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ltanh99/ssbc_model_spearman_6_labels

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.5058
  • Validation Loss: 0.8062
  • Train Spearmanr: 0.7634
  • 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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2480, '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 Spearmanr Epoch
1.0449 0.8469 0.7108 0
0.7696 0.8105 0.7215 1
0.6504 0.7735 0.7666 2
0.5687 0.8120 0.7500 3
0.5058 0.8062 0.7634 4

Framework versions

  • Transformers 4.35.0
  • TensorFlow 2.14.0
  • Datasets 2.14.6
  • Tokenizers 0.14.1
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