khadija69/mdebertaV3_BIES_stem_1K_5

This model is a fine-tuned version of khadija69/mdebertaV3_BIES_stem_1K_4 on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.3639
  • Train Accuracy: 0.6041
  • Validation Loss: 0.6764
  • Validation Accuracy: 0.5769
  • Epoch: 5

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': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1300, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 500, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, '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 Train Accuracy Validation Loss Validation Accuracy Epoch
0.6208 0.5581 0.6383 0.5764 0
0.5789 0.5635 0.6300 0.5763 1
0.5069 0.5771 0.6386 0.5743 2
0.4399 0.5901 0.6550 0.5736 3
0.3970 0.5974 0.6634 0.5787 4
0.3639 0.6041 0.6764 0.5769 5

Framework versions

  • Transformers 4.42.3
  • TensorFlow 2.15.0
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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