Clini-dialog-sum-T5 / README.md
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metadata
license: mit
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: tst-summarization
    results: []

tst-summarization

This model is a fine-tuned version of henryu-lin/t5-large-samsum-deepspeed on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3922
  • Rouge1: 54.905
  • Rouge2: 26.6374
  • Rougel: 40.4619
  • Rougelsum: 52.3653
  • Gen Len: 104.7241

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: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Framework versions

  • Transformers 4.18.0.dev0
  • Pytorch 1.10.0
  • Datasets 1.18.4
  • Tokenizers 0.11.6