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metadata
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: 0.75
            verified: false
          - type: f1
            value: 0.75
            verified: false
widget:
  - text: >-
      HATAY DEFNE İLÇESİNE yardımlar gitmiyor Özellikle çadıra battaniyeye
      yiyeceğe ihtiyaç var. Antakyanın dışında olduğu için tüm yardimlar 
      İSKENDERUNA ANTAKYAYA gidiyor. Bu bölgeye gitmiyor..DEFNE İLÇESİNE GİDECEK
      ERZAK Çadır yardımlarını
    example_title: Örnek

Train-Test Set: "intent-multilabel-v1-2.zip"

Model: "dbmdz/bert-base-turkish-cased"

Tokenizer Params

max_length=128
padding="max_length"
truncation=True

Training Params

evaluation_strategy = "epoch"
save_strategy = "epoch"
per_device_train_batch_size = 16
per_device_eval_batch_size = 16
num_train_epochs = 4
load_best_model_at_end = True

Train-Val Splitting Configuration

train_test_split(df_train,
                 test_size=0.1,
                 random_state=1111)

Class Loss Weights

  • Alakasiz: 1.0
  • Barinma: 1.5167249178108022
  • Elektronik: 1.7547338578655642
  • Giysi: 1.9610520059358458
  • Kurtarma: 1.269341370129623
  • Lojistik: 1.8684086209021484
  • Saglik: 1.8019018017117145
  • Su: 2.110648663094536
  • Yagma: 3.081208739200435
  • Yemek: 1.7994815143101963

Training Log (Class-Scaled)

Epoch	Training Loss	Validation Loss
1	    No log	        0.216295
2	    0.260000	    0.171498
3	    0.142700	    0.175608
4	    0.142700	    0.169851

Threshold Optimization

  • Best Threshold: 0.15
  • F1 @ Threshold: 0.7503

Eval Results

              precision    recall  f1-score   support

    Alakasiz       0.91      0.87      0.89       734
     Barinma       0.85      0.81      0.83       207
  Elektronik       0.72      0.78      0.75       130
       Giysi       0.73      0.67      0.70        94
    Kurtarma       0.86      0.81      0.83       362
    Lojistik       0.68      0.56      0.62       112
      Saglik       0.72      0.81      0.76       108
          Su       0.61      0.69      0.65        78
       Yagma       0.67      0.65      0.66        31
       Yemek       0.79      0.85      0.82       117

   micro avg       0.82      0.81      0.81      1973
   macro avg       0.75      0.75      0.75      1973
weighted avg       0.83      0.81      0.81      1973
 samples avg       0.84      0.84      0.83      1973