pegasus-x-base-finetuned-samsum

This model is a fine-tuned version of google/pegasus-x-base on the samsum dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7441
  • Rouge1: 43.0253
  • Rouge2: 20.9504
  • Rougel: 36.3838
  • Rougelsum: 39.2974
  • Gen Len: 17.6797

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: 1e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • 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
1.9353 1.0 7366 1.7441 43.0253 20.9504 36.3838 39.2974 17.6797

Framework versions

  • Transformers 4.27.4
  • Pytorch 2.0.0+cu118
  • Datasets 2.11.0
  • Tokenizers 0.13.3
Downloads last month
9
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.

Dataset used to train sohamchougule/pegasus-x-base-finetuned-samsum

Evaluation results