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---
license: apache-2.0
language:
- tr
metrics:
- accuracy
- recall
- f1
library_name: transformers
pipeline_tag: text-classification
model-index:
- name: deprem_v1_3
results:
- task:
type: text-classification
dataset:
type: deprem_private_dataset_v1_3
name: deprem_private_dataset_v1_3
metrics:
- type: recall
value: 0.85
verified: false
- type: f1
value: 0.84
verified: false
widget:
- text: >-
acil acil acil antakyadan istanbula gitmek için antakya expoya ulaşmaya çalışan 19 kişilik bir aile için şehir içi ulaşım desteği istiyoruz. dışardalar üşüyorlar.iletebileceğiniz numaraları bekliyorum
example_title: Örnek
---
## Eval Results
```
precision recall f1-score support
Lojistik 0.81 0.79 0.80 38
Elektrik Kaynagi 0.73 0.91 0.81 56
Arama Ekipmani 0.79 0.74 0.76 128
Cenaze 1.00 0.50 0.67 2
Giysi 0.82 0.96 0.89 138
Enkaz Kaldirma 0.94 0.94 0.94 919
Isinma 0.84 0.89 0.86 185
Barınma 0.96 0.96 0.96 483
Tuvalet 0.67 0.80 0.73 10
Su 0.83 0.87 0.85 67
Yemek 0.89 0.96 0.92 202
Saglik 0.80 0.88 0.83 104
Alakasiz 0.90 0.82 0.86 377
micro avg 0.89 0.91 0.90 2709
macro avg 0.84 0.85 0.84 2709
weighted avg 0.90 0.91 0.90 2709
samples avg 0.91 0.92 0.91 2709
```
## Threshold:
- **Best Threshold:** 0.53
## Class Loss Weights
```python
[3.017203135650159,
2.4823691788825464,
1.941736822154725,
6.172646581418988,
1.8759436445637834,
1.0,
1.75011143349181,
1.2730236191357969,
4.849237178079731,
2.4857419672410703,
1.6324480531290084,
2.0033774839735035,
1.3688883733394182]
```
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