metadata

tags:
  - summarization
  - ar
  - encoder-decoder
  - mbert
  - Abstractive Summarization
  - generated_from_trainer
datasets:
  - xlsum
model-index:
  - name: mbert2mbert-finetuned-ar-xlsum
    results: []

mbert2mbert-finetuned-ar-xlsum

This model is a fine-tuned version of on the xlsum 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: 5e-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_steps: 250
num_epochs: 8
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