| --- |
| license: apache-2.0 |
| language: |
| - tr |
| metrics: |
| - accuracy |
| library_name: transformers |
| pipeline_tag: text-classification |
| --- |
| |
| # Türkçe Multi-label Intent Classification RoBERTa |
|
|
| Depremzedelerin ihtiyaçlarını karşılamak için etiketlenmiş eğitilmiş multi-label RoBERTa modeli. Aşağıda değerlendirme sonuçları var. |
|
|
| **Evaluation** |
|
|
| {'eval_loss': 0.18568251545368838, |
| 'eval_runtime': 2.7693, |
| 'eval_samples_per_second': 254.935, |
| 'eval_steps_per_second': 8.305, |
| 'epoch': 3.0} |
|
|
| **Classification Report** |
| ``` |
| precision recall f1-score support |
| |
| Alakasiz 0.95 0.87 0.91 781 |
| Barinma 0.86 0.52 0.65 234 |
| Elektronik 0.00 0.00 0.00 171 |
| Giysi 0.89 0.25 0.39 122 |
| Kurtarma 0.86 0.78 0.82 472 |
| Lojistik 0.00 0.00 0.00 123 |
| Saglik 0.78 0.05 0.09 148 |
| Su 0.92 0.11 0.20 96 |
| Yagma 0.00 0.00 0.00 19 |
| Yemek 0.94 0.42 0.58 158 |
| |
| micro avg 0.91 0.55 0.69 2324 |
| macro avg 0.62 0.30 0.36 2324 |
| weighted avg 0.78 0.55 0.61 2324 |
| samples avg 0.69 0.63 0.65 2324 |
| ``` |
