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--- |
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license: mit |
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datasets: |
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- halilbabacan/combined_synthetic_cognitive_distortions |
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language: |
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- en |
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metrics: |
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- accuracy |
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pipeline_tag: text-classification |
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--- |
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Epoch 1/3: 100%|██████████| 227/227 [01:15<00:00, 3.01it/s] |
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Validation: 100%|██████████| 57/57 [00:06<00:00, 9.39it/s] |
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Epoch: 1 |
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Train Loss: 1.5372 |
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Validation Loss: 0.8488 |
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Accuracy: 0.7200 |
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Error Rate: 0.2800 |
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Epoch 2/3: 100%|██████████| 227/227 [01:17<00:00, 2.93it/s] |
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Validation: 100%|██████████| 57/57 [00:06<00:00, 9.28it/s] |
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Epoch: 2 |
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Train Loss: 0.7906 |
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Validation Loss: 0.7300 |
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Accuracy: 0.7850 |
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Error Rate: 0.2150 |
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Epoch 3/3: 100%|██████████| 227/227 [01:17<00:00, 2.94it/s] |
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Validation: 100%|██████████| 57/57 [00:06<00:00, 9.28it/s] |
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Epoch: 3 |
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Train Loss: 0.5461 |
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Validation Loss: 0.7143 |
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Accuracy: 0.7718 |
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Error Rate: 0.2282 |
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Sınıf Bazlı Metrikler: |
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Mind Reading: |
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Precision: 0.8933 |
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Recall: 0.7444 |
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F1-Score: 0.8121 |
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Support: 90 |
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Overgeneralization: |
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Precision: 0.5977 |
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Recall: 0.6118 |
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F1-Score: 0.6047 |
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Support: 85 |
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Magnification: |
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Precision: 0.7015 |
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Recall: 0.6026 |
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F1-Score: 0.6483 |
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Support: 78 |
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Labelling: |
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Precision: 0.7347 |
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Recall: 0.9730 |
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F1-Score: 0.8372 |
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Support: 37 |
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Personalization: |
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Precision: 0.5800 |
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Recall: 0.8657 |
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F1-Score: 0.6946 |
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Support: 67 |
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Fortune-telling: |
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Precision: 0.8608 |
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Recall: 0.7816 |
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F1-Score: 0.8193 |
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Support: 87 |
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Emotional Reasoning: |
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Precision: 0.5676 |
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Recall: 0.7500 |
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F1-Score: 0.6462 |
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Support: 56 |
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Mental Filter: |
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Precision: 1.0000 |
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Recall: 1.0000 |
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F1-Score: 1.0000 |
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Support: 46 |
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Should Statements: |
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Precision: 1.0000 |
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Recall: 1.0000 |
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F1-Score: 1.0000 |
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Support: 46 |
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All-or-Nothing Thinking: |
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Precision: 1.0000 |
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Recall: 1.0000 |
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F1-Score: 1.0000 |
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Support: 23 |
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Labeling: |
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Precision: 0.7692 |
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Recall: 0.2857 |
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F1-Score: 0.4167 |
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Support: 35 |
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No Distortion: |
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Precision: 0.9442 |
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Recall: 0.9789 |
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F1-Score: 0.9612 |
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Support: 190 |
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All-or-nothing thinking: |
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Precision: 0.5000 |
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Recall: 0.0625 |
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F1-Score: 0.1111 |
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Support: 16 |
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Mental filter: |
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Precision: 0.2500 |
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Recall: 0.3750 |
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F1-Score: 0.3000 |
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Support: 24 |
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Should statements: |
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Precision: 0.6923 |
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Recall: 0.3333 |
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F1-Score: 0.4500 |
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Support: 27 |
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Sınıf Mind Reading: |
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True Positive: 67 |
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False Positive: 8 |
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True Negative: 809 |
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False Negative: 23 |
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Sınıf Overgeneralization: |
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True Positive: 52 |
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False Positive: 35 |
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True Negative: 787 |
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False Negative: 33 |
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Sınıf Magnification: |
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True Positive: 47 |
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False Positive: 20 |
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True Negative: 809 |
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False Negative: 31 |
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Sınıf Labelling: |
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True Positive: 36 |
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False Positive: 13 |
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True Negative: 857 |
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False Negative: 1 |
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Sınıf Personalization: |
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True Positive: 58 |
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False Positive: 42 |
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True Negative: 798 |
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False Negative: 9 |
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Sınıf Fortune-telling: |
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True Positive: 68 |
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False Positive: 11 |
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True Negative: 809 |
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False Negative: 19 |
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Sınıf Emotional Reasoning: |
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True Positive: 42 |
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False Positive: 32 |
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True Negative: 819 |
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False Negative: 14 |
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Sınıf Mental Filter: |
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True Positive: 46 |
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False Positive: 0 |
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True Negative: 861 |
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False Negative: 0 |
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Sınıf Should Statements: |
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True Positive: 46 |
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False Positive: 0 |
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True Negative: 861 |
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False Negative: 0 |
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Sınıf All-or-Nothing Thinking: |
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True Positive: 23 |
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False Positive: 0 |
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True Negative: 884 |
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False Negative: 0 |
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Sınıf Labeling: |
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True Positive: 10 |
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False Positive: 3 |
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True Negative: 869 |
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False Negative: 25 |
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Sınıf No Distortion: |
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True Positive: 186 |
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False Positive: 11 |
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True Negative: 706 |
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False Negative: 4 |
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Sınıf All-or-nothing thinking: |
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True Positive: 1 |
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False Positive: 1 |
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True Negative: 890 |
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False Negative: 15 |
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Sınıf Mental filter: |
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True Positive: 9 |
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False Positive: 27 |
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True Negative: 856 |
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False Negative: 15 |
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Sınıf Should statements: |
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True Positive: 9 |
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False Positive: 4 |
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True Negative: 876 |
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False Negative: 18 |
