "disputecharge": 8,
+    "expensereport": 9,
+    "getboardingpass": 10,
+    "getinformationintent": 11,
+    "getpromotions": 12,
+    "getproofofinsurance": 13,
+    "getroutingnumber": 14,
+    "getseatinfo": 15,
+    "orderbreakfastintent": 16,
+    "orderburgerintent": 17,
+    "orderchecks": 18,
+    "orderdessertintent": 19,
+    "orderdrinkintent": 20,
+    "orderpizzaintent": 21,
+    "ordersaladintent": 22,
+    "ordersideintent": 23,
+    "providereceipt": 24,
+    "replacecard": 25,
+    "reportbrokenphone": 26,
+    "reportbrokensoftware": 27,
+    "reportlostcard": 28,
+    "softwareupdate": 29,
+    "startorder": 30,
+    "startserviceintent": 31,
+    "stoporder": 32,
+    "transfermoney": 33,
+    "updateaddress": 34,
+    "upgradeserviceintent": 35,
+    "viewbillsintent": 36
+  },
+  "max_length": 64,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "output_past": true,
+  "pad_token_id": 0,
+  "padding": "max_length",
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": true,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.15.0",
+  "vocab_size": 28996
+}

pytorch_model.bin

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sample_input.pkl

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special_tokens_map.json

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

tokenizer_config.json

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+{"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, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "AutoTrain", "tokenizer_class": "DistilBertTokenizer"}