## Address NER
- **Language**: Turkish
- **PLM**: dbmdz/bert-base-turkish-128k-cased
- **Macro-F1 Score**: 84%
- **Dataset**: [NER v2 dataset](https://huggingface.co/datasets/deprem-private/ner_v12)
- **Hyperparameters**: per_device_train_batch_size = 16, per_device_eval_batch_size = 32, num_train_epochs = 5, weight_decay = 0.1, warmup_ratio = 0.1, learning_rate = 5e-5

### Model Comparison
|                                                    | Macro-F1 |
|----------------------------------------------------|----------|
| dbmdz/bert-base-turkish-128k-cased                 | 0.84     |
| dbmdz/bert-base-turkish-cased                      | 0.83     |
| bert-base-multilingual-cased                       | 0.79     |
| dbmdz/electra-base-turkish-mc4-cased-discriminator | 0.76     |
| xlm-roberta-base                                   | 0.75     |
| dbmdz/convbert-base-turkish-cased                  | 0.70     |

### Class Performance
|           |   support |   precision |   recall |   f1 |
|:----------|----------:|------------:|---------:|-----:|
| overall   |       957 |        0.84 |     0.88 | 0.86 |
| bina      |        66 |        0.66 |     0.74 | 0.7  |
| bulvar    |        13 |        0.92 |     0.92 | 0.92 |
| cadde     |        57 |        0.77 |     0.84 | 0.81 |
| diskapino |        70 |        0.69 |     0.73 | 0.71 |
| ilce      |       117 |        0.89 |     0.96 | 0.92 |
| isim      |       113 |        0.86 |     0.9  | 0.88 |
| mahalle   |       120 |        0.77 |     0.82 | 0.79 |
| sehir     |       146 |        0.98 |     0.97 | 0.97 |
| site      |        18 |        0.79 |     0.61 | 0.69 |
| sokak     |        62 |        0.72 |     0.74 | 0.73 |
| soyisim   |        98 |        0.94 |     0.95 | 0.94 |
| telefonno |        77 |        0.99 |     1    | 0.99 |

{"language": ["tr"], "tags": ["ner"], "pipeline_tag": "token-classification", "widget": [{"text": "L\u00fctfen yard\u0131m Piyalepasa mahallesi R\u00fczgar sokak Meltem apartman\u0131 no: 22 Hatay akrabalar\u0131m g\u00f6\u00e7\u00fck alt\u0131nda #dummy"}]}
transformers pytorch bert token-classification ner tr autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #token-classification #ner #tr #autotrain_compatible #endpoints_compatible #region-us 

Address NER
-----------


* Language: Turkish
* PLM: dbmdz/bert-base-turkish-128k-cased
* Macro-F1 Score: 84%
* Dataset: NER v2 dataset
* Hyperparameters: per\_device\_train\_batch\_size = 16, per\_device\_eval\_batch\_size = 32, num\_train\_epochs = 5, weight\_decay = 0.1, warmup\_ratio = 0.1, learning\_rate = 5e-5


### Model Comparison



### Class Performance




### Model Comparison ### Class Performance
TAGS
#transformers #pytorch #bert #token-classification #ner #tr #autotrain_compatible #endpoints_compatible #region-us 
 ### Model Comparison ### Class Performance
TAGS
#transformers #pytorch #bert #token-classification #ner #tr #autotrain_compatible #endpoints_compatible #region-us 
### Model Comparison### Class Performance