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Training in progress epoch 2
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metadata
base_model: dmis-lab/biobert-v1.1
tags:
  - generated_from_keras_callback
model-index:
  - name: Meli101/biobert-v1.1-sentence-classifier-tf
    results: []

Meli101/biobert-v1.1-sentence-classifier-tf

This model is a fine-tuned version of dmis-lab/biobert-v1.1 on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.1155
  • Validation Loss: 0.2999
  • Train Precision: 0.9130
  • Train Recall: 0.9134
  • Train Accuracy: 0.9129
  • Train F1: 0.9128
  • Epoch: 2

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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1535, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Validation Loss Train Precision Train Recall Train Accuracy Train F1 Epoch
0.5898 0.3387 0.8804 0.8786 0.8788 0.8788 0
0.2266 0.3110 0.8974 0.8913 0.8910 0.8903 1
0.1155 0.2999 0.9130 0.9134 0.9129 0.9128 2

Framework versions

  • Transformers 4.37.2
  • TensorFlow 2.15.0
  • Datasets 2.17.1
  • Tokenizers 0.15.2