pegasus-model-3-x25

theojolliffe/pegasus-model-3-x25

pegasus-model-3-x25 is a machine learning model from theojolliffe. 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: Sep 17, 2022
Updated: Sep 17, 2022
SHA: 28eb98a1

Model card

From the Hugging Face model README

pegasus-model-3-x25

This model is a fine-tuned version of theojolliffe/pegasus-cnn_dailymail-v4-e1-e4-feedback on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5668
Rouge1: 61.9972
Rouge2: 48.1531
Rougel: 48.845
Rougelsum: 59.5019
Gen Len: 123.0814

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: 1
eval_batch_size: 1
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
1.144	1.0	883	0.5668	61.9972	48.1531	48.845	59.5019	123.0814

Framework versions

Transformers 4.22.1
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1

Library: transformers
Type: pegasus
Created: Sep 17, 2022
Updated: Sep 17, 2022