readme: ---
  language: ar
  widget:
   - text: "قفا نبك من ذِكرى حبيب ومنزلِ  بسِقطِ اللِّوى بينَ الدَّخول فحَوْملِ"
   - text: "سَلو قَلبي غَداةَ سَلا وَثابا لَعَلَّ عَلى الجَمالِ لَهُ عِتابا"
  
  ---
  
  # Model Trained Using AutoTrain
  
  - Problem type: Multi-class Classification
  - Model ID: 913229914
  - CO2 Emissions (in grams): 1.8892280988467902
  
  ## Validation Metrics
  
  - Loss: 1.0592747926712036
  - Accuracy: 0.6535535147098981
  - Macro F1: 0.46508274468173677
  - Micro F1: 0.6535535147098981
  - Weighted F1: 0.6452975497424681
  - Macro Precision: 0.6288501119526966
  - Micro Precision: 0.6535535147098981
  - Weighted Precision: 0.6818087199275457
  - Macro Recall: 0.3910156950920188
  - Micro Recall: 0.6535535147098981
  - Weighted Recall: 0.6535535147098981
  
  
  ## 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/Yah216/autotrain-poem_meter_classification-913229914
  ```
  
  Or Python API:
  
  ```
  from transformers import AutoModelForSequenceClassification, AutoTokenizer
  
  model = AutoModelForSequenceClassification.from_pretrained("Yah216/autotrain-poem_meter_classification-913229914", use_auth_token=True)
  
  tokenizer = AutoTokenizer.from_pretrained("Yah216/autotrain-poem_meter_classification-913229914", use_auth_token=True)
  
  inputs = tokenizer("I love AutoTrain", return_tensors="pt")
  
  outputs = model(**inputs)
  ```