metadata
base_model: google/pegasus-cnn_dailymail
tags:
- generated_from_trainer
datasets:
- xlsum
model-index:
- name: my_awesome_pegsasus_model
results: []
language:
- en
metrics:
- rouge
my_awesome_pegsasus_model
This model is a fine-tuned version of google/pegasus-cnn_dailymail on the xlsum dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
Metric | Score |
---|---|
ROUGE-1 F1 | 0.386277 |
ROUGE-2 F1 | 0.166917 |
ROUGE-L F1 | 0.301018 |
ROUGE-LSUM F1 | 0.300885 |
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3