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README.md
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# Lagadro/teknofest_ner_mammo
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This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on an
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It achieves the following results on the evaluation set:
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- Train Loss: 0.0812
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- Validation Loss: 0.0961
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 260, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
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- training_precision: float32
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- Name: AdamWeightDecay
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- Learning Rate:
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- Module: keras.optimizers.schedules
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# Lagadro/teknofest_ner_mammo
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This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on an private mammogram reports dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.0812
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- Validation Loss: 0.0961
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### Training hyperparameters
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- Name: AdamWeightDecay
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- Learning Rate:
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- Module: keras.optimizers.schedules
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