README.md

metadata

tags:
  - summarization
  - en
  - mt5
  - Abstractive Summarization
  - generated_from_trainer
datasets:
  - cnn_dailymail
model-index:
  - name: mT5_multilingual_XLSum-finetuned-en-cnn
    results: []

mT5_multilingual_XLSum-finetuned-en-cnn

This model is a fine-tuned version of csebuetnlp/mT5_multilingual_XLSum on the cnn_dailymail dataset. It achieves the following results on the evaluation set:

• Loss: 3.0025
• Rouge-1: 36.87
• Rouge-2: 15.31
• Rouge-l: 33.74
• Gen Len: 77.93
• Bertscore: 88.28

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: 0.0005
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 250
• num_epochs: 4
• label_smoothing_factor: 0.1

Training results

Framework versions

• Transformers 4.19.2
• Pytorch 1.11.0+cu113
• Datasets 2.2.2
• Tokenizers 0.12.1