metadata

tags:
  - summarization
  - en
  - ecnoder-decoder
  - xlmroberta
  - Abstractive Summarization
  - generated_from_trainer
datasets:
  - cnn_dailymail
model-index:
  - name: xlmroberta-finetune-en-cnn
    results: []

xlmroberta-finetune-en-cnn

This model is a fine-tuned version of on the cnn_dailymail dataset.

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 250
num_epochs: 5
label_smoothing_factor: 0.1

Framework versions

Transformers 4.19.4
Pytorch 1.11.0+cu113
Datasets 2.3.0
Tokenizers 0.12.1