metadata

base_model: google/pegasus-cnn_dailymail
tags:
  - generated_from_trainer
datasets:
  - samsum
model-index:
  - name: pegasus-samsum
    results: []
pipeline_tag: text2text-generation
widget:
  - text: >-
      Leon: did you find the job yet? 

      Arthur: no bro, still unemployed :D 

      Leon: hahaha, LIVING LIFE 

      Arthur: i love it, waking up at noon, watching sports - what else could a
      man want? 

      Leon: a paycheck? ;) 

      Arthur: don't be mean... 

      Leon: but seriously, my mate has an offer as a junior project manager at
      his company, are you interested? 

      Arthur: sure thing, do you have any details? 

      Leon: <file_photo> 

      Arthur: that actually looks nice, should I reach out directly to your
      friend or just apply to this email address from the screenshot? 

      Leon: it's his email, you can send your resume directly and I will mention
      to him who you are :)

pegasus-samsum

This model is a fine-tuned version of google/pegasus-cnn_dailymail on the samsum dataset.

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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1

Training results

Framework versions

Transformers 4.35.0
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.14.1