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---
license: apache-2.0
language:
- tr
tags:
- deprem-clf-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
``` |