bookflight changeorder changeseatassignment checkbalance checkclaimstatus checkoffereligibility checkserverstatus closeaccount disputecharge expensereport getboardingpass getinformationintent getpromotions getproofofinsurance getroutingnumber getseatinfo orderbreakfastintent orderburgerintent orderchecks orderdessertintent orderdrinkintent orderpizzaintent ordersaladintent ordersideintent providereceipt replacecard reportbrokenphone reportbrokensoftware reportlostcard softwareupdate startorder startserviceintent stoporder transfermoney updateaddress upgradeserviceintent viewbillsintent
---
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)
```