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