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cognitive_distortions_gpt_roberta_2k
halilbabacan/cognitive_distortions_gpt_roberta_2k
cognitive_distortions_gpt_roberta_2k is a text classification model from halilbabacan. Use it when you need a label for a piece of text. The card lists the license as mit.
Epoch 1/3: 100%|██████████| 100/100 [00:22<00:00, 4.49it/s] Validation: 100%|██████████| 26/26 [00:01<00:00, 16.91it/s] Epoch: 1 Train Loss: 1.1479 Validation Loss: 0.2109 Accuracy: 0.9352 Error Rate: 0.0648 Epoch 2/3…
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Updated Aug 5, 2024
Repo size
499 MB
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At a glance
- Task
- Text Classification
- License
- mit
- Access
- Public
- Created
- Aug 5, 2024
- Updated
- Aug 5, 2024
- SHA
- d35667cb
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Model card
From the Hugging Face model README
Epoch 1/3: 100%|██████████| 100/100 [00:22<00:00, 4.49it/s] Validation: 100%|██████████| 26/26 [00:01<00:00, 16.91it/s] Epoch: 1 Train Loss: 1.1479 Validation Loss: 0.2109 Accuracy: 0.9352 Error Rate: 0.0648 Epoch 2/3: 100%|██████████| 100/100 [00:12<00:00, 8.01it/s] Validation: 100%|██████████| 26/26 [00:00<00:00, 32.50it/s] Epoch: 2 Train Loss: 0.1944 Validation Loss: 0.1589 Accuracy: 0.9476 Error Rate: 0.0524 Epoch 3/3: 100%|██████████| 100/100 [00:12<00:00, 8.29it/s] Validation: 100%|██████████| 26/26 [00:00<00:00, 31.56it/s] Epoch: 3 Train Loss: 0.1459 Validation Loss: 0.1564 Accuracy: 0.9401 Error Rate: 0.0599
Sınıf Bazlı Metrikler:
Mind Reading: Precision: 1.0000 Recall: 1.0000 F1-Score: 1.0000 Support: 36.0
Overgeneralization: Precision: 0.9032 Recall: 0.5957 F1-Score: 0.7179 Support: 47.0
Magnification: Precision: 0.9773 Recall: 0.9348 F1-Score: 0.9556 Support: 46.0
Labelling: Precision: 0.6481 Recall: 0.9722 F1-Score: 0.7778 Support: 36.0
Personalization: Precision: 1.0000 Recall: 1.0000 F1-Score: 1.0000 Support: 37.0
Fortune-telling: Precision: 1.0000 Recall: 1.0000 F1-Score: 1.0000 Support: 36.0
Emotional Reasoning: Precision: 1.0000 Recall: 1.0000 F1-Score: 1.0000 Support: 44.0
Mental Filter: Precision: 1.0000 Recall: 1.0000 F1-Score: 1.0000 Support: 42.0
Should Statements: Precision: 1.0000 Recall: 1.0000 F1-Score: 1.0000 Support: 38.0
All-or-Nothing Thinking: Precision: 0.9744 Recall: 0.9744 F1-Score: 0.9744 Support: 39.0
Sınıf Mind Reading: True Positive: 36 False Positive: 0 True Negative: 365 False Negative: 0
Sınıf Overgeneralization: True Positive: 28 False Positive: 3 True Negative: 351 False Negative: 19
Sınıf Magnification: True Positive: 43 False Positive: 1 True Negative: 354 False Negative: 3
Sınıf Labelling: True Positive: 35 False Positive: 19 True Negative: 346 False Negative: 1
Sınıf Personalization: True Positive: 37 False Positive: 0 True Negative: 364 False Negative: 0
Sınıf Fortune-telling: True Positive: 36 False Positive: 0 True Negative: 365 False Negative: 0
Sınıf Emotional Reasoning: True Positive: 44 False Positive: 0 True Negative: 357 False Negative: 0
Sınıf Mental Filter: True Positive: 42 False Positive: 0 True Negative: 359 False Negative: 0
Sınıf Should Statements: True Positive: 38 False Positive: 0 True Negative: 363 False Negative: 0
Sınıf All-or-Nothing Thinking: True Positive: 38 False Positive: 1 True Negative: 361 False Negative: 1
- Task
- Text Classification
- License
- mit
- Languages
- en
- Created
- Aug 5, 2024
- Updated
- Aug 5, 2024