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metadata
license: mit
tags:
  - generated_from_trainer
model-index:
  - name: finetuned-viT5-newwiki-summarization
    results: []

finetuned-viT5-newwiki-summarization

This model is a fine-tuned version of VietAI/vit5-base on the None dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.5808
  • eval_rouge1: 48.8124
  • eval_rouge2: 25.4951
  • eval_rougeL: 35.0057
  • eval_rougeLsum: 37.2134
  • eval_runtime: 515.0078
  • eval_samples_per_second: 3.845
  • eval_steps_per_second: 0.961
  • epoch: 12.0
  • step: 23760

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: 2e-05
  • 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: 0.05
  • num_epochs: 15
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.17.0
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2