Sidziesama/Legal NER Support Model This model is a fine tuned version of nlpaueb/legal bert base uncased on opennyaiorg/InLegalNER. It achieves the following results on the evaluation set: Train Loss: 0.0501 Validation Loss: 0.0883 Train Precision: 0.8848 Train Recall: 0.9160 Train F1: 0.9001 Train Accuracy: 0.9757 Epoch: 4 Model description More information needed Intended uses & limitations More information needed Training and evaluation data More information needed Training procedure Training hyperparameters The following hyperparameters were used during training: optimizer: {'name': 'AdamWeightDecay', 'learning rate': {'module': 'keras.optimizers.schedules', 'class name': 'PolynomialDecay', 'config': {'initial learning rate': 2e 05, 'decay steps': 2945, '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} training precision: float32 Training results Train Loss Validation Loss Train Precision Train Recall Train F1 Train Accuracy Epoch : : : : : : : : : : : : : : 0.3771 0.1228 0.8400 0.8644 0.8520 0.9655 0 0.1172 0.0962 0.8715 0.…
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