Edit model card

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
Downloads last month
12
Safetensors
Model size
571M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for chinhon/pegasus-multi_news-malay_headlines_02

Finetuned
(10)
this model

Space using chinhon/pegasus-multi_news-malay_headlines_02 1