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README.md
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### Training Hyperparameters
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Model: distilbert/distilbert-base-uncased
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Learning Rate: 3e-5
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Epochs: 7
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Train Batch Size: 16
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Gradient Accumulation Steps: 2
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Weight Decay: 0.015
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Warm-up Ratio: 0.1
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### Evaluation
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### Metrics
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Accuracy: 0.947
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Precision: 0.948
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Recall: 0.948
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F1-Score: 0.948
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### Training Hyperparameters
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Model: distilbert/distilbert-base-uncased
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Learning Rate: 3e-5
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Epochs: 7
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Train Batch Size: 16
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Gradient Accumulation Steps: 2
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Weight Decay: 0.015
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Warm-up Ratio: 0.1
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### Evaluation
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### Metrics
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Accuracy: 0.947
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Precision: 0.948
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Recall: 0.948
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F1-Score: 0.948
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