Update README.md

README.md

@@ -1,3 +1,75 @@
 ---
 license: apache-2.0
+language:
+  - tr
+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: 0.82
+            verified: false
+          - type: f1
+            value: 0.76
+            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
+
+    Alakasiz       0.87      0.91      0.89       734
+     Barinma       0.79      0.89      0.84       207
+  Elektronik       0.69      0.83      0.75       130
+       Giysi       0.71      0.81      0.76        94
+    Kurtarma       0.82      0.85      0.83       362
+    Lojistik       0.57      0.67      0.62       112
+      Saglik       0.68      0.85      0.75       108
+          Su       0.56      0.76      0.64        78
+       Yagma       0.60      0.77      0.68        31
+       Yemek       0.71      0.89      0.79       117
+
+   micro avg       0.77      0.86      0.81      1973
+   macro avg       0.70      0.82      0.76      1973
+weighted avg       0.78      0.86      0.82      1973
+ samples avg       0.83      0.88      0.84      1973
+
+
+```
+
+## Threshold:
+- **Best Threshold:** 0.40
+
+```python
+{'per_device_train_batch_size': 32,
+ 'per_device_eval_batch_size': 32,
+ 'learning_rate': 5.8679699888213376e-05,
+ 'weight_decay': 0.03530961718117487,
+ 'num_train_epochs': 4,
+ 'lr_scheduler_type': 'cosine',
+ 'warmup_steps': 40,
+ 'seed': 42,
+ 'fp16': True,
+ 'load_best_model_at_end': True,
+ 'metric_for_best_model': 'macro f1',
+ 'greater_is_better': True,
+```
+## Class Loss Weights
+- Same as Anıl's approach.