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s-man2099/fblc-500

This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 2.8652
  • Validation Loss: 3.3984
  • Epoch: 8

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': 'Adafactor', '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': 6e-06, 'beta_2_decay': -0.8, 'epsilon_1': 1e-30, 'epsilon_2': 0.001, 'clip_threshold': 1.0, 'relative_step': True}
  • training_precision: mixed_float16

Training results

Train Loss Validation Loss Epoch
3.7792 3.4643 0
3.5354 3.4117 1
3.3964 3.3825 2
3.2850 3.3765 3
3.1830 3.3616 4
3.0837 3.3737 5
2.9746 3.3838 6
2.8861 3.3932 7
2.8652 3.3984 8

Framework versions

  • Transformers 4.34.1
  • TensorFlow 2.14.0
  • Datasets 2.14.6
  • Tokenizers 0.14.1
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