---
license: apache-2.0
language:
- tr
tags:
- deprem-ner-v1
metrics:
- accuracy
- recall
- f1
library_name: transformers
pipeline_tag: text-classification
model-index:
- name: deprem_v12
  results:
  - task:
      type: text-classification
    dataset:
      type: deprem_private_dataset_v1_2
      name: deprem_private_dataset_v1_2
    metrics:
      - type: recall
        value: 0.62
        verified: false       
      - type: f1
        value: 0.36
        verified: false         
---

# Türkçe Multi-label Intent Classification RoBERTa

Depremzedelerin ihtiyaçlarını karşılamak için etiketlenmiş eğitilmiş multi-label RoBERTa modeli. Aşağıda değerlendirme sonuçları var. 

**Evaluation**

 - 'eval_loss': 0.18568251545368838,

 - 'eval_runtime': 2.7693,
 
 - 'eval_samples_per_second': 254.935,
 
 - 'eval_steps_per_second': 8.305,
 
 - 'epoch': 3.0

**Classification Report**
```
    precision    recall  f1-score   support

    Alakasiz       0.95      0.87      0.91       781
     Barinma       0.86      0.52      0.65       234
  Elektronik       0.00      0.00      0.00       171
       Giysi       0.89      0.25      0.39       122
    Kurtarma       0.86      0.78      0.82       472
    Lojistik       0.00      0.00      0.00       123
      Saglik       0.78      0.05      0.09       148
          Su       0.92      0.11      0.20        96
       Yagma       0.00      0.00      0.00        19
       Yemek       0.94      0.42      0.58       158

   micro avg       0.91      0.55      0.69      2324
   macro avg       0.62      0.30      0.36      2324
weighted avg       0.78      0.55      0.61      2324
 samples avg       0.69      0.63      0.65      2324
```