File size: 2,265 Bytes
775db62 7164e40 8003bfe 7164e40 775db62 7164e40 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 |
---
license: apache-2.0
language:
- tr
metrics:
- accuracy
- recall
- f1
tags:
- deprem-clf-v13
library_name: transformers
pipeline_tag: text-classification
model-index:
- name: deprem_v13
results:
- task:
type: text-classification
dataset:
type: deprem_private_dataset_v13
name: deprem_private_dataset_v13
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 9 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]
``` |