hybrid_hbh_t5-small_ami_sum

This model is a fine-tuned version of t5-small on an AMI 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: 4
  • eval_batch_size: 4
  • 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 = 329.2
  • predict_rouge1 = 48.7673
  • predict_rouge2 = 18.1832
  • predict_rougeL = 26.1713
  • predict_rougeLsum = 46.8434
  • predict_samples = 20
  • predict_samples_per_second = 1.098
  • predict_steps_per_second = 0.274

Framework versions

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