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--- |
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license: apache-2.0 |
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base_model: distilbert-base-uncased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: distilbert-base-uncased-finetuned-quora-insincere |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# distilbert-base-uncased-finetuned-quora-insincere |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on [quora-insincere](https://huggingface.co/datasets/UKPLab/insincere-questions) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0946 |
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- Accuracy: 0.9676 |
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- F1 Score: 0.7309 |
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## Model description |
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LABEL_0 = Sincere question |
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LABEL_1 = Insincere question |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 20 |
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- eval_batch_size: 20 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:------:|:---------------:|:--------:| |
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| 0.093 | 1.0 | 62807 | 0.0859 | 0.9644 | |
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| 0.0695 | 2.0 | 125614 | 0.0946 | 0.9676 | |
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### Evaluation results |
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'eval_loss': 0.09461139887571335, |
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'eval_accuracy': 0.9676, |
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'eval_f1': 0.7308970099667774, |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
