bart-dialogsum / README.md
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metadata
license: apache-2.0
base_model: facebook/bart-base
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: dialogsum_6593_bart-base
    results: []

dialogsum_6593_bart-base

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

  • Loss: 0.3997
  • Rouge1: 0.4226
  • Rouge2: 0.2139
  • Rougel: 0.3698
  • Rougelsum: 0.37
  • Gen Len: 19.86

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:

  • learning_rate: 5e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
0.3756 2.57 500 0.4106 0.4083 0.19 0.3536 0.3534 19.944
0.2843 5.14 1000 0.4048 0.422 0.2134 0.3678 0.3681 19.848
0.2561 7.7 1500 0.3997 0.4226 0.2139 0.3698 0.37 19.86

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.0.0+cu117
  • Datasets 2.18.0
  • Tokenizers 0.15.2