pegasus-xsum-reddit-clean-4

jonathanrichard13/pegasus-xsum-reddit-clean-4

pegasus-xsum-reddit-clean-4 is a machine learning model from jonathanrichard13. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
Model type: pegasus
Access: Public
Created: Nov 19, 2022
Updated: Nov 19, 2022
SHA: 68596f6a

Datasets

Model card

From the Hugging Face model README

pegasus-xsum-reddit-clean-4

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

Loss: 2.7697
Rouge1: 27.7525
Rouge2: 7.9823
Rougel: 20.9276
Rougelsum: 22.6678

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: 5.6e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
3.0594	1.0	1906	2.8489	27.9837	8.0824	20.9135	22.7261
2.861	2.0	3812	2.7793	27.8298	8.048	20.8653	22.6781
2.7358	3.0	5718	2.7697	27.7525	7.9823	20.9276	22.6678

Framework versions

Transformers 4.20.1
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1

Library: transformers
Type: pegasus
Created: Nov 19, 2022
Updated: Nov 19, 2022