| | --- |
| | license: apache-2.0 |
| | language: |
| | - tr |
| | metrics: |
| | - accuracy |
| | library_name: transformers |
| | pipeline_tag: text-classification |
| | 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) |
| | ``` |
| |
|
| | ## Training Log |
| | ``` |
| | Epoch Training Loss Validation Loss |
| | 1 No log 0.150276 |
| | 2 0.195100 0.132906 |
| | 3 0.107700 0.128633 |
| | 4 0.107700 0.127795 |
| | ``` |
| |
|
| | ## Threshold Optimization |
| | - **Best Threshold:** 0.1 |
| | - **F1 @ Threshold:** 0.734 |
| |
|
| | ## Eval Results |
| | ``` |
| | precision recall f1-score support |
| | |
| | Alakasiz 0.90 0.87 0.89 734 |
| | Barinma 0.85 0.80 0.83 207 |
| | Elektronik 0.73 0.78 0.75 130 |
| | Giysi 0.83 0.66 0.73 94 |
| | Kurtarma 0.86 0.79 0.82 362 |
| | Lojistik 0.73 0.51 0.60 112 |
| | Saglik 0.74 0.74 0.74 108 |
| | Su 0.64 0.60 0.62 78 |
| | Yagma 0.68 0.55 0.61 31 |
| | Yemek 0.80 0.83 0.81 117 |
| | |
| | micro avg 0.84 0.79 0.81 1973 |
| | macro avg 0.78 0.71 0.74 1973 |
| | weighted avg 0.84 0.79 0.81 1973 |
| | samples avg 0.84 0.82 0.82 1973 |
| | ``` |
