
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1071537591
- CO2 Emissions (in grams): 0.03985401798934018

## Validation Metrics

- Loss: 0.5283975601196289
- Accuracy: 0.7389705882352942
- Precision: 0.5032894736842105
- Recall: 0.3574766355140187
- AUC: 0.7135599403856304
- F1: 0.41803278688524587

## 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/Luojike/autotrain-test_3-1071537591
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Luojike/autotrain-test_3-1071537591", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Luojike/autotrain-test_3-1071537591", use_auth_token=True)

inputs = tokenizer("I love AutoTrain", return_tensors="pt")

outputs = model(**inputs)
```
{"language": "unk", "tags": "autotrain", "datasets": ["Luojike/autotrain-data-test_3"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": 0.03985401798934018}
transformers pytorch bert text-classification autotrain unk dataset:Luojike/autotrain-data-test_3 co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #autotrain #unk #dataset-Luojike/autotrain-data-test_3 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1071537591
- CO2 Emissions (in grams): 0.03985401798934018

## Validation Metrics

- Loss: 0.5283975601196289
- Accuracy: 0.7389705882352942
- Precision: 0.5032894736842105
- Recall: 0.3574766355140187
- AUC: 0.7135599403856304
- F1: 0.41803278688524587

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1071537591
- CO2 Emissions (in grams): 0.03985401798934018 ## Validation Metrics

- Loss: 0.5283975601196289
- Accuracy: 0.7389705882352942
- Precision: 0.5032894736842105
- Recall: 0.3574766355140187
- AUC: 0.7135599403856304
- F1: 0.41803278688524587 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #bert #text-classification #autotrain #unk #dataset-Luojike/autotrain-data-test_3 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1071537591
- CO2 Emissions (in grams): 0.03985401798934018 ## Validation Metrics

- Loss: 0.5283975601196289
- Accuracy: 0.7389705882352942
- Precision: 0.5032894736842105
- Recall: 0.3574766355140187
- AUC: 0.7135599403856304
- F1: 0.41803278688524587 ## Usage

You can use cURL to access this model:



Or Python API:
passage: TAGS
#transformers #pytorch #bert #text-classification #autotrain #unk #dataset-Luojike/autotrain-data-test_3 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1071537591
- CO2 Emissions (in grams): 0.03985401798934018## Validation Metrics

- Loss: 0.5283975601196289
- Accuracy: 0.7389705882352942
- Precision: 0.5032894736842105
- Recall: 0.3574766355140187
- AUC: 0.7135599403856304
- F1: 0.41803278688524587## Usage

You can use cURL to access this model:



Or Python API: