metadata

library_name: transformers
base_model: google/pegasus-xsum
tags:
  - generated_from_trainer
model-index:
  - name: pegasus-xsum-finetuned-cnn
    results: []

pegasus-xsum-finetuned-cnn

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

eval_loss: 1.6115
eval_rouge1: 41.1875
eval_rouge2: 19.2632
eval_rougeL: 28.8605
eval_rougeLsum: 37.8906
eval_gen_len: 59.36
eval_runtime: 887.2653
eval_samples_per_second: 1.127
eval_steps_per_second: 0.282
epoch: 2.0
step: 4000

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1