metadata

tags:
  - generated_from_trainer
metrics:
  - rouge
base_model: google/pegasus-multi_news
model-index:
  - name: pegasus-multi_news-malay_headlines_02
    results: []

pegasus-multi_news-malay_headlines_02

This model is a fine-tuned version of google/pegasus-multi_news on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.9295
Rouge1: 39.9859
Rouge2: 20.1943
Rougel: 36.1927
Rougelsum: 36.2105
Gen Len: 35.6062

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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.0943	1.0	53582	1.9295	39.9859	20.1943	36.1927	36.2105	35.6062

Framework versions

Transformers 4.12.3
Pytorch 1.10.0+cu111
Datasets 1.15.1
Tokenizers 0.10.3