metadata

base_model: Priyanka-Balivada/pegasus-samsum
tags:
  - generated_from_trainer
datasets:
  - samsum
model-index:
  - name: pegasus-samsum
    results: []

pegasus-samsum

This model is a fine-tuned version of Priyanka-Balivada/pegasus-samsum 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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
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 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1