hybrid_hbh_bart-base_icsi_sum

This model is a fine-tuned version of facebook/bart-base on ICSI dataset for dialogue summarization task.

Model description

More information needed

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0005
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 100.0
  • label_smoothing_factor: 0.1

Results on Test Set

  • predict_gen_len = 480.0
  • predict_rouge1 = 46.8707
  • predict_rouge2 = 10.1337
  • predict_rougeL = 19.3386
  • predict_rougeLsum = 43.6989
  • predict_samples = 6
  • predict_samples_per_second = 0.54
  • predict_steps_per_second = 0.27

Framework versions

  • Transformers 4.8.0
  • Pytorch 1.6.0
  • Datasets 1.10.2
  • Tokenizers 0.10.3
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