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distilbert-base-uncased-finetuned-quora-insincere
This model is a fine-tuned version of distilbert-base-uncased on quora-insincere dataset. It achieves the following results on the evaluation set:
- Loss: 0.0946
- Accuracy: 0.9676
- F1 Score: 0.7309
Model description
LABEL_0 = Sincere question LABEL_1 = Insincere question
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.093 | 1.0 | 62807 | 0.0859 | 0.9644 |
| 0.0695 | 2.0 | 125614 | 0.0946 | 0.9676 |
Evaluation results
'eval_loss': 0.09461139887571335, 'eval_accuracy': 0.9676, 'eval_f1': 0.7308970099667774,
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
