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--- |
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license: apache-2.0 |
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language: |
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- tr |
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tags: |
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- deprem-clf-v1 |
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metrics: |
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- accuracy |
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- recall |
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- f1 |
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library_name: transformers |
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pipeline_tag: text-classification |
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model-index: |
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- name: deprem_v12 |
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results: |
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- task: |
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type: text-classification |
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dataset: |
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type: deprem_private_dataset_v1_2 |
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name: deprem_private_dataset_v1_2 |
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metrics: |
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- type: recall |
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value: 0.62 |
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verified: false |
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- type: f1 |
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value: 0.36 |
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verified: false |
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--- |
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# Türkçe Multi-label Intent Classification RoBERTa |
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Depremzedelerin ihtiyaçlarını karşılamak için etiketlenmiş eğitilmiş multi-label RoBERTa modeli. Aşağıda değerlendirme sonuçları var. |
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**Evaluation** |
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- 'eval_loss': 0.18568251545368838, |
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- 'eval_runtime': 2.7693, |
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- 'eval_samples_per_second': 254.935, |
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- 'eval_steps_per_second': 8.305, |
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- 'epoch': 3.0 |
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**Classification Report** |
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``` |
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precision recall f1-score support |
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Alakasiz 0.95 0.87 0.91 781 |
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Barinma 0.86 0.52 0.65 234 |
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Elektronik 0.00 0.00 0.00 171 |
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Giysi 0.89 0.25 0.39 122 |
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Kurtarma 0.86 0.78 0.82 472 |
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Lojistik 0.00 0.00 0.00 123 |
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Saglik 0.78 0.05 0.09 148 |
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Su 0.92 0.11 0.20 96 |
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Yagma 0.00 0.00 0.00 19 |
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Yemek 0.94 0.42 0.58 158 |
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micro avg 0.91 0.55 0.69 2324 |
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macro avg 0.62 0.30 0.36 2324 |
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weighted avg 0.78 0.55 0.61 2324 |
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samples avg 0.69 0.63 0.65 2324 |
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``` |
