metadata

base_model: google/pegasus-xsum
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: pegasus-xsum-finetuned-keyfindings
    results: []

pegasus-xsum-finetuned-keyfindings

This model is a fine-tuned version of google/pegasus-xsum on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.5754
Rouge1: 49.1483
Rouge2: 26.7485
Rougel: 40.7712
Rougelsum: 40.7847
Gen Len: 31.5733

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: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	300	1.5754	49.1483	26.7485	40.7712	40.7847	31.5733

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.15.2